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  1. 1. Research Planning  Knowing vs Doing  Implementation requires planning  Failure to plan is a plan to failure
  3. 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. 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. 5 2. Execution Literature review; Indexing of papers end notes Summary of contents Regular discussions 3. Results Results organization – indexing Results reporting
  6. 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. 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. 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. 9. Hands-on Workshop  Develop a Gantt Chart for your  research project
  10. 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
  12. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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/, 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. 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. 25. Hands-on Session  Develop a K-Chart based on your research project
  26. 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