index department of civil engineering project...

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INDEX

S.No

Department Of Civil Engineering Project Compendium (2015-16)

Name of the Faculty Project Domain Project Title Page

No.

1 Dr. B. Naga

Malleswara Rao

Surface water Hydrology

Design of Water Harvesting Structures using SWAT

2 Dr. B. Naga

Malleswara Rao

Ground water Hydrology

Effectiveness of Kozeny-Carman equation to predict Saturated Hydraulic Conductivity for clay affected soils

3 Dr. A.Mallika Seismic Resistant Designs

Effect of floating columns on Seismic performance of multi-storey buildings in different seismic zones

4 Dr. A.Mallika Seismic Resistant

Designs

Comparative study on Seismic performance of buildings with flat slab and conventional

slab systems

5 Dr. B.D.V. Chandra

Mohan Rao

Earthquake Engineering

Response Spectrum

Analysis of RC Step-back

Buildings on Sloping

Ground

6 Dr. B.D.V. Chandra

Mohan Rao

Earthquake Engineering Response Spectrum

Analysis of RC Set-back

Buildings on Plain

Ground

2

7 Dr Purnendu N.

Singh

Water Resources-

Hydrology

Infiltration into a One

Dimensional Soil Profile

Using Hydrus 1-D

8 Dr Purnendu N.

Singh

Irrigation Engineering Design of a Barrage and

Canal Head Regulator

9 Dr.K.Ramujee

Materials for sustainable development-Geopolymer concrete

Performance characteristics of Geopolymer Concrete subjected to elevated temperatures

10 Dr.K.Ramujee

Materials for sustainable development-Geopolymer concrete

Fracture behavior of fly ash based geopolymer concrete.

11 Dr. A. Ramesh

Traffic Modeling &

Safety

Assessment of Pedestrian safety at urban intersections using simulation technique and surrogate safety measures”

12 Dr. A. Ramesh Pavement Material

Characterization

Rutting performance on

hma layer for bailey

gradation”

13 Dr. K. Ravikumar Surface Water

Hydrology

Design of Water Harvesting for the VNR VJIET Campus using HEC models

14 Dr. K. Ravikumar Groundwater Quality

modeling

Ground water Quality

modeling of Bachupally

village

15 Sri. B. Narendra

Kumar

Special Concretes An Experimental Investigation on High Strength Self Compacted Self Curing Concrete

3

16 Sri. B. Narendra

Kumar

Pavement materials. An Experimental Investigation on High Strength Pre Tensioned slabs Incorporating Quartx materials of self curing co,pacting concrete

17 Deepti A. Pavement materials. Resilient moduli

based design charts

to evaluate

thickness of

reclaimed asphalt

pavement as base

course

18 Deepti A Pavement materials. Reclaimed asphalt

pavements in flexible

pavement applications

19 M. Jyothi Special Concretes The Performance of

Basalt Fibre in Concrete

20 M. Jyothi Special Concretes Basalt Fiber as a

Strengthening Material

for Concrete Structures

21 Rama Tammu GIS; DRASTIC Model A GIS based DRASTIC

Model for assessing

Aquifer Vulnerability: A

case study

22 Rama Tammu GIS

A GIS based Decision

Support System For

Rainwater Harvesting: A

case study

23 K.Suresh Shear Strength of soils variation of shear strength parameters of cohesion less soils under different strain rate conditions using

4

direct shear apparatus Fume

24 K.Suresh To increase the shear

strength of soils.

Effect of Geo synthetics

on shear strength of

Cohesive soils

25 Mr.PVS Gopi

Raghunadh

Environment Management

Development of Natural Resource Action Plan Using Remote Sensing and GIS-A case study Bachupalli Area

26 Mr.PVS Gopi

Raghunadh

Sustainable

Development

(Environment

Management)(cross

domain)

Autonomous Building-A case study D-Block VNRVJIET

27 T.SrinivasaRao Rigid pavements Experimental studies on

behavior of fly ash mixed

fiber reinforced concrete

for rigid pavements

28 T.SrinivasaRao GIS Lab Mapping of

Evapotranspiration Areas

using GIS

29 G AVS Sandeep

Kumar

Concrete Performance Assessment

of RC beams with CFRP

and gfrp sheets

30 G AVS Sandeep

Kumar

STAAD.Pro Analysis & Design of

Multi Storey Residential

Building

31 T. Naga Teja Traffic Engineering. Walkability index of Vnr

5

Vjiet College campus

32 T. Naga Teja Traffic Engineering. Traffic Signal Design and

Co-ordination

33 K.Vamshi krishna Traffic Engineering Study and analysis of

public and private

Transport accessibility

34 K.Vamshi krishna Flexible pavements Rutting Characteristics

of bituminous mixes

modified with poly vinyl

chloride.

35 E.Jeevana Smitha

Geotechnical Lab Drying and Wetting of Soils

36 E.Jeevana Smitha

Geotechnical Lab Effect of Grain size Distribution on soils using Geosynthetics.

37 P.Arti Sudam Geotechnical Lab

Drying strength tests on

soils

38 P.Arti Sudam Geotechnical Lab Hydraulic characteristics of soil

39 Durga Prasad. R Repair & Rehabilitation

of structures

Strengthening of RCC beams Glass Fiber Reinforced Polymer Wraps

40 Durga Prasad. R Concrete Technology Studies on Mechanical and Durability Characteristics of UHPC

41 K Veerendra Gopi Water Resources Estimating the depletion rate in Ground water table using Arc

42 K Veerendra Gopi Hydrology Development of IDF curves using Disaggregated rainfall data

43 Chandana N Environmental

Engineering

Solid waste management

44 Chandana N Environmental Indoor Air pollution

6

engineering

45 Shweta Rao Transportation

Engineering

Traffic capacity studies at roundabouts

46 Shweta Rao Transportation

engineering

Capacity Estimation of

4-lane divided Inter

Urban Hill Road Using

Videography Technique.

47 Chellapilla Haritha Traffic Engineering

Modelling of Non-motorized vehicles activity in heterogeneous traffic conditions

48 B.A.V. Ram Kumar Pavement materials and construction

Alternate binders for the production of paver blocks

49 B.A.V. Ram Kumar Pavement materials and construction

Influence of quartzite rock dust and glass fibers on rigid pavements.

50 Y Swati Lakshmi Environmental Engineering

Mapping Of Socio Economic Drought Vulnerable Areas Using Various Indices For Maharashtra

7

Project Domain : Surface water Hydrology Project Title - 1 : Design of Water Harvesting Structures using SWAT Guide : Dr. B.Naga Malleswara Rao Qualification : Ph. D. Specialization : Water Resources Engineering Research Interest : Watershed Modeling, Ground water Modeling and GIS Project Description:

The Sherman’s unit hydrograph is based on observed rainfall and runoff data, and hence it is

only applicable for gauged basins. Unfortunately, the majority of watersheds are ungauged. Primarily

based on empirical equations, synthetic unit hydrographs attempt to extend the application of unit

hydrograph theory to ungauged catchments. Synthetic unit hydrographs try to relate the unit hydrograph

shape to watershed characteristics such as basin length and area (Yen and Lee, 1997). Because synthetic

methods do not rely on observed runoff data, they may be applied to ungauged watersheds.

Model selection for prediction should also consider the local physical properties of the

environment. The model should be flexible so that the characteristics of drainage basins can be updated

constantly. There are a few models that can be implemented given the level of monitoring data. One of

the models is SCS curve number (CN) model that associates precipitation and runoff in watershed

context. A so-called CN can be used to characterize the overall property of drainage basins in

influencing the relationship of rainfall and runoff. The SCS unit hydrograph is based on a dimensionless

hydrograph. The time to peak is estimated based on the duration of effective rainfall and the lag time

between the centroid of the excess rainfall and the time to peak. The lag time is calculated using the

watershed length, the average slope, and a factor based on watershed storage. The peak flow rate is

based on the watershed area and the time to peak. Finally the estimated runoff is used in the design of

Water Harvesting structures of a watershed.

Future Expansion of the Project: To develop integrated decision support system.

Requirement for the Project : IRS imageries of study area.

8

Project Domain : Ground water Hydrology Project Title : Effectiveness of Kozeny-Carman equation to predict

Saturated Hydraulic Conductivity for clay affected soils Guide : Dr. B. Naga Malleswara Rao Qualification : Ph. D. Specialization : Water Resources Engineering Research Interest : Watershed Modeling, Ground water Modeling and GIS Project Description :

The overall objective of this research is to establish the link between the adsorbed water layer

in soils to the macroscopic parameters used in the prediction of effective porosity, and

saturated hydraulic conductivity. This will result in significant improvement in the prediction

of effective porosity and saturated hydraulic conductivity of clay affected soils. With an aim

to achieve the overall objective, the following specific objectives for the proposed research

are set,

1. Measure and evaluate soil physical parameters like specific gravity, porosity, and saturated

hydraulic conductivity as a function of electrochemical environment and soil physical

properties.

2. Measure and evaluate soil water retention and saturated hydraulic conductivity of soil

samples using falling head permeability test as a function of porosity and pore-water

chemistry.

3. Evaluate a functional relationship between soil physical properties, electrochemical

properties of pore water and effective porosity.

4. Develop frameworks to incorporate the effects of adsorbed water in the modified Kozeny-

Carman equation.

Future Expansion of the Project : To develop optimum irrigation scheduling system.

Requirement for the Project : Falling head permeability test apparatus with accessories, Permeability moulds, Hydrometer, Relative Humidity Sensors, Electric Conductivity (EC) meter and digital PH meter and Total Weather Station.

9

Project Domain : Seismic Resistant Designs Project Title : Effect of floating columns on Seismic performance of multi-storey buildings in different seismic zones Guide : Dr. A.Mallika Qualification : Ph.D. Specialization : Structural Engineering Research Interest : FEM, Seismic analysis, Structural optimization Project Description:

In the present scenario, multi-storey buildings in urban cities are required to have column free space due

to shortage of space and also for aesthetic and functional requirements. For this buildings are provided

with floating columns at one or more storey. Such features are highly undesirable in building built in

seismically active areas. The earthquake forces that are developed at different floor levels in a building

need to be carried down along the height to the ground by the shortest path. Deviation or discontinuity

in this load transfer path results in poor performance of the building.

This study highlights the importance of explicitly recognizing the presence of the floating column in the

analysis of building. In this study, the critical position of floating column in regular and vertically

irregular buildings will be discussed for G+5 and G+10 RC buildings for zone III, zone IV and zone V.

Also the effect of size of beams and columns carrying the load of floating column will be assessed. The

response of building such as storey drift, storey displacement and storey shear will be investigated and

discussed to evaluate the seismic performance.

Future Expansion of the Project: Study can be extended to buildings with different irregularities

and different soil types

Requirement for the Project : Structural analysis software, IS Codes

10

Project Domain : Seismic Resistant Designs Project Title : Comparative study on Seismic performance of buildings with flat slab and conventional slab systems Guide : Dr. A.Mallika Qualification : Ph.D. Specialization : Structural Engineering Research Interest : FEM, Seismic analysis, Structural optimization

Project Description :

The construction of reinforced concrete buildings with flat slab systems has become widely

used in the present building systems. Flat-slab building structures possesses major advantages

over traditional slab-beam-column structures because of the free design of space, shorter

construction time, architectural –functional and economical aspects. Because of the absence

of deep beams and shear walls, flat-slab structural system is significantly more flexible for

lateral loads then traditional RC frame system and that make the system more vulnerable

under seismic forces.

In the present study seismic analysis of flat slab system will be performed and the responses

are compared with that of the building with conventional slab flat slab system for various

zones. Modifications with additional construction elements to improve small bearing capacity

of the system and increase strength and stiffness, improving seismic behaviour of flat-slab

construction system will be suggested.

Future Expansion of the Project : comparison among various flat slabs

Requirement for the Project : Structural analysis software, IS Codes

11

Project Domain : Earthquake Engineering

Project Title : Response Spectrum Analysis of RC Step-back Buildings on Sloping

Ground

Guide : Dr. B.D.V. Chandra Mohan Rao

Qualification : Ph.D.

Specialization : Structural Engineering

Research Interest : Earthquake Engineering, Structural Dynamics, Finite Element

Analysis and Optimization of Structures


The structures are generally constructed on level ground; however due

to scarcity of level grounds the construction activities have been started on sloping grounds. In

this study, multistorey buildings resting on ground slope varying from 15° to 35° have been

considered for the analysis. The buildings are modeled in Staad Pro by varying the number of

storeys from 2 to 5. To have a better comparative study, regular buildings are also modelled.

Initially, free vibration analysis is carried out and the eigen values i.e.

natural time period / frequency and the eigen vectors i.e. mode shapes are obtained. The

fundamental time period and mass distribution factors are evaluated for all the buildings. Later,

response spectrum analysis is carried out as per IS 1893 (Part 1) : 2002 and the various response

parameters such as Beam-end forces, Reaction forces, Base shear, Base moment, Storey drift,

Storey displacement are evaluated. It is proposed to compare the results of regular and step-back

buildings resting on sloping ground and finally some conclusions are drawn.

Future Expansion of the Project : The project can be extended to various seismic zones.

Time-History analysis can be carried out to obtain the more realistic results.

Requirement for the Project : Knowledge of principles of earthquake resistant design, Use of

STAAD Pro / ETABS for seismic analysis of multi-storey buildings.

12

Project Domain : Earthquake Engineering

Project Title : Response Spectrum Analysis of RC Set-back Buildings on Plain

Ground

Guide : Dr. B.D.V. Chandra Mohan Rao



Research Interest : Earthquake Engineering, Structural Dynamics, Finite Element

Analysis and Optimization of Structures


In this project work the seismic behaviour of multi-storey RC Set-back

buildings is investigated and compared with that of the regular buildings resting on the ground.

In the 1st type of set-back buildings, a setback is created in the 1st bay and the numbers of bays

have been increased from 2 to 4 in x-direction. In the 2nd type of set-back buildings, a setback

has been created in 1st bay & 2nd bay and the buildings have been analyzed by varying the bays

from 2 to 4. Similarly 3rd, 4th and 5th type of set-back buildings are modelled and analyzed for

seismic performance. All the buildings are modelled in Staad Pro by varying the set-backs. To

have a better comparative study, regular buildings are also modelled.

Initially, free vibration analysis is carried out and the eigen values i.e.

natural time period / frequency and the eigen vectors i.e. mode shapes are obtained. The

fundamental time period and mass distribution factors are evaluated for all the buildings. Later,

response spectrum analysis is carried out as per IS 1893 (Part 1) : 2002 and the various response

parameters such as Beam-end forces, Reaction forces, Base shear, Base moment, Storey drift,

Storey displacement are evaluated. It is proposed to compare the results of regular and set-back

buildings resting on plain ground and finally some conclusions are drawn.

Future Expansion of the Project : The project can be extended to various seismic zones.

Time-History analysis can be carried out to obtain the more realistic results.

Requirement for the Project : Knowledge of principles of earthquake resistant design, Use of

STAAD Pro / ETABS for seismic analysis of multi-storey buildings.

13

Project Domain : Water Resources-Hydrology

Project Title 1 : Infiltration into a One Dimensional Soil Profile Using Hydrus 1-D

software

Guide : Dr Purnendu N. Singh

Qualification : PhD

Specialization : Water Resources

Research Interest : Irrigation management, Salinity management, Hydrogeology

Project Description : In this project, the direct problem of infiltration into a one-meter deep

loamy soil profile will be evaluated under various conditions. The one-dimensional control

volume can be discretized in different ways, and the results compared. Infiltration will be

allowed for various periods of time. Ponded infiltration will be initiated with a 1-cm constant

pressure head at the soil surface, while free drainage will be used at the bottom of the soil

profile. The project will be divided into three parts: (A) first, only water flow is considered,

after which (B) solute transport is added. Several other modifications may also be included

These may include (1) a longer simulation time, (2) considering solute retardation, (3) using

a two-layered soil profile, and (4) implementing alternative spatial discretization.

Future Expansion of the Project : The other group can start working with Hydrus 1-

D model for simulating other problems.

Requirement for the Project: Hydrus 1-d software

14

Project Domain : Irrigation Engineering

Project Title 2 : Design of a Barrage and Canal Head Regulator

Guide : Dr Purnendu N Singh

Qualification : PhD

Specialization : Water Resources

Research Interest : Irrigation management, Salinity management, Hydrogeology

Project Description : The proper design of a Barrage and Canal Head Regulator is one of

vital activities in the construction and management of irrigation projects that are based on

diverting water from river system. Improper design and operation of a barrage can lead to

catastrophic consequences. The purpose of this project is to design a barrage and related

structures to safely divert the water to the canal system without posing any danger to the

downstream ecosystem. A suitable operating procedure for the barrage will also be

formulated to avoid the occurrence of tragic incidents like that recently happened to the

students of the VNR-VJIET at Beas river in Himachal Pradesh.

Future Expansion of the Project : Other elements of an Irrigation system will be

designed

Requirement for the Project : NIL

15

Project Domain : Materials for sustainable development-Geopolymer concrete Project Title - 1 : Performance characteristics of Geopolymer Concrete subjected to elevated temperatures Guide :Dr.K.Ramujee Qualification : Ph.D Specialization : Structural Engineering Research Interest : Materials for sustainable development, Geopolymer concrete etc. Project Description: Geopolymers are used for several applications due to their sustainability. Past Research

reveals that Geopolymer concrete possess excellent mechanical properties, physical durability

characteristics like Permeability, abrasion resistance, creep, shrinkage and excellent chemical

reistance against acids and sulphates. It is also expected that Geopolymer concrete (GPC)

may possess superior fire resistance compared to conventional concretes with ordinary

portland cement (OPC). The proper understanding of the effects of elevated temperatures on

the properties of GPC is essential. In the present work, it is proposed to establish the

relationships for normal, standard and high-strength GPCs at elevated temperatures and also

proposed to establish efficient modeling and fire-performance criteria for concrete structures.

They are developed for unconfined GPC specimens that consist of compressive strength,

modulus of elasticity, flexural strength, thermal strain, and the compressive stress–strain

relationships at elevated temperatures. The proposed relationships at elevated temperature are

compared with experimental results and available OPC relationships.

Future Expansion of the Project:. The work can be extended for high temperatures Requirement for the Project : Fly-ash, Alkaline activators (NaOH, Na2SiO3), Hot air Oven .

16

Project Domain : Materials for sustainable development-Geopolymer concrete Project Title : Fracture behavior of fly ash based geopolymer concrete. Guide : Dr.K.Ramujee Qualification : Ph.D Specialization : Structural Engineering Research Interests : Materials for sustainable development, Geopolymer concrete etc.

Project Description : Use of fly ash based geopolymer as an alternative binder can help

reduce CO2 emission of concrete. The binder of geopolymer concrete (GPC) is different from

that of ordinary Portland cement (OPC) concrete. Thus, it is necessary to study the effects of

the geopolymer binder on the behavior of concrete. In this study, the effect of the geopolymer

binder on fracture characteristics of concrete has been investigated by three point bending test

of FMC type notched beam specimens. The fracture behavior in terms of the peak load and

post peak behavior from the load-deflection curves are to be determined. It is also proposed

to investigate the Fracture energy and critical stress intensity factor for Geopolymer and OPC

concretes. Available equations for fracture energy of OPC concrete have to be compared with

OPC concretes of similar compressive strength

Future Expansion of the Project: The Project can be extended by using fibers . Requirement for the Project : Fly ash, Alkaline activators.

17

Project Domain : Traffic Modeling & Safety

Project Title - :

Guide : Dr. A. Ramesh

Qualification : M.Tech., Ph. D.

Specialization : Transportation Engineering

Research Interest : Traffic Modeling & Safety


With the increase in number of personalized vehicles every day on urban roads, govt. shall

make necessary measures and implement polices across state with an aim to increase the use

of non- motorized transportation modes. This could have safety implications because the

interaction between motorists and non-motorists could increase and potentially increasing

pedestrian-vehicle crashes. Few models that predict the number of pedestrian crashes are not

sensitive to site-specific conditions or intersection designs that may influence pedestrian

crashes. Moreover, traditional statistical modeling techniques rely extensively on the sparsely

available pedestrian crash database. The study aims in explaining limitations of different

models that quantify potential interactions between pedestrians and vehicles at various

intersection designs using as surrogate safety measure the time to conflict. Variables as

volume, intersection geometry, and operational performance will be considered for evaluating

pedestrian-vehicle conflict and develop models that would cater for different intersection

designs. Regression models will be used to for evaluation of potential conflict at signalized,

un-signalized and roundabout intersections. Volume. The pedestrian-vehicle conflicting

volumes, number of lanes that pedestrians are exposed to vehicles, the percentage of turning

vehicles, and the intersection conflict location (major or minor approach) will be considered

for predicting and estimating pedestrian safety at signalized and un-signalized intersections.

These models can be used to compare alternative intersection designs and provide designers

and planners with a surrogate measure of pedestrian safety level for each intersection.

Future Expansion of the Project : Different types of intersections and with different

land-use pattern

Requirement for the Project : Signal Design, VISSIM & Regression techniques.

“ASSESSMENT OF PEDESTRIAN SAFETY AT URBAN INTERSECTIONS USING SIMULATION TECHNIQUE AND SURROGATE SAFETY MEASURES”

18

Project Domain : Pavement Material Characterization

Project Title - : Guide : Dr. A. Ramesh

Qualification : M.Tech., Ph. D.


Research Interest : Pavement Characterization.


The aim of HMA design is to find the optimum combination of aggregate, void spaces,

and asphalt binder to ensure that the pavement exhibits the desired performance and

durability properties. Aggregate grading is an essential property of bituminous mixtures,

as it can be related to many aspects of mixtures performance in the field, such as

durability and resistance to permanent deformation. Such complex circumstances make

pavement material performance assessment an aspect of great importance for any project.

Selection of proper pavement material of adequate structural performance may increase

the effective life of the structure, while requiring less maintenance and repair measures.

The Bailey Method provides a set of tools for the design and the evaluation of aggregate

packing and voids of asphalt concrete grading while maintaining appropriate mixture

workability and durability. The objectives of this study are using “Bailey Method” to

evaluate using of Marshall Stability, flow, and to predict rutting characteristics. To

investigate the Bailey ratios for all different blends for prediction of rutting. Different

aggregate gradations will be used in this study WMA & SMA and then for rutting

performance. The results shall explain on Bailey method usefulness in evaluating

aggregate blends. Controlling aggregate ratios gradations could control anticipated mix

properties and predict permanent performance of HMA.

Future Expansion of the Project : Different moisture and temperature conditions.

Requirement for the Project : Marshal & Rutting characteristics.

“RUTTING PERFORMANCE ON HMA LAYER FOR BAILEY GRADATION”

19

Project Domain : Surface Water Hydrology Project Title - 1 : Design of Water Harvesting for the VNR VJIET Campus using HEC models Guide : Dr. K. Ravikumar Qualification : Ph.D. Specialization : Water Resources Engineering Research Interests: Hydraulics & Watershed Modeling, Surface water and Groundwater Quality

Modeling using GIS, HEC, etc. Project Description:

Water is the basic need of every one (every living entity on this earth planet). Especially in

human society water had been the major role in fulfilling the basic needs in day to day activities. In past

centuries our ancestors had ample water for their needs but in the present society water has become

shortage in our entire country. More importantly, in urban cities, this shortage is remarkable due to

increased population density. It is the prime time to take steps in preserving the available water for

present uses and for the future generation yet to come. In this study, the quantum of the available

surface water will be estimated in the VNR VJIET campus for the rain water harvesting of the campus.

The main objective of this study is to recharge the groundwater of the campus which indirectly

improves the quality of the groundwater.

In this study, the available secondary rainfall data from the IMD ( for ~30 years) is taken as main

input to the HEC models along with the surface characteristics, weather information etc to develop a

hydrological model with the objective of estimation of quantum of effective runoff available at a point

of time to harvest it. Finally, feasible sink pits will be designed at appropriate locations in the campus

with the mapping lay out using GIS software.

Future Expansion of the Project: To develop the rain water harvesting for nearby village.

Requirement for the Project : Rainfall and weather data from IMD, campus lay out details etc.

20

Project Domain : Groundwater Quality modeling

Project Title : Groundwater Quality modeling of the Bachupally Village

Guide : Dr. K. Ravikumar


Specialization : Water Resources Engineering

Research Interest : Hydraulics & Watershed Modeling, Surface water and

Groundwater Quality Modeling using GIS, HEC, etc.

Project Description : Along with the Surface water, Groundwater is another major source

in the country used for various purposes such as municipal, irrigation, industries etc. In non-

monsoon seasons, groundwater is the only source if the surface water is in shortage.

Industrialization is increasing our economy of the country but it is also damaging the

environment in so many ways such as air, surface as well as groundwater, land, etc. The un

ending greed of the human being is manipulating the nature irrespective of what happens to

the environment. The Central and State Pollution Control Boards preparing the Acts (the

quality norms) to the effluents before releasing to the environment but the industries do not

follow any of them and release the highly concentrated polluted air and water to the

environment. The immediate effect is seen in the air but in relation to the groundwater the

negative effect is seen very slowly after a decade or so.

In this study, groundwater quality is assessed at the present time (for the 5 months period) by

collecting the bore water samples (once in fort night) from the residents of the Bachaupally

village, statistical analysis of ANOVA will be done to study the significance of the quality

parameters and finally mapping them using GIS. Additionally, it is important to find the

source of the contamination. Therefore, visiting some of the surrounding industries to collect

the wastewater effluents to analyze them for physical and chemical parameters.

This project will help the society to aware of the environmental damage being happening due

to the surrounding villages and take precautions to purify the groundwater.

Future Expansion of the Project : (i) The continuous collection of the data will help us

to see the drastic changes in the quality of the groundwater (ii) Similar work can be repeated

in other parts of the city to study the change in groundwater quality to assist HMWSSB.

Requirement for the Project : Bore water samples from residents of the Bachapally village

and effluent samples from the surrounding industries.

21

Project Domain : Special Concretes

Project Title : An Experimental Investigation on High Strength Self Compacted Self Curing Concrete Guide : Sri. B. Narendra Kumar

Qualification : M.Tech. (Ph.D)


Research Interest : High Performance Concrete Project Description : The term “Self-Compacting Concrete” (SCC) identifies a category of

cementitious mixtures that can be cast into a framework and fill every corner without the need of

any type of compacting or external vibration. The guiding principle behind the self-compacting

concrete is that settling velocity of a particle is inversely proportional to the viscosity of the

floating medium in which the particle exists. Such concrete was applied in practice for the first

time in the mid-80s during underwater concreting in Japan. Ten years later, the SCC technology

began to be used also for common concreting, especially for concreting of complex heavily

reinforced structures. Self-curing or internal curing is a technique that can be used to provide

additional moisture in concrete for more effective hydration of cement and reduced self-

desiccation.

In this present study, the effect of replacing the cement, fine aggregate and coarse aggregate by

constant replacement of silica fume, Quartz sand replacement of 0%, 10%, 20%, 30%, 40% ,50

% and light weight aggregate replacement of 10%, 15%, for internal curing respectively and their

combinations of various proportions on the properties of different mixes of M60 grade has been

compare with normal self compacting concrete by conventional curing method. In this study

fresh properties and hardened properties of the different mixes of concrete will be determined.

Future Expansion of the Project :

• To Study the Physical Durability of High Strength Self - Compacted Self Curing

Concrete

• To Study the Chemical Durability of High Strength Self - Compacted Self Curing

Concrete

Requirement for the Project: OPC53 grade Cement, Quartz sand, Coarse Aggregate, S.P,

Curing Agents, Cube, Cylinder, Beam Specimens& Compression Testing Machine . .

22

Project Domain : Special Concretes

Project Title : An Experimental Investigation on High Strength Pre Tensioned Slabs Incorporating Quartz Materials of Self Curing Self Compacting Concrete Guide : Sri. B. Narendra Kumar



Research Interest : High Performance Concrete

Project Description : Prestressed concrete is a method for overcoming concrete's natural weakness in tension. It can be used to produce beams, floors or bridges with a longer span than is practical with ordinary reinforced concrete. It is often used in commercial and residential construction as a foundation slab. Prestressing tendons (generally of high tensile strength steel cable or rods) are used to provide a clamping load which produces a compressive stress that balances the tensile stress that the concrete compression member would otherwise experience due to a bending load. Traditional reinforced concrete is based on the use of steel reinforcement bars, rebars, inside poured concrete. Prestressing can be accomplished in hree ways: pre-tensioned concrete, and bonded or un-bonded post-tensioned concrete.

. The present study investigates the flexural behavior of rectangular pre-tensioned slabs

using High Strength Hybrid Fiber Reinforced Self-Compacting Concrete incorporating quartz

materials. The pre-tensioned slabs of size approximately 1.2m* 1.2m* 0.06m .The HSPT Slabs are

develop with complete replacement of river sand with quartz sand as fine aggregate and the quartz

powder as a mineral admixture. The glass and steel fibers are use as hybrid fibers to arrest cracks

and increase tensile nature of concrete. The total quantity of fibers is 1.5 percentage of total

powder content in which glass and steel fiber consist in equal ratio. The slabs will be tested under

uniformly increasing static load applied at 1/3rd points. Central deflections, crack loads, shear

strengths , impact resistance, ultimate loads and failure patterns are the parameters are to be

studied.


To Study the Flexural behaviour of High Strength Post - Tensioned beams Incorporating Quartz

Materials of Self Curing Self Compacting Concrete

Requirement for the Project: OPC 53 grade cement: Quartz powder, Micro silica,

Quartz sand, Coarse aggregate, Superplasticizer: Poly Carboxylate Ether based , Steel fibers,

Length 30mm, dia 0.5mm. Aspect ratio = 60,. CEM –FIL ANTI CRACK GLASS FIBERS:

Length 6mm, diameter 14μm.

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23

Project Domain : Pavement materials.

Project Title : Resilient moduli based design charts to evaluate thickness of

reclaimed asphalt pavement as base course.

Guide : Deepti A.

Qualification : M.Tech


Research Interest : Pavement materials, Pavement geotechniques, Traffic engineering.

Project Description: Resilient Modulus (Mr) is one of the key parameters to assess the

pavement thickness and performance since its inception in American Association for

Transportation Officials (AASHTO) design guidelines for design of flexible pavements. The

precision in the Mr values is very important as a slight change in the value may result in

misinterpretation of layer thicknesses which in turn effects the overall performance and

economy. The experimental set up to determine Mr is sophisticated, expensive and the

procedure being tedious, many correlations have been developed to arrive at the Mr value

indirectly. These correlations hold good for conventional materials like soils and granular

materials. As the usage of recycled and sustainable materials like Reclaimed Asphalt

Pavements (RAP) is gaining prominence in pavement related applications, these correlations

have to be verified for these materials before incorporating the calculated values in the

design.

This project attempts to develop correlations to predict Mr from basic engineering properties

such as California Bearing Ratio (CBR) and unconfined compressive strength (UCS). The

obtained correlations were compared with the past data available on fly ash stabilized RAP

mixes. The study also proposes design charts to find the thickness of base layer using

secondary materials (whose Mr value ranges from 100 to 600 MPa) for different traffic and

subgrade conditions. Limiting fatigue and rutting strains were calculated as per IRC: 37-

2012. Fatigue and rutting strains corresponding to a pavement section would be computed

using IIT PAVE. Layer thickness were found out by trial and error method such that

computed strains should be less than the limiting strains.

Future Expansion of the Project : This project work gives idea about how walking

friendly the Vnr Vjiet campus is. It also gives idea about the improvements that can be made

to increase the walkability of the area. One can also calculate walkability index for a given

24

location in an urban area.

Requirement for the Project : CBR, Mr and UCS testing equipment

Project Domain : Pavement materials.

Project Title : Reclaimed asphalt pavements in flexible pavement applications Guide : Deepti A.



Research Interest : Pavement materials, Pavement geotechniques, Traffic engineering. Project Description:

Reclaimed asphalt pavement (RAP) is a degenerated bituminous pavement that has been

recovered, usually by milling top few centimeters of distressed flexible pavements. The use of

recycled materials like RAP is a key component of sustainable practices in the pavement industry. In

India, milling of distressed pavements or recycling of pavements is seldom practiced and are generally

land filled if it is executed at the least in some projects. This paper discusses the methods available for

milling and advantages of utilizing the reclaimed materials in Indian roads. The article also presents

the results obtained from a series of experiments conducted on RAP milled from an ongoing highway

project at Nellore in India. In this study, fly ash obtained from Neyveli Lignites Corporation has been

used as a stabilizer along with virgin aggregates (VA) to improve the performance of the RAP as a

base material. Compaction, Unconfined Compressive Strength (UCS), Resilient Modulus (Mr) and

California Bearing Ratio (CBR) tests were performed to determine the strength and stiffness of the

mixes. The work described herein mainly focuses on promoting the use of high proportions of RAP in

the base/subbase layers of flexible pavements. Design of flexible pavements using RAP was done as

per IRC: 37-2012 and presented as a part of present study. The study concluded that 20% replacement

of RAP with VA and 40% fly ash addition by weight of total mix was the optimum mix which

satisfies the minimum UCS and Mr specifications as per IRC. Future Expansion of the Project: after calculating the signal timings, it can be extended to

further by coordinating the two signals which further decreases delay, fuel consumption,

vehicle operating cost and environmental pollution.

Requirement for the Project : Video- Camera, Speed gun and Tape

25

Project Domain : Special Concretes Project Title : The Performance of Basalt Fibre in Concrete Guide : M. Jyothi Qualification : M.Tech Specialization : Structural Engineering Research Interest : Special Concretes Project Description :

Basalt is a natural material that is found in volcanic rocks. It is mainly used (as crushed rock) in

construction, industrial and high way engineering. One can also melt basalt (1300-1700°C) and spin it

into fine fibres. When used as (continuous) fibres, basalt can reinforce a new range of (plastic and

concrete matrix) composites. It can also be used in combination with other reinforcements (e.g.

basalt/carbon).

Some possible applications of basalt fibres and basalt-based composites are Thermal and sound

insulation/protection (e.g. basalt wool, engine insulation), pipes, bars, fittings, fabrics, structural

plastics, automotive parts, concrete reinforcement (constructions), insulating plastics and frictional

materials. This wide range of possible applications results from its wide range of good properties. Basalt

has good thermal, electrical and sound insulating properties. It can replace asbestos in almost all its

possible applications (insulation) since the former has three times the latter’s heat insulating properties.

Future Expansion of the Project: This will help in the use of Basalt Fibres in concrete.

Requirement for the Project : Concrete Technology Lab, Strength of Material Lab

26

Project Domain : Special Concretes Project Title : Basalt Fiber as a Strengthening Material for Concrete Structures Guide : M. Jyothi Qualification : M.Tech Specialization : Structural Engineering Research Interest : Special Concretes Project Description :

For the strengthening of deteriorated reinforced concrete structural members, fiber reinforced

polymer (FRP) strengthening system has emerged as an alternative to traditional techniques using a

steel plate. These FRP materials include carbon, glass and aramid FRPs and provide advantages over

the traditional repair materials in terms of better mechanical and chemical performance and easier

constructability. It is true; however, that despite of its high ultimate strength, structures strengthened

with FRPs can be failed in a brittle manner potentially below its mechanical capacity due to a bonding

problem at the strengthening material–concrete interface. On the other hand when exposed to a high-

temperature, most of FRP materials lose structural capacity rapidly.

Basalt fibers are from basalt rocks through melting process. The basalt rocks can be so finely

divided into small particles that it is possible to produce into a form of fibers. In addition, the basalt

fibers do not contain any other additives in a single producing process, which makes additional

advantage in cost. It is known that the basalt fibers have better tensile strength than the E-glass fibers,

greater failure strain than the carbon fibers as well as good resistance to chemical attack, impact load

and fire with less poisonous fumes. From these advantages, the applicability of the basalt fiber for a

structural strengthening material is highly expected.

Future Expansion of the Project: This will help in the use of Basalt Fibres in concrete.

Requirement for the Project : Concrete Technology Lab, Strength of Material Lab

27

Project Domain : GIS; DRASTIC Model Project Title - 1 : A GIS based DRASTIC Model for assessing Aquifer Vulnerability : A Case

Study Guide : Rama Tammu Qualification : MTech, (Ph.D) Specialization : GIS & Remote Sensing Research Interest : RS, GIS, Surveying Project Description:

Groundwater is the major source of water for agriculture, industrial and domestic use. Hazardous

and non-hazardous waste, abandoned water wells, oil and gas related wells, petroleum storage tanks,

mining and injection wells, agricultural pesticides and leakage tanks are all potential sources for

contamination of ground water. Vulnerability assessment to delineate areas that are more susceptible to

contamination from anthropogenic sources has become an important element for sensible resource

management and land use planning. This contribution aims at estimating aquifer vulnerability by

applying the DRASTIC model as well as utilizing sensitivity analyses to evaluate the relative

importance of the model parameters for aquifer vulnerability. The DRASTIC model uses seven

environmental parameters (Depth to water, net Recharge, Aquifer media, Soil media, Topography,

Impact of vadose zone, and hydraulic Conductivity) to characterize the hydrogeological setting and

evaluate aquifer vulnerability. These parameters are weighted and then summed to come up with a

DRASTIC index or vulnerability rating. The statistical analysis gives the vulnerability index varying

from high, moderate to low.

Future Expansion of the Project: To identify the recharge and vulnerable areas

Requirement for the Project : IRS imageries; Groundwater data

28

Project Domain : GIS

Project Title : A GIS Based Decision Support System For Rainwater Harvesting: A

Case Study

Guide : Rama Tammu

Qualification : MTech, (Ph.D)

Specialization : GIS & Remote Sensing Research Interest : RS, GIS, Surveying


Water is a primary necessity, for the people, agricultural production and for the

industries in everyday life. This source is depleting in a faster rate because of the growing

civilization and indiscriminate exploitation by industries and wastage by human population.

Hence the water is to be used in a perfect manner. The wastage of surface water happens due

to floods and excessive rainfall, which can be recycled and reused by the techniques of

Rainwater harvesting. It is an unconventional water source that can be adopted for the

temporal and spatial water scarcity for domestic, crop and livestock production and support

the overall water resources management. It is one of the best ways of reducing the

dependency of the people on secondary sources of water like lakes and rivers as there is

limited supply of water available to man.

The image processing software ERDAS IMAGINE and GIS software ARCGIS is used to

process the images and to establish a geo-information system comprising digital data sets of

satellite imagery, topography, soil, vegetation, hydrology, and meteorology. This information

is used to study the watershed network to identify areas generally suitable for water

harvesting in order to determine water harvesting techniques for the area of study.

Future Expansion of the Project : To identify rain harvesting sites and to assess the

actual usage.

Requirement for the Project : Imageries of the study area.

29

Project Domain : Shear Strength of soils. Project Title – 1 : variation of shear strength parameters of cohesion less soils under different strain rate conditions using direct shear apparatus Guide :K.Suresh Qualification : M.E. Specialization : Geotechnical Engineering Research Interest :Ground Improvement Techniques. Project Description:

In the field of construction of any structure, the shear strength and the bearing capacity parameters are

most important for the stability of structure. In this regard to find the shear strength of cohesion less

soils under different strain rate conditions are necessary. Direct shear test is the only laboratory test

which gives the shear strength parameters (C, Φ). Usually Direct Shear apparatus is used to measure the

shear strength parameters of soils under a strain rate condition of 1.25mm/min. But in this research it is

to be studied that under different strain rate conditions how the shear strength parameters of cohesion

less soils are getting effected.

Based on the angle of internal friction (Φ) bearing capacity factors are chosen from the

available chart and can be determined shear strength and bearing capacity of various cohesion less soils.

Future Expansion of the Project: To find the shear strength and bearing capacity of C-Φ soils under

different strain rate conditions using direct shear apparatus.

Requirement for the Project:Direct shear apparatus, Cohesion less soils.

30

Project Domain : To increase the shear strength of soils.

Project Title : Effect of Geo synthetics on shear strength of Cohesive soils.

Guide : K Suresh

Qualification : M.E.

Specialization : Geotechnical Engineering

Research Interest : Ground Improvement Techniques.


Now a days the population is increasing day by day. Hence the construction field is playing

main role. Expansive soils (cohesive) are not suitable for construction. Due to the present

situation we have to develop the shear strength of cohesive soils or where the construction is

not suitable. In this research it is to be studied that by using different types of Geo synthetics

how the shear strength of cohesive soils is getting effected.

To find the bearing capacity and shear strength of cohesive soils (Stiff clays),

Unconfined compressive test apparatus will be used in the laboratory. By using different

proportions of Geosynthetics in various types of cohesive soils, the required parameters will

be determined.

Future Expansion of the Project : effect of different additives on shear strength of

cohesive soils

Requirement for the Project : UCC apparatus, Cohesive soils, Geo synthetics.

31

Project Domain : Environment Management Project Title : Development of Natural Resource Action Plan Using Remote Sensing and GIS-A case study Bachupalli Area Guide : Mr.PVS Gopi Raghunadh Qualification : M.Tech Specialization : Environmental Geomatics Research Interest : Environment,Design,Energy resources, Remote Sensing and GIS Project Description :

The development of natural resources on a sustained basis without deterioration with constant

increase in productivity is the mainstay of mankind. The natural resources are considered as more

efficient and appropriate for necessary survey and investigation for the assessment of the natural

resources and subsequent planning and implementation of various developmental programs. The

Remote Sensing and GIS tools could be helpful in getting the precise and valuable spatial

information in understanding the present scenario contemplating with the past data and predicting

the future trends. The main objective of the study is to create the spatial information for natural

resources in study and to develop methods for its efficient utilization and sustainable management

utilizing remote sensing and GIS techniques.

Future Expansion of the Project: This will help in design of sustainable development stratergies.

Requirement for the Project: Data from different sectors, SOI maps, Remote sensing Images,

GIS Software etc.

32

Project Domain : Sustainable Development (Environment Management)(cross domain) Project Title : Autonomous Building-A case study D-Block VNRVJIET Guide : Mr.PVS Gopi Raghunadh Qualification : M.Tech Specialization : Environmental Geomatics Research Interest: Environment, Design,Energy resources, Remote Sensing and GIS Project Description:

“Autonomous Building” is defined as a house that can function independently of support and

services from public facilities. The key characteristic of an autonomous building is the use of green

energy technology to reduce environmental load, while also creating a sustainable, high-quality,

comfortable living environment.

An autonomous Building applies alternative energy and other relevant technologies in line with the

principle of autonomy and thereby reduces dependence on fossil fuels and lessens carbon dioxide

emissions in order to ameliorate global warming.

Future Expansion of the Project: This will help in design of sustainable development stratergies.

Requirement for the Project: hybrid wind and solar energy system, Digestion tanks,gas holding

ballons.

33

Project Domain : Remote Sensing and GIS Project Title - 1 : Identification of Ground water potential zones using RS and GIS Guide : T.SrinivasaRao Qualification : M.Tech Specialization : Remote Sensing Research Interest : Applications of RS and GIS Project Description:

Ground water is very important in the areas where there is no surface water sources and

adequate rainfall. But it is difficult to identify where groundwater is available. This project tries to

identify the potential zones where ground water is available or might available with the help of RS and

GIS. Ground water potential zones are identified with indirect analysis carried out by remote sensing

and GIS. Thematic maps have to be prepared and analyzed for getting information about the ground

water prospect zones. Thematic maps of requirement are lineage map, lineage density map, LULC map,

drainage density map, slope map.

These maps are analyzed using MCME methodology for obtaining groundwater prospect zones.

Future Expansion of the Project: To develop groundwater maps and cropping maps in those areas.

Requirement for the Project : Landsat imagery and SOI toposheet.

34

Project Domain : GIS Lab

Project Title : Mapping of Evapotranspiration Areas using GIS

Guide : Dr.B. Naga Malleswara Rao

Qualification : Ph.D


Research Interest : Watershed Modeling and GIS


Identification of accident hotspots are important as such unidentified zones might lead

to severe accidents and human and property loss. GIS is an effective tool for identifiying

accident hot spots. There are different methods and tools that can implemented and used in

GIS for obtaining accident hot spots in an area. Further it is also possible to correlate accident

hotspots with other data and parameters.

In this study accident hot spots will be identified with GIS using kernel density method and

clustering techniques.

The obtained hot spots will be compared with 2 methodologies.

Future Expansion of the Project : Promixity analysis for hospitals and health centres

using GIS in areas of hotspots.

Requirement for the Project : accident data and health centers data.

35

Project Domain : Concrete Project Title - 1 : PERFORMANCE ASSESSMENT OF RC BEAMS WITH CFRP AND

GFRP SHEETS Guide : G AVS Sandeep Kumar Qualification : M.Tech. Specialization : Structural Engineering Research Interest : Seismic Resistant Structures Design, Concrete. Project Description:

Concrete is one of our most common building materials and is used both for buildings, bridges and other heavy structures. Strengthening structures via external bonding of advanced fiber reinforced polymer (FRP) composite is becoming very popular worldwide during the past decade because it provides a more economical and technically superior alternative to the traditional techniques in many situations as it offers high strength, low weight, corrosion resistance, high fatigue resistance, easy and rapid installation and minimal change in structural geometry. It is important to understand the behaviour of a strengthened structure well and realize what parameters affect the failure mode and load-bearing capacity. The aim of this study is to investigate and improve the understanding of the behaviour of reinforced concrete beams strengthened with fiber composite. In the present study a numerical investigation is carrying to study the behaviour of RC beams under static two-point loading. Concrete beam specimens with dimensions of 130 mm width, 200 mm height, and 2500 mm length were modelled.The beams are strengthened with externally bonded glass fiber reinforced polymer (GFRP) sheets and carbon fiber reinforced polymer (CFRP) sheets. The present study examines the responses of RC beams with GFRP and CFRP sheets by increasing number of layers using ABAQUS, in terms of failure modes, enhancement of load capacity, load-deflection analysis and flexural behaviour. Key words: Flexural strengthing, CFRP, GFRP, load-deflection analysis.

Future Expansion of the Project: This Can be studied for thermal Stresses

Requirement for the Project : Cement, Silica Fume, Fine Aggregate, Coarse Aggregate

36

Project Domain : STAAD.Pro

Project Title : Analysis & Design of Multi Storey Residential Building

Guide : G AVS Sandeep Kumar



Research Interest : Seismic Resistant Structures Design, Special Concretes


In these modern days the Buildings are made to fulfill our basic aspects and better

Serviceability. It is not an issue to construct a Building any how its, important to construct an

efficient building which will serve for many years without showing any failure. The Project

titled “3-D ANALYSIS OF BUILDING FRAME USING STAAD-PRO”, aims in finding

Better technique for creating Geometry, Defining the cross sections for column and beam etc,

Creating specification and supports (to define a support weather it is fixed or pinned),then the

Loads are defined. After that the model is analyzed by ‘run analysis’. Then reviewing

(whether beam column passed in loads or failed) results. Then the design is performed.

Future Expansion of the Project : This Can be studied for thermal Stresses

Requirement for the Project : STAAD.Pro Software

37

Project Domain : Traffic Engineering.

Project Title : Walkability index of Vnr Vjiet College campus.

Guide : T. Naga Teja



Research Interest : Traffic engineering, transportation modeling

Project Description:

A continued shift in land use and transportation planning priorities has been

seen in recent years especially towards issues of neighbourhood walkability. Walkability is

increasingly valued for a variety of reasons. Not only does pedestrian transportation reduce

congestion and have low environmental impact, it has social and recreational value. Recent

research suggests that walking also promotes mental and physical health. The quality of the

pedestrian environment is a key for encouraging people to choose walking over driving.

Walkability can be measured in different ways or using different methods. Of those,

three methods are mainly popular. These are Ministry of Urban Road Development (MOUD)

method, Global Walkability Index (GWI) developed by the World Bank and walkscore.com.

To calculate walkability index by MOUD method availability of footpath in an area and

pedestrian perception regarding pedestrian facilities availability in that area need to be

examined. Similarly, in GWI method a public agency survey and a pedestrian perception

survey are to be carried out. Walkscore.com directly gives the walkability index of an

apartment/area/city by just typing the required area place in that website. It calculates the

walkability index based on the google search algorithm to find resources within a 1-mile

radius of a user-entered address.

Future Expansion of the Project : This project work gives idea about how walking

friendly the Vnr Vjiet campus is. It also gives idea about the improvements that can be made

to increase the walkability of the area. One can also calculate walkability index for a given

location in an urban area.

Requirement for the Project : Tape

38


Project Title : Traffic Signal Design and Co-ordination.

Guide : T. Naga Teja



Research Interest : Traffic engineering, transportation modeling


Due to rapid growth of urbanization the traffic on the roads has been increased

enormously. Traffic on roads may consist of pedestrians, vehicles and other conveyances, either singly

or together, while using the public way for purposes of travel. Traffic laws are the laws which govern

traffic and regulate vehicles, while rules of the road are both the laws and the informal rules that may

have developed over time to facilitate the orderly and timely flow of traffic. Organization typically

produces a better combination of travel safety and efficiency. Events which disrupt the flow and may

cause traffic to degenerate into a disorganized mess include: road construction, collisions and debris in

the roadway. On particularly busy freeways, a minor disruption may persist in a phenomenon known as

traffic waves. A complete breakdown of organization may result in traffic congestion and gridlock.

Future Expansion of the Project: after calculating the signal timings, it can be extended to further by

coordinating the two signals which further decreases delay, fuel consumption, vehicle operating cost

and environmental pollution.

Requirement for the Project : Video- Camera, Speed gun and Tape

39


Project Title : Study and analysis of public and private Transport accessibility.

Guide : K.Vamshi krishna



Research Interest : Performance characteristics of pavements

Rural public transportation is insufficient, accessibility is very much

required in countries like India for the movement of passenger and goods .to nearby towns

with in aspects of public participation, for overall development. Rural areas are suffering

from transport problems such as inadequate transport facilities in terms of shortage of buses

and non- availability of services. Other problems in rural transport include pollution,

accidents, parking shortage etc. Proper planning for rural transportation requires addressing

the above issues.

Present study focused to increase the public transport accessibility in

safe and efficient way and also meeting future demand up to 2018 for thirteen villages. This

study helps in financial growth to the public transport by diverting the private transport to

public transport.

Future Expansion of the Project : This project work gives idea to quantify the travel

characteristics of people and identifying the choice of mode of commuters for various origin

to destination points. Growth factor model, Gravity model, Intervening opportunities model,

All or nothing assignment model can be used based upon the parameters we need to analyze

Requirement for the Project: Data sheets for house hold information and on board surveys.

40

Project Domain : Flexible pavements Project Title - 1 : Rutting Characteristics of bituminous mixes modified with poly vinyl chloride. Guide : K.Vamshi krishna Qualification : M.Tech Specialization : Transportation Engineering Research Interest : performance characteristics of pavements Project Description:

Pavements laid with polymer modified bitumen exhibits greater resistance to rutting,

thermal cracking and fatigue damages and hence these were used at locations of higher stress. Polymers

that are commonly used as bitumen modifiers are Polyethylene Glycol (PEG), Styrene- Butadiene-

Styrene (SBS), Styrene-Butadiene-Rubber (SBR), Poly-ethylene, Poly-propylene, Poly Vinyl Chloride

(PVC) etc.

The present work concentrates on aggregate characteristics which include the shape indices. The

following particle shapes namely Blade, Cubical, Disk and Rod are being used in the study.

The study shows the behavior of all the four shapes of aggregate in terms of Penetration,

Ductility, Softening Point and Marshall Stability, Rutting tests with varying percentages of bitumen and

also with varying the percentages of PVC. The results of unmodified bitumen mix are compared with

the modified mix against some critical Marshall mix and rutting parameters.

Future Expansion of the Project: To improve pavement performance characteristics by adding fibers.

Requirement for the Project : Poly vinyl chloride

41

Project Domain : Geotechnical Lab

Project Title - 1 : Drying and Wetting of Soils

Guide : E.Jeevana Smitha


Specialization : Gotechnical Engineering

Research Interest : Shear Strength of soils.


Shear strength of the soil is a very important property in geotechnical engineering

in order to assess the strength of the soil. In classical soil mechanics, the soil is generally

assumed to be fully saturated and completely dry conditions. However 40% of the natural

soils on the earth surfaces are in unsaturated/partially saturated state. Moreover, the

unsaturated soils are often encountered in civil engineering practice, such as compaction

works in the construction of roads, dams and other type of embankments. The retaining

structures designed in the assumption of completely dry soil condition may encounter a

reduction in factor of safety upon wetting after the end of construction. In the present

study, efforts have been made to study the compressive strength of the different soils

during the process of drying. Such a study would be useful to estimate the loss/gain in the

strength during the process of drying.

Future Expansion of the Project: To know the strength of soils at different places.

Requirement for the Project : Atterberg limits, Standard Proctor test, UCC.

42

Project Domain : Geotechnical Lab

Project Title : Effect of Grain size Distribution on soils using Geosynthetics.

Guide : E.Jeevana Smitha


Specialization : Geotechnical Engineering

Research Interests : Geosynthetics.


Soil abundantly available in nature is used in many engineering activities like

construction of embankments, as base-course in pavements, filling low lying areas. One of

the most important applications is as a backfill material. Due to some constructional

embankment as the soil is weak to resist tensile forces, reinforcement is provided to

overcome the failure. One such reinforcement, termed geo-synthetic material, is widely

adopted, now-a-days for increasing the stability of RE walls. In RE walls the selected

materials is sandwiched between two layers to enhance tensile strength of soil and hold the

fascia panels in panels in position. In such conditions interface friction gets generated

between geosynthetics and soil. The interface depends on the internal friction that is

developed between soil and geo-synthetic material, which is used as reinforcement in the

backfill for the reinforced Earth wall. The aim of the study is to correlate the basic properties

using different soils for different grain sizes by geo-synthetic material using CBR tests.

Future Expansion of the Project: The Project can be used for different grain sizes for different soils .

Requirement for the Project : Geosynthetics, CBR, Atterberg limits.

43

Project Domain : GTE Project Title - 1 : Drying strength tests on soils Guide : P.Arti Sudam Qualification : M. Tech. Specialization : Geotechnical Engineering Research Interest : Soil liquefaction Project Description:

Recent studies suggest that the tendency of many fault gouge minerals to take on adsorbed or

interlayer water may strongly influence their frictional strength. To test this hypothesis, triaxial sliding

experiments were conducted on 15 different single-mineral gouges with various water-adsorbing

affinities. Vacuum dried samples were sheared at 100 MPa, then saturated with water and sheared

farther to compare dry and wet strengths. The coefficients of friction, μ, for the dry sheet-structure

minerals (0.2–0.8), were related to mineral bond strength, and dropped 20–60% with the addition of

water. For non-adsorbing minerals (μ = 0.6–0.8), the strength remained unchanged after saturation.

These results confirm that the ability of minerals to adsorb various amounts of water is related to their

relative frictional strengths, and may explain the anomalously low strength of certain natural fault

gouges.

Future Expansion of the Project: To develop bond strength o variation of water %

Requirement for the Project : Triaxial shear strength, Direct shear strength etc

44

Project Domain : GTE Project Title - 1 : Hydraulic characteristics of soil. Guide : P.Arti Sudam Qualification : M. Tech. Specialization : Geotechnical Engineering Research Interest : Soil liquefaction

Project Description : The permeability of a soil is a very important engineering property

because it has a dominating influence on the total engineering behavior of soils. The

difference in shear and compressibility behavior of soil can, to a considerable extent, be

explained in terms of the difference inflowing flow of water through the soils such as seepage

under dams, dewatering and drainage of sub grades, embankments, excavations etc. The

permeability of soil governs the selection of soil to be used for cores in earth dams and drains

in clay. So it becomes necessary to study on the hydraulic characteristics of soil.

Future Expansion of the Project : To compare the coefficient of permeability values of

various soils like sand, silt, clay, silty sand etc.

Requirement for the Project : constant head permeability test, falling head or

variable head permeability test, capillary permeability test etc.

45

Project Domain : Repair & Rehabilitation of structures Project Title - 1 : Strengthening of RCC beams Glass Fiber Reinforced Polymer Wraps Guide : Durga Prasad. R Qualification : M. Tech Specialization : Offshore Structures Research Interest : Materials in marine environment Project Description:

The utilization of reinforced Cement concrete structures has proved its suitability beyond doubt,

with regard to its performance under strength and durability criterion. These RCC structures with proper

ductile detailing can accommodate earthquake disturbances from the foundation. Most often these

structures are fairly strong for normal gravity loads. But in case of earthquake base-shear is induced in

the structure which causes in-plane bending and out-of-plane bending, resulting in the failure of

structure. Since the structure undergoes distress during the above said loadings fully, there is a need to

find out alternative strengthening methods to withstand extreme loads like earthquake load, impact load,

blast loading etc.

In the following work an attempt was made to experimentally study the performance of

structural elements which will be reinforced with Glass Fiber Reinforced Polymer (GFRP) wraps. Based

on the results obtained from the literature survey, the research team would decide to extend the study by

testing appropriate beam and column specimens (with and without GFRP wraps) in the laboratory.

Future Expansion of the Project: Propose Methods to improve the ductility of RCC structures.

Requirement for the Project : Material required for fabrication and available test facilities at

SM Lab at VNR-VJIET.

46

Project Domain : Concrete Technology

Project Title : Studies on Mechanical and Durability Characteristics of UHPC

Guide : Durga Prasad. R Qualification : M. Tech Specialization : Offshore Structures Research Interest : Materials in marine environment


UHPC is defined as a sealed and diffusion resistant fine or coarse-grained concrete

with a compressive strength between 150 and 250 N/mm2. Hence, it is nearly as pressure

resistant as steel. It is highly durable & sustainable, and, at the same time, it helps in reducing

the dimensions of the structural elements in comparison to those built using conventional

concrete, in a low-cost way with increased aesthetics.

The basic composition of UHPC consists of high Strength Cement, Inert or reactive additives

(generally admixtures like silica fume, Meta-kaolin, GGBS and fly ash etc.), Natural sand

with high density and favorable grain shape, size and desirable grading, steel fibers and

chemical admixtures like super plasticizers. The basic requirements of an UHPC are Low

water-to-cement ratio, High volume of cement content, Large quantity of silica fume (and/or

other fine mineral powders), Small Sized aggregates and fine sand, High dosage of super

plasticizers, Heat treatment and application of pressure. With all these issues the research

team would make an attempt to study the mechanical and durability characteristics of UHPC

at VNR-VJIET.

Future Expansion of the Project: Study the characteristics of UHPC with different

composition.

Requirement for the Project : Material required for fabrication and available test

facilities at SM Lab at VNR-VJIET.

47

Project Domain : Water Resources

Project Title : Estimating the depletion rate in Ground water table using Arc

GIS.

Guide : K Veerendra Gopi



Research Interest : Performance of Aquifers and ground water contamination

Ground water depletion has greater threat in many of the arid and semi-arid areas of the

world. In urban areas ground water is the key source. Ground water is the major source of

supply for household usage and drinking. Fast growing urbanization has a direct impact on

depletion of groundwater levels. Excessive pumping and over exploitation has caused greater

reduction in water level.

Present study focused onestimating at what rate groundwater level is being depleting. By

utilizing the previous data on groundwater levels, using Arc GIS the depletion rate is

estimated. The annual depletion rate can be identified and proposals/precautionary measures

are provided to reduce the depletion rate.

Future Expansion of the Project: This project work gives idea to quantify the depletion

rate and provide suggestions for reducing the rate of depletion. The depletion rate can be

done/seen in 3D view in Arc-GIS.

Requirement for the Project: Historicaldata on ground water level of the area and Digital

Elevation Model of the area.

48

Project Domain : Hydrology

Project Title : Development of IDF curves using Disaggregated rainfall data.

Guide : K Veerendra Gopi



Research Interest : Performance of Aquifers and ground water contamination

Rainfall data are often collected at coarser spatial scales than required for input into

hydrology and agricultural models. For the design of any hydrological models, rainfall data

is the main input. Floods occur mostly due to occurrence of extreme rainfall over the area

in a short duration. But in general rainfall recordings are done mostly for day or least 1hr

duration interval. If the rainfall recordings are available in shorter intervals, design of

hydraulic structure can be done in more appropriate manner.

Present study focuses on the disaggregation of 1hr duration rainfall to sub hourly rainfall

data using Artificial Neural Network. The disaggregated values are used to develop

Intensity Duration Frequency curves.

Future Expansion of the Project: With the help of developed IDF curves, hydraulic

structures can be developed with most accurate data of rainfall intensities.

Requirement for the Project: 1 hr interval historical rainfall recording of the Hyderabad

city.

49

Project Domain :Environmental Engineering Project Title - 1 : Solid waste management Guide : Chandana N Qualification : Mtech Specialization : Environmental Engineering Research Interest : Solid waste management Project Description:

SWM is a worldwide phenomenon. It is the process by which waste materials are removed by the

surrounding environment. which oversees the control, collection, storage, and disposal of solid waste.

The process also includes the separation of waste materials, plus the processing, treatment, and recovery

of some of this waste. It is one of the vital services conducted by local governments. Improper

management of SW causes hazards to inhabitants. It is a big challenge all over the world for human

beings. The problem of SWM is also effecting in the urban environment of Hyderbad. The study

critically reviews the present practices of estimating and forecasting of MSW and highlights the

limitations of existing practices adopted in municipality. A detailed investigation was made to analyze

the sources, quantity generated, collection, transportation, storage, treatment and disposal of solid waste

in municipal area. The data concerning to SWM was obtained through field visits, questionnaire, and

interacting with people. This study reveals that the present system of SWM in municipal area and

limitations of the existing SWM practices.

Key word: Field Visit, MSWM, SWM and Urban Environment.

.

Future Expansion of the Project: To develop integrated decision support system.

Requirement for the Project : Data from solid waste management of Hyderabad

50

Project Domain : Environmental engineering

Project Title : Indoor Air pollution

Guide : Chandana N

Qualification : Mtech

Specialization : Environmental engineering

Research Interest : Air pollution


Indoor air pollution had turned into a major problem in both urban and rural areas,

indoor air quality should be considered more important than outdoor air quality as 80% of

time is spent in indoor. The objectives of this study are

1) To compare the indoor and outdoor pollution level simultaneously

2) To check the residential, office and commercial IAQ parameters

3) comparisons of two seasons IAQ levels.

4) comparisons of night time and daytime samples The parameters are

PM1,PM2.5,PM10,Temperature , Humidity, CO2,SO2,NO2 , Heavy metals, PAH

Future Expansion of the Project : To check with different place and comparision

Requirement for the Project : RDS and environmental lab

51

Project Domain : Transportation Engineering Project Title - 1 : Traffic capacity studies at roundabouts Guide : Shweta Rao Qualification : Mtech Specialization : Transportation Engineering Research Interest : Traffic engineering Project Description:

With hike in road traffic due to globalization, it has become a necessity to develop a transportation

network which could handle the present as well as the future traffic efficiently. To do so, proper

designing and analysis of various infrastructures is to be done. One such infrastructure induced in road

network to increase the efficiency of intersections by reducing the delay is roundabouts. Presently, as

such no robust model is available for Indian traffic conditions to determine the performance of

roundabouts. So, an attempt has been made to develop a model to determine performance of

roundabouts based on capacity. From the existing global models, it was observed that the geometrics of

the roundabout played a crucial role in addressing the roundabout capacity. Thus, with this aspect as

foundation, a model for entry capacity was developed for heterogeneity in Indian traffic. For modelling,

data from various roundabout with varying geometry and flow properties were selected for including

affect due to variations.

Key word: roundabout, capacity, traffic.

Future Expansion of the Project: To develop models for signalized intersections

Requirement for the Project : Data from roundabouts of Hyderabad

52

Project Domain : Transportation engineering

Project Title : Capacity Estimation of 4-lane divided Inter Urban Hill Road Using

Videography Technique.

Guide : Shweta Rao

Qualification : Mtech

Specialization : Transportation engineering

Research Interest : Traffic engineering

Project Description : Traffic conditions on Indian highways are highly heterogeneous in

nature due to variety of vehicles with different static and dynamic characteristics. Very few

attempts have been made in India to find out the capacity of multilane highways under mixed

traffic conditions. Most of the study on capacity analysis is from US and other developed

nations where homogeneity of traffic prevails. In hill roads there are many factors which need

to be studied for accurate capacity estimation. Various geometric factors like Horizontal

curvature (curve radius), Vertical Curvature, gradient etc. are the parameters that affect the

capacity values. Also capacity estimation and capacity loss due to adverse weather conditions

like rainfall, hailstorm is of great importance as most of the research is being done

considering normal weather condition. The aim of present study is to estimate the Capacity of

4-lane Hill road for places near to Hyderabad.

Future Expansion of the Project : for various places in the state

Requirement for the Project : Transportation Engineering Lab

53

Project Domain : Traffic Engineering Project Title - 1 : Modelling of Non-motorized vehicles activity in heterogeneous traffic conditions Guide : Chellapilla Haritha Qualification : M.Tech Specialization : Transportation Engineering Research Interest : Traffic Engineering Project Description:

The conspicuous increase in motorized vehicles in urban India has leaded to traffic congestions,

accident rates, air pollution levels, shortage in petroleum fuel and several other issues. To overcome these

concerns one possible alternative is mass use of green modes of transportation like bicycle and pedestrian.

According to recent studies, around 70 percentage of the whole trips in urban India are below six

kilometers in length. These short trips can be converted to bicycle trips if and only if, suitable facilities are

made available. But due to unavailability of proper facilities bicyclists and pedestrians are lucidly deprived to

avail a smooth riding. Hence rate of bicycle use and walking is declining day-by-day. The existing

transportation facilities should be evaluated in a systemic manner and the extent of needs for further

developments to meet the requirements of bicyclists should be determined. The real time field conditions can be

analyzed using a microscopic traffic simulation tool VISSIM.

Future Expansion of the Project: To develop integrated model that can evaluate bicycle LOS and pedestrian

LOS in heterogeneous traffic conditions

Requirement for the Project : Extensive data, VISSIM software

54

Project Domain : Pavement materials and construction Project Title - 1 : Alternate binders for the production of paver blocks Guide : B.A.V. Ram Kumar Qualification : M.Tech Specialization : Transportation Engineering Research Interest : Pavement materials and construction Project Description: Concrete block Pavement has been extensively used in a number of countries for quite some time but in

India Concrete block pavement (CBP) technology has been introduced in construction a decade ago, for

specific requirements viz. footpaths, parking areas etc. but now being adopted extensively in different uses

where the conventional construction of pavement using hot bituminous mix or cement concrete technology

is not feasible or desirable. The use of alternate binders in concrete paver blocks is aimed at reducing cement

content and heat of hydration leading to better economy and durability. Using alternate binders (fly ash,

GGBS etc.) will help in safeguarding the environment from ill effects of CO2 emissions from cement

industry and contribute towards the solution for safe disposal. In this experimental investigation compressive

strength, flexural strength and water absorption of paver block will be evaluated by replacing portion of

cement with the fly ash and GGBS in concrete. Fibers will be also incorporated along with the fly ash and

GGBS to further enhance the mechanical properties. Different proportions of fiber by weight of cement in

the paver block will be added. The optimum fiber content from test results will be found. Cost analysis of

paver block will be done and will be compared with conventional paver block. Casting of paver blocks and

testing are done in accordance with IS.15658:2006 Precast concrete blocks for paving-Specification.

Future Expansion of the Project: This work may be extended on higher grades of concrete thereby

changing the application of paver blocks in accordance with IS.15658:2006 and evaluate their strength

parameters.

Requirement for the Project : Fly ash, GGBS

55

Project Domain : Pavement materials and construction Project Title - 1 : Influence of quartzite rock dust and glass fibers on rigid pavements. Guide : B.A.V. Ram Kumar Qualification : M.Tech Specialization : Transportation Engineering Research Interest : Pavement materials and construction Project Description :

Currently India has taken a major initiative on developing the infrastructures such as

express highways, power projects, ports and harbors to meet the requirements of

globalization, in the construction of pavements and other structures. Concrete plays the key

role and a large quantum of concrete is being utilized in every construction practices. River

sand, which is one of the constituents used in the production of conventional concrete, has

become very expensive and also becoming scarce due to depletion of river bed. In view of

this, there is a need to identify suitable alternative material from waste in place of river sand.

Quartzite dust is a waste obtained during quarrying process. It has very recently gained good

attention to be used as an effective filler material instead of fine aggregate.

Sand will be replaced by Quartzite rock dust from locally available sources. Glass

fibers will also be included for further enhancing flexural strength of concrete. An attempt

will be made to reduce the design thickness of pavement from the obtained values of flexural

strength of concrete and by using design parameters required to pavement. Cost analysis also

will be done for the pavement by comparing materials used in conventional and quartzite rock

dust concrete with fibers for design slab thickness. The design procedure in IRC:58-2002 will

be used for calculating the thickness of rigid pavements.

Requirement for the Project : Quartzite rock dust, Glass Fibers

56

Project Domain : Environmental Engineering Project Title - 1 : Mapping Of Socio Economic Drought Vulnerable Areas Using Various Indices For Maharashtra Guide : Y Swati Lakshmi Qualification : M.Tech Specialization : Water Resources Engineering Research Interest : Environmental Engineering


Drought in any area as defined by IMD is when the rainfall deficiency in the area is greater than or

equal to 26% of its long term normal. Although there is no specific definition to drought it is basically

an extended period of months or years, in which precipitation is less than the annual average resulting

into extreme surface and sub-surface water shortages , crop failure, physical and mental agony,

unemployment, debt, migration etc. Maharashtra has been facing some serious recurring drought since

years for now. The cases of farmer suicides have only aggravated with the time. Socio economic

drought associates the supply and demand of certain economic good with elements of meteorological,

hydrological and agricultural drought. To understand the vulnerability of drought on the social and

economic part various indices were incorporated on the district level to generate a map that highlights

the areas.

In this study the indices such as Human development Index which consist of components like, Life

expectancy Index, Education Index and Income Index is to be calculated further the Infrastructure Index

and the Crop Sensitivity Index are to be calculated. Collectively putting all the indices together maps are

to be generated through Arc GIS. This will give an overall estimation of the vulnerable areas on district

level.

Future Expansion of the Project: To develop a prototype for drought risk and vulnerability

assessment.

Requirement for the Project : Census Data and Crop Statistics data.

57

S.No. Project Domain

Title of the Project Faculty Name Page No.

1.

Power Electronics

Modeling and Design of DC Homes

Dr.K.Anuradha

2. Implementation of Single Phase Cascaded H-Bridge

Multilevel Converter for high power applications and THD minimization using Genetic Algorithm approach

3. Power Electronics & High Voltage Engineering

Solid State Pulsed Power Generation 4. Modelling and Simulation of Grid Integrated

Renewable Energy Sources for Electrical Power Generation

5.

Power Systems

Smart Energy Meter

Dr.Poonam Upadhyay

6. Wireless Smart Energy Meter 7. Optimal Placement of Facts Devices Using Particle

Swarm Optimization Technique For Power Systems

8. Optimal Load Dispatch Using Hybrid Pso Technique For Power Systems

9.

Electrical Machines

Power transformer condition monitoring and performance calculation method based on information fusion

V.Ramesh Babu

10. Design and Fabrication of Microprocessor based transistorized based Chopper controlled DC motor

11. Minimize torque ripples in DTC induction motor Drive

12. Prototype of an axial flux permanent magnet generator for Wind Energy Systems Applications

13. Power System Operation and Control (Power Systems)

Particle Swarm Optimization Based optimal tuning of ALFC and AVR of an Isolated Power System

Dr.Y.Venu

14. D.C.Drives ABC based Optimal Tuning of PID Controller for Speed Control of D.C.Motor

15. Power Systems

Optimal placement of series FACTS Controller in Power Systems for Stability Improvement

16. Design of Electrical Machines

Implementation and Control of self excited 1-ph Induction Generator

17. Control of Electric Drives

Speed Control of PMSM with MTPA

N.Krishna Kumari

18. Power Electronics

Qualitative Analysis of Diode Clamped Multi Level Inverter Induction Motor with Phase Shifted SPWM

19. Control of Electric Drives

Modified Direct Torque Control for Permanent Magnet Synchronous Motor Drive Based on Fuzzy Logic Torque Ripple Reduction and Stator Resistance

58

Estimator

20. Power Quality Reactive Power Compensation using Multi Level Inverters

21. Power Systems

Optimal location of DG using PSO Technique

G.Sasi Kumar

22. Power Electronics – Renewable energy conversion

Hardware Implementation of FPGA based Controller for Inverter

23. Proto type model development of solar inverter for 1Hp Motor

24. Power system Distribution system

Optimal location of Multiple Distributed Generator in radial Distribution system for minimization of real power loss

25. Power Electronics – Renewable energy conversion

Simulation of Single phase Five Level DC –AC Multi Level Inverter

26.

High Voltage Engineering

Analysis and design Selection of Lightning Arrester for Distribution Susbstation.

G.Radhika

27. Study of Lightning Surge Overvoltage at Substations due to Direct Lightning Strokes to Phase Conductor

28. Small Scale Design and Development of Impulse Current Generator and Testing of Surge Arrester Blocks.

29. Comparison of Transmission Tower Models for Evaluating Lightning Performance

30. Renewable Energy Sources

Design of multipurpose utilization of solar energy for agricultural fields

Dr.J.Bhavani


Design and implementation of Boost converter for Power

32. Power Electronics & Drives

Harmonic Reduction and Power factor improvement using Active Filters

33. FACTS

Improvement of power quality in micro grids using advanced active power conditioner

34.

Power Systems

Optimal Capacitor Allocation in Radial Distribution Systems

D.Ravi Kumar

35. Minimization of Distribution system Losses using Monte Carlo Simulation

36. Hysteresis Voltage Control Technique in Dynamic Voltage Restorer for Power Quality Improvement

37. Comparison of Network Reconfiguration Algorithms

59

in Distribution Systems 38.

AI Techniques

Design of Hybrid Standalone Solar Oven for Indian Community Usage

P.Ramesh

39. Design of neuro fuzzy controllers 40. Design of Energy efficient sensor less Solar tracking

Systems based on AI Techniques

41. Solar Tracking System using Artificial Intelligence 42.

Power Systems

Review of available transmission capability (ATC) calculation Methods

T.Nireekshana

43. Transmission Congestion Management 44. Energy Storage Technologies for Electric

Applications

45. Congestion Alleviation in Distribution System using FACTS Devices

46.

Renewable Energy Sources

Electricity generation using wave power oyster generator

G.Naveen Kumar

47. Electricity generation using Biogas

48. Induction generator design for small scale power generation in residential utilities

49. Electricity generation using oscillating water column

50. Power Electronics and drives

Speed measurement of a general DC brushed

motor based on sensor less method

E.Shiva Prasad

51. DC Machines Evaluation of transient response of a separately excited DC motor under no load

52.

AC Machines

Optimal PWM controller for an inverter driven induction motor

53. Calculation of slip energy recovery induction motor drive behavior using the equivalent circuit


Selective Harmonic Elimination of Cascaded Multilevel Invert using algorithm

B.Ganesh Babu

55. Smart Grids Grid Connected Multilevel Inverter for Renewable Energy Applications

56. Renewable Energy Systems

Harmonic elimination in diode-clamped multilevel inverter using evolutionary algorithms

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=194187&queryText%3Dinsduction+motor+drive�


60

57. Smart Grids and RES

Harmonic Elimination in Cascade Multilevel Inverter with Non Equal DC Sources using Genetic Algorithm

58.

Power Electronics and Drives

Simulation Investigation of SPWM, THIPWM Techniques for Three Phase Voltage Source Inverter

M.Ranjit

59. Speed Control of Induction Motor using Scalar Control Technique

60. A space-vector modulation scheme for a four-level dual inverter fed open-end winding induction motor drive

61. Minimum Switching Loss PWM Algorithms for Three-Phase voltage Source Inverter Fed Induction Motor Drives

62.

Power Systems

Very Fast Transient Overvoltage’s generated by Gas Insulated Substations

M.Nagajyothi

63. From Demand Response in Smart Grid Toward Integrated Demand response in smart Energy Hub

64. Optimal Power Flow Analysis of a Distributed Generation System

65. Quasi-Z-Source Inverter With Reduced Capacitance Using Modified Modulation and Double-Frequency Ripple Suppression Control

66.

Power Electronics

Comparision of wavelet based control technique with different control techniques for Three phase-Z-Source Inverter

Ch.Manjeera

67. High-Gain Single-Stage Boosting Inverter for Photovoltaic Applications

68. Constant Boost Control of the Z-Source Inverter to Minimize Current Ripple and Voltage Stress

69. Comparision of wavelet based control technique with different control techniques for Three phase-Z-Source Inverter

70. Power Electronics and Machines

Modeling and Analysis of the Bendable Transformer

G.C.Prabhakar

71. Static Regulated Multistage Semiactive LED Drivers

for High- Efficiency Applications

72. Efficient Transformer less MOSFET Inverter for a Grid-Tied Photovoltaic System

73. Renewable Energy fed Distribution Systems

Internet based control of home appliances using arduino and GSM module

D.S.G.Krishna

74. Grid Interconnection of Renewable Energy Sources at the Distribution Level

75. DC Microgrid for super high quality distribution system Configuration and control of distributed generation

76. Dynamic simulation of

Model validation and Employing field measurements in Large scale Power systems

61

Power System

77. Protection of Electric Machine

Arduino based Relay- Circuit breaker for protection of electric

S.Poornima

78. FACTS Fast Voltage Stability Index for the improvement of Voltage stability

79. Power System Protection

Inrush Current Detection Based On Wavelet Transform and Probabilistic Neural Network

80. Artificial intelligence and Protection of electrical machines

Artificial intelligence and Protection of electrical machines

81.

Power Electronics

Design and simulation of Four quadrant operation of DC Motor

R.Geshma Kumari

82. Design and Performance of a Bidirectional Isolated DC–DC Converter

83. Optimization of PI Controller using PSO for Power Electronic Converter

84. Model Based Adaptive Direct Power Control for Three-Level NPC Converters

85.

Power Electronics – Renewable energy conversion

Hardware Implementation of FPGA based Controller for Multi Level Inverter

Y.Srikanth reddy

86. Optimization Techniques used for reconfiguration of Solar PV array system

87. Design and Implementation of Three-Level DC-DC Converter with Golden Section Search Based MPPT for the Photovoltaic Applications

88. Advanced Control Architectures for Intelligent Microgrids—Part II: Power Quality, Energy Storage, and AC/DC Microgrids

89.

High Voltage Engineering

Impact of Transformer Model Parameters of High frequency

O.Sobhana

90. Detection of transformer winding deformations based on the T.F

91. Fault Detection and Protection of Transformer by Using Microcontroller


Performance analysis of Induction motor in MATLAB

93. Hybrid- Stability of a dc Distribution System for Power System Integration of Plug-In Hybrid Electric N.Amarnadh

62

Electric vehicles

Vehicles Reddy 94. A Zero-Voltage Switching Full-Bridge DC–DC

Converter With Capacitive Output Filter for Plug-In Hybrid Electric Vehicle Battery Charging

95. Design of Single-Stage Buck and Boost Converters for Photovoltaic Inverter Applications

96. An Integrated Three-Port Bidirectional DC–DC converter for PV Application on a DC distribution System

97. Power Electronics application to Power Systems

Improvement of Voltage stability of Transmission system using TCSC

K.Veeresham

98. Enhancement of system transfer power using STATCOM

99. Optimal Active and reactive power flow using TCSC of a Transmission System

100. Optimal power flow using STATCOM in a Transmission System

101. Power Electronics and Renewable Energy Systems

Modeling of a hybrid controller in DC grid connected applications of PVsystem using practical swarm optimization technique

T.Hari Priya

102. An Adaptive Perturb and Observe based fuzzy logic controller for solar PV pumping system using PMDC motor

103. Modeling of a Doubly Fed Induction Generator Wind Turbine and Solar PV based Hybrid Power Sources for DC-grid connected Applications

104. Design of MPPT controller for high voltage gain interleaved multilevel boost converter for high voltage DC grid connected applications

105.

Microgrid

Maximum Power Point Tracking of Partially shaded PV array

P.Dimple Raja

106. A three-phase DC/AC inverter for PV application

107. Microgrid (Power

Control of Frequency and Voltage Output of Microgrid, Grid

63

108. Electronics) Microgrid Economy and Optimal Operation of Grid connected Microgrid

109.

Power Systems

Study of control strategies for variable speed wind turbine under limited power conditions

K.Ranjith Reddy

110. Limiting the power generated by a photovoltaic system

111. Power Quality Improvement Using Interline Unified Power Quality Conditioner


A simplified SVPWM control strategy for PV inverter

113.

Distribution Generation

Distributed Generation and Capacitor Banks Placement in Order to Achieve the Optimal Real Power losses using GA

R.Sireesha

114. Optimal Location, sizing And Appropriate Technology of Distributed Generators for Minimizing power loss Using Genetic Algorithm

115. Dg Placement In Distribution Network For Power Loss Minimization Using Genetic Algorithm

116. Optimal Allocation of Distributed Generation to Minimize Loss in Distribution System

117. Electric Drives

Analysis and Simulation of Speed Control of PMBLDC by PI Controller

M.Shiva Teja


A Performance Comparison of Interleaved Boost Converter and Conventional Boost Converter for Renewable Energy Application

119. Electric Drives

Solar PV Stand-Alone Water Pumping System Employing PMSM Drive

120. Power Quality

Simulation and Comparison Between Hybrid Active Power Filter and Shunt Active Power Filter

121. Fractional calculus and DC drives

Fractional PID Controllers in speed control of DC drives

P.Sai Kumar Naidu

122. Soft Switching in DC- DC converters

Soft switching in isolated DC DC converters

123. Switched Reluctance

Implementation of speed controller for switch reluctance motor

64

Motors

124. Grid Synchronization, Power Quality

Power quality improvement in grid synchronization with STATCOM

125. Power electronics

Soft switching in boost converter

I.Neelima

126. Power Systems and Power Electronics

Simulation of three phase three level and five level inverters using SPWM technique

127. Power Systems and Power Electronics

Space vector modulation implementation to three phase three level diode clamped inverter

65

Project Domain : Power Electronics Project Title : Modeling and Design of DC Homes Guide : K.Anuradha Qualification : Ph.D Specialization : Industrial Drives & Control Research Interest : Power Electronics Applications to Power Systems Project Description: The objective of this project is development of a DC House. A DC house is a house whose electricity is provided by dc power, rather than the traditionally used ac power. The primary motivation of the DC House project is to provide electricity for people living in rural areas especially those in remote areas and secluded islands using renewable energy sources and human-powered generators.

It has been estimated that about 1.6 Billion people in the world today are without electricity; many of whom are either on or below the poverty line. Meanwhile, in recent years there has been an outburst of interest in the use of renewable energy sources to reduce greenhouse gas emissions. For instance, from 2000 to 2007 the global solar industry has experienced growth of 849% which can be translated to an increase in installed capacity of 877 MW in 2000 to 8325 MW at the end of 2007. These renewable energy sources are generally putting out dc power and hence some intermediate energy conversion to ac is essential for its use. Unfortunately, this much needed conversion yields not only extra cost to the system but also introduces power loss which consequently reduces system's efficiency. This project is aimed to utilize the dc energy directly from renewable energy sources without the need for dc to ac conversion. Besides enhancing system's efficiency while reducing cost, the DC House's main use will be in locations where utility grid is out of reach or geographically inaccessible; hence, the opportunity to promote the use of renewable energy sources while providing electricity to those people who are unfortunate.The DC House Project is intended to be a humanitarian project.

Future Expansion of the Project: Implementation of DC Homes. Requirement for the Project: MATLAB software, Components for DC power generation

66

Project Domain : Power Electronics Project Title : Implementation of Single Phase Cascaded H-Bridge

Multilevel Converter for high power applications and THD minimization using Genetic Algorithm approach

Guide : K.Anuradha Qualification : M.E Specialization : Industrial Drives & Control Research Interest : Power Electronics Applications to Power Systems Project Description:

Cascaded H-Bridge (CHB) multilevel inverter is one of the popular converter

technologies used in high-power-medium-voltage (MV) drives. It is composed of a

multiple units of single phase H-Bridge power cells. The H-Bridge cells are normally

connected in cascade on their ac side to achieve medium voltage operation with low

harmonic distortion.

In the present work it is proposed to analyze in detail various pulse width modulation

control strategies for the operation of CHB multi level Inverters. Genetic Algorithm

approach is being applied for PWM schemes with optimal THD levels with their

performance when applied to CHB multilevel Inverter is compared using MATLAB

simulation studies, and validate the same by implementing CHB Multilevel Inverter

using TMS320C2812 DSP.

Future Expansion of the Project: The developed Multilevel Inverter can be used for reactive power management applications, Grid integration of Solar Photovoltaic based Power System and medium voltage & high power drive applications. Requirement for the Project: MATLAB Software, TMS 320C2812DSP, IGBTs & D.C power supplies

67

Project Domain : Power Electronics & High Voltage Engineering Project Title : Solid State Pulsed Power Generation Guide : K.Anuradha Qualification : Ph.D Specialization : Industrial Drives & Control Research Interest : Power Electronics Applications to Power Systems Project Description:

Pulsed power is the commonly used term for technologies and systems that

compress electrical energy in time to form high power pulses. Pulse power is the

steady accumulation of energy followed by its rapid release that results in the delivery

of a large amount of instantaneous power over shorter period of time in turn delivering

huge amount of power to load. A Pulsed Power System is characterized by its energy

storage system, the energy can be released in the form of a high power pulse to the

load, by means of a switching device. The energy storage is usually either of an

inductive or a capacitive nature. The limiting device in a Pulsed Power System is often

the switch, which limits the pulse peak power and the repetition rate. The conventional

approach in Pulsed Power designs is to use a gas switch such as a thyratron, ignitron

or spark gap. However these devices have limited lifetime, high cost, low repetition

rate and high losses. With the continued improvement of the high power

semiconductors in switching speed, voltage and current rating, solid-state

semiconductors have become the device of choice for pulsed power systems. In the

present work, study and analysis of semiconductor switch based Pulse Power

Generation is proposed.

Future Expansion of the Project: Base work for Research Proposal to be submitted to ARDE, Pune Requirement for the Project: MATLAB/SIMULINK software

68

Project Domain : Power Electronics Project Title : Modelling and Simulation of Grid Integrated Renewable

Energy Sources for Electrical Power Generation Guide : K.Anuradha Qualification : M.E Specialization : Industrial Drives & Control Research Interest : Power Electronics Applications to Power Systems Project Description: Electricity generation from renewable energy sources is increasingly recognized to Play

an important role for the achievement of a variety of primary and secondary energy

policy goals, such as improved diversity and security of energy supply, reduction of

pollutant and greenhouse gas emissions, regional and rural development and

employment generation at the local and regional level. The declaration of National Solar

Mission in 2010 has given fresh impetus in establishment of MW level solar PV power

plants. Distributed generation can play major role in energy availability and energy

security. It can provide power in remote areas; it avoids high transmission & distribution

(T&D) costs, provides reliable and quality power and is environment friendly. In view

of the above mentioned advantages, it is proposed to model Solar PV based Renewable

Energy System and its integration with Grid.

69

Future Expansion of the Project: The developed Models can be used for implementation of Grid integrated Solar Photovoltaic based Power System.. Requirement for the Project: MATLAB Software , Components for Grid Tied System

Project Domain : Power Systems and Power Electronics Project Title : Smart Energy Meter Guide : Dr. Poonam Upadhyay Qualification : M.Tech (IPS) Ph.d (EE) Specialization : Power Systems and High Voltage Engineering Research Interest : Power Systems and High Voltage Engineering


This Smart Energy meter is Arduino based and measures the real power, apparent power,

reactive power, phase and energy. Beside that, the wattmeter measures also the mean, RMS,

standard deviation, maximum, minimum and frequency of both the voltage and current. And

it can measure the area of the voltage (flux) and current (charge) and keeps track of the

measure time. Depending on the used display two or four parameter can be read

simultaneous.

Future Expansion of the Project : Implementation in a practical systems Requirement for the Project : Hardware Components

Project Domain : Power Systems and Power Electronics Project Title : Wireless Smart Energy Meter Guide : Dr. Poonam Upadhyay Qualification : M.Tech (IPS) Ph.d (EE) Specialization : Power Systems and High Voltage Engineering Research Interest : Power Systems and High Voltage Engineering

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The Arduino based wireless power meter is a non-invasive current meter for household power

with a Matlab interface. Current is measured using split core current transformers. This data is

then transmitted over a 802.11b connection through the home’s wireless router to the base

station and Matlab interface. The project aims to provide a clear picture of a home’s current

usage, and through this data provide an estimate to power consumption.

Future Expansion of the Project : Implementation in a practical systems Requirement for the Project : MATLAB Software and Hardware Components

Project Domain : Power Systems and Power Electronics Project Title : Optimal Placement of Facts Devices Using Particle Swarm Optimization Technique For Power Systems Guide : Dr. Poonam Upadhyay Qualification : M.Tech (IPS) Ph.d (EE) Specialization : Power Systems and High Voltage Engineering Research Interest : Power Systems and High Voltage Engineering Project Description:

This project deals with the optimal location and parameters of TCSC and SVC in electrical

Power systems, using Particle Swarm Optimization technique (PSO). The objective is to

maximize the transmission system loadability subjected to the transmission line capacity

limits and specified bus voltage levels. Using the proposed method, the location of SVC and

TCSC and their parameters are optimized simultaneously for IEEE 30 bus system. PSO is

used to solve the above non linear programming problem for better accuracy.

Future Expansion of the Project : Implementation in a practical systems Requirement for the Project : MATLAB Software

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Project Domain : Power Systems and Power Electronics Project Title : Optimal Load Dispatch Using Hybrid Pso Technique For Power Systems Guide : Dr. Poonam Upadhyay Qualification : M.Tech (IPS) Ph.d (EE) Specialization : Power Systems and High Voltage Engineering Research Interest : Power Systems and High Voltage Engineering Project Description:

Optimal Load Dispatch (OLD) plays an important role in power system operation. The objective

of Optimal Load Dispatch of electric power generation is to schedule the committed generating

units outputs so as to meet the required load demand at minimum operating cost while satisfying

all units and system equality and inequality constraints. This project a new optimization

approach is used to solve the Optimal Load Dispatch (OLD) problems with power flow

constraints. The proposed Hybrid PSO method employs PSO combined with EP technique. In

this approach the best features of both PSO and EP are incorporated. The proposed method, PSO

and EP have been tested on IEEE 14, IEEE 118 and 66 Bus Utility System. The results clearly

shows that the proposed method out performs standard PSO method and EP method on the same

problem and can save considerable cost of Optimal Load Dispatch problems and this proposed

method is well suitable for large and practical systems.

Future Expansion of the Project:. Implementation in a practical systems Requirement for the Project : MATLAB Software

Project Domain : Electrical Machines Project Title : Power transformer condition monitoring and performance calculation method based on information fusion Guide : V.Ramesh Babu Qualification : M.Tech Specialization : Power Electronics Research Interest : Electrical Machines and Control


In this proposed work, An Intelligent Electronic system can be used to monitor the conditioning

of a Power Transformer. Proposed system has some abilities: provide information about

equipment condition, perform diagnosis, and provide prediction on transformer life remaining.

Data from sensors is extracted to provide information on equipment condition. Electrical and

physical quantities to be monitored are voltage, current, temperature, and frequency. The system

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will then analyze data to provide user with information about the condition of

the transformer and life remaining estimation.

Future Expansion of the Project:. It can be extended for Continuous mode Requirement for the Project : MAT LAB, Components as per the design considerations

Project Domain : Electrical Machines Project Title : Design and Fabrication of Microprocessor based transistorized based Chopper controlled DC motor Guide : V.Ramesh Babu Qualification : M.Tech Specialization : Power Electronics Research Interest : Electrical Machines and Control Project Description:

The control of dc voltage is very much required especially for dc motor control. To make it

possible, a Dc chopper can be a good choice. A microprocessor used to generate square pulses

which are fed to the transistor to drive it into cut-off and saturation regions, and hence the

switching action is obtained. Since the stray signals of microprocessor cannot drive the base of

transistor, a driver circuit (buffer amplifier) is used in the base circuit. This chopper controlled

drive is first designed and fabricated.

Future Expansion of the Project : It can be extended to Four Quadrant Operation of DC motor Requirement for the Project : MAT LAB, Components as per the design considerations

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Project Domain : Electrical Machines Project Title : Minimize torque ripples in DTC induction motor Drive Guide : V.Ramesh Babu Qualification : M.Tech Specialization : Power Electronics Research Interest : Electrical Machine Control Project Description:

The direct torque control (DTC) speed control scheme of an induction motor surpasses the

vector control in the sense that it controls the torque directly and does not use transformations

and current modulator. The only snag in DTC scheme is the presence of high content

of torque ripples in the output torque. This paper presents a novel approach towards the

minimization of torque ripples by modifying the conventional three-level

hysteresis torque controller used in DTC. A unique switching strategy has been developed to

generate desired voltage vector. The comparison of the simulated results based on

% ripple content shows that the proposed method has successfully reduced ripples in

the torque under the various operating conditions.

Future Expansion of the Project: Requirement for the Project : MAT LAB

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Project Domain : Electrical Machines Project Title : Prototype of an axial flux permanent magnet generator for Wind Energy Systems Applications Guide : V.Ramesh Babu Qualification : M.Tech Specialization : Power Electronics Research Interest : Electrical Machine Control Project Description:

Small scale wind power applications require a cost effective and mechanically simple

generator in order to be a reliable energy source. The use of direct driven generators, instead

of geared machines, reduces the number of drive components, which offers the opportunity

to reduce costs and increases system reliability and efficiency. For such applications,

characterized by low speed of rotation, the axial flux permanent magnet generator is

particularly suited, since it can be designed with a large pole number and high torque

density. The proposed work will present a double-sided axial flux permanent magnet low-

speed generator, with internal rotor and slotted stators. Such a structure will give a good

compromise between performance characteristics and feasibility of construction. Test results

obtained from the prototype are reported.

Future Expansion of the Project: Requirement for the Project : MAT LAB

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Project Domain : Power System Operation and Control (Power Systems) Project Title : Particle Swarm Optimization Based optimal tuning of ALFC and AVR of an Isolated Power System Guide : Dr.Venu Yarlagadda Qualification : PhD Specialization : Power Systems Research Interest : Power Systems, FACTS, Power Quality, Electrical Machines & Intelligent Systems Project Description:

An evolutionary computing approach of or determining the optimal values for the

proportional -integral- derivative (PID) controller parameters of load frequency control

(LFC) and Automatic Voltage Regulator (AVR) system of single area power system using

the particle swarm optimization technique is presented. The LFC loop controls real power &

frequency and AVR loop controls reactive power and voltage. Due to rising and falling

power demand, the real and reactive power balance is harmed; hence frequency and voltage

get deviated from nominal value. This necessitates designing of an accurate and fast

controller to maintain the system parameters at nominal value. The main purpose of system

generation control is to balance the system generation against the load and losses so that the

desired frequency and power interchange between neighboring systems are maintained. This

work demonstrates the application of PSO method to search efficiently optimal PID

controller parameters of LFC and AVR system. The proposed method had superior features

like, stable convergence characteristics, easy implementation and good computational

efficiency. The simulation results demonstrate the effectiveness of the designed system in

terms of reduced settling time, overshoot and oscillations. The results are compared with

conventional PID , Fuzzy and GA based controllers

Future Expansion of the Project :. The project can be extended upto 765kV. Requirement for the Project : PSCAD/EMTP Software.

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Project Domain : D.C.Drives Project Title : ABC based Optimal Tuning of PID Controller for Speed Control of D.C.Motor Guide : Dr.Venu Yarlagadda Qualification : Ph.D Specialization : Power Systems Research Interest : Power Systems, FACTS, Power Quality, Electrical Machines & Intelligent Systems Project Description:

Due to its excellent speed control characteristics, the DC motor has been widely used in

industry even though its maintenance costs are higher than the induction motor. As

a result, speed control of DC motor has attracted considerable research and several

methods have evolved. PID controllers have been widely used for speed control of DC

motor. In this project using Artificial Bees Colony (ABC) optimization algorithm

for regulation parameters of PID controller of DC motors. The aim of the proposed

method is to improve tracking performance of DC motor. This method can be

compared with other methods on improvement of performance.

One of the new developed algorithms is the artificial bees colony optimization algorithm

has been particularly appealing various scientific circles, primarily because such

algorithms allow autonomous adaptation/optimization of controller parameters without

human intervention, are not easily trapped in locally optimal solutions, allow parallel

exploitation of an optimization parameter space, and do not require gradient

evaluation of the objective function. In the proposed work we will compare the

time domain performance of the PID controller for DC-motor system tuned by ABC

algorithm. The ABC algorithm may show the better performance than the other

population based optimization algorithms.

Future Expansion of the Project: This tuning can be extended to different Applications, Power System Stability Improvement, OPF, Speed Control of Induction Motor and Voltage Control etc. Requirement for the Project: MATLAB/EM Lab

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Project Domain : Power Systems Project Title : Optimal placement of series FACTS Controller in Power Systems for Stability Improvement Guide : Dr.Venu Yarlagadda Qualification : Ph.D Specialization : Power Systems Research Interest : Power Systems, FACTS, Power Quality, Electrical Machines & Intelligent Systems Project Description:

The main objective of the Project is to find the Optimal Capacity and location of

the series FACTS Controller (TCSC) for the system stability Improvement in power

systems. In this project IEEE Test systems have to be simulated and the system stability

has to be assessed using stability indices. Secondly the Size and location of series FACTS

Controller has to be obtained using a novel stability Index.

Future Expansion of the Project: The algorithm for the search of optimal values can be modified using Intelligent Systems Requirement for the Project: MATLAB/SIMULINK & PSCAD Softwares

Project Domain : Design of Electrical Machines Project Title : Implementation and Control of self excited 1-ph Induction Generator Guide : Dr.Venu Yarlagadda Qualification : Ph.D Specialization : Power Systems Research Interest : Power Systems, FACTS, Power Quality, Electrical Machines & Intelligent Systems Project Description:

The test system has to be developed in the laboratory with an MG Set comprised of

D.C.Motor and Induction Machine which can be operated as a self excited 3-ph Induction

Generator. The objective of the project is study the terminal voltage characteristics of self

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excited 3-ph Induction Generator and testing the conditions of self excitation process

practically. Further the design of suitable Reactive Compensation has to be obtained for

the implementation of self excited Induction Generator. The terminal voltage

characteristics of the SEIG can be controlled using Compensation Devices.

Future Expansion of the Project: It can be extended for the large systems Requirement for the Project: MG Set of Induction and D.C.Motor, Design of SVC with suitable Capacity. Total cost about Rs 1 lakh including cost of MG Set

Project Domain : Control of Electrical Drives Project Title : Speed Control of PMSM with MTPA Guide : N.Krishna Kumari Qualification : M.E Specialization : Electrical Machines Research Interest : Power Electronic Control of Drives

Project Description : This project proposes a simple method direct torque control (DTC) based on space vector

pulse width modulation (SVPWM) of surface-mounted permanent-magnet synchronous

motors (SPMSM). The proposed DTC method calculates the optimized voltage vector with

MTPA using the motor parameters. And the analysis of the relationship between the stator

flux, torque, and stator voltage are used to calculate the optimized voltage vector. Thus the

overshoot does not occur and the fast and accurate torque control becomes possible. The

voltage vector calculation is divided into three steps. First, the magnitude of the voltage

vector is calculated using the reference torque. Second, even though the motor parameters

are not precise, the accurate torque control can be achieved through the compensation of the

voltage vector.

Last, the angle of the voltage vector is calculated through the magnitude of the voltage

vector and the stator flux error. The calculated voltage vector controls the motor instantly

and accurately by operating the inverter through the DTC-SVPWM method. The

effectiveness of the DTC method is proposed to verify through simulation. The simulation

result helps to prove new strategies with low torque ripple and quick dynamic performance.

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Future Expansion of the Project: Hardware Implementation of the proposed project with FPGA Requirement for the Project : Matlab Software, Xilinx Software, Hardware set up with FPGA

Project Domain : Power Electronics Project Title : Qualitative Analysis of Diode Clamped Multi Level Inverter fed

Induction Motor with Phase Shifted SPWM Guide : N.Krishna Kumari Qualification : M.E Specialization : Electrical Machines Research Interest : Power Electronic Control of Drives

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The requirement of escalating power quality in the past years leads to the development of multi

level inverters due to its effectiveness and control methods. In this work, three level, five level,

seven level and nine level diode clamped inverter (DCMLI) are considered with different

modulation indices for induction motor (IM). This work focuses on sinusoidal pulse width

phase shift modulation (SPWPSM) for DCMLI over other modulation schemes because it

adopts simple control logic for gate signal generation. Comparative analysis gives the amount

of reduction in distortions of speed and electromagnetic torque characteristics of a DCMLI fed

Induction motor using PI controller in MATLAB/ Simulink/ Sim power system environment.

Also the THD of phase current and voltages reduces as the level and modulation indices

increases.

Future Expansion of the Project : Hardware Implementation of the proposed project with FPGA Requirement for the Project : Matlab Software, Xilinx Software, Hardware set up with FPGA

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Project Domain : Control of electrical drives Project Title : Modified Direct Torque Control for Permanent Magnet

Synchronous Motor Drive Based on Fuzzy Logic Torque Ripple Reduction and Stator Resistance Estimator

Guide : N.Krishna Kumari Qualification : M.E Specialization : Electrical Machines Research Interest : Power Electronic Control of Drives Project Description :

The two important disadvantages of Direct Torque and Flux Control (DTC), are torque and

flux ripples and stator resistance variation (which affects seriously the estimation stator flux

and electromagnetic torque). This project proposes a fuzzy-logic based DTC (FLC) using

modified switching table for permanent magnet synchronous motor (PMSM) and Fuzzy-logic

Resistance Estimator. The high-performance of FLC applied to PMSM drive are proposed to

compare with traditional DTC. The proposed system has to prove successful in controlling the

instantaneous torque so as not to depend only on the estimation flux, torque and position, but

also on variable amplitude torque hysteresis bands and stator resistance (rs) delivered by

fuzzy-logic.

Future Expansion of the Project: Hardware Implementation of the proposed project with FPGA Requirement for the Project : Matlab Software, Xilinx Software, Hardware set up with FPGA

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Project Domain : Power Quality Project Title : Reactive Power Compensation using Multi Level Inverters Guide : N.Krishna Kumari Qualification : M.E Specialization : Electrical Machines Research Interest : Power Electronic Control of Drives Project Description:

In recent times, power quality and custom power have been hot topics because of the

widespread use of nonlinear electronic equipment such as diode/thyristor rectifiers,

switched mode power supply (SMPS), welding equipment, incandescent lighting, and

motor drives are degrading power quality in transmission and distribution grid systems.

These non-linear loads result in harmonic or distortion current and create reactive power

problems. Harmonic suppression and reactive power compensation are essential for the

construction of smart grid, which gathers, distributes, and acts on the behaviour of

suppliers and consumers in order to improve the efficiency and sustainability of electric

services. Hence reactive power compensation with Multi Level Inverters are proposed

in Matlab /Simulink environment with PI and Fuzzy logic Controllers.

Future Expansion of the Project : Using Model Reference Adoptive Controller (MRAC) Requirement for the Project : Matlab Software

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Project Domain : Power Electronics – Renewable energy conversion Project Title : Hardware Implementation of FPGA based Controller for Inverter Guide : G.Sasi Kumar Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications Project Description:

An inverter (power inverter) is an electrical device that converts DC power or direct current

(DC) to AC power or alternating current (AC). The converted alternating current (AC) can be

at any required voltage and frequency with the use of appropriate transformers, switching, and

control circuits. An inverter (power inverter) allows you to run electrical equipment off your

home light loads appliances.

Here it is required to develop hardware model Inverter for Residential applications using

FPGA implementation and also to increase reliability of the system with less hardware

complexity and cost.

Requirement for the Project :

Hard ware requirements :

1 Inverter model design

2 Development of FPGA based controller

3 Code development using VHDL

4 Hardware Implementation

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Project Domain : Power Electronics – Renewable energy conversion Project Title : Proto type model development of solar inverter for 1Hp Motor Guide : G.Sasi Kumar Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications


Photovoltaic systems, also known as solar inverters, have gained greater visibility

during the past several years as a convenient and promising renewable energy source. This

energy system has several advantages compared to other forms of renewable power, such

as wind energy.

The main drawbacks of Photovoltaic energy are the high cost of manufacturing

silicon solar panels and the low conversion efficiency. With the newer techniques of

manufacturing crystalline panels and efficient power converter design, it is possible to

make a PV project cost-effective. The conversion of the output voltage from a solar panel

into usable DC or AC voltage must be done at its Maximum Power Point, or MPP.

Through this project we will develop a prototype model using a solar module, inverter, booster transformer and a filter. Using certain simulation techniques we will observe and analysed the output and through that its feasibility


Hard ware requirements : 1 solar module 2 power supply 3 inverter driver 4 voltage controller IC 5 battery

COMPONENTS REQUIREMENT 1.STEP UP TRANSFORMER 230/12V-1No 2.IC CD 4047-1No 3.DIODES IN4007-1No 4.CAPACITORS 2200UF -1No 0.01UF- 1No

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5.LED 4-Nos 6.RESISTORS 330 ohm- 1No,220 ohm- 2No,390Kohm-1No,1Kohm-1No 7.MOSFET IRF540- 2 No 8.DC SUPPLY UNIT- 12V BATTERY UNIT- 1 No

Project Domain : Power system Distribution system Project Title : Optimal location of Multiple Distributed Generator in radial Distribution system for minimization of real power loss Guide : Mr.G.Sasi Kumar Qualification : M.Tech Specialization : Power electronics Research Interest : Power electronics and Power systems


Modern distribution systems face a problem that the loads are growing continuously, thus

the operation of distribution equipments are close to their marginal status, which will

inevitably result in voltage instability, Power losses and loadability problems.

Mean while, with the development of Distributed Generator interconnected into

distribution network to improve the reliability of power supply, reduce the cost of

electricity and lower emissions of air pollutants. Here DG unit become act as mobile

reactive power compensator. In order to obtain the maximum potential benefit, proper

optimal location to be calculated in the given system.

Here consider the 69 bus test feeder operates at 23kV,loads connect at all the buses expect bus1 simulate the system with and without DG observe the performance of the system with different load conditions. Using different stability indices locate the optimal location of DG in Distribution system.

Future Expansion of the Project: Consider the same case study and large radial network connect the Distributed Generator at different location observe the performance analysis of the radial network using different soft technique methods.

Requirement for the Project: Software : MATALAB

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Project Domain : Power Electronics – Renewable energy conversion Project Title - 1 : Simulation of Single phase Five Level DC –AC Multi Level Inverter Guide : G.Sasi Kumar Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications Project Description:

Medium voltage motor drives and utility applications require medium voltage and megawatt

power level. For a medium voltage grid, it is troublesome to connect only one power

semiconductor switch directly. As a result, multilevel power inverter structure has been

introduced as an alternative in high power and medium voltage situations. A multilevel

inverter not only achieves high power ratings, but also enables the use of renewable energy

sources. Renewable energy sources such as photovoltaic, wind, and fuel cells can be easily

interfaced to a multilevel inverter system for a high power application.

To obtain close to sinusoidal output waveform which minimizes low order harmonics and

ability to reduce the voltage stress on each power device due to the utilization of multiple

levels on the DC bus multilevel inverters provide a viable solution for the control of electric

drives.

Develop the Simulink model of new topology of DC-AC inverter then simulate the model

and observe ac output, do the performance analysis of an inverter and compare with existing

multilevel inverter.

Requirement for the Project: MATLAB Software

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Project Domain : High voltage Engineering Project Title : Analysis of Critical Flashover of an Insulator Guide : G.Radhika Qualification : M.Tech (Ph.D) Specialization : Electrical Power Engineering Research Interest : Power System Protection & High Voltage Engineering


This project presents the method for calculation of lightning critical flashover voltage

(CFO) of high voltage insulators. Flashover occurrence on overhead transmission line

insulators for 110 kV, 220 kV and 400 kV networks has to be studied using the leader

progression model (LPM). CFO is to be calculated for standards 1.2/50 µs waveform and

for waveforms measured in laboratory conditions and to be verified that the presented

method predicts CFO with good accuracy.

Future Expansion of the Project : The project can be extended upto 765kV. Requirement for the Project : PSCAD/EMTP Software.

Project Domain : High voltage Engineering Project Title : Computation of Phase & Sequence Impedance Matrices Cables Guide : G.Radhika Qualification : M.Tech (Ph.D) Specialization : Electrical Power Engineering Research Interest : Power System Protection & High Voltage Engineering Project Description:

This Project could dealt with the unbalanced phase impedance matrix constructed

by using the Physical data of the cables and is transformed to sequence impedance

matrix, and their inter circuit mutual couplings have to be eliminated by the using

different techniques for all types.The computation of transmission system by matrix

notation provides a concise and simplified means of expressing many problems like

faults, stability in a logical and ordered manner to determine insulation

requirements, transformers and surge arresters against transient over voltages.

Also, Matlab coding has to be been developed for analyzing any type of cable

configuration.

Future Expansion of the Project : This project can be extended for application oriented. Requirement for the Project : Matlab Software

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Project Domain : High voltage Engineering Project Title : Comparison of Transmission Tower Model for Evaluating Lightning Performance Guide : G.Radhika Qualification : M.Tech (Ph.D) Specialization : Electrical Power Engineering Research Interest : Power System Protection & High Voltage Engineering


This project should focuses on the representation of tall metallic structures, such as power line

towers, by means of vertical transmission line segments. Some of the most common tower

models have to be tested and the difference between the single vertical line models and the

vertical multi-conductor ones are to be demonstrated through comparison with field survey.

Future Expansion of the Project : The project can be also be compared with Gutierrez models too.

Requirement for the Project : PSCAD/EMTP Software.

Project Domain : High voltage Engineering Project Title : Design & Fabrication of High Frequency, High Voltage Generator Guide : G.Radhika Qualification : M.Tech (Ph.D) Specialization : Electrical Power Engineering Research Interest : Power System Protection & High Voltage Engineering Project Description:

In order to investigate the behavior of dielectric materials and electric insulation systems a

high-frequency high-voltage generator based on the resonance principle up to 30 kV peak in a

frequency range of 1 kHz up to 50 kHz was developed. A special coil design and the use of a

suitable insulating medium ensured the dielectric strength of the generator. The

interconnection of conventional DC and AC high voltage test systems with the exposed

generator allows the generation of superimposed voltages of different frequencies and

amplitudes. First measurements of breakdown voltages in air at higher frequencies are

presented.

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Future Expansion of the Project :. This project can be extended for application oriented. Requirement for the Project : Matlab Software, Hardware Equipments.

Project Domain : Renewable Energy Sources Project Title : Design of multipurpose utilization of solar energy for agricultural fields Faculty Name : Dr.J.Bhavani Qualification :M.Tech., Ph.D Specialization : Power Electronics Area of Interest : Power Electronics & Drives, Multilevel Inverters, PWM Schemes. Project Description: The Main objective of this project is to serve the multipurpose of solar energy. In this

project it involves a multipurpose utilization of solar energy for agricultural purpose and its

design. Initially solar energy will be stored in the batteries and that will be used to serve the

purpose of pumping the water to the agricultural purpose during power cuts and the same

power will be used for the purpose of Fencing to protect the fields from animals and it may

be extended further based on the requirement .

Future Expansion of the Project: It may be extended further based on the requirement.

Mode of Project: Hardware implementation.

Project Domain : Power Electronics Project Title : Design and implementation of Boost converter for Power factor correction Faculty Name : Dr.J.Bhavani Qualification :M.Tech., Ph.D Specialization : Power Electronics Area of Interest : Power Electronics & Drives, Multilevel Inverters, PWM Schemes. Project Description:

In the present scenario power electronics takes major role with its numerous advantages. In

most of the industrial and domestic applications various types of converters are used . The

Main objective of this project is to improve the power factor at input supply. In this project

it involves an implementation of Boost converter (step up converter)which is normally used

to step up the voltage level and its designing. Initially boost converter is designed to achieve

the phase angle between the applied voltage and resultant current must be almost zero so

that the power factor of the input supply will be improved.

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Future Expansion of the Project: It may be extended further for buck boost converter. Mode of Project: Simulation using MATLAB.

Project Domain : Power Electronics & Drives Project Title : Harmonic Reduction and Power factor improvement using Active Filters. Faculty Name : Dr.J.Bhavani Qualification : M.Tech., Ph.D Specialization : Power Electronics Area of Interest : Power Electronics & Drives, Multilevel Inverters, PWM Schemes. Project Description:

In the present scenario power electronics takes major role with its numerous advantages. In most

of the industrial and domestic applications various types of converters are used .The Main

objective of this project is to improve the power factor and to reduce the harmonics by using

Active power filters. In this project, analysis of Total harmonic distortion will be done for the

reduction of lower order harmonics especially third order harmonics.

Future Expansion of the Project: It may be extended for hardware implementation. Mode of Project: Simulation using MATLAB.

Project Domain : FACTS Project Title : Improvement of power quality in micro grids using advanced active power conditioner Faculty Name : Dr.J.Bhavani Qualification : M.Tech., Ph.D Specialization : Power Electronics Area of Interest : Power Electronics & Drives, Multilevel Inverters, PWM Schemes.

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Now a day’s, power Quality issues are attracting most of the researchers to concentrate more on

the improvement of Power quality. In this Project by making use of FACTS devices the power

quality in micro grids may be improved. For this purpose Active power conditioners are used so

that the improvement in power quality will be achieved.

Future Expansion of the Project: It may be extended for hardware implementation. Mode of Project: Simulation using MATLAB.

Project Domain : Power Systems Project Title : Optimal Capacitor Allocation in Radial Distribution Systems Guide : D. Ravi Kumar Qualification : M. Tech Specialization : Electrical Power Systems Research Interest : Distribution Systems, Reliability


Optimum location and size of capacitors for a distribution system using ETAP is presented. In the present study capacitor sizes are assumed as discrete known variables, which are to be placed on the buses such that it reduces the losses of the distribution system to a minimum. Genetic algorithm will be used as an optimization tool, which obtains the optimal values and location of capacitors and minimizes the objective function. Distribution System load flow is used to calculate power loss and voltage profile of the distribution system. Optimal placement of capacitors in standard distribution test systems will be considered using ETAP

Future Expansion of the Project: The proposed model can be applied to practical distribution systems. Requirement for the Project: ETAP Software.

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Project Domain : Power Systems Project Title : Minimization of Distribution system Losses using Monte Carlo Simulation Guide : D. Ravi Kumar Qualification : M. Tech Specialization : Electrical Power Systems Research Interest : Reliability applications to Power Systems, Deregulation, Distribution Systems, Wavelets


Reliability evaluation of distribution system has been the subject of many research works and is

an important technique for measuring the adequacy of power supply. In the present work, it is

proposed to apply a nonlinear mixed integer optimization model, achieving the optimal sizing

and location of future feeders (reserve feeders and operation feeders) and substations. An

approach using Monte Carlo simulation method to minimize distribution system losses and also

allows reducing the impact of potential contingencies will be developed.

Future Expansion of the Project: The model developed in this research can be applied to practical Radial Distribution System.

Requirement for the Project: MATLAB R2013a/SIMULINK Software.

Project Domain : Power Systems Project Title : Hysteresis Voltage Control Technique in Dynamic Voltage

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Restorer for Power Quality Improvement Guide : D. Ravi Kumar Qualification : M. Tech Specialization : Electrical Power Systems Research Interest : Reliability applications to Power Systems, Deregulation, Distribution Systems, Wavelets Project Description:

Dynamic Voltage Restorer (DVR) is a power custom device used in power distribution network. This paper describes the problem of voltage sags and swells and its severe impact on induction motor loads or sensitive loads. The dynamic voltage restorer (DVR) has become popular as a cost effective solution for the protection of sensitive loads from voltage sags and swells. Power quality is one of the major concerns in the present power system environment. Dynamic Voltage Restorer (DVR) is a modified power apparatus that is utilized to enhance voltage stability i.e. to minimize the power quality problems in electrical power system network. Effectiveness of proposed technique will be investigated through computer simulation. Future Expansion of the Project: The model developed in this research can be applied to practical power system. Requirement for the Project: MATLAB R2013a/SIMULINK Software.

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Project Domain : AI Techniques Project Title : Design of Hybrid Standalone Solar Oven for Indian Community Usage Guide : P. Ramesh Qualification : MTech Specialization : Control Instrumentation Research Interest : AI Techniques, Non Conventional Energy Resources. Project Description:

Here we are proposing the design of Hybrid Standalone Solar Oven, which can be easily adapted to Indian community usage.Solar ovens directly make us of the sunshine for off grid cooking. The construction operation are very simple, safe and most economical. Once the initial purchase, there is no more money spend on electricity or gas. The air is not contaminated with smoke or greenhouse gases. Since solar ovens are used outdoors, unwanted heat will not cause temperature rises indoors as with conventional stoves, saving even more energy. It is a vital instrument for a more comfortable, healthy and better way of life by giving us a feasible alternative, For country sides distressed by famine, war and political turmoil, it is a emergency saviour. In spite of the multifarious and vivid advantages solar oven have not been popular in India due to its fluctuating nature of the source. Cloudy days might make cooking with the sun problematic. In this view solar electric oven considered as a "next generation" solar oven, By providing electric heating back up, cooking can be done even on cloudy days or at night. If the ambient temperature falls below a certain threshold level a thermostat switches on a low-wattage electric heating element to keep the food cooking. Battery Backup Power is generated by an added solar power system. The operational advantages of this method is that the capacity of the furnace can be increased by including more heating elements without increased the electrical operating levels. The system remains electrically safe, less complicated, standalone while meeting the heating requirements for the expanding Indian communities.

Future Expansion of the Project : Commercialization of the product

Requirement for the Project : Enthusiastic approach towards research and Innovation

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Project Domain : AI Techniques Project Title : Design of neuro fuzzy controllers Guide : P. Ramesh Qualification : MTech Specialization : Control Instrumentation Research Interest : AI Techniques.

Project Description: The integration of different learning and adaptation techniques to overcome individual

limitations and to achieve synergetic effects through the hybridization or fusion of these

techniques has, in recent years, contributed to a large number of new intelligent system

designs. Computational intelligence is an innovative framework for constructing intelligent

hybrid architectures involving Neural Networks (NN), Fuzzy Inference Systems (FIS),.

Most of these hybridization approaches, however, follow an ad hoc design methodology,

justified by success in certain application domains.

Various attempts have been made to successfully made to synergize the four different

technologies in whole or in part, to solve problems for which these technologies could not

find solutions individually. Synergy and hybridization has been to overcome the weakness

in one technology during its application, with the strengths of the other by appropriately

integrating them. Due to the lack of a common framework it often remains difficult to

compare the various hybrid systems conceptually and to evaluate their performance

comparatively. More often the complexity surrounding a problems has called for a

judicious combination of the technologies when a technology individually applied has

failed to obtain an efficient solution. Hybridization provides better methods of problem

solving and performance.

The project aims to improve the system performance for linear and nonlinear systems by

the Hybridization techniques. Research introduces the different generic architectures for

integrating intelligent systems. The designing aspects and perspectives of different hybrid

architectures like NN-FIS, Adaptive-FIS, Adaptive -NN, will be studied and implemented.

Future Expansion of the Project:. Design of genetic hybrid controllers

Requirement for the Project : Matlab programming

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Project Domain : AI Techniques Project Title : Design of Energy efficient sensor less Solar tracking Systems based on AI Techniques Guide : P. Ramesh Qualification : MTech Specialization : Control Instrumentation Research Interest : AI Techniques


Here we are proposing the design of Energy efficient sensor less Solar tracking Systems

based on AI Techniques.

Solar trackers are rising in popularity, these are mounted to sun reflecting surfaces, which

automatically move to “track” the progress of the sun across the sky, thereby maximizing

the generated output. Because of the extra sensors and closed loop operations involved, the

cost and complexity s increased. In the context we are proposing sensor less Solar tracking

Systems based on AI Techniques. These trackers will align the reflecting surface to the sun

without any sensor, it will depend on the available data (like, latitude, longitude, day and

time). Based on AI algorithms the output is generated in open loop mode. The

demonstrations are conducted on solar based oven.

These oven are used of off grid cooking, their construction operation are very simple, safe

and most economical. Once the initial purchase, there is no more money spend on

electricity or gas. The air is not contaminated with smoke or greenhouse gases. It is a vital

instrument for a more comfortable, healthy and better way of life by giving us a feasible

alternative. In spite of the multifarious and vivid advantages solar ovens have not been

popular in India due to its fluctuating nature of the source. Cloudy days might make

cooking with the sun problematic. Intelligent sensorless servo drives increases the

efficiency of the heating trapping by adjusting the array of reflectors according to Sun’s

latitude and longitude. In this view solar electric oven considered as a "next generation"

solar oven, by providing electric heating back up, cooking can be done even on cloudy days

or at night. If the ambient temperature falls below a certain threshold level a thermostat

switches on a low-wattage electric heating element to keep the food cooking. Battery

Backup Power is generated by an added solar power system.

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Future Expansion of the Project :. Commercialization of the product Requirement for the Project : Enthusiastic approach towards research and Innovation

Project Domain : AI Techniques Project Title : Solar Tracking System using Artificial Intelligence Guide : P. Ramesh Qualification : MTech Specialization : Control Instrumentation Research Interest : AI Techniques


Renewable energy solutions are becoming increasingly popular. Photovoltaic (solar)

systems are but one example. Maximizing power output from a solar system is desirable

to increase efficiency. In order to maximize power output from the solar panels, one needs

to keep the panels aligned with the sun. As such, a means of tracking the sun is required.

This is a far more cost effective solution than purchasing additional solar panels. It has

been estimated that the yield from solar panels can be increased by 30 to 60 percent by

utilizing a tracking system instead of a stationary array. This project develops an

automatic tracking system which will keep the solar panels aligned with the sun in order

to maximize efficiency. The PC will calculate the Zenith and Azimuth angle of the sun

depending on the Latitude, Longitude and the current time zone. The control system will

rotate the panel up and down and also right to left according to the angles as if panel align

vertically with the solar position. This approach will provide the maximum utilization of

the sun ray to gain the maximum energy. The paper continues with specific design

methodologies pertaining to photocells, stepper motors and drivers, Control System

selection, voltage regulation, physical construction, and a software/system operation

explanation.

Future Expansion of the Project: Solar power generation unit Requirement for the Project: Solar Panels, Light Sensors, Stepper Motor, USB Interfacing system, Concepts of control systems and artificial Intelligence.

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Project Domain : Power Systems Project Title : Review of available transmission capability (ATC) calculation methods Guide : Dr. T. Nireekshana Qualification : Ph. D Specialization : Advanced Power Systems Research Interest : OPF, Congestion Management, ATC, Deregulation Project Description:

The formulation of a Pool co model suitable for power system planning is presented. The

model involves only slight enhancement to existing conventional power system software and

directly enables the calculation of spot prices and a bid based dispatch. Included is a method

for decomposing spot prices to reveal components caused by system congestion. An example

illustrates how financial hedges that are traded in the Pool co scenario will affect system

planning decisions.

Future Expansion of the Project: ATC can be enhanced by different methods. Requirement for the Project: MATLAB 7.5, Mi-power, Power world Simulator software.

Project Domain : Power Systems Project Title : Transmission Congestion Management Guide : Dr. T. Nireekshana Qualification : Ph. D Specialization : Advanced Power Systems Research Interest : OPF, Congestion Management, ATC, Deregulation

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Transmission system congestion in a competitive electricity market refers to the overloading of

lines or transformers due to market settlement. The chances of congestion in the deregulated

market are quite high as compared to the monopolistic market, as the customers would like to

purchase electricity from cheapest available sources. The congestion is undesirable in the system

and should be alleviated for the secure operation of the system. The preferred schedules of

generations of corresponding Scheduling Coordinators (SC) are obtained in Combined

Economic Emission Dispatch (CEED) environment. In this paper, an Evolutionary Programming

(EP) algorithm is proposed to reschedule the generations of SCs according to incremental and

decremented bids to relieve the congestion. The proposed algorithm is demonstrated on IEEE-30

bus and Indian utility-62 bus systems with bilateral and multilateral transactions.

Future Expansion of the Project: Generation Rescheduling method can be used for congestion relief Requirement for the Project: MATLAB 7.5, Mi-power, Power world Simulator software.

Project Domain : Power Systems Project Title : Energy Storage Technologies for Electric Applications Guide : Dr. T. Nireekshana Qualification : Ph. D Specialization : Advanced Power Systems Research Interest : OPF, Congestion Management, ATC, Deregulation Project Description:

Integration of renewable sources in electrical networks has increased dramatically in recent years. However, the power supplied by renewable energy sources is not as secure and easy to adjust to changes in demand, as the power supplied by traditional power systems. As a result, storage devices are also integrated into the electrical network in order to ensure reliability and quality in the performance of the power system. This paper presents the current state of development of various storage technologies proposed for use in electric power systems. Thus, characteristic expressions, specific and comparative data (in technical and economic terms) are shown.

Future Expansion of the Project: Application of energy storage devices in power systems Requirement for the Project: MATLAB 7.5, Mi-power, Power world Simulator software.

Project Domain : Power Systems

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Project Title : Congestion Alleviation in Distribution System using FACTS Devices Guide : Dr. T. Nireekshana Qualification : Ph. D Specialization : Advanced Power Systems Research Interest : OPF, Congestion Management, ATC, Deregulation Project Description:

Congestion management is one of the technical challenges in Power system deregulation. In

deregulated electricity market transmission congestion occurs when there is insufficient

transmission capacity to simultaneously accommodate all constraints for transmission of a line.

Flexible Alternative Current Transmission System (FACTS) devices can be an alternative to

reduce the flows in heavily loaded lines, resulting in an increased loadability, low system loss,

improved stability of the network, reduced cost of production and fulfilled contractual

requirement by controlling the power flow in the network. A method to determine the optimal

location of FACTS has been suggested based on real power Performance Index and reduction

of total system VAR power losses. The simulation results were successfully tested on IEEE 14

bus system.

Future Expansion of the Project: Can be used other FACTS Devices Requirement for the Project: MATLAB 7.5, Mi-power, Power world Simulator software.

Project Domain : Renewable Energy Sources Project Title : Electricity generation using wave power oyster generator Guide : Dr G Naveen Kumar Qualification : M.Tech Specialization : Power Systems Research Interest : Embedded Systems and Power Systems


Wave power is the transport of energy by wind waves, and the capture of that energy to do

useful work for example, electricity generation, water desalination etc or the pumping of

water (into reservoirs). A machine able to exploit wave power is generally known as a

wave energy converter.

Here we are proposing a oyster wave energy converter to produce electricity from ocean/sea

waves.

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Future Expansion of the Project: Can be implemented in real time in ocean or sea waters to harness green electricity. Requirement for the Project : Hardware for wave energy converter

Project Domain : Renewable Energy Sources Project Title : Electricity generation using Biogas Guide : Dr G Naveen Kumar Qualification : Ph.D Specialization : Power Systems Research Interest : Embedded Systems and Power Systems


Renewable energy is on rising peak and utilizing human animal and plant waste to produce

green power is of interest. Biogas typically refers to a mixture of different gases produced by

the breakdown of organic matter in the absence of oxygen. Biogas can be produced from raw

materials such as agricultural waste, manure, municipal waste, plant material, sewage, green

waste or food waste. Electricity production using biogas is interest in this green project.

Future Expansion of the Project: Requirement for the Project: Biogas digesters with turbine generator setup

Project Domain : Renewable Energy Sources Project Title : Induction generator design for small scale power generation in residential utilities Guide : Dr G Naveen Kumar Qualification : Ph.D Specialization : Power Systems Research Interest : Embedded Systems and Power Systems

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An induction generator or asynchronous generator is a type of alternating current (AC) electrical generator that uses the principles of induction motors to produce power. Induction generators operate by mechanically turning their rotors faster than synchronous speed. A regular AC asynchronous motor usually can be used as a generator, without any internal modifications. Induction generators are useful in applications such as mini hydro power plants, wind turbines, or in reducing high-pressure gas streams to lower pressure, because they can recover energy with relatively simple controls. In this project we are proposing induction generators that are capable of getting utilized in small scale power generation strictly for a single residential home which can be installed on a roof top.

Future Expansion of the Project: Requirement for the Project: Mat lab/Simulink.

Project Domain : Renewable Energy Sources Project Title : Electricity generation using oscillating water column Guide : Dr G Naveen Kumar Qualification : Ph.D Specialization : Power Systems Research Interest : Embedded Systems and Power Systems

Project Description: Renewable energy is on rising peak and utilizing ocean and sea water waves to

produce green power is of interest. An oscillating water column (OWC) is a wave energy

converting technology that can be installed onshore preferably on rocky shores near shore or

offshore. The device consists of a large wave capture chamber, a platform for an air turbine, a

lip, wing walls, and an air chamber. All these devices to capture electricity.

Future Expansion of the Project: Can be implemented in real time in ocean or sea waters to

harness green electricity. Requirement for the Project : Hardware for wave energy converter

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Project Domain : Power Electronics and drives Project Title : Speed measurement of a general DC brushed motor based on sensor less method Guide : E.Shiva Prasad Qualification : M.Tech Specialization : Power Electronics Research Interest : Power Electronics and drives Project Description:

DC brushed motor (abbreviated as DC motor later) has some outstanding advantages for example

cheap and control easy compared to other types of motor. It has already been widely used in

industrial machines and household appliances. In many applications of DC motor, the speed of

the DC motor is often a basic required to be measured parameter. To achieve this purpose, a direct

speed measuring method which a speed sensor with suitable dimension or resolution needs to be

coupled with the axis of DC motor and leads to more complicated mechanical structure and control

circuit should be included in equipment. Moreover, if the setup place of the speed sensor is

insufficient, the direct speed measuring method is then not allowed to be used. The current

parameter is one of the independent variables of DC motor. Many important dynamic behaviors of

the DC motor will be characterized by this parameter. In this paper, we will propose a new speed

measurement of DC motor based on a sensor less speed method. In order to verify the feasibility of

our proposed method, we test and compare the measured motor-speed values of electric-spray

pump by using the conventional speed measuring method (couple a speed sensor with rotating axis

of DC motor) and the proposed sensor less speed measuring method, respectively. The

experimental measured results show the method that the speed measurement of DC motor is read

and calculated based on the frequency of ripple component of the motor current is actually

feasible.

Future Expansion of the Project: speed control with different techniques Requirement for the Project : Matlab/simulink software

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Project Domain : DC Machines Project Title : Evaluation of transient response of a separately excited DC motor under no-load Guide : E.Shiva Prasad Qualification : M.Tech Specialization : Power electronics Research Interest : Power electronics and Drives


DC motor is a motor that converts electrical energy (input DC current/voltage) into

mechanical energy (output torque). This paper presents the transient analysis of a separately

excited DC motor which is fed from a variable DC source. It focuses on the simulation of

the DCmotor model using the MATLAB/SIMULINK application to realize and analyze its

transient responses under controlled conditions. The simulated model was used to calculate

the speed (N), torque (T), armature current (Ia) for the motor at transient no-load condition.

Variation of selected DC parameters results to a consequent change in the output

characteristics of the model. These parameters include the field current, armature voltage

and armature circuit resistance.

Future Expansion of the Project: Evaluation of transient response of a separately excited

DC motor under load condition Requirement for the Project : Matlab/simulink software




106

Project Domain : AC Machines Project Title : Optimal PWM controller for an inverter driven induction motor Guide : E.Shiva prasad Qualification : M.Tech Specialization : Power electronics Research Interest : Power electronics and Drives Project Description:

The characteristics of inverter-driven AC-drives mostly depend on the chosen controllers and

the inverter output voltage synthesis. The paper analyses previous techniques, and derives a

digital current controller in field coordinates, in which pulse width modulates the inverter

output voltage. The modulator produces good results under steady-state and transient

conditions. It is applicable with fast transistors or GTO inverters without any modification.

Besides the high efficiency at low switching frequencies, the modulator responds very quickly

to large changes in the drive functioning conditions. The modulator is simple to construct and

can easily be realized on a single chip microprocessor. It reacts faster than the prediction PWM

which is realized on faster signal processors. The average switching frequency of the proposed

modulator is, at equal current harmonic contents, lower than that of any other current

controller PWM except online prediction optimization controllers.

Future Expansion of the Project: Implementation by using different controllers Requirement for the Project : Matlab/simulink software


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Project Domain : AC Machines Project Title : Calculation of slip energy recovery induction motor drive behavior using the equivalent circuit Guide : E.Shiva prasad Qualification : M.Tech Specialization : Power electronics Research Interest : Power electronics and Drives Project Description:

A transformer-type equivalent circuit model for the calculation of the steady state performance of

a slip energy recovery induction motor drive with a step down chopper in the DC link is

described. Experimental data of RMS currents, power, reactive power and overall efficiency

satisfactorily correlate with calculations over most of the operating speed range. Also, detailed

calculations of rotor, stator and supply harmonic currents due to the rectifier and inverter actions

are performed using the conventional version of the equivalent circuit. The computed and

measured instantaneous current waveforms show satisfactory agreement except at a slip of 1/6

where significant deviations appear. This effect is adequately catered for by using a more

rigorous model

Future Expansion of the Project: Implementation of different techniques for Calculation of

slip energy recovery induction motor Requirement for the Project : Matlab/simulink software




108

Project Domain : Power Electronics Project Title : Selective Harmonic Elimination of Cascaded Multilevel Invert using BAT algorithm Guide : B.GANESH BABU Qualification : M. Tech Specialization : Power Electronics Research Interest : Power Electronic Applications in Renewable Energy Systems Project Description:

There are several procedures to solve the selective harmonic elimination (SHE) problem. In this

paper, the elimination of undesired harmonics in a multilevel inverter with equal DC sources by

using bat evolutionary optimization method is presented. SHE is an efficient method for

achieving the desired fundamental component and eliminating selection harmonics. The recently

developed evolutionary optimization method named BAT algorithm is used to solve the nonlinear

transcendental equations of

SHE problem. To verify the presented method accuracy, simulation and experimental results are

provided for a 7-level cascaded multi-level inverter. The feasibility and effectiveness of the

proposed algorithm is evaluated with intensive simulation. The obtained results show that the

BAT algorithm is more efficient than Bee algorithm (BA) and Genetic algorithm (GA) in

eliminating the selective harmonics which cause the lower total harmonic distortion (THD) in the

output voltage.

Future Expansion of the Project:. To design the efficient controller for solar inverter. Requirement for the Project : mat lab

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Project Domain : Smart grids Project Title : Grid Connected Multilevel Inverter for Renewable Energy Applications Guide : B.GANESH BABU Qualification : M. Tech Specialization : Power Electronics Research Interest : Power Electronic Applications in Renewable Energy Systems Project Description:

Electrical energy generation from renewable energy sources such as sun, wind etc., are

widely adopted due to the increase in electricity consumption. The integration of renewable

energy sources with the grid plays an important role in energy utilization.It is difficult to

utilize electricity from renewable energy sources directly for the injection of power into the

grid. Hence the system needs power electronic converters as an interface between renewable

energy sources and grid/load. This paper discusses about the integration of three phase six

level voltage source inverter into the grid. Three phase 2000 VA inverter is designed byusing

three, single phase eight switch six level inverters (in quarter cycle) and each single phase

inverter uses three DC voltage sources which can be derived from renewable energy sources

such as solar, wind and fuel cell. The pure sinusoidal 415V three phase voltage is obtained

from inverter to inject the power into grid and to the three phase resistive load. The proposed

three phase Multi Level Inverter (MLI) is compared with the conventional three phase

inverter and the observed THD of the conventional MLI is 31%. THD of the proposed MLI

output voltage is analyzed which is 0.13% and found to be very less compared to six and 12

pulse conventional converter topologies. The simulation on the proposed inverter topology is

done inMATLAB/Simulink and the results are verified.

Future Expansion of the Project: The proposed system is found to be well suited for the interface of different types of renewable energy sources (hybrid) and the grid. Requirement for the Project : mat lab

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Project Domain : Renewable Energy Systems Project Title : Harmonic elimination in diode-clamped multilevel inverter using evolutionary algorithms Guide : B.GANESH BABU Qualification : M. Tech Specialization : Power Electronics Research Interest : Power Electronic Applications in Renewable Energy Systems


This project describes two evolutionary algorithms for the optimized harmonic stepped–

waveform technique. Genetic algorithms and particle swarm optimization are applied to

compute the switching angles ina three-phase seven-level inverter to produce the required

fundamental voltage while, at the same time, specified harmonics are eliminated. Furthermore,

these algorithms are also used to solve the starting point problem of the Newton-Raphson

conventional method. This combination provides a very effective method for the harmonic

elimination technique. This strategy is useful for different structures of seven-level inverters.

The diode-clamped topology is considered in this study.

Future Expansion of the Project: The present study can be extended easily to any number of levels and can be applied to other multilevel inverter topologies. Requirement for the Project : Matlab

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Project Domain : Smart grids and RES Project Title : Harmonic Elimination in Cascade Multilevel Inverter with Non Equal DC Sources using Genetic Algorithm Guide : B.GANESH BABU Qualification : M. Tech Specialization : Power Electronics Research Interest : Power Electronic Applications in Renewable Energy Systems Project Description:

The elimination of harmonics in a cascaded multilevel inverter by considering the un-equality of

separated dc sources by using Genetic and Differential Evolutionary Algorithm and compared.

Solving a nonlinear transcendental equation set describing the harmonic-elimination problem with

non-equal dc sources reaches the limitation of contemporary computer algebra software tools using

the resultant method. The proposed approach in this project can be applied to solve the problem in

a simpler manner, even when the number of switching angles is increased and the determination of

these angles using the resultant theory approach is not possible. Theoretical results are verified by

simulations results for an 11-level H-bridge inverter. Results show that the proposed method does

effectively eliminate a great number of specific harmonics, and the output voltage is resulted in low

total harmonic distortion.

Future Expansion of the Project: extended for higher levels Requirement for the Project : Matlab

112

Project Domain : Power Electronics and Drives Project Title : Simulation Investigation of SPWM, THIPWM Techniques for Three Phase Voltage Source Inverter Guide : M.Ranjit ,Asst.Professor Qualification : M. Tech,(Ph.D) Specialization : Power Electronics and Industrial Drives Research Interest : Electrical Drives, Multilevel Inverters Project Description:

Pulse width modulation (PWM) technique is one of the vital issues for power electronic circuit

control. A number of Pulse width modulation (PWM) techniques are increasingly applied in

many new industrial applications that require superior performance. The most widely applied

PWM technique for three-phase voltage source inverters are Sine Pulse Width Modulation

(SPWM), Third Harmonic Injection Pulse Width Modulation (THIPWM) and Space Vector Pulse

Width Modulation (SVPWM). SPWM is the most simple modulation technique that can realize

easily in analog circuit. However, it has some drawbacks such as higher total harmonic distortion

(THD), lower switching frequency and not capable in over modulation region. THIPWM and

SVPWM both provide better THD compared to SPWM. SVPWM shows lower THD in over

modulation region and in high frequency application compared to THIPWM .In this proposed

work different PWM techniques are to be analyzed, and compared. To validate the proposed

work numerical simulations are to be carried in MATLAB/SIMULINK environment .The results

are to be compared for different modulation indexes.

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Future Expansion of the Project: The proposed algorithms could be implemented using DSP –

DSPACE kit. Requirement for the Project : MATLAB Software,dspace kit

Project Domain : Power Electronics and Drives Project Title : Speed Control of Induction Motor using Scalar Control Technique Guide : M.Ranjit, Asst.Professor Qualification : M. Tech,(Ph.D) Specialization : Power Electronics and Industrial Drives Research Interest : Electrical Drives, Multilevel Inverters Project Description:

In this proposed work, design and implementation of scalar control of induction motor is to be

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implemented... This method leads to be able to adjust the speed of the motor by control the

frequency and amplitude of the stator voltage of induction motor, the ratio of stator voltage to

frequency should be kept constant, which is called as V/F or scalar control of induction motor

drive. In the proposed work, open loop and close loop V/F control induction motor is to be

analyzed. To validate the proposed work numerical Simulations is to be carried out in

MATLAB/SIMULINK environment and results are compared for speed control of induction

motor.

Future Expansion of the Project: The proposed work might be implemented using DSP – DSPACE kit. Requirement for the Project : MATLAB Software

Project Domain : Power Electronics and Drives Project Title - 1 : A space-vector modulation scheme for a four-level dual inverter fed open-end winding induction motor drive Guide : M.Ranjit ,Asst.Professor Qualification : M. Tech,(P.h.D) Specialization : Power Electronics and Industrial Drives

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Research Interest : Electrical Drives, Multilevel Inverters Project Description:

A four-level inverter drive could be obtained by feeding an open-end winding induction motor

by two two-level inverters from either side with unequal dc-link voltages, which are in the

ratio of 2:1. This inverter modulation scheme is capable of producing 64 space-vector

combinations distributed over 37 space-vector locations Isolated DC power supplies are

employed to avoid the zero-sequence currents. In this proposed work, a space vector PWM

switching scheme for the dual inverter fed open-end winding induction motor drive is

employed. Instantaneous three phase reference voltages are required to implement this PWM,

which does not requires any sector identification. To validate the proposed work v/f control of

induction motor is to be implemented in MATLAB/SIMULINK environment .The results are

to be compared for different modulation indexes.

Future Expansion of the Project:. The proposed algorithms could be implemented using DSP

– DSPACE kit. Requirement for the Project : MATLAB Software,dspace kit

Project Domain : Power Electronics and Drives Project Title : Minimum Switching Loss PWM Algorithms for Three-Phase voltage Source Inverter Fed Induction Motor Drives Guide : M.Ranjit, Asst.Professor Qualification : M. Tech,(Ph.D) Specialization : Power Electronics and Industrial Drives Research Interest : Electrical Drives, Multilevel Inverters

116


In this proposed abstract, a detailed analysis of the switching loss characteristics of various

existing discontinuous PWM (DPWM) algorithms are to be developed, which use only one zero

state and advanced DPWM (ADPWM) algorithms which use only one zero state with active

state division. These DPWM algorithms reduce the switching losses at any operating conditions

when compared with conventional space vector PWM (CSVPWM). Moreover, to reduce the

complexity involved in the conventional space vector approach, the proposed PWM algorithms

are to be developed by using the concept of imaginary switching times. By analyzing the

switching loss characteristics, the minimum switching loss PWM algorithms are to be developed

for induction motor drives. The theoretical evaluation is to be validated through the numerical

simulation studies.

Future Expansion of the Project:. The proposed DPWM algorithms might be implemented using DSP –DSPACE kit. Requirement for the Project : MATLAB Software

Project Domain : Power systems Project Title : Very Fast Transient Overvoltage’s generated by Gas Insulated Substations Guide : M Naga jyothi Qualification : M.Tech Specialization : Power Systems Research Interest : Power systems Project Description: Very fast transient over voltages (VFTO) are caused by disconnector switching operations within a gas insulated substation (GIS). The very fast transient over voltages contains very high frequency components in the order of several 10psilas of MHz and may cause high frequency oscillations in the transformer windings, leading to possible overstressing of the transformer insulation. By modeling a gas insulated substation as very short transmission lines with an electromagnetic transient programme it is possible to predict the magnitude of these fast transients and their high frequency components. In this project, EMTDC will be used to model the switching operation of disconnectors in a GIS installation. Future Expansion of the Project : VFTOs at various equipment( Transformers, lines, bushings) in GIS will be studied Requirement for the Project : EMTP software

117

Project Domain : Power systems Project Title : From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub Guide : M Naga Jyothi Qualification : M.Tech Specialization : Power Systems Research Interest : Power systems


The proliferation of technologies such as combine heat and power systems has

accelerated the integration of energy resources in energy hubs. Besides, the advances in

smart grid technologies motivate the electricity utility companies toward developing

demand response (DR) programs to influence the electricity usage behavior of the

customers. In this project, it is proposed to modify the conventional DR programs in

smart grid to develop an integrated DR (IDR) program for multiple energy carriers fed

into an energy hub in smart grid, namely a smart energy (S E.) hub. In our model, the

IDR program is formulated for the electricity and natural gas networks. The interaction

among the S. E. hubs will be modeled as an ordinal potential game with unique Nash

equilibrium. Besides, a distributed algorithm will be developed to determine the

equilibrium. In Simulation results it is identified that in addition to load shifting, the

customers in the S. E. hubs can participate in the IDR program by switching the energy

resources (e.g., from the electricity to the natural gas) during the peak hours. Moreover,

the IDR program can increase the S. E. hubs’ daily payoff and the utility companies’

daily profit.

Future Expansion of the Project : Based on simulation results hardware model will be developed Requirement for the Project : MATLAB software

118

Project Domain : Power systems Project Title : Optimal Power Flow Analysis of a Distributed Generation System Guide : M Naga Jyothi Qualification : M.Tech Specialization : Power Systems Research Interest : Power systems Project Description:

This project describes the mathematical modelling of the optimal power flow problem.

The purpose is to optimize the power flow for a whole day, for a system in which several

distributed generators (DGs) have been added. There are two objective functions which

are minimized, the generation cost and the total power losses of the system, while

satisfying equality and inequality constraints. The optimization is performed for different

DGs and load scale factors. The other generators from the system have a 1 scale factor.

Future Expansion of the Project : Various Intelligent methods(PSO,CSO,GA,ANN,FUZZY) can be applied to solve this problem Requirement for the Project : ETAP software

119

Project Domain : Power Electronics Project Title : Quasi-Z-Source Inverter With Reduced Capacitance Using

Modified Modulation and Double-Frequency Ripple Suppression Control

Guide : Manjeera.Ch Qualification : M.Tech Specialization : Power Electronics Research Interest : Power Electronics and RES


In single-phase photovoltaic (PV) system, there is double-frequency power mismatch

existed between the dc input and ac output. The double-frequency ripple (DFR) energy

needs to be buffered by passive network. Otherwise, the ripple energy will flow into

the input side and adversely affect the PV energy harvest. In a conventional PV system,

electrolytic capacitors are usually used for this purpose due to their high capacitance.

However, electrolytic capacitors are considered to be one of the most failure prone

components in a PV inverter. In this paper, a capacitance reduction control strategy is

proposed to buffer the DFR energy in single-phase Z-source/quasi-Z-source inverter

applications.. The increased switching device voltage stress and power loss due to the

proposed control strategy will also be discussed.

Future Expansion of the Project: Hardware Implementation of 1KW PV system Requirement for the Project :

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Project Domain : Power Electronics Project Title : Comparision of wavelet based control technique with

different control techniques for Three phase-Z-Source Inverter Guide : Manjeera.Ch Qualification : M.Tech Specialization : Power Electronics Research Interest : Power Electronics and RES


Comparision of Wavelet based Three phase-Z-Source inverter with different control

techniques in terms of voltage stress across devices, output voltage and Total harmonic

distortion.

Future Expansion of the Project: Hard ware implementation of wavelet based Three

Phase Z-source Inverter Requirement for the Project :

Project Domain : Power Electronics Project Title : High-Gain Single-Stage Boosting Inverter for Photovoltaic Applications Guide : Manjeera.Ch Qualification : M.Tech Specialization : Power Electronics Research Interest : Power Electronics and RES

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This work introduces a high-gain single-stage boosting inverter (SSBI) for alternative

energy generation. As compared to the traditional two-stage approach, the SSBI has a

simpler topology and a lower component count. One cycle control was employed to

generate ac voltage output.

Future Expansion of the Project: Requirement for the Project : To avoid conventional two stage approach in RES.

Project Domain : Power Electronics Project Title : Constant Boost Control of the Z-Source Inverter to Minimize

Current Ripple and Voltage Stress Guide : Manjeera.Ch Qualification : M.Tech Specialization : Power Electronics Research Interest : Power Electronics and RES Project Description : This work proposes two constant boost-control methods for the Z-source inverter, which

can obtain maximum voltage gain at any given modulation index without producing any

low-frequency ripple that is related to the output frequency and minimize the voltage

stress at the same time. Thus, the Z-network requirement will be independent of the

output frequency and determined only by the switching frequency. The relationship of

voltage gain to modulation index is analyzed in detail and verified by simulation.

Future Expansion of the Project : Requirement for the Project : To reduce the voltage stress across switches in Z

source inverter.

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Project Domain : Power Electronics and Machines Project Title : Modeling and Analysis of the Bendable Transformer Guide : G.C.Prabhkar Qualification : M.E Specialization : Power Electronics and Drives Research Interest : Power Converters


This project focused on study of a bendable transformer for wearable electronics. Printed

on a thin and bendable film, this transformer is bendable to wrap around body limbs such

as the forearm. A model using a partial equivalent circuit theory has to be developed to

analyze the characteristic of an inductor and a bendable transformer. The mutual

inductance and self-inductance for the bendable transformer over a range of bent

curvatures has to be calculated based on the model and compared favorably with

measurements.

Future Expansion of the Project: Requirement for the Project : MATLAB SOFTWARE

Project Domain : Power Electronics Project Title : Static Regulated Multistage Semiactive LED Drivers for High- Efficiency Applications Guide : G.C.Prabhkaar Qualification : M.E Specialization : Power Electronics and Drives Research Interest : Power Converters

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Semi active light-emitting diode (LED) drivers with high efficiency that regulate LED power

statically against source voltage variation are proposed. By adopting multistage switching

circuits in the proposed LED driver, the number of operating LED strings in series is

appropriately selected according to the source voltage variation, which results in slow

regulation of the LED power. A detailed procedure for selecting hysteresis control of the

proposed LED driver with an LC3 input filter will be established. A prototype five-stage LED

driver of 100-W class was will be implemented

Future Expansion of the Project:. Requirement for the Project : MATLAB SOFTWARE

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Project Domain : Power Electronics Project Title : Efficient Transformer less MOSFET Inverter for a Grid-Tied Photovoltaic System Guide : G.C.Prabhkaar Qualification : M.E Specialization : Power Electronics and Drives Research Interest : Power Converters Project Description:

The unipolar sinusoidal pulse width modulation fullbridge transformerless photovoltaic (PV)

inverter can achieve high efficiency by using latest super junction metal–oxide–

semiconductor field-effect transistor (MOSFET) together with silicon carbide (SiC) diodes.

However, the MOSFETs are limited to use in transformer less PV inverter due to the low

reverse-recovery characteristics of the body diode. In this proposed project, a family of new

transformerless PV inverter topology for a single-phase grid-tied operation is proposed using

superjunction MOSFETs and SiC diodes as no reverse-recovery issues are required for the

main power switches for unity power operation. The added clamping branch clamps the

freewheeling voltage at the half of dc input voltage during the freewheeling period. As a

result, the common-mode voltage kept constant during the whole grid period that reduces the

leakage current significantly. In addition, dead time is not necessary for main power switches

at both the high-frequency commutation and the grid zero crossing instant, results low-

current distortion at output.

Future Expansion of the Project:. Requirement for the Project : MATLAB SOFTWARE

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Project Domain : Smart and zero net enery homes Project Title : Internet based control of home appliances using arduino and GSM module Guide : D.S.G.Krishna Qualification : M.Tech Specialization : Power systems& Power Electronics Research Interest : Dynamic simulation of Powersystems, Smartgrid & Microgrid, DC Homes Project Description:

This proposed project is a basic with advancement of Automation technology, life is getting

simpler and easier in all aspects. In today’s world Automatic systems are being

preferred over manual system. With the rapid increase in the number of users of internet

over the past decade has made Internet a part and parcel of life, and IoT is the latest and

emerging internet technology. Internet of things is a growing network of everyday

object-from industrial machine to consumer goods that can share information and complete

tasks while you are busy with other activities. Wireless Home Automation

system(WHAS) using IoT is a system that uses computers or mobile devices to

control basic home functions and features automatically through internet from

anywhere around the world, an automated home is sometimes called a smart home. It is

meant to save the electric power and human energy. The home automation system

differs from other system by allowing the user to operate the system from anywhere around

the world through internet connection.

Future Expansion of the Project:. Practically implemented using Android App. Requirement for the Project : Arduino, Ethernet module

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Project Domain : Renewable Energy fed Distribution Systems Project Title - 2 : Grid Interconnection of Renewable Energy Sources at the Distribution Level. Guide : D.S.G.Krishna Qualification : M.Tech Specialization : Power systems& Power Electronics Research Interest : Dynamic simulation of Powersystems, Smartgrid & Microgrid Project Description:

Renewable energy resources (RES) are being increasingly connected in distribution

systems utilizing power electronic converters. This paper presents a novel control strategy

for achieving maximum benefits from these grid-interfacing inverters when installed in 3-

phase 4-wire distribution systems. The inverter is controlled to perform as a multi-

function device by incorporating active power filter functionality. The inverter can thus be

utilized as: 1) power converter to inject power generated from RES to the grid, and 2)

shunt APF to compensate current unbalance, load current harmonics, load reactive power

demand and load neutral current. All of these functions may be accomplished either

individually or simultaneously. With such a control, the combination of grid-interfacing

inverter and the 3-phase 4-wire linear/non-linear unbalanced load at point of common

coupling appears as balanced linear load to the grid. This new control concept is

demonstrated with extensive MATLAB/Simulink simulation studies and validated

through digital signal processor-based laboratory experimental results.

Future Expansion of the Project: Practically can be implemented for a scaled down DC micro grid. Requirement for the Project : Matlab/Simulink, Arduino and component

selection

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Project Domain : Renewable Energy fed Distribution Systems Project Title - 1 : DC Microgrid for super high quality distribution system Configuration and control of distributed generation. Guide : D.S.G.Krishna Qualification : M.Tech Specialization : Power systems& Power Electronics Research Interest : Microgrid Project Description:

DC micro-grid is a novel super high quality electric power system. The power is

transmitted through dc distribution line and converted to required ac or dc voltages

by converters placed near loads. The DC distribution system is suitable for DC

output generations like Photovoltaics and Fuel cells. Those load side converters do

not need transformers by choosing proper dc distribution voltage (plusmn170 V). The

dc power line is composed of 3 wires: +170 V line, neutral line and -170 V line. The

distribution voltages have to be balanced to keep high quality power supplying. In

this project, a voltage balancer for dc distribution are proposed. Computer simulation

results will demonstrate that dc micro-grid was able to supply both ac and dc power

to loads simultaneously and stably by 3-wire dc distribution line and load side

converters. In addition, another voltage balancer (dc/dc converter type) is also

proposed and will be studied.

Future Expansion of the Project:. Practical implementation for 4 house system. Requirement for the Project : Matlab/Simulink

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Project Domain : Dynamic simulation of Power system Project Title : Model validation and Employing field measurements in Large scale Power systems Guide : D.S.G.Krishna Qualification : M.Tech Specialization : Power systems& Power Electronics Research Interest : Dynamic simulation of Powersystems, Smartgrid & Microgrid Project Description:

Model validation has been one of the central topics in power engineering studies for

years. As model validation aims at obtaining reasonable models to represent actual

behavior of power system components, it has been essential to validate models against

actual measurements or known benchmark behavior. System-wide model simulation

results can be compared with actual recordings. However, it is difficult to construct a

simulation case for a large power system such as the WECC system and to narrow down

to problematic models in a large system. Hybrid dynamic simulation with its capability of

injecting external signals into dynamic simulation enables rigorous comparison of

measurements and simulation in a small subsystem of interest. This paper presents such a

model validation methodology with hybrid dynamic simulation. Two application

examples on generator and load model validation are presented to show the validity of this

model validation methodology. This methodology is further extended for automatic model

validation and dichotomous subsystem model validation. A few methods to define model

quality indices have been proposed to quantify model error for model validation criteria

development.

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Future Expansion of the Project:. Verification of various Power systems like Indian & US. Requirement for the Project : Matlab/Simulink, PSSE

Project Domain : Protection of electric machine Project Title - 1 : Arduino based Relay- Circuit breaker for protection of electric machine Guide : S.Poornima Qualification : M.Tech Specialization : Electrical Power systems Research Interest : Power system Protection, DSP, Smart grid

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A power transformer protective relay must rapidly operate the tripping during

internal faults and block the tripping during magnetizing inrush currents. We want

to build a arduino based pre programmable relay for inrush current extraction,

which may be implemented in digital relaying for transformer differential

protection.

Future Expansion of the Project:. Practical implementation using DSP Programming. Requirement for the Project : ATP/EMTP, Matlab/Simulink, Weka

Project Domain : FACTS Project Title : Fast Voltage Stability Index for the improvement of Voltage stability. Guide : S.Poornima Qualification : M.Tech Specialization : Electrical Power systems Research Interest : Power system Protection, DSP, Smart grid Project Description:

Flexible AC transmission systems (FACTS) are a recent technological

development in electrical power systems. It builds on the great many advances

achieved in high current, high power semi conductor device technology, digital

control and signal conditioning. Fast Voltage Stability Index is proposed in this

project to use in coordination with FACTS devices to find weak bus in power

system.

Future Expansion of the Project:. Extension to Large Power systems. Requirement for the Project : Matlab

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Project Domain : Power system protection Project Title : Inrush Current Detection Based On Wavelet Transform and Probabilistic Neural Network Guide : S.Poornima Qualification : M.Tech (Ph.d.) Specialization : Electrical Power systems Research Interest : Power system Protection, DSP, Smart grid Project Description: In this project an efficient method for detection of inrush

current in distribution transformer based on wavelet transform will be presented. This method uses Wavelet Transform (WT) and Probabilistic Neural Network (PNN) to discriminate inrush current from other transients such as capacitor switching, load switching and single phase to ground fault. WT will be used for decomposition of signals and PNN for classification. Inrush current data and other transients are obtained by simulation using EMTP program. Results will be expected in such a manner proposed procedure is efficient in identifying inrush current from other events.

Future Expansion of the Project:. Practical implementation using DSP Programming.

Requirement for the Project : ATP/EMTP, MATLAB/Simulink, Weka

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Project Domain : Artificial intelligence and Protection of electrical machines Project Title : Arduino based Artificial intelligent controller for protection of electrical machine Guide : S.Poornima Qualification : M.Tech (Ph.d) Specialization : Electrical Power systems Research Interest : Power system Protection, ANN, Smart grid Project Description:

Inrush currents in power transformers are nonsinusoidal, high magnitude currents

generated due to flux saturation in the core during energization. This project developes a

decision making controller for discrimination between internal faults and inrush currents

in power transformers using the wavelet transform based feature extraction technique. It

will be shown that the features extracted by the wavelet transform have a more distinctive

property than those extracted by the fast Fourier transform due to the good time and

frequency localization characteristics of the wavelet transform. Arduino micro controller

will be trained to distinguish inrush and internal fault.

Future Expansion of the Project:. Practical implementation using Arduino micro controller.

Requirement for the Project : Weka, Arduino

Project Domain : Power Electronics Project Title : Design and simulation of Four quadrant operation of DC Motor Guide : R. Geshma Kumari Qualification : M.Tech Specialization : Power Electronics and Industrial Drives Research Interest : Power Electronic and DC drives Project Description:

A dc motor can be operated in either direction in either of the two modes, the two modes

being the motoring mode and the regenerating mode. It can be seen that the motor can

operate in any of the four quadrants and the armature of the dc motor in a fast four-

quadrant drive is usually supplied power through a chopper.

Future Expansion of the Project: Above mentioned proposal can be extended to all types of DCM Requirement for the Project : Basic Knowledge about chopper and DCM

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Project Domain : Power Electronics Project Title : Design and Performance of a Bidirectional Isolated DC–DC Converter Guide : R. Geshma Kumari Qualification : M.Tech Specialization : Power Electronics and Industrial Drives Research Interest : Power Electronic and DC drives Project Description:

Designing of full-bridge, bidirectional isolated dc–dc converter .The maximal

efficiency of the dc–dc converter is to be measured .To improve the efficiency of

dc-dc converter switching losses has to e reduced.

Future Expansion of the Project: Above mentioned proposal can be extended to

improve maximum efficiency Requirement for the Project : Basic Knowledge about chopper and different

switching techinques.

Project Domain : Power electronics Project Title : Optimization of PI Controller using PSO for Power Electronic Converter Guide : R. Geshma Kumari Qualification : M.Tech Specialization : Power Electronics and Industrial Drives Research Interest : Power Electronic and DC drives Project Description

DC-DC converters are widely used in application such as computer peripheral power

supplies, car auxiliary power supplies and medical equipment’s. Positive output

elementary Luo converter performs the conversion from positive source voltage to

positive load voltage. Due to the time- varying and switching nature of the power

electronic converters, their dynamic behavior is highly non-linear. Conventional

controllers are incapable of providing good dynamic performance and hence optimized

techniques have been developed to tune the PI parameter.

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Future Expansion of the Project: This can be extended by using different adaptive techniques. Requirement for the Project : Basic knowledge about the PSO and DC-DC

converter.

Project Domain : Power Electronics Project Title : Model Based Adaptive Direct Power Control for Three-Level NPC Converters Guide : R. Geshma Kumari Qualification : M.Tech Specialization : Power Electronics and Industrial Drives Research Interest : Power Electronic and DC drives

Project Description

A Model Based Adaptive Direct Power Control (MB-ADPC) with constant switching

frequency for Three-Phase Three-Level Neutral Point Clamped (3L-NPC) converters can

be implemented. The rectifier and inverter operation mode are used to illustrate the

flexibility of the proposed MB-ADPC controller. The control design process is based on

the continuous averaged model of the system. The proposed controller ensures the voltage

regulation of the dc-link capacitors for the rectifier operation mode and to achieve voltage

balance in the dc-link capacitors and the active and reactive power tracking for the

rectifier and inverter operation modes.

Future Expansion of the Project: This can be extended by using different adaptive techniques. Requirement for the Project : Basic knowledge about the ADPC and 3L-NPC

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Project Domain : Power Electronics – Renewable energy conversion Project Title : Hardware Implementation of FPGA based Controller for

Multi Level Inverter Guide : Y Srikanth Reddy Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications Project Description:

Medium voltage motor drives and utility applications require medium voltage and megawatt

power level. For a medium voltage grid, it is troublesome to connect only one power

semiconductor switch directly. As a result, multilevel power inverter structure has been

introduced as an alternative in high power and medium voltage situations. A multilevel

inverter not only achieves high power ratings, but also enables the use of renewable energy

sources. Renewable energy sources such as photovoltaic, wind, and fuel cells can be easily

interfaced to a multilevel inverter system for a high power application.

To obtain close to sinusoidal output waveform which minimizes low order harmonics and

ability to reduce the voltage stress on each power device due to the utilization of multiple

levels on the DC bus multilevel inverters provide a viable solution for the control of electric

drives.

To analyze Multi Level Inverters for industrial applications using FPGA implementation and

also to increase reliability of the system with less hardware complexity and cost.

Requirement for the Project : Hard ware requirements :

1 Inverter model design 2 Development of FPGA based controller 3 Code development using VHDL 4 Hardware Implementation

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Project Domain : Power Electronics – Renewable energy conversion Project Title : Optimization Techniques used for reconfiguration of Solar PV array system Guide : Y Srikanth Reddy Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications Project Description:

The wind and solar energy are omnipresent, freely available, and environmental friendly. The wind energy systems may not be technically viable at all sites because of low wind speeds and being more unpredictable than solar energy. The combined utilization of these renewable energy sources are therefore becoming increasingly attractive and are being widely used as alternative of oil-produced energy. Economic aspects of these renewable energy technologies are sufficiently promising to include them for rising power generation capability in developing countries. A renewable hybrid energy system consists of two or more energy sources, a power conditioning equipment, a controller and an optional energy storage system. These hybrid energy systems are becoming popular in remote area power generation applications due to advancements in renewable energy technologies and substantial rise in prices of petroleum products. Research and development efforts in solar, wind, and other renewable energy technologies are required to continue for, improving their performance, establishing techniques for accurately predicting their output and reliably integrating them with other conventional generating sources. The aim of this paper is to review the current state of the design, operation and control requirement of the stand-alone PV solar–wind hybrid energy systems with conventional backup source i.e. diesel or grid. This Paper also highlights the future developments, which have the potential to increase the economic attractiveness of such systems and their acceptance by the user.

138

Project Domain : Power Electronics – Renewable energy conversion Project Title : Design and Implementation of Three-Level DC-DC Converter with Golden Section Search Based MPPT for the Photovoltaic Applications Guide : Y Srikanth Reddy Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications


In many photovoltaic (PV) energy conversion systems, nonisolated DC-DC converters with

high voltage gain are desired. The PV exhibits a nonlinear power characteristic which greatly

depends on the environmental conditions. Hence in order to draw maximum available power

various algorithms are used with PV voltage/current or both as an input for the maximum

power point tracking (MPPT) controller. In this paper, golden section search (GSS) based

MPPT control and its application with three-level DC-DC boost converter for MPPT are

demonstrated. The three-level boost converter provides the high voltage transfer which

enables the high power PV system to work with low size inductors with high efficiency. The

balancing of the voltage across the two capacitors of the converter and MPPT is achieved

using a simple duty cycle based voltage controller. Detailed simulation of three-level DC-

DC converter topology with GSS algorithm is carried out in MATLAB/SIMULINK

platform. The validation of the proposed system is done by the experiments carried out on

hardware prototype of 100 W converter with low cost AT’mega328 controller as a core

controller. From the results, the proposed system suits as one of the solutions for PV based

generation system and the experimental results show high performance, such as a conversion

efficiency of 94%.

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Project Domain : High Voltage Engineering Project Title : Impact of Transformer Model Parameters of High frequency Guide : O.Sobhana Qualification : M.Tech Specialization : Power Electronics and Industrail Drives Research Interest : High voltage Engineering, Power Transformers


This paper investigates the impact of parameters variation of a high frequency transformer

model based on distributed parameters approach, The concept of Frequency Response

Analysis (FRA) has been successfully used as a diagnostic technique to detect winding

deformation, core and clamping structure for power transformers.

Future Expansion of the Project:. to establish a standard code for FRA signature. Requirement for the Project : MATLAB/SIMULATION

Project Domain : Power Electronics – Renewable energy conversion Project Title : Advanced Control Architectures for Intelligent Microgrids- Part II: Power Quality, Energy Storage, and AC/DC Microgrids Guide : Y Srikanth Reddy Qualification : M.Tech Specialization : Power Electronics Research Interest : Power electronics and its applications Project Description:

This paper summarizes the main problems and solutions of power quality in micro grids,

distributed-energy-storage systems, and ac/dc hybrid micro grids. First, the power quality

enhancement of grid-interactive micro grids is presented. Then, the cooperative control for

enhance voltage harmonics and unbalances in micro grids is reviewed. Afterward, the use of

static synchronous compensator (STATCOM) in grid-connected micro grids is introduced in

order to improve voltage sags/swells and unbalances. Finally, the coordinated control of

distributed storage systems and ac/dc hybrid micro grids is explained.

140

Project Domain : High Voltage Engineering Project Title : Detection of transformer winding deformations based on the T.F Guide : O.Sobhana Qualification : M.Tech Specialization : Power Electronics and Industrail Drives Research Interest : High voltage Engineering, Power Transformers Project Description:

Improvement of diagnostic methods for both power and distribution transformers is

crucial considering the part they play in electrical networks as well as their cost. Transfer

function based testing of transformers is one of the methods that has been introduced

recently. This method enables the identification of winding deformations resulting from

the short circuit currents and winding dislocations occurring during transportation, and

can also be used to assess the state of electrical insulation. The methods of measurement

of the transfer functions as well as the numerical simulations are aiming at determining

the sensitivity of this method and to develop recognition criteria with regard to the type

and range of the deformations.

Future Expansion of the Project: Implementation of deformations by using coherence function. Requirement for the Project : MATLAB/SIMULATION

Project Domain : High voltage Engineering Project Title : Fault Detection and Protection of Transformer by Using Microcontroller Guide : O.Sobhana Qualification : M.Tech Specialization : Power Electronics and Industrail Drives Research Interest : High voltage Engineering, Power Transformers

Project Description: This paper presents a novel digital technique for transformer protection.This paper describe

the fault detection and protection of transformer .The transformer is a key element in

electrical power system .Proper protection is needed for economical and safe operation in

electrical power system .Transformer protective relay should be sense the fault occurs in

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transformer and trip the circuit during internal fault measuring. This study describe the

design and implementation of microcontroller based system for protecting transformer.

Future Expansion of the Project:. Implementation using Neural Networks Requirement for the Project : Micro controller, keil software

Project Domain : Power Electronics Project Title : Performance analysis of Induction motor in MATLAB Guide : O.Sobhana Qualification : M.Tech Specialization : Power Electronics and Industrail Drives Research Interest : High voltage Engineering, Power Transformer


It was made possible to develop and produce systems based on induction motors to get a

control over the transient and steady state .To get the system working in control based we

analysis the Stability and dynamic of an open loop Induction motor performed by

employing the root-locus and also by obtaining the motor transfer functions in different

working states. The induction motor stability in any steady state operation point is defined

by selecting the motor parameters the dynamic response differs according to the inputs

and load torque of the motor.

Future Expansion of the Project: Requirement for the Project : MATLAB

142

Project Domain : Hybrid-Electric vehicles Project Title : Stability of a dc Distribution System for Power System Integration of Plug-In Hybrid Electric Vehicles. Guide :Amarnath Reddy.N Qualification : M.E Specialization : AUTOMOTIVE ENGINEERING. Research Interest : Hybrid-Electric vehicles, Power electronics.


In this project work a method for enhancing the stability of a dc distribution system that

integrates plug-in hybrid electric vehicles (PHEVs) with an ac power grid. The dc distribution

system is interfaced with the host ac grid via a voltage-sourced converter and can also embed

photovoltaic (PV) modules. Thus, bidirectional dc–dc electronic power converters act as

battery chargers and interface the PHEVs with the dc distribution system, while PV modules

are interfaced with the dc distribution system via unidirectional dc–dc converters. The dc

distribution system is expected to be more efficient and economical than a system of ac–dc

battery chargers directly interfaced with an ac grid, but it is prone to instabilities due to the

constant-power property of the dc–dc converters. Using a nonlinear control strategy, the

proposed stability enhancement method mitigates the issue of instability by altering the power

set points of the battery chargers, bidirectional dc–dc converters, without a need for changing

system parameters or hardware. Here mathematical models for the original and modified

systems and demonstrates that the proposed technique expands the stable operating region of

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the dc distribution system. Simulation results demonstrate the effectiveness of the proposed

method for a study system in the Matlab software environment.

Future Expansion of the Project: A method for enhancing the stability of a dc distribution system that integrates plug-in hybrid electric vehicles (PHEVs) with an micro-grid.

Requirement for the Project : MATLAB/SIMULATION

Project Domain : Hybrid-Electric vehicles Project Title : A Zero-Voltage Switching Full-Bridge DC–DC Converter With Capacitive Output Filter for Plug-In Hybrid Electric Vehicle Battery Charging. Guide :Amarnath Reddy.N Qualification : M.E Specialization : AUTOMOTIVE ENGINEERING. Research Interest : Hybrid-Electric vehicles, Power electronics.

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Here zero-voltage switching fullbridge converter with trailing edge pulse width

modulation and capacitive output filter is presented. The target application for this study

is the second stage dc–dc converter in a two stage 1.65 kW on-board charger for a plug-in

hybrid electric vehicle. For this application the design objective is to achieve high

efficiency and low cost in order to minimize the charger size, charging time, and the

amount and the cost of electricity drawn from the utility. A detailed converter operation

analysis is presented along with simulation and experimental results. In comparison to a

benchmark full-bridge with an LC output filter, the proposed converter reduces the

reverse recovery losses in the secondary rectifier diodes, therefore, enabling a converter

switching frequency of 100 kHz. Experimental results are presented for a prototype unit

converting 400 V from the input dc link to an output voltage range of 200– 450 V dc at

1650 W. The prototype achieves a peak efficiency of 95.7%.

Future Expansion of the Project: we can improve peak efficiency.


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Project Domain : Hybrid-Electric vehicles Project Title : Design of Single-Stage Buck and Boost Converters for Photovoltaic Inverter Applications. Guide :Amarnath Reddy.N Qualification : M.E Specialization : AUTOMOTIVE ENGINEERING. Research Interest : Power electronics. Project Description:

In conventional inverters, implementation of a transformer greatly enhances the Total

Harmonic Distortion(THD) which is counted to have a negative impact on the inverter

output. In order to overcome this limitation, transformer can be replaced by buck and boost

converters thereby making a transformer-less inverter which will greatly reduce the THD

and enhance the efficiency. In this paper, the design of a single stage buck and boost

converters has been presented for photovoltaic inverter applications. The proposed design

employs a single-stage switch mode buck converter and a single-stage switch mode boost

converter. The converters are so designed that the boost converter provides an output

voltage of 312V DC from 24V PV array while the buck converter provides an output

voltage of 7.07V pulsated DC from 312V AC grid. The designed buck and boost converters

are then employed to run a single-phase fullbridge inverter. The circuit is simulated using

the PSIM software. The simulation results show that the designed buck and boost

converters can be used to replace transformers from conventional inverter circuit to make

low-THD, highly efficient and cost effective transformer-less inverter topology.

Future Expansion of the Project: Increase the capacity


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Project Domain : Hybrid-Electric vehicles Project Title : An Integrated Three-Port Bidirectional DC–DC converter for PV Application on a DC distribution System. Qualification : M.E Guide :Amarnath Reddy.N Specialization : AUTOMOTIVE ENGINEERING. Research Interest : Power electronics. Project Description:

Here an integrated three-port bidirectional dc–dc converter for a dc distribution system is

presented. One port of the low-voltage side of the proposed converter is chosen as a current

source port which fits for photovoltaic (PV) panels with wide voltage variation. In addition,

the interleaved structure of the current source port can provide the desired small current

ripple to benefit the PV panel to achieve the maximum power point tracking (MPPT).

Another port of the low-voltage side is chosen as a voltage source port interfaced with battery

that has small voltage variation; therefore, the PV panel and energy storage element can be

integrated by using one converter topology. The voltage port on the high-voltage side will be

connected to the dc distribution bus. A high-frequency transformer of the proposed converter

not only provides galvanic isolation between energy sources and high voltage dc bus, but also

helps to remove the leakage current resulted from PV panels. The MPPT and power flow

regulations are realized by duty cycle control and phase-shift angle control, respectively.

Different from the single-phase dual-half-bridge converter, the power flow between the low-

voltage side and high-voltage side is only related to the phase-shift angle in a large operation

area. The system operation modes under different conditions are analyzed and the zero-

voltage switching can be guaranteed in the PV application even when the dc-link voltage

varies. Finally, system simulation and experimental results on a 3-kW hardware prototype are

presented to verify the proposed technology.

Future Expansion of the Project: Improve the efficiency of the system.


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Project Domain : Power Electronics application to Power Systems Project Title : Improvement of Voltage stability of Transmission system using TCSC Guide : K. Veeresham Qualification : M.Tech. (Ph. D) Specialization : Power Electronics Research Interest : Power Electronics, Power Systems, Optimization Techniques Project Description: The main aim of a modern electrical power system is to satisfy continuously the

electrical power contracted by all customers. This is a problem of great engineering

complexity where the following operational policies must be observed: (1) nodal

voltage magnitudes and system frequency must be kept within narrow boundaries;

(2) the alternating current (AC) voltage and current waveforms must remain largely

sinusoidal; (3) transmission lines must be operated well below their thermal and

stability limits; and (4) even short-term interruptions must be kept to a minimum.

Moreover, because of the very competitive nature of the electricity supply business in

an era of deregulation and open access, transmission costs must be kept as low as

possible. The main objective of a power flow study is to determine the steady-state

operating condition of the electrical power network. The steady-state may be

determined by finding out, for a given set of loading conditions, the flow of active

and reactive powers throughout the network and the voltage magnitudes and phase

angles at all buses of the network. The information conveyed by such studies

indicates whether or not the nodal voltage magnitudes and active and reactive power

flows in transmission lines and transformers are within prescribed operating limits. If

voltage magnitudes are outside bounds in one or more points of the network, then

appropriate action is taken in order to regulate such voltage magnitudes. Similarly, if

the study predicts that the power flow in a given transmission line is beyond the

power carrying capacity of the line, then control action is taken. The above said

system parameters are to controlled and can keep in within the range by using TCSC.

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Future Expansion of the Project : To be implemented on Indian real time systems

Requirement for the Project : MATLAB software

Project Domain : Power Electronics application to Power Systems Project Title - 2 : Enhancement of system transfer power using STATCOM Guide : K. Veeresham Qualification : M. Tech. (Ph. D) Specialization : Power Electronics Research Interest : Power Electronics, Power Systems, Optimization Techniques Project Description:

The main aim of a modern electrical power system is to satisfy continuously the electrical

power contracted by all customers. This is a problem of great engineering complexity where

the following operational policies must be observed: (1) nodal voltage magnitudes and

system frequency must be kept within narrow boundaries; (2) the alternating current (AC)

voltage and current waveforms must remain largely sinusoidal; (3) transmission lines must

be operated well below their thermal and stability limits; and (4) even short-term

interruptions must be kept to a minimum. Moreover, because of the very competitive nature

of the electricity supply business in an era of deregulation and open access, transmission

costs must be kept as low as possible. The main objective of a power flow study is to

determine the steady-state operating condition of the electrical power network. The steady-

state may be determined by finding out, for a given set of loading conditions, the flow of

active and reactive powers throughout the network and the voltage magnitudes and phase

angles at all buses of the network. The information conveyed by such studies indicates

whether or not the nodal voltage magnitudes and active and reactive power flows in

transmission lines and transformers are within prescribed operating limits. If voltage

magnitudes are outside bounds in one or more points of the network, then appropriate action

is taken in order to regulate such voltage magnitudes. Similarly, if the study predicts that the

power flow in a given transmission line is beyond the power carrying capacity of the line,

then control action is taken.

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Future Expansion of the Project: To be implemented on Indian real time systems Requirement for the Project : MATLAB software

Project Domain : Power Electronics application to Power Systems Project Title : Optimal Active and reactive power flow using TCSC of a Transmission System Guide : K. Veeresham Qualification : M. Tech. (Ph. D) Specialization : Power Electronics Research Interest : Power Electronics, Power Systems, Optimization Techniques

150


Electric power systems have experienced continuous growth in all three sectors of the business, namely, generation, transmission, and distribution. In the past, transmission systems were characterised by a low degree of interconnection, hence, it was uncomplicated to share the load among several generating units. The increase in load sizes and operational complexity brought about by widespread interconnection of transmission systems, some encompassing continental distances, introduced major difficulties into the operation of electrical power networks. It became necessary for many electrical utilities to operate their systems closer to the system operating capacity. It became impractical to determine appropriate operating strategies based only on observation and the experience of the operator. The operating philosophy had to be revised, and new concepts based on economic considerations were adopted. Optimal power flow (OPF) solution methods have been developed over the years to meet this very practical requirement of power system operation

Optimal power flows can be more easily understood if one thinks in terms of conventional power flows, where the objective is to determine the steady-state operating conditions of the power network. Voltage magnitudes and angles at all buses of the network corresponding to specified levels of load and generation are determined first. Power flows throughout the network are calculated afterwards. It is most likely that this solution, although feasible, will not yield the most economic generating schedule or an operating point where minimum losses are incurred. The OPF solution, in contrast, includes an objective function that is optimised without violating the system operating constraints. These include the network equations, loading conditions, and physical limits on active and reactive power generation. The selection of the objective function depends on the operating philosophy of each power system. A common objective function concerns the active power generation cost. The economic dispatch problem is a particular case of the OPF problem.

Future Expansion of the Project: To be implemented on Indian real time systems Requirement for the Project : MATLAB software

Project Domain : Power Electronics application to Power Systems Project Title : Optimal power flow using STATCOM in a Transmission System Guide : K. Veeresham Qualification : M. Tech. (Ph. D) Specialization : Power Electronics Research Interest : Power Electronics, Power Systems, Optimization Techniques

151

Project Description: Electric power systems have experienced continuous growth in all three sectors of the business, namely, generation, transmission, and distribution. In the past, transmission systems were characterised by a low degree of interconnection, hence, it was uncomplicated to share the load among several generating units. The increase in load sizes and operational complexity brought about by widespread interconnection of transmission systems, some encompassing continental distances, introduced major difficulties into the operation of electrical power networks. It became necessary for many electrical utilities to operate their systems closer to the system operating capacity. It became impractical to determine appropriate operating strategies based only on observation and the experience of the operator. The operating philosophy had to be revised, and new concepts based on economic considerations were adopted. Optimal power flow (OPF) solution methods have been developed over the years to meet this very practical requirement of power system operation Optimal power flows can be more easily understood if one thinks in terms of conventional power flows, where the objective is to determine the steady-state operating conditions of the power network. Voltage magnitudes and angles at all buses of the network corresponding to specified levels of load and generation are determined first. Power flows throughout the network are calculated afterwards. It is most likely that this solution, although feasible, will not yield the most economic generating schedule or an operating point where minimum losses are incurred. The OPF solution, in contrast, includes an objective function that is optimised without violating the system operating constraints. These include the network equations, loading conditions, and physical limits on active and reactive power generation. The selection of the objective function depends on the operating philosophy of each power system. A common objective function concerns the active power generation cost. The economic dispatch problem is a particular case of the OPF problem.

Future Expansion of the Project:. To be implemented on Indian real time systems Requirement for the Project : MATLAB software

152

Project Domain : Power Electronics and Renewable Energy Systems Project Title : Modeling of a hybrid controller in DC grid connected applications of PVsystem using practical swarm optimization technique Guide : Hari Priya T Qualification : M.Tech (PhD) Specialization : Power Systems Research Interest : Power System protection, operation and control, Renewable Energy Systems Project Description:

The aim of this work is to develop a hybrid controller for PV based DC-DC boost

converter in DC grid connected applications. The hybrid controller proposed here consists

of MPPT controller and a voltage regulator. The MPPT controller uses practical swarm

optimization to track the global maximum power point and voltage regulating action is

performed by using fuzzy controller, which is used to maintain stable dc output

irrespective of grid fluctuations. Modeling and simulation of proposed system can be

performed in MATLAB/SIMULINK environment.

Future Expansion of the Project: The performance of the proposed system can be

analyzed with different control techniques Requirement for the Project : Knowledge in Power Electronics Domain, Good at

Matlab Simulation and coding

153

Project Domain : Power Electronics and Renewable Energy Systems Project Title : An Adaptive Perturb and Observe based fuzzy logic controller for solar PV pumping system using PMDC motor Guide : Hari Priya T Qualification : M.Tech (Ph.D) Specialization : Power Systems Research Interest : Power System protection, operation and control, Renewable Energy Systems Project Description:

This work focuses on design of adaptive P&O based fuzzy logic control for maximum power

point tracking (MPPT) technique when applied to a standalone solar PV pumping system. With

conventional P&O algorithm using fixed iteration step-size, it is difficult to acheive both

performance of fast dynamic response and good accuracy under irradiance and temperature

changing. To overcome these limitations a new adaptive P&O method with fuzzy logic control

(FLC) is presented. The influence of the proposed method parameters on system behavior is

investigated and compared with the traditional methods.

Future Expansion of the Project: Hardware implementation can be performed Requirement for the Project : Knowledge in Power Electronics Domain, Good at Matlab Simulation and coding

154

Project Domain : Power Electronics and Renewable Energy Systems Project Title : Modeling of a Doubly Fed Induction Generator Wind Turbine and Solar PV based Hybrid Power Sources for DC-grid connected Applications Guide : Hari Priya T Qualification : M.Tech (PhD) Specialization : Power Systems Research Interest : Power System protection, operation and control, Renewable Energy Systems Project Description:

Wind energy and Solar energy, are considered to be the main attributes of renewable energy

for electricity generation. This work mainly focuses on the study of a novel integration of

wind energy and solar PV energy to DC grid. In order to extract maximum power from

Wind energy and solar energy systems a novel technique, known as Maximum Power Point

Tracking (MPPT) technique, will be implemented. Additionally, to maintain and sustain the

continuity of supply to the load on demand at all times, the outputs of wind energy and solar

energy are integrated suitably. A hybrid controller is used in solar PV system to maintain

stable dc output and o extract the maximum power point.

Future Expansion of the Project: A method to overcome Fault ride through problem can be

implemented for the proposed topology Requirement for the Project : Knowledge in Power Electronics Domain, Good at

Matlab Simulation and coding

155

Project Domain : Power Electronics and Renewable Energy Systems Project Title : Design of MPPT controller for high voltage gain interleaved multilevel boost converter for high voltage DC grid connected

applications Guide : Hari Priya T Qualification : M.Tech (PhD) Specialization : Power Systems Research Interest : Power System protection, operation and control, Renewable Energy Systems Project Description:

The output power generated by photovoltaic (PV) devices which converts sun’s

light energy to electrical energy, is a nonlinear function of the external

environment. To improve the performance of PV devices in such cases, design of

maximum power point tracking (MPPT) function is more important. The non-

conventional energy sources like photovoltaic cells and fuel cells will be at a low

voltage level, this must be stepped up considerably for high voltage DC grid

integration, for which we need a high voltage gain DC-DC boost converters. The

main advantages of the proposed boost converter topology are continuous input

current, large voltage gain without maintaining high duty cycle, absence of

transformer and use of devices with low voltage ratings. Different MPPT control

strategies are implemented for the proposed boost converter.

156

Future Expansion of the Project: Hardware implementation of the proposed system can be

done Requirement for the Project : Knowledge in Power Electronics Domain, Good

at Matlab Simulation and coding

Project Domain : Microgrid Project Title : Maximum Power Point Tracking of Partially

shaded PV array Guide : P.Dimple Raja Qualification : M.Tech Specialization : Power Electronics and Power Systems Research Interest : Microgrid

157


Maximum power point tracking (MPPT) is an integral part of a system of energy

conversion using photovoltaic (PV) arrays. The power-voltage characteristic of PV

arrays operating under partial shading conditions exhibits multiple local maximum

power points (LMPPs). A method will be presented to track the global maximum

power point (GMPP) of PV. Compared with the past proposed

global MPPT techniques, the method to be proposed will have the advantages of

determining whether partial shading is present, calculating the number of peaks on

P-V curves, and predicting the locations of GMPP and LMPP. The method will

quickly find GMPP, and avoid much energy loss due to blind scan. The

experimental results must verify that the proposed method guarantees convergence

to the global MPP under partial shading conditions.

Future Expansion of the Project: Requirement for the Project : Matlab/Simulink

Project Domain : Microgrid Project Title : A three-phase DC/AC inverter for PV application Guide : P.Dimple Raja Qualification : M.Tech Specialization : Power Electronics and Power Systems Research Interest : Microgrid

158


This method contains three-phase dc-ac inverter based on the Cuk converter. The main

feature of the topology is that the energy storage elements as inductors and capacitors

values can be reduced in order to improve the reliability, reduce the size, and the total

cost. The buck-boost has inherent nature of the Cuk converter, depending on the time-

varying duty ratios, provides more flexibility for stand-alone and grid connected

applications when the required output AC voltage is lower or greater than the DC side

voltage. The three-phase DC-AC inverter is very convenient for PV applications where

continuous average input currents are required for appropriate Maximum power Point

Tracking (MPPT) operations.

Future Expansion of the Project: Requirement for the Project :

Project Domain : Microgrid (Power Electronics) Project Title : Control of Frequency and Voltage Output of Microgrid, Grid Connected/ Islanded using Hysteresis Control Algorithm Guide : P.Dimple Raja Qualification : M.Tech Specialization : Power Electronics and Power Systems Research Interest : Microgrid


Due to lack of inertial devices, control of frequency and voltage is difficult in microgrid.

Thanks to power electronics devices which reduced the complexity with fast switching.

But, it requires control algorithm for switching. There were many linear and non-linear

control algorithms. Linear algorithm requires linearization of network. However,

hysteresis control algorithm is non-linear technique which doesn’t require linearization.

Future Expansion of the Project:. Requirement for the Project : Matlab/ Simulink

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Project Domain : Microgrid (Power Systems) Project Title : Microgrid Economy and Optimal Operation of Grid connected Microgrid Guide : P.Dimple Raja Qualification : M.Tech Specialization : Power Electronics and Power Systems Research Interest : Microgrid


In Microgrid Economy the objective is to find optimal sizing of distributed resources

which contains solar, wind, diesel and biogas generating systems for a particular load

based on autoregressive and prediction techniques. Once determination of optimal sizes

of distributed resources is completed. We need to control the power output of each

generating system such that maximum power can be abstracted from the renewable

resources with good power quality with the help of controlling the power output from

conventional resources.

Future Expansion of the Project: Requirement for the Project : Matlab, Optimization tool preferably GAMS

160

Project Domain : Power Systems Project Title : Study of control strategies for variable speed wind turbine under limited power conditions Guide : K Ranjith Reddy Qualification : M.Tech Specialization : Electrical Drives Research Interest : Power Electronics


This project investigates the performance of variable speed wind turbine (VSWT)

configuration with DC-DC converter under restricted output power conditions. The

considered regimes of turbine operation are: at maximum available

aerodynamic power and at limited output electric power. The wind turbine system

consist of synchronous generator (SG) connected to diode rectifier, DC chopper and

load. Two different control methods are used: with predefined turbine characteristics and

with fuzzy logic controller. The turbine controllers combine the

maximum power point tracking (MPPT) and limited power point tracking (LPPT)

algorithms. The performance of the dynamic models and the control loops are tested

under various wind conditions.

Future Expansion of the Project:. Requirement for the Project : Matlab/Simulink

Project Domain : Power Systems Project Title : Limiting the power generated by a photovoltaic system Guide : K Ranjith Reddy Qualification : M. Tech Specialization : Electrical Drives Research Interest : Power Electronics

Project Description: Although photovoltaic (PV) systems are generally based on

Maximum Power Point Tracking (MPPT), many situations such as stand-alone systems or

micro grids increasingly require the PV system to operate below maximum power. The

problem here is that the power regulation becomes unstable when the MPP power is lower

than the reference power as a result of a decrease in irradiance. This project proposes a

control strategy for a DC/DC boost converter that makes it possible to operate in both

modes: at either maximum or limited power point tracking.

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Project Domain : Power Systems Project Title : Power Quality Improvement Using Interline Unified Power Quality Conditioner Guide : K Ranjith Reddy Qualification : M. Tech Specialization : Electrical Drives Research Interest : Power Electronics Project Description:

Power quality has become an important factor in power systems, for consumer and

household appliances with Proliferation of various electric/ electronic equipment and

computer systems. The main causes of a poor power quality are harmonic currents, poor

power factor, supply voltage variations, etc. In recent years the demand for the quality of

electric power has been increased rapidly. Power quality problems have received a great

attention nowadays because of their impacts on both utilities and customers. Voltage sag,

swell, momentary interruption, under voltages, over voltages, noise and harmonics are the

most common power quality disturbances.

This project proposes a new connection for a unified power quality conditioner (UPQC)

to improve the power quality of two feeders in a distribution system. This paper illustrates

how UPQC can improve the power quality by mitigating all these PQ disturbances.

Future Expansion of the Project: Requirement for the Project : Matlab/Simulink

162

Project Domain : Power Electronics Project Title : A simplified SVPWM control strategy for PV inverter Guide : K Ranjith Reddy Qualification : M. Tech Specialization : Electrical Drives Research Interest : Power Electronics Project Description:

Space vector pulse width modulation (SVPWM) technology has widely application in

inverter because of easy digital realization. However, in pulse wave generation, not

only the trigonometric function is involved, but also sector selection will be considered

when six vectors are calculated. The realization of SVPWM control algorithm is very

complicated, although its control accuracy is high. Photovoltaic (PV) inverter is

simplified DC/AC converter with respect to power driver system and it does not need

complicated SVPWM. To solve the problem for PV inverter, a new

simplified SVPWM control strategy is proposed. It has only comparison and normal

arithmetical operations, so that the judgment of sector and calculation of vector

operating time is completed. It eliminates the conventional SVPWM massive

calculation of trigonometric function, and the system performance is improved.


163

Project Domain : Distribution Generation Project Title : Distributed Generation and Capacitor Banks Placement in Order to Achieve the Optimal Real Power losses using GA Guide : R.Sireesha Qualification : Ph.D (pursuing) Specialization : EPS Research Interest : Optimal Placement Of DG and Capacitor


GA is used for an optimal placement method in order to sizing and siting of distributed

generation and capacitor banks in IEEE 33 bus test system . The proposed objective

function considers reduction of active power losses of the system in nominal load of

system. In order to use of Genetic Algorithm, at first, placement problem is written as an

optimization problem which includes the objective function and constraints, and then to

achieve the most desirable results, Genetic Algorithm (GA) method is applied to solve

the problem. High performance of the proposed algorithm in mention system is verified

by simulations in MATLAB softwar.e

Future Expansion of the Project:. Requirement for the Project : MATLAB software

Project Domain : Distribution Generation Project Title : Optimal Location, sizing And Appropriate Technology of Distributed Generators for Minimizing power loss Using Genetic Algorithm Guide : R.Sireesha Qualification : Ph.D (pursuing) Specialization : EPS Research Interest : Optimal Placement Of DG and Capacitor

164


Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG)

technology for optimal operation of power system as well as determine the optimal location

and size of the DG to minimize power loss on the network. Three classes of DG technologies,

synchronous generators, asynchronous generators, and induction generators, are considered

and included as part of the variables for the optimization problem. IEEE 14-bus network is

used to test the applicability of the algorithm.


Project Domain : Distribution Generation Project Title : Dg Placement In Distribution Network For Power Loss Minimization Using Genetic Algorithm Guide : R.Sireesha Qualification : Ph.D (pursuing) Specialization : EPS Research Interest : Optimal Placement Of DG and Capacitor

165


DG placement in distribution network for power loss minimization using genetic algorithm (GA)

presents minimization of total power loss with improvement in bus voltage and branch

currents using (i) network reconfiguration, (ii) capacitor banks, and (iii) optimum number of

distributed generation (DG) units placement in radial distribution system (RDS). GAis used to

determine non-linear problem of calculating total power loss of RDS which are subjected

to operational equality and inequality constraints. The effectiveness of this method is illustrated

by comparing the results with Harmony search algorithm (HSA) and GA from the literature.

The solution to the objective of minimization of loss is obtain using MATLAB optimization

toolbox with MATLAB version R2010a and MATLAB programming on IEEE 33-bus

distribution system for different case studies.


166

Project Domain : Distribution Generation Project Title : Optimal Allocation of Distributed Generation to Minimize Loss in Distribution System Guide : R.Sireesha Qualification : Ph.D (pursuing) Specialization : EPS Research Interest : Optimal Placement Of DG and Capacitor Project Description:

This proposed method aims at minimizing the real power loss in radial distribution system by

Optimal Allocation and Sizing of Distributed Generation using Artificial Bee Colony

Optimization (ABC) technique. The Artificial Bee Colony algorithm is a population-based

optimization technique which is based on the intelligent foraging behaviour of the honey bee

swarm. Distributed generation is an approach that employs small scale technologies to produce

electricity close to the end users of power. The solution to the objective of minimization of

loss can be attain by using MATLAB


167

Project Domain : Electric Drives Project Title : Analysis and Simulation of Speed Control of PMBLDC by PI Controller Guide : Shivateja Manala Qualification : M.Tech Specialization : Electric Drives and Power Electronics Research Interest : Power Electronics, Electric Drives and Power Quality Project Description:

This paper deals with analysis and design of a speed controller for PMBLDC motor. The

brushless DC motor has permanent-magnets on rotor and the stator windings are wound such

that the back electromotive force is trapezoidal in nature. The control unit used is a PI controller,

which governs the duty cycle of the PWM pulses applied to the switches of the inverter to run

the motor at desired speed. The simulation of the proposed scheme was done using MATLAB

software package in SIMULINK environment.

Future Expansion of the Project:. Requirement for the Project : MATLAB/SIMULINK

168

Project Domain : Power Electronics Project Title : A Performance Comparison of Interleaved Boost Converter and Conventional Boost Converter for Renewable Energy Application Guide : Shivateja Manala Qualification : M.Tech Specialization : Electric Drives and Power Electronics Research Interest : Power Electronics, Electric Drives and Power Quality Project Description:

A performance comparison of an interleaved boost converter (IBC) and the conventional boost

converter is presented in this paper. Also this paper investigates the performance of three-phase

uncoupled and directly coupled Interleaved Boost Converter (IBC) for renewable energy

applications. DC-DC Boost Converters serves many purposes. Low output voltage for renewable

energy sources such as Fuel cells, Batteries, Photovoltaic cells. Interleaved Boost converter

(IBC) has better performance characteristics when compared to a conventional boost converter

due to its increased efficiency, reduction in size and greater reliability. IBC consists of a number

of boost converters connected in parallel and controlled by the interleaved method which has the

same switching frequency and phase shift. In this paper various parameters of the IBC are

compared to a conventional boost converter.


169

Project Domain : Electric Drives Project Title : Solar PV Stand-Alone Water Pumping System Employing PMSM Drive Guide : Shivateja Manala Qualification : M.Tech Specialization : Electric Drives and Power Electronics Research Interest : Power Electronics, Electric Drives and Power Quality Project Description:

This paper deals with the stand alone solar PV (Photo Voltaic) supplied PMSM (Permanent

Magnet Synchronous Motor) drive for water pumping system. An interlink Boost converter is

used between solar PV panel and DC bus of PMSM drive. The DC bus voltage of PMSM drive

is maintained constant by controlling the duty cycle of boost converter. Three phase VSI

(Voltage Source Inverter) is controlled to supply PMSM under change in solar irradiation to

regulate discharge of water. Solar PV stand–alone water pumping system employing PMSM

drive is modelled in MATLAB/SIMULINK environment using the sim power system toolboxes.

The performance of the proposed system is obtained under wide variation in PMSM speed with

change in solar irradiation.


170

Project Domain : Power Quality Project Title : Simulation and Comparison Between Hybrid Active Power Filter and Shunt Active Power Filter Guide : Shivateja Manala Qualification : M.Tech Specialization : Electric Drives and Power Electronics Research Interest : Power Electronics, Electric Drives and Power Quality Project Description:

The shunt active power filters (SAPFs) and hybrid active power filter (HAPF) is used for

practical solution to solve the electric power quality, (EPQ) issues. The emerging power

electronic devices and the new developments in digital signal processing (DSP), have made

possible its practical use. The active power filters can compensate the nonlinear load current of

electrical systems: harmonics, reactive power, imbalances, etc. In this paper simulation and

comparison between shunt active power filter and hybrid combination of shunt active power

filter and shunt passive power filter is presented. FFT (Fast Fourier Transform) analysis and

waveforms are presented for both filters. The superior performance of hybrid active power filter

is also presented.


171

Project Domain : Fractional calculus and DC drives Project Title : Fractional PID Controllers in speed control of DC drives Guide : Saikumar Naidu P Qualification : M.Tech Specialization : Power Electronics and Electrical Drives Research Interest : Drives and DC-DC converters. Project Description:

All the systems which we analyze and design is based on the assumption of linear

characteristics. If we want to represent the system in exact we have to deal with fractional

calculus. This project is intended to explore fractional calculus and its usefulness in PID

controllers which will be extended to speed control of the DC motor. By incorporating fractional

PID we will enhance the performance of overall system.

Future Expansion of the Project: This project can be extended to implement fractional

calculus to nonlinear models of Advanced drives like PMDC and BLDC. Requirement for the Project : Interested to work on nonlinear models, Strong

Calculus background on Mathematical modelling, Dc drives basics and familiar MATLAB environment.

172

Project Domain : Soft Switching in DC DC converters Project Title : Soft switching in isolated DC DC converters Guide : Saikumar Naidu P Qualification : M.Tech Specialization : Power Electronics and Drives Research Interest : Drives and DC-DC converters. Project Description:

DC DC converters will operate at high frequency to reduce the size of Filter elements. As

switching frequency increases Switching losses will increase. This project is intended to

implement soft switching techniques in isolated DC DC converters ( in PSIM software) to

reduce Switching losses. It also involves the designing of transformer and inductors used in DC

DC converters and its hardware implementation along with converter.

Future Expansion of the Project:. Can be extended to any of Soft switching Converters and

inverters. Requirement for the Project : Interested to work in PSIM software, strong basics on

MOSFET&IGBT characteristics and basics of isolated DC DC converters.

173

Project Domain : Switched Reluctance Motors Project Title : Implementation of speed controller for switch reluctance motor Guide : Saikumar Naidu P Qualification : M.Tech Specialization : Power Electronics and Drives Research Interest : Advanced Drives Project Description:

Switched reluctance motors (SRM) have many advantages for the high speed applications, But

high torque ripple is still main problem in SRM based high speed drives. The torque control of

SRM is classified by three categories: on/off angle control, current control and direct torque

control strategy for high performance SRM drive. This project is intended to explore and

compare all control methods of SRM drive and implementing the better control structure on

hardware.

Future Expansion of the Project:. Can be extended for optimal control of SRM Drives and

innovative control structure of SRM drives. Requirement for the Project : Basics on Advanced machines like BLDC Drives, SRM

Drives, familiar with closed loop control of drives. (MATLAB/ PSIM software)

174

Project Domain : Grid Synchronization, Power Quality Project Title : Power quality improvement in grid synchronization with STATCOM Guide : Saikumar Naidu P Qualification : M Tech Specialization : Power electronics and Drives Research Interest : Application of Power electronics in Power Quality Project Description:

This project is intended to explore power quality problem with the installation of wind turbine

with the grid. The FACTS device STATIC COMPENSATOR (STATCOM) is connected at a

point of common coupling with a battery energy storage system (BESS) to reduce the power

quality problems. The battery energy storage system is integrated to support the real power

source under fluctuating wind power.

Future Expansion of the Project: Can be extended for grid synchronization of WIND and

Solar Power system with Grid and maintaining power quality. Requirement for the Project : Basics of Power Quality, STATCOM simulation basics in MATLAB.

175

Project Domain : Power electronics Project Title : Soft switching in boost converter Guide : I.Neelima Qualification : M.Tech Specialization : Power electronics and electrical drives Research Interest : DC-DC converters Project Description:

This project presents soft switching of DC-DC converter using an auxiliary resonant circuit. The

circuit consists of normal boost converter with an auxiliary resonant circuit. The conventional

boost converter generates switching losses at turn on and turn off, generally boost converter have

snubber circuit where switching losses are dissipated in the external passive resisters this is

known as hard switching. In this topology the resonant circuit is having one inductor, two

resonant capacitors, two diodes and one auxiliary switch, these resonant components make a

partial resonant path to enable zero voltage switching for both main and auxiliary switches. The

generation of switching losses is avoided by forcing voltage (ZVS) or current to zero during

switching. By reducing the switching losses of converter efficiency is improved in this soft

switching compared to hard switching. The soft switching boost converter is studied

theoretically and results are verified by simulating it in PSIM software.

176

Future Expansion of the Project:. The stability and efficiency and response can be further improved, by controlling the auxiliary switch switching in closed loop. This converter can be integrated with solar arrays as a source, and the performance can be verified.

Requirement for the Project : Interested to work in PSIM software, basics of DC-DC converters and soft switching.

Project Domain : Power Systems and Power Electronics Project Title : Simulation of three phase three level and five level inverters using SPWM technique Guide : I.Neelima Qualification : M.Tech Specialization : Power electronics and electrical drives Research Interest : Multi level inverters Project Description:

A multilevel inverter works with the usage of several levels of DC-voltages constructing a

staircase formed AC-voltage. Capacitors, batteries and renewable energy sources can be used

as the DC- source. When the voltage level increases the harmonics decreases. The advantage of

this multilevel system is that it induces good power quality, has good electromagnetic

compatibility, low switching losses and high capability. It also gives the possibility to terminate

common-mode (CM) voltages (and so reducing the stress on the bearings) and is operational

with both low and high switching frequencies. High switching frequency means higher

efficiency. Simulation is carried out using Matlab/Simulink and the simulation results are

observed, and harmonic spectrum of multi level inverter is compared with two level inverter.

177

Future Expansion of the Project: Harmonic spectrum of multi level inverter can be further

improved by using SVPWM technique Requirement for the Project : Basics on multi level inverters, PWM switching and MATLAB software.

Project Domain : Power Systems and Power Electronics Project Title : Space vector modulation implementation to three phase three level diode clamped inverter. Guide : I.Neelima Qualification : M.Tech Specialization : Power electronics and drives Research Interest : Multi level inverters


This project aims to extend the knowledge about the performance of “Space Vector Modulation

of Three Phase Three Level Diode Clamp Inverter”. Study of the SVPWM for a three phase

three level inverter using diode clamp inverter has been done. Generation of reference vector,

calculation of duty ratio and selection of switching states has been studied and simulated. It is

compared with two level inverter on total harmonic distortion basis which indicates that it is

superior to its counterpart two level inverter. Neutral-point capacitor voltage has also been

explained. Simulation is carried out using Matlab/Simulink and the simulation results are

observed. Using STM32F407VGT6 microcontroller kit, reference vector, sector location and

region in particular sector are identified and observed with in DSO. Duty ratio is also calculated

and observed in DSO to verify simulation results.

178

Future Expansion of the Project: SVPWM inverter performance can be analyzed in high power AC drives application Requirement for the Project : Basics on multi level inverters, methods of switching, harmonic analysis, knowledge of microcontroller programming and MATLAB software.

Department of Mechanical Engineering

Project Compendium for the Academic Year 2016-17

Project. S. No Project Domain Project Title Faculty/

Designation Page No.

1. Metal Joining

Optimization of process parameters in joining by TIG of dissimilar materials – by ANOVA Approach

Dr. M. V. R. Durga Prasad, Professor &

Head

2. Production Process parameters optimization of Micro drilling process by ANN

3. Machining

Optimization of process parameters in machining of hardened steel by coated and uncoated tools using Statistical Quality Control techniques

4. Design / Development Characterization of Advanced Materials.

Dr. P.S. Prasad, Professor

5. Design / Development Machine Element Design

6. Design / Development

Development of CAD/CAM /CAE Tools and other Application software

7. Design / Development Development of machinery / material handling equipment.

8. Design / Development Development of specialized products

9. Design / Development Design and constructional aspects of a bio-reactor

10. Design

Computational thermodynamics of materials design using Cluster Variation Method Dr. G. Srinivasa

Gupta, Professor

11. Design

Stress Analysis for Fibre – Reinforced Composites under elastic/plastic deformation

12. Design Design of bolted joint with

179

enhanced strength and stiffness

13. Industrial Engineering Quality Improvement Using Statistical Process Control - A Case Study

14. Industrial Engineering

Quality Improvement Techniques for Rejection Control in Component Manufacturing Industries – A case Study

15. Quality Engineering

Parametric Investigation of Laser Cutting and Plasma Cutting Process of Mild Steel Material- A Comparative Study

Dr. S. V. S. S. S. Raju, Professor

16. Industrial Engineering Generation of Energy from Road Traffic


An Experimental Investigation on Quality Characteristics of CO2 Laser Cut Process


Analysis of Process Parameters of Plasma Arc Cutting using Design of Experiments

19. CAD-CAE

Modelling & Simulation of Manufacturing Process for Predicting the Temperature in Super Alloys

Dr. B. Satyanarayana,

Professor

20. Additive Manufacturing

Design, Analysis and 3D Printing of Petrol Engine Piston, Connecting Rod and Crank shaft Assembly

21. CAD/CAM

Optimization of CNC Turning for Aluminum Alloy Using Simulated Annealing Method

Dr. G. Raghu Babu, Professor

22. Production

Investigation of Single-Pass/ Double-Pass Techniques on Friction Stir Welding of Aluminium


Study and Optimization of Mechanical Properties of Fused Deposition

180

Modeling.

24. Thermal & Fluids Dynamic Behaviour of Two Phase Natural Circulation Loop

Dr. N. Muralidhara Rao, Professor

25. Thermal & Fluids

Dynamic Behaviour of Single & Two Phase Natural Circulation Loop – Experimental Study


Dynamic Behaviour of a Natural Circulation Loops in Series and Their Second Law Analysis


Cooling of Micro-Chip using Micro-Channel/Porous Media – Both Experimental & Theoretical Study

28. Thermal & Fluids Study of three fluids Cooling in a Multi-Core Compact Heat Exchanger

29. Thermal Analysis of Reciprocating Cycle and Gas Power Cycles for Open System

Dr. S. S. Balakrishna, Professor

30. Manufacturing of the surfaces

Surface Treatments to Engineering Components

31. Production

Solidification as an Important Technology in Manufacturing Modern Engineering Materials

32. Multi-Phase Flow Hydro-Dynamic Behavior of an Air Lift Loop with Single risers

G. K. Pujari, Associate Professor

33. Multi-Phase Flow Hydro-Dynamic Behavior of an Air Lift Loop with multiple risers

34. Multi-Phase Flow Mathematical modeling of an Air Lift Loop

35. Industrial Engineering And Management

Implementation Of Six Sigma Concepts In Industry Leading To Optimization Of Output Parameters S. R. Somayajulu,

Associate Professor


Conducting ABC Analysis in A Factory for Better Inventory Management

37. Industrial Engineering Productivity Improvement using Work Study

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- A Case Study

38. Industrial Engineering Carrying out SWOT Analysis in a firm for improving the business.

39. Industrial Engineering and Management

Productivity Improvement by IEM techniques

S. Shyam Sunder Rao, Associate

Professor

40. Production Production and analysis of a composite materials

41. Industrial Engineering Productivity Improvement and Optimization in Industry using STELLA

42. Simulation SC& Simulation Modeling of a Manufacturing System

43. Inbound supply chain management

System Dynamics of a Manufacturing System

44. CAD/CAM

Design and analysis of machine/automobile components using CAD/CAE software

Y. Shivraj Narayan, Associate Professor

45. Micromachining Multiobjective optimization of MicroEDM process


Development of an automobile component through 3D Printing

47. Joining Technology Prediction of fatigue life of Friction Stir Welding tool

Dr. K. Ajay Kumar

48. Renewable Energy Performance Analysis of Single Basin Double Slope Solar Still

49. Alternative Fuels Performance and Emissions analysis of Plastic fuels

50. 3D Printing Modelling and 3D Printing of a Component A. N. Brahmeswara

Rao, Senior Assistant Professor

51. Computer Aided Manufacturing

Modeling and Manufacturing of a part using CAM software application

52. Design Modeling And Simulation Of Automobile Braking System V. Anand Kumar,

Assistant Professor

53. Design Design of car with two wheels

54. Design Design and Analysis of Automobile wheel rim

55. Design and Analysis Design and Analysis of a K. Jaya Prakash,

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Connecting Rod using Forged Steel

Assistant Professor


Analysis of a 3D Printed Differential Gears

57. Design and Analysis Analysis of a Two Wheeler Suspension Spring

58. Thermal

Effect of ethanol blending with biodiesel on engine performance and exhaust emissions in a CI engine

Jayasri Nair, Assistant Professor

59. Thermal Effect of addition of Additives in Emulsified Biodiesel Fuel

60. Thermal

Effects of nanoparticle-blended water-biodiesel emulsion fuel on working characteristics of a diesel engine

61. Advanced Manufacturing systems

Tool condition monitoring in drilling using vibration Analysis

K. Aruna Prabha, Assistant Professor

62. Manufacturing Systems

Design analysis and comparison of a turbine blade by manufacturing using cnc milling and 3D printing

63. Manufacturing Systems Design and Fabrication of Automatic Sheet Metal Cutting Machine

64. Metal Joining Techniques

Modeling and optimization of FSW parameters for aluminium alloys using RSM M. S. Srinivasa Rao,

Assistant Professor

65. Metal Joining Techniques

Influence of tool geometry on metallurgical and mechanical properties of friction stir welded dissimilar materials.

66. Thermal

An Experimental Investigation Of Free Cooling By Natural Convection Of Vertical Surfaces For Building Integrated Photovoltaic (Bipv) Applications

D. Sarath Chandra, Assistant Professor

67. Heat Transfer An Inclinometer based on

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Free Convective Motion of a Heated Air Mass

68. Material Science and Technology

Experimental study of composite materials used for marines

69. Fluid Power System Interphasing in Manufacturing Systems J. Peter Jones,

Assistant Professor

70. Fluid Power Systems Electro-Pneumatic Sorting Drive System

71. Thermal Effect of Biodiesels

properties on Performance of CI Engine Soumya Ranjan

Pradhan, Assistant Professor

72. Thermal SOLAR Chimney

73. Thermal A working model of heat pipe

74. Computer Integrated Manufacturing

Inventory Control through Lot Sizing using IWO Algorithm

V. V. Durga Sahithi, Assistant Professor


Optimization of Multi Item Lot Sizing using IWO Algorithm


Wagner whitin Technique and PSO comparision for Lot Sizing optimization

77. Design and analysis Design and Analysis of Rocker Arm

N. Srilatha, Assistant Professor

78. Modeling and Analysis Design and Analysis of composite Spur gear

79. Analysis Press Tools Analysis using CATIA


Single Objective Optimization of Milling Parameters Using Genetic Algorithm

K. Bharathi, Assistant Professor


Single Objective Optimization of Turning Parameters Using Taguchi Method


Multi Objective Optimization of Milling Parameters Using ANN and Genetic Algorithm

83. Nano Fluids and Heat Transfer Analysis

Numerical Analysis on Heat Transfer Enhancement of Double Pipe Heat Exchanger using copper oxide (CUO)/Water

K. Krishna Murthy, Assistant Professor

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Nanofluid and Baffled Twisted Tape Inserts by using CFD.

84. Nano Fluids and Heat Transfer Analysis

Numerical Analysis on Heat transfer enhancement of nanofluids flow in micro-channels with constant heat flux by using CFD.

85. Heat transfer analysis

Experimental and Numerical Analysis on solar Still by Using CFD (FLUENT software)

86. Energy Systems

Experimental comparison of pure hydrogen and HHO (hydroxy) enriched biodiesel (B10) fuel in a commercial diesel engine Sri. P. Prasad Kumar,

Assistant Professor

87. Energy Systems

Effect of hydroxy (HHO) gas addition on gasoline engine performance and emissions

88. 3-D Printing (Production)

Fixing a fractured arthrodesed hip with rapid prototype templating and minimal invasive plate osteosynthesis

Sri. S. Bhanu Murty, Assistant Professor

89. Automation

Automation and the situation awareness of drivers in agricultural semi-autonomous vehicle

90. Fracture mechanics

Crack prediction using nonlinear finite element analysis during pattern removal in investment casting process

91. Heat Transfer Enhancement

Heat Transfer Enhancement of Double Pipe Heat Exchanger using Aluminium, Brass, Copper Twisted Tape Inserts.

Sri. L. Sandeep Raj, Assistant Professor


Heat Transfer Enhancement of Double Pipe Heat Exchanger using

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Tapered Twisted Tape Inserts.


Heat Transfer Enhancement of Double Pipe Heat Exchanger using Tapered Twisted Tape Inserts using ANSYS.

94. Bioinspired Materials & Nanotechnology

Experimental Investigation of Robust Self Cleaning

Surfaces

S. V. Amarnadh, Assistant Professor


Production of Superhydrophobic Filters for Oil-Water Separation


Production of Strong & Tough Sea Shell Like

Nano Composite Structures


Analysis of Mechanical Stability of Spider Web

Design of a Specific Spider Species

98. Analysis

Analysis of material deformation and wrinkling failure in conventional metal spinning process

H. Naresh, Assistant Professor

99. Design and analysis Design and Modeling of Automatic power transmission system.

100. Design and analysis

Design optimization and analysis of seat mounting braket in four wheelet model

101. Production(composites)

Study of Mechanical Behavior Of AluminumAl6063 And Fly ash Composite K. Nagendra Babu,

Assistant Professor

102. Production Friction stir welding of aluminium alloys

103. Design and analysis Design And Analysis Of Flange Coupling Two Different Materials

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Project Domain Project Title - 1 Guide Qualification Specialization Research Interests

: Metal Joining : Optimization of process parameters in joining by TIG of dissimilar

materials – by ANOVA Approach : Dr. M. V. R. D. Prasad : B.Tech, M.E, Ph.D : Advanced Manufacturing Processes : Dry turning, Joining Technology, EDM and Quality Engineering


Following are the objectives of this project:

• Identification of a of TIG Machine • Thorough study of the component • Experiment design plan by using software • Suggesting modification in the existing design • Remodeling of the proposed design • Analysis of the proposed design • Comparison of the existing and proposed design

Future Expansion: It can be decided at the end of the Project.

Requirements for the Project:

• Identify the Machine • Expertise in software’s like MAT Lab or MINITAB • Knowledge of Design of Experiments, Design and Materials

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: Production : Process parameters optimization of Micro drilling process by ANN : Dr. M. V. R. D. Prasad : B.Tech, M.E, Ph.D : Advanced Manufacturing Processes : Non-conventional Manufacturing, CAD/CAM and Quality Engineering

Project Description: Following are the objectives of this project:

• Design of experiments for microhole drilling on various materials • Conducting experiments and obtaining results like MRR, TWR, OC, Hardness, and Taper

etc. • Analyzing and optimizing the results • Study and selection of appropriate multi-objective optimization techniques • Applying the results of experimentation for simultaneous optimization of the process

parameters • Comparing the results of optimized results with the experimental ones.



• Knowledge and understanding of EDM and micro EDM process.

• Knowledge of various optimization techniques

• Knowledge and hands-on on statistical softwares like MAT Lab and MINITAB etc.

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: Machining : Optimization of process parameters in machining of hardened steel by

coated and uncoated tools using Statistical Quality Control techniques : Dr. M. V. R. D. Prasad : B.Tech, M.E, Ph.D : Advanced Manufacturing Processes : Non-conventional Manufacturing, Quality Engineering


• Identify the CNC machine, material land Cutting tool

• Identify the problem associated with process

• Collect the data for analysis

• Use various SPC/SQC tools like ANOVA, Sampling techniques, Process Capability,

Machine Capability etc., for analyzing the problem

• Find out the root cause

• Provide alternative solutions to the problems and predict the gain

• Implement the solution and collect the data

• Compare the predicted results with the actual results to know the improvement



• Knowledge of SQC / SPC tools

• Knowledge and hands-on on statistical softwares like Minitab, Matlab etc.

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: Design / Development : Characterization of Advanced Materials. : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment


Scope of work: Development of new techniques / enhancement of existing techniques, / validation

studies that aid in the characterization of advanced materials, e.g. bone; interfaces of biomaterials

and biological materials.

Methods:

(i) analytical models,

By the development of models and utilities like

(ii) simulation procedures, (iii) experimental techniques, (iv) statistical methods, and (v) Instrumentation



• Suitable projects will be allocated, by thorough discussion with the students. As the project

work should meet the academic standards of the University, special attention is paid towards

choosing and completing the projects. The minimum requirements are, disciplined UG

(B.Tech. etc.). / PG. / Ph.D. / Post Doctoral students, with a commitment to learn and

practice.


: Design / Development : Machine Element Design. : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment

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Scope of work: Design and development of machine elements for various applications, eg.

Automobile parts. Scope of work includes functions like conceptual design, detailing, analysis for

structural-suitability, optimization, and computer aided manufacturing.

Methods: Analytical methods, simulation tests, drafting, use of CAD/ CAM/ CAE tools etc







practice.


: Design / Development : Development of CAD/ CAM/ CAE tools and other application software. : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment


Development of software tools that aid in the functions like product development, preparation of layouts, and manufacturing, in the fields of engineering.

Scope of work:

Development of other application software to cater to the specific needs of the industry. Methods: Use of languages / database tools / Computer Aided tools. Future Expansion: It can be decided at the end of the Project.

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practice.


: Design / Development : Development of machinery / material handling equipment. : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment


Scope of work: Development of machines to cater to the industry needs, eg. Automation; The scope

of work includes feasibility studies / design.







practice.


: Design / Development : Development of specialized products. : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment

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Scope of work: Addressing the developmental aspects of products for special applications, eg. Hydraulic cylinders. The scope of work includes the functions like design, detailing, and development of manufacturing process. Future Expansion: It can be decided at the end of the Project.

Requirements for the Project: Suitable projects will be allocated, by thorough discussion with the students. As the project work should meet the academic standards of the University, special attention is paid towards choosing and completing the projects. The minimum requirements are, disciplined UG (B.Tech. etc.). / PG. / Ph.D. / Post Doctoral students, with a commitment to learn and practice.


: Design / Development : Design and constructional aspects of a bio-reactor : Dr. P. S. Prasad, Professor : B.Tech., M.S., Ph.D. : Engineering / Design. : Design / Development of novel techniques and equipment


Possible mechanisms: In-house projects; Pre-approved Consultancy / Industrial collaboration

projects.


Requirements for the Project: Suitable projects will be allocated, by thorough discussion with the students. As the project work should meet the academic standards of the University, special attention is paid towards choosing and completing the projects. The minimum requirements are, disciplined UG (B.Tech. etc.). / PG. / Ph.D. / Post Doctoral students, with a commitment to learn and practice.


: Design : Computational thermodynamics of materials design using Cluster

Variation Method : Dr. G. Srinivasa Gupta : Ph. D : Machine Design, Materials Design : Computational Thermodynamics in Materials Design, Design of

mechanical elements, composite materials

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With the increasing demand for study and investigation of structure property characteristics of materials especially for mechanical elements of various industrial applications as well as deciding the suitable fabrication techniques which offer high strength to weight ratio and highly suitable for aerospace structures as well as automobile industry, So extensive study and analysis for design of these materials is required for present market demand. In this investigation application of thermodynamic principles, numerical techniques as well as computational facilities together used to design and optimize various types of data for material systems using well known model called Cluster Variation method . The cluster variation method (CVM) proposed by Kikuchi (1951) offers a systematic hierarchy of approximations for configurational entropy of mixing by taking into consideration, the ever present, but often neglected sro in materials systems. This is accomplished in terms of the atomic clusters of known configurations. The cluster expansion method developed by Sanchez et al. (1984) supplements CVM for expressing configurational enthalpy of mixing. CVM has been extensively used for computation of phase diagrams and thermodynamic functions in connection with the quantum mechanical first principles methods but not for simultaneous optimization of data. Hence, optimized phase diagram can be reproduced with correct topology. This results effectively minimize effort required to conduct experiments for determining various phases present in the materials system under equilibrium conditions of temperature and composition especially in case material system consists of more number of elements. Future Expansion: with simple binary systems results can be extrapolated for multicomponent

systems and meta stable phases can be estimated..

Requirements for the Project: • A Batch of minimum two students having good computational and programming skills.

Knowledge on materials systems development.


: Design : Stress Analysis for Fibre – Reinforced Composites under elastic/plastic

deformation : Dr. G. Srinivasa Gupta : Ph. D : Machine Design, Materials Design : Computational Thermodynamics in Materials Design


With the increasing demand for light weight materials especially fiber reinforced composite materials which offer high strength to weight ratio and highly suitable for aerospace structures as

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well as automobile industry, So extensive study and analysis for design of these materials is required for present market demand. This is concerned with the study of elasto-plastic deformation of the coating, and consequently, the changes in the states of stress in the constituent phases of a unidirectional fiber reinforced polymer matrix composite (PMC) under uniform thermal, hygral and hygrothermal loading conditions. A four-phase composite cylinder assemblage (CCA) model can be used for the analysis. The coating interphase between the fiber and the matrix may be taken to be of lower modulus and lower yield strength than that of the matrix. Only those combinations of temperature and moisture content will be considered which give rise to plastic deformation in the coating, while the other phases remain elastic. Plastic behavior of the coating can be idealized by taking a linear work-hardening constitutive relation. Future Expansion: Fracture analysis and Vibration analysis can be carried. Analysis also can be

carried by introducing more layers of materials to enhance strength.


• A Batch of minimum two students having good computational and programming skills.

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: Design : Design of bolted joint with enhanced strength and stiffness : Dr. G. Srinivasa Gupta : Ph. D : Machine Components Design, Computational Thermodynamics in Materials Design : Computational Methods in Materials Design


With the increasing demand for light weight materials especially fiber reinforced composite materials which offer high strength to weight ratio and highly suitable for aerospace structures as well as automobile industry, So extensive study and analysis for design of these materials is required for present market demand. This is concerned with an improved stiffness method for bolted joints made of similar and dissimilar plates. A novel approach is used to obtain an expression for the effective area used for determining the joint stiffness. More accurate estimate of the joint stiffness provides a more reliable prediction of the joint behavior both during its initial assembly, as well as under subsequently applied tensile loads in service. The effect of the grip length-to diameter ratio, joint sizes, under head contact radii ratio, hole clearance, and plate material/thickness ratio are investigated. Experimental data are used for determining the envelope angle _ in the proposed analytical method. Finite element modeling can be used for evaluating the accuracy of the proposed stiffness model. Future Expansion: The new model may also be used to approximately estimate the stiffness of joints with eccentric bolt holes with some limitations on the distance from the joint center. Requirements for the Project:

• A Batch of minimum two students having good Analytical and mathematical skills.


: Industrial Engineering : Quality Improvement Using Statistical Process Control - A Case Study : Dr. S. V. S. S. Srinivasa Raju : Ph.D, M.Phil, M.E, M.B.A, B.E : Industrial Engineering and Management : Automation in Manufacturing , Ergonomics, Industrial Engineering and

Management Project Description: Following are the objectives of this project:

Choose an Industrial Undertaking as a sample, collect information Pertaining to Quality either through direct observation or by conducting an experiment or by executing any project by using Statistical Process Control(SPC) Techniques then draw inference through a comparative study before

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& after implementing the suggestions.


Requirements for the Project: An expertise in data collection, Industrial Engineering Techniques and proficiency in SPSS Package


: Industrial Engineering : Quality Improvement Techniques for Rejection Control in Component Manufacturing Industries – A case Study : Dr. S. V. S. S. Srinivasa Raju : Ph.D, M.Phil, M.E, M.B.A, B.E : Industrial Engineering and Management : Automation in Manufacturing , Ergonomics, Industrial Engineering and

Management Project Description: Following are the objectives of this project:

Choose an Industrial Undertaking dealing with manufacturing components for any assembled product as a sample, collect information Pertaining to the history of rejections either through direct observation or by conducting an experiment or by executing any project by using Statistical Process control(SPC) Techniques then draw inference through a comparative study before & after implementing the suggestions. The reduction in the process defects and consequent improvement in the quality of the component manufacturing cell in a manufacturing shop. Reducing the rejection cost or reducing the cost of poor quality is the major objective of the study. It directly drives increased operating profit margins, reduced cycle time increased employee productivity and an improved customer satisfaction. This can be achieved by using quality improvement techniques such as Pareto analysis, why- why analysis and other Statistical Quality Control Techniques.

Future Expansion: It can be decided at the end of the Project. Requirements for the Project:

• An expertise in data collection, Statistical Process control(SPC)

Project Domain Project Title - 15 Guide

: Quality Engineering : Parametric Investigation of Laser Cutting and Plasma Cutting Process of Mild Steel Material- A Comparative Study : Dr. S. V. S. S. Srinivasa Raju

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Qualification Specialization Research Interests

: Ph.D, M.Phil, M.E, M.B.A, B.E : Advanced Manufacturing System and Process : Automation in Manufacturing , Ergonomics, Industrial Engineering &

Management and Quality Engineering Project Description: Following are the objectives of this project:

Choose an Industrial Undertaking as a sample, conduct an experiment by choosing a material of interest, collect information Pertaining to laser cutting and Plasma Arc Cutting and to evaluate their performance with a comparative study.

Future Expansion: It can be applied to other metals with different characteristics. Requirements for the Project:

• An expertise in data collection, Designing of Experimentation, Proficiency in using Minitab Software and SPC tools.

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: Industrial Engineering : Generation of Energy from Road Traffic : Dr. S. V. S. S. Srinivasa Raju : Ph.D, M.Phil, M.E, M.B.A, B.E : Industrial Engineering and Management : Automation in Manufacturing , Ergonomics, Industrial Engineering &


The design and demonstration of generating electric power from the kinetic energy of the moving vehicles which is being wasted on the roads by installing a system of mechanical and electronic components beneath the road level with a parabolic metal sheet atop of the system, converting the linear reciprocating motion of the tie rod to rotational motion of high gear enabling rotation of generator shaft in both the directions. A low gear is used to increase the speed of rotation and thereby increase the rotations of generator ensuring a relatively stable energy generation.

Future Expansion: This techniques can also be used to generate power using different renewable

traffic sources.


• An expertise in Design and Fabrication

• Knowledge of CATIA Design Software ,working principles of generator and inverter.

Project Domain Project Title - 17 Guide Qualification

: Industrial Engineering : An Experimental Investigation on Quality Characteristics of CO2 Laser

Cut Process : Dr. S. V. S. S. Srinivasa Raju : Ph.D, M.Phil, M.E, M.B.A, B.E

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Specialization Research Interests

: Industrial Engineering and Management : Automation in Manufacturing , Ergonomics, Industrial Engineering &

Management and Quality Engineering


Choose an Industrial Undertaking as a sample, conduct an experiment by choosing a material of interest, collect information Pertaining to laser cut and to draw an inference from it.

Future Expansion: It can be applied to other metals with different characteristics

Requirements for the Project: An expertise in data collection, Industrial Engineering Techniques, Taguchi Methods, SPC techniques and proficiency in using Minitab


: Industrial Engineering : Analysis of Process Parameters of Plasma Arc Cutting using Design of

Experiments : Dr. S. V. S. S. Srinivasa Raju : Ph.D, M.Phil, M.E, M.B.A, B.E : Production and Operations Management(POM) : Automation in Manufacturing , Ergonomics, Industrial Engineering &


Choose any Small Scale Industry, conduct an experiment by choosing a material of interest ,collect information Pertaining to Plasma Arc Cutting and analyze the data through Design of Experiments to draw an inference from its results.

Future Expansion: It can be applied to other metals with different characteristics

Requirements for the Project: • An expertise in data collection, Industrial Engineering Techniques and proficiency in SPSS

Package, Taguchi Methods and

Project Domain Project Title - 19 Guide

: CAD-CAE : "Modelling & Simulation of Manufacturing Process for Predicting the Temperature in Super Alloys." : Dr. B.Satyanarayana

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Qualification Specialization Research Interests

: Ph.D. : Production Engineering : Manufacturing

Project Description: Super alloys are the advanced materials used to manufacture aircraft engines and for other applications in the biomedical, automotive and petroleum industries. Use of these materials was rapidly increased because of their excellent characteristics such as a high strength to weight ratio at elevated temperatures, corrosion resistance and higher service life. However, the machinability of these alloys is poor due to their high chemical reactivity with tool materials. Because of this the alloys get welded to the cutting tool and cause premature tool failure. In addition, an increase in cutting temperature at the tool and work piece interface also contributes to the rapid wear on cutting tools. Due to an increased awareness of environmental and health issues, industry is making efforts to eliminate the use of cutting fluid. This can be achieved by machining the super alloys at high speeds in dry cutting environment. Understanding the behaviour of the cutting tools while machining these alloys at higher cutting conditions is of paramount importance for efficient and economic machining of the super alloys. This project aims to develop a Model to predict the temperature in cutting tool and work piece ‘in advance’ for High Speed Machining of Super Alloys.

Future Expansion: It can be extended to other materials. Requirements for the Project: Existing Facilities/Resources are sufficient.


: Additive Manufacturing : Design, Analysis and 3D Printing of Petrol Engine Piston, Connecting Rod and Crank shaft Assembly : Dr. B.Satyanarayana : Ph.D. : Production Engineering : Manufacturing

Project Description: The main function of the piston of an IC engine is to receive the impulse from the expanding gas and to transmit the energy to the crankshaft through the connecting rod. The piston must also disperse a large amount of heat from the combustion chamber to the cylinder walls. The aim

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of this Project is to Design, Model, Analyze & Assemble the 3D Printed Piston, Connecting Rod & Crankshaft for a 4-stoke air-cooled 150cc Engine. CATIA software is used to Model the Assembly of Piston, Connecting rod and Crankshaft whereas ANSYS is used for Analysis. FDM-3D Printer is used to Print the parts. Future Expansion: It can be implemented for any Assembly.

Requirements for the Project: • Existing Facilities/Resources are sufficient


: CAD/CAM : Optimization of CNC Turning for Aluminum Alloy Using Simulated Annealing Method : Dr.G.Raghu Babu : Ph.D : Computer Integrated Manufacturing : Micro Manufacturing, CAD/CAM and Rapid Prototyping



• Identification of a critical component made of Aluminum alloy • Thorough study of the component • Modeling of the component using CATIA or other CAD software • Machining of the component using CNC Turning Centre with a carbide cutting tool • Identification of the critical process parameters • Optimization of the process parameters using simulated annealing method • Determining the best set of turning parameter values • Conducting confirmation test


Requirements for the Project: • Expertise in CAD/CAE softwares like CATIA, ANSYS etc. • Knowledge of CAD/CAM, Design and Materials

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: Production : Investigation of Single-Pass/Double-Pass Techniques on Friction Stir Welding of Aluminium : Dr.G.Raghu Babu : Ph.D : Computer Integrated Manufacturing : Micro Manufacturing, CAD/CAM and Rapid Prototyping



• Design of experiments for FSW on various Aluminium alloys

• Conducting experiments and obtaining results like Tensile Strength, Yield Strength,

Hardness etc.

• Analyzing and optimizing the results

• Study and selection of appropriate optimization techniques

• Microstructure observations of the welded area were studied using an optical microscope

• specimens were tested by using a tensile test and Vickers hardness test

to evaluate their mechanical properties.



• Knowledge and understanding of FSW process.


• Knowledge and hands-on experience on statistical softwares like Minitab, Matlab etc.

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: Additive Manufacturing : Study and Optimization of Mechanical Properties of Fused Deposition Modeling. : Dr.G.Raghu Babu : Ph.D : Computer Integrated Manufacturing : Micro Manufacturing, CAD/CAM and Rapid Prototyping


• Identify study and understand new Rapid Prototyping techniques in detail.

• Modeling of FDM system using simulation softwares.

• Collect the experimental data from the FDM technique for analysis.

• Run the experimental trails using various RP techniques to obtain the following objectives:

o To understand the existing RP system with better process capability.

o To find the suitability of the existing RP techniques.

o To find the bottlenecks in the existing RP techniques.

o To suggest solutions to the problems associated with the system.

To optimize the FDM process parameters for better mechanical properties.



• Knowledge of Rapid Prototyping terminology.

• Knowledge and expertise modeling software like CATIA.

• Knowledge of various optimization techniques.

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: Thermal & Fluids : Dynamic Behaviour of Two Phase Natural Circulation Loop : Dr. Nakka Muralidhara Rao : Ph.D : Thermal & Fluids Engineering : Microfluidics, Nanofluids, Two/Multi phase flow, Fluid Dynamics, Heat

Transfer, Alternative Energy, Bio-diesel, Bio-mimicry, Piping Analysis, Chaotic Analysis


• Mathematical modelling • Code development using FEM (Modifications in the Existing Code) • Dynamic Study for various inlet excitations

Future Expansion: It’s a continuous research area

Requirements for the Project: • Good Analytical Skills • Knowledge in FEM • Knowledge in Microcal Origin (preferred) • Knowledge in Heat Transfer & Fluid Dynamics • Very Good in Mathematics


: Thermal & Fluids : Dynamic Behaviour of Single & Two Phase Natural Circulation Loop –

Experimental Study : Dr. Nakka Muralidhara Rao : Ph.D : Thermal & Fluids Engineering : Microfluidics, Nanofluids, Two/Multi phase flow, Fluid Dynamics, Heat



• Design & Fabrication of Vertical Rectangular Natural Circulation Loop • Experimental Investigations on Dynamic Behaviour


Requirements for the Project: • Good Fabrication Skills • Good Analytical Skills • Knowledge in Microcal Origin • Knowledge in Heat Transfer & Fluid Dynamics

Project Domain Project Title - 26 Guide Qualification Specialization

: Thermal & Fluids : Dynamic Behaviour of a Natural Circulation Loops in Series and Their

Second Law Analysis : Dr. Nakka Muralidhara Rao : Ph. D

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Research Interests : Thermal & Fluids Engineering : Microfluidics, Nanofluids, Two/Multi phase flow, Fluid Dynamics, Heat



• Mathematical modelling • Code development using FEM (Substantial Modifications in the Existing Code) • Dynamic Study for various inlet excitations



• Strong Analytical Skills • Knowledge in FEM • Knowledge in Microcal Origin (preferred) • Knowledge in Heat Transfer & Fluid Dynamics • Very Good in Mathematics


: Thermal & Fluids : Cooling of Micro-Chip using Micro-Channel/Porous Media – Both

Experimental & Theoretical Study : Dr. Nakka Muralidhara Rao : Ph.D : Thermal & Fluids Engineering : Microfluidics, Nanofluids, Two/Multi phase flow, Fluid Dynamics, Heat

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• Mathematical modelling • Experimental Study



• Good Analytical Skills • Good Fabrication Skills • Knowledge in FEM • Knowledge in Microcal Origin (preferred) • Knowledge in Heat Transfer & Fluid Dynamics • Very Good in Mathematics


: Thermal & Fluids : Study of three fluids Cooling in a Multi-Core Compact Heat Exchanger : Dr. Nakka Muralidhara Rao : Ph.D : Thermal & Fluids Engineering : Microfluidics, Nanofluids, Two/Multi phase flow, Fluid Dynamics, Heat



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Following are the objectives of this project: • Mathematical Modelling • Computational Analysis



• Good Analytical Skills • Good Fabrication Skills • Knowledge in FEM • Knowledge in Microcal Origin (preferred) • Knowledge in Heat Transfer & Fluid Dynamics • Very Good in Mathematics • Strong in either C/Fortran

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: Thermal : Analysis of Reciprocating Cycle and Gas Power Cycles for Open System : Dr. S. S. Bala Krishna : Ph.D. : Thermodynamics of Phase transformations : Applied Thermodynamics to Material Systems

Project Description: In system power plants combustion of fuel takes place outside the engine and considerable amount of heat is lost in the boilers. It was thought that if an engine is developed, in which fuel burns inside the engine itself, then this loss may be reduced to increase the efficiency of power generation. A few air standard cycles, employing different ways of heat additions or rejections for a reciprocating system, called internal combustion engine or I.C. engine in short, were developed, notably Otto, diesel and duel cycles. There differ only in the manner in which heat is added to air from the surroundings, otherwise all the three remaining processes are the same , namely isentropic compression, isentropic expansion and constant volume heat rejection. Heat is added at constant volume and there at constant pressure in the diesel cycle and partly at constant volume and them at constant pressure in duel cycle. Here the system is made up of air confined in a cylinder subjected to these processes, and can be analyzed using the non-flow energy equation.

Brayton thought of a cycle for an open system (gas turbine) in which an is isentropically compressed in a rotary compressor, heat added at constant pressure in a combustion chamber, isentropic expansion in a turbine, and finally, heat rejected to the atmosphere at constant pressure. The advantage of such a cycle is that the flow is continuous unlike the power cycle of a reciprocating engine, and a large amount of mass flow is possible, there by increasing the output of the plant.

Future Expansion: It can be extended to other materials. Requirements for the Project:

Project Domain : Manufacturing of the surfaces

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Project Title - 30 Guide Qualification Specialization Research Interests

: Surface Treatments to Engineering Components : Dr. S. S. Bala Krishna : Ph.D. : Thermodynamics of Phase transformations : Applied Thermodynamics to Material Systems

Project Description: Some of the properties of engineering components sharply depend on the surface quality of the component. The properties which are largely affected by surface quality and types of surface are corrosion resistance, wear resistance, abrasion resistance, reflectivity, hardness, conductivity, etc. To achieve these properties, many times the surface of a component is coated or covered with another materials. This material changes the mechanical, electrical and physical properties of the component. The material at the surface provides a physical barrier between the environment and the surface of the component. Such materials should have the desired properties and should be continued in thickness. The effectiveness of those barriers depends on the thickness, and also on the adhesion between the surface and the coated layer. A well cleared and properly pretreated surface of the component is essential in obtaining a long service life of any protective barrier. The surface is cleaned properly before applying the coating materials to achieve the best results.

Future Expansion: It can be implemented for any Assembly.



: Production : Solidification as an Important Technology in Manufacturing Modern Engineering Materials : Dr. S. S. Bala Krishna : Ph.D. : Thermodynamics of Phase transformations

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Research Interests : Applied Thermodynamics to Material Systems

Project Description: The abilities to use fire to produce melt and cast metals such as copper, bronze, and steel indeed is regarded as an important hall mark in the development of mankind. The use of fire for reducing naturally occurring ores into metals and alloys led to the production of useful tools and other products. Today, thousands of years later, solidification is still considered as one of the most importing manufacturing processes. Several millions of tons of steel aluminum alloys copper and zinc are produced through the casting processes. The solidification process is also used to manufacture specific components (eg: aluminum alloys for automotive wheels). Industry also uses solidification process as a primary processing step to produce metallic slabs, ingots, which are then hot and cold worked through secondary operations into more useful shapes. Solidification is also used to join metallic materials using techniques such as welding, brazing and soldering.

We also using solidification for processing inorganic glasses. Many thermos-plastics materials such as poly etcycle, PVC, polypropylene are processed into useful shapes (i.e. fibers, tubes, bottles, toys, utensils, etc.) using a processes that involves melting and solidification. Therefore solidification is an extremely important technology used to control products as well as a tool for the manufacturing of modern engineering materials.

Future Expansion: It can be extended to other materials. Requirements for the Project:


: Fluids : Hydro-Dynamic Behavior of an Air Lift Loop with Single risers : G. K. Pujari : M. E. (Mech) : Heat Power : Multi Phase Flow

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Project description: Past few decades have seen a rapidly growing awareness for plant safety mainly driven due to the concern for the environment and increasing pressure to achieve high plant reliability and cost reduction. Engineers or Scientists are no longer concerned only regarding the efficiency of a process or a plant but also about its reliability. The possible elimination of the moving parts from working system by exploiting a suitable natural phenomenon has emerged as an obvious alternative. This explains why the applications of BICLs (Buoyancy Induced Circulation Loops) are gaining so much popularity in diverse engineering systems. One category of circulation loops without any prime movers are operated by density difference in a fluid by bringing about changing the concentration or composition of the fluid. Air-Lift Loops (ALLs) can be cited as one successful implementation of this principle. ALLs in general, have two or three vertical limbs connected by short horizontal connections at the top and at bottom. The loop connection, also known as a separator, has a free surface open to the atmosphere, while the bottom connection is a closed passage. Air injected at the lower end of one or two of the vertical limbs (denoted as riser) rise up through it due to buoyancy. The air drags its surrounding liquid along with it during its upward motion. Air separates out in the separator but it imparts enough momentum to this liquid so that the liquid can complete the loop flowing down another vertical limb(s) (termed as down comer). These loops are extensively used in chemical and power process industries, nuclear power plants,R & AC,biotechnology and cryogenic applications. The experimental facility consists of an adiabatic air lift loop associated with necessary instrumentation consists of a data acquisition system for the measurement of water flow rate, two phase pressure drop and void fraction.. The worked involved is

1. Design and fabrication of sparger for uniform mixer flow of air and water 2. Hydro Dynamic study of Air Lift Loop for Single riser Future Expansion: External loop can be made with the existing setup.

• Bubble velocity can be found which would be helpful in knowing the behavior of the loop which is a challenging task. Students can go for patent also.

Requirements of the project: S.No. Description No. Required Approx. Cost 1. Rotameters 3 nos. Rs. 20,000/- 2. Pressure Transducer 2 nos. Rs. 10,000/-


: Experimental Fluid Mechanics : Hydro-Dynamic Behavior of an Air Lift Loop with multiple risers : G. K. Pujari : M.E. (Mech) : Heat Power : Multi Phase Flow

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Project Description: One category of circulation loops without any prime movers are operated by density difference in a fluid by bringing about changing the concentration or composition of the fluid. Air-Lift Loops (ALLs) can be cited as one successful implementation of this principle. ALLs in general, have two or three vertical limbs connected by short horizontal connections at the top and at bottom. The loop connection, also known as a separator, has a free surface open to the atmosphere, while the bottom connection is a closed passage. Air injected at the lower end of one or two of the vertical limbs (denoted as riser) rise up through it due to buoyancy. The air drags its surrounding liquid along with it during its upward motion. Air separates out in the separator but it imparts enough momentum to this liquid so that the liquid can complete the loop flowing down another vertical limb(s) (termed as down comer). These loops are extensively used in chemical and power process industries.

The experimental facility consists of an adiabatic air lift loop associated with multiple risers with necessary instrumentation consists of a data acquisition system ,ultrasonic flow meter for the measurement of water flow rate, rotameter for the measurement of airflow rate and pressure transducers for the measurement of pressure drop .

The present work is carried out to determine differential pressure drop in single risers and multiple risers for different air flow rates and different levels of water in the separator tank Differential Pressure drop is determined experimentally by using two phase piezo electric differential pressure transducer. Connected on riser tubes by maintaining 1 meter distance between two pressure dropes. Future Expansion of the Project: conducting experiments with higher flow rates

Requirement for the Project : set up is existing in the lab

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: Experimental Fluid Mechanics : Mathematical modeling of an Air Lift Loop : G. K. Pujari : M.E. (Mech) : Heat Power : Multi Phase Flow

Project Description: One category of circulation loops without any prime movers are operated by density difference in a fluid by bringing about changing the concentration or composition of the fluid. Air-Lift Loops (ALLs) can be cited as one successful implementation of this principle. ALLs in general, have two or three vertical limbs connected by short horizontal connections at the top and at bottom. The loop connection, also known as a separator, has a free surface open to the atmosphere, while the bottom connection is a closed passage. Air injected at the lower end of one or two of the vertical limbs (denoted as riser) rise up through it due to buoyancy. The air drags its surrounding liquid along with it during its upward motion. Air separates out in the separator but it imparts enough momentum to this liquid so that the liquid can complete the loop flowing down another vertical limb(s) (termed as down comer). These loops are extensively used in chemical and power process industries.

The experimental facility consists of an adiabatic air lift loop associated with multiple risers with necessary instrumentation consists of a data acquisition system ,ultrasonic flow meter for the measurement of water flow rate, rotameter for the measurement of airflow rate and pressure transducers for the measurement of pressure drop .

The present work is carried out to determine differential pressure drop in single risers and

multiple risers for different air flow rates and different levels of water in the separator tank Differential Pressure drop is determined experimentally by using two phase piezo electric differential pressure transducer. Connected on riser tubes by maintaining 1 meter distance between two pressure dropes. A mathematical model is developed using experimental results

Future Expansion of the Project:

Requirement for the Project : Set up is existing in the lab

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: Industrial Engineering and Management : Implementation Of Six Sigma Concepts In Industry Leading To Optimization Of Output Parameters : Sri S. R. Somayajulu, Faculty, MED : B.E (Mech. Engg.), : Industrial Engineering And Management : IE&M, TQM, Six Sigma

Project Description: SixSigma aims at a very high quality level. It sets target to achieve 3.4 defects per million opportunities(DPMO).It aims at controlling process variations very significantly. When organizations go from 3 sigma to 6 sigma , the cost of quality could go down to less than 1% of sales. This is clearly a profit for the organization. Six Sigma aims at controlling the defects to the minimum.It aims at nearly eliminating the wastes and rework and thereby improving the profit margin. In the organization chosen, the six sigma methodology is carriedout as below

1.Measurement of current process performance 2.Improvement of performance through experimentation 3. Achieving six sigma level through continuous measurements, analysis and improvement.

Basically, six sigma aims at reduction of the deviation from the mean. Project students are advised to select one of the following industries to implement the six

sigma methodology 1. A manufacturing or a process industry 2. A business industry like a bank 3. A healthcare industry like a multispecialty hospital 4. A service industry like an educational institute like VNRVJIET etc. Generally, two methodologies are used for the implementation of six sigma. They are 1. DMAIC (Define,Measure,Analyse,Improve,Control) for existing products/services 2. DMADV (Define,Measure,Analyse,Design,Verify) for new products/services.


The project students can refer and study the work done by their senior batches and can extend the work to meet the present and future requirements of the organization. The students can take up projects on this topic in our institute itself taken as service industry applying six sigma methodology to the institute as a whole or applying to some sections like library, M-T-P Cell, Physical Education Dept. etc.

Requirement for the Project : Good analytical skills.

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: Industrial Engineering : Conducting ABC Analysis in a Factory for Better Inventory Management : Sri S. R. Somayajulu, Faculty, MED : B.E (Mech.Engg.), : Industrial Engineering And Management : IE&M, TQM, Six Sigma

Project Description: Following are the stages of the project:

• Identification of a factory maintaining inventories and having records

• To list out all the items maintained as inventories

• Collection of the data related to no. of items, unit value of the items

• Plotting the ABC analysis graph

• Conducting the ABC Analysis

Recommendations to the management

Future Expansion of the Project: It can be extended for further improvement.


• Hard working nature

• Ability to work in the stores or godown of a factory.

• Analytical skills

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: Industrial Engineering : Productivity Improvement Using Work Study - A Case Study : Sri S. R. Somayajulu, Faculty, MED : B.E (Mech. Engg.), : Industrial Engineering And Management : IE&M, TQM, Six Sigma

Project Description: Following are the stages of the project

• Identify the industry and the work where improvement is possible

• Take the concerned people in to confidence and brief them about the elements of work study

namely method study and time study

• Conduct Method study

• Recommend the Proposed method

• For the proposed method, conduct Time study, arriving at standard time

• Recommendations to the Management

Future Expansion of the Project: It can be extended for further betterment.


• Knowledge of Workstudy concepts

• Ability to work under shop floor conditions


: Industrial Engineering : Carrying out SWOT Analysis in a firm for improving the business. : Sri S. R. Somayajulu, Faculty, MED : B.E (Mech. Engg.), : Industrial Engineering And Management : IE&M, TQM, Six Sigma

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Project Description: Following are the stages of the project

• Identify the business where adequate improvement is possible

• Prepare or collect standard questionnaire regarding the Strengths, Weaknesses, Opportunities,

and Threats related to the business under study

• Take the concerned people in to confidence and brief them about the conduct of SWOT

analysis

• Conduct SWOT Analysis

• Analyse the data collected

• Recommendations to the management

Future Expansion of the Project: It can be extended for further improvement if any.


• Knowledge of Environmental scanning and SWOT Analysis concepts

• Good communication skills

• Analytical skills


: Industrial Engineering and Management : Productivity Improvement by IEM techniques : S. Shyam Sunder Rao : M.Tech., (Ph.D) : IE&M,POM,MMS : POM,IEM,MMS etc


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• Identification of a critical process • Thorough study of the process • Modeling of the the process • Analysis of the component using stella software • Suggesting modification in the existing system • Remodeling of the proposed system


Requirements for the Project: • Knowledge of stella/flexim software etc.


: Production : Production and analysis of a composite materials : S. Shyam Sunder Rao : M.Tech., (Ph.D) : IE&M,POM,MMS : POM,IEM,MMS etc


• Preparation of a composite material-component • Conducting experiments and obtaining results Analyzing and optimizing the results • Study and selection of appropriate multi-objective optimization techniques • Applying the results of experimentation for simultaneous optimization of the process

parameters • Comparing the results of optimized results with the experimental ones.


Requirements for the Project: • Knowledge and understanding CM • Knowledge of various optimization techniques • Preparation of cm


: Industrial Engineering : Productivity Improvement and Optimization in Industry using STELLA : S. Shyam Sunder Rao : M.Tech., (Ph.D) : Production and Operations,Industrial Engg.,Metallurgy and Material Science : Ind.Engg., Metallurgy and materials, Quality Engineering.POM

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• Identify the industry and the understand the process/product • Identify the problem associated with the product/process • Collect the data for analysis • Find out the root cause • Provide alternative solutions to the problems and predict the gain • Perform cost analysis for implementation of the solution • Implement the solution and collect the data • Compare the predicted results with the actual results to know the improvement



• Knowledge of SQC / SPC/excel/software etc. tools • Knowledge and hands-on on statistical softwares like Minitab, Matlab etc.


: Simulation : SC& Simulation Modeling of a Manufacturing System : S. Shyam Sunder Rao : M.Tech., (Ph.D) : Industrial Engineering : Ind.Engg., Metallurgy and materials, Quality Engineering.POM

Project Description: • Identify study and understand a manufacturing industry in detail. • Modeling of manufacturing system using simulation software like Flexsim. • Collect the real-time data from the manufacturing system for analysis. • Run the modeled system using real-time data as the input to obtain the following objectives:

o To understand the existing system with better visualization, animation and graphics. o To find the productivity of the existing system. o To find the bottlenecks in the existing system. o To suggest solutions to the problems associated with the system. o To provide alternative designs for the existing system.

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o To optimize the manufacturing system.


Requirements for the Project: • Knowledge of simulation terminology • Knowledge and expertise simulation software like Flexsim.


: Inbound supply chain management : System Dynamics of a Manufacturing System : S. Shyam Sunder Rao : M.Tech., (Ph.D) : Industrial Engineering : Ind.Engg., Metallurgy and materials, Quality Engineering.POM

Project Description: • Identify study and understand a manufacturing industry in detail. • Modeling of manufacturing system using simulation software like Flexsim. • Collect the real-time data from the manufacturing system for analysis. • Run the modeled system using real-time data as the input to obtain the following objectives:

o To understand the existing system with better visualization, animation and graphics. o To find the productivity of the existing system. o To find the bottlenecks in the existing system. o To suggest solutions to the problems associated with the system. o To provide alternative designs for the existing system. o To optimize the manufacturing system.


Requirements for the Project: • SYTEM DYNAMICS SOFTWARE


: CAD/CAM : Design and analysis of machine/automobile components using CAD/CAE software : Y. Shivraj Narayan : M.Tech., (Ph.D) : Advanced Manufacturing Processes : Non-conventional Manufacturing, CAD/CAM, Additive Manufacturing & Robotics


• Identification of a critical machine or automobile component

• Thorough study of the component

• Modeling of the component using CATIA or other CAD software

• Analysis of the component using ANSYS or other CAE software

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• Suggesting modification in the existing design

• Remodeling of the proposed design using CATIA or other CAD software

• Analysis of the proposed design using ANSYS or other CAE software

• Comparison of the existing and proposed design



• Expertise in CAD/CAE softwares like CATIA, ANSYS etc.

• Knowledge of CAD/CAM, Design and Materials


: Micromachining : Multiobjective optimization of MicroEDM process : Y. Shivraj Narayan : M.Tech., (Ph.D) : Advanced Manufacturing Processes : Non-conventional Manufacturing, CAD/CAM, Additive Manufacturing & Robotics


• Design of experiments for microhole drilling on various materials

• Conducting experiments and obtaining results like MRR, TWR, OC etc.

• Analyzing and optimizing the results

• Study and selection of appropriate multi-objective optimization techniques

• Applying the results of experimentation for simultaneous optimization of the process

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parameters

• Comparing the results of optimized results with the experimental ones.



• Knowledge and understanding of EDM and micro EDM process.


• Knowledge and hands-on on statistical softwares like Minitab, Matlab etc.


: Additive Manufacturing : Development of an automobile component through 3D Printing : Y. Shivraj Narayan : M.Tech., (Ph.D) : Advanced Manufacturing Processes : Non-conventional Manufacturing, CAD/CAM, Additive Manufacturing & Robotics


• Selection of an automobile component

• Design of the selected component

• Modeling of the component in CATIA software

• Analysis of the model using ANSYS software

• Remodeling of the design based on analyzed results

• Creating STL file of the model for 3D printing

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• 3D printing of component in FDM machine



• Knowledge of FDM based 3D printing

• Knowledge and hands-on CAD/CAE softwares like CATIA, ANSYS etc.

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: Joining Technology : Prediction of fatigue life of Friction Stir Welding tool : Dr. Ajay Kumar Kaviti : B. Tech, M.Tech, Ph.D : Metal Forming : FEA in Manufacturing, Renewable Energy Technologies, Alternative Fuels


• Basic concept of FSW and its merits over other joining processes • Development of CFD model for determination of tool forces in FSW • Development of finite element method to calculate the fatigue stress of the welding tool • Concept of damage accumulation method • Use of damage accumulation method and KBM multiaxial fatigue formulation to predict

fatigue life • Prediction of fatigue life in terms of tool rotational speed, welding speed and size of pin and

shoulder



• Knowledge and understanding of Friction Stir Welding Process and its parameters. • Knowledge of various Numerical techniques • Knowledge and hands-on CAE softwares like ANSYS, ABAQUS etc. • Knowledge and hands-on on statistical softwares like Minitab, Matlab etc.


: Renewable Energy : Performance Analysis of Single Basin Double Slope Solar Still : Dr. Ajay Kumar Kaviti : B. Tech, M.Tech, Ph.D

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: Metal Forming : FEA in Manufacturing, Renewable Energy Technologies, Alternative Fuels


• Realize the importance of pure water for sustenance and progress of the world • Identify the most prominent parameters affecting the distillate and develop a CFD model for

determination of distillate • Conduct number of simulations to identify optimum design parameters • Based on the optimum design parameters, fabricate the SBDSS • Perform the experiments and generate the experimental data to validate the CFD model


Requirements for the Project: • Knowledge and understanding of Solar Still and parameters affecting the distillate • Knowledge of heat transfer in terms of conduction, convection and radiation • Knowledge and hands-on CAD/CAE softwares like ANSYS, CATIA, ect


: Alternative Fuels : Performance and Emissions analysis of Plastic fuels : Dr. Ajay Kumar Kaviti : B. Tech, M.Tech, Ph.D : Metal Forming : FEA in Manufacturing, Renewable Energy Technologies, Alternative Fuels


• Realize the importance of alternative fuels for sustenance and progress of the world • Basic concepts of preparation of alternative fuels • Preparation of plastic oils from waste plastics • Perform Experiments on IC Engines performance and emissions for both diesel and petrol

plastic oils • Compare the results with conventional diesel and petrol


Requirements for the Project: • Knowledge and understanding of various alternative fuels • Knowledge of Performance and Emission parameters in IC Engines


: 3D Printing : Modelling and 3D Printing of a Component : A. N. Brahmeswara Rao : M.Tech : Production Science & Technology : 3D Printing/Rapid Prototyping, CAM, Metal Cutting, Production

Technology and Quality Improvement

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• A 3D model is prepared in CAD for a component initially, either full scale or reduced scale. A necessary orientation for 3D printing is also incorporated. CAD file is converted into a STL file, which is an input requirement of the file format for the 3D Printing. A dimensional analysis can be made between design dimensions and actual dimensions

Future Expansion: A set of components can be made for making an assembly.

Requirements for the Project: • CAD software, Metrology Instruments and 3D Printing machine.


: 3D Printing : Modeling and Manufacturing of a part using CAM software application : A. N. Brahmeswara Rao : M.Tech : Production Science & Technology : 3D Printing/Rapid Prototyping, CAM, Metal Cutting, Production

Technology and Quality Improvement Project Description: Following are the objectives of this project:

• A component is designed in CAD and used as an input to the CAM software. In CAM software, the process planning is done, tool selection is accomplished and a tool path is generated. Using a Post processor an NC program is automatically generated. The generated NC program is used as an input to the CNC machine through manual upload or DNC application and the part is machined. The machined part is checked for conformity of dimensions as per design.

Future Expansion: This project can be extended complicated shapes in future


• AutoCAD/ProE/CATIA, CAM Software, DNC software and CNC Machine

Project Domain Project Title -52 Guide Qualification Specialization Research Interests

: Design : Modeling And Simulation Of Automobile Braking System : V. Anandkumar : M.E : Machine Design : Fracture Mechanics, Laminated Composite Materials and Innovative

Design of machine elements Project Description: Following are the objectives of this project:

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• Identification of a critical machine or automobile component

• Thorough study of the component

• Modeling of the component using CATIA or other CAD software

• Analysis of the component using ANSYS or other CAE software

• Suggesting modification in the existing design

• Remodeling of the proposed design using CATIA or other CAD software




Requirements for the Project: • Expertise in CAD/CAE softwares like CATIA, ANSYS etc.



: Design : Design of car with two wheels : V. Anandkumar : M.E : Machine Design : Fracture Mechanics, Laminated Composite Materials and Innovative

Design of machine elements Project Description:

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• Thorough study of the existing mechanism

• Modeling of the components using CATIA or other CAD software

• Analysis of the components using ANSYS or other CAE software

• Suggesting modifications in or replacing the existing design

• Remodeling / Modeling of the proposed design using CATIA or other CAD software





• Expertise in CAD/CAE softwares like CATIA, ANSYS etc.



: Design : Design and Analysis of Automobile wheel rim : V. Anandkumar : M.E : Machine Design : Fracture Mechanics, Laminated Composite Materials and Innovative

Design of machine elements Project Description: Following are the objectives of this project:

• Thorough study of the existing wheel rim

• Modeling of the wheel using CATIA or other CAD software

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• Analysis of the wheel using ANSYS or other CAE software

• Suggesting modifications in or replacing the existing wheel

• Remodeling / Modeling of the proposed design using CATIA or other CAD software

• Analysis of the proposed wheel using ANSYS or other CAE software



Requirements for the Project: • Expertise in CAD/CAE softwares like CATIA, ANSYS etc.



: Design and Analysis : Design and Analysis of a Connecting Rod using Forged Steel : Kode Jaya Prakash : M.Tech, MISTE : Advanced Manufacturing Systems : Additive Manufacturing, Metal Cutting


• The connecting rod is the intermediate member between the piston and the crankshaft.

Currently existing connecting rod is manufactured by using carbon steel. The reason for

selecting the forged steel is because of more factor of safety and increase the stiffness. The

best combination of parameters like stress and strain, deformation for the two wheeler piston

has to be carried out by Ansys.

Future Expansion: This project can be extended for the reduction of weight


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• CATIA, ANSYS


: Additive Manufacturing : Analysis of a 3D Printed Differential Gears : Kode Jaya Prakash : M.Tech, MISTE : Advanced Manufacturing Systems : Additive Manufacturing, Metal Cutting


In this project the differential gear has to be designed and to be manufactured by using Rapid Prototyping technology. Two different densities have to be printed. Von Mises Stresses in the teeth of the gears has to be obtained by using Ansys. For this the ABS material has to be taken since this material is strong enough in case of polymers.

Future Expansion: This project can be extended for assessing the strength

Requirements for the Project: • CATIA, ANSYS and Knowledge on 3D Printing


: Design and Analysis : Analysis of a Two Wheeler Suspension Spring : Kode Jaya Prakash : M.Tech, MISTE : Advanced Manufacturing Systems : Additive Manufacturing, Metal Cutting


The present work has to be carried out on modeling, analysis and testing of a suspension spring. The stress and the deflections is going to be reduced by the new material. A Comparative study has to be carried out for the existing spring and the new material used. In these finite element analysis values of different materials has to be chosen.

Future Expansion: This project can be extended for the optimization of helical spring

Requirements for the Project: • CATIA, ANSYS

Project Domain Project Title - 58

: Thermal : Effect of ethanol blending with biodiesel on engine performance and

exhaust emissions in a CI engine

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Guide Qualification Specialization Research Interests

: Mrs Jayashri .N. Nair : M.E : Cryogenics : Thermal engineering


The main objective of this project is to improve the fuel characteristics of biodiesel by using a fuel extender to utilize pure biodiesel in diesel engines. The ethanol is selected for this purpose. The disadvantages of biodiesel include the higher viscosity and pour point, as well as the lower calorific value and volatility. For all above reasons, it is generally not accepted that blends of standard diesel fuel with 10% or up to 20% biodiesels can be used in existing diesel engines without any modifications. Consequently, in many cases the presence of a solvent additive in the biodiesel blend becomes necessary.

Future Expansion: The same fuel can be tested adding nano particles



: Thermal : Effect of addition of Additives in Emulsified Biodiesel Fuel : Mrs Jayashri .N. Nair : M.E : Cryogenics : Thermal engineering


Researchers look for new source of fuel alternating to the petrol and diesel, petrol and diesel are very expensive in the world, alternating fuel must be renewable, locally available and environmentally benign. From the alternative source, the significance of biodiesel fuel as technically and commercially viable alternative to petrol and diesel fuel. Depending on the availability of the different stocks biodiesel is made. Due to water emulsified in biodiesel fuel there is increase in ignition probability.

Future Expansion: By adding additives in emulsified biodiesel performance of engine should be increases..

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: Thermal : Effects of nanoparticle-blended water-biodiesel emulsion fuel on

working characteristics of a diesel engine : Mrs Jayashri .N. Nair : M.E : Cryogenics : Thermal engineering


In the world of increased emission standards, diesel engine plays a vital role in various applications. The oxides of nitrogen (NOx) and particulate matter (PM) are the major pollutants from diesel engines. To surmount these difficulties many researches were held out, at which diesel engine powered with emulsified fuel is one of the effective methods for cutting exhaust emissions. Water-Diesel-Vegetable oil (W-D-V) emulsions are identified as suitable fuel for regular diesel engines. The advantages of an emulsified fuel are reduction in the emissions of nitrogen oxides and particulate matters, which are both health hazards. It has also shown a reduction in fuel consumption and improved combustion efficiency.

Future Expansion: Endurance test may be carried out to observe the wear and tear of the piston,

piston rings and valve. Fuel additives such as diethyl ether (cetane improver) could be added as water

has no calorific value. Manufacturer’s settings such as injection timing, injection pressure, and

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compression ratio can be altered and optimized



: Advanced Manufacturing systems : Tool condition monitoring in drilling using vibration Analysis : K. Aruna Prabha : M. Tech : Advanced Manufacturing Techniques : Production technology, Manufacturing, Machining


A study is made on monitoring tool wear and failure in drilling using vibration signature analysis

techniques. Discriminant features, which are sensitive to drill wear and breakage,will be developed in

both time and frequency domains. The effect of different types of wear on the vibration power spectra,

in both the transverse and the thrust directions, will also be investigated.

Future Expansion: Vibration analysis can also be extended to boring tools

Requirements for the Project: The minimum requirements are, disciplined B.Tech./M.Tech. Students, with a commitment to learn and practice. The students should have machining knowledge and mathematical knowledge for formulation


: Manufacturing Systems : Design analysis and comparison of a turbine blade by manufacturing

using cnc milling and 3D printing : K. Aruna Prabha : M. Tech : Advanced Manufacturing Techniques : Production technology, Manufacturing, Machining

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The aim of the project is to design manufacture a turbine blade both in CNC milling and 3d printing and perform analysis and compare the results and dimensions Future Expansion: 3D rapid tool building for worn out blades can be developed

Requirements for the Project: • knowledge on machining, production technology, Rapid prototyping


: Manufacturing Systems : Design and Fabrication of Automatic Sheet Metal Cutting Machine : K. Aruna Prabha : M. Tech : Advanced Manufacturing Techniques : Production technology, Manufacturing, Machining


The sheet metal cutting process is a main part of the all industries. Normally the sheet metal cutting machine is manually hand operated one for medium and small scale industries. Automation in the modern world is inevitable. Any automatic machine aimed at the economical use of man, machine, and material worth the most. In our project is solenoid valve and control timing unit is used for automation. The sheet metal cutting machine works with the help of pneumatic double acting cylinder. The piston is connected to the moving cutting tool. It is used to cut the small size of the sheet metal. The machine is portable in size, so easy transportable

The compressed air from the compressor is used as the force medium for this operation. There are pneumatic double acting cylinders solenoid valves, flow control valve and the timer unit is used. The arm from the compressor enters to the flow control valve. The controlled air from the flow control valve enters to the solenoid valve. The function of solenoid valves all of air correct time interval. The 5/2 solenoid valve is used. In one position air enters to the cylinder and pushes the piston so that the cutting stroke is obtained. The next position air enters to the other side of cylinder and pusses the piston return back, so that the releasing stroke is obtained. The speed of the cutting and releasing stroke is varied by the timer control unit circuit

Future Expansion: A same cutting machine can be hydraulic which can be developed

Requirements for the Project: • Knowledge on pneumatic systems, solenoid valves, production technology.

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: Metal Joining Techniques : Modeling and optimization of FSW parameters for aluminium alloys using RSM : M.S.Srinivasa Rao : M.Tech : Advanced Manufacturing Systems : Welding and Manufacturing


• Design of experiments for FSW on various Aluminum alloys • Conducting experiments and obtaining results like Tensile Strength, Yield Strength, Hardness

etc. • Analyzing and optimizing the results • Study and selection of appropriate optimization techniques • Optimization of the process parameters • Comparing the results of optimized results with the experimental ones.



• Knowledge on various material properties. • Knowledge and understanding of FSW process. • Knowledge of various optimization techniques. • Knowledge and hands-on on statistical soft wares like Minitab, Matlab etc.

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: Metal Joining Techniques : Influence of tool geometry on metallurgical and mechanical properties of friction stir welded dissimilar materials. : M.S.Srinivasa Rao : M.Tech : Advanced Manufacturing Systems : Welding and Manufacturing


• Selection of base materials and tool materials • Design of experiments for FSW process • Design of tool geometry • Manufacturing of the tools • Conducting experiments and obtaining results like Tensile Strength, Yield Strength, Hardness

Bending strength, Fatigue strength etc • Study of the microstructure by SEM



• Knowledge on various material properties. • Knowledge on understanding of FSW process. • Knowledge on effect of tool geometry on weldments. • Knowledge on soft wares like Auto-Cad, CATIA etc.

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: Thermal : An Experimental Investigation Of Free Cooling By Natural Convection Of Vertical Surfaces For Building Integrated Photovoltaic (Bipv) Applications : D. Sarath Chandra : B.Tech : Material Science and Technology : Heat Transfer, Composite materials and IC engines


• An experimental study is carried out to investigate the effect of the geometrical configuration on the thermal performance of a series of vertical heaters cooled by natural convection of air.

• The aim of the work is to investigate the physical mechanisms which influences the thermal behaviour of a double-skin photovoltaic(PV) façade.

• This results in a better understanding of the related phenomena and infers useful engineering information for controlling the energy transfers to the building where the PV system is applied.

• Different heating configurations are analysed ,including the uniform heating mode and two different configurations of non uniform, alternate heating. The experimental procedure allows the wall temperature and local heat transfer coefficient to be inferred and shows that the proper selection of the separatingdistance and heating mode can noticeably decrease the surface temperatures and hence enhance the conversion efficiency of PV modules.


• Heat transfer lab natural convection experiment • Knowledge of heat transfer and composite materials


: Heat Transfer : An Inclinometer based on Free Convective Motion of a Heated Air Mass : D. Sarath Chandra : B.Tech : Material Science and Technology

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Research Interests : Heat Transfer, Composite materials and IC engines Project Description: Following are the objectives of this project:

• A thick-film fit sensor has been developed bared on heat transfer by natural convection • The device measures internal changes in heat transfer caused by the

Inclination using the force of gravity as an input. • The device is functionally equivalent to traditional proof mass accelerometer. • A conditioning electronic amplifies the signal variation induced by the inclination

compensating the deviation due to the initial asymmetrical values of the bridge arms and their slow variations.


• Heat transfer lab natural convection experiment • Knowledge of heat transfer and composite materials • An Inclinometer


: Material Science and Technology : Experimental study of composite materials used for marines : D. Sarath Chandra : B.Tech : Material Science and Technology : Heat Transfer, Composite materials and IC engines


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• Identify study and understand a different material used for marine applications • Modeling of manufacturing system hydraulic press • Conducting of different test to draw s-n curves • Identify their thermal behavior at different temperatures


Requirements for the Project: • Knowledge of composite materials • Knowledge of hydraulic press and materials technology


: Fluid Power System : Inter phasing in Manufacturing Systems : J. Peter Jones : M. Tech : M/c Tools : Fluid Power Systems, Manufacturing Engineering.

Project Description: Following are the objectives of this project: (M. Tech.)

• Identification of functional requirements • Loads on the system • Material for different components. • Features required in the product • Material Handling and Automation. • Suggestions for the future work.

Future Expansion: Suggestions for the future work will be decided at the end of the present work.

Requirements for the Project: • Knowledge of Fluid Mechanics Hyd. Machinery. • Knowledge of general Manufacturing Processes.


: Fluid Power Systems : Electro-Pneumatic Sorting Drive System : J. Peter Jones : M.Tech

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: M/c Tools : Fluid Power Systems, Manufacturing Engineering.

Project Description: Following are the objectives of this project: (M. Tech.)

• Identification of functional requirements • Loads on the system • Material for different components. • Features required in the product • System Designing using Pneumatic Actuators. • Suggestions for the future work.

Future Expansion: Suggestions for the future work will be decided at the end of the present work.


• Knowledge of Fluid Mechanics Hyd. Machinery. • Knowledge of general Manufacturing Processes.


: Thermal : Effect of Biodiesels properties on Performance of CI Engine : Soumya Ranjan Pradhan : M.Tech : Thermal Engineering : Alternate Fuels (Biodiesel), Heat transfer

Project description: Gaining in popularity, biodiesel mimics petroleum-based diesel fuel and is derived from vegetable or animal oils. In fact, several biodiesel companies simply collect used restaurant cooking oil and convert it into biodiesel. What’s more exciting is the more recent promise of biodiesel-generating algae and bacteria strains. Scientists are even genetically engineering these microorganisms to create biodiesel lipids with minimal or no feedstock necessary, just sunlight and CO2, much like plant photosynthesis. Advantage

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• It’s also renewable. Sufficient plant, algae or bacteria crops can yield abundant biodiesel fuel. • It’s recycled. Much of the biodiesel on the market is derived from used cooking vegetable oils. • Domestic production reduces dependence on foreign fossil fuels and boosts rural farming

economies. • Reduces tailpipe emissions compared to petroleum-based diesel, is cleaner burning, and

contains no sulfur, eliminating sulfur dioxide emissions. Disadvantage

• Biodiesel is currently more expensive to commercially produce than petroleum diesel as production infrastructure is not yet on a mass-scale

• Biodiesel is susceptible to cold weather, and can gel when the temperature drops, causing fuel injection problems (although this can be fixed with costly engine modifications).

• While several diesel vehicle engines can run on biodiesel with minimal or no modifications, biodiesel does not work in standard gasoline engines.

• Biodiesel production increases food costs, both in food crops used to generate biodiesel, as well as feedstocks for biodisel generating algae and bacteria.

Future Expansion: Various biofuel can be tested for obtaining best performance of CI engines which in result gasoline can be replaced by biodiesel Requirements:

• Multifuel Engine- Available • Biodiesel • Smoke meter and combustion analyzer - Available


: Thermal : SOLAR Chimney : Soumya Ranjan Pradhan : M.Tech : Thermal Engineering : Alternate Fuels (Biodiesel), Heat transfer

Project description: Also referred to as a thermal chimney, a solar chimney provides a natural way of improving the ventilation of buildings by making use of the convection of passive solar energy heated air. As we all know, earth temperature is on a rise and would keep on increasing until we reduce greenhouse gases from the atmosphere. In this project we are using solar energy which actually a main source of heat on earth to not only for ventilation but also for cooling the building or a house. When incorporated in a building, it helps reduce the energy used by mechanical means. A solar chimney works on the principle that as hot air rises, so when chimney gets heated by the sunlight, air inside the chimney starts to get warmer and lighter; due to which it moves outside leaving

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vacuum behind and because of this, a weak negative pressure is formed which causes an air flow from the building and towards the chimney. In order to improve the efficiency in heat absorption, the chimney should be painted black and it is also advisable to use materials which are high absorbers of heat. These materials include tinted glass, insulating glazing and black frames. It is also important to design the size of the chimney appropriately as the large the chimney the more is its effectiveness. Advantage

• Helps to improve ventilation especially when it is hot and still outside • Since it is a quiet method, it improves the quality of the air in a room without resulting into

noise pollution • It can be used during the night as well to increase the ventilation rates • Reduces the reliance on wind driven ventilation and also can help to reduce energy costs

incurred as a result of using electrical fans etc. • It allows the ventilation of small and narrow places

Future Expansion: Numerical Analysis of the factors affecting the flow of air through the chimney Requirements: Solar thermocol, tinted glass, insulating glazing and black frames


: Thermal : A working model of heat pipe : Soumya Ranjan Pradhan : M.Tech : Thermal Engineering : Alternate Fuels (Biodiesel), Heat transfer

Project description: A heat pipe is simply a device which, by combining principles of thermal conductivity and phase transition is able to efficiently transfer heat between two interfaces. A heat pipe has two areas namely; a hot interface and a cold interface. As the liquid travels through the hot interface (1), it turns into vapor as a result of absorbing heat from the surface. This vapor travels along the pipe (2) towards the cold interface (3) and due to the drop in temperature, it condenses into a liquid and in the process releases latent heat. This liquid then returns to the hot interface (4) through various methods including gravity, capillary action or centrifugal force. This triggers a repeat of the action resulting in a series of endless cycles. Future Expansion: model can be used to describe the efficient heat exchanger.

Requirements: Casing (Aluminium or steel), Heat Exchange fluid, Thermocouples


: Computer Integrated Manufacturing : Inventory Control through Lot Sizing using IWO Algorithm : Sahithi V V D : M.Tech : Computer-Integrated Manufacturing : Production technology, soft computing, Inventory Control

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Project Description The lot-sizing problem attracted attention because of its impact on the inventory levels and, hence the inventory holding cost and the setup/ordering cost. It is basically concerned with finding order quantities minimizing the total cost of lot sizing decisions. Lot quantity might be either an amount of purchase or production depending on the problem domain on hand in order to meet the net requirements of the customer demand. In lot sizing problems, time horizon is defined as given time buckets in which quantity decisions are generally given at the beginning of each time bucket. Lot sizing decisions are made in such a way that all customer requirements are met at the end of the time horizon. In this paper, we consider the uncapacitated, single-item, no shortages-allowed and single-level lot sizing model and solve it by a IWO Algorithm Future Expansion of the project: We can work on more soft computing techniques which can converge to a solution very quickly . As a future work, the binary IWO can be applied to the capacitated, multi-item, multi-level lot sizing problems. Requirement for the Project: To know about advanced research going on in the computerization of manufacturing systems


: Computer Integrated Manufacturing : Optimization of Multi Item Lot Sizing using IWO Algorithm : Sahithi V V D : M.Tech : Computer-Integrated Manufacturing : Production technology, soft computing, Inventory Control

Project Description : The objective of this research is to calculate the optimal inventory lot-sizing for each Item and minimize the total inventory cost which includes joint purchase cost of the products, transaction cost for the suppliers, and holding cost for remaining inventory. IWO algorithms are applied to the multi-product and multi-period inventory lot-sizing problems .The decision maker needs to determine what products to order in what quantities with which suppliers in which periods. It is assumed that demand of multiple products is known over a planning horizon. The problem is formulated as a mixed integer programming and is solved with the IWO. The detailed computation results are presented. Future Scope : We can work on more soft computing techniques which can converge to a solution very quickly and also we can try to implement soft computing techniques to different engg problem like scheduling...etc. Requirement for the Project: To know the type of research going on in the field of mechanical engineering especially in the computer integrated Manufacturing area.


: Computer Integrated Manufacturing : Wagner whitin Technique and PSO comparision for Lot Sizing optimization : Sahithi V V D : M.Tech : Computer-Integrated Manufacturing

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: Production technology, soft computing, Inventory Control Project Description : Several factors should be considered when lot-sizing decisions are given. These factors are ordering cost, holding cost, shortage cost, capacity constraints, minimum order quantity, maximum order quantity, quantity discounts and so on. Combination of these factors results in different models to analyze and different solution procedures are used depending on the model employed. In this paper, we consider the uncapacitated, single-item, no shortages-allowed and single-level lot sizing model and solve it by a binary particle swarm optimization (PSO) algorithm.after solving the problem results have been compared with Wagner whitin Technique Future Scope: As a future work, the binary Invasive Weed Optimization Technique can be applied to the capacitated, multi-item, multi-level lot sizing problems which is giving satisfactory results in scheduling problems. Requirement for the Project: To know different techniques which can optimize with appropriate results in less time.


: Design and analysis : Design and Analysis of Rocker Arm : N. Srilatha : M.Tech : CAD/CAM : Production technology, Ansys, CAD/CAM

Project Description : CAD models of Rocker Arm was created using CAD and ANSYS software is used for analysis of rocker arm. The CAD model was inputted in ANSYS Workbench and Equivalent Stress and Maximum Shear Stress are calculated. The obtained results provided by ANSYS Workbench are compared to the results obtained by manual calculation. Future Expansion of the project: Simulation can also be performed and further analysis can be done Requirement for the Project: The minimum requirements are, disciplined B.Tech./M.Tech. Students, with a commitment to learn and practice. The students should have know any one CAD package and ANSYS to perform analysis


: Modeling and Analysis : Design and Analysis of composite Spur gear : N. Srilatha : M. Tech : CAD/CAM : Production technology, Manufacturing, CAD/CAM

Project Description:. To design the spur gear model using CAD software. To study the impact

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analysis for cast steel and composite materials. To study the torque loading for cast steel and composite materials. Finally, comparing and analyzing of the composite gear with existing cast steel gear is to be done. Future Expansion of the project: Can be extended to other gears or composite materials Requirement for the Project: Knowledge on Composite materials and Gear design, Design Softwares, ANSYS


: Analysis : Press Tools Analysis using CATIA : N. Srilatha : M. Tech : CAD/CAM : Production technology, Manufacturing, CAD/CAM

Project Description : With CATIA software the creation of catalogue of pressed parts are enabled, parametric creation of pressed tools, quick design of required press tool and verification of correctness press tool design are done. Future Expansion of the project: Analysis can be performed

Requirement for the Project: Knowledge on Design software’s.


: Computer Aided Manufacturing : Single Objective Optimization of Milling Parameters Using Genetic Algorithm : K. Bharathi : M.Tech : CAD/CAM : Production technology, soft computing, optimization techniques


Since the industrial revolution, metal cutting has been a mojor machining process in manufacturing industries. One problem that confronted the machining industries for nearly a century was the establishment of efficient metal cutting conditions for machining operations. Because of the dependancy of machining process outputs upon cutting conditions, decisions upon cutting conditions have a great influence on production rate, operation cost and product quality. With wide applications of computer numerical control (CNC) and keen competition among manufactures, the optimization of cutting conditions becomes increasingly important. The parameters are to be optimized for mimimizing the surface roughness. In this project the parameters are to be optimized using Genetic Algorithm technique.

Future Expansion of the project: We can work on more optimizing techniques like PSO.

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Requirement for the Project:

• To know about Design of Experiments for selecting the parameters for optimization • To know about MATLAB to implement the Genetic Algorithm Technique


: Computer Aided Manufacturing : Single Objective Optimization of Turning Parameters Using Taguchi Method : K. Bharathi : M.Tech : CAD/CAM : Production technology

Project Description : .

Since the industrial revolution, metal cutting has been a mojor machining process in manufacturing industries. One problem that confronted the machining industries for nearly a century was the establishment of efficient metal cutting conditions for machining operations. Because of the dependancy of machining process outputs upon cutting conditions, decisions upon cutting conditions have a great influence on production rate, operation cost and product quality. With wide applications of computer numerical control (CNC) and keen competition among manufactures, the optimization of cutting conditions becomes increasingly important. The turning parameters are to be optimized for mimimizing the surface roughness. In this project the parameters are to be optimized using Taguchi Method technique.

Future Scope : We can work on more optimizing techniques like PSO, GA and compare the results Requirement for the Project:

• To know about Design of Experiments for selecting the parameters for optimization. • To know about MINITAB to implement the Taguchi Method.

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: Computer Aided Manufacturing : Multi Objective Optimization of Milling Parameters Using ANN and Genetic Algorithm : K. Bharathi : M.Tech : CAD/CAM : Production technology


In machining process the majority of the pioneering work was concerned with the mechanism of chip formation and the emphasis was on the study of forces acting between cutting tools and work pieces. As the volume of machining operations increased, researches began to investigate the cutting parameters that could improve production efficiency in machining processes. Quantitative methods for optimization of machining operations based on a single objective such as minimization of surface roughness and maximization of material removal rate. By using MATLAB Software, neural networks, single objective genetic algorithm and multi objective genetic algorithm, number of iterations are performed until the results converge. The results obtained by single objective genetic algorithm are compared with the multi objective genetic algorithm. Future Scope : We can work on more optimizing techniques like PSO, ACO, IWO. Requirement for the Project :

• To know about Design of Experiments for selecting the parameters for optimization. • To know about MATLAB for Implementing the ANN and GA

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: Nano Fluids and Heat Transfer Analysis : Numerical Analysis on Heat Transfer Enhancement of Double Pipe Heat

Exchanger using copper oxide (CUO)/Water Nanofluid and Baffled Twisted Tape Inserts by using CFD.

: K Krishna Murthy : M.Tech. : Thermal Power Engineering : Convective Heat transfer and Fluid flow Analysis, Design of Heat

Exchanger Equipment, Nano Technology, Computational Fluid Dynamics Analysis

Project Description: To study the effect of copper oxide (CUO)/water nanofluid and baffled twisted tape inserts in double pipe heat exchanger as compound augmentation technique.

• Study on the effect of nanofluids, nanoparticle concentrations, and nanoparticle diameter, the effect of Reynolds number, Nusselt number, velocity, wall shear stress and pressure drop in the Micro Channels.

• Modeling of the Test section by using GAMBIT or other Designing software • Analysis of the test section by using FLUENT software • Comparison of the Numerical Result with the Experimental Results. •


• Expertise in ANAYS FLUENT software, like Fluent, GAMBIT etc. • Knowledge of ANAYS FLUENT, Design and Nano Technology


: Nano Fluids and Heat Transfer Analysis : Numerical Analysis on Heat transfer enhancement of nanofluids flow in

micro-channels with constant heat flux by using CFD.

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: K Krishna Murthy : M.Tech. : Thermal Power Engineering : Convective Heat transfer and Fluid flow Analysis, Design of Heat

Exchanger Equipment, Nano Technology, Computational Fluid Dynamics Analysis

Project Description: To study the effect of copper oxide (CUO)/water nanofluid and baffled twisted tape inserts in double pipe heat exchanger as compound augmentation technique.

• Study on the effect of nanofluids, nanoparticle concentrations, and nanoparticle diameter, the effect of Reynolds number, Nusselt number, velocity, wall shear stress and pressure drop in the Micro Channels.

• Modeling of the Test section by using GAMBIT or other Designing software • Analysis of the test section by using FLUENT software • Comparison of the Numerical Result with the Experimental Results.


Requirements for the Project: • Expertise in ANAYS FLUENT software, like Fluent, GAMBIT etc. • Knowledge of ANAYS FLUENT, Design and Nano Technology


: Heat transfer analysis : Experimental and Numerical Analysis on solar Still by Using CFD

(FLUENT software) : K Krishna Murthy : M.Tech. : Thermal Power Engineering : Convective Heat transfer and Fluid flow Analysis, Design of Heat

Exchanger Equipment, Nano Technology, Computational Fluid Dynamics Analysis, Solar energy,


• Modeling of the test section by using GAMBIT or other Designing software • Analysis of the test section by using FLUENT software • Correlation with the Experimental data • Study on the effect of heat transfer and purification of the water

Comparison of the Numerical Result with the Experimental Results. Future Expansion: It can be decided at the end of the Project.

Requirements for the Project: • Expertise in ANAYS FLUENT software, like Fluent, GAMBIT etc. • Knowledge of ANAYS FLUENT, Design, Heat transfer, and solar Energy.


: Energy Systems : Experimental comparison of pure hydrogen and HHO (hydroxy) enriched

biodiesel (B10) fuel in a commercial diesel engine : P. Prasad Kumar : M.Tech. : Energy Systems

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Research Interests : Thermal

Project Description: Following are the objectives of this project: Main objective of this study is to compare performance and emission characteristics of a pilot injection diesel engine with the additions of alternative fuels like pure hydrogen, HHO and biodiesel. In order to achieve this goal, Helianthus annuus (sunflower) biodiesel was produced and blended with volumetric ratio of 10% with diesel fuel. Additionally, intake air was enriched with pure hydrogen or HHO via intake manifold without any structural changes except reduction of injected diesel fuel on the 3.6 L, four cylinders, four stroke diesel engines. Amount of Hydrogen fuel supplied to the engine was adjusted to constant 10 L/min during the experiments. The effects of pure hydrogen and HHO usage with the addition of biodiesel to the engine performance values (Brake Torque, Brake Power and Brake Specific Fuel Consumption) and exhaust emission values (NOx, CO2, CO) were investigated in between 1200 and 2600 rpm engine speeds. Engine performance values were increased with the enriching the intake air with HHO than pure hydrogen compared to the standard diesel fuel operating condition. On the other hand, in terms of exhaust gas emissions, pure hydrogen provided better results than HHO. In both cases, changes on the engine performance results were minimal however improvements on exhaust gas emissions were very promising



: Energy Systems : Effect of hydroxy (HHO) gas addition on gasoline engine performance

and emissions : P. Prasad Kumar : M.Tech. : Energy Systems : Thermal

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The objective of this work was to construct a simple innovative HHO generation system and evaluate the effect of hydroxyl gas HHO addition, as an engine performance improver, into gasoline fuel on engine performance and emissions. HHO cell was designed, fabricated and optimized for maximum HHO gas productivity per input power. The optimized parameters were the number of neutral plates, distance between them and type and quantity of two catalysts of Potassium Hydroxide (KOH) and sodium hydroxide (NaOH). The performance of a Skoda Felicia 1.3 GLXi gasoline engine was evaluated with and without the optimized HHO cell. In addition, the CO, HC and NOx emissions were measured using TECNO TEST exhaust gas analyzer TE488. The results showed that the HHO gas maximum productivity of the cell was 18 L/h when using 2 neutrals plates with 1 mm distance and 6 g/L of KOH. The results also showed 10% increment in the gasoline engine thermal efficiency, 34% reduction in fuel consumption, 18% reduction in CO, 14% reduction in HC and 15% reduction in NOx.



: 3-D Printing : Modelling and Fixing a fractured arthrodesed hip with rapid prototype

templating and minimal invasive plate osteosynthesis : Mr.Soppari Bhanu Murthy : B.Tech, M.E, : Advanced Manufacturing Processes : Rapid Prototype ,Cad/Cam and Quality Engineering


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• Identification of a Fractured hip • Thorough study of the component • Modeling of the component using software • Suggesting modification in the existing design • 3_D Printing of the proposed design • Analysis of the proposed design


• Identify Fractured hip • Expertise in software’s like Catia, ANSYS etc. • Knowledge of Materials . • Knowledge of 3D printer.


: Automation : Automation and the situation awareness of drivers in agricultural semi-

autonomous vehicles : Mr. Soppari Bhanu Murthy : B.Tech, M.E, : Automation : Automation, CAD/CAM and Quality Engineering


• Automation design; • Situation awareness; • Agricultural vehicle; • Situation awareness rating technique


Requirements for the Project: • Modeling.

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• Knowledge of various optimization techniques • Knowledge and hands-on on statistical software’s like Catia etc.


: Fracture mechanics : Crack prediction using nonlinear finite element analysis during pattern

removal in investment casting process : Mr.Soppari Bhanu Murthy : B.Tech, M.E, : Advanced Manufacturing Processes : Fracture mechanics, Finite element Analyses, Quality Engineering


• Identify Crack • knowledge on Finite element analysis • Firing Investment casting • Foam decomposition


Requirements for the Project: • Knowledge of Fracture mechanics • Knowledge and hands-on softwares like catia,Ansys etc.


: Heat Transfer Enhancement : Heat Transfer Enhancement of Double Pipe Heat Exchanger using Aluminium, Brass, Copper Twisted Tape Inserts. : L. Sandeep Raj : M.Tech. : Thermal Engineering : Heat Transfer Enhancement

Project Description: To study the effect twisted tape inserts in double pipe heat exchanger as passive augmentation technique.

• Fabrication of Aluminium, Brass, Copper Twisted Tapes • Fabrication of Double Pipe Heat Exchanger • Correlation with the Experimental data • Study on the effect of heat transfer and pressure drop • Evaluate the Performance of the heat exchanger • Comparison of Different Materials Twisted Tapes


Requirements for the Project: • Heat Transfer Subject Expertise

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: Heat Transfer Enhancement : Heat Transfer Enhancement of Double Pipe Heat Exchanger using

Tapered Twisted Tape Inserts. : L Sandeep Raj : M.Tech. : Thermal Engineering : Heat Transfer Enhancement

Project Description: To study the effect twisted tape inserts in double pipe heat exchanger as passive augmentation technique.

• Fabrication of Aluminium, Brass, Copper Twisted Tapes • Fabrication of Double Pipe Heat Exchanger • Correlation with the Experimental data • Study on the effect of heat transfer and pressure drop • Evaluate the Performance of the heat exchanger • Comparison of Different Materials Twisted Tapes


Requirements for the Project: • Heat Transfer Subject Expertise


: Heat Transfer Enhancement : Heat Transfer Enhancement of Double Pipe Heat Exchanger using

Tapered Twisted Tape Inserts using ANSYS. : L. Sandeep Raj : M.Tech. : Thermal Engineering : Heat transfer Enhancement, CFD


• Modelling of Double Pipe Heat Exchanger • Correlation with the Experimental data • Study on the effect of heat transfer and pressure drop • Evaluate the Performance of the heat exchanger • Comparison of Performance of Tapered Twisted Tapes over Classical Twisted Tapes • Validate with Experimental Results


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• Basic knowledge of any Modelling Software • Heat Transfer Subject Expertise


: Bioinspired Materials & Nanotechnology : Experimental Investigation of Robust Self Cleaning Surfaces : S. V. Amarnadh : B.Tech, M.Tech : Nanotechnology : Bioinspired Materials and Mechanics, Nanotechnology


Self-cleaning is a phenomenon at the surface and interfaces of materials that have the ability to

stay clean even from dirty water. Leaves of many water-repellent plants such as the lotus, rose,

rice etc., have hierarchical micro and nano scale structures that lead to superhydrophobicity

and self cleaning behavior. Superhydrophobicity or Lotus Effect is a phenomenon of non

wetting of water on surfaces with contact angles with greater than 1500. There is a great need

for such non-adhesive and self-cleaning materials and surfaces, especially for small and energy

relevant devices.

The work will be in the development and experimental analysis of low cost self cleaning surfaces on metal surfaces by engineering the surfaces at micro- and nano- scales. The work would be beneficial to industries involved in producing wind shields, mirrors, automotives, low friction piping and aerospace applications.

Future Expansion: Low Cost Production of Tough and Scratch Resistant Superhydrophobic Surfaces Requirements for the Project:

• Passion and Dedication • Good Fundamental Knowledge & Interest in Mechanics and Materials

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: Bioinspired Materials & Nanotechnology : Production of Superhydrophobic Filters for Oil-Water Separation : S. V. Amarnadh : B.Tech, M.Tech : Nanotechnology : Bioinspired Materials and Mechanics, Nanotechnology


Superhydrophobicity or Lotus Effect is a phenomenon of non wetting of water on surfaces

with contact angles with greater than 1500. Similarly the ability to repel organic liquids is

called oleophobicity and huge scope in many applications.

Surfaces with only superhydrophobic character usually wet the oils and such membranes could

be used for oil-water separation. Such materials would be of immense help in oil cleaning and

sustainable applications

The work will be in the development and experimental analysis of low cost filters by engineering the surfaces at micro- and nano- scales.

Future Expansion: Analysis of Different Liquids and Dynamics over the Synthesized Filters Membranes Requirements for the Project:


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: Bioinspired Materials & Nanotechnology : Production of Strong & Tough Sea Shell Like Nano Composite Structures : S. V. Amarnadh : B.Tech, M.Tech : Nanotechnology : Bioinspired Materials and Mechanics, Nanotechnology


Many natural materials such as sea shells have architectural structures at micro and nano-

scales that provide very high strength and high toughness, which is still marked impossible in

manmade structures. A trade off has to be made in general to produce high strength and high

toughness artificial materials.

But understanding hierarchical structures of natural materials would pave a path for

developing such outstanding materials for engineering applications.

Such mimicked abilities of natural materials find their applications in sustainable engineering

in the areas of aerospace, energy, civil, mechanical, high strength materials and many daily life

applications.

The work will be in the study of nano and micro structures of sea shells. Production, strength and toughness analysis of sea shell like structures will be carried out

Future Expansion: Low Cost Production and analysis of Super Tough and Strong Materials Requirements for the Project:

• Passion and Dedication • Good Fundamental Knowledge & Interest in Mechanics, Materials & Composites

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: Bioinspired Materials & Nanotechnology : Analysis of Mechanical Stability of Spider Web Design of a Specific Spider Species : S. V. Amarnadh : B.Tech, M.Tech : Nanotechnology : Bioinspired Materials and Mechanics, Nanotechnology

Project Description: The web of a spider is a lightweight structure and the design is found to help in prey attraction and predator repulsion. There are a lot of studies on spider silk as a high-performance polymeric fiber. However, work is still needed to understand the mechanical stability of few spider webs. Here, work will carried out in modeling and analysis of spider web using software packages. Based on the results the future scope and experimental investigations of the same will be planned. Future Expansion: Experimental Investigations of the Spider Web Design Requirements for the Project:



: Analysis : Analysis of material deformation and wrinkling failure in conventional

metal spinning process

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: Mr. H. Naresh : M. Tech : Engineering Design : Composites Analysis

Project Description: Sheet metal spinning is one of the metal forming processes, where a flat metal blank is rotated at a high speed and formed into an axisymmetric part by a roller which gradually forces the blank onto a mandrel bearing the final shape of the spun part.. This aims to gain insight into the material deformation and wrinkling failure mechanics in the conventional spinning process by employing experimental and numerical methods. In this study, a tool compensation technique has been proposed and used to develop CNC multiple roller path (passes). 3-D elastic-plastic Finite Element (FE) models have been developed analyze the material deformation and wrinkling failure of the spinning process. In addition, it may provi a practical approach of standardized operation for the spinning industry and thus improve the product quality, process repeatability and production efficiency. Furthermore, effects of process parameters, e.g. roller path profiles, feed rate and spindle speed, on the variations of tool forces, stresses, strains, wall thickness and wrinkling failures have also been investigated. Using a concave roller path produces high tool forces, stresses and reduction of wall thickness. Conversely, low tool forces, stresses and wall thinn have been obtained in the FE model which uses the convex roller path.

Future Expansion: Wrinkling failure analysis and material deformation during spinning process.


• Knowledge on Metal spinning Process • Conducting experiments and obtaining results like Tensile Strength, Yield Strength,

Fatigue by using Software. • Knowledge on Ansys


: Design and analysis : Design and Modeling of Automatic power transmission system. : Mr. H. Naresh : M. Tech : Engineering Design : Design, Modeling and Analysis

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Project Description: This focuses on investigating the design, modeling and control methodologies, which can enable smooth and energy efficient power transmission for conventional, hybrid and future automotive propulsion systems. The fundamental requirements of the modern power transmission system are: (1). It should be able to shift the torque transmission ratio efficiently and smoothly to enable the fuel efficient operation of the power source. (2). It should be able to reject/damp out the power source torque oscillation in an energy saving fashion to avoid rough torque transfer to the driveline. Critical factors determining the successful power transmission include the appropriate control of the power transfer key components (clutches), the optimal power transmission coordination with the automotive driveline system, and the capability to smooth out the power source input oscillation in a fuel efficient fashion. To meet these resolutions, this will investigate the enabling design and control methodologies for power transmission in three levels: the fundamental clutch level, the intermediate driveline level, and the entire propulsion system level. First, the clutch level design is investigated in two categories: open loop control and closed loop control Second, the driveline level design considers optimizing the power transmission coordination with the driveline. Optimal conditions to achieve efficient and smooth torque transfer are formulated. The nonlinear optimization is then solved using the Dynamic Programming. Finally, in the propulsion system level, the engine start/stop torque oscillation rejection problem for hybrid vehicle and future advanced combustion system is discussed. Through proper formulation, this problem can be treated as disturbance rejection for a linear parameter varying (LPV) system under the internal model principle.

Future Expansion: Power transmission system, their requirements and uses Requirements for the Project:

• Knowledge and understanding of Automatic Power transmission system • Knowledge of various FEM • Knowledge on Modeling and CAE


: Design and analysis : Design optimization and analysis of seat mounting braket in four wheelet model : Mr. H. Naresh : M. Tech : Engineering Design : Designing, Modeling, Analysis and Optimization.

Project Description: Seat mounting bracket which is used to mount with four wheeler utility vehicle and that is fixed at bottom of driver set .The driver seat frame structure is designed with hollow pipes and metal plates the complete assembly of seat fixed on the four wheeler vehicle floor panel . The same is mount with the

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help of mounting bracket.

The objective of this project is to reduce un-necessary material to reduce cost and to provide optimized the design and make analysis with existing load condition. By changing design we get weight reduced with deletion of two Bolt and Nuts with new design bracket. The design is easier to manufacture, less time taken in assembly process, easy to handle, no damages. Previous design was Hollow pipe is welded to metal plate. But new design is metal plate form to circular at one end And other end is fixed to Floor panel. Overall we get weight and cost reduced Future Expansion: Seat mounting bracket optimization

Requirements for the Project: • Knowledge on materials, modeling is Pro/Engineer and for analysis is ANSYS and Optistruc.


: Production(composites) : Study of Mechanical Behavior OfAluminumAl6063 And Fly ash Composite : Mr. K Nagendra Babu : M. Tech : Machine Design : composites, Nanocomposites

Project Description: This metal matrix composites (MMCs) are of great interest in industrial applications for its lighter weight with high specific strength and heat resistance. The processing of MMCs by casting process is an effective way of manufacturing. In this work a metal matrix composite with the aluminum AL6063 is a base metal and fly ash filler material. Proposed to study the variation of the mechanical properties namely tensile strength, Compression strength, Hardness, wear Resistance, Impact strength and fatigue strength with increase of ash from 0%to25% in steps of 5%.In this work it is aimed to find the optimum percentage of fly ash in aluminum for better mechanical properties. Future Expansion: metal matrix composites, Fly ash , AluminumAl6063

Requirements for the Project: • Knowledge on metal matrix composites • Conducting experiments and obtaining results like Tensile Strength, Yield Strength, Hardness


: Production : Friction stir welding of aluminium alloys : Mr. K Nagendra Babu : M. Tech : Machine Design : composites, Nanocomposites


262


• Similar or dissimilar FSW on various Aluminum alloys • Conducting experiments and obtaining results like Tensile Strength, Yield Strength, Hardness

etc. • Analyzing and optimizing the results

Future Expansion: Aluminum alloys, Friction stir welding, Butt joint Requirements for the Project:

• Knowledge and understanding of FSW process. • Knowledge of various Mechanical properties • Knowledge on various Testing’s Like Impact, Tensile etc.


: Design and analysis : Design And Analysis Of Flange Coupling Two Different Materials : Mr. K Nagendra Babu : M. Tech : Machine Design : composites, Nanocomposites

Project Description: A coupling is a device which is responsible for the effective power transmission between two shafts

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rotating at a certain rpm. Couplings are connected at the ends of the shafts and these may slip or get disconnected depending upon the torque limits. In fact, these are critical parts of any transmission system, providing the smooth transmission of power and they can last long if maintained properly. This project deals with the possible causes of failure for a flange coupling which occur mostly at the areas of contact, analysis of such failures and suggestions to minimize the failures occurred thereof. In this regard, a model of the flange coupling would be prepared and with the help of an analysis workbench, proper material would be assigned to that particular flange coupling and points of failure would be noted accordingly. Secondly, a different material in fact, a better one which would withstand more amount of stress would be assigned and failure results would be noted again. Finally, from the results obtained comparison would be made between the two results and suggestions would also be prescribed. Future Expansion: flange coupling, failures, Modeling, Analysis Requirements for the Project:

Knowledge on materials, modeling is Pro/Engineer and for analysis is ANSYS

Department of Electronics and Communication Engineering (ECE)

CONTENTS

Project No.

Project Domain

Project Title Faculty &

Designation

Page No

1 Signal Processing

Patient Recovery Monitoring for Tuberculosis and Pneumonia using Acoustic signals

Dr.Y.Padma Sai

Professor & Head

2 Bio-Medical Signal Processing

Classification of Eye Movements Using Electrooculography and Neural Networks

Dr.Y.Padma Sai

Professor & Head


Epileptic Seizure Monitor Alert System Dr.Y.Padma Sai

Professor & Head

264


Drowsiness Alert system based on Heart Rate Variability using LabVIEW

Dr.Y.Padma Sai

Professor & Head

5 Image Processing

Moving Object Detection And Remote Video Monitoring System

Dr.V.Padmaja

Professor

6 Pattern Recognition

FPGA Implementation of Gesture Recognition system Using Artificial Neural Networks

Dr.V.Padmaja

Professor

7 Pattern Recognition

Image pattern classification for the identification of disease causing agents in plants

Dr.V.Padmaja

Professor

8 Image Processing

Development of Mobile Based Assistance System for Paralyzed People

Dr.L.Padma Sree

Professor

9 Wireless Sensor Network

Heart Rate Monitoring using Wireless Sensor Networks

Dr.L.Padma Sree

Professor

10 Machine vision

Robust biometric system using combination of Handvein and retinal fundus signatures

V.Krishna Sree

Assoc. Professor

11 Machine vision

Auto classifivation of skin diseases using image processing algorithms.

V.Krishna Sree

Assoc. Professor

12 Speech Processing

Influence of Mother Tongue on Indian English

G.Radha Krishna

Assoc. Professor


Foreign Accent Identification

G.Radha Krishna

Assoc. Professor

265

14 Video Processing

Video classification

N.Dhana Lakshmi

Assoc. Professor

15 Video Processing

Object Detection

N.Dhana Lakshmi

Assoc. Professor

16 Embedded Systems

Hand movement based Fan speed controlling

S.K.Sharif

Assoc. Professor

17 Image Processing

Real Time, Online Detection of Abandoned Objects in Public Areas

S.K.Sharif

Assoc. Professor

18 VLSI Design FPGA Implementation of LTE Synchronization Channel Detection

Aytha Ramesh Kumar

Assoc. Professor

19 VLSI Design ARM Based Smart Power Saving System for Home Automation

Aytha Ramesh Kumar

Assoc. Professor

20 VLSI Design Performance Evaluation of Sense Amplifiers in SRAM Cell

Dr.S.Rajendra Prasad

Assoc. Professor

21 VLSI Design Design of Low Power Multipliers using CNTFETs

Dr.S.Rajendra Prasad

Assoc. Professor

22 Wireless Communication

Formation of 5G network

Dr. N. Kalpana

Assoc. Professor

23 Wireless Communication

mm Wave Communication

Dr. N. Kalpana

Assoc. Professor

24 IOT/Cloud MySmart Organization VANETs K.Archana Bhange

Sr.Asst.Professor

25 Data Communication

Ultimate Cyclic Redundancy Check K.Archana Bhange

Sr.Asst.Professor

26 Data Ultimate Cyclic Redundancy Check G.Sahitya

266

Communication

Asst.Professor

27 Microcontroller based

Automatic Liquid Level Controller G.Sahitya

Asst.Professor

28 VLSI An SRAM Design Using Dual Threshold Voltage Transistors and Low- Power Quenchers.

J.L.V.Ramana Kumari

Asst.Professor

29 VLSI SRAM Design Techniques for Sub-Nano CMOS Technology

J.L.V.Ramana Kumari

Asst.Professor

30 Video Processing

Video Super resolution using Deep Draft-Ensemble Learning

Helan Satish

Asst.Professor

31 Image Processing

Image Fusion using Hybrid Technique(PCA + SWT)

Helan Satish

Asst.Professor

32 Digital Image Processing

Automatic leukocyte segmentation in microscopic images using fuzzy divergence and thresholding technique

K.Aruna Kumari

Asst.Professor

33 DIP, Computer Vision

Object Tracking using SIFT in Real Time Videos

K.Aruna Kumari

Asst.Professor

34 Mobile Computing

Message transmission for Mobile devises using MQTT protocol VANETs

K.Jyostna

Asst.Professor

35 Wireless Senor Network

Throughput Measurement for the Guaranteed QoS Real-time Traffic Flows in VANETs

K.Jyostna

Asst.Professor

36 Microwave Engineering

Microwave Thermography for cancer detection

D.Kanthi Sudha

Asst.Professor

37 Microwave Engineering

Packaging Challenges of a RF MEMS switch

D.Kanthi Sudha

Asst.Professor

38 Signal Processing

Classification of Cardiac Arrhythmias using Machine learning techniques based on ECG Signal Matching

L.V.Rajani Kumari

Asst.Professor

267


Design and Development of New Parametric Wavelet

for signal Denoising

L.V.Rajani Kumari

Asst.Professor

40 Human Computer Interaction

Gesture based Mobile device Ch.Naga Deepa

Asst.Professor

41 Human Computer Interaction

Real Time Implementation Of Telugu Character Recognition using Raspberry

Ch.Naga Deepa

Asst.Professor

42 VLSI Design of Low Power CMOS SRAM cell for High speed operations

L.Dharma Teja

Asst.Professor

43 VLSI Asynchronous Design of Energy Efficient Full Adder

L.Dharma Teja

Asst.Professor

44 DBMS and MySQL

Examination Invigilation Scheduling System

K.S.Shilpa

Asst.Professor

45 Wireless Senor Network

Image Transmission over ZigBee-Based Wireless Sensor Networks

K.S.Shilpa

Asst.Professor

46 VLSI Improved Hamming Code for Error Detection and Correction

G.Shanthi

Asst.Professor

47 VLSI CRC-Free Hybrid ARQ System Using Turbo Product Codes

G.Shanthi

Asst.Professor


EEG feature extraction for classification of sleep stages

G.Vijaya Kumar

Asst.Professor


Personalized real-time sleep stage remote monitoring system

G.Vijaya Kumar

Asst.Professor

268


Man-Machine Interaction Using Double Channel Electrooculogram (EOG) Signals

V.Priyanka

Asst.Professor


Classifying Electrooculogram to Detect Directional Eye Movements

V.Priyanka

Asst.Professor

52 VLSI

Implementation of an Efficient Test Vector Compression Scheme Using Selective Huffman Coding on Spartan-III FPGA.

P.Kishore

Asst.Professor

53 VLSI

Design of An Efficient Reversible Logic Based Bidirectional Barrel

P.Kishore

Asst.Professor

54 VLSI Design

Low power built in self- test (BIST) architecture for fast multiplier embedded core

K.Sarath Chandra

55 VLSI Design

Design of Low Power Adaptive Flash ADC with CNTFET

K.Sarath Chandra

56 Satellite Communication

Studies On Rain Fade Attenuation At Indian Region By Fade Mitigation Techniques

K Kalyan Srinivas

Asst.Professor

57 Satellite Communication

Analysis of fade duration statistics of INSAT propagation experimental simulations at 11.6 and 14.2GHz frequencies

K Kalyan Srinivas

Asst.Professor


Early Diagnosis of Tuberculosis and Pneumonia Using Acoustic Signals

V.Naveen Kumar

Asst.Professor

59 Communications

Wireless Data Encryption & Decryption for secured Communication using RF

V.Vikas

Asst.Professor

60 Communications

wireless music transmission and reception by IR communication

V.Vikas

Asst.Professor

269


Narrowband speech improvement by artificial bandwidth extension (ABE)

P.Srinivasa Rao

Asst.Professor

62 Communications

Spectrum sharing of the two systems by using Cognitive WPCNs

P.Srinivasa Rao

Asst.Professor

63 Machine Vision

Machine vision for traffic violation detection system through genetic

M.Haritha

Asst.Professor

64 Robotics and Machine Vision

Computer vision approach for controlling educational robotic arm based on object properties

M.Haritha

Asst.Professor

65 Wireless Communications & Networks

Spectrum sensing on Cognitive Radio Networks and

K.Deepthi

Asst.Professor

66 Networking Advanced Multiple Routing Configuration

K.Deepthi

Asst.Professor

67 VLSI Design

Performance Evaluation of Sense Amplifiers in SRAM Cell

P.Anudeep

Asst.Professor

68 IOT Performance Evaluation of Sense Amplifiers in SRAM Cell

P.Anudeep

Asst.Professor

69 VLSI Development of Tiny Field Programmable Gate Array (FPGA)

K.Rama Mohana Reddy

Asst.Professor

70 VLSI Design Of High Speed, Low-Power Full Adder Cells Based On Carbon Nanotube Technology

K.Rama Mohana Reddy

Asst.Professor

71 Signal Least-Mean-Square algorithm based adaptive filters for removing power

K.Anusha

270

Processing line interference from ECG signal Asst.Professor

72 Wireless Communications

Interference Suppression and Resource Allocation With Multi-User MIMO-OFDMA System

B.B.Shabarinath

Asst.Professor

73 Communication Systems

Inter Vehicular Communication Systems

V.M.Mitu

Asst.Professor

74 VLSI design

A Reconfigurable 8T Ultra-Dynamic Voltage Scalable (U-DVS) SRAM memory design in 45nm CMOS for military applications

Ch.Ganesh

Asst.Professor

75 VLSI design ASIC Implementation of High Speed Pipelined DDR SDRAM

Ch.Ganesh

Asst.Professor

272

Project Domain : Signal Processing

Project Title : Patient Recovery Monitoring for Tuberculosis and Pneumonia using Acoustic signals

Guide : Dr.Y.Padma Sai


Specialization : Biomedical Signal processing

Research Interest : Biomedical Signal Processing ,Image Processing

A laboratory-free test for assessing recovery from pulmonary tuberculosis and pneumonia

would be extremely beneficial in regions of the world where laboratory facilities are lacking. Extracting

acoustic, emotional voice features of health information of the subjects, to diagnose characteristic

irregularities in voice patterns of patients with certain medical conditions like Tuberculosis, Pneumonia

etc. There is a need to observe patients recovery and generate report which must provide information

like “Good improvement”, “Slow recovery a visit to a doctor might help”.

The main aim of the project is to understand the current condition of the patient. It analyzes

and decides whether the collected acoustic samples like cough and speech are in particular

classification/diagnosis level. Hence this helps to monitor the recovery of patients suffering from

tuberculosis and pneumonia in the due course of medication/treatment.

The voice or sound samples collected from the patient gives information about him/her. By

using this data we can provide the related output .By comparing the output with previous history,

whether the patient is recovered or not is identified. Finally we share the information with the doctor

or hospital.

The input to the system would be speech and/or cough sample from the patient. The Mel

frequency Cepstrum coefficients (MFCC) vectors are extracted for the given input signals. Once the

features are extracted the data points are subjected to GMM classification algorithm.

Furthermore different algorithms can be used to increase the accuracy of the system. To

increase the accuracy and efficiency, different algorithm such as HMM can be used. The extracted

acoustic parameters from the voice signals are used as an input for the MFCC.

Future Expansion of the Project:. Results can be improved by implementing it practically.

273

Requirement for the Project : Matlab

274

Project Domain : Bio-Medical Signal Processing

Project Title : Classification of Eye Movements Using Electrooculography and Neural Networks





Electrooculography is a technique for measuring the cornea-retinal potential produced by eye movements. This project proposes algorithms for classifying eleven eye movements acquired through electrooculography using dynamic neural networks. Signal processing techniques and time delay neural network are used to process the raw signals to identify the eye movements. Simple feature extraction algorithms are proposed using the Parseval and Plancherel theorems. The performances of the classifiers are compared with a feed forward network, which is encouraging with an average classification accuracy of 91.40% and 90.89% for time delay neural network using the Parseval and Plancherel features.



275


Project Title : Epileptic Seizure Monitor Alert System Guide : Dr.Y.Padma Sai




Electrooculography is a technique for measuring the cornea-retinal potential produced by eye movements. This project proposes algorithms for classifying eleven eye movements acquired through electrooculography using dynamic neural networks. Signal processing techniques and time delay neural network are used to process the raw signals to identify the eye movements. Simple feature extraction algorithms are proposed using the Parseval and Plancherel theorems. The performances of the classifiers are compared with a feed forward network, which is encouraging with an average classification accuracy of 91.40% and 90.89% for time delay neural network using the Parseval and Plancherel features.

Future Expansion of the Project:. Results can be improved by implementing it practically and Real time

system has to be developed.


276


Project Title : Drowsiness Alert system based on Heart Rate Variability using LabVIEW





Monitoring of cardiac activity of post operating patients in a driving state is one of the emerging applications in bio medical research. The detection of QRS complexes in an Electrocardiogram (ECG) signal provides information about the heart rate within the heart as well as various abnormalities such as hyperkalemia, cardiac hypertrophy, etc. A system that detects drowsiness and heart attack of a driving person in advance would prevent major accidents. The emphasis is on QRS complex detection and analysis of heart rate variability and perform an analysis for detecting drowsiness of Post operative patient through Heart rate variability using LabVIEW as a tool. Results with lower heart rate classify it as fatigue and increased heart rate as abnormality.


Requirement for the Project : LabView

277

Project Domain : Image Processing

Project Title : Moving Object Detection And Remote Video Monitoring System

Guide : Dr. V. Padmaja

Qualification : Ph. D

Specialization : Image Processing

Research Interest : Image Processing

Project Description

Video surveillance systems play an increasingly important role to maintain social security. It has been widely used in many fields, such as finance, public security, banking, and home. Traditional video surveillance can generally achieve close distance monitoring, by using the PC as a monitor host, monitor host connected monitor camera with coaxial cable. In this project captured data is stored in database, to identify the moving object user have to check entire data base and for storing captured video it required more memory, and user won’t get any alert message about moving object. To avoid this problem moving object detection and remote video monitoring system is developed.

Future Expansion of the Project: Theft detection system in Bank lockers, ATM machines etc.

Requirement for the Project : LINUX, ARM DEV KIT, CAMERA

278

Project Domain : Pattern Recognition

Project Title : FPGA Implementation of Gesture Recognition system Using Artificial Neural Networks






Gesture recognition is one of the most attracting and challenging tasks in pattern recognition and real-world applications. New natural methods of control are needed due to increase in the number of industrial and home appliances that must be controlled. In this realize FPGA based hand gesture recognition system is proposed by using an algorithm called artificial neural network. This method mainly used to add learning capabilities of gesture recognition system that can be used for impaired people. The sensor based gestures control system is composed by two subsystems that communicated via radio waves. The first subsystem is a transmitter that has an accelerometer which reads predefined gesture values. The second subsystem is the receiver, on which the data processing takes place. Field Programmable Gate Array (FPGA) implementation is an attractive way for hardware implementation. The desired network has to be modeled, trained and simulated by using Xilinx. This HDL design can then be synthesized for implementation in the Xilinx family of FPGA devices.

Future Expansion of the Project: They can be easily extended to many other recognition problems such as

handwritten digits recognition, etc.

Requirement for the Project : Keil, Xilinx ,ARM, FPGA

279

Project Domain : Pattern Recognition

Project Title : Image pattern classification for the identification of disease causing agents in

plants






The dramatic and worldwide spread of plant diseases is the driving force in the development of machine vision

systems to identify these diseases. There is a need for systems that can help crop producers and farmers,

particularly in remote areas, to identify early symptoms of plant disease by means of analyses of digital images of

crop samples. The current electronic devices for capturing images have been developed to a point where there is

little or no difference between the target and its digital counterpart. The success of machine learning for image

pattern recognition also suggests applications in the area of identification of plant diseases.

Once the image of a target is captured digitally, a myriad of image processing algorithms can be used to extract

features from it. The usefulness of each of these features will depend on the particular patterns to be highlighted

in the image. Patterns are particular features of an image. They should be invariant to translation, rotation, and

scale if potential misjudgments are to be avoided. The advantage of image classification by feature assessment is

that patterns remain identical if preliminary conditions are changed. For example, pictures might be captured in

conditions of different light intensity, or with different distances between camera lens and target. A key point in

the implementation of optimal classifiers is the selection of features that characterize the image. Since there are

many features to choose from, the job of selecting the best of them becomes cumbersome.

Future Expansion of the Project:. We can implement with different image classifiers.

Requirement for the Project : MATLAB

280


Project Title : Development of Mobile Based Assistance System for Paralyzed

People

Guide : Dr.L.Padma Sree


Specialization : Image Processing, Security

Research Interest : Image Processing, Wireless Communications


Paralysis is defined as the complete loss of muscle function in any part of the body. It occurs when there is a problem with the passage of messages between the brain and muscles. Some paralyzed people cannot move even a single part of the body other than their eyes. Paralytic patients struggle a lot for doing regular home activities such as switching on lights, fans and television etc. There are different kinds of supporting accessories are available for paralyzed patients and more of them are still under research stage. An intelligent real time home automation system is required for fulfillment of the special needs and requirements of such disabled patients. Hence Mobile Based Assistance System for Paralyzed People has been proposed for assisting in regular home activities.

Future Expansion of the Project: It can be applied for all patients

Requirement for the Project : Matlab software

281

Project Domain : Wireless Sensor Network

Project Title : Heart Rate Monitoring using Wireless Sensor Networks

Guide : Dr.L.Padma Sree


Specialization : Image Processing, Security

Research Interest : Image Processing, Wireless Communications


The main objective of this project is to develop wireless sensor network system specific to Heart rate monitoring. Online data can be stored in personal server. The data will be transmitted to particular specialists; personal server establishes a secured link to medical server. Data can be analyzed and diagnosis will be done by medical specialists. Medical server issues recommendations to patients if reports seem to indicate abnormal

Future Expansion of the Project: It can be applied to Heart Patients

Requirement for the Project : NS2 Software

282

Project Domain : Machine vision

Project Title : Robust biometric system using combination of Hand-vein and retinal fundus signatures

Guide : V.Krishnasree

Qualification : M.Tech.,(Ph. D)




Biometric systems which are used for identification and verification purpose can be designed in a robust way by considering typical and unique biological features like Dorsal hand-veins and retinal fundus images.

Future Expansion of the Project: As many features as possible can be added to increase the authenticity and robustness of biometric.


Project Domain : Machine vision

Project Title : Auto classification of skin diseases using image processing.

Guide : V.Krishnasree

Qualification : M.Tech.,(Ph. D)



283


The severity of Skin diseases like psoriasis can be checked by looking/ Detecting the features like correct shape, texture and color non-invasively.

Matlab/Simulink is used to simulate the algorithm

Future Expansion of the Project: It can be modified to test the quality of any other skin diseases.


284

Project Domain : SPEECH PROCESSING Project Title : Influence of Mother Tongue on Indian English

Guide : G. Radha Krishna Qualification : M.Tech. Specialization : Digital Systems & Computer Electronics Research Interest : Speech Technologies Project Description : Apart from conveying message, a speech signal carries information about the speaker’s own anatomy, physiology, linguistic experience, and mental state. The way a person speaks provides information about their regional and social background. The problem of determining the regional or ethnic origin of people can be studied using Speech Technology. Assigning a given speech sample to a particular class of speakers, like Natives versus Foreign is an Accent Identification (AID) task. Such systems have utility in many scenarios such as Intelligence applications, Automated customer services. The task of identifying the native language (L1) from non-native speech (L2) comes under Foreign Accent Identification. Accent is a specific pattern of pronunciation of people who belongs to a particular nation or geographical location. Present work deals with automatically classifying between English accents of people from different Indian states.

Like the Language Identification (LID), AID is a 1:C match, where C is the number of classes (either languages or accents). So a maximum function is often taken to select the most probable class.Due to lack of more efficient ways to represent the characteristics of language and accent, most LID and AID systems are still using Mel Frequency Cepstral Coefficients (MFCCs) and their derivatives and have achieved rather good results. In recent past the SDC (Shifted Delta Cepstral) coefficients, taking long span speech information into account, have been successfully used as special features for LID. These coefficients are then transplanted to AID as well and seem to be promising.Accents of a language can manifest in different ways. Methods of accent classification that emulate human processes attempt to capture some of these differences using an accurate phonetic transcription of utterances, and this can give high accuracy . However, such a transcription is unlikely to be available in real-world scenarios. Proposed approach is to use machine-learning techniques to model the above variations implicitly.

Future Expansion of the Project : This work can be extended to Dialect identification Requirement for the Project : MATLAB , Speech Recording tools.

285

Project Domain : Speech Processing Project Title : Foreign Accent Identification

Guide : G.Radha Krishna Qualification : M.Tech. Specialization : Digital Systems & Computer Electronics Research Interest : Speech Analysis and Understanding Project Description : There are many aspects of speech that can provide information about particular speaker’s characteristics. Accent is a linguistic trait of speaker’s identity. It indicates speaker’s native language and social background. Native listeners of a language can recognize when someone is speaking that language with a foreign accent even on the basis of very short samples of speech. To focus on foreign accent in general as opposed to some particular accent, the present study uses L2English productions by talkers of multiple L1s. It might be possible to measure and compare acoustic properties that are likely to differ between talkers of native language (L1) and second language(L2). Accent is a specific pattern of pronunciation of people who belongs to a particular nation or geographical location. Present work deals with automatically classifying between three south Indian English accents. Identification of non-native personnel is a critical piece of information for making crucial on the spot decisions for security purposes.

Developing an automatic system to identify speaker’s native language is the major goal of this project. Such a system may be used alone or with other downstream applications. The differences between accents can be attributed to differences in prosody of accents apart from other characteristics. Prosody is the pattern of rhythm, stress and intonation of speech. The differences of prosody of accents are used to purpose of accent identification. GMMs with MFCC feature vectors can be used to identify different accents of English speech. Majority of studies concerned with foreign accent are restricted to investigation of a particular combination of native language and target language. Present study aims it determining general properties of foreign language. Dynamics of f0 contour corresponding to a sound is influenced by several factors such as identity of sound unit, its context, the speaking style of the speaker, intonation rules of the language, type of the sentence etc. Syllable level prosodic feature vectors are speaker specific to capture the distribution of feature vectors conventional Gaussian Mixture Models can be used.

Future Expansion of the Project : This work can be extended to Mimic Speech Analysis Requirement for the Project : MATLAB, . Speech Recording tools.

286

Project Domain : Video Processing

Project Title : Video classification

Guide : N. Dhana Lakshmi


Specialization : DS &CE

Research Interest : Video Processing


In this work, we are going to propose the video classification system and the novel features that use the information of the videos in order to classify the videos.

First, the proposed system extracts the information from video to classify the video. And then, the proposed features generated from the video are used as an input to a nonlinear-SVM which determines the given video belongs to which class.

Because the proposed features contain the adequate properties of video, we expect to improve the performance of the classification system.

Future Expansion of the Project:. Improve the classification efficiency by combining various classifiers.



Project Title : Object Detection

Guide : N. Dhana Lakshmi


Specialization : DS &CE

Research Interest : Video Processing


This work presents a method for detecting categories of objects in real-world images. Given training images of an object category, our goal is to recognize and localize instances of those objects in a candidate image.

The main contribution of this work is a novel structure of the shape codebook for object detection. A

287

shape codebook entry consists of two components: a shape codeword and a group of associated vectors that specify the object centroids. Like their counterpart in language, the shape codewords are simple and generic such that they can be easily extracted from most object categories. The associated vectors store the geometrical relationships between the shape codewords, which specify the characteristics of a particular object category.

Thus they can be considered as the “grammar” of the shape codebook. In this paper, we use Triple-Adjacent-Segments (TAS) extracted from image edges as the shape codewords. Object detection is performed in a probabilistic voting framework.

Future Expansion of the Project:. It can be expanded to detect deformable objects


288

Project domain : Embedded Systems

project title : Hand movement based Fan speed controlling

Guide : S.K.Sharif Qualification : M.Tech.(Ph.D)

Specialization : Systems & Signal Processing

Research interest : Signal Processing, Image Processing, Radars

Project Description: The aim of this project is to control fan speed through hand movement by using MEMS ACCELEROMETER SENSOR (Micro Electro-Mechanical Systems) technology. MEMS ACCELEROMETER SENSOR is a Micro Electro Mechanical Sensor which is a highly sensitive sensor and capable of detecting the tilt. This sensor finds the tilt and makes use of the accelerometer to change the speed of the fan using PWM (Pulse Width Modulation).

Automation is the most frequently spelled term in the field of electronics. The hunger for automation brought many revolutions in the existing technologies. One among the technologies, which had greater developments, is the MEMS ACCELEROMETER SENSOR. These had greater importance than any other technologies due its user-friendly nature. MEMS ACCELEROMETER SENSOR based devices can be easily reachable to the common man due to its simpler operation, and at the same time it challenges the designers of the device.

This project makes use of a micro controller, which is programmed, with the help of embedded C instructions. The MEMS ACCELEROMETER SENSOR based sensor detects the tilt and provides the information to the microcontroller (on board computer) and the controller judges whether the instruction is to decrease or increase the speed of the fan. The controller is interfaced with fan whose speed is either increased/decreased using hand movement. Also, the devices are operated wirelessly through MEMS accelerometer sensor. To perform the task, the controller is loaded with intelligent program written using Embedded ‘C’ language


Requirement for the Project :Microcontroller platform

289

Project domain : Image Processing

project title : Real Time, Online Detection of Abandoned Objects in Public

Areas

Guide : S.K.Sharif Qualification : M.Tech.(Ph.D)

Specialization : Systems & Signal Processing

Research interest : Signal Processing, Image Processing, Radars

Project Description: This work presents a method for detecting abandoned objects in real-world conditions. The method presented here addresses the online and real time aspects of such systems, utilizes logic to differentiate between abandoned objects and stationary people, and is robust to temporary occlusion of potential abandoned objects. The capacity to not detect still people as abandoned objects is a major aspect that differentiates this work from others.


Requirement for the Project : Image Processing

Project domain : VLSI Design

project title : FPGA Implementation of LTE Synchronization Channel Detection

Guide : Aytha. Ramesh Kumar


Specialization : VLSI Design

Research interest : VLSI Design , Embedded Systems , Communication

290

Project Description: 3GPP Long Term Evolution, usually referred to as LTE, is a standard for wireless communication of high speed data for mobile phones and data terminals. Synchronization of this unique code with the incoming data samples forms an important step in data recovery. For a 3GPP LTE receiver, cross-correlation needs to be performing to estimate cell identity, time and frequency synchronization error. After decoding the synchronization signals, the LTE receiver finish the initial synchronization and can establish the connection with the base-station. This project presents design and implementation of Digital Filter for code synchronization in LTE.

Filter model was developed using Verilog HDL. The Filter developed was verified in using the Modelsim simulation tool and then the code is synthesized and physical design process of the net list is done and it is implemented in XILINX Vertex FPGA.

Future Expansion of the Project: The above work of a filter can be extended by varying tap coefficients of matched filter for which response is efficient enough to CDMA systems. The parameters to be improved are frequency diversity and carrier spacing.


FPGA : XILINX VERTEX 2

TOOLS : Xilinx ISE , Modelsim

LANGUAGE : VERILOG

291

Project domain : VLSI Design

project title : ARM Based Smart Power Saving System for Home Automation Guide : Aytha. Ramesh Kumar


Specialization : Embedded Systems

Research interest : VLSI Design , Embedded Systems , Communication

Project Description: Importance of the power saving is major issue in now a days. A smart intelligent system which controls the power in home automation. Mostly designed systems are Zigbee based and Wi - Fi based networks. Earlier developed systems are dependent on the motion sensing of the user in the room which can fail if users movements are minimum (sitting or sleeping). Another problem is the cost of wireless network. The use of Zigbee and other protocol devices increases the cost of the system. This project is providing a solution for preventing the wastage of power in an adequate and cost effective way. The system consists of a biometric electronic door lock and power saving module. When the user finger print matches in door lock, the power saving module is switched ON. The power saving module switches the appliances in the room based on the presence of the person. It also controls the power delivered to fan and light according to temperature of room and natural daylight intensity.

Future Expansion of the Project: The above work can be extended for the application of Industrial automation, security systems and irrigation system..

Requirement for the Project : ARM processor

TOOLS : KEIL μvision

LANGUAGE : Embedded C

292

Project Domain : VLSI Design

Project Title : Performance Evaluation of Sense Amplifiers in SRAM Cell

Guide : Dr. Rajendra Prasad Somineni

Qualification : M.Tech, Ph.D

Specialization : Low Power VLSI and LICS

Research Interest : Low-Power VLSI, Embedded Systems,CNTFET based Designs


SRAMs are used as cache memory hence it must perform at high speed for both read & write operations along with low power consumption. But memory and its peripheral circuits can adversely affect the overall speed and power of the system. Among all the peripherals of a SRAM memory, sense amplifier plays a major role.It is used to sense or read the data stored or written onto the selected memory bit. The performance of sense amplifiers strongly affects both memory access time and overall power consumption. A sense amplifier plays the role of sensing the differential voltage generated on the bit line or bit line according to the data stored in the memory and accordingly convert the data stored on the bit line/bit line bar to full logic level 1 or 0 which can be read at the output stage. Sense amplifier is thus used to convert this small voltage swing to a full logic signal. To improve the speed & overall performance of memory it is necessary to understand & analyze different types of sense amplifiers. According to the demand of situation appropriate sense amplifier must be used as every design has its own advantage & disadvantage.

Future Expansion of the Project: This can be extended to CNTFET based Design

Requirement for the Project: HSPICE/ Cadence/ Mentor Graphics Tools or any other Circuit

Simulator Tools

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Project Title : Design of Low Power Multipliers using CNTFETs

Guide : Dr. Rajendra Prasad Somineni

Qualification : M.Tech,Ph.D

Specialization : LICS & Low Power VLSI

Research Interest : Low-Power VLSI, Embedded Systems, CNTFET based Design

Project Description

In the past, the major concerns of the VLSI designer were area, performance, cost and reliability, but the power consideration was secondary importance. In the present scenario the power consumption became a major concern. The reduction of supply voltage leads to lowering of power dissipation, this is because of the power dissipation has quadratic relationship with the supply voltage. But reducing supply voltage degrades the performance. In order to satisfy the high performance requirements, threshold voltage (VTH) has to be scaled. Unfortunately, such scaling leads to a dramatic increase in leakage current and hence leakage power, which becomes a new concern for low power and high performance VLSI system designers.

As technology scales down to 32nm and below, the present Complementary Metal-Oxide semiconductor (CMOS) technology has facing the scaling limit. This problem is due to the increased leakage power dissipation, the increased short-channel effects, severe process variations, high power density, and so on. To overcome this scaling limit, the researchers are experimented on other technologies. Among which Carbon NanoTube (CNT) technology based device called Carbon nanoTube FET (CNTFET) has been evaluated as one of the promising replacement to MOSFET of CMOS technology, in the future nanoscale electronics.

Multiplication is an important fundamental function in arithmetic operations. In fact, multiplication- based operation such as Multiply and Accumulate (MAC) and inner product are among some of the frequently used computation intensive functions currently implemented in many Digital signal processing (DSP) applications such as convolution, Fast Fourier Transform (FFT), filtering and etc. With an ever-increasing quest for greater computing power on battery operated mobile devices, design emphasis has shifted from optimizing conventional delay time and area size to minimizing power dissipation while still maintaining high performance.

Hence, this project proposes the design of Low-power Multipliers using CNTFETs.

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Future Expansion of the Project: In future this project can be used to design ALU.


Simulator Tools

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Project Domain : Wireless Communication

Project Title : Formation of 5G network

Guide : Dr. N. Kalpana


Specialization : Electronics and Communication Engineering

Research Interest : 5G networks, Cognitive Radio

Project Description

To form 5G network, interconnection between heterogeneous networks should be possible. But, as protocols used in heterogeneous networks are different, conversion should be done in between the protocols as quickly as possible. Also, whenever a mobile is crossing from one network to another network, handover should be done quickly to get lesser latency for the user’s data transfer and at the same time, capacity of the user’s data should be maximized Future Expansion of the Project: This project itself involves so many issues to be handled.

Requirement for the Project: Matlab

Project Domain : Wireless Communication

Project Title : Formation of 5G network

Guide : Dr. N. Kalpana


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Specialization : Electronics and Communication Engineering

Research Interest : 5G networks, Cognitive Radio

Project Description

: Now a days, obtaining larger bandwidth for the communication is a major problem. mmWave solves this problem as no one tried to use GHz frequencies until now for their data transmissions. mmWAve can give very high bandwidth. But, the major problem for mmWave is it attenuates quickly. If we can minimize this attenuation, then all communication systems don’t face the problem of bandwidth scarcity Future Expansion of the Project: This project itself involves so many issues to be handled.

Requirement for the Project: Matlab

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Project Domain : IOT/Cloud

Project Title : MySmart Organization VANETs Guide : K B Archana

Qualification : M.Tech.


Research Interest : Wireless Communications

Project Description

To Develop an Android based app that can monitor various resources such as Fans, lights in class rooms and staff rooms so that they can be monitored and controlled even if we are far away by using smart devices such as smart phones and tablets. Various sensors such as proximity sensor, temperature, gas sensors etc can be used based on the needs and communicated using GSM module that can be interfaced to an arduino or any low cost board. Data processing can be carried out using cloud.

Check for a low cost board available in the market Check Hardware resources to be controlled in the organization Develop Android app Integrate with cloud

Future Expansion of the Project : Microcontollers, Java (JDK), Arduino board configuration

Requirement for the Project : Network Simulator

Project Domain : Data Communication

Project Title : Ultimate Cyclic Redundancy Check

Guide : G.Sahitya

Qualification : M.Tech (PHD)

Specialization : ssp

Research Interest : WIRELESS COMMUNICATION

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Ultimate CRC is a fully customable Cyclic Redundancy Check (CRC) generator/checker. CRC’s are widely

used for data communication error checking. The Ultimate CRC uses a XOR logic tree to compute the CRC from a

data input word.The XOR logic is generated during synthesis from generics that specify the properties of the

CRC.

The core uses one clock cycle per data word. The core has two implementations, one for serial data

and one for parallel data, but functionally they are identical. CRC generation and checking are basically identical

operations. If the CRC is clocked into the core after the data, the CRC register will be all zeros when no errors

exist. The serial implementation has a flush control signal that allows the calculated CRC to be shifted out bit by

bit, MSB first.

Future Expansion of the Project : Any future algorithms proposed for CRC generation and checking can be implemented.

Requirement for the Project : Knowledge of principles of secure and redundant data transfer over networks.

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Project domain : Microprocessor Based

project title : Automatic Liquid Level Controller

Guide : G.Sahitya


Specialization : SSP

Research interest : DSP Processors, Communications

Project Description: In modern process plants, microprocessors and microcomputers are an absolute necessity .Without them the strict quality control and the high degree of precision being achieved, would not have been possible. Automatic liquid level controller, can maintain constant liquid level. The software developed ensures that an operator can select any decide level by just typing the level number. Provisions are also made for prompting the operator of unusual system conditions. In the absence of operator this system can operate on its own in automatic mode. The acquired level is displayed using a 7-segment display available with the microprocessor kit.


Requirement for the Project : Microprocessor Kit

Project Domain : VLSI Project Title : An SRAM Design Using Dual Threshold Voltage Transistors and Low- Power Quenchers. Guide : J.L.V. Ramana Kumari Qualification : (Ph.D) Specialization : VLSI System Design Research Interest : VLSI Project Description :

Static random access memories (SRAM) are widely used in computer systems and many portable devices. In this paper, we propose an SRAM cell with dual threshold voltage transistors. Low threshold voltage transistors are mainly used in driving bitlines while high threshold voltage transistors are used in latching data voltages. The advantages of dual threshold voltage transistorscan be used to reduce the access time and maintain data retention at the same time. Also, the unwanted oscillation of the output bitlines of memories caused by large currents in bitlines is reduced by adding two back-to-back quenchers. The proposed quenchers not only prevent oscillation, but also reduce the idle power consumption when the memory cells are not activated by wordline signals. Meanwhile, a large noise margin is provided such that the gain of the sense amplifier will not be reduced to avoid the oscillation.

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Hence, high-speed and low-power readout operations of the SRAMs are feasible. Index Terms—CMOS, dual threshold voltage, quenchers, SRAM.

Future Expansion of the Project : The project can be extended to achieve the best design quality defined

as the product of following design metrics: propagation delay, power dissipation, and layout area .

Requirement for the Project : CMOS, dual threshold voltage, quenchers, SRAM.

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Project Domain : VLSI Project Title : SRAM Design Techniques for Sub-Nano CMOS Technology. Guide : J.L.V.Ramana Kumari Qualification : (Ph.d). Specialization : VLSI System Design Research Interest : VLSI Project Description

The scaling of CMOS technology has significant impacts on SRAM cell – random fluctuation of electrical characteristics and substantial leakage current. The random fluctuation of electrical property causes the symmetrical 6T cell to have huge mismatch in transistor threshold voltage. Consequently, the static noise margin (Read Margin) and the write margin are degraded dramatically. The SRAM cell tends to be unstable and the low power supply operation becomes hard to achieve. Besides that, the large leakage current caused by the low threshold voltage and thin gate oxide let the sub-nano SRAM design have huge static power. This makes portable electronics applications become difficult. This work gives several design techniques used to minimize the static power consumption will be addressed and compared first. Second, in order to increase the read/write margins of SRAM cell, the VDC (Voltage Down Converter) approach will be discussed. It is founded that by using a simple VDC design, the RM (Read Margin) and WM (Write Margin) can be significantly improved and let the SRAM design be functional in the 0.7V range. The yield of the SRAM chip can also be dramatically improved. Incorporated with a resistor-less BGR (Bandgap Reference) design, this VDC can be used for static power reduction, read margin and write margin improvement, programmable voltage and voltage clamping.

Future Expansion of the Project : This work can be extended to design highly configurable embedded low

power DRAM compiler .

Requirement for the Project : Low Power , SRAM Compiler, read margin, write margin.

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Project Title : Video Super resolution using Deep Draft-Ensemble Learning. Guide : Helan Satish

Qualification : M.E

Specialization : Applied Electronics

Research Interest: Image Processing, Video Processing

DESCRIPTION: Video super-resolution (VideoSR), a.k.a. multi-frame super-resolution (MFSR), refers to the process of estimating a high resolution (HR) image from a sequence of low resolution (LR) observations. It is fundamental in visual processing, as several applications, including video enhancement and text/object recognition in surveillance and phone videos, can benefit from it. Although effective strategies have been proposed, VideoSR remains a difficult problem for real world natural image sequences.

A new direction for fast video super-resolution (VideoSR) via a SR draft ensemble, which is defined as the set of high-resolution patch candidates before final image deconvolution. Our method contains two main components – i.e., SR draft ensemble generation and its optimal reconstruction. The first component is to renovate traditional feed forward reconstruction pipeline and greatly enhance its ability to compute different super-resolution results considering large motion variation and possible errors arising in this process. Then we combine SR drafts through the nonlinear process in a deep convolutional neural network (CNN). We analyze why this framework is proposed and explain its unique advantages compared to previous iterative methods to update different modules in passes.

Requirement of the project: Matlab

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Project Title : Image Fusion using Hybrid Technique(PCA + SWT)

Guide : Helan Satish

Qualification : M.E Specialization : Applied Electronics

Research Interest: Image Processing, Video Processing

DESCRIPTION: Image fusion is to reduce uncertainty and minimize redundancy. It is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of the input images. Till date the image fusion techniques were like DWT or pixel based. These conventional techniques were not that efficient and they did not produced the expected results as the edge preservance, spatial resolution and the shift invariance are the factors that could not be avoided during image fusion. This paper discusses the implementation of two categories of image fusion.The Stationary wavelet transform (SWT), and Principal component analysis(PCA).

The Stationary wavelet transform (SWT) is a wavelet transform algorithm designed to overcome the lack of translation-invariance of the discrete wavelet transform(DWT). Whereas The Principal component analysis(PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated

variables called principal components . To overcome the disadvantages of the earlier techniques used for image fusion a new hybrid technique is proposed that works by combining the SWT and PCA i.e. stationery wavelet transform and principal component analysis. This hybrid technique is proposed to obtain a better efficient and a better quality fused image which will have preserved edges and its spatial resolution and shift invariance will be improved. This hybrid technique will produce better fusion results. The image obtained after fusion using proposed technique will be of better quality than the images fused using conventional techniques.

Requirement of the project: Matlab

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Project Domain : Digital Image Processing

Project Title : Automatic leukocyte segmentation in microscopic images using fuzzy divergence and thresholding technique.

Guide : K. Aruna Kumari


Specialization : Digital Systems and Computer Electronics

Research Interest : DIP, Machine Learning


Pathological image processing has become very important for better characterization, visualization as well as disease recognition in order to strengthen digital microscopy. Among various pathological studies, characterization of blood parameters viz., erythrocytes, leukocytes and platelets, is essential in case of many vital diseases e.g. anemia, hepatitis, diabetes, allergy, leukemia, cancer, AIDS, psoriasis, etc. Out of these three blood cells, microscopic evaluation of leukocyte is still a challenging task to hematologists, being indispensable in diagnostics with malignance suspicious. Digital image processing techniques can help them in their analysis and diagnosis. For automatic nuclei segmentation from microscopic blood smear images a proper threshold value is to be chosen. However, the selection of the threshold is very difficult in segmenting the nuclei. Blood smear image consists of erythrocytes, leukocytes and platelets. In this work, we propose to separate the leukocyte nuclei from the background using fuzzy divergence minimization approach. This approach is one such approach that proves as a sound scheme to segment nucleus distinctly. The three different fuzzy membership functions: Gamma, Gaussian and Cauchy will be explored in this study.

Future Expansion of the Project: These above mentioned methods may be used to explore further applications in segmenting images that contain a high degree of uncertain information, for example, mammographic images to detect breast tumor.

Requirement for the Project: Concepts of DIP, MATLAB

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Project Domain : Mobile Computing

Project Title : Message transmission for Mobile devises using MQTT protocol VANETs Guide : K. Jyostna




Project Domain : DIP, Computer Vision

Project Title : Object Tracking using SIFT in Real Time Videos

Guide : K. Aruna Kumari


Specialization : Digital Systems and Computer Electronics.

Research Interest : DIP, Machine Learning

Project Description

Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing. In Object Detection and Tracking we have to detect the target object and track that object in consecutive frames of a video. One of the main difficulties in object tracking among many others is to choose suitable features and models for recognizing and tracking the interested object from a video. In this work we study about, OPTICAL FLOW tracking based on the intensity and motion, SIFT tracking based on scale invariant local feature points.

Future Expansion of the Project: Some more features like SURF, ORB may be studied to implement a

more robust object tracking system.

Requirement for the Project: Concepts of DIP, Computer Vision, Matlab

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To Develop a message transmission system between mobile devices using MQTT protocol an ISO standard protocol on top of TCP/IP protocol. It is designed for connections where network bandwidth is limited. It works with mobile devices and MQTT supports small size, low powers, minimized data packets and efficient distribution of data to one or more resources.

Consider a scenario of three to five mobile nodes. Use NS2/NS3 simulator to transfer messages (CBR data) using TCP/IP first Next use MQTT protocol and simulate the network again Measure various network performance parameters.

Future Expansion of the Project : Computer network basics, TCP/IP model, software(NS2/NS3), Netsim (GUI based network simulator) supports user defined protocols. Requirement for the Project : Network Simulator

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Project Domain : Wireless Sensor Networks

Project Title : Throughput Measurement for the Guaranteed QoS Real-time Traffic Flows in VANETs Guide : K. Jyostna




Project Description

Quality of service (QoS) guarantees in vehicular ad hoc networks (Vanets) is much more challenging due to the high mobility of its mobile hosts, multi-hop communications and contention for channel access. With the increasing demand for wireless communication technologies development of real-time and multimedia applications, there is a need to provide QoS guarantees, which results in a low number of admitted real-time and multimedia flows. Most of the current routing protocols for QoS ad hoc select only path guaranteeing bandwidth and do not deem throughput optimization. Typically, the QoS is measured in terms of throughput, packet loss as well as average delay for a liable bandwidth. UDP Transport layer protocol is used as the real-time application to satisfy bandwidth requirement while optimizing network throughput and packet drop to provide QoS for nodes running the IEEE802.11 MAC. Network simulator is used for analysis of throughput for UDP real-time traffic application.

is a well-known mobile ad hoc network routing protocol, by defining an optimization problem.



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Project Domain : Wireless Sensor Networks

Project Title : Cognitive radio based connectivity management for resilient end-to- end communications in VANETs Guide : K. Jyostna




Project Description

VANET has attracted a good deal of attention owing to its wide range of important applications. VANET is a special kind of mobile ad hoc network, in which most of the nodes are spatio-temporally volatile fast-moving vehicles. Hence, it is extremely difficult to provide resilient end-to-end communications in VANET, although it is a cornerstone for the wider deployment of VANET applications. In VANET, the network and upper layers often fail due to frequent link disruptions caused by the highly dynamic environment. In view of this, we propose MOCA, a Mechanism for cOnnectivity management in Cognitive vehiculAr networks, which make use of cognitive radio (CR) technology, to overcome frequent link disruptions and achieve greater resilience for end-to-end data delivery. MOCA benefits from the flexibility and adaptability of CR, which opportunistically accesses the best available licensed channel frequencies. The selection of the best available links is determined by values from observable parameters related to channels and nearby vehicles, such as bit error rate (BER), node speed and driving direction, as well as on the unique application requirements. As the VANET environment can be highly dynamic, MOCA carries out a periodic re-evaluation of the quality of the available channels.



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Project Domain : Microwave Engineering

Project Title -1 : Microwave Thermography for cancer detection Guide : D. Kanthi Sudha


Specialization : Microwave Engineering

Research Interest : Microwave Communications


One of the methods complementary to mammography is represented by early breast cancer detection using microwaves. Images with microwaves obtained for breast cancer detection are distribution maps of electrical properties in tissues. One of microwave image application is represented by hyperthermia, which indicate a change in electrical properties of interest tissue depending on tissue warmth. The advantage of using microwaves are both avoiding ionization radiation and breast compression, using a fast method, specific and cheaper than MRI and has a fast image processing.

Future Expansion of the Project : Analysis of this project can give scope for exploring

noninvasive techniques for early detection of cancer

Requirement for the Project : Softwares-Matlab, EDA tools required for thermal analysis

Project Domain : Microwave Engineering

Project Title -2 : Packaging Challenges of a RF MEMS switch Guide : D.Kanthi Sudha


Specialization : Microwave Engineering

Research Interest : RF MEMS


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Packaging is the most expensive fabrication step and often makes upto 90% (or more) of the final cost of a MEMS device. RF-MEMS Switches are used in wide range of applications, their required specifications and packaging challenges are application specific. Also, the packaging approach for RF-MEMS strongly affects the device performance especially in the case of devices with moving parts. The various critical packaging issues belong to environment, reliability, integration, modeling, functional interfaces, stiction, dicing, out-gassing etc. EM simulation can be done to understand and address some of these critical issues related to RF MEMS switch package.


To develop economical high- performance and highly reliable packaging solution. The package plays a key role in ensuring the long term reliability and performance of any MEMS device.

Requirement for the Project : Softwares-ADS- Electromagnetic Simulation

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Project Title : Classification of Cardiac Arrhythmias using Machine learning techniques based on ECG Signal Matching

Guide : L.V.Rajani Kumari

Qualification : M.Tech, (Ph.D)


Research Interest : Biomedical Signal Processing ,Embedded systems

An electrocardiogram (ECG) signal becomes very important in diagnosing cardiac arrhythmias. The techniques that classify cardiac arrhythmias based on ECG-features still have poor accuracy and much learning time. In this project, we proposes framework to drive the best classification technique that builds an accurate model for classifying cardiac arrhythmias

based on ECG-signal matching. Our framework is consisted of two steps, the preprocessing step which is introduced to match the ECG-templates of the arrhythmias with ECG window beats to find the similarity between them and store these similarities in form of numeric dataset to be used later with classification techniques. The classification step uses four classification techniques and applied in the MITBIH- arrhythmias database to classify the numeric

dataset so as to drive best technique


Requirement for the Project : Labview

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Project Title : Design and Development of New Parametric Wavelet





Research Interest : Biomedical Signal Processing and Embedded systems


A lot of research work in the signal processing has been carried out in the last few years using wavelets. But signal denoising has remained a fundamental problem in the field of signal processing. The problem of estimating a signal that is corrupted by noise has been of interest for

practical and theoretical reasons. Earlier several wavelet systems were designed for achieving good results in denoising the signals using various non-linear thresholding techniques in wavelet domain such as hard and soft thresholding , wavelet shrinkages such as Visu shrink, Sure shrink, Bayes shrink etc. The main aim of this project is to construct a new wavelet structure which could provide better results than compared to already available scalar

wavelet

Future Expansion of the Project: Feature extraction of ECG.

Requirement for the Project : Labview, Matlab

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Project Domain : Human Computer Interaction

Project Title : Gesture based Mobile device

Guide : Ch. Naga Deepa



Project Title : Design and Development of New Parametric Wavelet







A lot of research work in the signal processing has been carried out in the last few years using wavelets. But signal denoising has remained a fundamental problem in the field of signal processing. The problem of estimating a signal that is corrupted by noise has been of interest for

practical and theoretical reasons. Earlier several wavelet systems were designed for achieving good results in denoising the signals using various non-linear thresholding techniques in wavelet domain such as hard and soft thresholding , wavelet shrinkages such as Visu shrink, Sure shrink, Bayes shrink etc. The main aim of this project is to construct a new wavelet structure which could provide better results than compared to already available scalar

wavelet



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Research Interest : Human Computer Interaction, Pattern recognition

Project Description

Now a day’s gesture recognition based Mobile devices plays an important role in the communication field. This project mainly consists of low cost sensor based gesture acquisition and recognition method. At first implement a sensor based embedded device; which works on the principle of motion detection. It consists of 3-axis accelerometer, 3-axis gyroscope, microcontroller, and XBee wireless transmitter module. An accelerometer measures acceleration and Gyroscope detects the angle of rotation along the x, y and z- coordinates. These two sensor signals have to be processed by using microcontroller and transmit to Laptop using XBee module. A dictionary of gesture data set has to be created using an embedded device which The recognition process will contain both training and testing phases. The training phase contains a data base which is collected from different subjects. With the help of MATLAB tool the gesture recognition can be done by using DTW (Dynamic Time warping) and HMM (Hidden Markov Model).

This project is useful for creating a user interface with computer own gestures.

Future Expansion of the Project :To control Electronic Home appliances

Requirement for the Project : Matlab, Arduino IDE, Xbee Pro Module

Project Domain : Human Computer Interaction

Project Title : Real Time Implementation Of Telugu Character Recognition using

Raspberry Guide : Ch.Naga Deepa



Research Interest : Human Computer Interaction, Pattern recognition

Project Description

The market for small hand-held devices like mobiles and tablet computers is constantly growing. User interfaces designed in native languages of the users, can increase the reach and usability of these devices to wider population. Till now there are many tools available for English language but there are

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only few for Telugu language. This project describes to implement a Telugu character recognizer (CR) using Raspberry pi board. The hardware which is used here in order to develop online character recognition system is Raspberry Pi which has ARM11 processor. The hardware and software is used for text output and the voice output for a particular letter is generated. Using these types of character recognizer tools helps them to communicate easily with the devices.

Future Expansion of the Project: For Disabled people who can't speak and hear, the only way of communication for

them is through Writing.

Requirement for the Project : Linux, Raspberry Pi

Project Domain : VLSI

Project Title -1 : Design of Low Power CMOS SRAM cell for High speed operations. Guide : L.Dharma Teja


Specialization : VLSI System Design

Research Interest : Fault Tolerance,VLSI


The project proposes a novel design of a low power static random access memory (SRAM) cell for high speed operations. The model adopts the voltage mode method for reducing the voltage swing during the write operation switching activity. Dynamic power dissipation increases when the operating frequency of the SRAM cell increases. In the proposed design we use two voltage sources connected with the Bit line and Bit bar line for reducing the voltage swing during the write “0” or write “1” operation. We use 90 nm CMOS technology with 1 volt of power supply. Simulation is done in Microwind 3.1 by using BSim4 model. Dynamic power for different frequencies is calculated. We compare it with conventional 6-T SRAM cell. The simulation results show that the power dissipation is almost constant even the frequency of the proposed SRAM model increases. This justifies the reduction of the dynamic power dissipation for high frequency CMOS VLSI design.

Future Expansion of the Project : Analysis of this project can give scope for designing with less number of transistors

Requirement for the Project : Mentor Graphics (Pyxis Schematic & Pyxis Layout)

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Project Title -2 : Asynchronous Design of Energy Efficient Full Adder Guide : L.Dharma Teja


Specialization : VLSI System Design

Research Interest : Fault Tolerance,VLSI


Asynchronous adiabatic logic (AAL) is a novel low-power design technique which combines the

energy saving benefits of asynchronous systems with adiabatic benefits. In this paper, energy

efficient full adder cell using double pass transistor with asynchronous adiabatic logic (DPTAAL) is

investigated. Asynchronous adiabatic circuits are very low power circuits to preserve energy for

reuse, which reduces the amount of energy drawn directly from the power supply. In this work, a

full adder cell using DPTAAL is designed and simulated, which exhibits less energy and reliable

logical operations. To improve the circuit performance at reduced voltage level, double pass

transistor logic (DPL) is introduced. The energy performance of the proposed design is compared

with the conventional CMOS full adder and the quasi-adiabatic families of full adder cell designs

namely, 2N2P, 2N2N2P, PFAL, ADSL, IPGL. Simulation results show significant energy savings from

15 to 75% for clock rates ranging from 100MHz to 200MHz.


To develop economical high- performance and highly reliable circuit. The circuitplays a key role in ensuring the long term reliability and performance .

Requirement for the Project : Mentor Graphics (Pyxis Schematic & Pyxis Layout)

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Project Domain : DBMS and MySQL

Project Title : EXAMINATION INVIGILATION SCHEDULING SYSTEM

Guide : K S Shilpa


Specialization : Digital Electronics

Research Interest : Wireless Sensor networks and Embedded Systems

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The project is focused with exam cell of the college and the automation of staff allocation for the exam duties for each class and student allocation. Students seating arrangement and allocation of staff for invigilation for each class became a tedious process. Hence this application is developed in intension to reduce the work load considerably and keeps the data secure.

Existing system:

In present exam cell, they don't have software for automation of seating arrangements for students and room invigilation allocation for staff. Everything is paper work and it is tedious to maintain the record. Also Present manual work is time consuming and it took lot of man power to complete those work.

Proposed System:

Automation of students’ room allocation and staff invigilation allocation. With the proposed system it is easy to maintain the record. It will be easier to process and less time consuming. It is easy to obtain the report.

Future Expansion of the Project: Automation which also includes SMS to invigilators.

Requirement for the Project: A Desktop/Laptop, MySQL-open source relational database management

system, GUI Designer.

Project Domain : Wireless Sensor networks

Project Title : Image Transmission over ZigBee-Based Wireless Sensor Networks

Guide : K S Shilpa


Specialization : Digital Electronics

Research Interest : Wireless Sensor networks and Embedded Systems


A common greenhouse application uses a small camera to monitor a particular plant of interest. Because of resource constraints in the sensor nodes, digital image transmission is a challenge for image-sensor-based wireless sensor networks (WSNs). A useful design and implementation of a wireless image sensor network with low costs, low power, and based on a low rate ZigBee protocol is presented. The WSN hardware platform and acquisition software use a simple best effort protocol to transmit JPEG images over a ZigBee network. Experimental results show that the performance of the WSN platform is reliable.

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Future Expansion of the Project: This project can be extended for video transmission.

Requirement for the Project: Zigbee modules, ns-2 simulation software.

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Project Title : Improved Hamming Code for Error Detection and Correction Guide : G.Shanthi



Research Interest : VLSI Design, Communication Systems

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Project Description

Hamming code is well known for its single-bit error detection & correction capability. To provide such a

capability, it introduces 4 redundancy bits in a 7-bit data item. These redundancy bits are to be

interspersed at bit positions 2n (n = 0, 1, 2, 3) with the original data bits. After error detection &

correction, if any, the data bits have to be reassembled by removing the redundancy bits. In the proposed

improvement the redundancy bits are appended at the end of data bits. This eliminates the overhead of

interspersing the redundancy bits at the sender end and their removal at the receiver end after checking

for single-bit error and consequent correction, if any. Further the effort needed in identifying the values

of the redundancy bits is lower in the proposed novel method. Hamming code is normally used for

transmission of 7-bit data item. Scaling it for larger data lengths results in a lot of overhead due to

interspersing the redundancy bits and their removal later. In contrast, the proposed method is highly

scalable without such overhead. Because of this feature it is suitable for transmission of large size data

bit-streams with much lower redundancy bits per data bit ratio.

Future Expansion of the Project :.

Requirement for the Project : Model Sim 6.1, Verilog

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Project Title : CRC-Free Hybrid ARQ System Using Turbo Product Codes

Guide : G.Shanthi



Research Interest : VLSI Design, Communication Systems

Project Description

CRC is the preferred and most efficient method used for detecting bit errors produced from medium related noise. For example, Ethernet uses a 32-bit CRC polynomial for error detection. Data storage is another area where CRC error detection is becoming increasingly CRC checks to be executed at high speed as well.

This project presents a hybrid automatic repeat request (HARQ) system using turbo product codes (TPC).

The inherent word-error detection capability of TPC is exploited to replace the conventional cyclic

redundancy check (CRC) used for packet error detection in conventional HARQ systems. Therefore,

TPC are used for joint bit error correction and packet error detection. Consequently, the HARQ system

efficiency is improved by increasing the system throughput when short packets are transmitted or by

reducing the computational complexity/delay when the packets transmitted are long. Monte Carlo

simulation results reveal that the CRC-free TPC-HARQ system consistently provides equivalent or higher

throughput than CRC-based HARQ systems. Moreover, numerical results show that TPC self-detection has

lower computational complexity than CRC detection, particularly for TPCs with high code rates. In

particular scenarios, the relative complexity of the self-detection approach with respect to popular

CRC techniques is about 0.3%.

The architecture will be authored in VHDL, will be synthesized, and implemented using Xilinx ISE

Foundation 10.1i. For Behavioral simulation, Place and Route simulation Modesim6.0 is used.

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Future Expansion of the Project:.

Requirement for the Project : Model Sim 6.1, Verilog

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Project Domain : Bio Medical Signal Processing

Project Title : EEG feature extraction for classification of sleep stages

Guide : G.Vijaya Kumar


Specialization : Signal processing

Research Interest : Image/Signal , Bio medical Signal processing


Automated sleep staging based on EEG signal analysis provides an important quantitative tool to assist neurologists and sleep specialists in the diagnosis and monitoring of sleep disorders as well as evaluation of treatment efficacy. A complete visual inspection of the EEG recordings acquired during nocturnal polysomnography is time consuming, expensive, and often subjective. Therefore, feature extraction is implemented as an essential preprocessing step to achieve significant data reduction and to determine informative measures for automatic sleep staging. However, the analysis of the EEG signal and extraction of sensitive measures from it has been a challenging task due to the complexity and variability of this signal. We present three different schemes to extract features from the EEG signal: relative spectral band energy, harmonic parameters, and Itakura distance. Spectral estimation is performed by using autoregressive (AR) modeling. We then compare the performance of these schemes with the view to select an optimal set of features for specific, sensitive, and accurate neuro-fuzzy classification of sleep stages.


Requirement for the Project : Matlab/Labview, EEG toolbox.


Project Title : Personalized real-time sleep stage remote monitoring system

Guide : G.Vijaya Kumar



Research Interest : Image/Signal , Bio medical Signal processing


326

It is a system which enables care workers to monitor a sleep stage of aged persons remotely, which is required to support aged persons who tend to wander in midnight and/or who are easily to fall down from their beds. For this purpose, develop a system that can estimate a sleep stage in real-time from a heartbeat and body movement data acquired by an unconstraint-typed pressure sensor, and such asleep stage is remotely displayed in tablets of care worker to inform a care timing for aged persons. Intensive human subject experiments have revealed the following implications: (1) the past data for estimating the sleep stage (even in one day data) contributes to estimating the future sleep stage; (2) the precision of the sleep stage estimation increases as the number of past data increases; and (3) such a precision further increases by using either of the past data where a heartbeat rate gradually increases or decreases. (i.e., the past data where a heartbeat rate increases (or decreases) contributes to improving a precision of the sleep stage of a person whose heartbeat rate increases (or decreases).


Requirement for the Project : IOT, GPS.


Project Title : Man-Machine Interaction Using Double Channel Electrooculogram (EOG) Signals

Guide : Ms.V.Priyanka B





: Electrooculography (EOG/E.O.G.) is a technique for measuring the corneo-retinal standing potential that exists between the front and the back of the human eye. To measure eye movement, pairs of electrodes are typically placed either above and below the eye or to the left and right of the eye. If the eye moves from center position toward one of the two electrodes, this electrode "sees" the positive side of the retina and the opposite electrode "sees" the negative side of the retina. Consequently, a potential difference occurs between the electrodes. Assuming that the resting potential is constant, the recorded potential is a measure of the eye's position. The bio-potential signal also is one of the examples of human–machine interface using of nonverbal information such as electrooculography (EOG), electromyography (EMG), and electroencephalography (EEG) signals. The EOG and EMG signals are physiological changes; but here we are focusing the mainly on EOG signals for the human– machine interface. This project has investigated that different EOG signals obtained from four different places around eye; (right, left, up, and down) have led to different level of distance and rotation of wheelchair. Those four signals are correspond to different levels of right and left steer, forward and backward motion.


327



Project Title : Classifying Electrooculogram to Detect Directional Eye Movements






Human computer interfaces that can be controlled by eye movements may be used as intelligent rehabilitation aids. Electrooculogram (EOG), the biopotential produced around eyes due to eye ball motion can be used to track eye movements. This project presents a comparative study of different methods for Electrooculogram classification to utilize it to control rehabilitation aids. Electrooculogram is acquired with a designed data acquisition system and different signal features are extracted. Those features are used to classify the movements of the eyeball in horizontal and vertical direction. Based on these extracted. Those features are used to classify the movements of the eyeball in horizontal and vertical direction. Based on these classified signals control commands can be generated for human computer interface.



328


Project Title : Classifying Electrooculogram to Detect Directional Eye Movements






Human computer interfaces that can be controlled by eye movements may be used as intelligent rehabilitation aids. Electrooculogram (EOG), the biopotential produced around eyes due to eye ball motion can be used to track eye movements. This project presents a comparative study of different methods for Electrooculogram classification to utilize it to control rehabilitation aids. Electrooculogram is acquired with a designed data acquisition system and different signal features are extracted. Those features are used to classify the movements of the eyeball in horizontal and vertical direction. Based on these extracted. Those features are used to classify the movements of the eyeball in horizontal and vertical direction. Based on these classified signals control commands can be generated for human computer interface.



330


Project Title : Implementation of an Efficient Test Vector Compression Scheme

Using Selective Huffman Coding on Spartan-III FPGA.

Guide : P.Kishore

Qualification : M.Tech(Ph.D)

Specialization : VLSI

Research Interest : Video Processing, Signal processing, Low power VLSI.


This project presents a compression/decompression scheme based on selective Huffman coding for reducing the amount of test data that must be stored on a tester and transferred to each core in a system-on-a-chip (SOC) during manufacturing test. The test data bandwidth between the tester and the SOC is a bottleneck that can result in long test times when testing complex SOCs that contain many cores. In the proposed scheme, the test vectors for the SOC are stored in compressed form in the tester memory and transferred to the chip where they are decompressed and applied to the cores. Given the set of test vectors for a core, a modified Huffman code is carefully selected so that it satisfies certain properties. Results indicate that the proposed scheme can provide test data compression nearly equal to that of an optimum Huffman code with much less area overhead for the decoder.

Future Expansion of the Project: This project can be implemented for a real time application where storage memory is essential and to achieve an efficient testing with minimum number of test vectors.

Requirement for the Project : Mentor Graphics tools, Spatan-III FPGA kit.


Project Title : Design of An Efficient Reversible Logic Based Bidirectional Barrel

Shifter

Guide : P.Kishore

Qualification : M.Tech (Ph.D)


Research Interest : Video Processing, Signal processing, Low power VLSI.


Embedded digital signal processors and general purpose processors will use barrel shifters to manipulate data. This project will present the design of the barrel shifter that performs logical shift right, arithmetic shift right, rotate right, logical shift left, arithmetic shift left, and rotate left operations. The main objective of the upcoming designs is to increase the performance without proportional increase in power consumption. In this regard reversible logic has become most popular technology in the field of low power computing, optical computing, quantum computing and other computing technologies. Rotating and data shifting are required in many operations such as logical and arithmetic operations, indexing and address decoding etc. Hence barrel shifters which can shift and rotate multiple bits in a single cycle have become a common choice of design for high speed applications. The design has been done using reversible fredkin and feynman gates. In the design the 2:1 MUX can be implemented by fredkin gate which reduce quantum cost, number of ancilla bits and number of garbage outputs. The feynman gate will remove the fanout. By comparing the quantum cost, number of ancilla bits and number of garbage outputs the design is evaluated.

Future Expansion of the Project: The reversible logic gates concept can be implemented to complex circuits for improving the power dissipation.

Requirement for the Project : Mentor Graphics tools, Spatan-III FPGA kit.

331


Project Title Low power built in self- test (BIST) architecture for fast multiplier embedded core

Guide: K.sarath chandra

Qualification : M.Tech,


Research Interest : Low-Power VLSI, Analog IC, CNTFET based Designs


Low power has emerged as a principal theme in today's electronic industry. Energy efficiency is one of the most critical features of modern electronic systems designed for high speed and portable applications. Reduction of power consumption makes a device more reliable and efficient. The minimum amount of power consumption was a major driving force behind the development of CMOS technologies. As a outcome, CMOS technology are best known for low power consumption devices. However, for minimizing the power consumption of system or device, simply knowing that CMOS devices may consume less power than equivalent devices from other technologies does not help much. It is important to know not only how to calculate power consumption, but also to calculate how various factors such as input voltage level, input rise time, source leakage current, Gate current, Switching power, short-circuit power, power-dissipating capacitor, and output loading affect the power requirement of a device

Future Expansion of the Project: This can be extended to CNTFET based Design

Requirement for the Project: HSPICE/ Cadence/ Mentor Graphics Tools or any other Circuit Simulator

Tools

332


Project Title : Design of Low Power Adaptive Flash ADC with CNTFET Guide: K.sarath chandra



Research Interest : Low-Power VLSI, Analog IC Design, CNTFET based Design

Project Description

Device scaling is an important part of the very large scale integration (VLSI) design to boost

up the success path of VLSI industry, which results in denser and faster integration of the devices. As

technology node moves towards nanotechnology, leakage current and second order effects are the key

issues. Both are increasing with the new technology generation and affecting the performance of the

overall logic circuit. The VLSI designers must keep the balance in power dissipation and the circuit’s

performance with scaling of the devices. The problems associated with scaling of the device are higher

sub threshold conduction, increased junction leakage and high leakage power there by increasing the

power dissipation. To overcome the problems prevailing with scaling in CMOS technology, researchers

are looking for alternative technologies. Carbon NanoTube FET (CNTFET) is found to be one of the

substitutes for CMOS. Analog-to-digital converters (ADCs) are key design blocks in modern

microelectronic digital communication systems.

Hence, this project proposes the design of ADC using CNTFETs.

Future Expansion of the Project: In future this project can be used to design the data in sensors.

Requirement for the Project: HSPICE/ Synopsys/ Mentor Graphics Tools or any other Circuit

Simulator Tools

333

Project Domain : Satellite Communication

Project Title : Studies on Rain Fade Attenuation at Indian Region by Fade Mitigation Techniques

Guide : K.Kalyana Srinivas


Specialization : RF& Microwave Engineering

Research Interest : Fade Dynamics


ABSTRACT: Any rain drop in the path of either signal which approached half the wave

length in diameter will cause attenuation. So it is important for the system to stay in compensation

configuration during the fade duration. This means due to the usage of fade mitigation techniques

users still can get the signal even though at that time the rain attenuation happens.

Making use of Fade Mitigation Techniques involves adapting in real time the link budget to the

propagation conditions. through some specific parameters such as power, data rate, coding etc.

However, this real time adaptivity has an impact not only on carrier-to-noise ratios but also on

carrier-to-interference ratios and on upper layers. Both aspects have therefore to be carefully

studied.

Future Expansion of the Project : VARIOUS FADE ANOMOLIES


334

Project Domain : Satellite Communication

Project Title : Analysis of Fade Duration Statistics of INSAT

Propagation Experimental Simulations at 11.6 and 14.2GHZ

Frequencies

Guide : K.Kalyana Srinivas


Specialization : RF& Microwave Engineering

Research Interest : Fade Dynamics


The new millimeter wave radio systems, in fact, plan to use at higher frequency bands up to 50/100 GHz so that the tropospheric effects have a strong impact on system performances, requiring fade mitigation techniques, in order to design systems able to provide satisfactory availability objectives. Such techniques in most cases must act in real time so their implementation through the design of a control loop has to take into account the dynamic behavior of the propagation channel, so that the necessity of simulators of synthetic time series of tropospheric attenuation araised. Synthetic time series of attenuation should be reliable in reproducing both the first and the second order statistics of the measured signal. These models usually need as input cumulative distribution functions of attenuation, fade duration and fade slope, in addition to signal spectrum characteristics and some other conditional statistics.

The simulations are performed based on the technical specifications of INSAT series if satellite and its time series of rain attenuation long term data which is available for the period from 2010-2013 (3 years). In this study we will considered several thousands of rain events calculating the yearly and monthly average statistics of fade duration and fade slope which will be presented together with the comparison of the prediction of available prediction models.

Future Expansion of the Project : VARIOUS FADE ANOMOLIES


335


Project Title : Early Diagnosis of Tuberculosis and Pneumonia Using Acoustic

Signals

Guide : V.Naveen Kumar



Research Interest : Signal, Image processing and Speech processing


The main focus of the project is to understand current condition and analyze acoustic samples in particular cough and stress level. This helps in developing a system which analyses the severity in chronic diseases like tuberculosis and pneumonia or offer early diagnosis of the disease.

Collect the speech or sound samples from the patient which can give interesting information about the patient and may help in decision making. The sentences uttered may give valuable information about the patient like stress level, type of cough. By using this data and expert rules we can provide the related output. The expert system would consist of mainly decision logic which takes the input and the scientific knowledge. The system will then assign weights to the input and gives us a vector that would actually categorize the output into appropriate categories. Then, by generating the summary report we share the same with the doctor or hospital.

The Mel frequency Cepstrum coefficients (MFCC) are the features extracted .The MFCC vectors are extracted for the given input and the variations in these coefficients are analyzed by applying delta and delta-delta transformation. Once the features are extracted the data points are subjected to classification algorithm. The system uses GMM algorithm for the purpose.

To increase the accuracy and efficiency, different algorithm such as HMM can be used. The extracted acoustic parameters from the voice signals are used as an input for the MFCC

Future Expansion of the Project:.

Requirement for the Project :Matlab

336

Project Domain : Communication

Project Title : Wireless Data Encryption & Decryption for secured Communication using RF

Guide : V.Vikas

Qualification : M.E

Specialization : Communication systems

Research Interest : Wireless communications.


Data Security is primary concern for every communication system. There are many ways to

provide security data that is being communicated. However, what if the security is assured irrespective

of the hackers are from the noise. This Project describes a design of effective security for data

communication by designing standard algorithm for encryption and decryption. The source information

is generated by a PS2 Keyboard and this will be encrypted and is sent to destination through RF

communication. The receiving system will check the data and decrypt according to a specific algorithm

and displays on the LCD. The RF modules used here are STT-433 MHz Transmitter, STR-433 MHz

Receiver, HT12E RF Encoder and HT12D RF Decoder. RF Transmitter is connected to the different

sensors through RF Encoder. This encoder converts the 8-bit data into a single bit and sends it to the

transmitter which will be transmitting. The data which is in the air is an analog value. At the receiving

end, the receiver receives this analog value on a single data line and passes this data to the decoder.

The decoder does the opposite functioning of the encoder i.e., it converts the single bit data into eight

bit data and gives it to the microcontroller which does the further processing. This project uses

regulated 5V, 500mA power supply. 7805 three terminal voltage regulator is used for voltage

regulation. Bridge type full wave rectifier is used to rectify the ac out put of secondary of 230/12V step

down transformer.

.

337

Project Domain : Communication

Project Title : wireless music transmission and reception by IR communication

Guide : V. Vikas

Qualification : M.E

Specialization : Communication Systems

Research Interest : Wireless Communications.

Project Description

ABSTRACT:

By using this project audio musical notes can be generated and heard up to a distance of 10 meters. The

circuit can be divided into two parts: IR music transmitter and receiver. The IR music transmitter works

off a 9V battery, while the IR music receiver works off regulated 9V to 12V. The transmitter uses popular

melody generator IC UM66 that can continuously generate musical tones. The output of this music

melody generator is fed to the IR driver stage to get the maximum range. An LED is connected in the

Transmitter section. This LED flickers according to the musical tones generated by UM66 IC, indicating

modulation. Two IR LEDs are connected in series. For maximum sound transmission these should be

oriented towards IR phototransistor L14F1. The IR music receiver uses popular op-amp IC μA741 and

audio-frequency amplifier IC LM386 along with phototransistor L14F1 and some discrete components.

The melody generated by IC UM66 is transmitted through IR LEDs, received by phototransistor and fed

to pin 2 of IC μA741. Its gain can be varied using potentiometer VR1. The output of IC μA741 is fed to IC

LM386 via capacitor C5 and potentiometer. The melody produced is heard through the receiver’s

loudspeaker. Potentiometer VR2 is used to control the volume of loudspeaker (8-ohm, 1W). Switching

off the power supply stops melody generation.

This project uses regulated 9V, 750mA power supply. 7805 three terminal voltage regulator is used for

voltage regulation. Bridge type full wave rectifier is used to rectify the ac out put of secondary of

230/18V step down transformer.

Future Expansion of the Project: In future this project can be used to in real time applications.

339

Project Domain : Speech Processing

Project Title : Narrowband speech improvement by artificial bandwidth

extension (ABE)

Guide : Srinivasa Rao Patri


Specialization : Communications Systems

Research Interest : Communications Signal Processing and Cognitive Radio

Telephone systems commonly transmit narrowband speech with an audio bandwidth limited

to the traditional telephone band of 300–3400 Hz. The narrow bandwidth degrades the quality

and intelligibility of speech. A significant improvement is provided by the transmission of wideband speech, which typically covers the frequency range of 50–7000 Hz. Currently,

wideband speech services are increasingly deployed in cellular telephone networks, but the

transition from narrowband to wideband speech transmission is expected to take a long time.

The quality of narrowband speech can be improved by artificial bandwidth extension (ABE)

that attempts to reconstruct the missing frequency content artificially from the narrowband

speech signal. ABE can be implemented in the receiving terminal device and used with the

existing narrowband speech coding and transmission techniques. ABE is expected to gain

importance during the transition to wideband telephony as a means to reduce the perceived

quality difference between narrowband and wideband speech.

Future Expansion of the Project:. Improve by more band width extension


340

Project Domain : Communications

Project Title : Spectrum sharing of the two systems by using Cognitive WPCNs

Guide : Srinivasa Rao Patri


Specialization : Communications Systems

Research Interest : Communications Signal Processing and Cognitive Radio

The recent advance in radio-frequency (RF) wireless energy transfer (WET) has motivated the study of wireless powered communication network (WPCN) in which distributed wireless devices are powered via dedicated WET by the hybrid access-point (H-AP) in the downlink (DL) for uplink (UL) wireless information transmission (WIT). In this paper, by utilizing the cognitive radio (CR) technique, we study a new type of CR enabled secondary WPCN, called cognitive WPCN, under spectrum sharing with the primary wireless communication system. In particular, we consider a cognitive WPCN, consisting of one single H-AP with constant power supply and distributed wireless powered users, shares the same spectrum for its DL WET and UL WIT with an existing primary communication link, where the WPCN's WET/WIT and the primary link's WIT may interfere with each other. Under this new setup, we propose two coexisting models for spectrum sharing of the two systems, namely underlay and overlay-based cognitive WPCNs, depending on different types of knowledge on the primary user transmission available for the cognitive WPCN. For each model, we maximize the sum-throughput of the cognitive WPCN by optimizing its transmission under different constraints applied to protect the primary user transmission. Analysis and simulation results are provided to compare the sum-throughput of the cognitive WPCN versus the achievable rate of the primary user under two proposed coexisting models. It is shown that the overlay based cognitive WPCN outperforms the underlay based counterpart, thanks to its fully co-operative WET/WIT design with the primary WIT, while also requiring higher complexity for implementation.

Future Expansion of the Project:. Increase the rate of the primary user under two proposed coexisting

models


341

Project Domain : Machine Vision

Project Title : Machine vision for traffic violation detection system through genetic algorithm

Guide : Ms. Haritha Mittapally

Qualification : M. Tech

Specialization : Embedded systems

Research Interest : Communications, Signal and Image processing, Embedded Systems, Robotics and Networks


A machine vision algorithm to detect traffic violations specifically swerving and blocking the pedestrian lane. The proposed solution consists of background difference method, and focuses on the genetic algorithm of the system to detect these violations. The general process is as follows: a capture picture is to be subtracted first by the reference image, then the genetic algorithm is run to find the violator, and finally a display is outputted with the corresponding type of violation. The machine vision traffic violation detection system was found to have an average convergence of about 8 iterations, within an average of less than 300 generations. The algorithm is well-suited for real time implementation in traffic detection system. The system inputs are captured photos from a CCTV camera, whereas the outputs are cropped pictures of the car that was detected to have such violations mentioned earlier.


Requirement for the Project: Matlab, Cameras

Project Domain : Robotics and Machine Vision

Project Title : Computer vision approach for controlling educational robotic arm based on object properties

Guide : Ms. Haritha Mittapally

Qualification : M. Tech


Research Interest : Communications, Signal and Image processing, Embedded Systems, Robotics and Networks

342


An autonomous robotic frame work for academic, vocational and training purpose. The platform is centered on a 6 Degree Of Freedom (DOF) serial robotic arm. Two on-board cameras develop a computer vision system for detection and autonomous object/target manipulation placed randomly on a target surface and controls an educational robotic arm to pick it up and move it to a predefined destination. The computer vision is initially used to identify the color and shape of the object. The system applies Centre-Of-Mass based computation, filtering and color segmentation algorithm to locate the target and the position of the robotic arm. The proposed platform finds its potential to implement and validate advanced algorithms for object manipulation and grasping, trajectory generation, path planning, etc.


Requirement for the Project: Matlab, Camera

343

Project Domain : Wireless Communications & Networks

Project Title : Spectrum sensing on Cognitive Radio Networks and communication

Guide : Deepthi Konikineni


Specialization : Digital Electronics & Communication Systems

Research Interest : Wireless Communications & Networks


A CSKA (Carry Skip Adder) structure is designed that has a higher speed, lower energy composition compared with the conventional one. The speed enhancement is achieved by applying concatenation and incrimination schemes to improve the efficiency of conventional CSKA. In addition, instead of utilizing multiplexer logic the proposed structure makes use of AND OR Invert and OR AND INVERT compound gates for the skip logic. The structure may be realized with both fixed stage size and variable stage size styles, where in the latter further improves the speed and energy parameters of the adder. Finally a hybrid variable latency extension of the proposed structure which lowers the power consumption without considerably impacting the speed is presented. This extension utilizes a modified parallel structure for increasing the slack time, and hence enabling further voltage reduction. The proposed structures are accessed by comparing their speed, power, and energy parameters with those of other adders using a 45nm static CMOS technology for a wide range of supply voltages. The results that are obtained using h-Spice simulations reveal, on average, a 44% and 38% improvements in the delay and energy, respectively, compared with those of the CONV - CSKA. In addition, the power delay of the product was the lowest among the structures is considered. While, its energy delay product was almost the same that of the Kogge-stone parallel prefix adder with considerably smaller area and power consumption. Simulation on the proposed hybrid variable latency CSKA reveal reduction in the power consumption compared with the latest works in this field while having a reasonably high speed. .

Future Expansion of the Project: This can be used in present day wireless communications

Requirement for the Project: Network Simulator or MATLAB.

344

Project Domain : Networking

Project Title : Advanced Multiple Routing Configuration

Guide : Deepthi Konikineni


Specialization : Digitalm electronics and communications

Research Interest : wireless communications & networking

Project Description

The network plays a central role in our communication infrastructure. Any occurrence of sudden network failure becomes a growing problem. Node failures and link failures stops further transmission of packets through the network. Multiple Routing Configuration (MRC) is a novel mechanism that automatically detects the defects in network and recovers the failures quickly.

Multiple Routing Configuration (MRC) is a proactive and is a local protection mechanism. Here the failure recoveries are in the range of milliseconds. Immediately after detection of failure, MRC allows packet forwarding to continue over preconfigured alternative next-hops. After any node or link failure, performance is analyzed with respect to scalability, backup path length, and load distribution. MRC is mainly based on backup routing configuration, which is used to avoid traffic on alternative paths. MRC approach is threefold. First, create a set of backup configurations; every network component is excluded from packet forwarding in one configuration. Second, OSPF is used to calculate configuration specific shortest paths and create forwarding tables in each router. By using the standard routing algorithm, loop-free forwarding within one configuration is guaranteed. Finally, design a forwarding process to provide fast recovery from a component failure. MRC doesn’t affect the failure free original routing i.e. when there is no failure all packets are forwarded according to the original configuration, where all link weights are normal.

MRC recovers network failure from single node and link failures and MRC doesn’t protect network from multiple node or link failures. The main aim of this project is to extend MRC recovery mechanism to multiple node or link failures in data transmission by using the timeslot mechanism in Advanced MRC(AMRC). By recovering these failures, data transmission in network will become very fast.

Future Expansion of the Project: In future this project can be used to identify the failures in network

Requirement for the Project: Network Simulator

346



Guide : Peddi Anudeep



Research Interest : Low-Power VLSI, IoT, 3D ICs


A CSKA (Carry Skip Adder) structure is designed that has a higher speed, lower energy composition compared with the conventional one. The speed enhancement is achieved by applying concatenation and incrimination schemes to improve the efficiency of conventional CSKA. In addition, instead of utilizing multiplexer logic the proposed structure makes use of AND OR Invert and OR AND INVERT compound gates for the skip logic. The structure may be realized with both fixed stage size and variable stage size styles, where in the latter further improves the speed and energy parameters of the adder. Finally a hybrid variable latency extension of the proposed structure which lowers the power consumption without considerably impacting the speed is presented. This extension utilizes a modified parallel structure for increasing the slack time, and hence enabling further voltage reduction. The proposed structures are accessed by comparing their speed, power, and energy parameters with those of other adders using a 45nm static CMOS technology for a wide range of supply voltages. The results that are obtained using h-Spice simulations reveal, on average, a 44% and 38% improvements in the delay and energy, respectively, compared with those of the CONV - CSKA. In addition, the power delay of the product was the lowest among the structures is considered. While, its energy delay product was almost the same that of the Kogge-stone parallel prefix adder with considerably smaller area and power consumption. Simulation on the proposed hybrid variable latency CSKA reveal reduction in the power consumption compared with the latest works in this field while having a reasonably high speed. .

Future Expansion of the Project: This can be used in present day electronics


Simulator Tools

347

Project Domain : IoT


Guide : Peddi Anudeep



Research Interest : Low-Power VLSI, IoT, 3D ICs

Project Description

Now-a-days the usage of internet in the villages has been increasing tremendously. “Internet of Things” has become a very popular field of interest for the young engineers, which has also paved a way to create many simpler solutions/ways for household and several other industrial applications. From the past few years various agricultural reforms are happening around the world which is helping the farmer to overcome many difficulties. In this paper we are proposing a new era of agriculture by introducing IoT into the field of agriculture which may create some kind of sophistication for the modern smart world by operating and monitoring the conditions of the agriculture i.e., an agricultural cloud support system for greenhouse horticulture or for a normal agriculture. This creates an automatic irrigation system that automatically adjusts the quantity of water or fertilizer based on the sensor data. We have used Raspberry Pi instead of using a personal computer for reducing the cost of the project. .

Future Expansion of the Project: In future this project can be used to in real time agriculture.

Requirement for the Project: RPi, ATMEGA 8, GOOGLE SPREAD SHEETS, Monitor, Internet, Zigbee

transceiver, Small Motor, LDR, DHT11.

349


Project Title : Development of Tiny Field Programmable Gate Array (FPGA)

Guide : K.Rama Mohana Reddy


Specialization : Electronics Design Technology

Research Interest : Nano Electro mechanical Systems


Field-Programmable Gate Arrays (FPGAs) are pre-fabricated silicon devices that can be electrically programmed to become almost any kind of digital circuit or system. They have many advantages over Application Specific Integrated Circuits (ASIC). ASICs are designed for specific application using CAD tools and fabricated at a foundry. Developing an ASIC takes very much time and is expensive. Furthermore, it is not possible to correct errors after fabrication. In contrast to ASICs, FPGAs are configured after fabrication and they also can be reconfigured. This is done with a hardware description language (HDL) which is compiled to a bit stream and downloaded to the FPGA. The disadvantages of FPGAs are that the same application needs more space (transistors) on chip and the application runs slower on a FPGA as modern as the ASIC counterpart. Due to the increase of transistor density FPGA were getting more powerful over the years. On the other hand the development of ASICs was getting slower and more expensive. Therefore FPGAs are increasingly applied to high performance embedded systems

Future Expansion of the Project: Development of ALUs

Requirement for the Project :VHDL Tools

350


Project Title : DESIGN OF HIGH SPEED, LOW-POWER FULL ADDER CELLS

BASED ON CARBON NANOTUBE TECHNOLOGY

Guide : K.Rama Mohana Reddy


Specialization : Electronics Design Technology

Research Interest : Nano Electro mechanical Systems


In very large scale integration (VLSI) systems, full adder circuit is used in arithmetic operations for addition, multipliers and arithmetic logic unit (ALU). It is a building block of the application of VLSI, digital signal processing, image processing and microprocessors. Most of full adders systems are considered performance of circuits, number of transistor, speed of circuit, chip area, threshold loss and full swing output and the most important is power consumption. The portable devices such as cell phone, laptop, computer, tablet etc. that needs a low power and high speed for components and requirements.

The adders that are designed with MOS Technology consume more power because of leakage currents and second order effects as we reach nanometre technology. The VLSI designers must keep the balance in power dissipation and the circuit’s performance with scaling of the devices.

To overcome the problem prevailing with scaling in CMOS technology, researchers are looking for alternative technologies. Carbon NanoTube FET (CNTFET) is found to be one of the substitutes for CMOS.

In this proposed method to reduce the power consumption and to increase speed, full adder is designed with less number of transistors and replacing the MOS technology with CNTFET. To carry out this work the tool we need are Synopsys HSPICE.

351

Future Expansion of the Project: Development of Nano Systems

Requirement for the Project :H-Spice Tools

352


Project Title : Least-Mean-Square algorithm based adaptive filters for removing power line interference from ECG signal

Guide : K.Anusha Qualification : M.Tech

Specialization :

Research Interest :


The 50 Hz power line is one of the main sources of interference in ECG signal measurement,

and it distorts the original ECG signal while recording. Recently, adaptive filtering has become one of

the effective and popular methods for the processing and analysis of the ECG signal. In this study, we

have used adaptive filters to remove the power line interference from the ECG signal. We have used

different adaptive filter algorithms, such as, Least-Mean-Square (LMS), Block LMS (BLMS), Delay LMS

(DLMS), Adjoint LMS, Filtered-X (XLMS), Normalized LMS (NLMS) and Fast Fourier Transform BLMS (FFT

BLMS). We have used the Signal Processing Toolbox of the mentioned algorithms built in MATLAB®. It

reveals that among all the adaptive filters, the adaptive NLMS filter removes the 50 Hz power line

interference more effectively.


353

Project Domain : Wireless Communications

Project Title : Interference Suppression and Resource Allocation Wit Multi-User

MIMO-OFDMA System Guide : B.B.Shabarinath


Specialization :

Research Interest :


Radio resource management techniques for broadband wireless systems beyond the existing

cellular systems are developed while considering their special characteristics such as multi-carrier

techniques, adaptive radio links and multiple-input multiple-output (MIMO) antenna techniques.

Special focus is put on the design of linear transmission strategies in a cooperative cellular system

where signal processing can be performed in a centralised manner across distributed base station (BS)

antenna heads. A time-division duplex cellular system based on orthogonal frequency division

multiplexing (OFDM) with adaptive MIMO transmission is considered in the case where the received

signals are corrupted by non-reciprocal inter-cell interference. A bandwidth efficient closed-loop

compensation algorithm combined with interference suppression at the receiver is proposed to

compensate for the interference and to guarantee the desired Quality of Service (QoS) when the

interference structure is known solely at the receiver. OFDM is suitable for high data rate transmission

owing to its inherent error resistance in a multi-path environment, and gives high spectral efficiency

due to overlapped spectrum. The provision of simple and flexible multiple access schemes like OFDMA

make it the natural choice for variable data rate wireless systems. Blind and semi-blind recovery of

user signals is attractive for high data rate wireless communication system as it obviates the need for

periodic training signals. The multi access interference exist in conventional OFDM systems this leads

to degrading the quality of service and another problem in conventional OFDM systems is for any type

of service they are allocating same amount of power. In this project we are going to solve these

problems by dividing the services based on bit rate and allocating powers based on bit rate and we

introduced a interference margin limit concept to overcome multi access interference. The suggested

approach is to be implemented in matlab tool.

Requirement for the Project MatLab Tools

355

Project Domain : Wireless Communications

Project Title : Interference Suppression and Resource Allocation Wit Multi-User

MIMO-OFDMA System Guide : B.B.Shabarinath


Specialization :

Research Interest :


Radio resource management techniques for broadband wireless systems beyond the existing

cellular systems are developed while considering their special characteristics such as multi-carrier

techniques, adaptive radio links and multiple-input multiple-output (MIMO) antenna techniques.

Special focus is put on the design of linear transmission strategies in a cooperative cellular system

where signal processing can be performed in a centralised manner across distributed base station (BS)

antenna heads. A time-division duplex cellular system based on orthogonal frequency division

multiplexing (OFDM) with adaptive MIMO transmission is considered in the case where the received

signals are corrupted by non-reciprocal inter-cell interference. A bandwidth efficient closed-loop

compensation algorithm combined with interference suppression at the receiver is proposed to

compensate for the interference and to guarantee the desired Quality of Service (QoS) when the

interference structure is known solely at the receiver. OFDM is suitable for high data rate transmission

owing to its inherent error resistance in a multi-path environment, and gives high spectral efficiency

due to overlapped spectrum. The provision of simple and flexible multiple access schemes like OFDMA

make it the natural choice for variable data rate wireless systems. Blind and semi-blind recovery of

user signals is attractive for high data rate wireless communication system as it obviates the need for

periodic training signals. The multi access interference exist in conventional OFDM systems this leads

to degrading the quality of service and another problem in conventional OFDM systems is for any type

of service they are allocating same amount of power. In this project we are going to solve these

problems by dividing the services based on bit rate and allocating powers based on bit rate and we

introduced a interference margin limit concept to overcome multi access interference. The suggested

approach is to be implemented in matlab tool.

Requirement for the Project MatLab Tools

357

Project Domain : Communication Systems

Project Title : Inter Vehicular Communication Systems

Guide : V.M.Mitu


Specialization :

Research Interest :

Project Description

Driver assistance systems are meant to support drivers with driving process in order to avoid traffic accidents, speed up the traffic and have a higher control over the traffic in general. There are a lot of systems which give support to the drivers, such as adaptive cruise control, traffic sign recognition, automatic parking, etc. Here we focus on the vehicular communication systems. These systems use the capacity of the vehicles to communicate, not only between them but also with infrastructures. All the information is collected and processed to offer useful services. Wireless Sensor Networks (WSN) are widely used in this area. With the incoming upgrades of these networks, they are becoming an attractive solution to give support with the communication mechanisms between vehicles.


Requirement for the Project:

358

Project Domain : VLSI design

. Project Title : A Reconfigurable 8T Ultra-Dynamic Voltage Scalable (U-DVS) SRAM

. Memory design in 45nm CMOS for military applications Guide : Ch.Ganesh



Research Interest : Low-Power VLSI.


UDVS techniques are presented in this paper to minimize the power consumption. Designing memories with dynamic voltage scaling (DVS) capability is important since significant active as well as leakage powers can be reduced by voltage scaling. Ultra dynamic voltage scaling is to scale the supply voltage by using assists circuits for different modes of the cell operation. Write assist circuits are designed to improve the write margin of the SRAM cell. In this paper three write assist circuits and two read assists circuits have been designed. First one is Capacitive W-AC approach to reduce the level of cell supply voltage accordingly when word line is enabled so as to make power reduction. Second scheme is Transient Negative Bit-line Voltage write assist scheme performs write operation without using any on-chip or off-chip voltage sources. Read assist circuits are designed for basic cell of SRAM to read the data from the cell without altering the cell data with low power consumption and also their challenges pointed out. Reconfigurable assist circuits provide the necessary adaptability for circuits to adjust themselves to the requirements of the voltage range that they are operating in. In this paper finally implemented 8T SRAM cell in 45nm technology with operating voltage 1V.

Future Expansion of the Project: This UDVS Memory is able to withstand high temperature conditions.

Requirement for the Project: Tanner EDA and HSPICE/ Cadence virtuoso (gpdk-45) / Mentor Graphics Tools or any other Circuit Simulator Tools

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DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING PROJECT ABSTRACTS 2015-16

S.NO PROJECT DOMAIN PROJECT TITLE

NAME OF THE FACULTY & DESIGNATION

PAGE NO

1

WEB TECHNOLOGIES

DEVELOPMENT OF DATA LEAKAGE DETECTION USING DATA ALLOCATION STRATEGIES DR. G. RAMESH

CHANDRA, Professor

IMAGE PROCESSING

SECURE FINGERPRINT VERIFICATION BASED ON IMAGE PROCESSING SEGMENTATION USING


Project Title : ASIC Implementation of High Speed Pipelined DDR SDRAM

Controller Design

Guide : Ch.Ganesh



Research Interest : Low-Power VLSI

Project Description

In this paper Double data rate synchronous dynamic (DDR SDRAM) accessing of memory and controller are designed in such a way that it supports double data transfer rate. To guarantee that the system works as intended, the memory controller is configured such that all the real-time requirements of all sharing applications are satisfied. A fully functional controller is designed to perform Read and Write operations on both rising and falling edge of clock from the memory by using data path module with double data transfer throughput and bandwidth of the memory. The implementation of DDR SDRAM uses direct clocking for data capture. To improve the access speed controller will generate the control signals at high speed and memory also supposes to access the data very easily. The memory has been designed to access the data by using the CAS and RAS signals in an easy way and controller also has been implemented with double data rate. For a single row different column data can be read so that the improvement of 28.57% is achieved in the performance of memory accessing.

Future Expansion of the Project: In future this project can be used to improve the performance of computing systems .

Requirement for the Project: (Modelsim and Quartus II) or (Cadence (NC launch, RTL compiler and Soc encounter))

360

COMPUTATIONAL GEOMETRY ALGORITHMS

2 DATA MINING

APPLICATION OF CONTEXT AWARE CONTENT ANALYSIS IN PUBLIC HEALTH POLICIES DR.N.SANDHYA,

Professor

DEVELOPMENT AND CUSTOMIZATION OF DATA MINING ALGORITHM FOR EDUCATIONAL DOMAIN

3

ARTIFICIAL INTELLIGENCE

INTELLIGENT HEALTHCARE SERVICE BY USING COLLABORATIONS BETWEEN IOT PERSONAL HEALTH DEVICES MRS.

B.V.KIRANMAYEE, Associate Prof.

BIG DATA MACHINE LEARNING WITH BIG DATA AN EFFICIENT ELECTRICITY GENERATION FORECASTING SYSTEM

4

MOBILE APPLICATION

GRAPHICAL SIMULATION OF BASIC DATA STRUCTURES USING MOBILE APPLICATION MRS. V. BABY,

Associate Prof.

DATA MINING CREDIT CARD ANALYSIS THROUGH PRIVACY PRESERVING

5 DATA ANALYTICS(BIG DATA)

A SYSTEM FOR LARGE-SCALE GRAPH PROCESSING MRS. S NAGINI,

Associate Prof.

PARALLEL GREEDY SEMI-CLUSTERING ALGORITHM

6

FINITE AUTOMATA AND LANGUAGES

AUTOMATIC JAVA CODE GENERATOR FOR REGULAR EXPRESSIONS AND FINITE AUTOMATA

MR.M.GANGAPPA, Associate Prof.

DATA MINING FAST NEAREST NEIGHBOR SEARCH WITH KEYWORDS

7 NETWORK SECURITY

CONTROL CLOUD DATA ACCESS PRIVILEGE AND ANONYMITY WITH FULLY ANONYMOUS ATTRIBUTE-BASED ENCRYPTION

MR.P.V.SIVA KUMAR, Associate Prof.

KEY-AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARING IN CLOUD STORAGE

8 DATA MINING

A HYBRID MODEL COMBINING CASE-BASED REASONING AND FUZZY DECISION TREE FOR MEDICAL DATA CLASSIFICATION

MR. T. SUNIL KUMAR, Associate Prof.

MINING RULES FROM AN INCOMPLETE DATASET WITH A HIGH MISSING RATE

9

DATA MINING CLUSTERING LARGE DATA SETS USING KNOWLEDGE BASED CLUSTERING APPROACH MR.SAGAR

YERUVA, Associate Prof.

DISTRIBUTED DATA WAREHOUSES

DISTRIBUTED WAREHOUSE DESIGN- A FRAME WORK MODEL

10 DATA MINING

PERSONALIZED GRADE PREDICTION: A DATA MINING APPROACH MRS.A.MADHAVI,

Asst. Prof.

PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING

361

METHODS WITH AN EDUCATIONAL WEB-BASED SYSTEM

11 DATA MINING LEARNING TO MINE TWITTER ON A

TOPIC MRS.N.V.SAILAJA. Asst. Prof.

MOBILE APPLICATION ANDROID LOCATION ALARM

12 TEXT MINING

A CONCEPT BASED MINING MODEL FOR TEXT CLUSTERING MRS.A.KOUSAR

NIKHATH, Asst. Prof.

OPTIMAL DOCUMENT CLUSTERING USING HAMMING DISTANCE

13 DATA ANALYTICS

A DISTRIBUTED MOBILE CLOUD COMPUTING MODEL FOR SECURE BIG DATA MRS.J.YAMINI

LAKSHMI , Asst. Prof.

INFERENCE PATTERNS FROM BIG DATA USING AGGREGATION, FILTERING AND TAGGING

14 DATA MINING

MINING PROJECTED CLUSTERS IN HIGH DIMENSIONAL SPACE MRS.D.N.VASUN

DHARA, Asst. Prof.

GFILTER A GENERAL GRAM FILTER FOR STRING SIMILARITY SEARCH

15

SOFTWARE ENGINEERING DEFECT TRACKING SYSTEM MRS.R.VASAVI,

Asst. Prof.

DATA ANALYTICS WEB PAGE RANKING USING HADOOP

16 NETWORKING

TIME DELAY ON-DEMAND MULTIPATH ROUTING PROTOCOL IN MOBILE AD-HOC NETWORKS

MRS.R.VIJAYA SARASWATHI, Asst. Prof.

A NOVEL CROSS LAYER INTRUSION DETECTION SYSTEM IN MANET

17

NETWORKING

DEVELOPING A MOBILE EXTENSION APPLICATION: OPTICALLER APPLICATIONAND PROVISIONING SYSTEM MRS.T.L.PRIYAD

ARSINI, Asst. Prof.

MOBILE COMPUTING

EFFICIENT AUTHENTICATION FOR MOBILE AND PERVASIVE COMPUTING MOBILE TV AS A WEB APPLICATION: MOBILE WEB 2.0 – A NEW APPLICATION FRAMEWORK FOR INTERACTIVE MOBILE TV

18 DATA MINING

A NOVEL APPROACH TO CONDUCT THE IMPORTANCE-SATISFACTION ANALYSIS FOR ACQUIRING TYPICAL USER GROUPS IN BUSINESS-INTELLIGENCE SYSTEMS MR.G.S.RAMESH,

Asst. Prof.

BUSINESS INTELLIGENCE DURING TIMES OF CRISIS: ADOPTION AND USAGE OF ERP SYSTEMS BY SMES

19 ANDROID APPLICATIONS WHERE IS MY BUS MRS.P.RADHIKA,

Asst. Prof.

DATA MINING PLAGIARISM DETECTOR (C LANGUAGE)

20 WIRELESS SENSOR NETWORKS

DATA COLLECTION USING MINIATURE AERIAL VEHICLES IN WIRELESS SENSOR NETWORKS

MRS.N.SRAVANI, Asst. Prof.

362

THE METHOD OF LOW POWER CONSUMPTION FOR WIRELESS SENSOR NETWORK

AUTODIETARY: A WEARABLE ACOUSTIC SENSOR SYSTEM FOR FOOD INTAKE RECOGNITION IN DAILY LIFE

21

DATA MINING DATA MINING FOR XML QUERY-ANSWERING SUPPORT MR.T.GNANA

PRAKASH, Asst. Prof.

SERVICE ORIENTED ARCHITECTURE

ADAPTIVE PROVISIONING OF HUMAN EXPERTISE IN SERVICE-ORIENTED SYSTEMS

22 DATA MINING / TEXT MINING

SEMI-AUTOMATIC ONTOLOGY BASED ON FS METHODS MR.A.BRAHMAN

ANDA REDDY, Asst. Prof.

GENERATE CONCEPTUAL MATRIX TO IMPROVE TEXT CLUSTERING USING WORDNET

23 NATURAL LANGUAGE PROCESSING

WORD SENSE DISAMBIGUATION MR.G.NAGARAJU, Asst. Prof.

NAMED ENTITY RECOGNITION

24 NETWORK SECURITY

IMPACT OF FEATURE REDUCTION ON THE EFFICIENCY OF WIRELESS INTRUSION DETECTION SYSTEMS

MR.R.KRANTHI KUMAR, Asst. Prof.

RANDOM-FORESTS-BASED NETWORK INTRUSION DETECTION SYSTEMS

25 CLUSTERING AND IMAGE RETRIEVAL

EFFICIENT CONTENT BASED IMAGE RETRIEVAL SYSTEM WITH METADATA PROCESSING

MR.P.VENKATESWARA RAO, Asst. Prof.

IMAGE RETRIEVAL PROCESS BASED ON RELEVANCE FEEDBACK AND ONTOLOGY USING DECISION TREE

26

BIG DATA

COST-SENSITIVE LINGUISTIC FUZZY RULE BASED CLASSIFICATION SYSTEMS UNDER THE MAP REDUCE FRAMEWORK FOR IMBALANCED BIG DATA MRS.N.ANUSHA,

Asst. Prof.

IMAGE PROCESSING

DISPERSION ASSESSMENT IN THE LOCATION OF FACIAL LANDMARKS ON PHOTOGRAPHS

27 SPEECH PROCESSING

IMPLEMENT FEATURE FUSION FOR SPEECH CORPUS TO ENHANCE THE EFFICIENCY RATE OF EMOTION RECOGNITION

MRS.Y.BHANU SREE, Asst. Prof.

28 IMAGE PROCESSING

RESTORATION OF DECAYED IMAGES DIGITALLY MRS.M.MANASA

DEVI, Asst. Prof.

ASSESSMENT OF DRIVER’S VIGILANCE LEVEL BASED ON EYE STATE AND MOUTH ANALYSIS

29 CLOUD COMPUTING

A SCALABLE AND RELIABLE MATCHING SERVICE FOR CONTENT-BASED MR.N.SANDEEP

CHAITANYA, Asst. Prof.

ENERGY-EFFICIENT FAULT-TOLERANT DATA STORAGE AND PROCESSING IN MOBILE CLOUD

363

30 DATA MINING

MINING ONLINE USERS ACCESS RECORDS FOR WEB BUSINESS INTELLIGENCE MRS.B.SWETHA,

Asst. Prof.

MINING BIOMEDICAL DATA FROM HYPERTEXT DOCUMENTS

31

NETWORK SECURITY AND DATA MINING

ENHANCED PRIVACY AND SURVEILLANCE FOR ONLINE SOCIAL NETWORKS MRS.S.JAHNAVI,

Asst. Prof.

IMAGE PROCESSING

INTEREST POINT DETECTION IN COLOR IMAGES FOR OBJECT RETRIEVAL

32 IMAGE PROCESSING

A UNIFIED APPROACH TO FFT BASED IMAGE REGISTRATION MR.M.RAVI

KANTH Asst. Prof.

RIGID MEDICAL IMAGE REGISTRATION USING PCA NEURAL NETWORK

33 INTERNET OF THINGS

SMART STREET LIGHT MONITORING SYSTEM MRS.N.LAKSHMI

KALYANI, Asst. Prof.

SMART STREET LIGHT MANAGEMENT SYSTEM

34 DATA MINING

MULTI-VIEW POINT SIMILARITY MEASURES IN CLUSTERING METHODS MRS.N.SARIKA,

Asst. Prof.

EFFICIENT FILTERING ALGORITHMS FOR LOCATION-AWARE PUBLISH/SUBSCRIBE

35 CLOUD COMPUTING

EFFECTIVE LOAD BALANCING ALGORITHM IN CLOUD SYSTEMS MR. I.PAVAN

KUMAR, Asst. Prof.

OPTIMAL ALLOCATION OF SERVERS IN CLOUD SYSTEMS

36 DATA MINING

PREDICTING MISSING ITEMS IN SHOPPING CART USING FAST ALGORITHM

MR.P.BHARATH KUMAR CHOWDARY, Asst. Prof.

A FRAMEWORK FOR PERSONAL MOBILE COMMERCE PATTERN MINING AND PREDICTION

37 VIDEO PROCESSING

CONTENT BASED VIDEO RETRIEVAL USING DOMINANT COLOR AND SHAPE FEATURES MRS. P.TEJASWI,

Asst. Prof.

CONTENT BASED VIDEO RETRIEVAL USING DOMINANT COLOR OF TRUNCATED BLOCKS OF FRAME

38 BIG DATA MINING

INPUT SPLIT FREQUENT PATTERN TREE USING MAPREDUCE PARADIGM IN HADOOP MS.

L.GREESHMA, Asst. Prof.

DYNAMIC POWER MANAGEMENT AND DISTRIBUTED RESOURCE SCHEDULING OF MAPREDUCE JOBS FOR BIG DATA APPLICATIONS

39 NETWORKING

CONTINUOUS AND TRANSPARENT USER IDENTITY VERIFICATION FOR SECURE INTERNET SERVICES MRS.

N.SUBHASHINI, Asst. Prof.

USER-DEFINED PRIVACY GRID SYSTEM FOR CONTINUOUS LOCATION BASED SERVICES

364

40 CLOUD COMPUTING

A LOAD BALANCING MODEL BASED ON CLOUD PARTITIONING FOR THE PUBLIC CLOUD MRS. S.SWATHI,

Asst. Prof.

ERROR-TOLERANT RESOURCE ALLOCATION AND PAYMENT MINIMIZATION FOR CLOUD SYSTEM

41

CLOUD COMPUTING

IMPLEMENTING SERVICES ON PRIVATE CLOUD THROUGH ANEKA MR. V.P.HARA

GOPAL, Asst. Prof.

HIGH PERFORMANCE COMPUTING

IMPLEMENTING TSP THROUGH CUDA PROGRAMMING

42 DATA MINING FAST NEAREST NEIGHBOR BROWSING & SEARCH WITH KEYWORDS

MR. P.RAMA KRISHNA, Asst. Prof.

ORGANIZING USER SEARCH HISTORIES

43

WEB APPLICATION

COMMON EMPLOYMENT SYSTEM FOR EMPLOYMENT EXCHANGES USING J2EE AND STRUTS MRS. G.SRUTHI

Asst. Prof.

CRYPTOGRAPHY

ANALYSIS AND SIMULATION OF THREATS IN AN OPEN, DECENTRALIZED, DISTRIBUTED SPAM FILTERING SYSTEM

44

WEB APPLICATION

A WEB-BASED MULTILINGUAL INTELLIGENT TUTOR SYSTEM MRS.PRIYA

BATNAGAR, Asst. Prof.

IMAGE MOSAICING

IMAGE MOSAICING USING SIFT AND GRID BASED MULTIPLE FEATURE

45 NEURAL NETWORKS

SUPPORT VECTOR MACHINES FOR FACE RECOGNITION

MRS. S.RENU DEEPTI, Asst. Prof.

46 INFORMATION SECURITY

DATA HIDING IN ENCRYPTED H.264/AVC VIDEO STREAMS BY CODE WORD SUBSTITUTION

MRS. B.SRI VANI, Asst. Prof.

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# Project 1.1 Project Domain Project Title Guide Qualification Specialization Research Interest

Image Processing Development of Data leakage Detection Using Data Allocation Strategies Dr. G. Ramesh Chandra PhD. Image Processing Image Processing, Data Mining

Description: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place. The distributor must assess the likelihood that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. We propose data allocation strategies (across the agents) that improve the probability of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases, we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party. In previously only one agent is going to leak the data but by using allocation strategies we are going to create multiple agents. this project is possible to show in standalone system, but now we are going to show the result dynamically using MVC architecture. Future Expansion of the Project: Requirement for the Project : Hard ware Specification : • Processor : Intel P-VI based system • Processor Speed : 250 MHz to 833MHz • RAM : 512MB to 1024 MB • Hard Disk : 2GB to 30GB Software Specification: • Software : Visual Studio .Net 2010 • Language : C# .Net • Web Technologies : HTML, Java Script, ASP.NET

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Image Processing Secure Fingerprint Verification based on Image Processing Segmentation using Computational Geometry Algorithms Dr. G. Ramesh Chandra PhD. Image Processing Image Processing, Data Mining

Description: Fingerprint segmentation for secure Internet verification purposes is investigated. The novel application of computational geometry algorithms in the fingerprint segmentation stage showed that the extracted feature (characteristic polygon) may be used as a secure and accurate method for fingerprint-based verification over the Internet. On the other hand the proposed method promisingly allows very small false acceptance and false rejection rates, as it is based on specific segmentation. INTRODUCTION: Biometry, as the science of studying mathematical or statistical properties in physiological and behavioural human characteristics, is widely used in forensic and non-forensic applications in security field such as remote computer access, access control to physical sites, transaction authorization etc. In this paper the problem of fingerprint verification via the Internet is investigated. Specifically, the method that is used for the above purpose is based on a traditional finger scanning technique, involving the analysis of small unique marks of the finger image known as minutiae. Minutiae points are the ridge endings or bifurcations branches of the finger image. The relative position of these minutiae is used for comparison, and according to empirical studies, two individuals will not have eight or more common minutiae. A typical live-scan fingerprint will contain 30-40 minutiae. Other systems analyse tiny sweat pores on the finger that, in the same way as minutiae, are uniquely positioned. Finger scanning is not immune to environmental disturbance. As the image is captured when the finger is touching the scanner device it is possible that dirt, condition of the skin, pressure and alignment or rotation of the finger all affect the quality of the fingerprint. Furthermore, such methods may be subject to attacks by hackers when biometric features are transferred via Internet. Future Expansion of the Project: Requirement for the Project :

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# Project 2.1 Project Domain: DataMining Project Title : Application of Context Aware Content Analysis in Public Health Policies

Guide : Dr.N.Sandhya Qualification : Ph.D Specialization : Data Mining Research Interest: Knowledge Engineering, Data Mining, Databases and Soft Computing DESCRIPTION: Content analysis leading to content-based retrieval represents majority of research done in many fields.By content, it is commonly understood that we refer to substantive information perceived by a user in the data that is represented by a particular file. In technical areas, context started receiving attention in the last decade and has been receiving increasing attention. With recent advances in technology and people’s interpretation of data, it is very evident that Content without Context is outdated. Public health surveillance is the ongoing collection and analysis of data to identify and respond to community health problems in a timely manner. Semantic knowledge may help us to integrate and utilize any data relevant to the public health regardless of source, structure and format and will make it possible to contextualize their use for a variety of different tasks, by developing abstractions and models on top of integrated data. Having explored the data mining techniques you may apply them in this perspective of context in content addressing the public health domain. EXISTING SYSTEM: Surprisingly, people try to analyze content with minimal use of context. It appears that content analysts assume that content must be analyzed independent of the context. The previous research believed that context played least importance and content was considered as the most significant role. Research where semantic knowledge was used is lagging. PROPOSED SYSTEM: The scope of the work is to establish an ontological framework in which public health indicator data can be represented in order to make it semantically searchable. A data warehouse application is proposed that enables the user to access public health data. Based on research and emerging technology from multiple related areas, we adopt a new out-of-the-box perspective to bring revolutionary changes in the current research paradigm. We need to work towards bridging the semantic gap. We all use image, video, and audio search from popular search engines for finding content that we need. The objectives are as follows: • Deriving the right Content related to public health via multiple sensory data, document processing, and image processing systems is going to be the first research goal. • Once content is derived the second phase of the research is going to be focused on how to draw Contextual reference and relation between the content. • And in the final stage of research we will look in to techniques of ingesting Context in to the learning algorithms FUTURE EXPANSION: Researchers trying to bridge the semantic gap often forget that the linguistic description is always contextual, whereas an image may live by itself. The belief to use context is inspired by several researchers. This project is in the domain of public health. The scope may be extended to many other applications. Context reduces the search space drastically with insignificant cost. Thus it is likely to remove a lot of noise while operating in the reduced space.

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# Project 2.2 Project Domain : DataMining Project Title: Development and Customization of Data Mining Algorithm for Educational Domain Guide: Dr.N.Sandhya Qualification : Ph.D Specialization : Data Mining Research Interest: Knowledge Engineering, Data Mining, Databases and Soft Computing DESCRIPTION: The current volume of data is unprecedented and added to this volume is the velocity at which the data is growing. These databases may contain a rich treasure of knowledge which can help an organization to take a strategic decision or initiate a strategic plan of action. There is a need to exploit and understand the raw data collected from educational systems that can be a ‘gold mine’ to help the designers and the users of these systems in improving the organizational performance and taking strategic decisions. Knowledge Discovery from Databases is a broad area that fosters strong connections with statistics, databases, AI, machine learning, pattern recognition, machine discovery, uncertainty modeling, data visualization, high performance computing, optimization, management information systems (MIS), knowledge-based systems and Learning Analytics. Educational Data Mining (EDM) is an emerging discipline that focuses on applying Data Mining algorithms and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. EDM deals with topics such as student retention and attrition, personal recommender systems within education, and how data mining can be used to analyze course management system data. There is a need to develop methods that help in exploring the unique types of data that come from educational settings and using those methods to better understand the students and the setting which they learn in. Since the data is growing in an exponential manner in every field, efficient implementation of data mining algorithms must be developed to help, extract meaningful information from a flood of information. Application of Data Mining algorithms to the educational domain plays a significant role in the aspects detailed below: • Explore factors having an impact on the students academic success • Predict students performance and learning behavior • Student modeling and analyze the coherence of students • Detecting undesirable students behavior • Constructing courseware • Discovering or improving domain models • Studying the effect of educational support There is a need to search through the repository of data from an educational environment in order to make better decisions about the design and trajectory of a learning environment. The stakeholders involved in this task are learners, educators, researchers and administrators. A successful implementation of these algorithms leads to the accomplishment of goal driven learning and will locate useful nuggets of information in the otherwise chaotic data space, and present them to the user in a contextual format. EXISTING SYSTEM: Many companies already designed the conventional algorithms as commercial applications. Still they are not research society friendly. They are highly application oriented. Many of the open

369

source software are incomplete. So development and implementation of these algorithms and customizing it to one particular domain may gain high importance. PROPOSED SYSTEM: Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities – Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need.In education, the emergence of “big data” through new extensive educational media, combined with advances in computation holds promise for improving learning processes in formal education, and beyond as well. At this time there is a realization of the need to analyze and implement the existing algorithms for advancement in the research work. So in the present proposed research extensive studies are planned on the conventional and evolutionary algorithms of Data Mining and to design, develop, implement and customize them for educational domain. FUTURE EXPANSION: This project can be extended for other domains and customize it accordingly.


Artificial intelligence Intelligent Healthcare Service by using Collaborations between IoT Personal Health Devices Mrs. B.V.Kiranmayee. M.Tech (CSE), Pursuing Ph.D. MISTE, MCSI. Computer Science and Engineering. Data Mining, Algorithms and Image processing.

Description: Management of chronic diseases is important to self-management for health. The Internet of Things concept plays a significant role in self-management for health. In order to accomplish it, personal health devices need two functions such as application network protocol and intelligent service. But, most of them have only simple function such as indicating measured data and storing data temporarily. This project proposed an intelligent service model for healthcare which gives an effective feedback to an individual. In order to do this, the collaboration protocol is introduced which transfers risk factors between IoT personal health devices. In addition to this, an intellectualized service application algorithm is proposed which will be operated in the personal health device. Finally, based on the findings of the experiment, the effectiveness will be confirmed on proposed model. Future Expansion of the Project: This project can be extended to any kind of health issues. Requirement for the Project: JAVA. # Project 3.2 Project Domain Project Title Guide Qualification Specialization Research Interest

Big Data Machine Learning with Big Data An Efficient Electricity Generation Forecasting System Mrs. B.V.Kiranmayee. M.Tech (CSE), Pursuing Ph.D. MISTE, MCSI. Computer Science and Engineering. Data Mining, Algorithms and Image processing.

Description: Machine Learning (ML) is a powerful tool that can be used to make predictions on the future nature of data based on the past history. ML algorithms operate by building a model from input examples to make data-driven predictions or decisions for the future. The growing concept “Big Data” has brought much success in the field of data science; it provides data scalability in a variety of ways that empower data science. ML can also be used in conjunction with Big Data to build effective predictive systems or to solve complex data analytic problems. This project propose an electricity generation forecasting system that could predict the amount of power required at a rate close to the electricity consumption for INDIA. The proposed scheme uses Big Data analytics to process the data collected on

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power management in the past 20 years. Then, it applies a ML model to train the system for the prediction stage. The model can forecast future power generation based on the collected data, and the test results show that the proposed system can predict the required power generation close to 99% of the actual usage. The results indicate that the ML with Big Data can be integrated in forecasting techniques to improve the efficiency and solve complex data analytic problems existing in the power management systems. Future Expansion of the Project: Requirement for the Project: R language, Machine learning tools # Project 4.1 Project Domain: Mobile Application Project Title : Graphical simulation of Basic Data structures using Mobile Application Guide : V. Baby Qualification : M. Tech(Ph. D) Specialization : Computer Science and Engineering Research Interests: Privacy Preserving Data Mining Description: This mobile app gives the graphical simulation of different basic data structures like stacks , queues, lists , sorting and searching techniques which gives the better understanding of the concepts and also can be used to measure the efficiencies of each algorithm. Future Expansion: Can be extended to advanced data structures # Project 4.2 Project Domain: Data mining Project Title : Credit card Analysis through Privacy Preserving Guide : V. Baby Qualification : M. Tech(Ph. D) Specialization : Computer Science and Engineering Research Interests: Privacy Preserving Data Mining Description: Credit card usage data can be analyzed to identify the fraud detection or to analyze the individual credit transactions which improves the business transactions of every bank. Future Expansion: Requirement: Java # Project 5.1 Project Domain: Data Analytics(Big Data) Project Title : Pregel: A System for Large-Scale Graph Processing Guide : Mrs. S NAGINI Qualification : M.Tech (CSE), Pursuing Ph.D. MISTE. Specialization : Computer Science and Engineering. Research Interests: Data Mining, Big Data and Algorithms Description:Many practical computing problems concern large graphs. Standard examples include the Web graph and various social networks. The scale of these graphs—in some cases billions of vertices, trillions of edges—poses challenges to their efficient processing. In this paper we present a computational model suitable for this task. Programs are expressed as a sequence of iterations, in each of which a vertex can receive messages sent in the previous iteration, send messages to other vertices, and modify

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its own state and that of its outgoing edges or mutate graph topology. This vertex- centric approach is flexible enough to express a broad set of algorithms. The model has been designed for efficient, scalable and fault-tolerant implementation on clusters of thousands of commodity computers, and its implied synchronic- ity makes reasoning about programs easier. Distribution- related details are hidden behind an abstract API. The result is a framework for processing largegraphs that is expressive and easy to program. Requirement for the Project: Distributed Programming,C++ # Project 5.2 Project Domain: Data Analytics(Big Data) Project Title : Parallel Greedy Semi-Clustering Algorithm Guide : Mrs. S NAGINI Qualification : M.Tech (CSE), Pursuing Ph.D. MISTE. Specialization : Computer Science and Engineering. Research Interests: Data Mining, Big Data and Algorithms Description:Pregel has been used for several different versions of clustering. One version, semi-clustering, arises in social graphs. Vertices in a social graph typically represent people, and edges represent connections between them. Edges may be based on explicit actions (e.g., adding a friend in a social networking site), or may be inferred from people’s behavior (e.g., email conversations or co-publication). Edges may have weights, to represent the interactions’ frequency or strength. A semi-cluster in a social graph is a group of people who interact frequently with each other and less frequently with others. What distinguishes it from ordinary clustering is that a vertex may belong to more than one semi-cluster. Requirement for the Project: PHP 5, HTML5,JavaScript, Microsoft Azure # Project 6.1 Project Domain : Finite Automata and languages Project Title : Automatic Java Code Generator for Regular Expressions and Finite Automata Guide :M.Gangappa Qualification : M.Tech Specialization :Computer Science and Engineering Research Interest : Data Mining, Image Processing, Neural Networks Description: Generalizing the common pattern of implementing Regular Expressions (RE) by converting them into a finite automaton that can be programmed, is the main idea of the Regular Expression Java Code Generator. Writing code that writes code has been introduced in Lisp, but taking this into a higher level by introducing the possibility to execute, and modify the written code is the main aim of this project. A “compiler” for regular expressions is useful to turn the expressions we write into executable code. Programming and resolving problems within automata theory is a complex process, which is time consuming and still the results may not be reliable (because of the great possibility to make mistakes while doing the

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required traversing steps). This project is an introduction of a tool that automatically generates Java Source Code for a given RE or Finite Automata, which significantly reduces complexity and increases productivity in a very short time. This is also a learning process tool, that can be used as a starting point to better understand the automata theory. Regular Expression Code Generator tool provides support for auto generating Java code for programming and executing (deterministic) finite automatons. It takes as input a regular expression and converts it into an equivalent non-deterministic and deterministic finite automaton, then automatically generates Java Source Code with the implementation of the DFA for the given RE. Requirement for the Project : Java 1.7,JFLAP software (open source). # Project 6.2 Project Domain : Data Mining Project Title : Fast Nearest Neighbor Search with Keywords Guide : M.Gangappa Qualification : M.Tech Specialization : Computer Science and Engineering Research Interest : Data Mining, Image Processing, Neural Networks Description: Conventional spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time. Currently the best solution to such queries is based on the IR2-tree, which, as shown in this paper, has a few deficiencies that seriously impact its efficiency. Motivated by this, we develop a new access method called the spatial inverted index that extends the conventional inverted index to cope with multidimensional data, and comes with algorithms that can answer nearest neighbor queries with keywords in real time. As verified by experiments, the proposed techniques outperform the IR2-tree in query response time significantly, often by a factor of orders of magnitude. Requirement for the Project : MatLab 10.2 or higher version # Project 7.1 Project Domain Project Title Guide Qualification Specialization Research Interest

Network Security Control Cloud Data Access Privilege and Anonymity with Fully Anonymous Attribute-Based Encryption Dr. P.V.Siva Kumar PhD Computer Science Computer Networks and security

Description: In a ciphertext policy attribute based encryption system, a user’s private key is associated

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with a set of attributes (describing the user) and an encrypted ciphertext will specify an access policy over attributes. A user will be able to decrypt if and only if his attributes satisfy the cipher text’s policy. In this work, we present the first construction of a ciphertext-policy attribute based encryption scheme having a security proof based on a number theoretic assumption and supporting advanced access structures. Previous CP-ABE systems could either support only very limited access structures or had a proof of security only in the generic group model. Our construction can support access structures which can be represented by a bounded size access tree with threshold gates as its nodes. The bound on the size of the access trees is chosen at the time of the system setup. Our security proof is based on the standard Decisional Bilinear DiffieHellman assumption. Future Expansion of the Project: Can be implemented other encryption mechanisms. Requirement for the Project : Good knowledge of computer networks concepts and JAVA and mySQL. # Project 7.2 Project Domain Project Title Guide Qualification Specialization Research Interest

Network Security Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage Dr. P.V.Siva Kumar PhD Computer Science Computer Networks and security

Description: Data sharing is an important functionality in cloud storage. In this article, we show how to securely, efficiently, and flexibly share data with others in cloud storage. We describe new public-key cryptosystems which produce constant-size cipher-texts such that efficient delegation of decryption rights for any set of cipher-texts are possible. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. In other words, the secret key holder can release a constant-size aggregate key for flexible choices of cipher-text set in cloud storage, but the other encrypted files outside the set remain confidential. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. We provide formal security analysis of our schemes in the standard model. We also describe other application of our schemes. In particular, our schemes give the first public-key patient-controlled encryption for flexible hierarchy, which was yet to be known. Future Expansion of the Project: We can implement more secure key-aggregate cryptosystem for cloud storage.

Requirement for the Project : Good knowledge of Swings & AWT, JavaScript, MySQL and JDBC. # Project 8.1

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Project Domain : Data Mining Project Title : A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification Guide : T. Sunil Kumar Qualification : M.Tech, (Ph.D) Specialization : Computer Science and Engineering Research Interest : Data Mining, Data Analytics and Cloud Computing Description: A hybrid model is developed by integrating a case-based data clustering method and a fuzzy decision tree for medical data classification. Two datasets from UCI Machine Learning Repository, i.e., liver disorders dataset and Breast Cancer Wisconsin (Diagnosis), are employed for benchmark test. Initially a case-based clustering method is applied to pre-process the dataset thus a more homogeneous data within each cluster will be attainted. A fuzzy decision tree is then applied to the data in each cluster and genetic algorithms (GAs) are further applied to construct a decision-making system based on the selected features and diseases identified. Finally, a set of fuzzy decision rules is generated for each cluster. As a result, the FDT model can accurately react to the test data by the inductions derived from the case based fuzzy decision tree. The average forecasting accuracy for breast cancer of CBFDT model is 98.4% and for liver disorders is 81.6%. The accuracy of the hybrid model is the highest among those models compared. The hybrid model can produce accurate but also comprehensible decision rules that could potentially help medical doctors to extract effective conclusions in medical diagnosis. Future Expansion of the Project: Genetic algorithms are applied to evolve the fuzzy terms of each factor in this project. Four important factors are selected in this experimental design. They are Population Size, Number of Generation, Crossover rate and Mutation rate. Tournament Selection is applied for chromosome selection from the mating pools. Two-point crossover strategy and two-point mutation strategy are used during the evolving process. Requirement for the Project : Data Mining, Genetic algorithms # Project 8.2 Project Domain : Data mining Project Title : Mining rules from an incomplete dataset with a high missing rate Guide : T. Sunil Kumar Qualification : M.Tech (Ph.D) Specialization : Computer Science and Engineering Research Interest : Data Mining, Data Analytics and Cloud Computing Description: The problem of recovering missing values from a dataset has become an important research issue in the field of data mining and machine learning. In this project, we introduce an iterative missing-value completion method based on the RAR (Robust Association Rules) support values to extract useful association rules for inferring missing values in an iterative way. It consists of three phases. The first phase uses the association rules to roughly complete the missing values. The second phase iteratively reduces the minimum support to gather more association rules to complete the rest of missing values. The third phase uses the association rules from the completed dataset to correct the missing values that have been filled in. Experimental results show the proposed approaches have good accuracy and data recovery even when the missing-value rate is high. Future Expansion of the Project: In the future, we will further extend this approach to incomplete temporal databases. Requirement for the Project : Data Mining, Machine learning

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# Project 9.1 Project Domain : Data Mining Project Title : Clustering large data sets using Knowledge based clustering approach Guide : Mr.Sagar Yeruva, Associate Professor, CSE Qualification : M.Tech(CSE), (PhD) Specialization : Distribute Systems Research Interest : Distributed Systems and Warehouses Description: This is an approach of clustering large data sets which are distributed in nature. This makes use of various tools and techniques especially Map-Reduce work flow of Hadoop which is suitable for maintenance of large distributed environment. This also contains the preparation towards the distributed data warehouse environment computing methodology. This also uses knowledge based clustering approach for the clustering approach. Future Expansion of the Project: Need to test with various distributed real time systems for its applicability Requirement for the Project : Knowledge of distributed data base systems, clustering, distributed data sets and language like JAVA # Project 9.2 Project Domain : Distributed Data Warehouses for Agricultural data in India Project Title : Distributed Warehouse design- A frame work model Guide : Mr.Sagar Yeruva, Associate Professor, CSE Qualification : M.Tech(CSE), (PhD) Specialization : Distribute Systems Research Interest : Distributed Systems and Warehouses

Description: Data Warehousing is one of the major research topics of applied-side database investigators. Most of the work to date has focused on building large centralized systems that are integrated repositories founded on preexisting systems upon which all corporate-wide data are used. Unfortunately this approach is very expensive and tends to ignore the advantages realized during the past decade in the area of distribution and support for data localization in a geographically dispersed corporate structure. This work investigates building distributed data warehouses with particular emphasis placed on distributed design for the data warehouse environment especially maintaining agricultural data in India. This work makes use of a methodology for distributed data warehouse design with an approach of horizontal fragmentation on huge fact relation in the data warehouse.

Future Expansion of the Project: Development of distributed data warehouse design using a methodology with an approach of vertical fragmentation on huge fact relation in the data warehouse. Requirement for the Project : Knowledge in distributed systems, databases, warehouses and fragmentation methods. Knowledge on any warehouse tool and techniques.

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# Project 10.1 Project Domain : Data Mining Project Title : Personalized Grade Prediction: A Data Mining Approach Guide : A Madhavi Qualification : M Tech Specialization : Computer Science Research Interest : Data Mining Description: To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important problem is to automatically detect students that are going to do poorly in a course early enough to be able to take remedial actions. This paper proposes an algorithm that predicts the final grade of each student in a class. It issues a prediction for each student individually, when the expected accuracy of the prediction is sufficient. The algorithm learns online what is the optimal prediction and time to issue a prediction based on past history of students' performance in a course. We derive demonstrate the performance of our algorithm on a dataset obtained based on the performance of approximately 700 undergraduate students who have taken an introductory digital signal processing over the past 7 years. Using data obtained from a pilot course, our methodology suggests that it is effective to perform early in-class assessments such as quizzes, which result in timely performance prediction for each student, thereby enabling timely interventions by the instructor (at the student or class level) when necessary. Future Expansion of the Project: Software Requirements: # Project 10.2 Project Domain : Data Mining Project Title : Predicting student performance: an application of data mining methods with an educational Web-based system Guide : A Madhavi Qualification : M Tech Specialization : Computer Science Research Interest : Data Mining Description: Newly developed Web-based educational technologies offer researchers unique opportunities to study how students learn and what approaches to learning lead to success. Web-based systems routinely collect vast quantities of data on user patterns, and data mining methods can be applied to these databases. This paper presents an approach to classifying students in order to predict their final grade based on features extracted from logged data in an education Web-based system. We design, implement, and evaluate a series of pattern classifiers and compare their performance on an online course dataset. A combination of multiple classifiers leads to a significant improvement in classification performance. Furthermore, by learning an appropriate weighting of the features used via a genetic algorithm (GA), we further improve prediction accuracy. The GA is demonstrated to successfully improve the accuracy of combined classifier performance, about 10 to 12% when comparing to non-GA

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classifier. This method may be of considerable usefulness in identifying students at risk early, especially in very large classes, and allow the instructor to provide appropriate advising in a timely manner. Future Expansion of the Project: Artificial Intelligence, Machine learning techniques can be used. Software Requirements: Windows XP, ASP.Net with C#, SQL Server 2005 # Project 11.1 Project Domain Data Mining Project Title Learning to mine twitter on a topic Guide N V Sailaja Qualification M.Tech Specialization Software Engineering Research Interest Data Mining Description: This project is an idea to understand big data so that beginners can correlate to the power of data science. With help of twitter and a data science tool, you can find out what the world is saying about a particular topic. Be it reviews about movies, sentiments about elections or any hot topic off the press – you can know what the people are saying by yourself. Performing this not only helps you understand some of the challenges in mining social media (especially, if you are interested in text mining), it also helps you understand how easy it is to integrate an API in your scripts to access the information available on social media. Future Expansion: Language: R Project for statistical computing, Csv files # Project 11.2 Project Domain Data Mining Project Title: Android location Alarm Guide N V Sailaja Qualification M.Tech Specialization Software Engineering Research Interest Data Mining Description: People may have different work at different places. They may forget to keep track of all the work which is associated at different places. So we proposed a system where user will be reminded about his work at certain place where the work is associated with. This system tracks the user location with the help of GPS. System retrieves the user’s current geological coordinates, with the help of this system tracks user’s current location. To use this system, user must register by filling up the details required by the system. User must enter the user id and password in order to login to the system. User must enter the task by specifying the location name and work at particular place. System will provide task id to the user. User can enter multiple tasks. After entering the task details user will get the map in which the task location will be circled and he will get to know the distance between his current location and the task location. Once the user clicks the start option user will get notification as he reaches near to the task location. Notification stops only when the user clicks the finish option in the system and system will not show the completed task. This application also works even when user does some other task in his mobile phone. System will continuously checks the location of the user and gives notification to the user as user

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reaches task location. This system helps the user to set, reset, disable, edit and set duration of the alarms as he wishes. This system also helps to check the task location on the map how far he is from the current location. Future Expansion: Tools and Language: Android studio,Java # Project 12.1 Project Domain Project Title Guide Qualification Specialization Research Interest

Text mining A concept based mining model for text clustering A.Kousar Nikhath M.Tech.(PhD) S.E Text mining, Artificial neural networks.

Description: This approach is used to perform text clustering based on concept based similarity measure assigned for each term of a particular document. While this idea has been proposed to enable efficient text document clustering. . A new similarity measure called concept term frequency (ctf) similarity measure is described based on term analysis model, which provides accurate weigh for a labelled term. The clustering results proposed by concept based similarity measure will have more significant effect on clustering quality due to similarity’s insensitivity to noisy terms that can lead to an incorrect similarity. Future Expansion of the Project: can be enhanced to multiple document input types. Requirement for the Project : Weka tool, Sample Data Set, Java programming # Project 12.2

Project Domain Project Title Guide Qualification Specialization Research Interest

Text mining Optimal document clustering using hamming distance. A.Kousar Nikhath M.Tech.(PhD) S.E Text mining, Artificial neural networks.

Description: The proposed approach involves use of hamming distance similarity measure to perform clustering of given text documents based on weight assigned to each term of a particular document. This measure checks for the similarity between any 2/more terms, and based on this weight factor results in cluster formation. The document term based frequency (tf), inverse document term frequency (idf), weight vector representation are defined for mathematical analysis of document. Future Expansion of the Project: concept based frequency weight might be proposed Requirement for the Project : Java programming, Weka /R predictive analytic tool ,Data set

# Project 13.1

Project Domain: Project Title : Guide : Qualification : Designation : Specialization : Research interest :

Data Analytics A Distributed Mobile Cloud Computing Model for Secure Big Data. J Yamini Lakshmi M.Tech Asst. Professor Computer Science Data Analytics, BigData

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Description: Mobile cloud computing provides a novel e-commerce mode for organizations without any upfront investment. Since cloud computing uses distributed resources in open environment, it is important to provide secure keys to share the data for developing cloud computing applications. To ensure a correctness of users� data in the cloud, we propose an effective and secure distributed model including a Self-Proxy Server (SPS) with self-created algorithm. The model resolves a communication bottleneck due to re-encryption of a shared data in the cloud whenever users are revoked. It offers to reduce security risks and protect their resources because a distributed SPS dynamically interacts with Key Manager (KM) when the mobile users take on cloud services. This paper presents a comprehensive mobile cloud design which provides an effective and secure cloud computing services on mobile devices. Future Expansion of the Project: Can expand into web services Requirement for the Project : c#

# Project 13.2

Project Domain: Project Title : Guide : Qualification : Designation : Specialization : Research interest :

Data Analytics Inference Patterns from Big Data using Aggregation, Filtering and Tagging J Yamini Lakshmi M.Tech Asst. Professor Computer Science BigData, Data Analytics

Description: This project reviews various approaches to infer the patterns from Big Data using aggregation, filtering and tagging. Earlier research shows that data aggregation concerns about gathered data and how efficiently it can be utilized. It is understandable that at the time of data gathering one does not care much about whether the gathered data will be useful or not. Hence, filtering and tagging of the data are the crucial steps in collecting the relevant data to fulfill the need. Therefore the main goal of this paper is to present a detailed and comprehensive survey on different approaches. To make the concept clearer, we have provided a brief introduction of Big Data, how it works, working of two data aggregation tools (namely, flume and sqoop), data processing tools (hive and mahout) and various algorithms that can be useful to understand the topic. It includes comparisons between aggregation tools, processing tools as well as various algorithms through its pre-process, matching time, results and reviews.

Future Expansion of the Project: -- Requirement for the Project : Java

# Project 14.1

Project Domain : Data Mining Project Title - 1 : Mining Projected Clusters in High Dimensional Space Guide : D.N.Vasundhara Qualification : M.Tech

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Specialization : Software Engineering Research Interest : Data Mining and Image Processing Description: Data mining is the process of extracting potentially useful information from a data set. Clustering is a popular data mining technique which is intended to help the user discover and understand the structure or grouping of the data in the set according to a certain similarity measure. Clustering algorithms usually employ a distance metric e.g., Euclidean or a similarity measure in order to partition the database so that the data points in each partition are more similar than points in different partitions. The commonly used Euclidean distance, while computationally simple, requires similar objects to have close values in all dimensions. However, with the high-dimensional data commonly encountered nowadays, the concept of similarity between objects in the full-dimensional space is often invalid and generally not helpful. Feature selection techniques are commonly utilized as a preprocessing stage for clustering, in order to overcome the curse of dimensionality. The most informative dimensions are selected by eliminating irrelevant and redundant ones. Such techniques speed up clustering algorithms and improve their performance. Nevertheless, in some applications, different clusters may exist in different subspaces spanned by different dimensions. In such cases, dimension reduction using a conventional feature selection technique may lead to substantial information loss. Recent theoretical results reveal that data points in a set tend to be more equally spaced as the dimension of the space increases, as long as the components of the data point are independently and identically distributed. Although the condition is rarely satisfied in real applications, it still becomes less meaningful to differentiate data points based on a distance or a similarity measure computed using all the dimensions. These results explain the poor performance of conventional distance-based clustering algorithms on such data sets. These observations motivate our effort to propose a novel projected clustering algorithm, called Projected Clustering based on the K-Means Algorithm (PCKA). PCKA is composed of three phases: attribute relevance analysis, outlier handling, and discovery of projected clusters. Our algorithm is partitioned in nature and able to automatically detect projected.

# Project 14.2

Project Domain : Data Mining Project Title - 1 : GFilter A General Gram Filter for String Similarity Search Guide : D.N.Vasundhara Qualification : M.Tech Specialization : Software Engineering Research Interest : Data Mining and Image Processing Description: Numerous applications such as data integration, protein detection, and article copy detection share a similar core problem: given a string as the query, how to efficiently find all the similar answers from a large scale string collection. Many existing methods adopt a prefix-filter-based framework to solve this problem, and a number of recent works aim to use advanced filters to improve the overall search performance. In this paper we propose a gram-based framework to achieve near maximum filter performance. The main idea is to judiciously choose the high-quality grams as the prefix of query according to their estimated ability to filter candidates. As this selection process is proved to be NP-hard problem, we give a cost model to measure the filter ability of grams and develop efficient heuristic algorithms to find high-quality grams. Extensive experiments on real datasets demonstrate the superiority of the proposed framework in comparison with the state-of-art approaches. Existing System: Existing literatures usually adopt a gram-based filter-and verification framework for string similarity search. After the query string is decomposed into grams, an efficient and critical type of filter can utilize the grams and inverted index (from grams to strings) of the string collection to generate candidates. Other advanced filters can be also used after this elementary type of filter. Then in verification step, the similarity function is evaluated for the surviving candidates to produce the final results. Requirement for the Project :

# Project 15.1

Project Domain Project Title Guide Qualification

Software Engineering Defect tracking system R.Vasavi M.Tech

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Specialization Research Interest

CSE Data anlytics

Description: Defect tracking system project is implemented in java platform. Main aim of this project is to provide a software application for Software Company for updating daily project related issues in to this defect tracking system which works as intranet application. Users can view issues form different locations in company. Using this system project leader will check issues by date and allocate work to his team members. Data is stored in database so whenever old issues arise it is easy to look of the issue details within few minutes. Future Expansion of the Project:. . Requirement for the Project : Java, MatLab

# Project 15.2


Data Analytics Web page ranking using hadoop R.Vasavi M.Tech CSE Image Processing

Description: With a dramatic growth of the world-wide web exceeding 800 million pages, quality of the search results are given importance more than the content of the page. The quality of the page is determined by using web page ranking where the importance of the page depends on the importance of its parent page. For very large sub-graphs of the web, page rank can be computed with limited memory using Hadoop. Future Expansion of the Project:. Requirement for the Project : J2EE

# Project 16.1


Networking Time Delay On-Demand Multipath Routing Protocol in Mobile Ad-hoc Networks Vijaya Saraswathi R M.Tech(Ph.D) Computer Science Engineering Security in wireless sensor networks

Description: Limited resources of nodes in MANETs force the extensive studies for energy-aware multipath routing protocols, which should provide the fault tolerance for broken links and the load balance for extending bandwidth and equalizing energy consumption. This paper proposes a novel energy-aware multipath ad hoc routing protocol to equalize the energy consumption, thus, to extend the network lifetime of each node in MANETs. The proposed Time Delay On-demand Multipath (TIDOM) routing protocol accommodates the time delay function in flooding RREQ packets. The time delay function is inversely proportional to the residual battery capacity of intermediate nodes themselves. This function avoids nodes with poor residual battery capacity, and promotes nodes with good residual battery capacity joining the routes. Simulation results show that TIDOM improves the network lifetime, energy consumption, and additionally packet delivery ratio over the Ad hoc On-demand Multipath Distance Vector (AOMDV). Future Expansion of the Project:. Requirement for the Project : JAVA

# Project 16.2

Project Domain Networking

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Project Title Guide Qualification Specialization Research Interest

A Novel Cross Layer Intrusion Detection System in MANET Vijaya Saraswathi R M.Tech(Ph.D) Computer Science Engineering Security in wireless sensor networks

Description: Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection technology with multi-layer detection. Different types of Denial of Service (DoS) attacks thwart authorized users from gaining access to the networks and we tried to detect as well as alleviate some of those attacks. In this paper, we have proposed a novel cross layer intrusion detection architecture to discover the malicious nodes and different types of DoS attacks by exploiting the information available across different layers of protocol stack in order to improve the accuracy of detection. We have used cooperative anomaly intrusion detection with data mining technique to enhance the proposed architecture. We have implemented fixed width clustering algorithm for efficient detection of the anomalies in the MANET traffic and also generated different types of attacks in the network. The simulation of the proposed architecture is performed in OPNET simulator and we got the result as we expected. Future Expansion of the Project: Requirement for the Project : JAVA

# Project 17.1


Networking Developing a Mobile Extension Application: OptiCaller Application and Provisioning System T.L.Priyadarsini M.Tech Computer Science Computer Networks

Description: Today companies (especially large companies whose employees make a lot of international business trips) often have very large telephone bills. While international roaming technically works with GSM, the cost of phone calls from one country to another are often much higher than calls within a country. Despite political pressure to reduce the costs of roaming within the European Union, the cost of phone calls from one country to another are often quite expensive. A cost-saving solution is eagerly desired by many firms.OptiCall Solutions AB has designed an integrated system called the Dial over Data (DoD) solution. In this scheme, a caller sends a data request to the DoD server instead of directly making a call to the party that they wish to speak with. The DoD solution uses an Internet Protocol Private Branch Exchange (IP-PBX) to make two Session Initiation Protocol (SIP) calls, one to the caller and another to the callee, then bridges these two calls. To realize cost savings, the cost of these two calls and the cost of the infrastructure necessary to make the two calls and to bridge them must be lower than the cost of the direct call.Call Through is a service for making cheap international calls which is provided by many telecommunications companies. Instead of making a direct call to the party the caller wants to speak with, the caller makes a call to the local call-through service access number. The caller dials the actual callee’s number after the call is established. The service provider then makes a call to the callee and bridges the two calls. The caller only needs to pay for a local call and the service subscription fee, rather than the expensive international call fee. This can greatly reduce the costs for user who need to make a lot international calls. Today, many companies use such a call-through service in order to reduce the total cost of their employees’ calls. Additionally, the Mobile Extension (MEX) is a concept which gives mobile users the ability to use their mobile phone in the same manner as their fixed office phone, for example, by providing services such as setting presence and transferring a call. In addition, the user should experience a consistent interface, for example the calling number displayed for the callee should always be a number that the callee could use to return the call.In this thesis project, a mobile extension application called ‘OptiCaller’ based on the Symbian OS was developed and evaluated. This application is part of the DoD solution and provides client side functionality. Furthermore, it supports making call-through calls and using the MEX functions. Additionally,

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it is designed and implemented in a flexible way so that it can work with a variety of different PBX solutions. A provisioning system called ‘OptiCaller Provisioning System’ was also designed and evaluated. This provisioning system was tailored for the ‘OptiCaller’. It provides administrators a platform to manage the OptiCaller application on the end-users’ mobile phones. Future Expansion of the Project:. Requirement for the Project : C++

# Project 17.2


Mobile Computing Efficient Authentication for Mobile and Pervasive Computing Mobile TV as a Web Application: Mobile Web 2.0 – A new application framework for interactive Mobile TV T.L.Priyadarsini M.Tech Computer Science Computer Networks

Description: The existing advanced web browsers in today’s mobile phones open up the door for mobile web applications. By using standard web technologies, a web page can be crafted to mimic the behavior of a normal application. The purpose of this study has been to look at web application development for mobile phones in general and to implement a web-based Mobile TV client to determine whether it would be a viable alternative to existing clients based on other technologies. The advantages are the same as for any other web application: 1) the user avoids the hassle of installing an application and will always run the latest version, 2) developers benefit from the browser’s ability to render generic content, and 3) it is believed that the differences between browser implementations are less than in other environments in which an application would run, for example Java or operating system specific environments. Future Expansion of the Project: Requirement for the Project : J2EE


Data Mining A novel approach to conduct the importance-satisfaction analysis for acquiring typical user groups in business-intelligence systems G S Ramesh M.E., (Ph.D.) Data Minng Data Mining, Network Security

Description: Business intelligence (BI) is a powerful tool to conduct causality analysis and corporate diagnoses since it provides a data-driven approach to link firms' strategic goals into tactical policies and operational actions. Specifically, BI consists of a series of architectures and techniques like database, data warehousing, and data mining that transform raw data into useful information to provide decision supports. In reality, typical BI user groups involve financial analysts, marketing planners, general managers, field staffs, upstream suppliers, and downstream customers. Inspired by the concept of STP (segmentation-targetpositioning) and product family design, BI systems need to be customized to satisfy diverse user groups and tailored to a firm for solving complicated but specific business problems. Consequently, a novel framework is proposed to fulfill the following goals: (1) incorporating user preferences to identify key design features that best fit BI's main segments for achieving customer acquisition, (2) transforming user perceptions into quantitative degrees of satisfaction for accomplishing customer retention, and (3) conducting the importance-satisfaction analysis to generate managerial insights for developing nextgeneration BI systems. Future Expansion of the Project: In future, several directions can be considered and extended: (1) exploring critical success factors in implementing BI systems with consideration of various industries, (2) applying the concept of product family design (arranging the portfolios of design attributes) to help BI vendors enhance customers' purchase intentions, and (3) constructing an intelligent product-service system to find newly

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emerging application areas of BI practices. Requirement for the Project : Knowledge of Data Mining Techniques

# Project 18.2


Data Mining Business Intelligence during times of crisis: Adoption and usage of ERP systems by SMEs G S Ramesh M.E., (Ph.D.) Data Minng Business Intelligence

Project Description: Adoption of Enterprise Resource Planning (ERP) systems is considered to be one of the most important technological and organizational innovation in modem enterprises and SMEs, that promote knowledge diffusion, and sound business decision making processes. Notwithstanding the importance of information and knowledge management, especially during periods of crisis, most small and medium-sized enterprises (SMEs) still underestimate the application and the dynamics of Business Intelligence in their decision-making processes when adopting and implementing ERP systems and their marketing oriented subsystems such as Customer Relationship Management (CRM). In this paper ERP systems adoption and implementation by SMEs in the region of Western Macedonia is examined. Special attention is given to the critical factors affecting adoption of ERPs by SMEs and the business intelligence potential of implementing and using ERP during a period of crisis. The factors identified are related with the economic and organizational characteristics of the SMEs surveyed. Our results indicate that although SMEs recognize the advantages and benefits gained by the application of these systems, especially in managing and summarizing heterogeneous data, still the business intelligence capabilities of ERP systems are underutilized, as managers do not take advantage of the knowledge and experience gained from using them. The paper concludes with proposals for further research on the implementation of ERP systems and the expansion of business intelligence usage by SMEs. Future Expansion of the Project: Further research should focus deeper on the organizational structures of SMEs, facilitating the implementation of ERP systems, as the underutilization of the new capabilities of these systems deprives them from well needed future growth.

Requirement for the Project : Knowledge of Data Mining Techniques # Project 19.1

Project Domain : Android Applications Project Title - 1 : WhereIsMyBus Guide : P.Radhika Qualification : M.Tech Specialization : Computer and Science Engineering Research Interest : E-Learning and SOA Description: WhereIsMyBus uses a combination of GPS-Tracking, GPRS and map rendering technologies to enable public transit citizens to track the position of buses to accuracies of 10s to 100s of meters. All the buses are provided with a smartphone app (held by the bus conductor) which autonomously transmits GPS coordinates at regular intervals to our servers which in turn stores the coordinates in a centralized database and render it into maps as requested by the user.

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HARDWARE REQUIREMENTS: System : Pentium IV 2.4 GHz.,mobile; Hard Disk : 40 GB.;Monitor : 15 inch VGA Colour. Mouse : Logitech Mouse. ;Ram : 512 MB; Keyboard : Standard Keyboard SOFTWARE REQUIREMENTS: Operating System : Windows XP.; Coding Language : Android

# Project 19.2

Project Domain : Data Mining Project Title - 1 : Plagiarism Detector (C language) Guide : P.Radhika Qualification : M.Tech Specialization : Computer and Science Engineering Research Interest : E-Learning and SOA Description:Built a C Programming plagiarism detector based on a self-written tokeniser . A filter removes comments and whitespaces, and the resulting tokens are matched based on direct correspondence, jumbled correspondence and keyword frequencies. HARDWARE REQUIREMENTS: System : Pentium IV 2.4 GHz.,mobile; Hard Disk : 40 GB.;Monitor : 15 inch VGA Colour. Mouse : Logitech Mouse. ;Ram : 512 MB; Keyboard : Standard Keyboard SOFTWARE REQUIREMENTS:

Operating System : Windows XP. ; Coding Language : C # Project 20.1

Project Domain : Wireless Sensor Networks Project Title - 1 : Data collection using miniature aerial vehicles in wireless sensor networks Guide : N. Sravani Qualification : M. E Specialization : Computer Science and Engineering Research Interest: Wireless Sensor Networks, Network Security Abstract— Energy constraints of sensor nodes in wireless sensor networks (WSNs) is a major challenge and minimising the overall data transmitted across a network using data aggregation, distributed source coding, and compressive sensing have been proposed as mechanisms for energy saving. Similarly, use of mobile nodes capable of relocating within the network has been widely explored for energy saving. In this study, the authors propose a novel method for using miniature aerial vehicles for data collection instead of actively sensing from a deployed network. The proposed mechanism is referred as data collection fly (DCFly). It is suitable for data collection from WSNs deployed in harsh-undulating terrain with the base station located far from the sensing region. The DCFly is compared with data collection based on multi-hop data aggregation and data collection with mobile sinks. The numerical results justify that the proposed data collection mechanism is effective and efficient for use in WSNs. Index Terms—Data collection fly, mobile sink, wireless sensor networks. Future Expansion of the Project:. Requirement for the Project : Hardware Requirements:- • Pentium-IV(Processor).

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• 256 MB Ram • 512 KB Cache Memory • Hard disk 20 GB • Microsoft Compatible 101 or more Key Board Software Requirements: - • Operating System : Windows xp • Programming language: .NET • Web-Technology: ASP.NET 2.0 • Front-End: C# • Back-End: SQLSERVER • Web Server: IIS

# Project 20.2

Project Domain : Wireless Sensor Networks Project Title : THE METHOD OF LOW POWER CONSUMPTION FOR WIRELESS SENSOR NETWORK Guide : N. Sravani Qualification : M. E Specialization : Computer Science and Engineering Research Interest : Computer Networks, Mobile Computing Abstract : This paper proposed the method of low power consumption for WSN system. When the RF communication is done each tag node during the WSN systems operating, power consumption is greatest. Therefore, we configure the network with the RF communication module that turn on/off periodically, power consumption less than operating the module all the time without it toggles. Experimental results confirmed that there were no data omissions and the life time can be 12 times longer than existing WSN system. Keywords: WSN, Low power consumption, RF module Toggle, Data omission. Future Expansion of the Project: The future work includes repeating all the experiments using larger networks (e.g., 100 and 200 nodes) to confirm the findings. Another interesting project is to design an intrusion detection mechanism based on the simulation. Requirement of Project: Knowledge of Computer Networks concepts, Knowledge of wireless Adhoc networks, Programming Skills. Hardware Requirements:- • Pentium-IV(Processor). • 256 MB Ram • 512 KB Cache Memory • Hard disk 20 GB • Microsoft Compatible 101 or more Key Board Software Requirements: - • Operating System : Windows xp • Programming language: .NET

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• Web-Technology: ASP.NET 2.0 • Front-End: C# • Back-End: SQLSERVER • Web Server: IIS

# Project 20.3

Project Domain : Wireless Sensor Networks Project Title : AUTODIETARY: A WEARABLE ACOUSTIC SENSOR SYSTEM FOR FOOD INTAKE RECOGNITION IN DAILY LIFE Guide : N. Sravani Qualification : M. E Specialization : Computer Science and Engineering Research Interest : Wireless Sensor Networks, Network Security Abstract : Nutrition-related diseases are nowadays a main threat to human health and pose great challenges to medical care. A crucial step to solve the problems is to monitor the daily food intake of a person precisely and conveniently. For this purpose, we present AutoDietary, a wearable system to monitor and recognize food intakes in daily life. An embedded hardware prototype is developed to collect food intake sensor data, which is highlighted by a high-fidelity microphone worn on the subject's neck to precisely record acoustic signals during eating in a noninvasive manner. The acoustic data are preprocessed and then sent to a smartphone via Bluetooth, where food types are recognized. In particular, we use hidden Markov models to identify chewing or swallowing events, which are then processed to extract their time/frequency-domain and nonlinear features. A lightweight decision-tree-based algorithm is adopted to recognize the type of food. We also developed an application on the smartphone, which aggregates the food intake recognition results in a user-friendly way and provides suggestions on healthier eating, such as better eating habits or nutrition balance. Experiments show that the accuracy of food-type recognition by AutoDietary is 84.9%, and those to classify liquid and solid food intakes are up to 97.6% and 99.7%, respectively. To evaluate real-life user experience, we conducted a survey, which collects rating from 53 participants on wear comfort and functionalities of AutoDietary. Results show that the current design is acceptable to most of the users. Future Expansion of the Project: Requirement of Project: Hardware Requirements:- • Pentium-IV(Processor). • 256 MB Ram • 512 KB Cache Memory • Hard disk 20 GB • Microsoft Compatible 101 or more Key Board

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Software Requirements: - • Operating System : Windows xp • Programming language: .NET • Web-Technology: ASP.NET 2.0 • Front-End: C# • Back-End: SQLSERVER • Web Server: IIS

# Project 21.1


Data Mining Data mining for XML query-answering support T. Gnana Prakash MTech Computer Science Cloud computing, big data

Description: Extracting information from semi structured documents Is a very hard task, and is going to become more and more critical as the amount of digital information available on the internet grows. Indeed, documents are often so large that the dataset returned as answer to a query may be too big to convey interpretable knowledge. In this work we describe an approach based on Tree-based Association Rules (TARs) mined rules, which provide approximate, intentional information on both the structure and the contents of XML documents, and can be stored in XML format as well. This mined knowledge is later used to provide: (i) a concise idea – the gist – of both the structure and the content of the XML document and (ii) quick, approximate answers to queries. In this work we focus on the second feature. A prototype system and experimental results demonstrate the effectiveness of the approach. Future Expansion of the Project: Can be expanded to apply for other types of association rules Requirement for the Project : Microsoft .NET Framework

# Project 21.2


Service Oriented Architecture Adaptive Provisioning Of Human Expertise In Service-Oriented Systems T. Gnana Prakash M. Tech, (Ph.D) Computer Science Data mining, Neural Networks, Mobile Applications, SOA

Project Description: Web-based collaborations have become essential in today’s business environments. Due to the availability of various SOA frameworks, Web services emerged as the de facto technology to realize flexible compositions of services. While most existing work focuses on the discovery and

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composition of software based services, we highlight concepts for a people-centric Web. Knowledge-intensive environments clearly demand for provisioning of human expertise along with sharing of computing resources or business data through software-based services. To address these challenges, we introduce an adaptive approach allowing humans to provide their expertise through services using SOA standards, such as WSDL and SOAP. The seamless integration of humans in the SOA loop triggers numerous social implications, such as evolving expertise and drifting interests of human service providers. Here we propose a framework that is based on interaction monitoring techniques enabling adaptations in SOA-based socio-technical systems. Future Expansion of the Project: Can be expanded to Model a no. of SOA Approaches. Requirement for the Project : ASP.Net with C#,SQL Server 2005

# Project 22.1

Project Domain : Data Mining / Text Mining Project Title - 1 : Semi-Automatic Ontology based on FS Methods Guide : A Brahmananda Reddy Qualification : M.Tech. (Ph.D) Specialization : CSE Research Interest : Data Warehousing and Data Mining, Text Mining, Information Retrieval and Ontology. Description: To explore and utilize the huge amount of text documents is a major question in the areas of information retrieval and text mining. Document clustering is one of the most important text mining methods that are developed to help users effectively navigate, summarize, and organize text documents. Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the corpus. The semantic knowledge in the form of ontology is widely used to facilitate visualization, summarization and maintenance of large document repositories. Therefore, ontology has been acknowledged as an important type of metadata, and many researches focus on ontology building. However, in many cases, the ontology building is still conducted manually, which is time-consuming and labor-intensive. Thus, semiautomatic or fully automatic ontology building becomes very attractive. In Feature Selection for Extracting Semantically Rich Words, it was shown how to extract a set of candidate concept words for domain ontology by using some feature selection techniques. Future Expansion of the Project:. Building of Domain Specific Ontology. Requirement for the Project : Must have Knowledge in Scripting Languages like PERL, Python, Programming Skills, Concepts of DM Vs Text Mining, Information Retrieval and Having idea about DM and TM tools.

# Project 22.2

Project Domain : Data Mining / Text Mining Project Title - 1 : Generate Conceptual Matrix to Improve Text Clustering using WordNet Guide : A Brahmananda Reddy Qualification : M.Tech. (Ph.D) Specialization : CSE

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Research Interest: Data Warehousing and Data Mining, Text Mining, Information Retrieval and Ontology. Description: Text mining is an effective means of acquiring potentially useful knowledge from text documents. One key step in text mining is the document clustering. Document clustering is a method of organizing retrieval results can organize large amounts into a small no. of clusters in order to facilitate users effectively navigate, summarize and organize text documents. In most existing document clustering algorithm documents are represented using the VSM (vector space model) which treats a document as bag of words. A major characteristic of this representation is the high dimensionality of the feature space, which impose a big challenge to the performance of clustering algorithms. They could not work efficiently in high dimensional feature spaces. In this project, aimed to propose a text clustering method based on ontologies which is different from traditional text clustering. To overcome in high dimensionality and complex semantics, constructs a new conceptual vector space model in the pre-processing stage of text clustering, by substituting the lexicon –text matrix/initial matrix in the semantic analysis with concept-text matrix. While analyzing the clusters, it uses the similarity measures. Simply taking into account the frequency of words/phrases in the text and can improve the clustering result performance. Future Expansion of the Project:. Building of Domain Specific Ontology. Requirement for the Project : Must have Knowledge in Scripting Languages like PERL, Python,

Programming Skills, Concepts of DM Vs Text Mining, Information Retrieval and Having idea about DM and TM tools.

# Project 23.1


Natural Language Processing Word Sense Disambiguation G. NAGARAJU B.Tech, M.Tech, (PhD) CSE Natural Language Processing, Machine Learning

Description: In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e. meaning) is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution and coherence. The human brain is quite proficient at word-sense disambiguation. The fact that natural language is formed in a way that requires so much of it is a reflection of that neurologic reality. In other words, human language developed in a way that reflects (and also has helped to shape) the innate ability provided by the brain's neural networks. In computer science and the information technology that it enables, it has been a long-term challenge to develop the ability in computers to do natural language processing and machine learning. To date, a rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date. Current accuracy is difficult to state without a host of caveats. In English, accuracy at the coarse-grained (homograph) level is routinely above 90%, with some methods on particular homographs achieving over 96%. On finer-grained sense distinctions, top accuracies from 59.1% to 69.0% have been reported in recent evaluation exercises, where the baseline accuracy of the simplest possible algorithm of always choosing the most frequent sense was 51.4% and 57%, respectively. Future Expansion of the Project: Requirement for the Project :

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# Project 23.2


Natural Language Processing Named Entity Recognition G. NAGARAJU B.Tech, M.Tech, (PhD) CSE Natural Language Processing, Machine Learning

Description: Named-entity recognition (NER)(also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. Most research on NER systems has been structured as taking an unannotated block of text, such as this one: Jim bought 300 shares of Acme Corp. in 2006. And producing an annotated block of text that highlights the names of entities: [Jim]Person bought 300 shares of [Acme Corp.]Organization in [2006]Time. In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified. Future Expansion of the Project: Requirement for the Project :

# Project 24.1

Project Domain : Network Security Project Title : Impact of Feature Reduction on the Efficiency of Wireless Intrusion Detection systems Guide : R.Kranthi kumar Qualification : M.Tech Specialization : Computer Science and Engineering Research Interest : Intrusion Detection System Description: Intrusion Detection Systems (IDSs) are a major line of defense for protecting network resources from illegal penetrations. A common approach in intrusion detection models, specifically in anomaly detection models, is to use classifiers as detectors. Selecting the best set of features is central to ensuring the performance, speed of learning, accuracy, and reliability of these detectors as well as to remove noise from the set of features used to construct the classifiers. In most current systems, the features used for training and testing the intrusion detection systems consist of basic information related to the TCP/IP header, with no considerable attention to the features associated with lower level protocol frames. The resulting detectors were efficient and accurate in detecting network attacks at the network and transport layers, but unfortunately, not capable of detecting 802.11-specific attacks such as deauthentication attacks or MAC layer DoS attacks. In this project, we propose a novel hybrid model that efficiently selects the optimal set of features in order to detect 802.11-specific intrusions. Our model for feature selection uses the information gain ratio measure as a means to compute the relevance of each feature and the k-means classifier to select the optimal set of MAC layer features that can improve the accuracy of intrusion detection systems while reducing the learning time of their learning algorithm. In the experimental section of this project, we study the impact of the optimization of the feature set for wireless intrusion detection systems on the performance and learning time of different types of classifiers based on neural networks. Experimental results with three types of neural network architectures clearly show that the optimization of a wireless feature set has a significant impact on the efficiency and accuracy of the intrusion detection system. Future Expansion of the Project: This project can still be improved by including more features set. Requirement for the Project : Knowledge of various features, Knowledge of Wire-shark Tool and programming.

# Project 24.2

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Project Domain : Network Security Project Title : Random-Forests-Based Network Intrusion Detection Systems Guide : R.Kranthi kumar Qualification : M.Tech Specialization : Computer Science and Engineering Research Interest : Intrusion Detection Systems Description: Prevention of security breaches completely using the existing security technologies is unrealistic. As a result, intrusion detection is an important component in network security. However, many current intrusion detection systems (IDSs) are rule-based systems, which have limitations to detect novel intrusions. Moreover, encoding rules is time-consuming and highly depends on the knowledge of known intrusions. Therefore, we propose new systematic frameworks that apply a data mining algorithm called random forests in misuse, anomaly, and hybrid-network-based IDSs. In misuse detection, patterns of intrusions are built automatically by the random forests algorithm over training data. After that, intrusions are detected by matching network activities against the patterns. In anomaly detection, novel intrusions are detected by the outlier detection mechanism of the random forests algorithm. After building the patterns of network services by the random forests algorithm, outliers related to the patterns are determined by the outlier detection algorithm. The hybrid detection system improves the detection performance by combining the advantages of the misuse and anomaly detection. We evaluate our approaches over the knowledge discovery and data mining 1999 (KDDpsila99) dataset. The experimental results demonstrate that the performance provided by the proposed misuse approach is better than the best KDDpsila99 result; compared to other reported unsupervised anomaly detection approaches, our anomaly detection approach achieves higher detection rate when the false positive rate is low; and the presented hybrid system can improve the overall performance of the aforementioned IDSs. Future Expansion of the Project: This project can be extended to Live Network Traffic patterns. Requirement for the Project : Knowledge of Patterns, Knowledge of Programming.

# Project 25.1

Project Domain : Clustering and Image Retrieval Project Title : Efficient Content Based Image Retrieval System with Metadata Processing Guide : P. Venkateswara Rao Qualification : M.Tech, (Ph.D.) Specialization :Computer Science Engineering Research Interest : Data Mining, Image Processing, Neural Networks Description: The content based image retrieval (CBIR) is one of the most popular, rising research areas of the digital image processing. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools, images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these systems are not satisfactory. The goal of CBIR is to extract visual content of an image automatically, like color, texture, or shape. This paper aims to introduce the problems and challenges concerned with the design and the creation of CBIR systems, which is based on the accurate image search mechanism. For efficient data management, a system is proposed which generates metadata for image contents. This system is using Content-Based Image Retrieval System (CBIR) based on Mpeg-7 descriptors. First, low-level features are extracted from the query image without metadata and the images with similar low-level features are retrieved from the CBIR system. Metadata of the result images which are similar to the query image are extracted from the metadata database. From the resulting metadata, common keywords are extracted and proposed as the keywords for the query image. The extraction of color features from digital images depends on an understanding of the theory of color and the representation of color in digital images. Color spaces are an important component for relating color to its representation in digital form. The transformations between different color spaces and the quantization of color information are primary determinants of a given feature extraction method. Requirement for the Project: Data Clustering, MATLAB Computer vision Tool.

# Project 25.2

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Project Domain : Clustering and Image Retrieval Project Title : Image Retrieval Process Based on Relevance Feedback and Ontology Using Decision Tree Guide : P. Venkateswara Rao Qualification : M.Tech, (Ph.D) Specialization : Computer Science Engineering Research Interest : Data Mining, Image Processing Description: Writing the SQL Query and updating table is troublesome process need to write so many lines of code. Instead of it, updating table manually and generating SQL Query for the updates. Fetch all the rows from a table and display in a data grid format. User should able to edit and delete the records. Editing should be doing inline editing. When user saves the edited grid, system should save the data in the data base and should generate the update statement. Image database is developed with low level texture features got from Gray Level Co-Occurrence Matrix (GLCM) and measurable techniques for Tamura. Semantic level inquiries from the user mapped to the low level peculiarities at recovery time to recover the required images. Images with more than one moderate features can be recovered by utilizing intersection of images recovered by each of the queried feature. Artificial Neural Network (ANN) is utilized as a part of the following steps in the wake of accepting user inputs. In spite of the fact that semantics are utilized as search key as a part of the beginning steps, low level features are utilized as a part of the ANN based searching in later steps. Back propagation Algorithm is utilized as a part of learning step. This ANN based relevance feedback technique enhances accuracy of immediate feature based image retrieval method. Decision tree (DT) can likewise be connected in relevance feedback stage. Decision tree is framed in training stage and images will be tested by of the decision tree. Relation storing ontology related information is utilized as a part of every phase of retrieval procedure to evacuate ambiguities identified with synonyms and hypernym-homonym sets Requirement for the Project : Data Clustering, MATLAB Computer vision Tool

# Project 26.1


Big Data Cost-sensitive linguistic fuzzy rule based classification systems under the Map Reduce framework for imbalanced big data N.Anusha M.Tech CSE Data mining , Computer Networks

Description: Classification with big data has become one of the latest trends when talking about learning from the available information. The data growth in the last years has rocketed the interest in effectively acquiring knowledge to analyze and predict trends. The variety and veracity that are related to big data introduce a degree of uncertainty that has to be handled in addition to the volume and velocity requirements. This data usually also presents what is known as the problem of classification with imbalanced datasets, a class distribution where the most important concepts to be learned are presented by a negligible number of examples in relation to the number of examples from the other classes. In order to adequately deal with imbalanced big data we propose the Chi-FRBCS-BigDataCS algorithm, a fuzzy rule based classification system that is able to deal with the uncertainly that is introduced in large volumes of data without disregarding the learning in the underrepresented class. The method uses the MapReduce framework to distribute the computational operations of the fuzzy model while it includes cost-sensitive learning techniques in its design to address the imbalance that is present in the data. The good performance of this approach is supported by the experimental analysis that is carried out over twenty-four imbalanced big data cases of study. The results obtained show that the proposal is able to handle these problems obtaining competitive results both in the classification performance of the model and the time needed for the computation. Future Expansion of the Project: Requirement for the Project :

# Project 26.2

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Image Processing Dispersion assessment in the location of facial landmarks on photographs N.Anusha M.Tech CSE Data mining , Computer Networks

Description: The morphological assessment of facial features using photographs has played an important role in forensic anthropology. The analysis of anthropometric landmarks for determining facial dimensions and angles has been considered in diverse forensic areas. Hence, the quantification of the error associated to the location of facial landmarks seems to be necessary when photographs become a key element of the forensic procedure. In this work, we statistically evaluate the inter- and intra-observer dispersions related to the facial landmark identification on photographs. In the inter-observer experiment, a set of 18 facial landmarks was provided to 39 operators. They were requested to mark only those that they could precisely place on 10 photographs with different poses (frontal, oblique, and lateral views). The frequency of landmark location was studied together with their dispersion. Regarding the intra-observer evaluation, three participants identified 13 facial points on five photographs classified in the frontal and oblique views. Each landmark location was repeated five times at intervals of at least 24 h. The frequency results reveal that glabella, nasion, subnasale, labiale superius, and pogonion obtained the highest location frequency in the three image categories. On the contrary, the lowest rate corresponds to labiale inferius and menton. Meanwhile, zygia, gonia, and gnathion were significantly more difficult to locate than other facial landmarks. They produced a significant effect on the dispersion depending on the pose of the image where they were placed, regardless of the type of observer that positioned them. In particular, zygia and gonia presented a statistically greater variation in the three image poses, while the location of gnathion is less precise in oblique view photographs. Hence, our findings suggest that the latter landmarks tend to be highly variable when determining their exact position. Future Expansion of the Project: Requirement for the Project :

# Project 27.1

Project Domain : Speech processing Project Title: Implement Feature fusion for speech corpus to enhance the efficiency rate of emotion recognition Guide : Y. Bhanusree Qualification : M. Tech Specialization : Computer Science Research Interest : Speech Processing Description: Emotions play an extremely important role in human mental life. It is a medium of expression of one’s perspective or his mental state to other Speech emotion Recognition (SER) can be defined as the extraction of the emotional state of the speaker from his or her speech signal. There are few universal emotions- including Neutral, Anger, Surprise, Fear, Happiness, Sadness which any intelligent system with finite computational resources can be trained to identify or synthesize as required . The importance of automatically recognizing emotions in human speech has grown with increasing role of spoken language interfaces in the field of human machine interaction to make the human machine interface more efficient. It can also be used for in-car board system where information of the mental state of the driver maybe provided to initiate his/her safety. In automatic remote call centre, it is used to timely detect customers dissatisfaction. In E-learning field, identifying students emotion timely and making appropriate treatment can enhance the quality of teaching. With individual emotions being considered the efficiency rate is not too high but limits to 75-85%. To enhance this the features extracted should be fusion to enhance recognition rate. Future Expansion: Feature extraction is based on partitioning speech into small intervals known as frames. To select suitable features which are carrying information about emotions from speech signal is an important step in SER system. There are two types of features: prosodic features including energy, pitch, jitter, and rate of speech and spectral features including Linear prediction cepstral coefficients (LPCCs), mel frequency cepstral coefficients (MFCC’s), perceptual linear prediction coefficients (PLPCs). The problem here is to distinguish between the

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voice, unvoiced signals and noise. It is to eliminate the unvoiced and noise signals using existing filters and then extract the required features from the voiced information of speech. Requirement: Processing Unit with MatLab12 or above

# Project 28.1


Image Processing Restoration of decayed images digitally M.Manasa Devi M.Tech Software engineering Image Processing, Machine Learning

Description: Old photographs are subject to decompose due to many limitations like atmospheric disturbance, picture taken very long back, poor device quality. In order to extract the information carried in the image, first old image paper print has to be converted into digital, then image restoration or image processing is necessary. We are aimed at application of image degradation and restoration process techniques to regain the original image. Image processing, image decomposition and restoration for decayed images are the significant challenges. Governments and intelligence agencies are calling to invest major efforts in development of new methods and techniques to detect the faces of the culprits which are decomposed in order to store in the database for future reference. Image restoration is the process of improving the quality of the image and eliminating the degradation parts. It is the recovery of an original image from a given degraded image with or without missing pixels. Degraded image is restored to its original quality by inverting the physical degradation parameters such as linear motion, defocus, and atmospheric degradation. Future Expansion of the Project:. Requirement for the Project : Image processing techniques, MAT Lab Tool /Visual Studio .NET/JAVA

# Project 28.2


Image Processing Assessment of driver’s vigilance level based on eye state and mouth analysis M.Manasa Devi M.Tech Software engineering Image Processing, Machine Learning

Description: Vigilance describes “a state of readiness to detect and respond to certain specified small changes occurring at random time intervals in the environment”. The requirements of the driving task performed on long distance drives very much resembles this definition, because the ability to detect small changes in the environment is a crucial factor in safe driving. Accordingly, states of reduced vigilance, e.g., due to long and monotonous drives, are a main cause of traffic accidents. Driver hypo vigilance, often caused by fatigue and/or drowsiness, receives increasing attention in the last years; especially after it became evident that hypo vigilance is a one of the major factor causing traffic accidents. When people drive while they are tired, drowsy, or sleepy this is referred to as “fatigue”. To make a valid assessment of driver’s vigilance level and provide a timely recommendation for action to be taken before a dangerous situation arises, represents a significant challenge. Monitoring and detecting driver’s vigilance level could contribute significantly to improve road traffic safety. This paper proposes methods to identify drowsiness using respectively sleep and yawning detections. The proposed scheme begins by a face detection using Haar like features. After performing face detection, the novel approach for eye/mouth detection, based on Circular Hough Transform (CHT), is applied on eyes and mouth extracted regions. The system incorporates function

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for drowsiness by monitoring eye state and mouth for consecutive frames. Future Expansion of the Project:. Requirement for the Project : Image Processing Techniques, Visual Studio .NET/JAVA

# Project 29.1


Cloud Computing A Scalable and Reliable Matching Service for Content-Based Publish/Subscribe Systems N Sandeep Chaitanya M.Tech (Ph.D) Computer Science Cloud Computing, Wireless Networks

Description: Characterized by the increasing arrival rate of live content, the emergency applications pose a great challenge: how to disseminate large-scale live content to interested users in a scalable and reliable manner. The publish/subscribe (pub/sub) model is widely used for data dissemination because of its capacity of seamlessly expanding the system to massive size. However, most event matching services of existing pub/sub systems either lead to low matching throughput when matching a large number of skewed subscriptions, or interrupt dissemination when a large number of servers fail. The cloud computing provides great opportunities for the requirements of complex computing and reliable communication. In this paper, we propose SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. To achieve low routing latency and reliable links among servers, we propose a distributed overlay SkipCloud to organize servers of SREM. Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions are mapped into multiple subspaces, which ensures high matching throughput and provides multiple candidate servers for each event. Moreover, a series of dynamics maintenance mechanisms are extensively studied. To evaluate the performance of SREM, 64 servers are deployed and millions of live content items are tested in a Cloud Stack test bed. Under various parameter settings, the experimental results demonstrate that the traffic overhead of routing events in SkipCloud is at least 60 percent smaller than in Chord overlay, the matching rate in SREM is at least 3.7 times and at most 40.4 times larger than the single-dimensional partitioning technique of BlueDove. Besides, SREM enables the event loss rate to drop back to 0 in tens of seconds even if a large number of servers fail simultaneously. Future Expansion of the Project: It can be applicable to Cloud Environments Requirement for the Project : Knowledge on Cloud and J2EE, MYSQL ..

# Project 29.2


Cloud Computing Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud N Sandeep Chaitanya M.Tech (Ph.D) Computer Science Cloud Computing, Wireless Networks

Description: Despite the advances in hardware for hand-held mobile devices, resource-intensive applications (e.g., video and image storage and processing or map-reduce type) still remain off bounds since they require large computation and storage capabilities. Recent research has attempted to address these issues by employing remote servers, such as clouds and peer mobile devices. For mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability and mobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. To the best of our knowledge, we are the first to address these challenges in an integrated manner for both data

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storage and processing in mobile cloud, an approach we call k-out-of-n computing. In our solution, mobile devices successfully retrieve or process data, in the most energy-efficient way, as long as k out of n remote servers are accessible. Through a real system implementation we prove the feasibility of our approach. Extensive simulations demonstrate the fault tolerance and energy efficiency performance of our framework in larger scale networks. Future Expansion of the Project: It can be applicable to Cloud Environments Requirement for the Project : Knowledge on Cloud and J2EE, MYSQL .

# Project 30.1


Data Mining Mining online users access records for web business intelligence B. Swetha M.Tech Computer Science Data Mining and Database Security

Description: Business intelligence on a website could be obtained from users access records instead of web logs of "hits". Users access records are captured by implementing an Access-Control (AC) architectural model on the website. This model requires users to register their profiles in an exchange of a password; and thereafter they have to login before gaining access to certain resources on the website. The links to the resources on the website have been modified such that a record of information about the access would be recorded in the database when clicked. This way, data mining can be performed on a relatively clean set of access records about the users. Hence, a good deal of business intelligence about the users' behaviors, preferences and about the popularities of the resources (products) on the website can be gained. In this paper, we also discussed how the business intelligence acquired, in turn, can be used to provide e-CRM for the users. Future Expansion of the Project:. Can be implemented for all types of users. Requirement for the Project : Good knowledge of Data Mining concepts and JAVA and swing.

# Project 30.2


Data Mining Mining biomedical data from hypertext documents B. Swetha M.Tech Computer Science Data Mining and Database Security

Project Description: Data mining is a process of discovering useful information from a database and analysis of extracted information. Text mining uses many techniques of data mining. It primarily deals with unstructured data. Web mining is an extension of text mining since it deals with unstructured data. Data

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mining relates to find data from “static databases” which contains “structured” data where as, web mining plays with data that are “dynamic” and “unstructured”. In this papers our goal is to mine biomedical data from hypertext documents (e.g., mining data from web contents) using text mining techniques with the help of “biomedical ontology”. Web data repositories are the hypertext documents. Texts in the Hypertext documents are unstructured and they contain Hypertext Markup Language (HTML) tags, scripting languages, images, audios, videos, URLs etc. We collect a number of documents using Google crawler and preprocess the hypertext documents and extract the text data. Next, we identify whether a word is a biomedical entity or not by using a biomedical database the “Unified Medical Language System (UMLS) metathesaurus”. The mapping of biomedical entity from the metathesaurus will be done based on keyword query. Then we apply the result to re-rank the web documents to find most relevant documents. We conclude that the more occurrence of a biomedical entity in a page, the more relevant the page is, and thus, we can re-rank the documents to find the most relevant documents by using text mining technique. Future Expansion of the Project:. Can be implemented by using text mining technique to mine data Requirement for the Project : Good knowledge of Data Mining concepts and Html.

# Project 31.1


Network Security and Data Mining Enhanced Privacy and Surveillance for Online Social Networks Somavarapu Jahnavi B.Tech, M.Tech, Computer Science Network Security, Data Mining, Image Processing

Project Description: An Online Social Network (OSN) is a platform to build social networks or social relations among people. The OSN’s allow users to share interests, activities, social details and professional details. Some of the OSN’s that are currently being used are Facebook, Twitter, Orkut etc. The major problem of social networks is providing privacy to the users. Social privacy, institutional privacy and surveillance are the key problems that are being faced by the OSN users. In this paper, we develop a novel method to provide institutional privacy and surveillance to the OSN users. We introduced a new algorithm HSurveillance, which effectively implements the surveillance in OSN. The institutional privacy is provided to the users using locking mechanism. We believe that the proposed method will resolve the key security and privacy problems experienced by the OSN users. Future Expansion of the Project: Can be implemented for all types of networks. Requirement for the Project : Good knowledge of computer networks, Data Mining concepts and JAVA and HTML

# Project 31.2


Image Processing Interest Point Detection in Color Images For Object Retrieval Somavarapu Jahnavi B.Tech, M.Tech, Computer Science Network Security, Data Mining, Image Processing

Project Description: Detecting interest points in an image plays a vital role in the field of image processing

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and computer vision. Retrieving the image and categorizing objects in an image rely on interest point detection from which descriptors of the image are calculated for image matching. Generally interest points are based on luminance and color has been ignored. To improve the distinctiveness of interest points color is used. The use of color provides selective search and it reduce the total number of interest points used for image matching. Color interest points are proposed for sparse image representation. Color statistics based on occurrence probability lead to color boosted points. Color boosted points can be obtained through saliency based feature selection. For robust scale estimation for interest points, a principle component based scale selection method is used. The proposed interest point detector has higher repeatability than a luminance based one. Furthermore, in image retrieval a reduced number of color features show an increase in performance. Future Expansion of the Project: We extend this result to improve the search on large scale database in less amount of time. Requirement for the Project : Good knowledge of image processing and MATLAB


Image Processing A unified approach to FFT based image registration M.Ravi Kanth M.Tech Computer Science Image Processing

Project Description: We present a new unified approach to FFT based image registration. Prior works divided the registration process into two steps: the first was based on phase correlation (PC) which provides pixel accurate registration, while the second step provides subpixel registration accuracy. By extending the PC method we derive a FFT based image registration algorithm which is able to estimate large translations with subpixel accuracy. The algorithm’s properties resemble those of the Gradient Methods while outperforming them by exhibiting supirior convergence range. Furthermore, the algorithm is robust when registering severely noisy images. Keywords: Sub-pixel registration, phase correlation, image alignment Future Expansion of the Project: It can be applicable to image fusion Requirement for the Project : Good knowledge of image processing concepts and MATLB coding.


Image Processing Rigid medical image registration using PCA neural network M.Ravi Kanth M.Tech Computer Science Image Processing

Project Description: Medical image registration plays an important role in clinical diagnosis and therapy planning. This paper proposes an automatic method to register computed tomography (CT) and magnetic resonance (MR) brain images by using first principal directions of feature images. In this method, principal component analysis (PCA) neural network is used to calculate the first principal directions from feature images, then the registration is accomplished by simply aligning feature images’ first principal directions and centroids. Simulations for MR–MR (MR and MR images) registration and CT–MR (CT and MR images) registration are carried out to illustrate the method Keywords : Image registration; Principal component analysis; Oja’s learning algorithm; Neural network Future Expansion of the Project: It can be applicable to image fusion Requirement for the Project : Good knowledge of image processing concepts and MATLB coding.

# Project 33.1 Project Domain Project Title Guide Qualification

Internet of Things Smart Street Light Monitoring System N.Lakshmi Kalyani M.Tech

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Specialization Research Interest

Computer Science and Engineering Data Mining, Internet of Things

Description: Lighting Automation is a sphere used for remote monitoring and controlling of outdoor as well as indoor lights. Lighting automation system uses to Switch ON/ OFF the lights. In some cases, we use automation to dim the light and for street lights we do not require more brightness during mid night instead it is needed during the night. Lighting automation will provide us with the brightness as per the requirement without any manual intervention. The System is to place FM receiver on a street light for an entire lane, which uses DTMF tones to receive signals and perform the given action. Simultaneously it sends the details of the operated device i.e the device’s location , status and dimness of lights which are received through web services and placed in database. Notifications appear every time the device is operated along with its location and time operated. A Google map is also displayed which gives a visual display of location and status of device. Future Expansion of the Project: Requirement for the Project : Oracle


Internet of Things Smart Street Light Management System N.Lakshmi Kalyani M.Tech Computer Science and Engineering Data Mining, Internet of Things

Description: Lighting Automation is a sphere used for remote monitoring and controlling of outdoor as well as indoor lights. Lighting automation system uses to Switch ON/ OFF the lights. In some cases, we use automation to dim the light and for street lights we do not require more brightness during mid night instead it is needed during the night. Lighting automation will provide us with the brightness as per the requirement without any manual intervention. The system is to place FM receiver on a street light for an entire lane, using DTMF tones we send signals to the receiver which performs the given action. Simultaneously it sends the signals to the database where we can see the details of the lights, the number of hours it is turned on etc. It also provides an interface for the person at server side to view the details of the user. Future Expansion of the Project: Requirement for the Project : Oracle


Data Mining Multi-View point Similarity Measures In Clustering Methods N.Sarika M.Tech, Software Engineering Computer Networks and security, Data Mining.

Description: All clustering methods have to assume some cluster relationship among the data objects that they are applied on. Similarity between a pair of objects can be defined either explicitly or implicitly. In this paper, we introduce a novel multi-viewpoint based similarity measure and two related clustering methods. The major difference between a traditional dissimilarity/similarity measure and ours is that the former uses only a single viewpoint, which is the origin, while the latter utilizes many different viewpoints, which are objects, assumed to not be in the same cluster with the two objects being measured. Using multiple viewpoints, more informative assessment of similarity could be achieved. Theoretical analysis and empirical study are conducted to support this claim. Two criterion functions for document clustering are proposed based on this new measure. We compare them with several well-known clustering algorithms that use other popular similarity measures on various document collections to verify the advantages of our proposal. Future Expansion of the Project: Requirement for the Project :

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Data Mining Efficient Filtering Algorithms for Location-Aware Publish/Subscribe N.Sarika M.Tech, Software Engineering Computer Networks and security, Data Mining.

Description: Location-based services have been widely adopted in many systems. Existing works employ a pull model or user initiated model, where a user issues a query to a server which replies with location-aware answers. To provide users with instant replies, a push model or server-initiated model is becoming an inevitable computing model in the next-generation location-based services. In the push model, subscribers register spatio-textual subscriptions to capture their interests, and publishers post spatio-textual messages. This calls for a high-performance location-aware publish/subscribe system to deliver publishers’ messages to relevant subscribers. In this paper, we address the research challenges that arise in designing a location-aware publish/subscribe system. We propose an R-tree based index by integrating textual descriptions into R-tree nodes. We devise efficient filtering algorithms and effective pruning techniques to achieve high performance. Our method can support both conjunctive queries and ranking queries. We discuss how to support dynamic updates efficiently. Experimental results show our method achieves high performance which can filter 500 messages in a second for 10 million subscriptions on a commodity computer. Future Expansion of the Project: Requirement for the Project : # Project 35.1 Project Domain Project Title Guide Qualification Specialization Research Interest

Cloud Computing Effective Load Balancing Algorithm in cloud systems I.PAVAN KUMAR M. Tech Computer Science Cloud Computing

Description: ”Cloud computing” is a term, which involves virtualization, distributed computing, networking, software and web services. A cloud consists of several elements such as clients, data center and distributed servers. It includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. Central to these issues lies the establishment of an effective load balancing algorithm. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. This technique can be sender initiated, receiver initiated or symmetric type (combination of sender initiated and receiver initiated types).The objective is to develop an effective load balancing algorithm using Divisible load scheduling theorm to maximize or minimize different performance parameters (throughput, latency for example) for the clouds of different sizes (virtual topology depending on the application requirement). Keywords: Cloud Computing, Load balancing Future Expansion of the Project: It can be applicable to cloud systems Requirement for the Project : Knowledge on Cloud ,JAVA.

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Cloud Computing Optimal Allocation of servers in Cloud Systems I. Pavan Kumar M. Tech Computer Science Cloud Computing

Description: In modern world Cloud Computing is one of the most promising and evolving areas of computer science. As time passes by more and more cloud devices are being setup. Similarly more companies and industries are opting for cloud services, etc. Cloud has made up a virtual reality of the practical world. It offers online storage space, online infrastructure, online platforms, etc to make our everyday computing experience easier and cheaper. One of the aspects of cloud computing is provision of servers to execute our programs which comes under Infrastructure as a Service (IaaS).the goal of the project is to develop an algorithm to schedule jobs and allocate servers in cloud systems. The algorithm is efficient as it provides optimal allocation, maximizes the number of job requests that can be processed in unit time while conserving energy and keeping the costs low. The said optimal allocation can be achieved by reducing the idle time of nodes of active servers and reducing the total number of servers used. Future Expansion of the Project: It can be applicable to Cloud systems Requirement for the Project : Knowledge on Cloud and JAVA # Project 36.1 Project Domain Project Title Guide Qualification Specialization Research Interest

Data Mining Predicting missing items in shopping cart using fast algorithm P.Bharath Kumar Chowdary M.Tech Computer Science Big Data, Data Mining

Description: Prediction in shopping cart uses partial information about the contents of a shopping cart for the prediction of what else the customer is likely to buy. In order to reduce the rule mining cost, a fast algorithm generating frequent itemsets without generating candidate itemsets is proposed. The algorithm uses Boolean vector with relational AND operation to discover frequent itemsets and generate the association rule. Association rules are used to identify relationships among a set of items in database. Initially Boolean Matrix is generated by transforming the database into Boolean values. The frequent itemsets are generated from the Boolean matrix. Then association rules are to generated from the already generated frequent itemsets. The association rules generated form the basis for prediction. The incoming itemset i.e the content of incoming shopping cart will also be represented by a Boolean vector and AND operation is performed with each transaction vector to generate the association rules. Finally the rules are combined to get the predictions. Dempster’s rule of combination (DRC) is used to combine the evidences. Finally the predicted items are suggested to the user. Future Expansion of the Project: It can be applicable to Data Mining Environments Requirement for the Project : Knowledge on Data Mining and DOTNET, MYSQL .

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Data Mining A Framework for Personal Mobile Commerce Pattern Mining and Prediction P.Bharath Kumar Chowdary M.Tech Computer Science Big Data, Data Mining

Description: In many applications, including location based services, queries may not be precise. In this paper, we study the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain. Specifically, for a query point Q whose location is uncertain and a set S of points in a multidimensional space, we want to calculate the aggregate (e.g., count, average and sum) over the subset S_ of S such that for each p ∈ S_, Q has at least probability θ within the distance γ to p. We propose novel, efficient techniques to solve the problem following the filtering-and-verification paradigm. In particular, two novel filtering techniques are proposed to effectively and efficiently remove data points from verification. Our comprehensive experiments based on both real and synthetic data demonstrate the efficiency and scalability of our techniques. Future Expansion of the Project: It can be applicable to Data Mining Environments Requirement for the Project : Knowledge on Data Mining and J2EE, MYSQL . # Project 37.1


Video Processing Content Based Video Retrieval using Dominant Color and Shape features Tejaswi Potluri M. Tech(Ph.D) Computer Science Image and Video Processing

Description: Content Based Video Retrieval (CBVR) is an approach for retrieving similar videos from the database. Need for efficient techniques of retrieval are increasing day by day. This paper used both color and shape features to retrieve the similar videos. In our system, we identified Key Frames of the video shots in the first step. We found the most dominant color of each key frame and also edge points of each key frame and stored in the feature database. The color and shape features of query video are calculated and compared with the features stored in the feature database. Videos falling within the threshold are retrieved as most similar videos. The combination of two features results in high performance of our system. Requirement: H/W System Configuration:- Processor - Pentium –III Speed - 1.1 Ghz RAM - 512 MB(min) Hard Disk - 20 GB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGA S/W System Configuration:- Operating System :Windows XP/7 Tool : Matlab15

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# Project 37.2


Video Processing Content Based Video Retrieval using Dominant Color of truncated blocks of Frame Tejaswi Potluri M. Tech(Ph.D) Computer Science Image and Video Processing

Description: We describe a system for content-based video retrieval for a large set of geographical data set consisting different categories of data like animals, birds, flowers, etc. The system retrieves similar videos using most dominant color of the non-overlapping truncated blocks of the key frame from a video. To reduce the complexity, the system converts each block of a key frame into combination of only twenty colors by using color look-up table. We can find out the most dominant color of each block by using same color-lookup table. Simple and efficient Euclidean distance metric is used to find out the most similar videos that match to our query video. The approach is reliable and flexible by consisting videos of different lengths in the dataset. Requirement: H/W System Configuration:- Processor - Pentium –III Speed - 1.1 Ghz RAM - 512 MB(min) Hard Disk - 20 GB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGA S/W System Configuration:- Operating System :Windows XP/7 Tool : Matlab12


Big Data Mining Input Split Frequent Pattern Tree using MapReduce Paradigm in Hadoop Greeshma L M. Tech(Ph.D) Computer Science Big Data, Data Mining, Bioinformatics

Description: Big data has been attracted in information industry and in the society in the recent years, due to the wide availability of huge amount of data in the Internet and the complexity of data is growing every day. Hence distributed data mining algorithms has decided to exploit big data adaptable to current technology. Since there exist some limitations in traditional algorithm for dealing with the massive volume of data set which degrades the performance. So, thereby we require fast and efficient scalable frequent item sets for storing and processing large data sets. Existing algorithm like apriori algorithm performs a multiple scans from external storage, which leads to heavy burden for I/O devices. In this paper, we proposed Association Rule Mining based on Hadoop Distributed File System for storing huge amount of data and implemented using MapReduce object oriented programming paradigm for processing of a data. Requirement: H/W System Configuration:- Processor - Intel –III Speed - 2.5 Ghz RAM - 2 GB(min) Hard Disk - 20 GB

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Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGA S/W System Configuration:- Operating System :Windows 8/Mac Framework : Hadoop

# Project 38.2


Big Data Dynamic Power Management and Distributed Resource Scheduling of MapReduce Jobs for Big Data Applications Greeshma L M. Tech (Ph.D) Computer Science and Engineering Data Minig, Big Data

Description: The majority of large-scale enterprise business applications executes on a set of commodity hardware by applying the MapReduce model or by Hadoop implementation. Big Data applications require a massive volume of data, and more power required for a large number of clusters. One of the major challenging issues is to reduce power consumption among data nodes for large-scale data processing. In this paper, we first abstracted problem as an integer function of distributed resource scheduling MapReduce job. We then proposed two algorithms called Dynamic power management MapReduce Distributed Scheduling algorithm (DMRD-S and DMRD-L) that optimizes the power consumption on a set of commodity hardware during low utilization of scheduling resources each may vary on the impact of their workload characteristics and understanding resource pool in the distributed resource scheduler cluster. The experimental results performed on some of the benchmarking and testing tools included in the Apache Hadoop distribution, namely Enhanced DFSIO, Nutch Indexing, k-mean Clustering and Hive Join. We compared the performance of DMRD-S and DMRD-L produced an optimal solution. Requirement: H/W System Configuration:- Processor - Intel Speed - 2.5 Ghz RAM - 2 GB(min) Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGA S/W System Configuration:- Operating System :Windows 8/Mac Framework : Hadoop

# Project 39.1


Networking Continuous and Transparent User Identity Verification for Secure Internet Services N . Subhashini MTech CSE Networking ,Big data

Description: Session management in distributed Internet services is traditionally based on username and password, explicit logouts and mechanisms of user session expiration using classic timeouts. Emerging biometric solutions allow substituting username and password with biometric data during session establishment, but in such an approach still a single verification is deemed sufficient, and the identity of a user is considered immutable during the entire session. Additionally, the length of the session timeout may impact on the usability of the service and consequent client satisfaction. This paper explores promising alternatives offered by applying biometrics in the management of sessions. A secure protocol is defined for

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perpetual authentication through continuous user verification. The protocol determines adaptive timeouts based on the quality, frequency and type of biometric data transparently acquired from the user. The functional behavior of the protocol is illustrated through Matlab simulations, while model-based quantitative analysis is carried out to assess the ability of the protocol to contrast security attacks exercised by different kinds of attackers. Finally, the current prototype for PCs and Android smartphones is discussed. Requirement for the Project : JAVA

# Project 39.2


Networking User-Defined Privacy Grid System for Continuous Location Based Services N . Subhashini MTech CSE Networking , Big data

Description: Location-based services (LBS) require users to continuously report their location to a potentially untrusted server to obtain services based on their location, which can expose them to privacy risks. Unfortunately, existing privacy-preserving techniques for LBS have several limitations, such as requiring a fully-trusted third party, offering limited privacy guarantees and incurring high communication overhead. In this paper, we propose a user-defined privacy grid system called dynamic grid system (DGS); the first holistic system that fulfills four essential requirements for privacy-preserving snapshot and continuous LBS. (1) The system only requires a semi-trusted third party, responsible for carrying out simple matching operations correctly. This semi-trusted third party does not have any information about a user’s location. (2) Secure snapshot and continuous location privacy is guaranteed under our defined adversary models. (3) The communication cost for the user does not depend on the user’s desired privacy level, it only depends on the number of relevant points of interest in the vicinity of the user. (4) Although we only focus on range and k-nearest-neighbor queries in this work, our system can be easily extended to support other spatial queries without changing the algorithms run by the semi-trusted third party and the database server, provided the required search area of a spatial query can be abstracted into spatial regions. Experimental results show that our DGS is more efficient than the state-of-the-art privacy-preserving technique for continuous LBS. Requirement for the Project : JAVA

# Project 40.1


Cloud Computing A Load Balancing Model Based on Cloud Partitioning For the Public Cloud S.Swathi MTech (Ph.D) CSE Cloud Computing

Description: Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies the game theory to the load balancing strategy to improve the efficiency in the public cloud environment. Existing System: Cloud computing is efficient and scalable but maintaining the stability of processing so many jobs in the

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cloud computing environment is a very complex problem with load balancing receiving much attention for researchers. Since the job arrival pattern is not predictable and the capacities of each node in the cloud differ, for load balancing problem, workload control is crucial to improve system performance and maintain stability. Load balancing schemes depending on whether the system dynamics are important can be either static and dynamic. Static schemes do not use the system information and are less complex while dynamic schemes will bring additional costs for the system but can change as the system status changes. Requirement for the Project :

# Project 40.2


Cloud Computing Error-Tolerant Resource Allocation and Payment Minimization for Cloud System S. Swathi M.Tech (Ph.D.) CSE Cloud Computing

Description: With virtual machine (VM) technology being increasingly mature, compute resources in cloud systems can be partitioned in fine granularity and allocated on demand. We make three contributions in this paper: 1) We formulate a deadline-driven resource allocation problem based on the cloud environment facilitated with VM resource isolation technology, and also propose a novel solution with polynomial time, which could minimize users’ payment in terms of their expected deadlines. 2) By analyzing the upper bound of task execution length based on the possibly inaccurate workload prediction, we further propose an error-tolerant method to guarantee task’s completion within its deadline. 3) We validate its effectiveness over a real VM-facilitated cluster environment under different levels of competition. In our experiment, by tuning algorithmic input deadline based on our derived bound, task execution length can always be limited within its deadline in the sufficient-supply situation; the mean execution length still keeps 70 percent as high as user specified deadline under the severe competition. KEYWORDS: VM multiplexing, resource allocation, convex optimization, prediction error tolerance, payment minimization. Requirement for the Project :

# Project 41.1


Cloud Computing Implementing Services on Private Cloud through Aneka V P Hara Gopal M.Tech CSE SOA, Cloud Computing, Data Analytics, HPC

Description: Aneka is a Cloud Application Development Platform (CAP) for developing and deploying Cloud applications on top of it. As a platform It provides a runtime environment and a set of APIs that

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allow developers to build .NET applications that measures their computation on either public or private clouds. One of the key features of Aneka is the ability of supporting multiple programming models that are ways of expressing the execution logic of applications by using specific abstractions. This is accomplished by creating customizable and extensible service oriented runtime environment represented by a collection of software containers connected together. This architecture advanced services including resource reservation, persistence, storage management, security, and performance monitoring have been implemented. Requirement for the Project: Multicore Processor System, Private Cloud Architecture, Aneka Software

# Project 41.2


High Performance Computing Implementing TSP through CUDA Programming V P Hara Gopal M.Tech CSE SOA, Cloud Computing, Data Analytics, HPC

Description: Mass-market computing systems that combine multi-core CPUs and many-core GPUs have brought terascale computing to the laptop and petascale computing to clusters. Armed with such computing power, we are at the dawn of pervasive use of computational experiments for science, engineering, health and business disciplines. Many will be able to achieve breakthroughs in their disciplines using computational experiments that are of unprecedented level of scale, controllability, and observability. Computing is evolving from "central processing" on the CPU to "co-processing" on the CPU and GPU. To enable this new computing paradigm, NVIDIA invented the CUDA parallel computing architecture. When it comes to "High performance computing", performance is a key factor to be dealt with. Taking it as a motivation, this project is to work on a TRAVELLING SALESMAN PROBLEM to define its scope of parallelism. The traveling salesman problem is a permutation problem in which the goal is to find the shortest path between N different cities that the salesman takes is called the TOUR. TSP is an application of graph theory. In terms of graph theory, given a list of cities and their pair-wise distance, the task is to find a shortest possible tour (Hamiltonian Cycle) that visits every city exactly once. Even though TSP is easy to understand, it is very difficult to solve. Researchers have proven that Traveling Salesman Problem is NP-complete. This project involves a study of TSP, an analysis of solution method of TSP, a discussion of other applications of TSP, an implementation of TSP using PARALLEL PROGRAMMING. One of the main objectives of this project is to use CUDA-C to implement some solution methods of TSP. Requirement for the Project : NVIDIA GPU System, CUDA-C

# Project 42.1


Data Mining FAST NEAREST NEIGHBOR BROWSING & SEARCH WITH KEYWORDS P.Ramakrishna M.Tech Computer Science Big Data, Data Mining

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Description: Conventional abstraction queries, like vary search and nearest neighbor retrieval, involve solely conditions on objects’ geometric properties. Today, several trendy applications involve novel kinds of queries that aim to seek out objects satisfying each a abstraction predicate, and a predicate on their associated texts. as an example, rather than considering all the restaurants, a nearest neighbor question would instead elicit the eating house that's the highest among those whose menus contain “steak, spaghetti, brandy” all at an equivalent time. Presently the most effective resolution to such queries is predicated on the IR2-tree, which, as shown during this paper, features a few deficiencies that seriously impact its potency. Impelled by this, we tend to develop a replacement access methodology known as the abstraction inverted index that extends the standard inverted index to address flat knowledge, and comes with algorithms that may answer nearest neighbor queries with keywords in real time. As verified by experiments, the projected techniques outgo the IR2-tree in question latent period considerably, typically by an element of orders of magnitude. Future Expansion of the Project: It can be applicable to Data Mining Environments Requirement for the Project : Knowledge on Data Mining and J2EE, MYSQL

# Project 42.2


Data Mining Organizing User Search Histories P.Ramakrishna M.Tech Computer Science Big Data, Data Mining

Description: Users are increasingly pursuing complex task-oriented goals on the Web, such as making travel arrangements, managing finances or planning purchases. To this end, they usually break down the tasks into a few co-dependent steps and issue multiple queries around these steps repeatedly over long periods of time. To better support users in their long-term information quests on the Web, search engines keep track of their queries and clicks while searching online. In this paper, we study the problem of organizing a user’s historical queries into groups in a dynamic and automated fashion. Automatically identifying query groups is helpful for a number of different search engine components and applications, such as query suggestions, result ranking, query alterations, sessionization, and collaborative search. In our approach, we go beyond approaches that rely on textual similarity or time thresholds, and we propose a more robust approach that leverages search query logs. We experimentally study the performance of different techniques, and showcase their potential, especially when combined together. Future Expansion of the Project: It can be applicable to Data Mining Environments Requirement for the Project : Knowledge on Data Mining and J2EE, MYSQL .

# Project 43.1


Web Application Common Employment System for Employment Exchanges using J2EE and Struts G.Sruthi M.Tech Computer Science and Engineering Web technologies,Computer network and security

Description: The project has been developed to fulfill the requirements of the Employment Exchanges. The current product is a part of overall web-based employment portal. The product will take care of job seeker, employer and employment exchange perspective for submission activity. Subsequently, the following points were identified as the broad features required in the software to be developed for

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Employment Exchange Computerization at National Level with a facility to meet the additional/local requirements of the respective States. Registration, Vacancy Booking & Submission Employment Statistics Employment Market Information Vocational Guidance and Career Counseling for Self Employment The EMI (Employment Market Information) module is responsible for providing the necessary functionality to generate Employment Market Information using ER-1 & ER-2 Returns. The module should assist Manpower shortage planners and Employment Officers in finding out kind of manpower required. Work done in this project includes management of EMI Unit, EMI Unit Contact, EMI Office, EMI Office Contact, EMI Unit Type, EMI Return, and Return Periodicity. The work done on the module is adhering to sound software engineering principles. Future Expansion of the Project: Requirement for the Project : Web Technology, J2EE, Struts.

# Project 43.2


Cryptography Analysis and Simulation of Threats in an Open, Decentralized, Distributed Spam Filtering System G.Sruthi M.Tech Computer Science and Engineering Computer network and Security

Description: The existence of spam email has gone from a fairly small amounts of a few hundred in the late 1970’s to several billions per day in 2010. This continually growing problem is of great concern to both businesses and users alike. One attempt to combat this problem comes with a spam filtering tool called TRAP. The primary design goal of TRAP is to enable tracking of the reputation of mail senders in a decentralized and distributed fashion. In order for the tool to be useful, it is important that it does not have any security issues that will let a spammer bypass the protocol or gain a reputation that it should not have. As a piece of this puzzle, this thesis makes an analysis of TRAP’s protocol and design in order to find threats and vulnerably capable of bypassing the protocol safeguards. Based on these threats we also evaluate possible mitigations both by analysis and simulation. We have found that although the protocol was not designed with regards to certain attacks on the system itself most of the attacks can be fairly easily stopped. The analysis shows that by adding cryptographic defenses to the protocol a lot of the threats would be mitigated. In those cases where cryptography would not suffice it is generally down to sane design choices in the implementation as well as not always trusting that a node is being truthful and following protocol. Future Expansion of the Project: Requirement for the Project : J2EE,NS2 Simulator.

# Project 44.1

Project Domain Web Application

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A Web-based Multilingual Intelligent Tutor System Priya Bhatnagar M.Tech Computer Science and Engineering Web technologies, Image Processing

Description: Nowadays, Intelligent Tutoring Systems (ITSs) are so regarded in order to improve education quality via new technologies in this area. One of the problems is that the language of ITSs is different from the learner’s. It forces the learners to learn the system language. This paper tries to remove this necessity by using an Automatic Translator Component in system structure like Google Translate API. This system carry out a pre-test and post-test by using Expert System and Jackson Model before and after of training a concept. It constantly updates learner model to save all changes in learning process. So this paper offers an E-Learning system which is web-based, intelligent, adaptive, multilingual and remotely accessible where tutors and learners can have non-identical language. It is also applicable Every Time and Every Where (ETEW). Furthermore, it trains the concepts in the best method with any language and low cost. Future Expansion of the Project: Requirement for the Project : Web Technology.

# Project 44.2


Image Mosaicing Image Mosaicing using SIFT and Grid Based Multiple Feature Priya Bhatnagar M.Tech Computer Science and Engineering Web Technologies, Image Processing

Description: Image mosaicing has been practiced in several computer vision and scientific research areas and the fields of photogrammetry, computer vision, image processing, and computer graphics. Applications include the construction of aerial and satellite photographs, photo editing and the creation of virtual environments There is a clear indication of the advancement of the state of the art of mosaicing algorithms. However, the methods of quantitative evaluation of mosaicing algorithms are still inadequate. Mosaicing could be regarded as a special case of scene reconstruction where the images are related by planar homography only. Image mosaicing has been collecting widespread attention because it can automatically construct a panoramic image from multiple images.Grid based multiple features (GBMF) is used to assess the performance of the mosaicing algorithms. Firstly image is divided into grid or matrix form. This method involves five steps. It includes feature extraction with geometrical portions of image, object oriented features, texture features, homographic features and SIFT feature extraction methods. Later, image features are matched and redrawn where a verifier algorithm checks the various features registration. Then Image stitching is performed using STITCHER algorithm based on RANSAC(RANdom SAmple Consensus algorithm), Such a Panoramic image is more accurate and less complex in comparison to previous algorithm. Future Expansion of the Project: Requirement for the Project : Image Mosaicing, MATLAB Computer vision Tool.

# Project 45.1

Project Domain Neural Networks

412


Support Vector Machines for Face recognition S.RenuDeepti M.Tech Computer Science and Engineering Data Mining, Neural Networks, Software engineering

Description: Neural networks have been applied extensively in computer vision and pattern recognition. Support vector machines have been recently proposed as new kinds of feed-forward networks for pattern recognition .Intutively , given a set of points belonging to two classes , a SVM finds the hyperplane that separates the largest possible fraction of points of the same class on the same side , while maximizing the distance from either class to hyperplane. This hyperplane is called optimal separating hyperplane which minimizes the risk of misclassifying not only the examples in training set , but also the unseen examples of the test set .The SVM is essentially developed to solve two class problem.The application of SVMs to computer vision problem have been proposed recently . SVM is trained for face detection where the discrimination is between two classes : face and nonface , each with thousand of examples . It is difficult to discriminate or recognize different persons by there faces because of similarity of the faces . In this project , we focus on the face recognition problem , and show that the discrimination function learned by SVMs can give much higher recognition than the poular standard eigenface approach or other approach . After the features are extracted, the discrimination functions between each pair are learned by SVMs . Then the disjoint test set enters the system for recognition. We will construct a binary tree structure to recognize the testing samples .We will develop a multi-class recognition strategy for the use of conventional bipartite SVMs to solve the face recognition problem. Future Expansion of the Project: It can be applicable to Data Mining Environments Requirement for the Project : Knowledge on Data Mining and J2EE, MYSQL .

# Project 46.1


Information Security Data Hiding in Encrypted H.264/AVC Video Streams by Code word Substitution B.Srivani M.Tech Computer Science and Engineering Data Mining, Natural Language Processing

Description: Digital video sometimes needs to be stored and processed in an encrypted format to maintain security and privacy. For the purpose of content notation and/or tampering detection, it is necessary to perform data hiding in these encrypted videos. In this way, data hiding in encrypted domain without decryption preserves the confidentiality of the content. In addition, it is more efficient without decryption followed bydata hiding and re-encryption. In this paper, a novel scheme of data hiding directly in the encrypted version of H.264/AVC video stream is proposed, which includes the following three parts, i.e., H.264/AVC video encryption, data embedding, and data extraction. By analyzing the property of H.264/AVC codec, the codewords of intraprediction modes, the codewords of motion vector differences, and the codewords of residual coefficients are encrypted with stream ciphers. Then, a data hider may embed additional data in the encrypted domain by using codeword substitution technique, without knowing the original video content. In order to adapt to different application scenarios, data extraction can be done either in the encrypted domain or in the decrypted domain. Furthermore, video file size is strictly preserved even after encryption and data embedding. Experimental results have demonstrated the feasibility and efficiency of the proposed scheme. Future Expansion of the Project: Requirement for the Project : Data hiding, encrypted domain, H.264/AVC, codeword substituting.

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DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Project

No.

CONTENTS

Project Domain Project Title Faculty /

Designation

Page

No.

1. Biomedical

Image Processing

Reconstruction of Optical

Coherence Tomography Images

via Sparse

R. Manjula Sri

Assoc. Professor &

Head

2. Retinal artery-vein classification

3.

Bio-Medical

Image Processing

3D Medical Image Segmentation

Using an FPGA Embedded

Design K. Sudha Rani

Assoc. Professor

4. Deblurring Algorithms for Out-of-

focus Infrared Images

5. Discrimination of adulteration

cow milk

6.

Biomedical

Image Processing

Detection of Lung Cancer Using

Marker-Controlled Watershed

Transform

M. Harikrishna

Assoc. Professor

7.

Decomposition & Reconstruction

of Medical Images in MATLAB

using different Wavelet

Parameters

8.

Automatic Diabetic Retinopathy

Detection Using Gabor Filter with

Local Entropy Thresholding

9. Digital Signal

Processing

Design of a novel biomedical

signal processing and analysis tool

for functional neuroimaging

K. Anitha

Assoc. Professor

414

10.

Effective pre-processing of long

term noisy audio recordings: An

aid to clinical monitoring

11.

Online detector of movement

intention based on EEG—

Application in tremor patients

12.

Signal Processing

New Algorithm for Multi Channel

EEG signal Analysis using Mutual

Information Nageshwar V.

Assoc. Professor

13.

Seizure Detection In EEG Using

Time Frequency Analysis and

SVM

14.

Bio-Medical

Image Processing

Contrast Driven Elastica for

Image Segmentation

D.V. Shobhana

Priscilla

Sr. Asst. Professor

15.

Fast and Provably Accurate

Bilateral Filtering for Bio Medical

Images

16. Text-Attentional Convolutional

Neural Network for Scene Text

17.

Digital Signal

Processing

Estimation of Frequency and

Fundamental Power Components

Using an Unscented Kalman

Filter

C. V. Rambabu

Sr. Asst. Professor

18.

Fault detection for non-linear

system with unknown input and

state constraints

19.

A Derivative-Free Kalman

Filtering Approach to State

Estimation-Based Control of

Nonlinear Systems

20. Internet of Things Display of Underground Cable

Fault Distance Through IoT A. Pavani Lakshmi

Asst. Professor

415

21. Smart Parking System Through

IoT

22.

Control Systems

Data acquisition and control using

Arduino-Android : Smart plug

Suresh Kumar Ch

Asst. Professor

23.

Design And Performance Analysis

Of Automated Two

Axis Solar Tracking System For

Steam Generation

24.

Bio-Medical

Image Processing

An efficient intelligent analysis

system for confocal corneal

endothelium images K. Vijay Chandra

Asst. Professor

25.

Machine Intelligence for Confocal

Microscope to detect corneal

Diseases

26.

Data Acquisition

and Control

Design of Fractional Order PID

Controller Using PSO Technique A. Adithya Kashyap

Asst. Professor

27.

PID Controller design for

Unstable processes with time

delay

28.

Embedded

Systems

Automatic Irrigation System on

Sensing Soil Moisture Content S. Vandana

Asst. Professor

29.

Solar Tracker Module with

Automated Module Cleaning

System

30. Optical character

Recognisation

Recognizing Text-Based Traffic

Signs

G. Vamsi Krishna

Asst. Professor

31. Signal Processing

& synthesis

An Intelligent Adaptive Filter for

Elimination of Power Line

Interference from High Resolution

Electrocardiogram

32. Process Control A Data-Driven Approach to

Control of Batch Processes With

Bharati. Sagi

Asst. Professor

416

an Application to a Gravimetric

Blender

33.

Image

Processing,

Audio Synthesis

Facial emotion detection

considering partial occlusion of

face using Bayesian network

34.

Internet of Things

Internet of Things (IoT) Guided

Waste Collection Container For

Content Estimation

And Collection Optimisation H. Renuka

Asst. Professor

35.

Non Invasive Glycaemia

Monitoring And Assist Using

Internet of Things

36. Embedded

systems

Networking of Multiple

Microcontrollers

Jyothirmai Joshi

Asst. Professor

37.

LabVIEW

Online temperature control based

on Virtual Instrumentation

D. Srilaxmi

Asst. Professor

38. Fuzzy based automatic multi-level

vehicle parking using lab view

39. Control Systems Control using Sliding mode of two

phase stepper motor

417

Mrs. R. Manjula Sri

Project Domain : Biomedical Image Processing

Project Title – 1 : Reconstruction of Optical Coherence Tomography Images via Sparse

Representation

Guide : R.Manjulasri


Specialization : Biomedical Engineering

Research Interests: Biomedical Instrumentation and Embedded systems


This project presents a novel technique, based on compressive sensing principles, for

reconstruction and enhancement of multi-dimensional image data. This method is a major

improvement and generalization of the multi-scale sparsity based tomographic denoising

(MSBTD) algorithm recently introduced for reducing speckle noise. The new technique

exhibits several advantages over MSBTD, including its capability to simultaneously reduce

noise and interpolate missing data. Unlike MSBTD, this new method does not require an a

priori high-quality image from the target imaging subject and thus offers the potential to

shorten clinical imaging sessions. This novel image restoration method, which is termed

sparsity based simultaneous denoising and interpolation (SBSDI), utilizes sparse

representation dictionaries constructed from previously collected datasets. The test images

are retinal spectral domain optical coherence tomography images captured in the clinic.

Additional requirement(equipment/software): MATLAB or Lab VIEW and OCT Images

Approx. cost: -


Project Title – 2 : Retinal artery-vein classification

Guide : R.Manjulasri



Research Interests: Biomedical Instrumentation and Embedded systems


This work presents a novel, graph-theoretic framework for distinguishing arteries from veins

in a fundus image. The underlying vessel topology is used to better classify small and

418

midsized vessels. previously proposed tree topology estimation framework is extended by

incorporating expert, domain-specific features to construct a simple, yet powerful global

likelihood model. This model is efficiently maximized by iteratively exploring the space of

possible solutions consistent with the projected vessels .This method is a potentially

important tool for diagnosing diseases with retinal vascular manifestation.

Additional requirement(equipment/software): MATLAB or Lab VIEW and Retinal Images

Approx. cost: -

419

Mrs. K. Sudha Rani

Project Domain : Bio-Medical Image Processing

Project Title – 1 : 3D Medical Image Segmentation Using an FPGA Embedded Design

Implementation

Guide : K.SudhaRani


Specialization : Bio-Medical Image Processing

Research Interests : Image Processing,Virtual Instrumentation

This project presents a Field Programmable Gate Array (FPGA) based embedded system

which is used to achieve high speed segmentation of 3D images. Segmentation is performed

using Expectation-Maximization with Maximization of Posterior Marginals (EM/MPM)

Bayesian algorithm. In this system, the embedded processor controls a custom circuit which

performs the MPM and portions of the EM algorithm.

The embedded processor completes the EM algorithm and also controls image data

transmission between host computer and on-board memory. The whole system has been

implemented on Xilinx Virtex 6 FPGA and achieved over 100 times improvement compared

to standard desktop computing hardware.

Additional requirement(equipment/software): Xilinx Virtex 6 FPGA

Approx. cost: -


Project Title – 1 : Deblurring Algorithms for Out-of-focus Infrared Images

Guide : K.SudhaRani




An image that has been subject to the out-of-focus phenomenon has reduced sharpness,

contrast and level of detail depending on the amount of defocus. To restore out-of-focused

images is a complex task due to the information loss that occurs. However there exist many

restoration algorithms that attempt to revert this defocus by estimating a noise model and

utilizing the point spread function.

420

The purpose of this thesis, proposed by FLIR Systems, was to find a robust algorithm that can

restore focus and from the customer’s perspective be user friendly. The thesis includes three

implemented algorithms that have been com-pared to MATLABs built-in. Three image series

were used to evaluate the limits and performance of each algorithm, based on deblurring

quality, implementation complexity, computation time and usability.

Results show that the Alternating Direction Method for total variation de-convolution

proposed by Tao et al. together with its the modified discrete cosines transform version

restores the defocused images with the highest quality. These two algorithms include features

such as, fast computational time, few parameters to tune and a powerful noise reduction.

Additional requirement(equipment/software): MATLAB

Approx. cost: -


Project Title – 1 : Discrimination of adulteration cow milk

Guide : K.SudhaRani




Raw cow milk may be adulterated water and pseudo proteins such as melamine either

intentionally or accidentally for getting more profit. This study prepared a series of

adulteration milk samples by adding different amounts of aqueous solutions of dextrin (or

starch) containing pseudo proteins (melamine, urea, or ammonium nitrate) to raw cow milks,

which were collected from pastures surrounding Shanghai in 2011. Improved v-support

vector machines (v-SVM) method was applied to build classification models for

discriminating adulteration milks based on near infrared (NIR) spectra of different sample

sets. Uniform design table was used to find good value of parameters of v and σ. Results

show that the adulteration milks in which content of the adulteration solutions equals or

exceeds 5% can be well identified by improved v-SVM combining NIR spectroscopy with

high validation correct ratio (VCR), which positively correlates to the content of the

adulteration solutions. Water amount added to raw milks is the key fact influencing

classification results of the NIR classification models. However, it is difficult to judge type of

421

pseudo proteins added to milks by NIR spectroscopy. Chromatography or kit method aiming

to particular prohibited substances such as melamine could be selected to further detect which

kind of pseudo proteins is added to milk if necessary.

Additional requirement(equipment/software): Lab view

422

Mr. M. Harikrishna


Project Title – 1 : Detection of Lung Cancer Using Marker-Controlled Watershed Transform

Guide : M. Harikrishna



Research Interests: Biomedical Instrumentation and Control Systems


The major cause of cancer death is lung cancer. Detection of cancer in the early phase can

provide more treatment options, less invasive surgery and increases the survival rate. For

lung cancer, if the disease is detected in time, the survival rate of patient increases from 14 to

49% in recent 5 years. It is the most dangerous and widespread disease in the world. The

cancer cells present in lung causes lung cancer disease. This cells detection is very important

issue for medical researchers. The chances of an effective treatment will significantly

increases with early detection. The Computed Tomography (CT) images are used which are

more efficient than X-ray. MATLAB is widely used software for the study of lung cancer

detection from CT scan images. The process includes image pre-processing, image

segmentation, feature extraction and classification technique. This project work proposes a

method to detect the cancerous cells effectively from the lung CT scan images. It will

minimize the detection error made by the physicians’ naked eye.

Additional requirement(equipment/software): MATLAB and CT Scan Images

Approx. cost: -

Project Domain: Biomedical Image Processing

Project Title – 2: Decomposition & Reconstruction of Medical Images in MATLAB using

different Wavelet Parameters






Fusion of Medical images derives useful information from medical images containing the

data which has important clinical significance for doctors during their analysis. The idea

423

behind the concept of image fusion is to improve the image content by fusing two images like

MRI(Magnetic resonance imaging) & CT (Computer tomography) images to provide useful

& precise information for doctor for their clinical treatment. In this project Discrete Wavelet

Transforms (DWT)method has been used to fuse two medical images to decompose the

functional & anatomical images. The fused image contains both functional information and

more spatial characteristics with no color distortion. In the proposed work different fusion

experiments will be performed on Medical images by using seven wavelet transform methods

- Bior, coif, db, dmey, haar, rbio and sym. Finally, want to compare between all fused images

using the measuring parameters like Entropy & Standard Deviation and find out which

wavelet transform gives the best fusion performance.

Additional requirement(equipment/software): MRI and CT Images, MATLAB

Approx. cost: -

Project Domain: Biomedical Image Processing

Project Title – 3: Automatic Diabetic Retinopathy Detection Using Gabor Filter with Local

Entropy Thresholding






Diabetic retinopathy (DR) is a complication of diabetes and a leading cause of vision loss.

DR detection, poor quality retinal image makes more difficult the analysis for

ophthalmologist. Automatic segmentation of blood vessels in retina is helpful for

ophthalmologists to screen larger populations. This project proposes a new automatic analysis

to extract blood vessels with high accuracy. The proposed algorithm

comprises of Gabor filter with local entropy thresholding for vessels extraction under various

normal or abnormal conditions. The frequency and orientation of Gabor filter are tuned to

match that of a part of blood vessels to be enhanced in a green channel image. Extraction of

blood vessels pixels are classified by local entropy thresholding technique in this project. The

performance of the proposed algorithm is analysed by MATLAB software with DRIVE

database.

Additional requirement(equipment/software): MATLAB, Retinal Images

424

Approx. cost: -

Mrs. Anita Kulkarni

Project Title: Design of a novel biomedical signal processing and analysis tool for functional

neuroimaging

Name of the Faculty: K. Anitha

Area: Digital Signal Processing

Abstract: In this paper, a MATLAB-based graphical user interface (GUI) software tool for

general biomedical signal processing and analysis of functional neuroimaging data is

introduced. Specifically, electroencephalography (EEG) and electrocardiography (ECG)

signals can be processed and analyzed by the developed tool, which incorporates commonly

used temporal and frequency analysis methods. In addition to common methods, the tool also

provides non-linear chaos analysis with Lyapunov exponents and entropies; multivariate

analysis with principal and independent component analyses; and pattern classification with

discriminant analysis. This tool can also be utilized for training in biomedical engineering

education. This easy-to-use and easy-to-learn, intuitive tool is described in detail in this

paper.

Cost: Rs.20,000/-

Project Title: Effective pre-processing of long term noisy audio recordings: An aid to clinical

monitoring

Name of the Faculty: K. Anitha


Abstract: Nowadays, great attention is devoted to minimizing the discomfort caused by

connection of patients to sensors for long-term monitoring of physiological parameters.

Hence, the need for contact-less monitoring systems is increasingly recognized in clinical

investigation. To this aim, audio signals recorded by ambient microphones are an appealing

and increasing field of research: in the biomedical field, application of contact-less audio

recording of long duration may concern obstructive apnoea syndrome, preterm newborns in

Intensive Care Units, daily monitoring in occupational dysphonia, speech therapy, Parkinson

and Alzheimer disease, monitoring of psychiatric and autistic subjects, etc. However, a

significant amount of ambient noise is inevitably included in the records.

425

Especially in the case of recordings that take a long time, manual extraction of clinically

useful information from a whole record is a time-consuming operator-dependent task, the

length of a whole recording (even several hours) being prohibitive both for perceptual

analysis made by listening to it and for visual inspection of signal patterns. Moreover,

objective measures of signal characteristics may serve clinicians as a common ground for

diagnosis. Hence, automatic methods are needed to speed up and objectify the analysis task.

The present work describes a new, automatic, fast and reliable method for extracting “voiced

candidates” from audio recordings of long duration for both clinical and home applications.

Cost: Rs.20,000/-

Project Title: Online detector of movement intention based on EEG—Application in tremor

patients

Name of the Faculty: K.Anitha


Abstract: Patients with tremor can benefit from wearable robots managing their tremor during

daily living. To achieve this, the interfaces controlling such robotic systems must be able to

estimate the user's intention to move and to distinguish it from the undesired tremor. In this

context, analysis of electroencephalographic activity is of special interest, since it provides

information on the planning and execution of voluntary movements. This paper proposes an

adaptive and asynchronous EEG-based system for online detection of the intention to move

in patients with tremor. An experimental protocol with separated self-paced wrist extensions

was used to test the ability of the system to detect the intervals preceding voluntary

movements. Six healthy subjects and four essential tremor patients took part in the

experiments. The system predicted 60 ± 10% of the movements with the control subjects and

42 ± 27% of the movements with the patients. The ratio of false detections was low in both

cases (1.5 ± 0.1 and 1.4 ± 0.5 false activations per minute with the controls and patients,

respectively). The prediction period with which the movements were detected was higher

than in previous similar studies (1.06 ± 1.02 s for the controls and 1.01 ± 0.99 s with the

patients). Additionally, an adaptive and fixed design were compared, and it was the adaptive

design that had a higher number of movement detections. The system is expected to lead to

further development of more natural interfaces between the assistive devices and the patients

wearing them.

426

Cost: Rs.20,000/-

427

Mr. Nageshwar. V.


Project Title – 1 : A New Algorithm for Multi Channel EEG signal Analysis using Mutual

Information

Guide : NAGESHWAR V.


Specialization : Electronics and Instrumentation

Research Interests : Bio-Medical Signal Processing


Additional requirement(equipment/software): -

Approx. cost:


Project Title – 1 : Seizure Detection In EEG Using Time Frequency Analysis and SVM

Guide : NAGESHWAR V.



Research Interests : Bio-Medical Signal Processing

428

Project Description: Many brain disorders are diagnosed by analysing the EEG signals. EEG refers

to the recording of the brain's spontaneous electrical activity over a short period of time. An efficient

approach for detecting the presence of epileptic seizures in EEG signals is presented. Epilepsy is a

disease due to temporary alternation in brain functions due to abnormal electrical activity of a group

of brain cells and is termed as seizure. The analysis is performed in three stages. In the first step the

Discrete wavelet transform is used for decompose the EEG signal into delta, theta, alpha, beta and

gamma subbands. In the second step the statistical features are extracted from each subband and

finally classification of the EEG signal that is epileptic seizure exists or not has been done using

support vector machine. This method is applied for two different groups of EEG signals: 1) healthy

(Normal) EEG dataset; 2) epileptic dataset during a seizure interval. The experimental

results show that the proposed method efficiently detects the presence of epileptic seizure in EEG

signals and also showed a reasonable accuracy in detection.


Approx. cost:

429

Mrs. D.V.SHOBHANA PRISCILLA


Project Title – 1 : Contrast Driven Elastica for Image Segmentation

Guide : D.V.SHOBHANA PRISCILLA

Qualification : M.E


Research Interests : Image Processing, Neural Networks

Minimization of boundary curvature is a classic regularization technique for image

segmentation in the presence of noisy image data. Techniques for minimizing curvature have

historically been derived from gradient descent methods which could be trapped by a local

minimum and, therefore, required a good initialization. Recently, combinatorial optimization

techniques have overcome this barrier by providing solutions that can achieve a global

optimum. However, curvature regularization methods can fail when the true object has high

curvature. In these circumstances, existing methods depend on a data term to overcome the

high curvature of the object. Unfortunately, the data term may be ambiguous in some images,

which causes these methods also to fail. To overcome these problems, we propose a contrast

driven elastica model (including curvature), which can accommodate high curvature objects

and an ambiguous data model. We demonstrate that we can accurately segment extremely

challenging synthetic and real images with ambiguous data discrimination, poor boundary

contrast, and sharp corners. We provide a quantitative evaluation of our segmentation

approach when applied to a standard image segmentation data set.


Approx. cost: -


Project Title – 1 : Fast and Provably Accurate Bilateral Filtering for Bio Medical Images


Qualification : M.E



The bilateral filter is a non-linear filter that uses a range filter along with a spatial filter to

perform edge-preserving smoothing of images. A direct computation of the bilateral filter

430

requires o(s) operations per pixel, where s is the size of the support of the spatial filter. In this

paper, we present a fast and provably accurate algorithm for approximating the bilateral filter

when the range kernel is Gaussian. In particular, for box and Gaussian spatial filters, the

proposed algorithm can cut down the complexity to o(1)per pixel for any arbitrary s. The

algorithm has a simple implementation involving N+1spatial filterings, where N is the

approximation order. We give a detailed analysis of the filtering accuracy that can be

achieved by the proposed approximation in relation to the target bilateral filter. This allows

us to estimate the order N required to obtain a given accuracy. We also present

comprehensive numerical results to demonstrate that the proposed algorithm is competitive

with the state-of-the-art methods in terms of speed and accuracy.


Approx. cost: -


Project Title – 1 : Text-Attentional Convolutional Neural Network for Scene Text

Detection


Qualification : M.E



Recent deep learning models have demonstrated strong capabilities for classifying text and

non-text components in natural images. They extract a high-level feature globally computed

from a whole image component (patch), where the cluttered background information may

dominate true text features in the deep representation. This leads to less discriminative power

and poorer robustness. In this paper, we present a new system for scene text detection by

proposing a novel text-attentional convolutional neural network (Text-CNN) that particularly

focuses on extracting text-related regions and features from the image components. We

develop a new learning mechanism to train the Text-CNN with multi-level and rich

supervised information, including text region mask, character label, and binary text/non-text

information. The rich supervision information enables the Text-CNN with a strong capability

for discriminating ambiguous texts, and also increases its robustness against complicated

background components. The training process is formulated as a multi-task learning problem,

431

where low-level supervised information greatly facilitates the main task of text/non-text

classification. In addition, a powerful low-level detector called contrast-enhancement

maximally stable extremal regions (MSERs) is developed, which extends the widely used

MSERs by enhancing intensity contrast between text patterns and background. This allows it

to detect highly challenging text patterns, resulting in a higher recall. Our approach achieved

promising results on the ICDAR 2013 data set, with an F-measure of 0.82, substantially

improving the state-of-the-art results.


Approx. cost: -

432

Mr. C. V. Rambabu

Project Domain : Digital Signal Processing

Project Title – 1 : Estimation of Frequency and Fundamental Power Components Using an

Unscented Kalman Filter

Guide : C. V. RAMBABU



Research Interests : Signal and Image Processing, Control Systems and Embedded Systems


A new method for the simultaneous estimation of power components and frequency can be

implemented and is based on the application of the unscented Kalman filter (UKF), which is an

estimator capable of estimating the unknown model parameters during severe dynamic changes

in the system. A particular advantage of using the UKF is the straightforward estimation

procedure, which does not require linearization of the nonlinear signal model. This is an

important feature as it improves the accuracy of the method during network transients. The

nonlinear state-space parameter model for instantaneous power, taking into account the

fundamental components of the system voltages and currents, can be used as a starting point for

the estimation of the power components and frequency. In the instantaneous power parameter

model, the system frequency is considered to be an unknown model parameter, and it can be

estimated simultaneously with the other unknown model parameters: active and apparent power

and the power angle. This results in an efficient numerical algorithm for the estimation of power

components, which is not sensitive to variations of system frequency. The new estimator can be

tested / verified through computer simulations and by using available data records under

laboratory conditions.

Additional requirement(equipment/software): MATLAB and LabVIEW

Approx. cost: -

Project Domain : Digital Signal Processing

Project Title – 2 : Fault detection for non-linear system with unknown input and state

constraints




433



Fault detection (FD) for linear discrete-time systems with unknown input to non-linear systems

can be analyzed extensively. Moreover, based on physical consideration, the constraints of state

are considered. A non-linear recursive filter is developed where the constrained state and the

input are interconnected. Constraints which can improve the quality of estimation can be

imposed on individual updated sigma points as well as the updated state. The advantage of

algorithm is that it is able to incorporate arbitrary constraints on the states during the estimation

procedure. Unknown input which can be any signal can be obtained by least-squares unbiased

estimation and the state estimation problem can be transformed into a standard unscented

Kalman filter problem. By testing the mean of the innovation process, a real-time FD approach

can be proposed.

Additional requirement(equipment/software): LabVIEW

Approx. cost: -

Domain : Digital Signal Processing

Project Title – 3 : A Derivative-Free Kalman Filtering Approach to State Estimation-Based

Control of Nonlinear Systems






For nonlinear systems, subject to Gaussian noise, the extended Kalman filter (EKF) is frequently

applied for estimating the system’s state vector from output measurements. The EFK is based on

linearization of the systems’ dynamics using a first -order Taylor expansion. Although EKF is

efficient in several problems, it is characterized by cumulative errors due to the gradient-based

linearization it performs, and this may affect the accuracy of the state estimation or even risk the

stability of the state estimation based control loop. To overcome the flaws of EKF, it has been

proposed to use the unscented Kalman filter (UKF) as a method for nonlinear state estimation,

which does not introduce linearization errors. Aiming also at finding more efficient

implementations of nonlinear Kalman filtering, this paper introduces a derivative -free Kalman

434

filtering approach, which is suitable for state estimation based control of a class of nonlinear

systems. The considered systems are first subject to a linearization transformation, and next state

estimation is performed by applying the standard Kalman filter to the linearized model. Unlike

EKF, the proposed method provides estimates of the state vector of the nonlinear system without

the need for derivatives and Jacobians calculation and without using linearization

approximations. The proposed derivative-free Kalman filtering approach has been compared to

EKF and UKF in the case of state estimation-based control for a nonlinear DC motor model.

Additional requirement(equipment/software): MATLAB and LabVIEW

Approx. cost: -

435

A. Pavani Lakshmi

Project Domain : Internet of Things

Project Title – 1 : Display of Underground Cable Fault Distance Through IoT

Guide : A.PAVANI LAKSHMI


Specialization : Electronic Instrumentation

Research Interests : Bio Sensors and IoT

Project Description: The main intention of this project is to find the underground cable fault

distance (in kilometers) from the base station and also to display the same over the internet. In

general, if a fault occurs due any reason in the underground cable system then, it is very difficult

to identify the location of the fault to repair it. This project consists of various blocks such as a

power supply block, microcontroller block, relays, LCD display, and GSM module. Thus, this

proposed IOT application can be used to detect the exact location of the fault and also for sending

the data to a particular website in graphical format along with displaying over an LCD display

using GSM module.


Approx. cost: 7500/-


Project Title – 1 : Smart Parking System Through IoT

Guide : A.PAVANI LAKSHMI


Specialization : Electronic Instrumentation

Research Interests : Bio Sensors and IoT

Project Description:Ultrasonic sensors work on a principle of interpreting echoes from radio or

sound waves, which are used to determine an objects characteristics. Moreover, ultrasonic

sensors generate high frequency sound waves, which are radiated in a given medium and then

evaluated by the echo of the signal received back by the sensor. Lastly the sensors are widely

used to calculate the time interval between the sending and receiving of a signal, which can be

used to determine the distance to an object.

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“Systems typically use a transducer which generates sound waves in the ultrasonic range, above

20,000 hertz, by turning electrical energy into sound, then upon receiving the echo turn the sound

waves into electrical energy which can be measured and displayed.A possible advancement is to

add an interface to the microcontroller so it can display the number of cars that have parked in the

spot in real time.


Approx. cost: 7500/-

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Mr. Suresh Kumar Chiluka

Project Domain : Control Systems

Project Title – 1 : Data acquisition and control using Arduino-Android : Smart plug

Guide :


Specialization : Control Systems

Research Interests : Control Systems


To develop a smart plug to know the energy consumption, an energy monitoring system that

provides real time update of the energy consumption at the device level. The proposed device

is using an arduino microcontroller board, an ENC28J60 ethernet module, and a current

transformer sensor. The User Interface of the device is to be developed in android and the

data will be uploaded onto a server using the ethernet connection. The final output will be a

smart plug that can monitor a remote device using arduino android platform.

Additional requirement(equipment/software): Arduino board, transformer, Ethernet module

etc…

Approx. cost: Rs. 15,000/-


Project Title – 2 : DESIGN AND PERFORMANCE ANALYSIS OF AUTOMATED

TWO

AXIS SOLAR TRACKING SYSTEM FOR STEAM GENERATION

Guide :


Specialization : Control Systems

Research Interests : Control Systems


The main aim of this project is to develop and implement a prototype of automated two axis

solar tracking system and a cost effective system for water heating application. Parabolic dish

is constructed around 0.6m2 area to capture the sun’s energy. The assembly programming

language is used to interface the PIC microcontroller with two-axis solar tracking system.

Tracking calculation is done by altitude and azimuth angular position of the sun, so that

drawback in using light sensor based tracking method can be eliminated. Tracking errors due

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to weather and environmental factor can be eliminated by this system. The system starts to

operate at morning 8am and by evening 5pm it reaches the initial position. The temperature

attained is about 100 to 1600c. This system proves to be cost effective tracking system for

heating and cooking applications. By making large reflector, it can be used for power

generation.

Additional requirement (equipment/software): Gear system, Parabolic reflector, tracking

system, Microcontroller Etc…

Approx. cost: Rs. 15,000/-

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Mr. K. Vijay Chandra

Project Domain : bio-medical image processing

Project Title – 1 An efficient intelligent analysis system for confocal corneal

endothelium images

Guide : K. Vijay Chandra


Specialization : DSCE(ES)

Research Interests : Bio-Medical Image Processing

A confocal microscope provides a sequence of images of the corneal layers and structures at

different depths from which medical clinicians can extract clinical information on the state of

health of the patient’s cornea. A hybrid model based on snake and particle swarm

optimisation

(S-PSO) is proposed in this paper to analyse the confocal endothelium images. The proposed

system is able to pre-process images (including quality enhancement and noise reduction),

detect cells, measure cell densities and identify abnormalities in the analysed data sets. Three

normal corneal data sets acquired using a confocal microscope, and three abnormal confocal

endothelium images associated with diseases have been investigated in the proposed system.

Additional requirement(equipment/software):Bio-Medical Tool kit, Lab view/MATLAB

Approx. cost: 10k -


Project Title – 1 : Machine Intelligence for Confocal Microscope to detect corneal

Diseases

Guide : K. Vijay Chandra


Specialization : DSCE

Research Interests : Bio-Medical Image Processing

Project Description: The main objective is to develop an automated and efficient corneal

layer classification technology to identify the images belonging to individual corneal layers

based on their textures. This is important for the accuracy of 3D models and it also provides

the user with the ability to investigate the images/models belonging to particular corneal layer

without the need to go through all images/models.

Additional requirement(equipment/software):Bio-Medical Tool kit, Lab view/Matlab

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Approx. cost: 5k -

Mr. A. Adithya Kashyap

Project Domain : Data Acquisition and Control

Project Title : Design of Fractional Order PID Controller Using PSO Technique.

Guide : A. Adithya Kashyap


Specialization : Industrial Process Instrumentation

Research Interests : Nonlinear System Analysis & Control, Control System Modeling and Simulation,

Design of Fractional Order Controllers, Intelligent Control.


Particle Swarm Optimization technique offers optimal solution to multidimensional rough objective

functions. In this project, this optimization technique is used for designing fractional order PID

controller. Controller synthesis is based on required peak overshoot and rise time specifications. The

characteristic equation can be minimized to obtain an optimum set of controller parameters.

Additional requirement (equipment/software): Simulation Software(MATLAB/LabVIEW)

Approx. cost: -----

Project Domain : Data Acquisition and Control

Project Title : PID Controller design for Unstable processes with time delay

Guide : A.Adithya Kashyap


Specialization : Industrial Process Instrumentation

Research Interests : Nonlinear System Analysis & Control, Control System Modeling and Simulation,

Design of Fractional Order Controllers, Intelligent Control.


The aim of the project is to design a controller for unstable processes with time delay. For simplicity

we can consider a First order process. Controller design for the process can be done using PID

approach and by using an Intelligent control approach and the performance of both the controllers can

be compared.


Approx. cost: -----

441

Mrs. S. Vandana

Project Domain : Embedded Systems

Project Title – 1 : Automatic Irrigation System on Sensing Soil Moisture Content

Guide : S.Vandana



Research Interests : Wireless Communications

Project Description: The project is designed to develop an automatic irrigation system which

switches the pump motor ON/OFF on sensing the moisture content of the soil. In the field of

agriculture, use of proper method of irrigation is important. The advantage of using this

method is to reduce human intervention and still ensure proper irrigation.

The project uses an 8051 series microcontroller which is programmed to receive the input

signal of varying moisture condition of the soil through the sensing arrangement. This is

achieved by using an op-amp as comparator which acts as interface between the sensing

arrangement and the microcontroller.

Once the controller receives this signal, it generates an output that drives a relay for operating

the water pump. An LCD display is also interfaced to the microcontroller to display status of

the soil and water pump. The sensing arrangement is made by using two stiff metallic rods

inserted into the field at a distance. Connections from the metallic rods are interfaced to the

control unit.

The concept in can be enhanced by integrating GSM technology, such that whenever the

water pump switches ON/OFF, an SMS is delivered to the concerned person regarding the

status of the pump. We can also control the pump through SMS

Additional requirement(equipment/software): 8051 series Microcontroller, Op-amp, Relay,

Water Pump, GSM, Keil compiler

Approx. cost: Rs.6,000/-

Project Domain : Embedded Systems

Project Title – 2 : Solar Tracker Module with Automated Module Cleaning System

Guide : S.Vandana


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Research Interests : Wireless Communications

Project Description : Solar Tracker with IR Sensor is one of the features innovated to track

the light from the sun to increase the efficiency of the solar panel. It provided with an IR

sensor to detect the dust and clean it with cooling fan. Sunlight always moves due to the

rotation of the sun, certain solar panels are created static. Solar Tracking Robot is made to

improve the solar panel efficiency, thus it can catch the sun irradiance and the energy can be

stored as a renewable energy. The solution is using the theory and the Arduino’s

microcontroller to design the product. The method of planning, programming, calculating the

cost for the component also taken to ensure the product is good in quality but affordable. In

future, we try to make the solar with voltage reading and sensor less with high efficiency.

Additional requirement(equipment/software): ARDUINO Microcontroller, IR sensor, Servo

motor

Approx. cost:-Rs6,000/-

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Mr. G. Vamsi Krishna

Project Domain : Optical character Recognisation

Project Title – 1 : Recognizing Text-Based Traffic Signs

Guide : G Vamsi Krishna


Specialization : Instrumentation & Control Systems

Research Interests : Image Processing, Optical character Recognisation

Project Description: The automatic detection and recognition of traffic signs is a challenging

problem, with a number of important application areas, including advanced driver assistance

systems, road surveying, and autonomous vehicles novel system for the automatic detection and

recognition of text in traffic signs. Scene structure is used to define search regions within the image,

in which traffic sign candidates are then found. Maximally stable external regions (MSERs) and

hue, saturation, and value color thresholding are used to locate a large number of candidates, which

are then reduced by applying constraints based on temporal and structural information. A

recognition stage interprets the text contained within detected candidate regions. Individual text

characters are detected as MSERs and are grouped into lines, before being interpreted using optical

character recognition (OCR).

Additional requirement(equipment/software): Lab VIEW, Machine Vision Tool Kit

Approx. cost:

Project Domain : Signal Processing & synthesis

Project Title – 1 : An Intelligent Adaptive Filter for Elimination of Power Line Interference

from High Resolution Electrocardiogram

Guide : G Vamsi Krishna


Specialization : Instrumentation & Control Systems

Research Interests : Signal Processing


Electro Cardiogram (ECG) signals with high resolution in both time and amplitude is defined as

High Resolution Electrocardiogram (HRECG). HRECG signal is used for diagnosis of hidden

parameters of heart diseases especially for prognosis of sudden cardiac death (SCD). HRECG

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having a wider frequency band of interest as compared to a normal ECG signal is more sensitive to

various kinds of noises; out of which Power Line Interference (PLI) is most destructive

disturbance. For the case of HRECG signal the filtration of PLI and its harmonics should be more

accurate and precise. An ECG signal having PLI less than 0.5% of the peak-to-peak QRS

amplitude is referred as high-quality ECG; same criteria is applicable for HRECG signal.

Electrocardiogram (ECG) is a non-invasive method to monitor electric activities inside the heart.

The signals observed on the surface of human body, have very low amplitude thus ECG is highly

vulnerable to noise. One of the most devastating noise is power line interference (PLI) and its

harmonics which are interlaced with ECG signal even if the ECG equipment is operated on battery.

The problem is further complicated when frequency of PLI is not static, making the conventional

notch filter completely ineffective. High Resolution Electrocardiogram is a specialized technique

in which higher frequency components present in ECG signal are observed; here we need to

eliminate harmonics of PLI as well.

Additional requirement(equipment/software): Lab VIEW, Vision Assistant

Approx. cost:

445

Mrs. Bharati. Sagi

Project Domain : Process Control

Project Title – 1 : A Data-Driven Approach to Control of Batch Processes With an

Application to a Gravimetric Blender

Guide : Bharati. Sagi



Research Interests : Image Processing, Control Systems

Project Description: a data-driven controller design approach for batch processes is proposed. In

this strategy, based on a suitable transformation of the input and output signals, a mathematical

description of the process dynamics is not needed, and the working cycle is guaranteed to adapt to

the desired operating conditions. Throughout this paper, all the steps of the above algorithm are

described in detail with the help of an experimental case study dedicated to a gravimetric blender,

which is a key element in the plastic extrusion process.

Additional requirement(equipment/software): Lab VIEW, Control Design and Simulation Tool

Kit

Approx. cost:

Project Domain : Image Processing, audio synthesis

Project Title – 1 : Facial emotion detection considering partial occlusion of face using

Bayesian network

Guide : Bharati. Sagi



Research Interests : Image Processing, Control Systems

Project Description: Recently, robots that communicate with human have attracted much attention

in the research field of robotics. In communication between human, almost all human recognize

the subtleties of emotion in each other's facial expressions, voices, and motions. Robots can

communicate more smoothly with human as they detect human emotions and respond with

appropriate behaviors. Usually, almost all human express their own emotions with their facial

expressions. In this paper, we propose an emotion detection system with facial features using a

Bayesian network. In actual communication, it is possible that some parts of the face will be

occluded by adornments such as glasses or a hat. In previous studies on facial recognition, these

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studies have been had the process to fill in the gaps of occluded features after capturing facial

features from each image. However, not all occluded features can always be filled in the gaps

accurately. Therefore, it is difficult for robots to detect emotions accurately in real-time

communication. For this reason, we propose an emotion detection system taking into consideration

partial occlusion of the face using causal relations between facial features. Bayesian network

classifiers infer from the dependencies among the target attribute and explanatory variables. This

characteristic of Bayesian network makes our proposed system can detect emotions without filling

in the gaps of occluded features. In the experiments, the proposed system succeeded in detecting

emotions with high recognition rates even though some facial features were occluded.

Additional requirement(equipment/software): Lab VIEW, Vision Assistant

Approx. cost:

447

Mrs. H. Renuka


Project Title : Internet of Things (IoT) Guided Waste Collection Container For Content

Estimation And Collection Optimisation.

Guide : H.Renuka



Research Interests : Artificial Intelligence, Robotics, Virtual Instrumentation


The concurrent effects of a fast national growth rate of a large and dense residential area and a

pressing demand for urban environmental protection, create a challenging framework for Waste

Management.The complexity of context and procedures is indeed a primary concern of local

municipal authorities due to problems related to the collection, transportation and processing of

residential solid waste. In order to design and implement a suitable urban solid waste system, the

first task is to forecast the quantity and variance of solid waste as it relates to residential population,

consumer index, season, etc. The system here discussed addresses exactly these issues, by means of

an intelligent, sensorized container.

Smart Waste Management, to most of us would generally & usually mean, to collect and

disseminate our everyday waste and refuse materials that the Garbage man comes to our house for

pick up. But frankly speaking this concept actually means much more, than we assume and

presume.Waste management is not only exclusive of the above definition but also inclusive of

other aspects and activities. A Waste Management System includes all the stages right from that of

the collection of our waste by the pickup truck to the Recycling of the Waste. We propose such a

system in the project.


Approx. cost: -----


Project Title : Non Invasive Glycaemia Monitoring And Assist Using Internet of Things

Guide : H.Renuka



Research Interests : Artificial Intelligence, Robotics, Virtual Instrumentation

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IoT is one of the major communication advances in present time that links the internet with

everyday sensors and working devices for an all –IP based architecture. Extensive research on

using this concept in different applications has been recently reported. In recent years there has

been major initiatives and work in the area of m-health in different healthcare sectors, e.g. mobile

diabetes management systems. More recently, a new concept of m-IoT has been introduced. In

principle m-IoT introduces a new healthcare connectivity paradigm that interconnects IPV6 -based

communication technologies such as 6LoWPAN with emerging 4G networks for future Internet

based m-health services. From the glucose level sensing end, it is well known that real-time/

continuous measurement can provide significant clinical information of the glucose levels and

conditions to provide timely intervention of any hyperglycemic episodes of the diabetic patient in

real-time compared to non-real time measurements as it is the case currently. In recent years

several non-invasive glucose level measurement methods have been addressed and the opto-

physiological modeling could provide an approach for effective interpretation of these

measurement.


Approx. cost: -----

449

Mrs. Jyothirmai Joshi

Project Domain : Embedded systems

Project Title – 1 : Programmable Energy Meter for Electrical Load Survey

Guide : Jyothirmai Joshi

Qualification : M.tech


Research Interests : Integrated /Agricultural sensors, Embedded systems

Project Description: The project is designed to evaluate consumption of any load in units and

cost in rupees as per the energy tariff and the number of hours the load is going to be used.

The evaluation is almost instantaneous thus assisting the user to save hours of waiting time

for the load survey.

An energy audit is an inspection, survey and analysis of energy consumption with possible

conservation in domestic sector or industrial environment etc. As unit cost of electricity is

very high these days it is essential to know if a particular device or instrument is energy

efficient or not.

This system proposes an energy auditing system for the instruments where the

microcontroller calculates the units that will be consumed by the loads and the rupees that

will be spent on it. The input data i.e. energy tariff and number of hours the load is likely to

be used, is given by the user through push button switches.

The relevant information is displayed on an LCD interfaced with the microcontroller. The

microcontroller used in the project is of 8051 family.

Further the project can be enhanced by using a GSM modem interfaced to the device for

remote monitoring of these data over GSM network via SMS. Even load control can also be

achieved over SMS

Additional requirement(equipment/software): Microcontroller, Energy meter, C

Approx. cost: - 3000

Project Domain : Embedded systems

Project Title – 1 : Networking of Multiple Microcontrollers

Guide : Jyothirmai Joshi

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Qualification : M.tech


Research Interests : Integrated /Agricultural sensors, Embedded systems

Project Description: The project is designed to demonstrate how multiple microcontrollers

can be connected in a network to achieve the desired output. This technology is widely used

in modern automobiles.

More and more microcontrollers are embedded in different kinds of products from industrial

environment to domestic area; a good example is the automobile sector. A modern day car

has number of microcontrollers integrated within its system.As this number increases, the

networking and communication between them becomes necessary. The importance of having

multiple microcontrollers against a single one is if one of the microcontrollers goes bad only

the function related to that particular microcontroller will be affected.

The project demonstrates a command based monitoring tool using the RS232 protocol. A

network of three microcontrollers is used in this project.

For example, a display unit requiring 15 connections from the microcontroller needs to be

managed using a multi core cable, similarly for a keypad using 7 connections. Thus, for large

number of inputs and displays it would require multi core data cable to be connected to the

MC running over kilometers, whereas this project uses a pair of wire only thereby reducing

the complications in wiring and cost as well.urther this project being based on serial

communication can be enhanced by using wireless communication among the controllers by

avoiding costly cabling

The first one is connected to a

keypad for input action while the second one is connected to an LCD display and the third

one to drive a relay for controlling any load (LAMP).Input takes a password on the first MC

to display it on the second MC while the third one executes the output only if the password is

right. Wrong password if entered will generate a buzzer sound. Though this task can be

performed by a single microcontroller, the project uses multiple microcontrollers to explain

the concept of networking. It is practically impossible by a single microcontroller to handle

input action, display and output which are located way apart.

Additional requirement(equipment/software): Min of 3 Microcontrollers, Relay, buzzer,

keypad

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Approx. cost: - 2500

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Mrs. D. Srilaxmi

Project Domain : Labview

Project Title – 1 : Online temperature control based on Virtual Instrumentation

Guide : D.Srilaxmi


Specialization : Electronics and control

Research Interests : Control systems ,Labview,Neural Networks

LabView (Laboratory Virtual Instrument Engineering Workbench) is a graphical

programming environment suited for high-level or system-level design. The primary

difference between dasianaturalpsila instrumentation and virtual instrumentation is the

software component of a virtual instrument. The software enables complex and expensive

equipment to be replaced by simpler and less expensive hardware. This paper describes about

the development and implementation of an ON/OFF controller for online temperature control

experiment in real-time using the DataSocket communication protocol in LabVIEW. The

proposed system is connected to the server computer using a Data Acquistion (DAQ) board.

The objective of this experiment is to maintain the temperature inside a wooden box that is

heated by a light bulb at some desired set-point value, which is selected by a remote client.

The software for both the client and server computer is developed using DataSocket protocol

in LabView. The remote clients can monitor and control the temperature.

Additional requirement(equipment/software): NI Labview Software

Approx. cost: -

Project Domain : Labview

Project Title – 1 : Fuzzy based automatic multi-level vehicle parking using lab view

Guide : D.Srilaxmi



Research Interests : Control systems ,Labview,Neural Networks and Fuzzy Logic

This paper introduces a method of automatic multilevelcar parking system that parks the

vehicle in reduced space using the conditions based on fuzzy logic controller. It possibly

controls the traffic and avoids traffic congestion. This automatic multi-level vehicle stacking

system also has online access to book the parking slot in advance which is interfaced with the

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LabVIEW. The vehicle placed at the entrance point is parked automatically according to the

availability of slots. The car park consists of number of slots based on three different sizes.

The car is moved to the particular slot with help of an elevator placed at the centre of the

parking system. The elevator consists of an arm that moves along the vertical axis and can

rotate along the multi stack parking system. LabVIEW is used to check the availability of

slots, total number of cars parked the movement of the elevator and the position of the arm.

The programming software tracks the location of the vehicle and returns the vehicle on

request from the patron by the access system installed. Thus the paper shows the description

of the automatic multi-level vehicle stacking with microcontroller and fuzzy mechanism

using LabVIEW to achieve conventional parking system.

Additional requirement(equipment/software): Labview

Approx. cost: -


Project Title – 1 : Control using Sliding mode of two phase stepper motor

Guide : D.Srialxmi



Research Interests : Control systems ,Labview,Neural Networks

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This paper presents a proposition of sliding mode position controller of stepper motor - two

phase are commonly used in low-cost open-loop positioning control systems. However,

acceleration and deceleration are limited and operating open-loop can cause the loss of steps

and stalling of the motor. To overcome these inherent problems, a low-cost minor closed-

loop position control system (SMC) was developed to optimize the torque output, maximize

acceleration and deceleration rates and avoid the loss of steps. Two different minor closed-

loop position controllers were designed and tested. Both systems employ an optical

incremental encoder and both contain two feedback loops: a minor closed-loop (MCL)

feeding back a step angle signal and a major closed-loop for position feedback. The first

system uses a fixed advance angle MCL control whereas the second uses a fixed advance

time MCL control involving a time-based interpolator. Details of these control strategies

employed and the results obtained from the prototype systems are presented. The simulation

of the dynamic behavior of this non-linear system, achieved under Matlab/Simulink computer

package, allows us to examine the performance of this technique: improvement of the

stability and the dynamic response.


Approx. cost: -

S.No

2016-17 B.Tech IV Year Projects Compendium

Name of the Faculty Title of the project Domain Page No 1. G.Sureshreddy 1.GUI fir Text Document Clustering

and Classification using Improved Similarity Measure

2. Classification of Text Documents using SVM

Text Mining Text Mining

2. Dr.N.MangaThayaru 1. Diagnosis of Diabetes using Classification Mining Techniques

2. Diagnosis of Diabetes-Clinical Decision Support System.

Data Mining Data Mining

3. B.Mathura Bai 1. Development of a Fuzzy System for Diabetes 2. Mobile Health Monitoring System

Soft Computing Wireless Networks

4. D.Srinivasa Rao 1.Comparison of Image Image Processing

455

classification Techniques 2.Image Classification of Fused Images

Image Processing

5. Dr.G.Madhu 1. Intelligence based Clustering and Unsupervised Feature Selection for Malaria Image Segmentation. 2. A Study on Probabilistic Clustering Approach of Time-Evolving Distance Data

Machine Learning Data Mining

6. B.Jalander 1. Component Selection and Adaptation using Horizontal Reuse

2.A Framework Approach for redesign of Software Reuse

Software Engg/Java S.E/ Java

7. G. Rajesh Kumar 1. An IDS based on Nearest Neighbors and Combining Cluster Centers 2. IDS with Kernel based Similarity Measureusing Text Processing Techniques

Network Security, Mining Techniques Network Security

8. V.Sunderaiah 1. Behavior Rule Specification –based Intrusion Detection for Safety Critical. 2. A Poisson Hidden Markov Model for Multiview Video Traffic.

Network Security Networs

9. K.Renuka 1.Social Networks for Disease and Pest Control. 2. Secure Tag Search in RFID Systems using Mobile Readers.

Social life Networks Network Security

10. V.Saritha 1.Personalized Web Recommendation Systembased on Web Access Patterns 2.Mining Closed Sequential Patterns

Data Mining, JAVA Data Mining, JAVA

11. T.Ravi 1. Image Encryption for Secure Internet Transfer. 2. Customer Behavior Prediction using Web Usage Mining

Networks Data Mining

12. M.Koteswara Rao 1. Frame-Based Recovery of Corrupted Video Files Using Video Codec Specifications. 2. A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

Image Processing Cloud Computing

13. A.Revathi 1. Automated Web usage Data mining and Recommendation System.

Data Mining

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2. Location Based Search with Real Time Traffic system

Android

14. Y. Usha Rani 1.Automated Web usage Data Mining and Recommendation System using K-Nearest Neighbor (KNN) Classification Method 2.Mapping of Real Estate Prices using Data Mining Techniques.

Data Mining Data Mining

15. G.Naga Chandrika 1.A Novel Algorithm for Outlier Detection of Spatiotemporal Data 2. Unsupervised Feature Selection for Networks of Linked data

Data mining Data mining

16. V.RadhaKrishna 1.Mining Temporal Patterns and Trends in Temporal Databases 2. Mining Temporal Patterns in Interval Data

Databases, Data mining Databases

17. D.Kalyani 1.Certificate less signature scheme with security in the standard model. 2. Sequential Signatures with Short Public Keys without Random Oracles.

Network Security Network Security

18. N.Arun 1. A Secure Privacy Preserving and identifying similarity based approach in data retrieval. 2. Geo Data Mapper

Network& Security Network& Security

19. M.Susmitha 1. Classifying Large Data Sets Using SVMs with Hierarchical Clusters.

2. Text Document Latent Subspace Clustering by PLSA Factors

Text Mining Text Mining

Project Domain : Text Mining

Project Title : GUI for Text Document Clustering and Classification Using Improved

Similarity Measure.

Guide : G. Suresh Reddy


Designation : Associate Professor

Specialization : Information Technology

Research interest : Data Mining, Text Mining.

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Description of the Project

The clustering problem is defined to be that of finding groups of similar objects in the data. The

similarity between the objects is measured with the use of a similarity function. The problem of

clustering can be very useful in the text domain, where the objects to be clusters can be of different

granularities such as documents, paragraphs, sentences or terms. Clustering is especially useful for

organizing documents to improve retrieval and support browsing.

A wide variety of distance functions and similarity measures have been used for clustering, such as

squared Euclidean , Cosine , Jaccard, Gaussian , SMTP and Novel . In this project we compare and

analyze the effectiveness of these measures in partitional clustering and classification for text

document data sets and build a GUI.


To further extended project for Evolutionary Clustering of Documents using Frequent Item Sets.

Requirement for the Project : software: Java Eclipse Tool Kit. Hardware: Quad core System,4

GB RAM, 500GB Hard disk.

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Project Domain : Text Mining

Project Title : Classification of Text Documents using SVM

Guide : G. Suresh Reddy



Specialization : Information Technology

Research interest : Data Mining, Text Mining


To develop SVMs for the case of two-class data sets that is separable by a linear classifier and then

extends the model to non-separable data, multi-class problems, and nonlinear models. To consider

the practical deployment of text classifiers, what sorts of classifiers are appropriate and how to

exploit domain-specific text features in classification.

Future Expansion of the Project: To develop a Novel SVM( Kernel) for Text Classification.

Requirement for the Project : Software: Matlab, Java Eclipse Tool Kit.

Hardware: Quad core System,4 GB RAM, 500GB Harddisk.

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Project Domain : Data mining

Project Title : DIAGNOSIS OF DIABETES USING CLASSIFICATION MINING

TECHNIQUES

Guide : Dr.N.Mangathayaru


Designation : Professor

Specialization : Computer Science & Systems Engineering

Research interest : Data Mining, Bioinformatics


Diabetes has affected over 246 million people worldwide with a majority of them being women.

Accordingto the WHO report, by 2025 this number is expected to rise to over 380 million. The

disease has beennamed the fifth deadliest disease in the United States with no imminent cure in

sight. With the rise ofinformation technology and its continued advent into the medical and

healthcare sector, the cases ofdiabetes as well as their symptoms are well documented. This paper

aims at finding solutions to diagnosethe disease by analyzing the patterns found in the data through

classification analysis by employingDecision Tree and Naïve Bayes algorithms. The research hopes

to propose a quicker and more efficienttechnique of diagnosing the disease, leading to timely

treatment of the patients.

Requirement for the Project : JAVA

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Project Domain : Data mining

Project Title : Diagnosis of Diabetes - Clinical Decision Support System

Guide : Dr.N.Mangathayaru


Designation : Professor

Specialization : Computer Science & Systems Engineering

Research interest : Data Mining, Bioinformatics


The data collected by medical and healthcare industry is not turned into useful information for

effective decision making. Advanced technologies such as On-Line Analytical Processing (OLAP)

and data mining can be used by the Decision support systems (DSS) to deliver advanced

capabilities. This paper presents a decision support system which combines the strengths of both

OLAP and data mining. The system will predict the future state and generate useful information for

effective decision-making. With data mining, doctors can predict patients who might be diagnosed

with diabetes. OLAP provides a focused answer using historical data of concerned patients. The

system also compares the result of the ID3 and C4.5 decision tree algorithms



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Project Domain : Soft Computing Project Title : Development of a Fuzzy System for Diabetes

Guide : B.Mathura Bai

Qualification : M.Tech, (Ph.D) Designation : Associate Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Bioinformatics


This project aims in developing a compact fuzzy classification system directly from the data

without any a priori knowledge or assumptions on the distribution of the data. At the beginning of

the algorithm, the fuzzy classifier is empty with no rules in the rule base and no membership

functions assigned to fuzzy variables. To accomplish this, parameters of the variable input spread

inference training (VISIT) algorithm is used to code fuzzy systems on the training data set.

Future Expansion of the Project: The project can be further extended by using genetic

algorithms

Requirement for the Project : MatLab Software with required system configuration

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Project Domain : Wireless Networks Project Title : Mobile Health Monitoring System

Guide : B.Mathura Bai

Qualification : M.Tech, (Ph.D) Designation : Associate Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Machine Learning


Health monitoring is repeatedly mentioned as one of the main application areas for Pervasive

computing. Mobile Health Care is the integration of mobile computing and health monitoring. It is

the application of mobile computing technologies for improving communication among patients,

physicians, and other health care workers. As mobile devices have become an inseparable part of

our life it can integrate health care more seamlessly to our everyday life. It enables the delivery of

accurate medical information anytime anywhere by means of mobile devices. Recent technological

advances in sensors, low-power integrated circuits, and wireless communications have enabled the

design of low-cost, miniature, lightweight and intelligent bio-sensor nodes. These nodes, capable

of sensing, processing, and communicating one or more vital signs, can be seamlessly integrated

into wireless personal or body area networks for mobile health monitoring. In this paper we

present Intelligent Mobile Health Monitoring System (IMHMS), which can provide medical

feedback to the patients through mobile devices based on the biomedical and environmental data

collected by deployed sensors.

Requirement for the Project : Simulation Tools of Wireless Networks

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Project Domain: IMAGE PROCESSING

Project Title :Comparison of Image classification Techniques

Guide : D. SRINIVASA RAO

Qualification : B.Tech,M.Tech, (Ph.D) Designation : Associate Professor Specialization :Information Technology Research interest : Image fusion, Classification, Video Surveillance and Computer Vision Image Classification has formed an important part of the fields of Remote Sensing, Image Analysis and Pattern Recognition. In some instances, the classification itself may form the object of the analysis. Digital Image Classification is the process of sorting all the pixels in an image into a finite number of individual classes. The classification process is based on following assumptions:

• Patterns of their DN, usually in multi channel data (Spectral Classification). • Spatial relationship with neighbouring pixels. • Relationships between the data acquired on different dates. Pattern Recognition, spectral classification, Texture Analysis and Change Detection are

different forms of classification that are focused on 3 main objectives: • Detection of different kinds of features in an image. • Discrimination of distinctive shapes and spatial patterns. • Identification of temporal changes in image.

Classification generally comprises of four steps:

• Pre-processing, e.g., atmospheric, correction, noise suppression, Principal Component Analysis, etc.

• Training - selection of the particular features which best describe the pattern. • Decision - choice of suitable method for comparing the image patterns with the target

patterns. • Assessing the accuracy of the classification.

The informational data are classified into systems:

• Supervised classification • Unsupervised classification

The project aims at comparing the accuracy of supervised, semi-supervised and unsupervised techniques and performing feature-based image retrieval where the output is measured in terms of precision and recall. In addition, the accuracy of the training is improved by finding the saturation point, where regardless of the increase in the number of epochs, the accuracy will not increase further.

Future Expansion of the Project: These fusion analysis techniques followed by classification and accuracy assessment will gives the quantitative evaluation of infrastructure, and can be applied successfully to extract other classes and features using soft computing techniques will be future work. Requirement for the Project : MATLAB TOOL, INPUT IMAGES,ASSESSMENT TOOL

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Project Domain: Image Processing

Project Title : Image classification of Fused images

Guide : D. Srinivasa Rao

Qualification : B.Tech,M.Tech, (Ph.D)


Specialization :Information Technology

Research interest : Image fusion, Classification, Video Surveillance and Computer Vision

ABSTRACT Data fusion is a formal framework in which is expressed means and tools for the alliance of data

originating from different sources. It aims at obtaining information of greater quality; the exact

definition of ‘greater quality’ will depend upon the application. Satellites remote sensing image

fusion has been a hot research topic of remote sensing image processing. Make Multispectral

images matching with TM panchromatic image, and the error control in 0.3 pixels within. Use

fuzzy and neuro fuzzy logic, Modified Brovery, Multiplication, IHS, Principle component analysis

Transform (PCA) methods for the fusion experiment. Use some parameters to evaluate the quality

of fused images. Select representative features from the fused and original images and analysis the

impact of fusion method. The result reveals that all the methods have spectral distortion, fuzzy and

neuro fuzzy are the best two in retaining spectral information of original images, but the PCA is

the worst. In the process of remote sensing image data fusion, different method has different

impact on the fused images. Use supervised classification and unsupervised classification method

to make image classification experiments, the study reveals that all the fused images have higher

spatial frequency information than the original images, and fuzzy and neuro fuzzy based fusion is

the best method in retaining spectral information of original image.

Future Expansion of the Project: Fusion analysis techniques followed by classification and accuracy assessment will gives the quantitative evaluation of infrastructure, and can be applied successfully to extract other classes and features using soft computing techniques will be future work.

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Project Domain : Data Mining/ Machine Learning

Project Title : Intelligence based Clustering and Unsupervised Feature Selection for Image Segmentation: Applications to Malaria Diagnosis. Guide : Dr.G.Madhu



Specialization : Computer Science & Engineering

Research interest : Data Mining, Machine Learning


Image segmentation is an indispensable process in the visualization of human tissues, particularly

during clinical analysis of Malaria Blood Images. For many human experts, manual segmentation is a

difficult and time consuming task, which makes an automated malaria blood image segmentation

method desirable. In this project, we develop a new segmentation method for Malaria Blood Images

based on soft computing and image analysis techniques. An unsupervised feature selection method is

introduced, based on maximum relevance-maximum significance criterion, to select relevant and

significant textural features for segmentation problem, while the mathematical morphology. The

performance of the proposed method, along with a comparison with related approaches, is

demonstrated on a set of synthetic data sets and real malaria images using standard validity indices.

Requirement for the Project : MATLAB TOOL, INPUT IMAGES,ASSESSMENT TOOL

466

Requirement for the Project : JAVA or R-Language

Project Domain: Data Mining/ Machine Learning Project Title : A study on probabilistic clustering approach of time-evolving distance data Guide : Dr.G.Madhu

Qualification : Ph.D Designation : Associate Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Machine Learning


A major challenge in data analysis is to find simple representations of the data that best revealthe

underlying structure of the investigated phenomenon. Clustering is a powerful tool to detect such

structure in empirical data, thus making it accessible to practitioners. The problem of clustering

has a very long history in the data mining and machine learning communities, and numerous

clustering algorithms and applications have been studied in many different scientific disciplines

over the past 50 years. In this study, we present a probabilistic clustering model for objects that are

represented via pairwise distances and observed at different time points. The proposed method

utilizes the information given by adjacent time points to find the underlying cluster structure and

obtain a smooth cluster evolution.

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Requirement for the Project : Java or R-Language

Project Domain : Software Engineering Project Title : Component Selection and Adaptation using Horizontal Reuse Guide : B.Jalender

Qualification : M.Tech(CSE), (Ph.D) Designation : Associate Professor Specialization : Software Engineering Research interest : Software Engineering

468


Component Adaptation using Horizontal reuse process facilitates the good quality of productivity,

reliability, and the reduction of implementation time and costs. Horizontal

reuse plays a pivotal role in selecting and adopting components in software engineering. In this

process, initial investment is necessary to commence a software reuse process. But that investment

pays for itself in a component reuse. In this project,a newly developed model of a reuse process

and repository is introduced that automatically selects and adapts the components. Hence it will

minimize the cost and time of development work required for future projects. The purpose of this

project is to reduce the cost of the projects that are predicated on repository.


• The DADP (domain analysis and design process), provides the analysis of problem domain

or a class of applications to understand, by identifying common (horizontal reuse) and

domain concrete (vertical reuse) characteristics. Recognition performance in general

applications, can lead to an increase.


Project Domain : Software Engineering Project Title : A Framework Approach for redesign of Software Reuse Guide : B.Jalender

Qualification : M.Tech(CSE), (Ph.D)

Designation : Associate Professor Specialization : Software Engineering Research interest : Software Engineering

469


The main objective of this project is to describe a framework approach for redesign software reuse.

The frame work concepts of redesign reuse will leads to better product quality. In software

development Software reuse offers potential savings in time of construction of a new software

system. Redesign Reuse will help resolve the differences between the problem with the existing

(partial) solution (reusable) help and that does not exist (partial) solution (no reuse) the next. So

doing outlines a framework for thinking of the structure of the aspect of a component such

components can be said to be normalized because they are platform independent now.


• The cognitive reuse is to provide challenges that are needed for success significant

management of components

• In the component business decisions must be taken in context to determine the success of

the appropriate policy

• Greater emphasis should be placed on the evolution of the process and studies suggest that

cultural factors currently inhibiting reuse.

• Input parameters compared in the domain hence the code is become plat form

independent.


Project Domain : Network Security(Intrusion Detection), Mining Techniques Project Title : An IDS based on Nearest Neighbors and Combining Cluster Centers Guide : G. Rajesh Kumar Qualification : M.Tech, (Ph.D) Designation : Sr. Asst Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Network Security

470


The aim of an intrusion detection system (IDS) is to detect various types of malicious network

traffic and computer usage, which cannot be detected by a conventional firewall. Many IDS

have been developed based on machine learning techniques. Specifically, advanced detection

approaches created by combining or integrating multiple learning techniques have shown

better detection performance than general single learning techniques. The feature

representation method is an important pattern classifier that facilitates correct classifications,

however, there have been very few related studies focusing how to extract more representative

features for normal connections and effective detection of attacks. This paper proposes a novel

feature representation approach, namely the cluster center and nearest neighbor (CANN)

approach. In this approach, two distances are measured and summed, the first one based on the

distance between each data sample and its cluster center, and the second distance is between

the data and its nearest neighbor in the same cluster. Then, this new and one-dimensional

distance based feature is used to represent each data sample for intrusion detection by a k-

Nearest Neighbor (k-NN) classifier. The experimental results based on the KDD-Cup 99

dataset show that the CANN classifier not only performs better than or similar to k-NN and

support vector machines trained and tested by the original feature representation in terms of

classification accuracy, detection rates, and false alarms. It also provides high computational

efficiency for the time of classifier training and testing (i.e., detection).


As to the limitations of this research CANN cannot effectively detect U2L and R2L attacks, which means that this one-dimensional distance based feature representation is not able to well represent the pattern of these two types of attacks. This is an issue that future work can look into. Requirement for the Project : Knowledge of Intrusion Detection Techniques, Matlab, Java

Technologies, Clustering Techniques, Classification Techniques

471

Project Domain : Network Security(Intrusion Detection) Project Title : IDS with Kernel based Similarity Measure using Text Processing Techniques Guide : G. Rajesh Kumar Qualification : M.Tech, (Ph.D) Designation : Sr. Asst Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Network Security


This Project focuses on intrusion detection based on system call sequences using text

processing techniques. It introduces kernel based similarity measure for the detection of host-

based intrusions. The k-nearest neighbour (kNN) classifier is used to classify a process as

either normal or abnormal. The proposed technique is evaluated on the DARPA-1998

database and its performance is compared with other existing techniques available in the

literature. It is shown that this technique is significantly better than the other techniques in

achieving lower false positive rates at 100% detection rate.

Future Expansion of the Project:The algorithm and similarity measure used in this algorithm may be modified in order to show better results for multiple datasets.

Requirement for the Project :Matlab, Java Technologies, Knowledge of Network Security,

Knowledge of Mining Techniques.

472

Project Domain : Network Security Project Title : Behavior Rule Specification-based Intrusion Detection for Safety Critical

Guide : SundaraiahVanama

Qualification : B.Tech (M.Tech) Designation : Assistant Professor Specialization : Information Technology Research interest : Computer Networks & Information Security


We Propose and analyze a behavior-rule specification-based technique for intrusion detection of

medical devices embedded in a medical cyber physical system (MCPS) in which the patient's safety

is of the utmost importance. We propose a methodology to transform behavior rules to a state

machine, so that a device that is being monitored for its behavior can easily be checked against the

transformed state machine for deviation from its behavior specification. Using vital sign monitor

medical devices as an example, we demonstrate that our intrusion detection technique can

effectively trade false positives off for a high detection probability to cope with more sophisticated

and hidden attackers to support ultra-safe and secure MCPS applications. Moreover, through a

comparative analysis, we demonstrate that our behavior-rule specification based IDS technique

outperforms two existing anomaly-based techniques for detecting abnormal patient behaviors in

pervasive healthcare applications. Future Expansion of the Project: Instead of the specification-based technique, we may propose the neutral techniques which can be

used based on Intrusions

Requirement for the Project : System with PIV Processor, 250GB HDD, 1GB RAM

Ad-Hoc Network, L2 Switch

473

Project Domain : Networking Project Title : A Poisson Hidden Markov Model for Multiview Video Traffic Guide : SundaraiahVanama Qualification : B.Tech, (M.Tech) Designation : Assistant Professor Specialization : Information Technology Research interest : Computer Networks & Information Security


Multi view video has recently emerged as a means to improve user experience in novel multimedia

services. We propose a new stochastic model to characterize the traffic generated by a Multi view

Video Coding (MVC) variable bit-rate source. To this aim, we resort to a Poisson hidden Markov

model (P-HMM), in which the first (hidden) layer represents the evolution of the video activity and

the second layer represents the frame sizes of the multiple encoded views. We propose a method for

estimating the model parameters in long MVC sequences. We then present extensive numerical

simulations assessing the model's ability to produce traffic with realistic characteristics for a general

class of MVC sequences. We then extend our framework to network applications where we show

that our model is able to accurately describe the sender and receiver buffers behavior in MVC

transmission. Finally, we derive a model of user behavior for interactive view selection, which, in

conjunction with our traffic model, is able to accurately predict actual network load in interactive

multi view services.

Future Expansion of the Project: Requirement for the Project : System with PIV Processor, 250GB HDD, 1GB RAM

Video Recorder, Camera

474

Project Domain : Social life networks Project Title : Social life network for disease and pest control Guide : K.Renuka


Designation : Assistant Professor

Specialization : Computer Science Research interest : Social Life Networks, Cloud Computing, Data Mining, Networks Security


As a developing country agriculture has traditionally dominated the Indian economy and there are

various issues such as overproduction, under supply, pest and disease outbreaks which has affected

the farming community. Controlling diseases and pests related to cultivation is one of the major

issues that farmers face during their farming activities. The current process of detecting and

controlling pests and diseases is very time consuming in terms of collecting, analyzing, processing

pest and disease related data and notifying outbreaks to the relevant parties. This limits the timely

and proactive actions that could have been taken to control those pests and diseases. To address the

drawbacks and limitations in the current process, our proposed solution has built a Social Life

Network to help control the spread of diseases and pests. Building a Social Life Network provides

a good mechanism to link all the stakeholders of the agriculture sector. It also facilitates the

integration of information, knowledge and resources which are scattered in different places and

provide instant access to real time, dynamic information through the Social Life Network. Thereby

improving the information visibility to its stakeholders and providing the ability to make accurate

and timely decisions. With this system, details of crop pests or diseases (images with GIS data,

spatial data) are obtained from farmers together with the spatiotemporal data with minimum delay

would be available for analysis by the relevant officers to detect possible disease or pest. The

spread of verified diseases or pests is alerted via a map showing the locations as hotspots. After

collection of such data a model would be formulated to predict the spread of diseases or pests.


The next generation of social networks—social life networks (SLNs)—could become a powerful

force for individual well-being and economic growth. In particular, SNLs in emerging economies

could provide timely access to essential resources such as healthcare, transportation, education,

and water.

475


Hardware Requirements:

Processor : Intel Pentium IV 2.0 GHz and above

RAM : 512 MB and above

Hard disk : 80GB and above

Monitor : CRT or LCD monitor

Keyboard : Normal or Multimedia

Mouse : Compatible mouse

Software Requirements

Front End : JAVA

Language : JAVA/HTML

Back End : MYSQL/ACESS

Operation System : Windows XP or above

Browser : Any latest browser

Project Domain : Network Security Project Title : Secure Tag Search in RFID Systems Using Mobile Readers

Guide : K.Renuka

Qualification : M.Tech Designation : Assistant Professor Specialization : Computer Science Research interest : Social Life Networks, Cloud Computing, Data Mining, Networks Security

476


One of the important features of an RFID system is its ability to search for a particular tag among a group of tags. In order to ensure privacy and security of the tags, the search has to be conducted in a secure fashion. To our knowledge not much work has been done in this secure search area of RFID. The minimal work that has been done do not comply with the EPC C1G2 (Class-1 Gen-2) standard since most of them use expensive hash operations or sophisticated encryption schemes that cannot be implemented in the low-cost passive tags that are highly resource constrained. Our work aims to fill this gap by proposing a protocol that is based on simple XOR encryption and 128bit Pseudo Random Number Generators (PRNG), operations that can be easily implemented on low-cost passive tags. Thus, our protocol enables large scale implementations and achieves EPC C1G2 compliance while meeting the security requirements. The protocol provides additional protection by hiding the pseudorandom number during all transmissions using a blind-factor.

Future Expansion of the Project: One of the important features of an RFID system is its ability to search for a particular tag among a group of tags. One typical example is, a warehouse storing hundreds of thousands of items and the store manager wanting to locate a specific item. Tag search poses severe challenges to both security and privacy. Typical threats are: an adversary eavesdropping on the communication between the reader and the tags can use the captured information to replay the messages later, to learn the tag identities and to track the location of a specific tag.

In addition to these, a unique security problem exists in tag searching. It is common practice to use random numbers to generate different responses each time to prevent the tracking problem. While this technique works well in the authentication protocols, it does not solve the problem in tag search.

Requirement for the ProjectHardware Requirements:

• System : Pentium IV 2.4 GHz. • Hard Disk : 500 GB. • Monitor : 15 VGA Colour. • RAM : 512MB.

• Operating system : Windows XP.

Software Requirements:

• Front End : JSP • Back End : SQL Server

477

Project Domain : Data mining, java / j2EE Project Title : Personalized Web Recommendation System based on Web Access Patterns Guide : V. Saritha

Qualification : M.Tech, (Ph.D) Designation : Asst. Professor Specialization : Information Technology Research interest : Data Mining

Description of theProject

Day by Day information available on World Wide Web is increasing exponentially; it becomes

difficult for the web users to access relevant information efficiently. Recommender systems can

reduce the workload of web users. Usually, most of the web users surf web sites in particular

patterns. If the analysis of these usage patterns is done properly then it will be useful for

recommendation system to determine which web pages are most likely to be accessed by the user

in the future. All users’ web access activities of a web site are stored in web server log file.

Sequential pattern mining constitutes a basis for solution of pattern discovery problems in web

usage mining. Sequential patterns help to discover user navigation patterns on web sites, The

mined patterns are used for matching and providing useful navigation recommendations to users

based on previous user’s browsing patterns in web recommendation system.

Requirement for the Project : Web server log file, j2se6.0

478

Project Domain : Data Mining, java / j2EE Project Title : Mining Closed Sequential Patterns

Guide : V. Saritha

Qualification : M.Tech, (Ph.D) Designation : Asst. Professor Specialization : Information Technology Research interest : Data Mining


Sequential pattern mining constitutes a basis for solution of pattern discovery problems in data

mining. Given a sequence database where each sequence is an ordered list of events where each

event is a single item, and given a user-specific minimum support threshold min_sup, sequential

pattern mining is the process of finding the complete set of frequent subsequences, whose

occurrence frequency is greater than or equal to min_sup. Mining closed sequential patterns,

which are condensed representation of sequential patterns to address the challenges in mining all

frequent sequential patterns. A closed sequential pattern is said to be a specialized sequential

pattern which has no super-sequence with the same occurrence frequency.

Requirement for the Project : Web server log file, j2se6.0

479

Project Domain : Networks Project Title : Image Encryption for Secure Internet Transfer Guide : RAVI TENE Qualification : M.Tech Designation : Assistant Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Computer networks, image processing

Description of the Project Encryption is commonly used for encryption of text as well as images. Various encryption algorithms

exist for this purpose. Here we propose to build a secured image encryption algorithm that can be

used to encrypt as well as send images remotely to the intended receiver. Our system can link to

remote client to our software installed on remote system and connect to it for image transfer. Our

system uses RSA algorithm for this purpose. User may submit his image for encryption. Our system

now gets the image and converts it into hex format before being encrypted. Then we use RSA

algorithm to encrypt the image for sending through the internet. User may now select the intended

user from among the list of users having our software installed. Our system now sends the image in

an encrypted format through an active internet connection. Even if an attacker gets the file he first has

to Decrypt it using proper keys which are not available to him. He then needs to decode the image

into proper image format. When image reaches intended receiver he must first enter required keys.

On entering the right keys the software decrypts the entire image in original format and provides it to

the receiver. Thus we encrypt and securely send images over the internet using secure RSA

encryption.

Future Expansion of the Project: Requirement for the Project : .Net or JAVA

480

Project Domain : Data mining Project Title : Customer Behavior Prediction Using Web Usage Mining Guide : RAVI TENE Qualification : M.Tech Designation : Assistant Professor Specialization : Computer Science & Engineering Research interest : Data Mining, Computer networks, image processing

Description of the Project Web usage mining involves first recording behavior and flow of customers on a website and then mining

through this data for behavioural patterns. It is an important part of ecommerce world that allows websites

to go through previously recorded web traffic data. Ecommerce sites analyse this data in order to provide

better performance and also suggest better products and services to customers by identifying them next

time. The system is tuned to record web shopping/buying patterns and track various analytics data that

tend to provide future prediction statistics. The system scans for user budget tracking, tallying to previous

years, user bounce rates- number of users returning from payment page and other site usage factors.

Factors like returning users allow site owners to make appropriate changes and give the customer exactly

what is needed. This allows for more customer acquisition and thus more profitability. Ecommerce sites

need to survey and mine for previously recorded data to check their website performance and constantly

optimize it as per customer needs.

Future Expansion of the Project: Requirement for the Project : .Net or JAVA

481


Project Title : Frame-Based Recovery of Corrupted Video Files Using Video Codec

Specifications

Guide : M.KOTESWARA RAO

Qualification : B.Tech , M.Tech


Specialization : Information Technology , Computer Science

Research interest : Data Mining, Image Processing, Big Data, Programming Languages.


In digital forensics, recovery of a damaged or altered video file plays a crucial role in

searching for evidences to resolve a criminal case. This project presents a frame-based

recovery technique of a corrupted video file using the specifications of a codec used to encode

the video data. A video frame is the minimum meaningful unit of video data. Many existing

approaches attempt to recover a video file using file structure rather than frame structure. In

case a target video file is severely fragmented or even has a portion of video overwritten by

other video content, however, video file recovery of existing approaches may fail. The

proposed approach addresses how to extract video frames from a portion of video to be

restored as well as how to connect extracted video frames together according to the codec

specifications. Experiment results show that the proposed technique successfully restores

fragmented video files regardless of the amount of fragmentations. For a corrupted video file

containing overwritten segments, the proposed technique can recover most of the video

content in non-overwritten segments of the video file.


Requirement for the Project : Java /.net , Oracle , any IDE

482

Project Domain : Cloud Computing

Project Title : A Scalable Two-Phase Top-Down Specialization Approach for Data

Anonymization Using MapReduce on Cloud

Guide : M.KOTESWARA RAO

Qualification : B.Tech , M.Tech


Specialization : Information Technology , Computer Science

Research interest : Data Mining, Image Processing, Big Data, Programming Languages.


A large number of cloud services require users to share private data like electronic health

records for data analysis or mining, bringing privacy concerns. Anonymizing data sets via

generalization to satisfy certain privacy requirements such as kanonymity is a widely used

category of privacy preserving techniques. At present, the scale of data in many cloud

applications increases tremendously in accordance with the Big Data trend, thereby making it

a challenge for commonly used software tools to capture, manage, and process such large-

scale data within a tolerable elapsed time. As a result, it is a challenge for existing

anonymization approaches to achieve privacy preservation on privacy-sensitive large-scale

data sets due to their insufficiency of scalability. In this project, we propose a scalable two-

phase top-down specialization (TDS) approach to anonymize large-scale data sets using the

MapReduce framework on cloud. In both phases of our approach, we deliberately design a

group of innovative MapReduce jobs to concretely accomplish the specialization computation

in a highly scalable way. Experimental evaluation results demonstrate that with our approach,

the scalability and efficiency of TDS can be significantly improved over existing approaches.

Future Expansion of the Project : the scalability and efficiency of TDS can be significantly

improved

Requirement for the Project :Java /.net , Oracle , any IDE

483

Project Domain : Data Mining

Project Title : Automated web usage data mining and recommendation system

Guide : A.Revathi



Specialization : Computer Science

Research interest : Data Mining, Network Security and Mobile Applications

Description of the Project The major problem of many on-line web sites is the presentation of many choices to the client at a time; this usually results to strenuous and time consuming task in finding the right product or information on the site. In this work, we present a study of automatic web usage data mining and recommendation system based on current user behavior through his/her click stream data on the newly developed website, in order to provide relevant information to the individual without explicitly asking for it. Classification method has been trained to be used on-line and in Real-Time to identify clients/visitors click stream data, matching it to a particular user group and recommend a tailored browsing option that meet the need of the specific user at a particular time. To achieve this, web user’s address file was extracted, cleansed, formatted and grouped into meaningful session and data mart was developed. Future Expansion of the Project:

Requirement for the Project : JAVA Server Pages, JDK 8,HTML and JavaScript ,Apache Tomcat 7.0,My SQL Server (Database)

484

Project Domain : ANDROID

Project Title : LOCATION BASED SEARCH WITH REAL TIME TRAFFIC

SYSTEM

GUIDE : A.Revathi



Specialization : Computer Science & Engineering

Research interest : Data Mining, Network Security and Mobile Applications

Description of the Project Mobile phones never have been more popular, and powerful smart phones are now have become regular choice for customers. Stylish and versatile phones have hardware features like GPS, accelerometers, and touch screens that have enticing platform upon which we can create innovative mobile applications. Mobile computing systems are playing a more and more important role in everyday life. Android has opened mobile phone development to thousands of developers who haven’t had access to tools for building mobile application. Experienced mobile developers can now expand into Android platform, leveraging the unique features to enhance existing products or create innovative new ones. Applications based on both local and wide distributed wireless networks are being launched all the time. It is always observed that when travelling to a new city or even in known cities, we face many delays. These delays are due to lack of information of roads in new city, lack of information about road condition and some road blocks due to road works, accidents, festivals or rallies and lack of information about current traffic condition of the roads. It is also observed that many delays can be minimizes if we know all the factors discussed above. Many location based search apps are in the markets but many of them don’t use real time data in order to calculate best suitable path to destination. These include the current accidents details, traffic delay reasons so that user can easily decide best suitable path to destination. We have used Google Places Api, Google Maps Api, Google Direction Api for providing location based search depending on users choice and for real time traffic route suggestion we have used Real Time Vehicle detection algorithm in order to calculate the number of vehicles based on the road surveillance video and using this, congestion on road can be computed and with the help of Linear regression equation and Dijkstras algorithm best suitable path can be calculated. Future Expansion of the Project:

Requirement for the Project : Android Studio, My SQL Server

485

Project Domain : Data Mining Project Title : Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method Guide : Y.UshaRani Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Information Technology Research interest : Data Mining, Information Retrieval systems, Cloud Computing


The major problem of many on-line web sites is the presentation of many choices to the client at a

time; this usually results to strenuous and time consuming task in finding the right product or

information on the site. In this work, we present a study of automatic web usage data mining and

recommendation system based on current user behavior through his/her click stream data on the

newly developed Really Simple Syndication (RSS) reader website, in order to provide relevant

information to the individual without explicitly asking for it. The K-Nearest-Neighbor (KNN)

classification method has been trained to be used on-line and in Real-Time to identify

clients/visitors click stream data, matching it to a particular user group and recommend a tailored

browsing option that meet the need of the specific user at a particular time. To achieve this, web

users RSS address file was extracted, cleansed, formatted and grouped into meaningful session and

data mart was developed. Our result shows that the K-Nearest Neighbor classifier is transparent,

consistent, straightforward, simple to understand, high tendency to possess desirable qualities and

easy to implement than most other machine learning techniques specifically when there is little or

no prior knowledge about data distribution.

Future Expansion of the Project: using Advanced Data Mining Techniques.

Requirement for the Project : Data Mining ,JAVA Programming

486

Project Domain : Data Mining Project Title : Mapping of real estate prices using data mining techniques

Guide : Y.UshaRani

Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Information Technology Research interest : Data Mining, Information Retrieval systems, Cloud Computing


The major problem describes innovative software that is used for real estate evaluation and mapping and analyzing of real estate advertisements published on the internet in the Czech Republic. The software systematically collects, analyzes and assesses data about the changes in the real estate market. For each half year, the software assembles over 650,000 price quotations concerning sale or rental of apartments, houses, business properties and building lots. All real estate advertisements are continuously stored in a software database and are thoroughly analyzed for their credibility. There have been numerous articles concerning real estate market analysis in both mass media and scholarly publications. Unfortunately, not all presented information is objective and unbiased. Many cases by “independent specialists” have stated information with no verified research. We have witnessed manipulation of information by lobbies (such as banks offering mortgage agents, real estate companies and agents, building companies, developers, majority owners, etc.). The author of this paper offers objective and unbiased evaluation of price development in real estate market. Future Expansion of the Project:using Advanced Data Mining Techniques

Requirement for the Project : Data mining ,Java programming

487

Project Domain : Data Mining Project Title : A Novel Algorithm for Outlier Detection of Spatiotemporal Data Guide : G.Naga Chandrika Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Software Engineering Research interest : Data Mining, Machine Learning


Nowadays, the high availability of data gathered from wireless sensor networks and

telecommunication systems has drawn the attention of researchers on the problem of extracting

knowledge from spatiotemporal data. Detecting outliers which are grossly different from or

inconsistent with the remaining spatiotemporal data set is a major challenge in real-world

knowledge discovery and data mining applications. In this paper, we deal with the outlier

detection problem in spatiotemporal data and describe a rough set approach that finds the top

outliers in an unlabeled spatiotemporal data set. The proposed method, called Fuzzy-Rough

Outlier Set Extraction (FROSE), relies on a fuzzy-rough set theoretic representation of the

outlier set using the fuzzy-rough set approximations.


The FROSE algorithm appear to consistently outperform other rough and not rough approaches

in medium to large problem settings, showing to be able to do well also on data sets of varying

sizes. Since spatiotemporal outlier detection might turn out to be useful in many different

research fields, this work will spark further interest in such problems that are challenging and

relatively unexplored.


488

Project Domain : Data Mining Project Title : Unsupervised Feature Selection for Networks of Linked data Guide : G.Nagachandrika

Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Software Engineering Research interest : Data Mining, Machine Learning

Description of the Project The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for efficient data mining. Feature selection for unlabeled data remains a challenging task due to the absence of label information by which the feature relevance can be assessed. The unique characteristics of social media data further complicate the already challenging problem of unsupervised feature selection, (e.g., part of social media data is linked, which makes invalid the independent and identically distributed assumption), bringing about new challenges to traditional unsupervised feature selection algorithms. In this project, we study the differences between social media data and traditional attribute-value data, investigate if the relations revealed in linked data can be used to help select relevant features, and propose a novel unsupervised feature selection framework for networks of linked data. We perform experiments with real-world social media datasets to evaluate the effectiveness of the proposed framework and probe the working of its key components. Future Expansion of the Project:

We plan to incorporate tie strength prediction into LUFS to further exploit link information. Also we believe that the concept of pseudo-class label introduced in the paper is a powerful means to effectively constrain the learning space of unsupervised feature selection and can be extended to different applications without labeled data but additional information.

Requirement for the Project : Java

489

Project Domain : Databases and Data Mining Project Title : Mining Temporal Patterns and Trends in Temporal Databases

Guide : V.Radhakrishna

Qualification : M.Tech (CSE), (Ph.D(CSE))

Specialization : Information Technology Specific Skills : Algorithm Analysis , Knowledge of any Programming Language Research interest : Databases


Temporal patterns are patterns extracted from temporal databases. Temporal Knowledge

discovery process is associated with discovering hidden temporal trends and temporal patterns in

temporal databases. The emerging area internet of things has the main challenge to handle

temporal, spatial and spatio-temporal data. The objective of this project is to find ways to obtain

temporal trends from very large databases.

Requirements : Developing a Simple algorithm for mining temporal rules in a temporal database Fundamental Knowledge of any Programming Language Interest in Algorithm Analysis

490

Project Domain : Databases and Data mining Guide : V.Radhakrishna

Project Title : Mining Temporal Patterns in Interval Data

Qualification : M.Tech (CSE), (Ph.D(CSE))

Specialization : Information Technology Specific Skills : Any Programming Language , Algorithm Analysis Research interest : Databases Project Description: Sequential pattern mining is an important subfield in data mining. Recently, applications using time interval-based event data have attracted considerable efforts in discovering patterns from events that persist for some duration. Since the relationship between two intervals is intrinsically complex, how to effectively and efficiently mine interval-based sequences is a challenging issue. The aim of the project is to address this issue.

Requirements : Study on Temporal Databases Developing a Simple algorithm for mining temporal rules in a temporal database Fundamental Knowledge of any Programming Language Interest in Algorithm Analysis

491

Project Domain : Network Security

Project Title : Certificate less signature scheme with security in the standard model

Guide : D Kalyani

Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Computer Science & Engineering Research interest : Network security


Certificate less cryptography is an attractive paradigm, which combines the advantages of identity-based cryptography (without certificate) and traditional public key cryptography(no escrow). However, most of the existing schemes in the certificate less setting were proven secure in the random oracle model Although the random oracle methodology leads to the construction of efficient and provably-secure schemes. It has been shown that when random oracles are instantiated with concrete hash functions, the resulting scheme may not be secure. The existing CL-S schemes in the standard model share a common flaw, i.e.,given a signer’s signature on a message, an adversary can replace the public key of the signer and forge valid signatures on the same message under the replaced public key. To solve the drawbacks of the existing certificate less signature(CL-S) schemes without random oracles, a new proposed CL-S scheme, which possesses several merits including shorter system parameters and higher computational efficiency than the previous schemes. An improved scheme that overcomes the security flaws without affecting the merits of the original scheme. So this scheme is existentially unforgeable against adaptive chosen message attacks under the computational Diffie–Hellman assumption in the standard model.


Requirement for the Project : JAVA Programming, Cryptography Basics

492

Project Domain : Network Security

Project Title : Sequential Signatures with Short Public Keys without Random Oracles

Guide : D Kalyani

Qualification : M.Tech, (Ph.D) Designation : Assistant Professor Specialization : Computer Science & Engineering Research interest : Network Security


The aggregate signature has been motivated by applications and it enables any user to compress different signatures signed by different signers on different messages into a short signature. Sequential aggregate signature is a special kind of aggregate signature that only allows a signer to add his signature into an aggregate signature in sequential order. This scheme has applications in diversified settings such as in reducing bandwidth of certificate chains and in secure routing protocols. The proposed first sequential aggregate signature schemes with short public keys(i.e., a constant number of group elements) in prime order (asymmetric) bilinear groups that are secure under static assumptions in the standard model. Furthermore, schemes employ a constant number of pairing operations per message signing and message verification operation. Technically, a public-key signature scheme based on the recent dual system encryption technique. This technique cannot directly provide an aggregate signature scheme since, as additional elements should be published in a public key to support aggregation. Thus, techniques for the dual system technique to allow it to supports sequential aggregate signature schemes.


Requirement for the Project : JAVA Programming, Cryptography Basics

493

Project Domain : Networks and Security

Project Title : A Secure Privacy Preserving and identifying similarity based approach in data retrieval

Guide : Arun N

Qualification : B.E, M.Tech Designation : Assistant Professor Specialization : IT-Networking Research interest : Networks & Security Description of the Project

This project proposes an idea on how to preserve the data and identify the similarity based approach using various algorithms. The data present in the network is not secured enough. To make the data secure, various encryption algorithms like Elgamal encryption is to be performed, such that data can be protected and identified based on signatures. Privacy is provided for the data to communicate in the network and similarity measures is performed to retrieve the data. So that fetching of data will become easier and similarity can be known.


Further project can provide other method of encrypting the data and to provide efficiency in data retrieval.

Requirement for the Project : Windows OS with 32-Bit, Java/C++ compiler, 1Gb RAM, 100gb Hdd

494

Project Domain : Application Level

Project Title : Geo Data Mapper

Guide : Arun N

Qualification : B.E, M.Tech Designation : Assistant Professor Specialization : IT - Networking Research interest : Wireless Networks, Network Security


• Blue tooth communication to GPS device to read GPS related Date from

• Manage the points as point, polylin, polygon Date

• Associate Attribute date to these GIS Objects.

• Associate images Either Captured at run time or already captured.

• Save the data to KML file format.

• One can also capture image through this application.

• One can post this data to central server if GSM/GPRS Network is available.


Requirement for the Project : GPS based Mobile Devices, Microsoft office software, 1GB Ram, 10GB Hard Disk.

495

Project Domain : Text Mining Project Title : Classifying Large Data Sets Using SVMs with Hierarchical Clusters Guide : M.Susmitha Qualification : M.Tech Designation : Asst Professor Specialization : Software Engineering Research interest : Data Mining, Machine Learning, Text Mining

Description of the Project Support vector machines (SVMs) have been promising methods for classification and regression analysis

because of their solid mathematical foundations which convey several salient properties that other methods

hardly provide. However, despite the prominent properties of SVMs, they are not as favored for large-scale

data mining as for pattern recognition or machine learning because the training complexity of SVMs is highly

dependent on the size of a data set. Many real-world data mining applications involve millions or billions of

data records where even multiple scans of the entire data are too expensive to perform. So a new method,

Clustering-Based SVM (CB-SVM), which is specifically designed for handling very large data sets. CB-SVM

applies a hierarchical micro-clustering algorithm that scans the entire data set only once to provide an SVM

with high quality samples that carry the statistical summaries of the data such that the summaries maximize

the benefit of learning the SVM. CB-SVM tries to generate the best SVM boundary for very large data sets

given limited amount of resources.

Future Expansion of the Project: CB-SVM is currently limited to the usage of linear kernels since the

hierarchical micro-clusters would not be isomorphic to a new high-dimensional feature space once the space

is transformed by a nonlinear kernel. In other words, the statistical summaries of data such as radius and

distances computed in the input space will not be preserved in the transformed feature space. Constructing

effective indexing structures for nonlinear kernels is an interesting direction of future work since it has high

practical value especially for pattern recognition of large data sets, such as classifying forest cover types or

the pictures from a huge amount of satellite data. Requirement for the Project : Java,oracle10g

496

Project Domain : Text Mining Project Title : Text Document Latent Subspace Clustering by PLSA Factors

Guide : M.Susmitha

Qualification : M.Tech Designation : Asst Professor Specialization : Software Engineering Research interest : Text mining,Data Mining & Machine Learning


Text documents are often high dimensional and sparse, it is a great challenge to discover the clusters among

the unlabelled text data, because there are no obvious clusters by common distance measure. So here it is

mentioned to use latent subspace clustering method to find text clusters. In this algorithm, using latent

factors extracted by probability latent semantic analysis (PLSA) to generate latent clustering subspaces, and

then use the distance between sample and each latent clustering subspace as similarity for text clustering. On

some text document datasets this method shows effective implementation for text clustering. Future Expansion of the Project: LSC method can find most clusters for high dimensional and sparse

data This method finds all the clusters with accuracy value more than 64%. This accuracy can be improved by

combining effective matrix factorization in future

Requirement for the Project : Java,oracle10g

S.No. Project Domain Project Title Guide Specialization Page No

1. Thermal Heat Transfer in Composite Materials

Mr. T. Srinivasa Rao

Thermal Engineering

2. Manufacturing / Machining/

Developing regression models while

Mr. K. Kodanda Ram

Machine Tool Engineering

497

Production machining alloy steels with coated carbides

3. Manufacturing / Machining/ Production

Developing regession models while machining CI and MS and predicting response variables

Mr. K. Kodanda Ram

Machine Tool Engineering

4. Design and Fabrication

Development of Plug-in Hybrid Micro Car

Dr. Shaik Amjad Automobile Engineering

5. Design and Development

Development of Control System forPlug-in Hybrid Micro Car

Dr. Shaik Amjad Automobile Engineering

6. Manufacturing / Production

Design, modeling and fabrication of a automobile component using 3D printer

Dr.M. VenkataRamana

Advanced Manufacturing Processes

7. CAD/CAE Design, modeling and analysis of a automobile component using CAD/CAE tools

Dr.M. VenkataRamana


8. Manufacturing / Production

Optimization of welding process parameters

Dr.M. VenkataRamana


9. Thermal Enggg. (Alternate fuels & I C Engines)

Testing and performance evaluation in a diesel engine using carbon nanotubes blended water–diesel emulsion fuel

Mr. G V L Prasad Thermal Engineering

10. Design and analysis Predicting contact characteristics for worm gear using support vector machine

Mr. T. Praveen Kumar

Machine Design

11. Design and analysis Torsional vibration analysis of double walled silicon carbide Nanotubes using nonlocal elasticity

Mr. T. Praveen Kumar

Machine Design

12. Performance Testing of an Axial Flow Fan and Rotor Flow Field Measurements with some Modernization of the Fan Test Facility

Mr. R. Ramu Thermal Engineering

13. Hybrid vehicles and Electric vehicles

Developing Plug-in Hybrid Electric Vehicles

Mr. T Raju Thermal Engineering

14. Design Design And Estimation Of Stress Concentration Factor Of Turbocharger

Mr. K. Harish Sai Prasad

Engineering Design

498

Housing Used In Passenger Cars

15. Materials and NDT Preparation and Characterization of MWCNT epoxy nanocomposite

Mr. K. Harish Sai Prasad

Engineering Design

16. Automobile Engineering

Study of performance and emission characteristics of GDI-VCR engine

Mr. B. PavanBharadwaja

Automotive Engineering

17. Automobile Engineering

Study of performance and emission characteristics of variable injection timing of gasoline engine

Mr. B. PavanBharadwaja


18. Automobile CAD/CAE

Static and Dynamic Vibration Analysis of Ladder Frame Chassis

Mr. D.Suresh


499

Project Domain : Thermal

Project Title : Heat TransferinCompositeMaterials

Guide : Mr. T. Srinivasa Rao


Specialization : Thermal Engineering

Research Interest

: IC Engines, Thermal behaviour of composites, Multi phase flows


Many composite materials are composed of a matrix reinforced with fibers. Carbon fiber

composites are currently being used for high heat transfer applications. Carbon fibers are known

to have excellent thermal conductivities. However, if the interface between the matrix and fibers

has poor thermal properties, it affects the overall thermal conductivity of the composite

significantly. The goal of this project is to quantify the thermal conductivity of the matrix-fiber

interface in a set of carbon fiber composites. The present work involves modelling of

composites and determination of the fiber-matrix interface heat transfer coefficient using

ANSYS software.

The resulting values from the study are to be compared with results from an analytical equation.

Future Expansion of the Project: The project can be extended to composites with other fibers

Requirements of the Projects: ANSYS Software.

500

Project Domain : Manufacturing / Machining/ Production

Project Title : Developing regression models while machining alloy steels with coated carbides

Guide : Mr. K. Kodanda Ram

Qualification : M.E

Specialization : Machine Tool Engineering

Research Interest

: Metalcutting theory, Finite Element Method,CAD/CAM,Grinding,Robotics,regression models,ANN,FL,GA,Response surface methodology


Following are the objectives of this project

• Conduct experiments to evaluate MRR ,Surface Finish while machining EN 21 and EN

24 using carbide tools

• Develop regression model using the data

• Validate the model using response surface methodology ,ANN ,FL,GA


It will be extended for different materials and tool combinations using design of

experiments and validating neuro – fuzzy ,fuzzy- GA ,Neuro- GA models

Requirements of the Projects:

Knowledge in Metal cutting ,Regression models,ANN, GA,FL,MAT LAB

501

Project Domain : Manufacturing / Machining/ Production

Project Title : Developing regession models while machining CI and MS and predicting response variables

Guide : Mr. K. Kodanda Ram

Qualification : M.E

Specialization : Machine Tool Engineering

Research Interest

: Metal cutting theory,grinding,finite element method,CAD/CAM,Robotics,Regressionmodels,response surface methodology,ANN.FL,GA



• Conduct experiments using MS,castiron using conventional machines and measure

forces and tool life using different tools

• Develop models using regtession technique

• Predict response variables using ANN,FL,GA and response surface methodology

Future Expansion:

It will be extended for different materials and tool combinations using design of

experiements and validating neuro – fuzzy ,fuzzy- GA ,Neuro- GA models`

Requirements:

Knowledge in Metal cutting ,Regression models ,ANN, GA,FL,MAT LAB

502

Project Domain : Design and Fabrication

Project Title : Development of Plug-in Hybrid Micro Car

Guide :Dr. Shaik Amjad


Specialization : Automobile Engineering

Research Interest : Hybrid Electric Vehicles

Project Description: Increasing concerns about environmental issues, such as global warming and pollutant

emissions have made increase in energy efficiency and emission reduction a primary concern

for automobiles. In addition, the compounding effects of increasing personal vehicle use and

the deterioration of urban air quality from fossil fuel based transportation vehicles has

prompted the investigation of alternate propulsion technologies for powering automobiles.

Due to current economic crises, many people want low powered small vehicles with fuel

economy and the automakers are shifting their production to more fuel efficient and

environmental friendly vehicles to satisfy customer demands.

The objective of this project is to develop a plug-in hybrid micro car suitable for city

driving requirements. Micro car is a tiny, two-seat car that is best fit to an urban centre due to

its relative affordability and manoeuvrability in heavy traffic, whereas, plug-in hybrid electric

vehicle is a hybrid electric vehicle with an ability to plug-in to grid electricity. The developed

plug-in hybrid micro car will have two power sources: one IC engine and two electric hub

motors. Plug-in hybrid micro car allows for all-electric operation with hub motors for limited

distance travel and hybrid option of longer trips using IC engine.


Performance and Emission Analysis Plug-in Hybrid Micro Car


Fabrication facilities for vehicle and powertrain components

503

Project Domain : Design and Development

Project Title : Development of Control System forPlug-in Hybrid Micro Car

Guide :Dr. Shaik Amjad


Specialization : Automobile Engineering

Research Interest : Hybrid Electric Vehicles

Project Description: Increasing concerns about environmental issues, such as global warming and pollutant emissions have made increase in energy efficiency and emission reduction a primary concern for automobiles. In addition, the compounding effects of increasing personal vehicle use and the deterioration of urban air quality from fossil fuel based transportation vehicles has prompted the investigation of alternate propulsion technologies for powering automobiles. Due to current economic crises, many people want low powered small vehicles with fuel economy and the automakers are shifting their production to more fuel efficient and environmental friendly vehicles to satisfy customer demands. However, the development and deployment of plug-in hybrid micro car in the Indian market would require specific solutions for energy management and control. A careful analysis is therefore required in order to properly evaluate the potentialities of different hybrid architectures, different energy management systems, propulsion system component sizing, vehicle dimension, performance, weight and cost. A successful implementation of plug-in hybrid technology for micro car will bring about a substantial reduction of petroleum consumption and pollution levels.

The objective of this project is to develop a control system for plug-in hybrid micro car with an energy management strategy suitable for suitable for city driving requirements The first consideration for plug-in hybrid micro car is eliminating the idling and inefficient operations of selected IC engine. This can be achieved by shut-off the engine during idling and low-power driving conditions, which will be supplemented by the electric hub motors that provides high efficiency even at low power modes. The second consideration is the all-electric range (AER) designed for a plug-in hybrid micro car should be able to satisfy the daily average travel distance. Thus, it displaces a significant portion of petroleum fuel consumption by using electricity for portions of trips. Since, short trips represent the majority of city driving, the result would be a dramatic decrease in fuel consumption which in turn reduces pollution. Future Expansion of the Project:

504

Performance and Emission Analysis Plug-in Hybrid Micro Car


Fabrication facilities for vehicle and powertrain components

Project Domain : Manufacturing / Production

Project Title : Design, modeling and fabrication of a automobile component

using 3D printer

Guide : Dr.M. VenkataRamana

Qualification : M.Tech, Ph.D

Specialization : Advanced Manufacturing Processes

Research Interests : Manufacturing, Materials and CAD/CAM

Project Description


• Design a automobile component

• Model a automobile component using Creo software

• Manufacture the component using 3D printer

• Analyze the manufactured component for further improvement in design, modeling and

manufacture of a component if any and compare the results

Future Expansion: It will be decided at the end this project and also depends on results.

Requirements:

Knowledge in Creo and 3 D printing

505

Project Domain : CAD/CAE

Project Title : Design, modeling and analysis of a automobile component

using CAD/CAE tools

Guide : Dr.M. VenkataRamana




Project Description


• Identify and study an automobile component

• Model an automobile component using Creo software

• Analyze an component using ANSYS

• Find the critical results in the existing design

• Propose the new design and model the component

• Analyze the component using ANSYS on redesigned component

• Compare the existing design with proposed design

Future Expansion: It will be decided at the end this project and also depends on results.

Requirements:

Knowledge in CAD/CAE software tools like CREO and ANSYS, Design and materials

506

Project Domain : Manufacturing / Production

Project Title : Optimization of welding process parameters

Guide : Dr. M. VenkataRamana






• Design the experiments for welding process

• Performing experiments and obtain results for tensile strength and hardness of the welded

joint

• Optimization of process parameters for single objective and multi objective

• Analyze and compare results between single and multi objective optimization of process

parameters

• Validate the results with confirmation experiments

Future Expansion:

It will be decided at the end this project and also depends on results.

Requirements:

Knowledge in different welding technique, statistical technique like DoE and statistical software

like Minitab

507

Project Domain : Thermal Enggg. (Alternate fuels & I C Engines)

Project Title : Testing and performance evaluation inadieselengineusing

carbonnanotubesblendedwater–dieselemulsionfuel

Guide : Mr. G V L Prasad



Research Interest

: IC Engines


Performance test is conducted to establish the performance and emission

ofadieselengineusingcarbonnanotubes(CNT)blendedwater– diesel emulsion fuels. The

investigation is carried out in three phases using an experimental set-up consisting of a single-

cylinder diesel engine coupled with an eddy current dynamometer, an AVL five-gas analyser,

an AVL smoke meter, and a data-acquisition system. In the firstphase neat diesel, water–diesel

emulsion fuel in the second phase, and CNT blended water–diesel emulsion fuels in the third

phase. The water–diesel emulsion fuel is prepared in the proportion of 5 per cent water, 93 per

cent diesel, and 2 per cent surfactants (Span 80 and Tween 80) by volume with a hydrophilic–

lipophilic balance of 8. The CNT are blended with the water–diesel emulsion fuel in the mass

fractions of 25 and 50ppm with the aid of a mechanical homogenizer and an ultra-sonicator.

Subsequently thestabilitycharacteristicsofCNTblendedwater–dieselemulsionfuels are analysed

under static conditions. All the experiments are conducted at a constant speed of 1500r/min and

the results revealed a considerable enhancement in the brake thermal effi ciency and substantial

reduction in the harmful pollutants due to the incorporation of CNT in thewater–

dieselemulsionfuel.


Requirements of the Projects:Computerised diesel engine , Carbon Nano tubes

508

Project Domain : Design and analysis

Project Title : Predicting contact characteristics for worm gear using

support vector machine

Guide : Mr. T. Praveen Kumar


Specialization : Machine Design

Research Interests : Condition monitoring and fracture mechanics

Project Description

Frictionforceandfrictiontorqueareimportantfactorindynamicscharacteristicsoftransmissionsystem.

But, it is very difficult to measure friction force and friction torque. Numerical method is very

complex to consult the mathematic model and take more time to calculate. A method was

proposed, numerical algorithm and support vector machines were combined to predict the

friction force and the friction torque of helical gear. First, numerical method was constructed to

calculate contact characteristics. Then the results were adopted as inputs for support vector

machines to predict friction force and friction torque. The conclusion shows the results are direct

utilization which came from the output of support vector machines. Since the results are

available directly from the output of the numerical method. The. proposed method provides the

possibility to predict friction force and friction torque in Engineering.

Future Expansion:


Requirements:

Knowledge in Dynamic analysis

509

Project Domain : Design and analysis

Project Title : Torsional vibration analysis of double walled silicon

carbide Nanotubes using nonlocal elasticity

Guide : Mr. T. Praveen Kumar


Specialization : Machine Design

Research Interests : Condition monitoring and fracture mechanics

Project Description

In the present study, the torsional vibration behaviour of double walled silicon carbide nanotubes

is investigated using nonlocal elasticity theory. The effects of vander Waals Force interaction,

nanotube length and nonlocal parameter are studied in detail. Two frequency set are obtained for

silicon carbide for a given half wave number. It is also shown that some mode shapes are anti-

phase and some of them are in-phase. The present results can be useful in design of nano

electromechanical systems like nano bearings and rotary servomotors.

Future Expansion:


Requirements:

Knowledge in Dynamic analysis, Nanotube materials

510

Project Title : Performance Testing of an Axial Flow Fan and Rotor Flow Field Measurements with some Modernization of the Fan Test Facility

Guide : Mr. R. Ramu



Research Interest

: Heat Transfer, Fluid Mechanics and Hydraulic machines and Thermal Turomachinery


Axial fan, test facility, modernization, testing, pressure probes, performance, flow-field.

Axial flow fan test facility is used to determine the performance characteristics of an axial fan. These characteristics include variation of the pressure rise coefficient, power input coefficient and efficiency with the flow coefficient. Testing will aid in determining whether the design objectives have been achieved or not. In addition surveys can also be conducted to get the detailed description of the flow field at the inlet and outlet of the fan rotor. Testing a fan requires inlet ducting which will keep the flow entering into the fan free from any non-uniformities. In the outlet ducting and the inlet ducting convenient measurement stations can be located to determine the pressure rise coefficient. The fan needs to be driven at a constant speed and the flow needs to be regulated using a suitable throttling device in order to conduct the performance test and also to carry out flow field surveys. At the drive motor end provision can be made to measure and obtain the power input. Much of the confidence in the data acquired from the performance test and also the flow field surveys depends on how perfectly a test environment can be created. Details of flow field determined will depend on the instrumentation, data acquisition systems available and their level of sophistication. The data acquired will also relate more closely to the design depending on the method and precision with which the impeller is manufactured. In this direction an assessment of the existing fan test facility and the instrumentation was made and an attempt to modernize the facility was also carried out. A new digital DC drive along with a tacho-generator for the DC motor was installed and this enabled powering the DC motor and also regulation of the speed at the required level. A newly manufactured impeller was used to replace the old impeller. Newly acquired five hole and three hole pressure probes along with the existing scanning box and micro-manometer were used to conduct flow field surveys. To enable radial flow surveys new traverse mechanisms were fabricated to locate the probes at the required radial position at two convenient stations at the inlet and exit of the rotor. Performance testing and flow field surveys were successfully carried out. Future Expansion of the Project:

The project can be extended to composites with other fibers

511


ANSYS Software.

Project Domain

:

Hybrid vehicles and Electric vehicles

Project Title : “DevelopingPlug-in Hybrid Electric Vehicles”

Guide : Mr. T Raju



Research Interest

: Plug in hybrids and electric vehicles.


Study of different plug in electric vehicles.

Study of different plug in hybrid electric vehicles.

Knowing the difference between both electric and hybrid vehicles.

Design and analysis of different components( Ex : frame or chassis and body) using Creo,

Ansys and Solid works softwares

Fabricating plug in hybrid and electric vehicle.


1) Adopting different alternate fuels for pug in hybrid vehicles.

2) Adding Solar plate to the vehicle.


Creo, Ansys and solid work softwares, MIG welding.

512

Project Domain : Design

Project Title : Design And Estimation Of Stress Concentration Factor Of Turbocharger Housing Used In Passenger Cars

Guide : Mr. K. Harish Sai Prasad


Specialization : Engineering Design

Research Interest

: FEA, Machine design, Composites, Nano Composites.


Stress Concentration Factors are significant in machine design as it gives rise to localized stress

when any change in the design of surface or abrupt change in the cross section occurs. Almost all

machine components and structural members contain some form of geometrical or micro

structural discontinuities. These discontinuities are very dangerous and lead to failure. So, it is

very much essential to analyze the stress concentration factors for critical applications like

Turbocharger Housing. In this Finite Element Analysis (FEA) with extremely fine mesh in the

vicinity of the Turbocharger housing is applied to determine stress concentration factors and

finding out the best suited turbocharger housing for manufacturing.


Requirements of the Projects:NX5, Hyper-mesh, Uni-graphics software.

513

Project Domain : Materials and NDT

Project Title : Preparation and Characterization of MWCNT epoxy nanocomposite

Guide : Mr. K. Harish Sai Prasad


Specialization : Engineering Design

Research Interest

: FEA, Machine design, Composites, Nano Composites.


This project deals with the processing of nanocomposites based on epoxy and nanofillers,

namely multiwalled carbon nanotubes (up to 10 wt%) and carbon black (up to 15 wt%). The twin

screw extruded nanocomposites are bound to show increases in electrical and thermal

conductivities, tensile strength, microhardness and glass transition temperature. Electrical

conductivity can be increased on the order of 1005- 1025 at 10 wt% of nanotubes loading and at

15 wt% of carbon black. The variation in thermal and mechanical properties to be studied in

cases of nanotube-dispersed composites.


Requirements of the Projects:SEM, AFM, Twin screw Extrusion

514

Project Domain : Automobile Engineering

Project Title : Study of performance and emission characteristics of GDI-VCR engine

Guide : Mr. B. PavanBharadwaja


Specialization : Automotive Engineering

Research Interest : I.C Engines



• Conversion of conventional SI engine to GDI engine

• Replacing carburetor with fuel injector

• Building electronic module for fuel injector

Allowing engine to run at different compression ratios and analyzing performance and emission

characteristics.




SI engine with dynamometer, fuel injector and electronic module.

515

Project Domain : Automobile Engineering

Project Title : Study of performance and emission characteristics of variable injection timing of gasoline engine

Guide : Mr. B. PavanBharadwaja



Research Interest : I.C Engines



• Solenoid valve fuel injector is attached to the fuel pump

• Replacing carburetor with fuel injector

• Building electronic module for fuel injector

Allowing engine to run at different injection timings and analyzing performance and emission

characteristics.




VCR-SI engine with dynamometer, fuel injector and electronic module.

516

Project Domain : Automobile CAD/CAE

Project Title : Static and Dynamic Vibration Analysis of Ladder Frame

Chassis

Guide : Mr. D.Suresh



Research Interests : Alternative fuels, Automotive Chassis Systems

Project Description


• Identify and study an automobile chassis

• Model an automobile chassis using Creo software

• Analyze an component using ANSYS

• Find the critical results in the existing design

• Propose the new design and model the chassis

• Analyze the component using ANSYS on redesigned component

• Compare the existing design with proposed design

Future Expansion:

It will be decided at the end of this project and also depends on results.

Requirements:

Knowledge on Creo, ANSYS software’s, different loads on Chassis and materials.