• 제목/요약/키워드: Distributed Control Algorithm

검색결과 466건 처리시간 0.028초

Device Discovery using Feed Forward Neural Network in Mobile P2P Environment

  • 권기현;변형기;김남용;김상춘;이형봉
    • 디지털콘텐츠학회 논문지
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    • 제8권3호
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    • pp.393-401
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    • 2007
  • P2P systems have gained a lot of research interests and popularity over the years and have the capability to unleash and distribute awesome amounts of computing power, storage and bandwidths currently languishing - often underutilized - within corporate enterprises and every Internet connected home in the world. Since there is no central control over resources or devices and no before hand information about the resources or devices, device discovery remains a substantial problem in P2P environment. In this paper, we cover some of the current solutions to this problem and then propose our feed forward neural network (FFNN) based solution for device discovery in mobile P2P environment. We implements feed forward neural network (FFNN) trained with back propagation (BP) algorithm for device discovery and show, how large computation task can be distributed among such devices using agent technology. It also shows the possibility to use our architecture in home networking where devices have less storage capacity.

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신경회로망을 이용한 퍼지제어기 설계 알고리즘에 관한 연구 (The study on the Algorithm for Desing of Fuzzy Logic Controller Using Neural Network)

  • 채명기;이상배
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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    • pp.243-248
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    • 1996
  • In this paper, a general neural-network-based connectionist model, called Fuzzy Neural Network(FNN), is proposed for the realization of a fuzzy logic control system. The proposed FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities. Such FNN can be constructed from training examples by learning rule, and the connectionist structure can be trained to develop fuzzy logic rules and find optimal input/output membership functions. Computer simulation examples will be presented to illustrate the performance and applicability of the proposed FNN, and their associated learning algorithms.

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Channel Real location Methodologies for Restorable Transmission Networks

  • Joo, Un-Gi
    • Management Science and Financial Engineering
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    • 제9권1호
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    • pp.29-49
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    • 2003
  • This paper develops channel reallocation methodologies for survival transmission networks, Any failure on a high-speed telecommunication network needs to be restored rapidly and a channel real-location methodology has an important role for the fast restoration. This paper considers the channel reallocation problems under a line restoration with distributed control, where the line restoration restores the failed channels by rerouting the channels along the two alternative routes. The objective is to determine the optimal number of rerouting channels on the alternative rerouting paths of a given transmission network, where the optimality criteria are the first, the last and the mean restoration times. For each criterion, the problem is formulated as a mixed integer programming and the optimal channel reallocation algorithm is suggested based upon the characterization of the optimal solution.

IEEE 802.11 무선랜 환경에서 실시간 트래픽의 QoS지원을 위한 스케줄링 알고리즘 제안 (Scheduling Algorithm to support QoS of Real-time Traffics in IEEE 802.11 Wireless LAN Environments)

  • 이상돈;김경준;한기준
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (A)
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    • pp.505-507
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    • 2004
  • IEEE 802.11 무선랜 표준에서 MAC(Media Access Control)은 동기와 비동기의 두 가지 타입의 서비스를 지원한다. 동기적 실시간 트래픽은 PCF(Point Coordination Function)에 의해서 폴링 엑세스 기법에 의해 처리된다. 비동기적 비실시간 트래픽은 CSMA/CA 프로토콜 기반의 DCF(Distributed Coordination function)에 의해 처리된다. 그래서 실시간 트래픽은 지연과 패킷손실에 민감하고 비실시간 트래픽은 에러와 처리율에 민감하기 때문에 적당한 트래픽 스케줄링 알고리즘이 설계되어질 필요가 있다. 하지만 IEEE 802.11 무선랜 표준은 실시간 트래픽을 효율적으로 서비스를 해주지 못하고 있다. 그래서 본 논문에서는 PCF 구간내에서 서비스를 받지 못한 실시간 트래픽 스테이션들을 DCF 구간에서 우선적으로 서비스함으로써 QoS를 향상시킬 수 있다.

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Alternating Direction Method를 이용한 최적조류계산의 분산처리 (An Efficient Implementation of Optimal Power Flow using the Alternating Direction Method)

  • 김호웅;박만근;김발호
    • 대한전기학회논문지:전력기술부문A
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    • 제48권11호
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    • pp.1424-1428
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    • 1999
  • This paper presents a mathematical decomposition coordination method to implementing the distributed optimal power flow (OPF), wherein a regional decomposition technique is adopted to parallelize the OPT. The proposed approach is based on the Alternating Direction Method (ADM), a variant of the conventional Augmented Lagrangian approach, and makes it possible the independent regional AC-OPF for each control area while the global optimum for the entire system is assured. This paper is an extension of our previous work based on the auxiliary problem principle (APP). The proposed approach in this paper is a completely new one, however, in that ADM is based on the Proximal Point Algorithm which has long been recognized as one of the attractive methods for convex programming and min-max-convex-concave programming. The proposed method was demonstrated with IEEE 50-Bus system.

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불평형을 포함한 PCC전압 유지를 위한 분산전원의 제어전략 (A Control Algorithm of Distributed Generation for Maintaining PCC Voltage even during Unbalanced Voltage Conditions)

  • 임지훈;송승호;정승기;최주엽
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2014년도 전력전자학술대회 논문집
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    • pp.457-458
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    • 2014
  • 본 논문에서는 분산전원의 출력여부와 상관없이 계통연계지점의 (PCC : Point of Common Coupling) 전압제어를 위한 새로운 알고리즘을 제안한다. 또한, PCC전압이 불평형을 포함했을 때에도 분산전원이 PCC 전압유지를 위한 보상을 할 수 있음을 제안한다. 이를 구현하기 위해 분산전원은 전압유지를 위해서는 무효분 전류를, 불평형 보상을 위해서는 역상분 전류를 이용한다. PSIM 시뮬레이션을 통해 이를 증명하였다.

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송전 손실 재분배를 고려한 최소 손실 조류 계산 알고리즘 (A Loss-Minimized Power Flow Algorithm Considering Transmission Losses Re-distribution)

  • 채명석;이명환;신중린
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 추계학술대회 논문집 학회본부A
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    • pp.223-225
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    • 1998
  • This paper presents a new approach for power flow calculation, which minimizes the transmission losses in power systems with the control of voltage magnitudes on P-V nodes. In this approach, the transmission losses are re-distributed to each P-V node, at each iteration, to reduce the effect of slack. The steepest descent method is adopted, in this study, to minimize the transmission losses augmented with penalty functions to account for voltage constraints. IEEE 14 and 30 buses test systems were used for the performance demonstration of the proposed method in this paper. The simulation results showed that the proposed method can reduce transmission losses and improve voltage profiles of power systems.

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Towards a Deep Analysis of High School Students' Outcomes

  • Barila, Adina;Danubianu, Mirela;Paraschiv, Andrei Marcel
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.71-76
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    • 2021
  • Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests.

System Realization by Using Inverse Discrete Fourier Transformation for Structural Dynamic Models

  • Kim, Hyeung Y.;W. B. Hwang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.289-294
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    • 1998
  • The distributed-parameter structures expressed with the partial differential equations are considered as the infinite-dimensional dynamic system. For implementation of a controller in multivariate systems, it is necessary to derive the state-space reduced order model. By the eigensystem realization algorithm, we can yield tile subspace system with the Markov parameters derived from the measured frequency response function by the inverse discrete Fourier transformation. We also review the necessary conditions for the convergence of the approximation system and the error bounds in terms of the singular values of Markov-parameter matrices. To determine the natural frequencies and modal damping ratios, the modal coordinate transformation is applied to the realization system. The vibration test for a smart structure is performed to provide the records of frequency response functions used in the subspace system realization.

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자재 취급 시스템을 위한 다중 에이전트 기반의 교착상태에 자유로운 AGV 시뮬레이터 개발 (Development of Multi-agent Based Deadlock-Free AGV Simulator for Material Handling System)

  • 이재용;서윤호
    • 한국시뮬레이션학회논문지
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    • 제17권2호
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    • pp.91-103
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    • 2008
  • 자동화 제조 시스템에 시뮬레이션 기법을 사용하기 인해서는 자재취급 시스템의 성과를 동적으로 측정해야만 한다. 다중 에이전트 기술은 제조시스템을 지능화 시키고, 분산처리 된 시뮬레이터 개발에 적합하다. 다중 에이전트 시스템은 하나의 조정 에이전트와 다수의 응용 에이전트들로 구성된다. AGVS 시뮬레이터에 있어 이슈는 운반차량의 대수 결정, 양단방향 흐름에서의 이동경로 결정등과 같은 set-up문제와 운영문제로 구분 지을 수 있다. 본 논문에서는 다중 에이전트 기술을 사용하고, 실시간 교착상태 해법 알고리즘이 포함된 시뮬레이터를 소개한다. 시뮬레이터는 잘 알려진 프로이드(Floyd) 알고리즘을 사용하여 AGVS의 최단 이동경로를 구성된다. 움직이고 있는 차량 에이전트는 조정 에이전트에 의해 실시간 제어로 작동되고, AGV는 경로확인 알고리즘을 사용하여 충돌과 교착상태를 피한다. AGV의 위치는 수평시간 계획법에 근거하여 동적으로 재계산된다. 충돌해소 알고리즘은 어떠한 배치 형태에서라도, 그리고 큰 규모의 문제에서도 AGVS의 운영 중의 주행문제 해결을 보장한다. 시뮬레이터는 AGV들의 AGVS 칸트차트를 통하여 작동정보를 받고, 표현한다. 제안된 알고리즘의 성과와 다중 에이전트 기술을 사용하여 개발한 시뮬레이터는 실험을 통하여 검증된다.

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