• 제목/요약/키워드: Expert Search

검색결과 211건 처리시간 0.024초

AUV의 자율항행을 위한 전문가시스템에서의 휴리스틱 추론기법 (Heuristic Inference in the Expert System for Autonomous Navigation of AUV)

  • 이영일;김창민;김용기
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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    • pp.155-159
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    • 1999
  • 자율무인잠수정(AUV, Autonomous Underwater Vehicle)이 해저 속에서 주어진 임무(mission)를 수행하는데 있어 가장 먼저 선행되어야 하는 것은 목표점(Goal Position)까지 안전하고 빠르게 항행할 수 있는 자율 항행시스템(Autonomous Navigation System) 관련 기술의 개발이다. 이러한 시스템은 IPMS(Integrated Platform Management System)률 기반으로 하여 자율무인잠수정에 자율성을 부여하는 항행전문가시스템(Navigation Expert System)이 결합된 구조이다. 본 논문에서는 IPMS에 기반 한 자율항행시스템의 개념적 구조를 설계하고 항행전문가시스템의 추론방법으로서 퍼지관계곱(Fuzzy Relational Products) 기반 평가함수를 이용한 항행 휴리스틱탐색(navigation heuristic search) 기법을 제안한다.

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AUV의 자율항행을 위한 전문가시스템에서의 휴리스틱추론기법 (Heuristic Inference in the Expert System for Autonomous Navigation of AUV)

  • 이영일;김창민;김용기
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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    • pp.155-159
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    • 1999
  • 자율무인잠수정(AUV, Autonomous Underwater Vehicle)이 해저 속에서 주어진 임무(mission)를 수행하는데 있어 가장 먼저 선행되어야 하는 것은 목표점(Goal Position)까지 안전하고 빠르게 항행할 수 있는 자율항행시스템(Autonomous Navigation System) 관련 기술의 개발이다. 이러한 시스템은 IPMS(Integrated Platform Management System)를 기반으로 하여 자율무인잠수정에 자율성을 부여하는 항행전문가시스템(Navigation Expert System)이 결합된 구조이다. 본 논문에서는 IPMS 에 기반한 자율항행시스템의 개념적 구조를 설계하고 항행전문가시스템의 추론방법으로 퍼지관계곱(Fuzzy Relational Products) 기반 평가함수를 이용한 항행 휴리스틱탐색(navigation heuristic search) 기법을 제안한다.

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Optimization of Fuzzy Car Controller Using Genetic Algorithm

  • Kim, Bong-Gi;Song, Jin-Kook;Shin, Chang-Doon
    • Journal of information and communication convergence engineering
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    • 제6권2호
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    • pp.222-227
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    • 2008
  • The important problem in designing a Fuzzy Logic Controller(FLC) is generation of fuzzy control rules and it is usually the case that they are given by human experts of the problem domain. However, it is difficult to find an well-trained expert to any given problem. In this paper, I describes an application of genetic algorithm, a well-known global search algorithm to automatic generation of fuzzy control rules for FLC design. Fuzzy rules are automatically generated by evolving initially given fuzzy rules and membership functions associated fuzzy linguistic terms. Using genetic algorithm efficient fuzzy rules can be generated without any prior knowledge about the domain problem. In addition expert knowledge can be easily incorporated into rule generation for performance enhancement. We experimented genetic algorithm with a non-trivial vehicle controling problem. Our experimental results showed that genetic algorithm is efficient for designing any complex control system and the resulting system is robust.

탐색 알고리즘을 이용한 냉간 단조 공정 설계 (Multi-Stage Cold Forging Process Design with A* Searching Algorithm)

  • 김홍석;임용택
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1995년도 추계학술대회논문집
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    • pp.30-36
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    • 1995
  • Conventionally design for multi-stage cold forging depends on the designer's experience and decision-making. Due to such non-deterministic nature of the process sequence design, a flexible inference engine is needed for process design expert system. In this study, A* searching algorithm was introduced to arrive at the vetter process sequence design considering the number of forming stages and levels of effective strain, effective stress, and forming load during the porcess. In order to optimize the process sequence in producing the final part, cost function was defined and minimized using the proposed A* searching algorithm. For verification of the designed forming sequences, forming experiments and finite element analyses were carried out in the present investigation. The developed expert system using A* searching algorithm can produce a flexible design system based on changes in the number of forming stages and weights.

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전압, 무효전력 제어를 위한 전문가 시스템 (An Expert System for Voltage and Reactive Power Control)

  • 서승우;이흥재;박영문
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.852-854
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    • 1988
  • An expert system is developed to solve the voltage problems occurring in electric transmission power system. It is based on knewledge engineering technique satisfies the performance criteria such as minimizing the number of operation of control device and quantity of reactive power. Also, it uses best-first search technique from the experts. Control devices used in this paper include shunt capaciter/reactor, transformer tap changer, generator output voltage and a generator is used after the availability of other two devices are checked.

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철골구조설계 지침서로서의 Hyperdocument에 관한 고찰 (On The Hyperdocument As A Companion For Structural Steel Designers)

  • 정영식;이재연
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1997년도 가을 학술발표회 논문집
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    • pp.181-188
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    • 1997
  • This work proposes possible use of the hyperdocument as a companion for structural steel designers and also as a part of any expert system to be used for the design of steel structures. AISC Specification for Structural Steel Buildings - Allowable Stress Design and Plastic Design, June 1, 1989-has been thoroughly hyperdocumented. Database for the most of AISC standard sections has been built for easier reference to sectional properties and even for search for the relevant sections. Hardy and wxCLIPS from AIAI, The University of Edinburgh were used as development tools. Hardy is integrated with NASA's rule-based and object-oriented language CLIPS 6.0 to enable users to rapidly develop diagram-related applications. Currently this work does not include any sophisticated rule-bases. Rather, this work will form a part of the expert systems for the steel structural design to be developed later. Nevertheless, the hyperdocument of this work will make a good companion for structural steel designers in its own right.

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Fuzzy Inference in RDB using Fuzzy Classification and Fuzzy Inference Rules

  • 김진성
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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    • pp.153-156
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    • 2005
  • In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

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키워드 기반 문서 네트워크를 이용한 네트워크형 지식지도 자동 구성 (Automated networked knowledge map using keyword-based document networks)

  • 유기동
    • 지식경영연구
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    • 제19권3호
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    • pp.47-61
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    • 2018
  • A knowledge map, a taxonomy of knowledge repositories, must have capabilities supporting and enhancing knowledge user's activity to search and select proper knowledge for problem-solving. Conventional knowledge maps, however, have been hierarchically categorized, and could not support such activity that must coincide with the user's cognitive process for knowledge utilization. This paper, therefore, aims to verify and develop a methodology to build a networked knowledge map that can support user's activity to search and retrieve proper knowledge based on the referential navigation between content-relevant knowledge. This paper deploys keywords as the semantic information between knowledge, because they can represent the overall contents of a given document, and because they can play the role of semantic information on the link between related documents. By aggregating links between documents, a document network can be formulated: a keyword-based networked knowledge map can be finally built. Domain expert-based validation test was also conducted on a networked knowledge map of 50 research papers, which confirmed the performance of the proposed methodology to be outstanding with respect to the precision and recall.

한의학정보 검색엔진 개발을 위한 시소러스 연구 (A Study on the Thesaurus of Korean medical information for developing search engine)

  • 백유상
    • 대한한의학원전학회지
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    • 제19권1호통권32호
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    • pp.155-167
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    • 2006
  • From th Study on A Study on the Thesaurus of Korean medical information for developing search engine, the conclusion is as follow. Knowledge based information system consists of concepts, facts and relation. The final goal of developing the Knowledge based information system is to select, store and control the knowledge and information of Oriental Medicine. Considering limitation of organizing the knowledge system, it is difficult to realize complete basic system and application method. In order to work, it is necessary to combine experts in each part, for example Domain experts, Information and Knowledge engineer. Through the development of knowledge based information system, we can construct EMR(Electronic Medical Record) system in the near future, and it is possible to make semi-expert system. To make Knowledge based information system, we need to establish standards of information that make the distribution of Knowledge and information easily.

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초고속망을 이용한 원격 종합 한의학 의료정보 시범시스템 구축 (Construction of Multimedia-based Total Oriental Medicine Information Retrieval and Remote Medical Examination System Based on Thesaurus)

  • 양옥렬;이용주
    • 한국정보처리학회논문지
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    • 제7권2S호
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    • pp.594-607
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    • 2000
  • The goal of this research is to develop a Remote Medical Examination System on Oriental Medicine on the very high sped information communication network. We developed a remote medical examination system based on the sample examination data of 10 patients and develop the information of search database based on contents. We analyzed the sample data and the requirements of patients, doctors, and nurses. By the analyzed result, we designed and constructed a prototype are as follow: the multimedia ORDBMS server system, network interface technology, internal/external database schema design, oriental medicine expert knowledge base design, inter-data search algorithm design and thesaurus.

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