• Title/Summary/Keyword: dual problems

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ARM11 을 이용한 MoIP 월패드 플랫폼 구현 (Design and Implementation MoIP Wall-pad platform using ARM11)

  • 정용국;김대성;허광선;권민수;최영규
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.46-49
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    • 2011
  • This paper is to implement MoIP platform to send and receive video and audio at the same time by using high-performance Dual Core Processor. Even if Wall-Pad key component of a home network system is released by using embedded processors, it's lacking of performance in terms of multimedia processing and feature of video telephony through which video and voice are exchanged simultaneously. The main reason could be that embedded processors currently being used do not provide enough performance to support both MoIP call features and various home network features simultaneously. In order to solve these problems, Dual processor could be used, but in the other hands it brings another disadvantage of high cost. Therefore, this study is to solve the home automation features and video telephony features by using Dual Core Processor based on ARM 11 Processor and implement the MoIP Wall-Pad which can reduce the board design costs and component costs, and improve performance. The platform designed and implemented in this paper verified performance of MoIP to exchange the video and voice at the same time under the situation of Ethernet network.

로버스트 설계에 대한 최적화 방안 (A Optimization Procedure for Robust Design)

  • 권용만;홍연웅
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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    • pp.556-567
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    • 1998
  • Robust design in industry is an approach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used the signal-to-noise ratio(SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Taguchi has dealt with having constraints on both the mean and variability of a characteristic (the dual response problem) by combining information on both mean and variability into an SN. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design to solve the dual response problems without resorting to SN. Two examples illustrate this procedure. in the two different experimental design(product array, combined array) approaches.

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A Distributed Power Allocation Scheme for Base Stations Powered by Retailers with Heterogeneous Renewable Energy Sources

  • Jeon, Seung Hyun;Lee, Joohyung;Choi, Jun Kyun
    • ETRI Journal
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    • 제38권4호
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    • pp.746-756
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    • 2016
  • Owing to the intermittent power generation of renewable energy sources (RESs), future wireless cellular networks are required to reliably aggregate power from retailers. In this paper, we propose a distributed power allocation (DPA) scheme for base stations (BSs) powered by retailers with heterogeneous RESs in order to deal with the unreliable power supply (UPS) problem. The goal of the proposed DPA scheme is to maximize our well-defined utility, which consists of power satisfaction and unit power costs including added costs as a non-subscriber, based on linear and quadratic cost models. To determine the optimal amount of DPA, we apply dual decomposition, which separates the master problem into sub-problems. Optimal power allocation from each retailer can be obtained by iteratively coordinating between the BSs and retailers. Finally, through a mathematical analysis, we show that the proposed DPA can overcome the UPS for BSs powered from heterogeneous RESs.

두개의 Extended Kalman Filter를 이용한 Recurrent Neural Network 학습 알고리듬 (A Learning Algorithm for a Recurrent Neural Network Base on Dual Extended Kalman Filter)

  • 송명근;김상희;박원우
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.349-351
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    • 2004
  • The classical dynamic backpropagation learning algorithm has the problems of learning speed and the determine of learning parameter. The Extend Kalman Filter(EKF) is used effectively for a state estimation method for a non linear dynamic system. This paper presents a learning algorithm using Dual Extended Kalman Filter(DEKF) for Fully Recurrent Neural Network(FRNN). This DEKF learning algorithm gives the minimum variance estimate of the weights and the hidden outputs. The proposed DEKF learning algorithm is applied to the system identification of a nonlinear SISO system and compared with dynamic backpropagation learning algorithm.

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CONTINUOUS PROGRAMMING CONTAINING SUPPORT FUNCTIONS

  • Husain, I.;Jabeen, Z.
    • Journal of applied mathematics & informatics
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    • 제26권1_2호
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    • pp.75-106
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    • 2008
  • In this paper, we derive necessary optimality conditions for a continuous programming problem in which both objective and constraint functions contain support functions and is, therefore, nondifferentiable. It is shown that under generalized invexity of functionals, Karush-Kuhn-Tucker type optimality conditions for the continuous programming problem are also sufficient. Using these optimality conditions, we construct dual problems of both Wolfe and Mond-Weir types and validate appropriate duality theorems under invexity and generalized invexity. A mixed type dual is also proposed and duality results are validated under generalized invexity. A special case which often occurs in mathematical programming is that in which the support function is the square root of a positive semidefinite quadratic form. Further, it is also pointed out that our results can be considered as dynamic generalizations of those of (static) nonlinear programming with support functions recently incorporated in the literature.

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"Pool-the-Maximum-Violators" Algorithm

  • Kikuo Yanagi;Akio Kudo;Park, Yong-Beom
    • Journal of the Korean Statistical Society
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    • 제21권2호
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    • pp.201-207
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    • 1992
  • The algorithm for obtaining the isotonic regression in simple tree order, the most basic and simplest model next to the simple order, is considered. We propose to call it "Pool-the-Maximum-Violators" algorithm (PMVA) in conjunction with the "Pool-Adjacent-Violators" algorithm (PAVA) in the simple order. The dual problem of obtaining the isotonic regression in simple tree order is our main concern. An intuitively appealing relation between the primal and the dual problems is demonstrated. The interesting difference is that in simple order the required number of pooling is at least the number of initial violating pairs and any path leads to the solution, whereas in the simple tree order it is at most the number of initial violators and there is only one advisable path although there may be some others leading to the same solution.o the same solution.

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EFFICIENT PARAMETERS OF DECOUPLED DUAL SINGULAR FUNCTION METHOD

  • Kim, Seok-Chan;Pyo, Jae-Hong
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제13권4호
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    • pp.281-292
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    • 2009
  • The solution of the interface problem or Poisson problem with concave corner has singular perturbation at the interface corners or singular corners. The decoupled dual singular function method (DDSFM) which exploits the singular representations of the solutions was suggested in [3, 9] and estimated optimal accuracy in [10]. The convergence rates consist with theoretical results even for the problems with very strong singularity, with the efficiency depending on parameters used in the methods. Furthermore the errors in $L^2$ and $L^\infty$-spaces display some oscillation, in the cases with meshsize not small enough. In this paper, we present an answer to remove the oscillation via numerical experiments. We observe the effects of parameters in DDSFM, and show the consisting efficiency of the method over the strong singularity.

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로버스트 설계에 대한 최적화 방안 (An Optimization Procedure for Robust Design)

  • 권용만;홍연웅
    • 품질경영학회지
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    • 제26권4호
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    • pp.88-100
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    • 1998
  • Robust design in industry is an a, pp.oach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used the signal-to-noise raio(SN) to achieve the a, pp.opriate set of operating conditions where variablity around target is low in the Taguchi parameter design. Taguchi has dealt with having constraints on both the mean and variability of a characteristic (the dual response problem) by combining information on both mean and variability into an SN. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design to solve the dual response problems without resorting to SN. Two examples illustrate this procedure in the two different experimental design(product array, combined array) a, pp.oaches.

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일본의 자동화 터미널 시설계 소개 (Instroduction of Automatic Container Terminal designed by Japan)

  • 정영석;진규호
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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    • pp.19-49
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    • 1998
  • I try to introduce three types of designs for automatic container operating system which are designed by Institute of Japan Port Research in 1996. Each types are designedto fit with the situations of Japan Port. 'A'type of these designs adapts Dual Container Crane, AGV, RMG, etc. 'B'type of these designs adapts Dual Container Crane, AGV, OHBC, RTG. And 'C'type of these designs adapts Single Container Crane, AGV, OHBC, etc. Even if three designs are introduced, they have some problems to solve for the future. They are Lashing work, Refeer container problem, check for container and seal in main gate, Establishing EDI NETWORK, etc. I expect that this paper will be a helps to development of our port industry.

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원쌍대 내부점기법에서 초기해 선정과 중심화 힘을 이용한 개선 방향의 수정 (Finding an initial solution and modifying search direction by the centering force in the primal-dual interior point method)

  • 성명기;박순달
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.530-533
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    • 1996
  • This paper deals with finding an initial solution and modifying search direction by the centrering force in the predictor-corrector method which is a variant of the primal-dual barrier method. These methods were tested with NETLIB problems. Initial solutions which are located close to the center of the feasible set lower the number of iterations, as they enlarge the step length. Three heuristic methods to find such initial solution are suggested. The new methods reduce the average number of iterations by 52% to at most, compared with the old method assigning 1 to initial valurs. Solutions can move closer to the central path fast by enlarging the centering force in early steps. It enlarge the step length, so reduces the number of iterations. The more effective this method is the closer the initial solution is to the boundary of the feasible set.

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