• Title/Summary/Keyword: Intelligent manufacturing

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Conceptual Study of the Future Holonic Weapon System (미래전장 홀로닉 무기체계 개념)

  • 최진희;유삼현
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.1
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    • pp.183-190
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    • 2000
  • The concept of Holon was suggested by A. Koestler in his paper(1967) "The Ghost in the Machine." It became one of the central concept of the Intelligent Manufacturing System. In this paper, a new system concept: Holonic Weapon System was introduced. HWS has the advantages of the holonic system and the system integration technique so that the future unmanned combat system should consider this concept.

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Fault Detection and Identification for a Robot used in Intelligent Manufacturing (IMS용 로봇의 고장진단기법에 관한 연구)

  • 이상길;송택렬
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.666-673
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    • 1998
  • To increase reliability and performance of an IMS(Intelligent Manufacturing System), fault tolerant control based on an accurate fault diagnosis is needed. In this paper, robot FDI(fault detection and identification) is proposed for IMS where the robot is controlled with state estimates of a nonlinear filter using a mathematical robot model. The Chi-square test and GLR(General likelihood ratio) test are applied for fault detection and fault size is estimated by a proposed bias filter. Performance of the proposed algorithm is tested by simulation for studies.

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An Efficient Approach for Computer Integrated Manufacturing Database Using Neural Network (신경망을 이용한 CIM 데이터베이스의 효율적인 처리 방법)

  • 김선희;김국보;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.223-226
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    • 1996
  • One of the consideration issue in implementation and maintanence of CIM(Computer Integrated Manufacturing) database is exchange and sharing of information between heterogeneous databases. For efficient operating of SIM systems, it must be able to organize and to manage the information. In this paper, we propose method that can make enhance the efficiency of CIM database, classfying the data in database using self organize neural network to each database systems, and computing between classfied heterogeneous database using extended operator that is defined.

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Intelligent Ship s Steering Gear Control System Using Linguistic Instruction (언어지시에 의한 지능형 조타기 제어 시스템)

  • Park, Gyei-Kark;Seo, Ki-Yeol
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.5
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    • pp.417-423
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    • 2002
  • In this paper, we propose intelligent steering control system that apply LIBL(Linguistic Instruction Based Learning) method to steering system of ship and take the place of process that linguistic instruction such as officer s steering instruction is achieved via ableman. We embody ableman s suitable steering manufacturing model using fuzzy inference rule by specific method of study, and apply LIBL method to present suitable meaning element and evaluation rule to steering system of ship, embody intelligent steering gear control system that respond more efficiently on officer s linguistic instruction. We presented evaluation rule to constructed steering manufacturing model based on ableman s experience, and propose rudder angle for steering system, compass bearing arrival time, meaning element of stationary state, and correct ableman manufacturing model rule using fuzzy inference. Also, we apply LIBL method to ship control simulator and confirmed the effectiveness.

Intelligent Ship s Steering Gear Control System Using Linguistic Instruction (언어지시에 의한 지능형 조타기 제어 시스템)

  • 박계각;서기열
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.93-97
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    • 2002
  • In this paper, we propose intelligent steering control system that apply LIBL(Linguistic Instruction Based Learning) method to steering system of ship and take the place of process that linguistic instruction such as officer's steering instruction is achieved via ableman. We embody ableman's suitable steering manufacturing model using fuzzy inference rule by specific method of study, and apply LIBL method to present suitable meaning element and evaluation rule to steering system of ship, embody intelligent steering gear control system that respond more efficiently on officer's linguistic instruction. We presented evaluation rule to constructed steering manufacturing model based on ableman's experience, and propose rudder angle for steering system, compass bearing arrival time, meaning element of stationary state, and correct ableman manufacturing model rule using fuzzy inference. Also, we apply LIBL method to ship control simulator and confirmed the effectiveness.

Reengineering methodologies of low-cost manufacturing systems in Korean companies (저비용 생산시스템의 구축을 위한 리엔지니어링 방법론)

  • 유인선
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.39
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    • pp.143-154
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    • 1996
  • Manufacturing industry is on the verge of a major paradigm shift. This shift will take us away from mass production, way beyond lean manufacturing into a world of new intelligent and agile manufacturing. We spent most of our time during the 1980s copying the Japanese. This paper studys reengineering methodologies to build up low-cost manufacturing systems efficiently in Korean companies

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