Yeung Kai-hau, Alan. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references. / ACKNOWLEDGMENTS --- p.iv / ABSTRACT --- p.v / Chapter CHAPTER 1 --- Introduction --- p.1 / Chapter 1.1 --- The Information Age --- p.2 / Chapter 1.2 --- The Importance of Input/Output --- p.3 / Chapter 1.3 --- Redundant Arrays of Inexpensive Disks --- p.5 / Chapter 1.4 --- Outline of the Thesis --- p.7 / References --- p.8 / Chapter CHAPTER 2 --- Selective Broadcast Data Distribution Systems --- p.10 / Chapter 2.1 --- Introduction --- p.11 / Chapter 2.2 --- The Distributed Architecture --- p.12 / Chapter 2.3 --- Mean Block Acquisition Delay for Uniform Request Distribution --- p.16 / Chapter 2.4 --- Mean Block Acquisition Delay for General Request Distributions --- p.21 / Chapter 2.5 --- Optimal Choice of Block Sizes --- p.24 / Chapter 2.6 --- Chapter Summary --- p.25 / References --- p.26 / Chapter CHAPTER 3 --- Dynamic Multiple Parity Disk Arrays --- p.28 / Chapter 3.1 --- Introduction --- p.29 / Chapter 3.2 --- DMP Disk Array --- p.31 / Chapter 3.3 --- Average Delay --- p.37 / Chapter 3.4 --- Maximum Throughput --- p.47 / Chapter 3.5 --- Simulation with Precise Disk Model --- p.53 / Chapter 3.6 --- Chapter Summary --- p.58 / References --- p.59 / Appendix --- p.61 / Chapter CHAPTER 4 --- Dynamic Parity Logging Disk Arrays --- p.69 / Chapter 4.1 --- Introduction --- p.70 / Chapter 4.2 --- DPL Disk Array Architecture --- p.73 / Chapter 4.3 --- DPL Disk Array Operation --- p.79 / Chapter 4.4 --- Performance of DPL Disk Array --- p.83 / Chapter 4.5 --- Chapter Summary --- p.91 / References --- p.92 / Appendix --- p.94 / Chapter CHAPTER 5 --- Performance Analysis of Mirrored Disk Array --- p.101 / Chapter 5.1 --- Introduction --- p.102 / Chapter 5.2 --- Queueing Model --- p.103 / Chapter 5.3 --- Delay Analysis --- p.104 / Chapter 5.4 --- Numerical Examples and Simulation Results --- p.108 / References --- p.109 / Chapter CHAPTER 6 --- State Reduction in the Exact Analysis of Fork/Join Queues --- p.110 / Chapter 6.1 --- Introduction --- p.111 / Chapter 6.2 --- State Reduction For Closed Fork/Join Queueing Systems --- p.113 / Chapter 6.3 --- Extension To Open Fork/Join Queueing Systems --- p.118 / Chapter 6.4 --- Chapter Summary --- p.122 / References --- p.123 / Chapter CHAPTER 7 --- Conclusion and Future Research --- p.124 / Chapter 7.1 --- Summary --- p.125 / Chapter 7.2 --- Future Researches --- p.126

Multiple-input multiple-output (MIMO) technique in communication system has been widely researched. Compared with single-input single-output (SISO) communication, its properties of higher throughput, more e?cient spectrum and usage make it one of the most significant technology in modern wireless communications. In MIMO system, sphere detection is the fundamental part. The purpose of traditional sphere detection is to achieve the maximum likelihood (ML) demodulation of the MIMO system. However, with the development of advanced forward error correction (FEC) techniques, such as the Convolutional code, Turbo code and LDPC code, the sphere detection algorithms that can provide soft information for the outer decoder attract more interests recently. Considering the computing complexity of generating the soft information, it is important to develop a high-speed VLSI architecture for MIMO detection. The first part of this thesis is about MIMO sphere detection algorithms. Two sphere detection algorithms are introduced. The depth first Schnorr-Euchner (SE) algorithm which generates the ML detection solution and the width first K-BEST algorithm which only generates the nearly-ML detection solution but more efficient in implementation are presented. Based on these algorithms, an improved nearly-ML algorithm with lower complexity and limited performance lose, compared with traditional K-BEST algorithms, is presented. The second part is focused on the hardware design. A 4*4 16-QAM MIMO detection system which can generate both soft information and hard decision solution is designed and implemented in FPGA. With the fully pipelined and parallel structure, it can achieve a throughput of 3.7 Gbps. In this part, the improved nearly-ML algorithm is implmented as a detector to generat both the hard output and candidate list. Then, a soft information calculation block is designed to succeed the detector and produce the log-likelihood ratio (LLR) values for every bit as the soft output.

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1982. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH / Bibliography: leaves 335-336. / by Lorris Mizrahi. / M.C.P.

by Lam Hiu-fung. / "Augustr 2004." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (p. 178-182). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

Typescript (photocopy). / Digitized by Kansas Correctional Industries

In 1978, Stanislaus County took a proactive approach to food processing byproduct waste and established the Food Processing Byproduct Use Program. It allows processors to transport byproduct to local producers, where it serves as an alternative input. There is concern that the program negatively impacts local groundwater. The Regional Water Quality Control Board proposed that the County institute water monitoring which would increase program expenses. In response to this proposal, participants investigated the impact of the cost increase and some have concluded that this increase would preclude their continued involvement. They believe the program has allowed them to maintain their competitiveness and has kept them from relocating. This study investigates the economic impact of the food processors leaving the region due to a modification of the current program. Four economic impacts were studied—output, value-added, taxes, and employment. A sensitivity analysis was run to establish a range of possible value and the analysis yielded significantly higher results. It was estimated that program modification would result in significant fiscal and employment effects for Stanislaus and San Joaquin Counties. This study determined that both Stanislaus and San Joaquin Counties have a vested interest in ensuring that the program remains viable for processors.

Abstract not available

This thesis examines the existing theories and applications of Multivariate Statistical Process Control, outlines areas of difficulty and proposes a new technique of multivariate process control chart with input-output relationship for optimal process control. The process control techniques developed up to the present time focused on the fast detection of out-of-control signals, and achieved considerable success in that respect. The techniques reported on multivariate process control thus far include extensions of univariate process control charts to their multivariate counterparts, ranging from classical Shewharts charts to modern Cumulative Sum Process Control charts. Alternative approaches in this area include Principal Component Approach, Partial Regression approach, Baysian modelling and sequential tests on detection of change points. Although each method has its own limitation, these new developments have significantly contributed to the achievement of a constant high quality of products and services. The techniques of process control are yet incomplete. They require continuous attention, as production and service technologies are being continuously developed.In particular, the level of automation, re-engineering of production processes and ever demanding economic optimality of technology demand the re-engineering of statistical process control. The CFM chart developed in this thesis would open the door to this area of science and lays a critical foundation for future research / Doctor of Philosophy (PhD)

Doctor of Philosophy (PhD) / The purpose of this research is to help understand the key relationships in an evolving economic structure that are driving resource use and greenhouse gas emissions in Australia. The approach involves looking at the factors and relationships that underpin economic growth in Australia. This research seeks to understand the changes in these factors by taking a historical perspective to the determinants of environmental impact through an investigation of structural changes over a period of 30 years. A detailed model is developed using the macro-economic tool of input-output analysis. This model makes it possible to investigate inter-relationships and intra-relationships between sectors of the environment, the economy and the population at disparate scales.