• Title/Summary/Keyword: Flexible Network

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FMS의 분석을 위한 대기 네트웍의 모형들에 관하여

  • 김성철
    • Korean Management Science Review
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    • v.4
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    • pp.60-75
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    • 1987
  • This paper introduces the outlines of the state-of-the-art in studying FMSs using analytical queueing network models. These include Jackson networks, reversible networks and approximate models of non-product-form networks. the focus is on identifying the major features of models as they relate to the operational characteristics of FMSs. Prescriptive models concerning the optimal design and/or operational control of FMS networks are also discussed. We notice that the presentation of materials in this paper basically follows Yao and Buzacott, On Queueing Network Models of Flexible Manufacturing Systems(FMSs), invited and published on Queueing Systems, Theory and Application 1(1986). For other analytical models of FMSs, refer to Buzacott and Yao, Flexible Manufacturing Systems : A Review of Analytical Models, Management Science 32, No.7(1986).

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The Robust Pattern Recognition System for Flexible Manufacture Automation (유연 생산 자동화를 위한 Robust 패턴인식 시스템)

  • Wi, Young-Ryang;Kim, Mun-Hwa;Jang, Dong-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.24 no.2
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    • pp.223-240
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    • 1998
  • The purpose of this paper is to develop the pattern recognition system with a 'Robust' concept to be applicable to flexible manufacture automation in practice. The 'Robust' concept has four meanings as follows. First, pattern recognition is performed invariantly in case the object to be recognized is translated, scaled, and rotated. Second, it must have strong resistance against noise. Third, the completely learned system is adjusted flexibly regardless of new objects being added. Finally, it has to recognize objects fast. To develop the proposed system, contouring, spectral analysis and Fuzzy ART neural network are used in this study. Contouring and spectral analysis are used in preprocessing stage, and Fuzzy ART is used in object classification stage. Fuzzy ART is an unsupervised neural network for solving the stability-plasticity dilemma.

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Adaptive balancing of highly flexible rotors by using artificial neural networks

  • Saldarriaga, M. Villafane;Mahfoud, J.;Steffen, V. Jr.;Der Hagopian, J.
    • Smart Structures and Systems
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    • v.5 no.5
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    • pp.507-515
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    • 2009
  • The present work is an alternative methodology in order to balance a nonlinear highly flexible rotor by using neural networks. This procedure was developed aiming at improving the performance of classical balancing methods, which are developed in the context of linearity between acting forces and resulting displacements and are not well adapted to these situations. In this paper a fully experimental procedure using neural networks is implemented for dealing with the adaptive balancing of nonlinear rotors. The nonlinearity results from the large displacements measured due to the high flexibility of the foundation. A neural network based meta-model was developed to represent the system. The initialization of the learning procedure of the network is performed by using the influence coefficient method and the adaptive balancing strategy is prone to converge rapidly to a satisfactory solution. The methodology is tested successfully experimentally.

Optimal Planning of Multiple Routes in Flexible Manufacturing System (유연생산 시스템의 최적 복수 경로 계획)

  • Kim Jeongseob
    • Journal of the Korean Operations Research and Management Science Society
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    • v.29 no.4
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    • pp.175-187
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    • 2004
  • We consider the simultaneous selection of part routes for multiple part types in Flexible Manufacturing Systems (FMSs). Using an optimization framework we investigate two alternative route assignment policies. The one, called routing mix policy in the literature, specifies the optimal proportion of each part type to be produced along its alternative routes, assuming that the proportions can be kept during execution. The other one, which we propose and call pallet allocation policy, partitions the pallets assigned to each part type among the routes. The optimization framework used is a nonlinear programming superimposed on a closed queueing network model of an FMS which produces multiple part types with distinct repeated visits to certain workstations. The objective is to maximize the weighted throughput. Our study shows that the simultaneous use of multiple routes leads to reduced bottleneck utilization, improved workload balance, and a significant increase in the FMS's weighted throughput, without any additional capital investments. Based on numerical work, we also conjecture that pallet allocation policy is more robust than routing mix policy, operationally easier to implement, and may yield higher revenues.

Multicast support for mobile nodes by using SIP and Xcast (SIP과 Xcast를 이용한 이동 멀티캐스트 지원 방안)

  • Nam, Seahyeon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.8
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    • pp.27-33
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    • 2004
  • A new multicast scheme for mobile nodes is proposed to support real-time communication in a more efficient way. In the proposed multicast scheme, the Xcast (a very flexible data plane mechanism) is integrated with the SIP (a very flexible control plane protocol) to support multicast for mobile nodes. The simulation results verify that the proposed scheme reduces unnecessary network traffic and achieves low latency of packets in the network.

Design of adaptive ontology middleware in sensor network (센서 네트워크 적응형 온톨로지 미들웨어에 대한 디자인)

  • Jeong, Hee-Jin;Choi, Kee-Hyun;Jeong, Yi-Seok;Shin, Dong-Ryeol
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.95-96
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    • 2007
  • Recently, flexible communication is issued because of implementation of both communicable small and equipment wireless networks environment. Similarly diverse small equipment, from wireless LAN to sensor, have different data format as network access. So, middleware that support flexible communication is necessary. Also it is important that information format of diverse sensor(raw data) converts to information usable in application.

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Summary on Internet Communication Network Quality Characteristics Using Beta Probability Distribution (베타 확률분포를 이용한 인터넷통신 네트워크 품질특성 요약)

  • Park Sung-Min
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1661-1662
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    • 2006
  • Internet communication network quality characteristics are analyzed using Beta probability distribution. Beta probability distribution is chosen for the underlying probability distribution because it is an extremely flexible probability distribution used to model bounded random variables. Based on the fitted Beta probability distribution, a dataset regarding each network quality characteristic is summarized concisely.

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Analysis of Pressure Fluctuations in Oil Hydraulic Pipe Network (유압 관로망에서의 압력 맥동 해석)

  • 이일영;정용길;양경욱
    • Journal of Ocean Engineering and Technology
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    • v.11 no.4
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    • pp.152-158
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    • 1997
  • An analyzing method for pressure fluctuations in oil hydraulic pipe network was developed in this study. The object pipe network has multi-branch configuration, and the pipelines of it are composed of steel tubes, flexible hoses. Also, accumulators, orifices and lumped oil volume components are attached on it. Transfer matrix method, in other words impedance method, was used for the analysis. The reliability and usefulness of the analyzing method were confirmed by investigation computed results and experimental results got in this study.

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Anattical Perfowmnce Modeling of Multi-class QoS IP Router (다중클래스 QoS를 지원하는 IP라우터의 성능분석을 위한 해석적 모델의 구현)

  • 진승의;김태일;이형호
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.257-260
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    • 2001
  • As today's network infrastructure continues to grow and DiffServ IP networks ate now available to provide various levels of flexible QoS services. DiffServ guarantees good scalability but shows dynamic QoS dependent on network traffic loads. Therefore, in this paper, we investigate the dynamics of DiffSev QoS and present analytical model to estimate the allowable traffic load under the given network conditions.

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Bandwidth-Adaptive Video Transmission Method for Heterogeneous Network Environment

  • Sakazawa, S.;Takishima, Y.;Wada, M.;Amano, K.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.49-54
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    • 1997
  • For the purpose of a flexible coded video transmission over a heterogeneous network, we propose a new packetization method for coded video data. The proposed method achieves small degradation of coded picture quality in case of packet discard at the network node and does not require heavy processing load for bitrate control operation. Computer simulation results show that the bitrate reduction from 384 kb/s to 192 kb/s does not cause severe degradation in picture quality.

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