This paper describes a development of design tool for knowledge based engineering(KBE) that covers structural, aerodynamic, and optical analysis of large-scale telescope structures. A module of the commercial program Adaptive Modeling Language(AML) was used to develop a knowledge-based design tool that reflects the design of parameters for rapid design change and analysis. Through this study, it is proposed a design tool with a knowledge based engineering and a function based design technique. The knowledge based engineering design is good at frequent design changes, and it is effective to extract a core design behavior from previous designs. It is concluded that the developed tool can bring fair effects in implementing a time and cost-effective design environment.

This paper considers a paternity and kinship analysis system(PKAS) being currently used in real sites. A knowledge-based expert system is proposed to improve the performance of PKAS in terms of accuracy, speed, training time, and satisfaction, which are common measures for evaluation. The knowledge base, one of the most important components in the knowledge-based expert system(KBES), consists of a rule made from random matching algorithm, decision rules of allele types and guide rules of options. The last two rules are learning incrementally from sample data. The results show that PKAS armed with the expert system ensures the better performance with regard to these criteria than the existing system. Especially as far as speed is concerned, as the sample size increases, it outperforms the existing one. As the number of samples increases, while processing time increases nearly exponentially in the existing PKAS, it does linearly in our proposed system.

지식정보사회의 등장은 개인과 기업, 또는 공공기관 및 국가에게 부여된 목표와 성과를 달성하기 위해 유용한 정보를 획득, 가공하여 이를 활용할 수 있는 환경과 능력을 갖추기 위한 IT 기반의 지식경영 시스템 구축을 조직성과 향상의 핵심요인으로 인식하게 하였다. 이러한 환경의 변화는 국방획득사업을 관리하는 관련조직들에게도 전문성, 기밀성, 정보접근의 제한성이라는 국방획득사업의 특성과 권위성, 보수성, 비밀성, 정보보호의 의식 등의 국방조직의 특징을 극복하기 위한 수단으로 기존의 아날로그적 방식으로 관리 및 유지되던 사업 관리의 Know-How나 중요 지식 정보들을 IT기반으로 구축된 지식경영 시스템을 이용한 시스템 구축 및 체계적 관리의 필요성을 인식하게 하였으며, IT기반의 지식경영 시스템의 도입 및 정착을 진행하게 하였다. 이에 본 연구는 국방획득사업의 성과를 향상시킬 수 있다면, 지식경영의 핵심요인 중 하나인 지식경영 시스템 역시 국방획득사업의 성과를 향상시키는데 기여한다는 실증적 연구결과를 제안하였다.

Expert systems are popular ways to solve very complex and hard problems. However, it is well-known that knowledge acquisition is a bottleneck process to develop them. Furthermore, the development of the systems can fail because there is no expert or an expert less qualified. In order to overcome the problems that they possess, this thesis focuses on an extended architecture of the expert systems. A simulator and an induction system are added to the existing architecture of expert systems. An expert system for schedule-based material requirements planning(SBMRP) has been implemented to show how the extended architecture works, and produces better results than existing SBMRP systems.

A framework for knowledge management system has been explored which enables the semantic search of knowledge on the web Knowledge representation by RDF and RDF schema enables machine cognition of knowledge documents. Dnblin core was adopted for structured

A framework for knowledge management system has been explored which enables the semantic search of knowledge on the web. Knowledge representation by RDF and RDF schema enables machine cognition of knowledge documents. Dublin core was adopted for structured metadata representation. Thereby, it enables the CBR and rule based reasoning for intelligent knowledge retrieval. Grafting of the WFMS technique unto the KMS facilitates the effective utilization of process knowledge and creation of new knowledge.

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of Industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

To keep enterprise's competitiveness on condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously in not only production and maintenance but also related Industrial safety. As we analyze in the surveys for the maintenance management of domestic enterprises and the causes of industrial accident, there will be necessity of drawing up countermeasures for prevention of industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, this study studied the safety information system, maintenance management information system, and the machinery condition diagnosis technique by using of the knowledge-based system under the internet environment. This web based knowledge-based diagnosis system can easily provide not only the knowledge of expert about deterioration phenomenon of industrial robot, but also the knowledge of relating safety and facility on everywhere, everytime. Therefore, when we use this system, it is expected to improve the efficiency of business processes in the production and safety.

Agricultural information was discussed for suggesting tasks and solutions of knowledge based information system. States of agricultural information systems in rural development administration were described and problems and tasks were summarized in knowledge needs survey of farmers who have to decide many alternatives for farming. Hard to access information are soil state, disease and insect pest. Important information in agriculture are water, soil fertility, soil physical property, and accessibility from main road. In conclusion, knowledge based agricultural information system can be developed based on surveyed needs.

본 논문에서는 가상 에이전트의 행동 계획을 위한 인터렉티브 지식베이스 구축과 인터렉티브 지식베이스를 바탕으로 하는 계획시스템에 관한 방법을 제안한다. 고정적인 지식베이스는 고정적인 계획 수립만 가능하기 때문에 환경의 변화에 잘 대처하지 못한다. 그래서 이 논문에서는 다양한 환경에서 적용이 가능한 인터렉티브한 지식베이스의 구축과 인터렉티브 지식베이스를 활용할 수 있는 인공지능 계획시스템을 제안한다. 본 연구에서 제안한 인터렉티브 지식베이스는 동기, 행동, 사물, 실행의 4가지로 이루어지며 지식베이스의 입력과 지식베이스들 사이의 연관관계는 개발된 자동화 툴을 사용하여 설정한다. 이 툴을 사용하여 사용자는 쉽게 지식베이스에 구성요소들을 추가 또는 수정할 수 있다. 이 지식베이스를 바탕으로 캐릭터는 행동가능한 모든 항목들을 계획을 세우게 되며 이 중 한 가지를 선택하여 행동을 하게 된다. 후에 캐릭터의 환경이 변하게 되더라도 지식베이스의 업데이트를 통해 새로운 행동을 적용시킬 수가 있기 때문에 가상현실 콘텐츠제작자의 입장에서는 상당히 유용하다. 본 논문에서는 확장성이 있는 인터렉티브 지식베이스 구성요소와 구성요소들 사이의 관계설정 그리고 이를 쉽게 입력할 수 있는 툴과 인터렉티브 지식베이스에 적합한 계획시스템의 알고리즘을 제안하여 가상도서관이라는 가상환경에서 실험을 통해 결과를 검증하였다.