• 제목/요약/키워드: Flow Network System

검색결과 962건 처리시간 0.038초

고속열차(KTX)의 TORNAD 네트워크시스템 데이터 분석방법 연구 (Research on data analysis method of KTX TORNAD network system)

  • 김형인;정성윤;김현식;정도원;김한도
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 춘계학술대회 논문집
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    • pp.1032-1038
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    • 2008
  • KTX train system is composed of TORNAD* network for transmitting information of train's internal equipments and OBCS which proceed information within train. OBCS of one trainset consisted of 28 equipments takes intelligent and dynamic composition according to equipment handling, train command and control flow. Each OBCS which is installed within trainset handle and supervise mutually action information about equipments, transmit it to driver to transmit information about train operation and preventive management. This mutual supervision and information transmission use KTX TORNAD* network system. TORNAD* network system is the one which is uniquely developped by GEC ALSTHOM, the KTX trainset manafacturing provider and this field is excluded from technical know-how transfer item. Through the research on analysis method of KTX TORNAD* system data structure which is operating on Seoul-Pusan Line, I hope that this thesis can contribute to train network system's standardization after applying it to improvement of train network system maintenance, enhancing quality of train service and applying it to future Korean rolling stock network system development.

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시스템 다이내믹스 모델을 이용한 인터넷 포털 사이트의 네트워크 효과 분석 (A System Dynamics Model Approach for the Analysis of the Network Effect of the Internet Portal Sites)

  • 이강배;정재운;이운식;주철민
    • 한국시스템다이내믹스연구
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    • 제9권1호
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    • pp.73-92
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    • 2008
  • Internet portal sites have served customers for more than a decade in Korea. There have been several such sites have survived, succeeded and led the internet industry. What is the source of their competitiveness? We assumed that the network effect, which can vary dynamically, is an important factor; so we tried to build and analyze a system dynamics model on portal sites that represent their advertising business model. This model includes not only the network effect, but also customer's' expectations of the quality of portal sites, which also varies dynamically. As a result of our research, we can state that the network effect is important to stabilize and increase portal sites' quality, market share, income and cash flow. And we know that investment at a level above that which is merely required is necessary to preserve and stabilize their business.

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Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

  • Mahdad, Belkacem;Bouktir, T.;Srairi, K.
    • Journal of Electrical Engineering and Technology
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    • 제4권3호
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    • pp.315-322
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    • 2009
  • Penetration and installation of a new dynamic technology known as Flexible AC Transmission Systems (FACTS) in a practical and dynamic network requires and force expert engineer to develop robust and flexible strategy for planning and control. Unified Power Flow Controller (UPFC) is one of the recent and effective FACTS devices designed for multi control operation to enhance the power system security. This paper presents a dynamic strategy based on Particle Swarm Optimization (PSO) for optimal parameters setting of UPFC to enhance the system loadability. Firstly, we perform a multi power flow analysis with load incrementation to construct a global database to determine the initial efficient bounds associated to active power and reactive power target vector. Secondly a PSO technique applied to search the new parameters setting of the UPFC within the initial new active power and reactive power target bounds. The proposed approach is implemented with Matlab program and verified with IEEE 30-Bus test network. The results show that the proposed approach can converge to the near optimum solution with accuracy, and confirm that flexible multi-control of this device coordinated with efficient location enhance the system security of power system by eliminating the overloaded lines and the bus voltage violation.

수질오염총량관리를 위한 4대강수계 장기유황곡선 작성방안 (Development of Long Term Flow Duration Curves in 4 River Basins for the Management of Total Maximum Daily Loads)

  • 박준대;오승영
    • 한국물환경학회지
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    • 제29권3호
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    • pp.343-353
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    • 2013
  • Flow duration curve (FDC) can be developed by linking the daily flow data of stream flow monitoring network to 8-day interval flow data of the unit watersheds for the management of Total Maximum Daily Loads. This study investigated the applicable method for the development of long term FDC with the selection of the stream flow reference sites, and suggested the development of the FDC in 4 river basins. Out of 142 unit watersheds in 4 river basins, 107 unit watersheds were shown to estimate daily flow data for the unit watersheds from 2006 to 2010. Short term FDC could be developed in 64 unit watersheds (45%) and long term FDC in 43 unit watersheds (30%), while other 35 unit watersheds (25%) were revealed to have difficulties in the development of FDC itself. Limits in the development of the long term FDC includes no stream monitoring sites in certain unit watersheds, short duration of stream flow data set and missing data by abnormal water level measurements on the stream flow monitoring sites. To improve these limits, it is necessary to install new monitoring sites in the required areas, to keep up continuous monitoring and make normal water level observations on the stream flow monitoring sites, and to build up a special management system to enhance data reliability. The development of long term FDC for the unit watersheds can be established appropriately with the normal and durable measurement on the selected reference sites in the stream flow monitoring network.

The Design of Router Security Management System for Secure Networking

  • Jo, Su-Hyung;Kim, Ki-Young;Lee, Sang-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1594-1597
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    • 2005
  • A rapid development and a wide use of the Internet have expanded a network environment. Further, the network environment has become more complex due to a simple and convenient network connection and various services of the Internet. However, the Internet has been constantly exposed to the danger of various network attacks such as a virus, a hacking, a system intrusion, a system manager authority acquisition, an intrusion cover-up and the like. As a result, a network security technology such as a virus vaccine, a firewall, an integrated security management, an intrusion detection system, and the like are required in order to handle the security problems of Internet. Accordingly, a router, which is a key component of the Internet, controls a data packet flow in a network and determines an optimal path thereof so as to reach an appropriate destination. An error of the router or an attack against the router can damage an entire network. This paper relates to a method for RSMS (router security management system) for secure networking based on a security policy. Security router provides functions of a packet filtering, an authentication, an access control, an intrusion analysis and an audit trail in a kernel region. Security policy has the definition of security function against a network intrusion.

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Window Flow 제어기능을 가진 음성/데이타 패킷통신망의 성능해석 (Performance Analysis of an Integrated Voice/Data Packet Communication Network with Window Flow Control)

  • 손수현;은종관
    • 한국통신학회논문지
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    • 제11권4호
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    • pp.227-236
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    • 1986
  • 본 논문에서는 window flow 제어기능을 가진 음성과 데이터가 집적된 패킷 통신망을 폐쇄 multichain queueing 시스템으로 modeling하고 평균치해석 방법으로 성능을 분석하였다. 서로 다른 priority 등급을 가진 여러가지 메시지를 전송하기 위한 패킷망 성능해석을 위해서 본 논문에서는 평균치해석과 effective capacity개념에 의한 성능해석 방법을 사용하였다. 구체적으로 각 노드에서의 평균 buffer 점유율, virtual channel의 link throughput의 이용도, 각 메세지의 평균지연시간등 망의 통계적 특성들을 이론으로 분석하고 simulation으로 검증하였다. 제안된 해석방법을 사용할 경우 link의 데이타의 상태를 10%이내의 정확도로 예측할 수 있고 음성 메시지와 외부 데이타의 상태는 5% 이내으 ㅣ정확도로 예측할 수 있다.

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FACTS 비선형 지능 제어기 설계 (Design of Nonlinear FACTS Controller with intelligent Algorithm)

  • 박성욱;서보혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 A
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    • pp.33-35
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    • 2000
  • We propose a intelligent controller for FACTS(Flexible AC Transmission System) device to stabilize a power system. In order to identify the nonlinear characteristics of the power system and to estimate a control signal, an artificial neural network is utilized. The control signal which is provided for FACTS device installed in the network is produced. The proposed controller is applied to Unified Power Flow Controller(UPFC) to verified the effectiveness of the proposed control system. The results show that the proposed nonlinear FACTS controller is able to enhance the transient stability of three machine nine bus power system.

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광대역 홈 네트워크 서비스를 위한 광 가입자 수신 시스템 설계 (A Design of the Optical Fiber Subscriber Receiving System for the Wide-band Home Network Service)

  • 송홍종
    • 정보통신설비학회논문지
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    • 제8권4호
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    • pp.182-194
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    • 2009
  • The optical fiber subscriber receive communication system is multimedia home network core technology because it is providing the high-level data quality and service. Therefore, it is required to analyze and research this communication system. This paper presents the theoretical background of the optical fiber subscriber receive system for the purpose of understanding the optical communication system principle, and then explain the flow of signal process of each block divided for ASIC implementation.

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뉴로퍼지를 이용한 자율운송시스템의 차량합류제어 (Neuro-Fuzzy control of converging vehicles for automated transportation systems)

  • 류세희;박장현
    • 제어로봇시스템학회논문지
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    • 제5권8호
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    • pp.907-913
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    • 1999
  • For an automated transportation system like PRT(Personal Rapid Transit) system or IVHS, an efficient vehicle-merging algorithm is required for smooth operation of the network. For management of merging, collision avoidance between vehicles, ride comfort, and the effect on traffic should be considered. This paper proposes an unmanned vehicle-merging algorithm that consists of two procedures. First, a longitudinal control algorithm is designed to keep a safe headway between vehicles in a single lane. Secondly, 'vacant slot and ghost vehicle' concept is introduced and a decision algorithm is designed to determine the sequence of vehicles entering a converging section considering energy consumption, ride comfort, and total traffic flow. The sequencing algorithm is based on fuzzy rules and the membership functions are determined first by an intuitive method and then trained by a learning method using a neural network. The vehicle-merging algorithm is shown to be effective through simulations based on a PRT model.

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공기 냉각 시스템의 홴 소음 예측 기법 (Fan Noise Prediction Method of Air Cooling System)

  • 이찬;길현권
    • 한국소음진동공학회논문집
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    • 제18권9호
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    • pp.952-960
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    • 2008
  • Fan noise prediction method is presented for air conditioning, automobile and electronic cooling system applications where fan acts as an internal equipment having very complicated flow interaction with other various system components. The internal flow paths and distribution in the fan-applied systems such as computer or air conditioner are analyzed by using the FNM(flow network modeling). Fan noise prediction method comprises two models for the discrete frequency noise due to rotating steady aerodynamic lift and blade interaction and for the broadband noise due to turbulent boundary layer and wake vortex shedding. Based on the fan operation point predicted from the FNM analysis results and fan design parameters, the present far noise model predicts overall sound pressure level and spectrum. The predictions for the flow distribution, the fan operation and the noise level in air cooling system by the present method are well agreed with 3-D CFD and actual noise test results.