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

2. 2
HOW TOHOW 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
LITERATURE
REVIEW

3. 3
GOOD PLANNING: THE TRAITS
Clear plan
Strong grasp of the fundamentals/theory
Extensive critical reviews
Sufficient facility
Detail experimentation
Thorough analysis
Passionate

4. 4
1. Planning :
Develop:
Micro: K Chart
Macro: Gantt Chart
Manpower and facilities requirements
(Admin) : Filing incl. List of sub-projects/ Grad
students
Collaboration
Funding

5. 5
2. Execution
Literature review; Indexing of papers end notes
Summary of contents
Regular discussions
3. Results
Results organization – indexing
Results reporting

6. 6
4. Publication
List of journals
Publication plan
Writing retreats
Writing template
Paper indexing
5. Protection
IPR (patent, copyright, trademark) filing
6. Commercialization
Product/technique summary
Market and competitiveness analysis

7. 7
PLANNING TOOLS
Gantt Charts
What to do
When to do and When to stop
What to achieve
Activities
Period of activities/timeline
Deliverables and milestones
Contents of Gantt Charts

8. 8
Sample of a Gantt Chart
YEAR 2002 2003 2004
MONTH 2 3 4 5 6 7 8 9
1
0
1
1
1
2
1 2 3 4 5 6 7 8 9
1
0
1
1
1
2
1 2 3 4 5 6
No. Activity
1
Literature
Review
2
Code
Development
*
3
Computer
Simulation
4 Procurements *
5 Experiment
6 Result Analysis *
7 Report Writing

9. Hands-on Workshop
 Develop a Gantt Chart for your
research project

10. 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

11. THE K-CHART LAYERS
K-Chart organizes the items in 4 layers:
RESULTS LAYERRESULTS LAYER
GENERAL TITLE
ISSUES LAYER
METHODS LAYER

12. 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 ABC
ScopeMethodsResult

13. Sub Issues 2: Types
based
Sub Issues 3:
Types based
SUBSYSTEM/ 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

14. THE TITLE
A title should indicate:
The systems you are working on
The problems you are solving
Your achievements
Your methodology
General Title: General
Final Project (Thesis) Title: More specific
Paper’s Title: Very specific

15. 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

16. ISSUES LAYER
 The Issues Layers indicate
 The 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

17. Knowledge
Management
Knowledge
Management
OrganizationIdentificationCreation Acquisition Dissemination Adaptation ApplicationOrganizationIdentificationCreation Acquisition Dissemination Adaptation Application
Knowledge/ Ontology
Multimedia
Raw Data
Multimedia
Raw Data
Multimedia
Knowledge
Representation
Multimedia
Knowledge
Representation
Knowledge Base Frameworks
Meaning (e.g. Discourse,
Lexicontology analysis)
Features (e.g. Phrasal &
Dependency analysis)
Generic AI
Processors
Generic AI
Processors
Database/XML
Multimedia
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 computing
High
Performance
Computing
High
Performance
Computing
Multimedia computing
Universal Multimedia
Filter
Data
CompressionMultimedia
Communication
Multimedia
Communication
Data Security
Multimedia Network
protocol
Signal processing
Robotic NavigationRobotic NavigationVideo/Stereo Vision InformaticsVideo/Stereo Vision Informatics SurveillanceSurveillance
Prediction Scheduling Optimization
Creative
Multimedia
Creative
Multimedia
OrganizationIdentificationCreation Acquisition Dissemination Adaptation Application
MediumContent User
Environment
Domain specific
Applications
Domain specific
Applications
HealthcareLanguage
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 Layers

18. 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

19. The Results Layers help in:
1. Identifying the expected results, and
how many of them
2. Setting the priorities and designation
of results
3. Identifying the possible analyses e.g.
comparative studies
4. Organizing reports/thesis/papers
5. Designating sub-projects
RESULTS LAYER

20. PLANNING FOR RESULTS
 Results Layer
Results:
Performance
Parameters
Pressure
Speed
Design
Parameters
Acceleration
Tire WidthTire
Height
Fuel
consumption
Tire
Pressure
Tire Width
Method 1

21. 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

22. 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

23. SAMPLE RESULT REPORT
1. Title of Project : Analysis of Impairment Factors in Fiber Optic Transmission
2. Result Title : Q factor vs PTx
3. Index: R3: PP2-DP1
4. Graph
5. System setup parameter
Transmission 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 -9.0
Transmit Power
QFactor
Q factor
Stage 1
Stage 2
Stage 3

24. 7. Analysis of Trend
The 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-
0.23x
Q 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/Discussion
As 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 analysis
Nothing new
10. Achievement of Objective
Objective 1 to analyze the impairment factor in fiber optic transmission

25. Hands-on Session
 Develop a K-Chart based on your
research project

26. 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