k.chart
TRANSCRIPT
Research Planning
Knowing vs Doing Implementation requires planning Failure to plan is a plan to failure
2
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
3
GOOD PLANNING: THE TRAITS
Clear plan
Strong grasp of the fundamentals/theory
Extensive critical reviews
Sufficient facility
Detail experimentation
Thorough analysis
Passionate
4
1. Planning :Develop:
Micro: K ChartMacro: Gantt Chart
Manpower and facilities requirements(Admin) : Filing incl. List of sub-projects/ Grad studentsCollaboration Funding
5
2. ExecutionLiterature review; Indexing of papers end notes
Summary of contents
Regular discussions
3. ResultsResults organization – indexing
Results reporting
6
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
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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
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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
Hands-on Workshop
Develop a Gantt Chart for your research project
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
THE K-CHART LAYERSK-Chart organizes the items in 4
layers:
RESULTS LAYERRESULTS LAYER
GENERAL TITLE
ISSUES LAYER
METHODS LAYER
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
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
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
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
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
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
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
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
PLANNING FOR RESULTS
Results Layer
Results: Performance Parameters
Pressure
Speed
Design Parameters
Acceleration
Tire WidthTire Height
Fuel consumption
Tire Pressure
Tire Width
Method 1
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
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
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
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
Hands-on Session
Develop a K-Chart based on your research project
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