• 한국정보처리학회논문지
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• 제6권8호
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• pp.2188-2195
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• 1999

본 논문에서는 퍼지 패턴 추정기를 구성하여 신경망 학습시에 훈련되지 않은 새로운 종류의 호가 발생할 때, 재학습을 하지 않고 그 호의 수락/거절을 효과적으로 행할 수 있는 IFVQ-NNCA(Inverse Fuzzy Vectorquantizer-Neural Networks Call Admission Control)를 제안한다. 이 방식은 연결을 요구하는 호의 입력 트래픽 패턴이 발생하면, 그 입력패턴은 수락/거절 표준패턴(코드북), 퍼지 소속 함수값, 그리고 FCM(Fuzzy-C-Means) 연산을 이용하여 학습화한 패턴을 발생한 후, 그 패턴을 신경망의 입력으로 하여 호 수락/거절을 결정한다. 이 방식은 셀 스트림의 평균과 분산값을 트래픽 파라메터로 사용함으로써 트래픽 모델과는 무관한 호 수락제어가 가능하며, 입력패턴(프레임별 관측패턴)과 표준패턴의 멤버쉽 함수값을 CAC에 신고하는 트래픽 파라케터로 사용하는 새로운 방법이다. 신경망은 오류 역전파 알고리즘을 사용하여 표준패턴으로 학습한다. 시뮬레이션을 통하여 기존의 신경망 방식과 제안된 방식의 Fuzziness 값의 설정에 따른 호 수락/거절 오류를 비교하여 제안된 방식이 우수함을 보였다.

• 한국컴퓨터산업학회논문지
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• 제5권2호
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• pp.251-260
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• 2004

네트워크 보안의 중요성과 필요성이 증대됨에 따라 많은 조직들이 다양한 보안 시스템을 네트워크에 적용하고 있다. 침입 차단 시스템, 침입 탐지 시스템, 취약점 스캐너와 같은 보안 시스템들이 취약성 정보를 공유하게 되면 일관된 통합 보안 환경을 구축할 수 있다. 본 논문에서는 침입탐지 에이전트와 방화벽 에이전트가 계약망 프로토콜(Contract Net Protocol)에 의해서 서로 연동할 수 있는 구조를 디자인하고 구축하려다 계약망 프로토콜은 분산 시스템과 같은 이 기종의 컴퓨터 시스템의 효과적인 연통을 위한 방법으로서 여러 에이전트들이 모여 서로 협력하며 하나의 문제를 해결하게 된다 계약망 프로토콜의 선택 알고리즘과 퍼지 제어기를 사용하였을 경우 성능을 비교함으로써 에이전트 선택에 있어서 보다 효과적인 방법을 제시할 것이다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.141-144
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• 2001

This paper proposes a decentralized control technique for 2-dimensional experimental helicopter systems. The decentralized control technique is especially suitable in large-scale control systems. We derive the stabilization condition for the interconnected Takagi-Sugeno (75) fuzzy system using the rigorous tool - Lyapunov stability criterion and formulate the controller design condition in terms of linear matrix inequality (LMI). To demonstrate the feasibility of the proposed method, we include the experiment result as well as a computer simulation one, which strongly convinces us the applicability to the industry.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.307-310
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• 1997

In case of environment requiring safety such as human body and requiring flexible shape, a conventional mechanical actuator system does not satisfy requirement. Therefore, in order to solve this problem, a research of various smart material such as EAP (Electro Active Polymer), EAC (Electro Active Ceramic) and SMA (Shape Memory Alloy) is in progress. Recently, the highest preferring material among various smart material is EP (Electrostictive Polymer), because it has very fast response time, poerful force and large displacement. The previous researches have been studied properties of polymer and simple control, but present researches are studied a polymer actuator. An EP (Electostrictive Polymer) actuator has properties which change variably as shape and environmental condition. Therefore, in order to coincide with a user's purpose, it is important not only to decide a shape of actuator and mechanical design but also to investigate a efficient controller. In this paper, we constructed the control logic with an adaptive fuvy algorithm which depends on the physical properties of EP that has a dielectric constant depending on time.

• 한국정밀공학회지
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• 제20권2호
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• pp.94-103
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• 2003

In case of environment requiring safety such as human body and requiring flexible shape, a conventional mechanical actuator system does not satisfy requirements. Therefore, in order to solve these problems. a research of various smart material such as EAP (Electro Active Polymer), EAC (Electro Active Ceramic) and SMA (Shape Memory Alloy) is in progress. Recently, the highest preferring material among various smart material is EP (Electrostictive Polymer), because it has very fast response time, powerful force and large displacement. The previous researches have been studied properties of polymer and simple control, but present researches are studied a polymer actuator. An EP (Electostrictive Polymer) actuator has properties which change variably ils shape and environmental condition. Therefore, in order to coincide with a user's purpose, it is important not only to decide a shape of actuator and mechanical design but also to investigate a efficient controller. In this paper, we constructed the control logic with an adaptive fuzzy algorithm which depends on the physical properties of EP that has a dielectric constant depending on time. It caused for a sub-actuator to operate at the same time that a sub-actuator system operation increase with a functional improvement and control efficiency improvement in each actuator, hence it becomes very important to manage it effectively and to control the sub-system which Is operated effectively. There is a limitation on the management of Main-host system which has multiple sub-system, hence it brings out the Multi-Vehicle Control process that disperse the task efficiently. Controlling the multi-dispersion system efficiently, it needs the research of Main-host system's scheduling, data interchange between sub-actuators, data interchange between Main-host system and sub-actuator system, and data communication process. Therefore in this papers, we compared the fuzzy controller with the adaptive fuzzy controller. also, we applied the scheduling method for efficient multi-control in EP Actuator and the algorithm with interchanging data, protocol design.