Abstract This study is dedicated to discussing Semiconductor Industrial Cluster competitive advantages on both shores of the Taiwan Straits, and finding out Taiwan IC design industries co-competition strategies with Main Land China. The theory base on the Industrial Cluster by Michael E. Porter. The analytical tool is Diamond Structure of The Competitive Advantage of nations by Michael E. Porter. There are four dimensions¡GFactor Endowments, Demand Conditions, Firm Strategy, Structure, and Rivalry, Related and Supporting Industries, and another two factors¡G Government and Chance. The conclusions of this study are presented as follows: 1. Taiwan IC design industries must make use of Main Land China IC design resource to increase Taiwan competitive advantages. 2. For increase IC design human resource supply purpose. The industrial policy made by Taiwan government must be changed to recruit Hi-Tec engineer from Main Land China. 3. Taiwan has on geography and culture market competitive advantage, IC design industries should participate in establishing China industrial standard. 4. Build up Taiwan's own brand. 5. Build up patent alliance to increase Taiwan IC design industrial competitive advantages. 6. Globalize the enterprise-integrated resource.

Inclusion of students at all levels is a challenge. The acceptance of this challenge, however, has been mandated by the No Child Left Behind and the Individuals with Disabilities Education Improvement Act of 2004. Co-teaching is one among the service delivery models of inclusion implemented in the general education classroom (Rea & Connell, 2005; Weiss & Lloyd, 2002). This study compared the achievement of general education students in general education classes to the achievement of general education students in co-teach classes to determine if there is a significant difference in the achievement of general education students because of participation in a co-teach classroom instructional arrangement. The population of this quantitative study consisted of secondary general education students from a large suburban school district in Texas conducting science and social studies courses in both co-teach and non-co-teach classrooms. The t-test for the two independent samples was used to determine the statistical difference between the mean Science scores and the mean social studies scores of the treatment group and the comparison group on the Texas Assessment of Knowledge and Skills in science and social studies. An alpha level of .05 was used as the standard of significance on all tests. Two-way ANOVA was used to determine student achievement differences in treatment and/or comparison groups by gender, ethnicity, English language learner status, and socioeconomic status. Post-hoc analysis of the impact of ethnicity was also undertaken. Results indicate that general education students performed at higher levels in regular Science classes than in co-teach science classes. Results also concluded that general education students performed at higher levels in regular social studies classes than in co-teach social studies classes. Significant student achievement variations were also found to be correlated with each of the other variables considered. Recommendations for further research and stakeholders were provided.

Reconfigurable supercomputing has been used by many high-performance computer systems to accelerate the processing speed. Thus, it is the present trend to use the microprocessor to combine with reconfigurable FPGA as the embedded system platform. However, the hardware-software co-design and integration of embedded system become great challenges of the designer. Beside this, the communication between hardware and software is crucial for the system to be operated effectively. Our concept consists of the design of FPGA configuration, described in I-Link hardware/software integration, improve the communication among the hardware and software. Besides, by using command packet method, we put the data to multi-hardware through hardware management unit (HMU). While system is operated, The Boot Loader will set up TCB and HCB data structure through PSP. The PSP can be regarded as the important reference segment of messages switching among system and hardware/software. The HMU has data buffering and management ability which can let the processes more easy and smooth. We successfully accomplish a hardware-software integrated system in HSCP, which is developed in our laboratory. The basic components of our platform include ARM7TDMI CPU, memory and Altera ACEK 1K-100 of FPGA. By using ARM-code, we also preliminary accomplish the Boot Loader, HW Constructor and self-developed embedded system. Finally, we make use of a large amount of multiplication operation and matrix summation to verify the feasibility of this system architecture.

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Thesis (Ph. D.)--Open University. BLDSC no. DX72763/87.

Thesis (Ph. D.)--University of Texas at Austin, 1999. / Vita. Includes bibliographical references (leaves 364-374). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--University of Oklahoma, 1996. / Includes bibliographical references.

Thesis (M.B.A.)--University of Hong Kong, 1981.

Thesis (M. Sc.)--University of Hong Kong, 1978.

Since its’ invention at Morgan Stanley in 1987 pairs trading has grown to be one of the most common and most researched strategies for market neutral returns. The strategy identifies stocks, or other financial securities, that historically has co-moved and forms a trading pair. If the price relation is broken a short position is entered in the overperforming stock and a long in the underperforming. The positions are closed when the spread returns to the long-term relation. A pairs trading portfolio is formed by combining a number of pairs. To detect adequate pairs different types of data analysis has been used. The most common way has been to study historical price data with different statistical models such as the distance method. Gatev et al (2006) used this method and provided the most extensive research on the subject and this study will follow the standards set by that article and add new interesting factors. This is done through an investigation on how the analysis can be improved by using the stocks fundamental data, e.g. P/E, P/B, leverage, industry classification. This data is used to set up restrictions and Lasso models (type of regression) to optimize the trading portfolio and achieve higher returns. All models have been back-tested using S&P 500 stocks between 2001-04-01 and 2015-04-01 with portfolios changed every six months. The most important finding of the study is that restricting stocks to have close P/E-ratios combined with traditional price series analysis increases returns. The most conservative measure gives annual returns of 3.99% to 4.98% depending on the trading rules for this portfolio. The returns are significantly (5%-level) higher than those obtained by the traditional distance method. Considerable variations in return levels is shown to be created when capital commitments are changed and trading rules, transaction costs and restrictions on unique portfolio stocks are implemented. Further research regarding how analysis of P/E-ratios can improve pairs trading is suggested. The thesis has been written independently without an external client and studied an area that the author found interesting.