by Chiang Kam-siu, Yung Kwok-keung. / Bibliography : leaf 102 / Thesis (M.B.A.)--Chinese University of Hong Kong, 1984

by Chan Kam-ming, Albert & Lee Wai-yuen. / Includes Chinese questionarie. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 46-48). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / LIST OF APPENDIXES --- p.vi / ACKNOWLEDGEMENT --- p.vii / Chapter CHAPTER I --- INTRODUCTION --- p.1 / Chapter CHAPTER II --- BACKGROUND --- p.3 / Manufacturing Industries in Hong Kong --- p.3 / Application of Computers in Hong Kong --- p.4 / Types of Computer --- p.4 / Factors Affecting Community-wide Application of Computers --- p.5 / Current Trend in Application of Computers --- p.7 / Industrial Policy of Hong Kong --- p.7 / What Has the Government Done? --- p.8 / Government's Attitude --- p.8 / Industrialists' Argument --- p.9 / Production Management Information System --- p.11 / Trend of Development of Automation in Manufacturing --- p.11 / Role of Computers in Manufacturing --- p.12 / Overview of Production MIS --- p.13 / Objectives of the Research --- p.15 / Scope of the Research --- p.16 / Significance of the Research --- p.16 / Limitations of the Research --- p.17 / Chapter CHAPTER III --- RESEARCH METHODOLOGY --- p.18 / Research Methodology --- p.18 / Sampling Procedure --- p.19 / Method of Survey --- p.19 / The Design of the Survey Package --- p.20 / Language --- p.21 / Field Work Guidelines --- p.21 / Questionnaire --- p.22 / Pretest of Questionnaire --- p.24 / Objectives of Pretest --- p.24 / Summary of Findings --- p.24 / Major Problems Encountered in Pretest --- p.25 / Chapter CHAPTER IV --- FINDINGS AND ANALYSES --- p.26 / Responses of the Survey --- p.26 / Survey Results --- p.27 / Portrait of the Respondents --- p.27 / Computer Usage Profile --- p.29 / Information Interchange --- p.32 / Production Management Information System --- p.33 / Future Plan of Production Management --- p.36 / Chapter CHAPTER V --- CONCLUSIONS AND RECOMMENDATIONS --- p.38 / Conclusions --- p.38 / Portrait of the Respondents --- p.38 / Computer Usage Profile --- p.38 / Information Interchange --- p.39 / Production Management Information System --- p.39 / Future Plan of Production Management --- p.40 / Recommendations --- p.40 / Computer Hardware/Software Marketers --- p.40 / The Government --- p.43 / Suggestions for Further Research --- p.44 / REFERENCES --- p.46 / APPENDIXES

by So, Koon Keung Teddy. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 59-60). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / ACKNOWLEDGEMENTS --- p.vii / CHAPTER / Chapter 1 --- INTRODUCTION --- p.1 / Chapter 2 --- METHODOLOGY --- p.5 / Chapter 3 --- CASE STUDY --- p.8 / Case#l --- p.8 / PL garment factory & dyeing factory / Retail chain shops / Case #2 --- p.14 / KW handbag factory / Summary --- p.17 / Chapter 4 --- GOVERNMENT REGULATION --- p.20 / Hong Kong Government Regulations --- p.20 / Chinese Government Regulations --- p.22 / Telecommunication Devices --- p.23 / Chapter 5 --- CHINESE COMPUTING SYSTEM --- p.25 / Background --- p.25 / Disk vs Card --- p.26 / Character Input Methods --- p.27 / Other Inputting Devices --- p.28 / Internal Coding System --- p.28 / Packages Developed in China --- p.29 / Printing Chinese Characters --- p.31 / The functions of Jetmate --- p.33 / Memory Management Problem --- p.35 / Suggestions / Recommendations --- p.35 / A New Solution : Chinese Windows --- p.36 / Drawbacks of Windows --- p.37 / Chapter 6 --- TELECOMMUNICATION --- p.40 / Hong Kong --- p.40 / China --- p.41 / International Private Leased Circuit --- p.42 / Video Conferencing --- p.44 / Video Telephone --- p.45 / Chapter 7 --- TRAINING --- p.47 / Language Barrier --- p.49 / Support from management --- p.50 / User-friendliness --- p.51 / Maintenance --- p.51 / Chapter 8 --- CONCLUSION & RECOMMENDATIONS --- p.53 / Chapter 9 --- REFERENCES --- p.59 / APPENDIX / Chapter 1. --- Domestic Exports to China / Chapter 2. --- Imports From China / Chapter 3. --- Re-exports to China / Chapter 4. --- Hong Kong's External Trade to China 1980 -1991 / Chapter 5. --- Average Manufactured-product Cost Breakdown / Chapter 6. --- Typical rewards of Computer Application in Manufacturing / Chapter 7. --- TL 202 : Trade Department Guide to Import and Export Licensing Requirements / Chapter 8. --- TL 202 II: Imports and Exports of Strategic Commodities / Chapter 9. --- ET Chinese Computing System Price List and Product Descriptions / Chapter 10. --- Product Descriptions of Hand Writing Recognition Devices / Chapter 11. --- IPLC Charge Rates and Service Description / Chapter 12. --- Newspaper advertisement of Video Telephone / Chapter 13. --- Product Description of Videophone2500

Kei-Keung Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 127-128). / Abstract also in Chinese. / Abstract --- p.i / Acknowledgments --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Static Portfolio Techniques --- p.1 / Chapter 1.2 --- Neural Network Approach --- p.2 / Chapter 1.3 --- Contributions of this Thesis --- p.3 / Chapter 1.4 --- Application of this Research --- p.4 / Chapter 1.5 --- Organization of this Thesis --- p.4 / Chapter 2 --- Literature Review --- p.6 / Chapter 2.1 --- Standard Markowian Portfolio Optimization (SMPO) and Sharpe Ratio --- p.6 / Chapter 2.2 --- Downside Risk --- p.9 / Chapter 2.3 --- Augmented Lagrangian Method --- p.10 / Chapter 2.4 --- Adaptive Supervised Learning Decision (ASLD) System --- p.13 / Chapter I --- Static Portfolio Optimization Techniques --- p.19 / Chapter 3 --- Modified Portfolio Sharpe Ratio Maximization (MPSRM) --- p.20 / Chapter 3.1 --- Experiment Setting --- p.21 / Chapter 3.2 --- Downside Risk and Upside Volatility --- p.22 / Chapter 3.3 --- Investment Diversification --- p.24 / Chapter 3.4 --- Analysis of the Parameters H and B of MPSRM --- p.27 / Chapter 3.5 --- Risk Minimization with Control of Expected Return --- p.30 / Chapter 3.6 --- Return Maximization with Control of Expected Downside Risk --- p.32 / Chapter 4 --- Variations of Modified Portfolio Sharpe Ratio Maximization --- p.34 / Chapter 4.1 --- Soft-max Version of Modified Portfolio Sharpe Ratio Maximization (SMP- SRM) --- p.35 / Chapter 4.1.1 --- Applying Soft-max Technique to Modified Portfolio Sharpe Ratio Maximization (SMPSRM) --- p.35 / Chapter 4.1.2 --- Risk Minimization with Control of Expected Return --- p.37 / Chapter 4.1.3 --- Return Maximization with Control of Expected Downside Risk --- p.38 / Chapter 4.2 --- Soft-max Version of MPSRM with Entropy-like Regularization Term (SMPSRM-E) --- p.39 / Chapter 4.2.1 --- Using Entropy-like Regularization term in Soft-max version of Modified Portfolio Sharpe Ratio Maximization (SMPSRM-E) --- p.39 / Chapter 4.2.2 --- Risk Minimization with Control of Expected Return --- p.41 / Chapter 4.2.3 --- Return Maximization with Control of Expected Downside Risk --- p.43 / Chapter 4.3 --- Analysis of Parameters in SMPSRM and SMPSRM-E --- p.44 / Chapter II --- Neural Network Approach --- p.48 / Chapter 5 --- Investment on a Foreign Exchange Market using ASLD system --- p.49 / Chapter 5.1 --- Investment on A Foreign Exchange Portfolio --- p.49 / Chapter 5.2 --- Two Important Issues Revisited --- p.51 / Chapter 6 --- Investment on Stock market using ASLD System --- p.54 / Chapter 6.1 --- Investment on Hong Kong Hang Seng Index --- p.54 / Chapter 6.1.1 --- Performance of the Original ASLD System --- p.54 / Chapter 6.1.2 --- Performances After Adding Several Heuristic Strategies --- p.55 / Chapter 6.2 --- Investment on Six Different Stock Indexes --- p.61 / Chapter 6.2.1 --- Structure and Operation of the New System --- p.62 / Chapter 6.2.2 --- Experimental Results --- p.63 / Chapter III --- Combination of Static Portfolio Optimization techniques with Neural Network Approach --- p.67 / Chapter 7 --- Combining the ASLD system with Different Portfolio Optimizations --- p.68 / Chapter 7.1 --- Structure and Operation of the New System --- p.69 / Chapter 7.2 --- Combined with the Standard Markowian Portfolio Optimization (SMPO) --- p.70 / Chapter 7.3 --- Combined with the Modified Portfolio Sharpe Ratio Maximization (MP- SRM) --- p.72 / Chapter 7.4 --- Combined with the MPSRM ´ؤ Risk Minimization with Control of Ex- pected Return --- p.74 / Chapter 7.5 --- Combined with the MPSRM ´ؤ Return Maximization with Control of Expected Downside Risk --- p.76 / Chapter 7.6 --- Combined with the Soft-max Version of MPSRM (SMPSRM) --- p.77 / Chapter 7.7 --- Combined with the SMPSRM - Risk Minimization with Control of Ex- pected Return --- p.79 / Chapter 7.8 --- Combined with the SMPSRM ´ؤ Return Maximization with Control of Expected Downside Risk --- p.80 / Chapter 7.9 --- Combined with the Soft-max Version of MPSRM with Entropy-like Reg- ularization Term (SMPSRM-E) --- p.82 / Chapter 7.10 --- Combined with the SMPSRM-E ´ؤ Risk Minimization with Control of Expected Return --- p.84 / Chapter 7.11 --- Combined with the SMPSRM-E ´ؤ Return Maximization with Control of Expected Downside Risk --- p.86 / Chapter IV --- Software Developed --- p.93 / Chapter 8 --- Windows Application Developed --- p.94 / Chapter 8.1 --- Decision on Platform and Programming Language --- p.94 / Chapter 8.2 --- System Design --- p.96 / Chapter 8.3 --- Operation of our program --- p.97 / Chapter 9 --- Conclusion --- p.103 / Chapter A --- Algorithm for Portfolio Sharpe Ratio Maximization (PSRM) --- p.105 / Chapter B --- Algorithm for Improved Portfolio Sharpe Ratio Maximization (ISRM) --- p.107 / Chapter C --- Proof of Regularization Term Y --- p.109 / Chapter D --- Algorithm for Modified Portfolio Sharpe Ratio Maximization (MP- SRM) --- p.111 / Chapter E --- Algorithm for MPSRM with Control of Expected Return --- p.113 / Chapter F --- Algorithm for MPSRM with Control of Expected Downside Risk --- p.115 / Chapter G --- Algorithm for SMPSRM with Control of Expected Return --- p.117 / Chapter H --- Algorithm for SMPSRM with Control of Expected Downside Risk --- p.119 / Chapter I --- Proof of Entropy-like Regularization Term --- p.121 / Chapter J --- Algorithm for SMPSRM-E with Control of Expected Return --- p.123 / Chapter K --- Algorithm for SMPSRM-E with Control of Expected Downside Riskl25 Bibliography --- p.127

Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Civil Engineering. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Bibliography : leaves 82-83. / M.S.

A new workflow model, namely multi-agent workflow model (MAWM), is proposed. The cultural dependent issues in Chinese business process modeling are considered and catered for in MAWM. Moreover, MAWM offers high flexibility in workflow modeling. / Further, the structural correctness of a process in MAWM is verified. A set of structural correctness criteria are defined and based on them a series of verification algorithms are designed. Also, we show that the verification algorithm for a single process is linear in complexity. As such, it is more efficient than contemporary algorithms, which are polynomial. / In this thesis, we have provided a starting point for organizational issues, especially cultural issues support in workflow modeling. Our research focuses on the context of Chinese business processes. Based on our study of Chinese business culture, we identified a set of desirable properties for workflows in Chinese business process modeling. / Our research has shown that there are one must cater for the cultural requirements for effective Chinese business process modeling. This aspect, however, has been undermined. MAMW is our attempt to break through this "cultural vs. technology" iceberg. / Ren Yongjie. / Source: Dissertation Abstracts International, Volume: 62-09, Section: B, page: 4086. / Supervisers: Kam-Fai Wong; Boon-Toh Low. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (p. 124-132). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest dissertations and theses, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Tsue, Wing Yeung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 94-100). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.vii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Reinforcement Learning (RL) --- p.7 / Chapter 2.1 --- Objective of RL --- p.8 / Chapter 2.2 --- Algorithms in RL --- p.9 / Chapter 2.2.1 --- Dynamic Programming --- p.9 / Chapter 2.2.2 --- Monte Carlo Methods --- p.11 / Chapter 2.2.3 --- Temporal-Difference Learning and Q-Learning --- p.12 / Chapter 2.3 --- Example: Maze --- p.13 / Chapter 2.4 --- Artificial Neural Network to Approximate Q-Function --- p.14 / Chapter 2.5 --- Literatures on Trading a Single Asset by RL --- p.16 / Chapter 2.6 --- Literatures on Portfolio Management by RL --- p.19 / Chapter 2.7 --- Summary --- p.20 / Chapter 3 --- Portfolio Management (PM) --- p.21 / Chapter 3.1 --- Buy-and-Hold Strategy --- p.22 / Chapter 3.2 --- Mean-Variance Analysis --- p.23 / Chapter 3.3 --- Constant Rebalancing Algorithm --- p.24 / Chapter 3.4 --- Universal Portfolio Algorithm --- p.25 / Chapter 3.5 --- ANTI COR Algorithm --- p.26 / Chapter 4 --- PM on RL Traders --- p.30 / Chapter 4.1 --- Implementation of Single-Asset RL Traders --- p.32 / Chapter 4.1.1 --- State Formation --- p.32 / Chapter 4.1.2 --- Actions and Immediate Reward --- p.38 / Chapter 4.1.3 --- Update --- p.38 / Chapter 4.2 --- Experiments --- p.41 / Chapter 4.3 --- Discussion --- p.47 / Chapter 5 --- RL-Bascd Portfolio Management (RLPM) --- p.49 / Chapter 5.1 --- Overview --- p.52 / Chapter 5.2 --- Two-Asset RL System --- p.54 / Chapter 5.2.1 --- State Formation --- p.55 / Chapter 5.2.2 --- Action --- p.61 / Chapter 5.2.3 --- Update Rule --- p.64 / Chapter 5.3 --- Portfolio Construction --- p.67 / Chapter 5.4 --- Choice of Window Size w --- p.70 / Chapter 5.5 --- Empirical Results --- p.73 / Chapter 5.5.1 --- "Effect of Window Size w on 1 Layer of RLPMw, and 2 Layers of RLPMW" --- p.76 / Chapter 5.5.2 --- Comparing RLPM to Other Strategies --- p.80 / Chapter 5.5.3 --- Effect of Transaction Cost A on RLPMw --- p.83 / Chapter 6 --- Conclusion --- p.89 / Bibliography --- p.94

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published_or_final_version / Civil Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / toc / Civil Engineering / Master / Master of Philosophy