1 / 65

FRGS Examples

Example 1. Title: Enterprise architecture adoption and implementation in MalaysiaResearch area: Social Science and HumanitiesDuration: 24 monthsBudget: RM 50K (RA-8 months, travelling, focus group discussion, books, printer and laptop)Research backgroundWhat is EA?Present state of EAEA activities were found to be incomplete or not adequately addressed.

nika
Download Presentation

FRGS Examples

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. FRGS Examples

    2. Example 1 Title: Enterprise architecture adoption and implementation in Malaysia Research area: Social Science and Humanities Duration: 24 months Budget: RM 50K (RA-8 months, travelling, focus group discussion, books, printer and laptop) Research background What is EA? Present state of EA EA activities were found to be incomplete or not adequately addressed

    3. Example 1 Objective(s) of the Research This study embarks on the following objectives: To assess EA activities in Malaysian organizations, both public and private, in terms of concerted efforts to align IT and business To investigate the importance of EA in addressing business issues To investigate the EA environment in terms of location, business area, people, governance, laws and regulations, type of architecture, methods, tools and frameworks To make recommendation of policy implications based on trends in the adoption and implementation of EA in Malaysia

    4. Example 1 Methodology 1. Description of Methodology Survey type questionnaire sampling technique and sample size respondents data analysis and test

    5. Example 1 2. Flow Chart of Research Activities (Appendix A)

    6. Example 1 3. Gantt Chart of Research Activities (Appendix B)

    7. Example 1 Milestones and Dates Observation and prelimenary study 6 weeks (May 2007 July 2007) Questionnaire design 4 weeks (July 2007 Aug 2007) Pilot study 4 weeks (Sept 2007 Oct 2007) Survey (Unit of Analysis 1) 8 weeks (Nov 2007 Jan 2008) Survey (Unit of Analysis 2) 8 weeks (Feb 2008 Apr 2008) Data Analysis 4 weeks (May 2008 June 2008) Preparation of Report 6 weeks (July 2008 Sept 2008) Presentation and Submission of Final Report (Oct 2008 Nov 2008)

    8. Example 1 Expected Results/Benefit New findings/Knowledge of EA in the Malaysian context Research publications/Seminars national and international conferences and journals Specific or Potential Applications Guideline on policies for Government and private sectors Number of PhD and Masters (by research) Students 1 PhD/1 Master

    9. Example 2 Title: Multilevel optimization for dense motion estimation Research area: Pure science Duration: 12 months Budget: RM 45.5K (RA-9 months, travelling, server, scanner, video camera, hard disk) Research background Automated processing of image sequences Optical flow estimation Strategies for numerical minimizing

    10. Example 2 Objective(s) of the Research This study embarks on the following objectives: To design a fast and robust solver for optical flow computation based on multilevel optimization ideas. To explore how significant is the approach of discretize-minimize with respect to minimize-discretize that has been widely used for variational optical flow computation. To investigate application in the context of spatio-temporal image interpolation.

    11. Example 2 Methodology 1. Description of Methodology To accomplish our objectives, the research will be divided in three phases. The first phase will be centred on developing the theoretical framework for the proposed algorithms and models, the second in addressing the numerical implementation of different optical flow models using these algorithms, and finally, the last one will focus on some related applications. Each of them is discussed next. Description of the phases

    12. Example 2 Flow Chart of Research Activities (Appendix A)

    13. Example 2 3. Gantt Chart of Research Activities (Appendix B)

    14. Example 2 Milestones and Dates Developing theoretical framework for the proposed multilevel optimization algorithms and optical flow models: April 2010 August 2010 Numerical implementation including code validation on a benchmark of synthetic and real images: August 2010 October 2010. Applications to some image processing problems related to optical flow: October 2010 December 2010. Preparation of report: October 2010 Feb 2011 Presentation and submission of final report Feb 2011 April 2011

    15. Example 2 Expected Results/Benefit Novel theories/New findings/Knowledge Multigrid optimization techniques will be used here in this project for the first time for a computer vision problem and particularly for motion estimation. ..... Research Publications Our aim is to write three main international journal papers and at least 3 national / international proceedings Specific or Potential Applications Two example of the potential use of fast optical flow computation is medical image registration and temporal image interpolation.. ..... Number of PhD and Masters (by research) Students 2 master student.

    16. Example 3 Title: A new ant based rule extraction algorithm for text classification Research area: Technical and engineering Duration: 12 months Budget: RM 52K (RA-7 months, travelling, focus group discussion, books, printer and laptop) Research background Ant colony optimization (ACO) and ACO algorithm Rule extraction Text classification Data mining

    17. Example 3 Objective(s) of the Research The main objective of this research is to develop a new ant based rule extraction algorithm for web classification. Specific objectives that have to be fulfilled to ensure that the main objective of the study could be met are: 1) to create web documents data sets 2) to propose a new heuristic function for terms selection 3) to develop new ant pheromone update technique 4) to develop and validate the new rules extraction algorithm 5) to formulate rules for classifying web documents

    18. Example 3 Methodology 1. Description of Methodology The experimental methodology with the adoption of the deductive approach in formulating the algorithm will be undertaken to solve the problem in this research. There are four (4) phases in this research. Description of the phases

    19. Example 3 2. Flow Chart of Research Activities (Appendix A)

    20. Example 3 3. Gantt Chart of Research Activities (Appendix B)

    21. Example 3 Milestones and Dates

    22. Example 3 Expected Results/Benefit Novel theories/New findings/Knowledge New rule extraction algorithm Research Publications 3 articles published in proceedings of local and international conferences 4 articles in international journals. Specific or Potential Applications Case study for teaching purposes Number of PhD and Masters (by research) Students 1 doctorate degree student and 2 master degree student.

    23. Example 4 Title: Development of virtual cellular manufacturing system algorithm in dual-resource constraint Research area: Technology and engineering Duration: 24 months Budget: RM 65K (GRA-12 months, travelling, professional services) Research background Cellular manufacturing system Virtual cell formation algorithms Types of resources in virtual cellular manufacturing

    24. Example 4 Objective(s) of the Research This study embarks on the following objectives: To develop a new concept in designing distributed layout machine capabilities To develop a new algorithm based on the new concept for formation of VCM system To evaluate and analyze the performance of the proposed algorithm

    25. Example 4 Methodology 1. Description of Methodology Developing a new concept to generate a distributed layout Generate VCM based on distributed layout in DRC setting using meta-heuristic algorithm with minimum material handling distance, balanced lines and multi-functional workers Testing the algorithms based on the mathematical model Evaluate and analyze the performance of VCM and compare to classical CMS

    26. Example 4 Milestones and Dates A new method to create a distributed layout: May 2011 Generation VCM over the made distributed layout in DRC setting: August 2011 A heuristic method to solve the mathematical model: October 2011 Project completion: December 2011

    27. Example 4 Expected Results/Benefit Novel theories/New findings/Knowledge A new concept in creating distributed layout a new algorithm for formation of VCM system Research Publications Two cited journal papers and 3 conference papers in national and international conferences Specific or Potential Applications - Number of PhD and Masters (by research) Students 1 PhD student

    28. Example 5 Title: Non-Cement Concrete Composite Binder (NCCCB) from Malaysias Industrial By-products and Biogenic Wastes. Research area: Technical and Engineering Duration: 24 months Budget: RM 99K (GRA-2 4 months, travelling, raw material Research background Concrete production Carbon dioxide emission Production of new binder using local waste material to reduce carbon dioxide emission

    29. Example 5 Objective(s) of the Research This study embarks on the following objectives: To investigate the possibility of producing a Non-Cement Concrete Composite Binder (NCCCB) with 100% local industrial by-products (slag) and biogenic wastes (rice husk ash, timber fly ash and palm oil fuel ash). To assess the new mechano-chemical activation technique for producing composite binder without going through the calcination and clinkering stage as OPC does and thus reducing CO2 emission to the environment from cement production. To make recommendations based on the new findings on production of Non-Cement Concrete Composite Binder.

    30. Example 5 Methodology Description of Methodology Collection and Characterization of Industrial and Biogenic Wastes. i. At first, survey of various sources of biogenic wastes and industrial by-products will be carried out. Then physical and chemical properties of rice husk ash, palm oil fuel ash, timber fly ash, and slag will be determined using appropriate tests. ii. Based on the results of survey, physical and chemical tests, sources of wastes will be confirmed. Then required amount of wastes will be collected from these sources.

    31. Example 5 Evaluation of New Mechano-chemical Activation Technique The selected industrial and biogenic wastes will be mixed at various proportions. Then the mixes will be subjected to mechano-chemical activation using ball mill. They will be subjected to variation of duration, speed, and number and size of balls in the ball mill to get the optimum fineness. The limits for using various wastes will also be determined. These fineness and properties will be compared with those of ordinary portland cement.

    32. Example 5 Testing and Evaluation of NCCCB Composition First, the properties of NCCCB composition will be evaluated using x-ray diffraction (XRD) and scanning electron microscopy (SEM). The results will be compared with those of OPC. Then the NCCCB paste will be tested for setting times and flow properties. After that, the mortar of NCCCB will be tested for compressive strength. The results will be compared with those of OPC. From these comparisons, the possibility of making new NCCCB will be ascertained. Analysis and Reports During this testing time, a lot of data will be gathered. Later analysis of these data will be done and the findings of the research will be extensively reported. From all the findings of the research, recommendations on the production of quaternary blended NCCCB will be made.

    33. Example 5 2. Flow Chart of Research Activities (Appendix A)

    34. Example 5 3. Gantt Chart of Research Activities (Appendix B)

    35. Example 5 Milestones and Dates Milestone-1: Characterization of wastes. Date: November, 2010. Milestone-2: Evaluation of mechanochemical activation technique. Date: March, 2011. Milestone-3: Setting time and compressive strength of NCCCB. Date: August, 2011. Milestone-4: Final evaluation and recommendation on NCCCB. Date: December, 2011.

    36. Example 5 Expected Results/Benefit Novel theories/New findings/Knowledge New type of non-cement concrete composite binder (NCCCB) will be developed that can be used instead of ordinary portland cement in production of concrete. Research Publications Findings of the research will be extensively reported and published in the national and international journals, conference proceedings, and will be presented in seminars/workshops.

    37. Example 5 Specific or Potential Applications It is believed that quaternary blended non-cement concrete composite binder (NCCCB) could significantly contribute to achieving the needed balance between the industrys quest for high-performance products and the increasingly restrictive environmental regulations. Synergistic effects could allow individual component ingredients in such blends to compensate for their mutual shortcomings, furthering the extent of the use of environmentally efficient binders and promoting their field implementation. NCCCB will provide a unique opportunity to produce environmentally-friendly concrete with tailor-made properties, and may indeed constitute the next generation of binder products. Number of PhD and Masters (by research) Students PhD Student: One Masters Student (by research): One

    38. Example 6 Title: An enhanced dynamic job scheduling algorithm based on ant system in computational grid. Research area: Technical and Engineering Duration: 12 months Budget: RM 55K (GRA-9 months, travelling, computer) Research background Ant colony optimization Grid computing Job scheduling

    39. Example 6 Objective(s) of the Research Main objective To develop an enhanced ant-based optimization algorithm for dynamic scheduling of jobs in the computational grid environment. Specific objectives of the research are: To formulate the local and global pheromone update functions To formulate the resource selection function To construct a dynamic scheduling algorithm that consists of the pheromone update functions and resource selection function To develop a simulation model that can be used to simulate the dynamic grid environment and evaluate the performance of the proposed ant-based job scheduling algorithm

    40. Example 6 Methodology Description of Methodology There are 4 phases in this research First phase Formulate Pheromone Update Functions The basic mathematical functions for local and pheromone update . Second phase Formulate Resource Selection Function The function will be used to select the optimal resource to process a .

    41. Example 6 Third phase Construct dynamic scheduling algorithm The algorithm for the dynamic scheduling of jobs will be constructed. Fourth phase Develop Simulation Model A computer simulation model will be developed to test the proposed algorithm. .

    42. Example 6 2. Flow Chart of Research Activities

    43. Example 6 3. Gantt Chart of Research Activities (Appendix B)

    44. Example 6 Milestones and Dates

    45. Example 6 Expected Results/Benefit Novel theories/New findings/Knowledge Pheromone update functions and resource selection function Ant based algorithm for dynamic scheduling of jobs in grid system Simulation model for the dynamic scheduling of jobs in grid system Research Publications 4 articles published in proceedings of local and international conferences 2 articles in international journals. Specific or Potential Applications Number of PhD and Masters (by research) Students 1 master student by research

    46. Example 7 Title: A new corporate efficiency performance measurement model based on data envelopment analysis technique Research area: Social science Duration: 12 months Budget: RM 50K (GRA-12 months, travelling, computer) Research background Corporate performance Data envelopment analysia Efficiency measurement model

    47. Example 7 Objective(s) of the Research The main objective of this study is to develop a new generic efficiency measurement model that can be used across several different industry sectors. Specific objectives are: To identify decision making unit and efficiency indicators based on industry sector. To formulate efficiency measurement models for each industry sector. To formulate a new generic efficiency measurement model for all industry sector To develop the efficiency measurement prototype.

    48. Example 7 Methodology Description of Methodology Research design The study will use qualitative method (interview, brainstorming and literature review) to identify decision making unit and appropriate efficiency indicators for measuring the company performance. Indicators for input and output for the efficiency measurement model will be determined and model will be developed based on DEA approach. Data from selected PLCs will be collected and analyze using the developed model and efficiency score for the companies will be produced. Research sample Instrumentation Analysis Prototype development

    49. Example 7 3. Gantt Chart of Research Activities (Appendix B)

    50. Example 7 Milestones and Dates

    51. Example 7 Expected Results/Benefit 1. Novel theories/New findings/KnowledgeGeneric efficiency measurement model for all industry sector Research Publications 4 articles published in proceedings of local and international conferences 2 articles in international journals. 3. Specific or Potential Applications . This model will help many parties (management , auditors, investors, creditors and securities commission) in performing their functions. The company financial distress can be identified at the early stage. 4. Number of PhD and Masters (by research) Students1 Master student by research

    52. Example 9 Title: Multilevel optimization for dense motion estimation Research area: Pure science Duration: 12 months Budget: RM 45.5K (RA-9 months, travelling, server, scanner, video camera, hard disk) Research background Automated processing of image sequences Optical flow estimation Strategies for numerical minimizing

    53. Example 9 Objective(s) of the Research This study embarks on the following objectives: To design a fast and robust solver for optical flow computation based on multilevel optimization ideas. To explore how significant is the approach of discretize-minimize with respect to minimize-discretize that has been widely used for variational optical flow computation. To investigate application in the context of spatio-temporal image interpolation.

    54. Example 9 Methodology 1. Description of Methodology To accomplish our objectives, the research will be divided in three phases. The first phase will be centred on developing the theoretical framework for the proposed algorithms and models, the second in addressing the numerical implementation of different optical flow models using these algorithms, and finally, the last one will focus on some related applications. Each of them is discussed next. Description of the phases

    55. Example 9 Flow Chart of Research Activities (Appendix A)

    56. Example 9 3. Gantt Chart of Research Activities (Appendix B)

    57. Example 9 Milestones and Dates Developing theoretical framework for the proposed multilevel optimization algorithms and optical flow models: April 2010 August 2010 Numerical implementation including code validation on a benchmark of synthetic and real images: August 2010 October 2010. Applications to some image processing problems related to optical flow: October 2010 December 2010. Preparation of report: October 2010 Feb 2011 Presentation and submission of final report Feb 2011 April 2011

    58. Example 9 Expected Results/Benefit Novel theories/New findings/Knowledge Multigrid optimization techniques will be used here in this project for the first time for a computer vision problem and particularly for motion estimation. ..... Research Publications Our aim is to write three main international journal papers and at least 3 national / international proceedings Specific or Potential Applications Two example of the potential use of fast optical flow computation is medical image registration and temporal image interpolation.. ..... Number of PhD and Masters (by research) Students 2 master student.

    59. Example 3 Title: A new ant based rule extraction algorithm for text classification Research area: Technical and engineering Duration: 12 months Budget: RM 52K (RA-7 months, travelling, focus group discussion, books, printer and laptop) Research background Ant colony optimization (ACO) and ACO algorithm Rule extraction Text classification Data mining

    60. Example 3 Objective(s) of the Research The main objective of this research is to develop a new ant based rule extraction algorithm for web classification. Specific objectives that have to be fulfilled to ensure that the main objective of the study could be met are: 1) to create web documents data sets 2) to propose a new heuristic function for terms selection 3) to develop new ant pheromone update technique 4) to develop and validate the new rules extraction algorithm 5) to formulate rules for classifying web documents

    61. Example 3 Methodology 1. Description of Methodology The experimental methodology with the adoption of the deductive approach in formulating the algorithm will be undertaken to solve the problem in this research. There are four (4) phases in this research. Description of the phases

    62. Example 3 2. Flow Chart of Research Activities (Appendix A)

    63. Example 3 3. Gantt Chart of Research Activities (Appendix B)

    64. Example 3 Milestones and Dates

    65. Example 3 Expected Results/Benefit Novel theories/New findings/Knowledge New rule extraction algorithm Research Publications 3 articles published in proceedings of local and international conferences 4 articles in international journals. Specific or Potential Applications Case study for teaching purposes Number of PhD and Masters (by research) Students 1 doctorate degree student and 2 master degree student.

More Related