Since 1990 Porter has advert the conception that cluster could improve the competitive strength of textile industry, it has arouse highly attention of academe, also a lot of developed countries took this appearance of assemblage policy as the development policy for their industries. The textile industry of Taiwan has been developed around 50 years ago, in nearly years, ascribe to the rise of cost, the value of export continually decrease and the increase of abroad competitors, the textile industry has been considered as a declined industry. However, according to the research it¡¦s still one of the most important industry which can create a lot of foreign exchange; on 2001 Council For Economic Planning And Development has planned to build a silk and filament district in Yunlin particular for the textile industry , for assemble the textile industry and push Taiwanese industries into the textile center of Asia-pacific. According to this research we would like to know how the cluster strategy could improve the development of textile industry in Taiwan. Mainly use Location Quotient analysis to know if the textile industry is the most important basal industry in this area, and with all the related documents we could realist the crux element of the development of cluster strategy, then we could have talk with related industries and companies, in this way we may have a complete view of the whole situation in this industry and the project of having this special area. The combination of above descriptions, we could understand this special area of the textile industry and the production environment, find out the lack part and create a millennium for the development of textile industry. The result of this research discovered that according to the analysis of this industry, the textile industry has highly central tendency and it is the main industry of this area; but according to the crux element of the development, it does not have strong enough connection between local companies and it does not have good enough interactive with schools in this area, it may cause the lack of talent people, knowledge and research. In the future, it is going to be a very important issue that we have to consider about, aggrandize the connection between the local companies and the interactive with schools.

Since the speedy popularity of Internet infrastructure and explosive increasing of World Wide Web services, a lot of traditional companies had web-enabled their business over Internet and used WWW as their application platform. Those web services, such as the on-line search, e-learning, e-commence, multimedia, network service, e-government etc., need a stable and powerful web server to support the huge capability. The web hosting service becomes increasingly important in which the service providers offer system resources to store and to provide Web access to contents from individuals, institutions, and companies, who lack resources or expertise to maintain their Web site. Web server cluster is a popular architecture used by the hosting service providers as a way to create scalable and highly available solutions. However, hosting a variety of contents from different customers on such a distributed server system faces new design and management problems. This dissertation describes the work pursuing for constructing a system to address the challenges of hosting Web content on a server cluster environment. Based on the achievement of the software-based content-aware distributor, some high repetition and fixity tasks originally treated by software module are delivered to hardware module for speeding up the packet processes and for sharing the loads on the software module. Our software-based distributor is implemented in Linux kernel as a loadable module. A few system calls in user level are built to support the integration of resource management.

Negotiation is one of the key elements in the business activity. Traditional approach to negotiation takes place in a face-to-face environment. E-negotiations present all or part of the negotiating processes through the electronic media or digital channels, to transfer data or to help to achieve better negotiation effects. With the rapid development in E-Commerce, the Internet has becoming an important and inevitable channel of trade and business communication, as well as E-negotiations. Therefore, E-negotiation is progressively popularized and valued. In addition to assisting in communication and decision, the other significant contribution to adopt e-negotiation is to collect the complete and detailed data in every negotiation process, as well as the result. We are able to have clearer understanding in negotiation behavior through analyzing the negotiation behavior data, and therefore will be able to proceed to construct the theory of negotiation. The purpose of negotiations is to successfully agree on, explore which negotiation strategies minister to agreements, and to obtain more knowledge in achieving successful negotiations. Likewise, this is the purpose of this research. Inspire is the first web-based e-negotiation system, and built in 1996. The data collected by this system include users¡¦ demographic data, system usage, offers and counter offers, final agreements, strategy adopted, utility values, and so on. This research has collected 700 pairs of one-to-one negotiation activity records from Inspire negotiation support system, and has grouped negotiators into two groups, cooperative and non-cooperative, using the clustering analysis technology. These two groups manifest differences in the aspects of negotiation outcome and negotiation strategy.

In the era of knowledge-based economy, learning to learn and how to learn is crucial, and learning becomes a fundamental process for local development. Knowledge can be divided into two categories as the codified and tacit knowledge. For a local economy, tacit knowledge can not be traded easily as it is local advantages in the globalized age. Geographical proximity makes face-to-face communication essential, and it is important for the interactive learning. In addition, it also needs an institutional milieu that is advantageous to the innovation activities, and then a learning region comes to a fore. In this regard, the study aims to exam a learning region on textile industry with the case study in Tainan area. Via face-to-face interviews of the textile participators, the results show that the textile firms in Tainan area are supported by sharing a common social and cultural background. Social network helps the collective learning more effectively. The innovation activities derive from firms come from firms of supply chain, R&D institutes and business associations. However the connections within the firms of the same business, university and local government are limited, which weakens the learning of tacit knowledge and the creation of the synergy. To strengthen the learning mechanism for institutional thickness and learning region is suggested to the textile cluster in Tainan.

Due to the transformation of worldwide economy focus to Asia, many multinational corp. put resources to the eastern market, which is blooming very fast especially in Mainland China. By considering the potential hudge market, plenty of labor supply, and the future investments from the strategic point of view, so, a lot of MNCs aggressively invest in Asia & China directly in order to find the better position. But it seems that Taiwan is out of this great mass fervor. This research is based on a case study by a special chemical company. It contains the discussion of current investment projects among Asia and the interviews with many top managers. This analysis is according to Porter¡¦s diamond model, the influence of industry cluster, the organization & control model of MNC between the parent company and the subsidiary and the industry analysis, to see whether there are influences for the future developments of subsidiary in TW. Based on the result of intetrviews and the cross check with the theories, here are some conclusions. 1.There are some influences for the project selection and development strategy for the subsidiary based on the adopted organization especially for the relationship between parent ompany and the subsidiary and the control model. The subsidiary needs to have the visible exposure in the organization. It¡¦s better to have some internal speakers for the subsidiary to do the internal public relationship. 2.The key factors for considering about the investment are depending on industries. In chemical industry, the most important criteria are the cost & the source of raw materials, the market place and the quality of human resource not the cost of human resource. 3.In future, the Taiwaness industries could not compete with the others by mass productions. They need to differentiate themselves or to upgrade the ndustry. The strategy of the subsidiary of MNC in TW is also need to be adopted. 4.The working people in MNC TW need to compete with the others. They need to have the basic capability of communication, profession and the second speciality. Teamwork spirit and the enjoying in the work are welcomed. 5.The government has the responsibility to build up the fair and competitive investment environment to attract the foreign investment to form the industry clustries, in order to keep the growth force of economy.

This research aims at studying the relationship between the satisfaction on class cluster classroom reflected by teachers in elementary school and its management performance, the main purposes include: 1. To further investigation and study on the basic concept and related theories of class cluster classroom design with open space. 2. To understand the current status of class cluster classroom in Kao-ping area which adopts open space design and the class management performance run by teachers on the class cluster classroom which adopts open space design. 3. To study and analysis on the differences of the satisfaction and the class management performance of class cluster classroom, which adopts open space, reflected by teachers of different background variables. 4. To investigate the relationship and forecasting between the cluster classroom satisfaction and the class management performance reflected by teachers in the elementary school. 5. Suggestions will be proposed based on the study results so as to be used by teachers who practically operate and apply class cluster classroom of open space and by persons who are going to perform planning on school building of open space in the elementary school. ¡§Questionnaire survey¡¨ will be the main method used in this study, the sampled targets will be from all the teachers, who adopt open space in designing class cluster classroom, in the schools of Kaohsiung City, Kaohsiung County and Pingtung County; the number questionnaires are about 356 copies and a total of 310 effective questionnaires are recycled. The research tool in this study is self-developed ¡§A questionnaire on the relationship between class cluster classroom with open space design and the class management performance¡¨, statistical methods used include: descriptive statistical analysis, independent sample t test, single factor ANOVA (analysis on variance), Pearson product-moment correlation, stepwise multiple regression analysis, etc. The following conclusions are derived based on the results of this study: 1. Teachers have above-average evaluation on class cluster classroom with open space design. 2. Class cluster teachers in elementary schools have higher class management performance. 3. For teachers in Kaohisung city, teachers with part-time administrative duties, teachers in L shape class cluster module or teachers with 2 years (included) or below of teaching experiences in this school show higher satisfaction on the class cluster classroom adopting open space design. 4. For teachers in schools of Kaohsiung city, in schools of L shape and ¡§Arc¡¨ shape class cluster modules,all show better class management performance. 5. Class cluster classrooms adopting open space design is helpful in improving class management performance. 6. Among all background variables such as teacher¡¦s background, class cluster classroom adopting open space design, etc., ¡§city of school served¡¨ and ¡§accessory equipment and space¡¨ have the highest forecasting power on the class management performance of teachers. The researcher of this study would like to propose the following suggestions based on the findings and conclusions of this study: 1. To improve school space to drive the core engine of educational reform. 2. To need government¡¦s policy support to activate space function of campus. 3. To let the users to participate so as to inspire the idea of like-to-teach and like-to-learn. 4. To build appropriate space to inspire innovative momentum of teachers. 5. To take good use of space resource to realize class management synergy. 6. To continue research and evaluation and continue the dialogue between people and space. 7. Future research study: to include suggestions on research aims, tools and methods.

Abstract The development of Taiwan automotive industry has the long history. The output of Taiwanese automotive component industry had reached the new peak in 2002, after that the new highest record in history is that the output reaches NT 171,400 million. We found a lot of studies are about automotive industry not automotive component industry. Therefore, this study probes into the network relation among industries, the state in the network¡Ketc. which are important factors to explain these relations in the automotive component industry. This study used the view of the Learning Region to integrate the diversifying point of innovate learning and network relation¡Xlocation factors, learning systems and network relations that research innovate learning and real learning systems in Taiwanese automotive component industry. This study found Taiwanese automotive component industry possesses close geography so that auto makers and automotive component firms have the common competitiveness foundation and production system, manufacturing infrastructure are their common foundations. Because automotive makers are so near to supply help and this long-term relation formed a close industry network. The innovate learning activities of Taiwan auto parts firm are student system, production innovation mechanism, and cooperation with others departments of intra-firm, cooperation with suppliers and consumer¡¦s industries among the industries of the learning mechanisms, but other learning mechanisms (e.g. seminar, university, and administrative center of industrial area )didn¡¦t have high relations that weakens the learning of tacit knowledge and the creation of the synergy. It is easy to replace by other regions under the global competition. How to strengthen the learning mechanism of the innovative activity on the basis of original industry network to achieve the stronger system will be a challenge for automotive component industries to develop the learning region.

Abstract The near shore water intake pollutants from the land area and is heavily polluted. In order to assess such impact efficiently, the focus of marine environmental monitoring is shifting from inspecting pollutants in a water body to the measurement of pollutants adhered to sediments on seabed. The statistical methods are then used to analyze survey data for the purpose of interpretation. As for the problem of identifying the spatial distributions of classified pollutants over the water around Kaohsiung harbor, the result from the commonly used K-Means Cluster Analysis is not very satisfactory. It is therefore that the proposed research is trying to use the Fuzzy Cluster Method (FCM) to achieve better results. Through adaptive searching approach, the FCM should be able to generate the appropriate cluster centers for discerning the pollutants¡¦ spatial distribution, which in turn would convey more meaning to support feasible interpretation. The FCM model developed by this research will also help to trace the most suspicious or new pollutant source with the assistance from the domain expertise if an unusual pollutant were found in the study area. The benefit is therefore obvious that the authority in charge of marine environment can respond efficiently and correctly against such pollution event and take appropriate actions. FCM has been heavily applied to the research on computer vision and pattern recognition with great success. Recently quite amounts of literatures in the environmental and natural resource management study, including geo-statistical modeling, pollution mitigation, and groundwater quality management, have probed into the applications of cluster analysis using FCM. The problems of marine environment are highly complex and full of uncertainty in nature. Nevertheless by introducing advanced analysis techniques, such as FCM, for tackling such problems, the overall managerial efficiency of marine environment will be improved.

Abstract With the economic growth as well as the advent of the post-industry age in the 21st century, a variety of investment patterns for people to employ progressively appear. Moreover, there is a tendency in which people¡¦s traditional and conservative manners for investments gradually transform into aggressive ones with a preference of risks. For instance, it has been impossible nowadays for certain simple finance-managing mechanisms, such as the Certificate of Deposit, the Bond or even Stock Markets, to satisfy general investors¡¦ needs. Therefore, more and more financial products have become available, especially a lot of derivative securities like options, futures, or stock options. Furthermore, the activities of horseracing, dog racing or even lottery are no longer taboos in Taiwan. As far as the lotteries in most of the counties are concerned, the government is usually the main host, regarding them as additional effortless sources of tax revenue. During the earlier periods in Taiwan, the only lottery available was the national ¡§Ai-Guo¡¨ lottery issued by the government. Unfortunately, a lot of unlawful gambling gangs took advantage of the popularity of ¡§Ai-Guo¡¨ lottery by utilizing it as the sources of the so-called ¡§Da-Jia-Le¡¨ lottery, which was an illegal, yet popular underground gambling activity. The ¡§Da-Jia-Le¡¨ lottery not only corrupted the social values and caused a lot of criminal actions, but also made an acute and serious impact on regular economic operations. Consequently, the government resolutely called a halt on the ¡§Ai-Guo¡¨ lottery. Nevertheless, the prevailing gambling mania did decline; on the contrary, it further transformed into a covert and under-the-counter gambling operation attached to the Hong Kong lottery. The craze almost swept the entire country, resulting in more and more social problems and having troubled the authorities for a long period of time. To settle such a predicament, government decided to refer to the experiences of other countries, beginning to launch local lotteries in Taiwan, instead of prohibiting people from attending illicit gambling activities. On the one hand, the government would be able to set the lottery business back on right track and eliminate the root of the underground economic operations, which brought about many social problems. On the other hand, the local lottery would provide extra tax revenue for the administrations as well as more employment opportunities for handicapped people. Accordingly, Taiwanese Lottery was launched in the beginning of the year 2002. Until now, mainly due to the attraction of the surprisingly huge bonus shares offered by the lottery¡¦s highest prize, the public response is overwhelming. The social environment in which the stochastic investment actions become authorized and gradually prevail directly triggers the motivation of this research in further investigating the feasibility of the investment. The research takes Taiwan Public Welfare Lottery as an investment research case, exploring the game rules of lottery in an attempt to enhance the probability of winning prizes and further testing and evaluating the effectiveness of various simple biting tools adopted by the general public in order to obtain the most effective biting ways for individual investor¡¦s reference. The process of this study is as follows: 1. Testing the randomness of the winning prize numbers in Taiwan Public Welfare Lottery. 2. Estimating the possible distribution of the population via the statistical application. 3. Using the cluster analysis to induce the sub-cluster of the selected numbers according to the patterns of the historical prize numbers. 4. Making use of Markov Chain to select the sub-cluster, which is within an investor¡¦s upper limit of risks. And consequently, this study reveals the followings: 1. The winning prize numbers are random within study samples. 2. The statistic order of the winning prize numbers is £] distribution. 3. The cluster effect is slightly enhanced when the sub-cluster is chosen through the cluster analysis rather than random ways. 4. The application of Markov Chain has an obvious reinforcement on the selection of sub-cluster. 5. The so-called ¡§Smart Package Biting¡¨, which is adopted by the general public, cannot improve the winning possibility; however, depending on individual investor¡¦s needs, it could be a useful tool for risk management. Through a seemingly aimless random event, the research explores the possible development of the modeling process, so as to comprehend and experience a manager¡¦s mental course on decision making in a dynamic, capricious or even chaotic managerial environment.

Under the Clean Water Act (CWA) program the Texas Commission on Environmental Quality (TCEQ) listed 110 stream segments with pathogenic bacteria impairment in 2000. The current study was conducted to characterize the watersheds associated with the impaired waterbodies. The main characteristics considered for the classification of waterbodies were designated use of the waterbody, land use distribution, density of stream network, average distance of a land of a particular use to the closest stream, household population, density of on-site sewage facilities (OSSF), bacterial loading due to the presence of different types of farm animals and wildlife, and average climatic conditions. The availability of observed in-stream fecal coliform bacteria concentration data was evaluated to obtain subgroups of data-rich and data-poor watersheds within a group. The climatic data and observed in-stream fecal coliform bacteria concentrations were analyzed to find out seasonal variability of the water quality. The watershed characteristics were analyzed using the multivariate statistical analysis techniques such as factor analysis/principal component analysis, cluster analysis, and discriminant analysis. Six groups of watersheds were formed as result of the statistical analysis. The main factors that differentiate the clusters were found to be bacterial contribution from farm animals and wildlife, density of OSSF, density of households connected to public sewers, and the land use distribution. Two watersheds were selected each from two groups of watersheds. Hydrological Simulation Program-FORTRAN (HSPF) model was calibrated for one watershed within each group and tested for the other watershed in the same group to study the similarity in the parameter sets due to the similarity in watershed characteristics. The study showed that the watersheds within a given cluster formed during the multivariate statistical analysis showed similar watershed characteristics and yielded similar model results for similar model input parameters. The effect of parameter uncertainty on the in-stream bacterial concentration predictions by HSPF was evaluated for the watershed of Salado Creek, in Bexar County. The parameters that control the HSPF model hydrology contributed the most variance in the in-stream fecal coliform bacterial concentrations corresponding to a simulation period between 1 January 1995 and 31 December 2000.