• Title/Summary/Keyword: Optimal Network Design

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Design of tracking controller Using Artificial Neural Network & comparison with an Optimal Track ing Controller (인공 신경회로망을 이용한 추적 제어기의 구성 및 최적 추적 제어기와의 비교 연구)

  • Park, Young-Moon;Lee, Gue-Won;Choi, Myoen-Song
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.51-53
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    • 1993
  • This paper proposes a design of the tracking controller using artificial neural network and the compare the result with a result of optimal controller. In practical use, conventional Optimal controller has some limits. First, optimal controller can be designed only for linear system. Second, for many systems state observation is difficult or sometimes impossible. But the controller using artificial neural network does not need mathmatical model of the system including state observation, so it can be used for both linear and nonlinear system with no additional cost for nonlinearity. Designed multi layer neural network controller is composed of two parts, feedforward controller gives a steady state input & feedback controller gives transient input via minimizing the quadratic cost function. From the comparison of the results of the simulation of linear & nonlinear plant, the plant controlled by using neural network controller shows the trajectory similar to that of the plant controlled by an optimal controller.

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A Study on the Pipe Network System Design Using Non-Linear programming (비선형 계획법을 이용한 상수도 관망설계에 관한 연구)

  • 김정환;김태균
    • Water for future
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    • v.27 no.4
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    • pp.59-67
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    • 1994
  • The objective of this study is to develop a method which can design an optimal pipe network system using nonlinear programming(NLP) technique. The method finds the minimum-cost pipe network while satisfying all the design constraints including hydraulic constraints. The method developed in this study was applied to the Goyang distribution area in Goyang, Kyoungi-do. It has been found in the application and the comparison between the original design and the optimal design of this study that the optimal design method developed in this study does not require the trial-and-error procedure while satisfying the discharge and pressure requirements at the demanding nodes. Therefore, the optimal design method using NLP could be effectively utilized in the practical design considering economic aspect of the pipe network system at the same time.

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An Optimal Design of Paddy Irrigation Water Distribution System

  • Ahn, Tae-Jin;Park, Jung-Eung
    • Korean Journal of Hydrosciences
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    • v.6
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    • pp.107-118
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    • 1995
  • The water distribution system problem consists of finding a minimum cost system design subject to hydraulic and operation constraints. The design of new branchin network in a paddy irrigation system is presented here. The program based on the linear programming formulation is aimed at finding the optimal economical combination of two main factors : the capital cost of pipe network and the energy cost. Two loading conditions and booster pumps for design of pipe network are considered to obtain the least cost design.

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Optimal Piping Network Design of Pneumatic Waste Collection System (생활폐기물 자동집하시설의 관로망 최적 설계)

  • Sung, Sun-Kyung;Suh, Sang-Ho
    • The KSFM Journal of Fluid Machinery
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    • v.13 no.3
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    • pp.54-58
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    • 2010
  • The pneumatic waste collection system, which is a complete solution for solving the waste collection problems, are constructed in many countries all over the world. However, research data for piping network design are insufficient. In this paper the pressure losses of the straight and curved pipes, pipe junctions are obtained using the numerical method in order to investigate the optimal pipe network design for the waste collection system. As an experimental result, the length of 1.8 meter is the reasonable for the radius of curvature of a curved pipe and the angle of 30 degree is suitable for confluent pipe.

Optimal Piping Network Design of Pneumatic Waste Collection System (생활폐기물 자동집하시설의 관로망 최적설계)

  • Park, Jun-Gil;Suh, Sang-Ho;Cho, Min-Tae
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.2794-2797
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    • 2008
  • The pneumatic waste collection system, which is a complete solution for solving the waste collection problems, are constructed in many countries all over the world. However, research data for piping network design are insufficient. In this paper the pressure losses of the straight and curved pipes, pipe junctions are obtained using the numerical method in order to investigate the optimal pipe network design for the waste collection system.

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A Practical Approach for Optimal Design of Pipe Diameters in Pipe Network (배관망에서의 파이프 직경 최적설계에 대한 실용적 해법)

  • Choi Chang-Yong;Ko Sang-Cheol
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.8
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    • pp.635-640
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    • 2006
  • An optimizer has been applied for the optimal design of pipe diameters in the pipe flow network problems. Pipe network flow analysis, which is developed separately, is performed within the interface for the optimization algorithm. A pipe network is chosen for the test, and optimizer GenOpt is applied with Holder-Mead-O'Niell's simplex algorithm after solving the network flow problem by the Newton-Raphson method. As a result, optimally do-signed pipe diameters are successfully obtained which minimize the total design cost. Design cost of pipe flow network can be considered as the sum of pipe installation cost and pump operation cost. In this study, a practical and efficient solution method for the pipe network optimization is presented. Test system is solved for the demonstration of the present optimization technique.

A Design Problem of a Two-Stage Cyclic Queueing Network (두 단계로 구성된 순환대기네트워크의 설계)

  • Kim Sung-Chul
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.1
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    • pp.1-13
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    • 2006
  • In this paper we consider a design problem of a cyclic queueing network with two stages, each with a local buffer of limited capacity. Based on the theory of reversibility and product-form solution, we derive the throughput function of the network as a key performance measure to maximize. Two cases are considered. In case each stage consists of a single server, an optimal allocation policy of a given buffer capacity and work load between stages as well as the optimal number of customers is identified by exploiting the properties of the throughput function. In case each stage consists of multiple servers, the optimal policy developed for the single server case doesn't hold any more and an algorithm is developed to allocate with a small number of computations a given number of servers, buffer capacity as well as total work load and the total number of customers. The differences of the optimal policies between two cases and the implications of the results are also discussed. The results can be applied to support the design of certain manufacturing and computer/communication systems.

Optimal Design of LVQ Network using the Winning Expectation of Output Neurons of SOM (SOM의 출력 뉴런의 승리 기대값을 이용한 LVQ 네트워크의 최적 설계)

  • 정경권;엄기환;이용구;손동설
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1267-1270
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    • 2003
  • In this paper, we propose a optimal design method of the LVQ network. The proposed method determines the initial reference vectors and optimal network structure using the winning expectation of output neurons of SOM. In order to verify the effectiveness of the proposed method, we performed experiments on the Fisher's IRIS data. The experimental results showed that the proposed method improves considerably on the performance of the conventional LVQ networks.

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Die Shape Design for Cold Forged Products Using the Artificial Neural Network (신경망을 이용한 냉간단조품의 금형형상 설계)

  • Kim, D.J;Kim, T.H;Kim, B.M;Choi, J.C
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.5
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    • pp.727-734
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    • 1997
  • In practice, the design of forging processes is performed based on an experience-oriented technology, that is designer's experience and expensive trial and errors. Using the finite element simulation and the artificial neural network, we propose an optimal die geometry satisfying the design conditions of final product. A three-layer neural network is used and the back propagation algorithm is employed to train the network. An optimal die geometry that satisfied the same between inner extruded rib and outer extruded one is determined by applying the ability of function approximation of neural network. The neural networks may reduce the number of finite element simulation for determine the optimal die geometry of forging products and further they are usefully applied to physical modelling for the forging design.

Optimal design of the network service for the Electric Power Automation IT Infra. (전력자동화 통신망 인프라를 이용한 네트워크 서비스 최적 구축 방안)

  • Park, Soo-Hwan
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.730-731
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    • 2011
  • EPA(Electric Power Automation IT Infra) is a System for Protective Information Transmitter & Receiver and network service. KEPCO(Korea Electric Power Corporation) is building up a high-speed communication network to accept Smart Grid Infra expansion and various terminal communication media characteristic. Recently, MSPP(Multi Service Provisioning Platform) System is establishted to network service. But there are many considerations for optimal design of network service for the Electric Power Automation IT Infra.

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