• 제목/요약/키워드: intelligent building

검색결과 661건 처리시간 0.028초

지능공작기계를 위한 가공 지식의 지식베이스 구성 및 운영 (Building a Machining Knowledge Base for Intelligent Machine Tools)

  • 이승우;이화기
    • 대한안전경영과학회지
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    • 제9권5호
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    • pp.79-85
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    • 2007
  • Intelligent machines respond to external environments on the basis of decisions that are made by sensing the changes in the environment and analyzing the obtained information. This study focuses on the construction of a knowledge base which enables decision making with that information. Approximately 70% of all errors that occur in machine tools are caused by thermal error. In order to proactive deal with these errors, a system which measures the temperature of each part and predicts and compensates the displacement of each axis has been developed. The system was built in an open type controller to enable machine tools to measure temperature changes and compensate the displacement. The construction of a machining knowledge base is important for the implementation of intelligent machine tools, and is expected to be applicable to the network based intelligent machine tools which look set to appear sooner or later.

지능형 다짐기술을 통한 토공사 품질관리를 위한 기초 연구 (Fundamental Study on Earthwork Quality Control Based on Intelligent Compaction Technology)

  • 백성하;김진영;조진우;김남규;정영훈;최창호
    • 한국지반공학회논문집
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    • 제36권12호
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    • pp.45-56
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    • 2020
  • 본 연구에서는 지능형 다짐기술과 이를 활용한 토공사 품질관리 기준을 분석하고, 현장시험을 통해 대표적인 지능형 다짐값인 CMV(Compaction Meter Value)와 일점시험(평판재하시험 및 현장밀도시험) 결과를 비교 분석했다. CMV와 일점시험 결과 모두 다짐횟수가 증가할수록 커지는 경향을 나타냈다. CMV와 일점시험 결과의 상관성은 높지 않았는데, 이는 불균질한 원지반 강성, 성토재료의 포설 깊이 및 함수비가 각각 CMV와 일점시험 결과에 영향을 주었기 때문이다. 지능형 다짐과 관련한 대부분의 국외 기준에서 지능형 다짐값과 일점시험 결과의 상관관계를 바탕으로 토공사 품질을 관리를 하도록 명시하고 있다. 따라서 지능형 다짐기술을 활용해 토공사 현장의 다짐품질을 관리하기 위해서는 적절한 다짐횟수와 더불어 원지반의 상태, 성토재료의 포설 깊이 및 함수비가 종합적으로 고려되어야 할 것으로 판단된다.

A Proposal of GA Using Symbiotic Evolutionary Viruses and Its Virus Evaluation Techniques

  • Sakakura, Yoshiaki;Taniguchi, Noriyuki;Hoshino, Yukinobu;Kamei, Katsuari
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.679-682
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    • 2003
  • In this paper, we propose a Genetic Algorithm (GA) using symbiotic evolutionary viruses. Our GA is based on both the building block hypothesis and the virus theory of evolution. The proposed GA aims to control a destruction of building blocks by discovering, keeping, and propagating of building blocks based on virus operation. Concretely, we prepare the group of individuals and the group of viruses. In our GA, the group of individuals searches solutions and the group of viruses searches building blocks. These searches done based on the symbiotic relation of both groups. Also, our GA has two types of virus evaluation techniques. One is that each virus is evaluated by the difference of the fitness of an individual between before and after infection of virus. Another is that all viruses aye evaluated by the difference of the fitness of an individual between before and after infection of all viruses. Furthermore, we applied the proposed GA to the minimum value search problem of a test function which has some local solutions far from the optimal solution. And, we discuss a difference of behaviors of the proposed GA based on each virus evaluation techniques.

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Acceleration of Building Thesaurus in Fuzzy Information Retrieval Using Relational products

  • Kim, Chang-Min;Kim, Young-Gi
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.240-245
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    • 1998
  • Fuzzy information retrieval which uses the concept of fuzzy relation is able to retrieve documents in the way based on not morphology but semantics, dissimilar to traditional information retrieval theories. Fuzzy information retrieval logically consists of three sets : the set of documents, the set of terms and the set of queries. It maintains a fuzzy relational matrix which describes the relationship between documents and terms and creates a thesaurus with fuzzy relational product. It also provides the user with documents which are relevant to his query. However, there are some problems on building a thesaurus with fuzzy relational product such that it has big time complexity and it uses fuzzy values to be processed with flating-point. Actually, fuzzy values have to be expressed and processed with floating-point. However, floating-point operations have complex logics and make the system be slow. If it is possible to exchange fuzzy values with binary values, we could expect sp eding up building the thesaurus. In addition, binary value expressions require just a bit of memory space, but floating -point expression needs couple of bytes. In this study, we suggest a new method of building a thesaurus, which accelerates the operation of the system by pre-applying an ${\alpha}$-cut. The experiments show the improvement of performance and reliability of the system.

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