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Research Planning Knowing vs Doing Implementation requires planning Failure to plan is a plan to failure

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Page 1: K.chart

Research Planning

Knowing vs Doing Implementation requires planning Failure to plan is a plan to failure

Page 2: K.chart

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HOW TO HOW TO PLANPLAN

The process flow:

DEVELOP RESEARCH / STUDY MODEL

IDENTIFY TOPIC

OBTAIN DATA

IDENTIFY RESEARCH AREA

START

IDENTIFY THE SPECIFIC AREA OF RESEARCH

CHOOSE SUPERVISOR

ANALYZE RESULT

/ CONCLUSION

REPORT SUBMISSION

END

REPORT/THESIS WRITING

EXECUTE RESEARCH

LIT

ER

ATU

RE

REV

IEW

Page 3: K.chart

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GOOD PLANNING: THE TRAITS

Clear plan

Strong grasp of the fundamentals/theory

Extensive critical reviews

Sufficient facility

Detail experimentation

Thorough analysis

Passionate

Page 4: K.chart

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1. Planning :Develop:

Micro: K ChartMacro: Gantt Chart

Manpower and facilities requirements(Admin) : Filing incl. List of sub-projects/ Grad studentsCollaboration Funding

Page 5: K.chart

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2. ExecutionLiterature review; Indexing of papers end notes

Summary of contents

Regular discussions

3. ResultsResults organization – indexing

Results reporting

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4. PublicationList of journals

Publication plan

Writing retreats

Writing template

Paper indexing

5. ProtectionIPR (patent, copyright, trademark) filing

6. CommercializationProduct/technique summaryMarket and competitiveness analysis

Page 7: K.chart

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PLANNING TOOLS

Gantt Charts

What to doWhen to do and When to

stop What to achieve

ActivitiesPeriod of activities/timeline Deliverables and milestones

Contents of Gantt Charts

Page 8: K.chart

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Sample of a Gantt Chart

 

YEAR 2002 2003 2004

MONTH 2 3 4 5 6 7 8 910

11

12

1 2 3 4 5 6 7 8 910

11

12

1 2 3 4 5 6

No. Activity                                                          

1Literature Review

                                                         

2Code Development

            

*                                            

3Computer Simulation

                                                         

4 Procurements                                               * 

         

5 Experiment                                                          

6 Result Analysis                                                       * 

 

7 Report Writing                                                          

Page 9: K.chart

Hands-on Workshop

Develop a Gantt Chart for your research project

Page 10: K.chart

A tool for systematically organizing research

1.1. Scope of issues under study,Scope of issues under study, 2.2. Methods,Methods, and 3.3. ResultsResults

in the form of a Tree Diagram

K-CHARTK-CHART

Page 11: K.chart

THE K-CHART LAYERSK-Chart organizes the items in 4

layers:

RESULTS LAYERRESULTS LAYER

GENERAL TITLE

ISSUES LAYER

METHODS LAYER

Page 12: K.chart

STRUCTURE OF A K-CHART

System

Sub Issues 2(App. Based)

Sub-system/ Elements

Methods

Sub-issues N

SimulationExperiment

Results: Performance Parameters

Sub Issues 1(Types based)

DP 1

ABC

Type 2 Type 3

App. 1

Type 1

App.2 App. 3

A B C

App.4

Theoretical Survey

PP2

Design Parameters

b1 b2 b3

PP 1

DP 3DP 2

PP 3

DP1 DP 3

General Topic Study of the Performance of ABCSco

pe

Meth

ods

Resu

lt

Page 13: K.chart

Sub Issues 2: Types based

Sub Issues 3: Types basedSUBSYSTEM/ ELEMENTS

Sub Issues 1: App. based

Vehicles

Land Sea

Motorcycles

Air

Cars Trucks

Mini Sedan Wagon

Vans

Engine Body Tire

Factors Influencing the Performance of Motor VehiclesGENERAL TITLE

METHODOLOGIES SimulationExperimentTheory Survey

Lab. Tests Field Tests

Lab. prototype Eng. prototype Commercial prototype

Meas. Techn.1 Meas. Techn.2 Meas. Techn.3

SYSTEM

RESULTS: Performance Parameters

Pressure

Speed

Design Parameters

Acceleration

Tire WidthTire Height

Fuel consumption

Tire Pressure Tire Width

Page 14: K.chart

THE TITLEA title should indicate:

The systems you are working onThe problems you are solvingYour achievementsYour methodology

General Title: GeneralFinal Project (Thesis) Title: More specificPaper’s Title: Very specific

Page 15: K.chart

ISSUES LAYER

The more detail the layers, the less the assumption, the better

Every time there is a jump between the layers, an assumption is made (thus, a justification is required)

One can choose any way he/she likes to arrange the sequence of layers

However, Issues of the same theme should be in the same layer

Page 16: K.chart

ISSUES LAYER

The Issues Layers indicateThe scope of literature review &

critical reviews (what to get from the papers)

The focused issues (designation of issues)

The rationale in choosing issues to study (to move from one level to the next)

The Problem Statement

Page 17: K.chart

Knowledge Management

Knowledge Management

Organization Identification Creation Acquisition Dissemination Adaptation Application Organization Identification Creation Acquisition Dissemination Adaptation Application

Knowledge/ Ontology

Multimedia Raw DataMultimedia

Raw Data

Multimedia Knowledge

Representation

Multimedia Knowledge

Representation

Knowledge Base Frameworks

Meaning (e.g. Discourse, Lexicontology analysis)

Features (e.g. Phrasal & Dependency analysis)

Generic AIProcessorsGeneric AIProcessors

Database/XMLMultimedia Knowledge Extraction/Generation

Multimedia Knowledge Extraction/Generation

Text Speech ImageMusicAudio BiosignalGraphics/Animation

Data/Text Mining

Clustering/ Classification

Multimedia Data Indexing

Focused Information Retrieval

Pattern Identification

BiometricsBiometrics

Distributed computing Parallel computing Grid computingHigh

Performance Computing

High Performance Computing

Multimedia computing

Universal Multimedia Filter

Data CompressionMultimedia

CommunicationMultimedia

CommunicationData Security Multimedia Network

protocol Signal processing

Robotic NavigationRobotic NavigationVideo/Stereo Vision InformaticsVideo/Stereo Vision Informatics SurveillanceSurveillance

Prediction Scheduling Optimization

Creative Multimedia

Creative Multimedia

Organization Identification Creation Acquisition Dissemination Adaptation Application MediumContent User

EnvironmentDomain specific

ApplicationsDomain specific

ApplicationsHealthcareLanguage

Finance LawRoboticsSmart office

Smart Home Smart Meeting Room

Computer Aided TranslationComputer Aided Translation

3D Games

Culture & Heritage Education

3D Film/Movie

Multilingual Translation

Question Answering

Multimodal Visualizer

IT Cluster Technology Framework LayersIT Cluster Technology Framework Layers

Page 18: K.chart

METHODS LAYER

To define the specific methods adopted To designate which methods are of higher

priorities To avoid ambiguities in the approach taken To reduce assumptions

Page 19: K.chart

The Results Layers help in:1. Identifying the expected results,

and how many of them2. Setting the priorities and

designation of results3. Identifying the possible analyses

e.g. comparative studies4. Organizing reports/thesis/papers5. Designating sub-projects

RESULTS LAYER

Page 20: K.chart

PLANNING FOR RESULTS

Results Layer

Results: Performance Parameters

Pressure

Speed

Design Parameters

Acceleration

Tire WidthTire Height

Fuel consumption

Tire Pressure

Tire Width

Method 1

Page 21: K.chart

GENERATING DATA/RESULTS Again, use Micro-level planning: K-

Chart Methodology Layers

SimulationExperimentTheory Survey

Lab. Tests Field Tests

Lab Prototype Eng. Prototype Commercial Prototype

Measurement Techn.1

Measurement Techn.2

Measurement Techn.3

Page 22: K.chart

REPORTING RESULTS:Results Report Template

1. Title of project,2. Title of result 3. Graph presentation, 4. Setup parameters, 5. Method of measurement,6. Analysis of Trend, 7. Analysis of Reason, 8. Comparative Analysis (critical review)9. Statement of Achievement of Objective

Page 23: K.chart

SAMPLE RESULT REPORT1. Title of Project : Analysis of Impairment Factors in Fiber Optic Transmission2. Result Title : Q factor vs PTx3. Index: R3: PP2-DP14. Graph

5. System setup parameterTransmission rate = 2.5G, Dispersion = 16.75 ps/nm.km, Attenuation coefficient =

0.2dB/km, Fibre length = 50km

6. Method of measurement Simulation- Optisys V.4. Taken after the receiver in electrical domain. Q is

calculated value based on eye pattern

Low Transmit Power

0

5

10

15

20

25

30

0 -1.0 -2.0 -3.0 -4.0 -5.0 -6.0 -7.0 -8.0 -9.0Transmit Power

Q F

acto

r

Q factor

Stage 1

Stage 2Stage 3

Page 24: K.chart

7. Analysis of TrendThe reduction of launching power to -7dBm would give an almost similar effect onto Q factor as the attenuation coefficient of 0.34dB/km. Q factor reduces exponentially with launching power reduction. Can be represented by the exponential equations during 3 stages: Stage 1 :0 to -3.0dBm : y = 33.19e-0.21x, Stage 2: -3.0 to -6.0dBm : y = 17.562e-0.23x, Stage 3 : -6.0 to -9.0dBm : y = 8.863e-0.23xQ factor decreases with the steepest curve line for the reduction of launching power from 0 to 3.0dBm. At -7dBm launching power, the Q factor obtained from the simulation result is 5.67864.

8. Analysis of Reason/DiscussionAs power reduces, the difference between signal and noise becomes smaller, thus closing the eye, therefore lower Q. At very low power, signal-independent noise becomes dominant thus the constant Q value (exponential curve). For higher data transmission rate, higher launching power would be required but need to watch out for the non linear effect due to higher power. For low data transmission rate, we can use a lower power laser for cost effective solution.

9. Comparative analysisNothing new

10. Achievement of Objective Objective 1 to analyze the impairment factor in fiber optic transmission

Page 25: K.chart

Hands-on Session

Develop a K-Chart based on your research project

Page 26: K.chart

Sub Issues 2

Sub Issues 3

Sub Issues 1

ER diagram tools

Happy fish RISE editor

Happy fish 2

DB designer

Happy fish4

DC Normal Phosphorus

FBG D -FBG Macro-bending

Factor influencing the performance of Erdiagram toolsGENERAL TITLE

METHODOLOGIES SimulationExperimentTheoretical

Lab. Tests Field Tests

Lab. prototype Eng. prototype Commercial prototype

Pump Power Vs Wavelength vs Input Power

SYSTEM

RESULTS: Performance Parameters

Fiber Length

Gain

Design Parameters

ASE

Bend radius

Noise Figure

Fiber Length Bend Radius

Problem Statement