• 제목/요약/키워드: adaptive updating

검색결과 149건 처리시간 0.023초

네이밍 에이전트의 메타데이터를 이용한 이동 에이전트의 적응적 이주 경로 기법 (Adaptive Migration Path Technique of Mobile Agent Using the Metadata of Naming Agent)

  • 김광종;고현;이연식
    • 한국컴퓨터정보학회논문지
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    • 제12권3호
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    • pp.165-175
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    • 2007
  • 이동 에이전트는 에이전트 코드 자체가 서버로 이동하여 주어진 작업을 수행한다. 이 때 노드 이주 방법은 분산 시스템의 전체 성능에 큰 영향을 줄 수 있는 요소가 된다. 따라서 본 논문에서는 네이밍 에이전트의 메타데이터를 이용한 이동 에이전트의 적응적 이주 경로 기법을 제안한다. 제안 기법에서 노드 이주의 선택은 참조된 메타데이터의 정보에 의존하며, 이주 정보의 신뢰성은 멀티 에이전트의 각 에이전트 시스템들의 상호 협력 및 메타데이터 갱신 방법에 의해 결정된다. 이를 위해 적중 문건 수 적중률, 노드 처리 및 네트워크 지연 시간 등의 정보로 메타데이터를 설계하고 이를 이용하여 각 에이전트의 상호 관계와 적중 문건의 수에 따라 이동 에이전트의 적응적 이주 경로를 결정하기 위한 메타데이터의 생성, 이용 및 갱신하는 방법을 기술한다. 그리고 제안 이주 기법을 실험 및 분석을 통해 성능을 평가한 결과 메타데이터를 적용한 경우는 13개 노드만을 순회하면 될 뿐 아니라, 수집된 문건에 대한 적중률(72%) 또한 높기 때문에 높은 유효정보 확보율을 얻을 수 있다. 하지만 메타데이터를 적용하지 않은 경우는 26개의 노드를 순회하여 수집된 문건에 대한 적중률이 46%이며 사용자가 원하는 유효정보를 포함하고 있을 유효정보 확보율은 36.8% 이다.

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ART를 이용한 기억 정보 확장 모델 제시 (Proposal of Memory Information Extension Model Using Adaptive Resonance Theory)

  • 김주훈;김성주;김용택;전홍태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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    • pp.1283-1286
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    • 2003
  • Human can update the memory with new information not forgetting acquired information in the memory. ART(Adaptive Resonance Theory) does not need to change all information. The methodology of ART is followed. The ART updates the memory with the new information that is unknown if it is similar with the memorized information. On the other hand, if it is unknown information the ART adds it to the memory not updating the memory with the new one. This paper shows that ART is able to classify sensory information of a certain object. When ART receives new information of the object as an input, it searches for the nearest thing among the acquired information in the memory. If it is revealed that new information of the object has similarity with the acquired object, the model is updated to reflect new information to the memory. When new object does not have similarity with the acquired object, the model register the object into new memory

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Redundant Binary 복소수 필터를 이용한 적응 결정귀환 등화기 모듈 설계 (A design of Adaptive Decision-feedback Equalizer Module using Redundant Binary Complex Filter)

  • 김호하;안병규신경욱
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 추계종합학술대회 논문집
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    • pp.1125-1128
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    • 1998
  • A new architecture for high-speed implementation of adaptive decision-feedback equalizer (ADFE) applicable to wide-band digital wireless modems is described. Rather than using conventional two's complement arithmetic, a novel complex-valued filter structure is devised, which is based on redundant binary (RB) arithmetic. The proposed RB complex-valued filter reduces the critical path delay of ADFE, as well as leads to a more compact implementation than conventional methods. Also, the carry-propagation free (CPF) operation of the RB arithmetic enhances its speed. To demonstrate the proposed method, a prototype chip set is designed. They are designed to contain two complexvalued filter taps along with their coefficient updating circuits, and can be cascaded to implement loger filter taps for high bit-rate applications.

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AN ADAPTIVE PRIMAL-DUAL FULL-NEWTON STEP INFEASIBLE INTERIOR-POINT ALGORITHM FOR LINEAR OPTIMIZATION

  • Asadi, Soodabeh;Mansouri, Hossein;Zangiabadi, Maryam
    • 대한수학회보
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    • 제53권6호
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    • pp.1831-1844
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    • 2016
  • In this paper, we improve the full-Newton step infeasible interior-point algorithm proposed by Mansouri et al. [6]. The algorithm takes only one full-Newton step in a major iteration. To perform this step, the algorithm adopts the largest logical value for the barrier update parameter ${\theta}$. This value is adapted with the value of proximity function ${\delta}$ related to (x, y, s) in current iteration of the algorithm. We derive a suitable interval to change the parameter ${\theta}$ from iteration to iteration. This leads to more flexibilities in the algorithm, compared to the situation that ${\theta}$ takes a default fixed value.

비선형 시스템 제어를 위한 모듈화 피지추론 시스템 (Modular Fuzzy Inference Systems for Nonlinear System Control)

  • 권오신
    • 한국지능시스템학회논문지
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    • 제11권5호
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    • pp.395-399
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    • 2001
  • 이 논문은 학습을 통해 관측 데이터로부터 퍼지 추론 모듈을 생성할 수 있는 적응 능력을 갖는 모듈화 퍼지추론 시스템을 제안한다. 제안한 시스템은 TS 퍼지모델과 모듈화 신경회로망의 구조적 유사성을 기초로 한다. 학습과정은 새로운 퍼지추론 모듈의 생성과 모듈 파라미터의 갱신으로 구성된다. 퍼지추론 모듈은 국부모델망과 퍼지 게이팅망으로 구성된다. 제안한 시스템의 파라미터들은 표준 LMS 알고리즘을 이용하여 최적화된다. 제안한 시스템의 성능은 비선형 동적 시스템 적응제어에의 응용을 통해서 입증된다.

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A New Implementation of the LMS Algorithm as a Decision-directed Adaptive Equalizer with Decoding Delay

  • Ahn, Sang-Sik
    • The Journal of the Acoustical Society of Korea
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    • 제15권1E호
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    • pp.89-94
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    • 1996
  • This paper deals with the application of the LMS algorithm as a decision-directed adaptive equalizer in a communication receiver which also employs a sophisticated decoding scheme such as the Viterbi algorithm, in which the desired signal, hence the error, is not available until several symbol intervals later because of decoding delay. In such applications the implemented weight updating algorithm becomes DLMS and major penalty is reduced convergence speed. Therefore, every effort should by made to keep the delay as small as possible if it is not avoidable. In this paper we present a modified implementation in which the effects of the decoding delay can be avioded and perform some computer simulations to check the validity and the performance of the new implementation.

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변형 비분적응필터 알고리즘을 적용한 분할등화기 성능개선 (Performance Improvement of the Fractionally-Spaced Equalizer with Modified-Multiplication Free Adaptive Filter Algorithm)

  • 윤달환;김건호;김명수;임채탁
    • 전자공학회논문지B
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    • 제30B권6호
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    • pp.28-34
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    • 1993
  • An algorithm for MMADF(modified multiplication-free adaptive filter) which need not to multiplication arithmatic operation is proposed to improve the performance of FSE (fractionally spaced equalizer) which reduce the ISI(intersymbol interference) in signal transfer channel. The input signals are quantized using DPCM and the reference signals is processed using a first-order linear prediction filter. The convergence properties of Sign. MADF and M-MADF algorithm for updating of the coefficients of a FIR digital filter of the fractionally spaced equalizer (FSE) are investigated and compared with one another. The convergence properties are characterized by the steady state error and the convergence speed. It is shown that the convergence speed of M-MADF is almost same as Sign algorithm and is faster than MADF in the condition of same steady state error. Especially it is very useful for high correlated signals.

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A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter

  • Choi, Jae-Yun
    • 한국컴퓨터정보학회논문지
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    • 제23권4호
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    • pp.65-70
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    • 2018
  • This paper describes a effective information compressor algorithm for the fourth industrial technology. One of the difficult problems for outdoor is to obtain effective updating process of background images. Because input images generally contain the shadows of buildings, trees, moving clouds and other objects, they are changed by lapse of time and variation of illumination. They provide the lowering of performance for surveillance system under outdoor. In this paper, a effective information algorithm for variable environment variable under outdoor is proposed, which apply the Kalman Estimation Modeling and adaptive threshold on pixel level to separate foreground and background images from current input image. In results, the better SNR of about 3dB~5dB and about 10%~25% noise distribution rate in the proposed method. Furthermore, it was showed that the moving objects can be detected on various shadows under outdoor and better result Information.

블럭펄스함수를 이용한 MRAC설계 (The Design of MRAC using Block Pulse Functions)

  • 김진태;김태훈;안비오;이명규;심재선;안두수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 D
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    • pp.2252-2254
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    • 2001
  • This paper proposes a algebraic parameter determination of MRAC (Model Reference Adaptive Control) controller using block Pulse functions and block Pulse function's differential operation. Generally, adaption is performed by solving differential equations which describe adaptive low for updating controller parameter. The proposes algorithm transforms differential equations into algebraic equation, which can be solved much more easily in a recursive manner. We believe that proposes methods are very attractive and proper for parameter estimation of MRAC controller on account of its simplicity and computational convergence.

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PPG 기반 심박동수 추정 알고리즘 (Tracking Heart Rate Algorithm Based on PPG)

  • 백용현;이근상;박영철
    • 한국정보전자통신기술학회논문지
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    • 제2권3호
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    • pp.71-78
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    • 2009
  • 본 논문에서는 측정된 PPG 신호로부터 심박동수를 추정 하는 방법을 제시한다. PPG 신호는 현관에 흐르는 혈류량을 측정한 것으로 심장의 수축과 이완에 영향을 받아 단일 주파수적인 특성을 가지며 이러한 특성을 이용하여 PPG 주파수를 2차 IIR 적응 놋치 필터로 추적한다. 적응 알고리즘을 통하여 지속적으로 필터 계수를 갱신하여 얻어진 PPG 주파수를 바탕으로 사람의 심박동수를추정한다.

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