• 제목/요약/키워드: knowledge engineering

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Intelligent Methods to Extract Knowledge from Process Data in the Industrial Applications

  • Woo, Young-Kwang;Bae, Hyeon;Kim, Sung-Shin;Woo, Kwang-Bang
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권2호
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    • pp.194-199
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    • 2003
  • Data are an expression of the language or numerical values that show some features. And the information is extracted from data for the specific purposes. The knowledge is utilized as information to construct rules that recognize patterns or make a decision. Today, knowledge extraction and application of that are broadly accomplished for the easy comprehension and the performance improvement of systems in the several industrial fields. The knowledge extraction can be achieved by some steps that include the knowledge acquisition, expression, and implementation. Such extracted knowledge is drawn by rules with data mining techniques. Clustering (CL), input space partition (ISP), neuro-fuzzy (NF), neural network (NN), extension matrix (EM), etc. are employed for the knowledge expression based upon rules. In this paper, the various approaches of the knowledge extraction are surveyed and categorized by methodologies and applied industrial fields. Also, the trend and examples of each approaches are shown in the tables and graphes using the categories such as CL, ISP, NF, NN, EM, and so on.

제3종 시설물 지정 업무 담당자의 지식과 태도가 업무 실천에 미치는 영향 (Influence of Knowledge and Attitude of Class-III Facility Designator on Work Practice)

  • 임창우;정현지;신승현;원정훈
    • 한국안전학회지
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    • 제38권5호
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    • pp.15-26
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    • 2023
  • The relationship between the knowledge, attitude, and practice of the person in charge of designating a Class III facility was analyzed to improve its practice. As a field of knowledge, system knowledge and technical knowledge were considered, and attitudes were divided into cognitive, affective, and behavioral attitudes. A knowledge, attitude, and practice (KAP) survey was conducted, and the relationship among them was analyzed through correlation and regression analyses. The factors affecting the level of practice in designating the Class III facility were technical knowledge in the field of knowledge and cognitive and behavioral attitudes in the field of attitudes. Cognitive and behavioral attitudes were the two factors that most influenced the practice of designating a Class III facility. It is thought that the higher the level of cognitive and behavioral attitudes, the greater the ability to practice designating the Class III facility. The general characteristics of respondents influencing cognitive and behavioral attitudes were analyzed by safety inspection.

개구부가 있는 춤이 큰 철근 콘크리트 보의 설계에서 지식기반시스템의 적용 (An Application of a Knowledge-Based System for Design of Reinforced Concrete Deep Beam with Opening)

  • 민명희;이승창;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1996년도 봄 학술발표회 논문집
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    • pp.40-46
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    • 1996
  • Three procedures are currently used for the design of deep beams, which are Empirical design method, Nonlinear analysis, and Truss models. The engineering logic and decisions inherent in these design procedures are dependent on the acquired knowledge and experience of the structural engineer. Knowledge-based system is useful to solve problems which require human experties. Therefore, this study presents an application of Knowledge-Based System for design of reinforced concrete deep beams with web openings.

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전문가시스템 구축을 위한 KACE 구조에 대한 연구 (Architecture of Knowledge Acquisition Through Computer Experimentation (KACE) to build a Knowledge-Based Expert System)

  • 김선욱
    • 산업경영시스템학회지
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    • 제31권4호
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    • pp.59-65
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    • 2008
  • 전문가시스템의 성공을 좌우하는 지식추출은 주요 애로공정 중의 하나로 알려져 있다 설상가상으로 전문가의 부재, 새로운 또는 복잡한 문제 등 영역의 특성상 전문가시스템 개발은 실패할 수 있다. 이러한 문제점을 극복하기 위하여 본 논문에서는 KACE 구조를 제안하였다 본 구조는 작업 발생기, 작업 실행기, 작업 평가기, 규칙 발생기와 전문가시스템 등 5개의 주요 요소로 구성되어 있다. 이 구조를 이용하여 NP-complete인 일정계획 문제에 대한 전문가시스템이 어떻게 구축될 수 있는가를 예시하였다.

정성적 지식을 활용한 숫돌선택법 (Establishment of Grinding Wheel Based on the Qualitative Knowledge)

  • 김건회;이재경;송지복
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 추계학술대회 논문집
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    • pp.142-148
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    • 1993
  • Recectly, development of expert system utilizing the domain specific knowledge focuses upon the machining operations. This paper describes an expert system for selecting the optimum grinding wheel based on the Analytic Hierarchy Process and Fuzzy Logic. Knowledge-base, in this system, for selecting of grinding wheel is designed to appling the knowhow and experience knowledge of skilled hands. In this paper, firstly determination method of fuzzy membership function utilizing the qualitative knowledge, and then selection of the optimum wheel from among the available components according to Saaty's priority rule are described. Lastly,some implementation results are suggested.

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온톨로지 저장소를 이용한 설계 지식의 저장과 회수 (Storing and Querying of Design Knowledge Using Ontology Repository)

  • 지경환;양정진
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.337-338
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    • 2006
  • The requirement to reuse a design knowledge have been enlarged with the automation of a design system. A design knowledge gives logical and technical meanings to design data of a problem area. The representation of the knowledge is distributed and developed independently. For this reason, we need a general methodology with a semantic interoperability of design knowledge. In this paper, we accept previous requirements by using semantic query system with ontology repository.

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강구조물설계에서 부재선정의 시스템화 방법론 (Member Selection Procedure in the Steel Structural Design)

  • 이영호;김상철;김흥국;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1995년도 가을 학술발표회 논문집
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    • pp.197-206
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    • 1995
  • In structural design procedure, The procedure of member selection manages complex data relationship and reflects structural expert's knowledge. It is a difficult problem to construct an effective system with the conventional l programming technique. Knowledge_based s!'stem is a software system capable of supporting the explicit representation of expert's knowledge in member selection process through member data and reasoning mechanisms. This study describes useful methodology for structuring knowledge and representing relation between member data and knowledge. And this study shows the application of this member for member selection in the steel structural design.

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트리즈 (러시아의 창의적 문제해결 이론)의 창의적 지식경영에서의 응용 (Application of TRIZ(Theory of Inventive Problem Solving) to Creative Knowledge Management)

  • 이용규;이경원
    • 지식경영연구
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    • 제4권1호
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    • pp.81-94
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    • 2003
  • The Russian theory of inventive problem solving method in Engineering, TRIZ is introduced to the non Engineering field these days. In this paper, the applications of TRIZ to creative knowledge management for knowledge creation are reviewed. This paper shows some examples on the systematic win-win problem solving in business environments using TRIZ methodology and comments the possibility of TRIZ in conceptual creative business innovation in future.

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동영상 기반 디자인 지식 공유 시스템 개발 (The Development of Video Based System for Sharing Design Knowledge)

  • 한현영;박우영;이준호;이상용
    • 디지털융복합연구
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    • 제15권3호
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    • pp.313-318
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    • 2017
  • PhotoShop 등과 같은 디자인 관련 소프트웨어의 사용자들은 관련 지식에 관하여 알고 싶을 경우, 일반적으로 인터넷을 검색하게 된다. 그러나 인터넷에서 원하는 디자인 관련 지식만을 검색하기는 매우 어려운 실정이다. 왜냐하면 기존의 지식 공유 시스템들은 다루는 분야가 광범위하고, 디자인에 특화된 다양한 형태의 질문 및 답변, 지식 거래 등을 제공하는 곳은 거의 없기 때문이다. 본 논문에서는 디자인 지식의 특성을 반영하여 텍스트 뿐만 아니라 이미지, 동영상 등을 통한 자유로운 질의 응답 기능, 강의 기능, 지식거래 기능 등을 제공하는 동영상 기반 디자인 지식 공유 시스템을 개발하였다. 본 시스템을 이용하여 디자인 지식을 공유함으로써 제품 경쟁력 확보에 기여할 수 있을 것으로 기대된다. 향후 본 시스템은 디자인 지식뿐만 아니라 다양한 지식을 공유할 수 있는 프레임으로 확대가 필요할 것이다.

제품개발 프로세스를 지원하는 통합설계환경 (Integrated design system for supporting product development process ($ezDesign^{(R)}$ System))

  • 이상봉;김수옥;홍태화
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집C
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    • pp.357-360
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    • 2001
  • Design Engineering Group, LG Production engineering Research Center has been developing The Integrated Design Environment enabling engineering design task with ease, speedy and accurate for several years targeting the design departments in LG Electronics. $ezDesign^{(R)}$ System is consisted by Engineering Database Management, Engineering Knowledge Management, 3D Design Application, Design Evaluation Method and Project Management. Engineering Database Management manage the design information effectively. Engineering Knowledge Management takes control of design knowledge from design engineering activity systematically. It is possible for the engineering designer to utilized 3D CAD easily by 3D Design Application. Design Evaluation Method can evaluate several design alternatives synthetically. In Project management System, Designer can simulate the project schedule and cost. In this report, We will introduce how design process can be innovated by way of $ezDesign^{(R)}$ System.

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