Bergkvist insjön AB is a sawmill yard which is capable of producing 350,000 cubic meter of timber every year this requires lot of internal resources. Sawmill operations can be classified as unloading, sorting, storage and production of timber. In the company we have trucks arriving at random they have to be unloaded and sent back at the earliest to avoid queuing up of trucks creating a problem for truck owners. The sawmill yard has to operate with two log stackers that does several tasks including transporting the logs from trucks to measurement station where the logs will be sorted into classes and dropped into pockets from pockets to the sorted timber yard where they are stored and finally from there to sawmill for final processing. The main issue that needs to be answered here is the lining up trucks that are waiting to be unload, creating a problem for both sawmill as well as the truck owners and given huge production volume, it is certain that handling of resources is top priority. A key challenge in handling of resources would be unloading of trucks and finding a way to optimize internal resources.To address this problem i have experimented on different ways of using internal resources, i have designed different cases, in case 1 we have both the log stackers working on sawmill and measurement station. The main objective of having this case is to make sawmill and measurement station to work all the time. Then in case 2, i have divided the work between both the log stackers, one log stacker will be working on sawmill and pocket_control and second log stacker will be working on measurement station and truck. Then in case 3 we have only one log stacker working on all the agents, this case was designed to reduce cost of production, as the experiment cannot be done in real-time due to operational cost, for this purpose simulation is used, preliminary investigation into simulation results suggested that case 2 is the best option has it reduced waiting time of trucks considerably when compared with other cases and it showed 50% increase in optimizing internal resources.

Optimizing database systems to achieve the maximum attainable throughput of the underlying hardware is one of the many difficult tasks that face Database Administrators. With the increased use of database systems in many environments, this task has even become more difficult. One of the parameters that needs to be configured is the number of worker tasks that the database server uses (the multiprogramming level). This thesis will focus on how to automatically adjust the number of database server worker tasks to achieve maximum throughput under varying workload characteristics. The underlying intuition is that every workload has an optimal multiprogramming level that can achieve the best throughput given the workload characteristic.

We outline a novel technique that maps the satisfiability problems of second-order logics, in particular WSnS (weak monadic second-order logic with n successors), S1S (monadic second-order logic with one successor), and of μ-calculus, to the problem of query evaluation of Complex-value Datalog queries. In this dissertation, we propose techniques that use database evaluation and optimization techniques for automata-based decision procedures for the above logics. We show how the use of advanced implementation techniques for Deductive databases and for Logic Programs, in particular the use of tabling, yields a considerable improvement in performance over more traditional approaches. We also explore various optimizations of the proposed technique, in particular we consider variants of tabling and goal reordering. We then show that the decision problem for S1S can be mapped to the problem of query evaluation of Complex-value Datalog queries. We explore optimizations that can be applied to various types of formulas. Last, we propose analogous techniques that allow us to approach μ-calculus satisfiability problem in an incremental fashion and without the need for re-computation. In addition, we outline a top-down evaluation technique to drive our incremental procedure and propose heuristics that guide the problem partitioning to reduce the size of the problems that need to be solved.

In recent years, marine natural products in drug development increasingly wide range of applications. Both Taiwan's geographical location and climate are creating a rich marine biodiversity. Hence there is needed to construct a marine natural product database which with Taiwan features. The goal of this study is to establish a Taiwan's marine natural product database, with preliminary collected Formosan soft coral diterpenoids natural products from Taiwan for drug development features. The database included normal physical and chemical properties of compounds and biological activity assay from literature. Key project for the database is to construct three-dimensional structure information for marine natural products. In this study, it was to build and to check the correct three-dimensional structure by use of computer simulation study comparing with nuclear magnetic resonance (NMR) spectroscopy information from literature. The identification of the folding errors in three-dimensional structure of various compound skeleton types by computer was also discussed. And there was also discussed the relationship between potential energy and three-dimensional structure of compounds by compare with computer simulated structure and NMR structure.

With the popularization of Internet, and the vulnerabilities found continuously, network hosts meet more and more risks of being attacked. If we don¡¦t secure them well, they will become the targets of the hackers. In addition to the protection of firewalls, vulnerability scanners can also help us to find out the weekness of our network hosts. Nessus is an open source freeware which has the capability of vulnerability assessment. Nessus has very powerful scanning ability and is very easy to use. Nessus provides detailed result reports from the messages in the plugins. However, like many other freeware and software, Nessus is an English software. For this reason, Nessus provides English result reports. For those who do not use English as their first language, it costs a lot of time to read a lot of English result reports. In this research, we develop a localizational system of the Nessus scanner and provide the result reports in users¡¦ local language. We develop an automatic mechanism to extract the messages and infomations in the plugins, and put them into the vulnerability databases. We also develop two subsystems, one of them makes translators translates the message in the vulnerability database into their local language, and the other replaces the English result with those translated messages. This research proposes the design above and actually implements a localizational system of the Nessus scanner. It attempts to reduce the time and labor consumption while translating, automate the update process of vulnerability database, and avoid the modification of source code as possible.

Information Acquisition is the most essential and the most widely¡Vused function on the Internet. The Internet provides a platform on which News to be communicated to users faster and services to be delivered more efficiently. With the growth of users on the Internet, the online news database becomes a powerful tool of information acquisition under the integration of computers and communication technologies. Users can find useful information related to their work and daily life very easily. The purpose of this research is to investigate the information acquisition behavior affiliated with different uses of on-line news database. We use the Task-Technology Fit Model proposed by Goodhue and Thompson (1995) to investigate whether a better fit can result in a better decision satisfaction. An experiment was designed to study the user satisfaction under different settings of task characteristics and search tools. The results indicate that different search tools result in different satisfaction levels. More specifically, the keyword search has resulted a higher user satisfaction than the classified catalog search tool. Unfortunately, we do not find a better fit between task characteristics and the search tool can result in a higher user satisfaction. The findings can tell why Google, a pure keyword search engine, becomes dominating on the Internet search. It also provides implications for the design of search tools and the improvement on the functions of classified catalogs for developing on-line news Databases.

In recent years, many people use the World Wide Web and Internet to find information that they want. HTML is a document markup language for publishing hypertext on the WWW. HTML has been the target format for content developers around the world. Basically, HTML tags serve the primary purpose of describing how to display a data item. Therefore, HTML documents are difficult to find some useful information. That is because, HTML documents are mixed content with display tags. On the other hand, XML is the another data format for data exchange inter-enterprise applications on the Internet. In order to facilitate data exchange, industry groups define public Document Type Definitions (DTD) that specify the format of the XML documents to be exchanged between their applications. Moreover, WWW/EDI or Electric Commerce is very popular and a lot of business data uses XML to exchange information on the World Wide Web. Basically, XML tags describe the data itself. The contents (meaning) of the XML documents and the display format is separated. It could be easily to find meaningful information of the XML documents and analyze the information. Moreover, when a large volume of business data (XML documents) exists, one way to support the management of the XML documents is to apply the relational databases. For such an approach, we must transform the XML documents to the relational databases. In this thesis, we design and implement the indexing strategies to efficiently access XML documents. XML document is fundamentally different from relational data. XML is a hierarchical and nested document, it is very similar to the semistructured data model. The characteristic of semistructured data is that it may not have a fixed schema and it may be irregular or incomplete. Though, the semistructured data model is flexible in data modeling, it requires a large search space in query processing since there is no schema fixed in advance. Indexing is the way of how to improve query performance efficiently. However, due to the special properties of semistructued data, there are up to five types of queries: (1) complete single path, (2) specified leaf only, (3) specified intrapath, (4) specified attribute/element(value), and (5) multiple paths with the same level. In this thesis, we classify all possible queries into those five query types. Next, we create different indexes for different query types. Moreover, we design and implement the query transformation from XML query statements to SQL statements. Also, we create a user-friendly interface for users to input XML query statements. The whole system is implemented in JAVA and SQL Server 2000. From our experiences, we show that our indexing strategies can improve the XML query processing performance very well.

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ABSTRACT The development of information technology and the evolution of micro marketing urged the enterprises to value the effects of implementing database marketing. In the era of emphasizing customer centric, creating niches of differentiation, enhancing effectiveness of marketing, improving customers¡¦ satisfaction, database marketing is the most important basis of the above mentioned marketing development. The distinctions of database marketing are systematic, long-term oriented and emphasizing planning and analysis, which are different from the ways of traditional marketing that most of the companies are using. Developing Database Marketing is a significant change for all marketing related activities. The sales team has to learn new marketing skills, change the present marketing process, to invest in information technology, even to adjust the functions of organization and build up new concepts of marketing in order to improve the effects of database marketing. Practically, implementing database marketing must follow the process of strategic planning, for the purpose of building up competitive advantages, considering the capability and demand of the enterprise, to create the functions that the enterprise needs, then to improve the performance of marketing. The application of information technology is an important strategy of improving operation capability of the financial industry. Many banks had implemented database marketing to enhance their performance. Leasing is an important sector of financial industry, which is very suitable to execute database marketing for the characteristics of its business. Presently, Chailease finance Co., Ltd. is the only leasing company, to implement data marketing. So, this thesis is to study Chailease Financing Co., Ltd. for the following purposes: 1. The objectives of strategy that leasing industry implements database marketing. 2. The appliances and methods of executing database marketing in the case. 3. The critical success factors of implementing database marketing in the case. After illustrating the case and analyzing the theory, we can figure out the critical success factors related to the purpose of the thesis. Then we chose the objectives of strategy, appliances and methods, and critical success factors as 3 dimensions of studying the critical success factors in implementing database marketing of Chailease Financing Co., Ltd. By the way of investigation of questionnaire, we analyze the individual factors and relations among 3 dimensions. After the analysis of questionnaire, the result from the research shows that the objectives of strategy of implementing database marketing have been effective. But some of the important functions are not workable due to the influences of insufficient conditions or requirements and the other prior objectives of organization.

The problem of poverty in LDCs has been the continuing concern to the world. International organizations and other countries provide aid to LDCs for poverty reduction. Since the WTO Ministerial Conference in Hong Kong, aid for trade (A4T) became an issue of more importance. This paper is an empirical study on the nature of A4T as a public good. According to Wang (2010), the donor countries will provide more A4T as long as larger is the size of the economy, but the provision of the bilateral A4T will be insufficient to the social optimal level due to the spillover effect.. This paper will apply actual data to test the theory, using the hypothesis that, other things being equal, the lower is a partner¡¦s trade concentration; the lower is A4T received. We analyze the 22 OECD DAC members¡¦ bilateral A4T behavior from 2002 to 2007 using OECD Creditor-Reporting-System (CRS) data. Further, we also study how different types of A4T are determined. The main results of this study are:(1) Recipients¡¦ trade concentration is one determinant of the A4T received. (2) Trade concentration affects different types of A4T differently.