• 제목/요약/키워드: High-speed Network Society

검색결과 711건 처리시간 0.025초

Implementation of High Performance Messaging Layer for Multi-purpose Clustering System (다목적 클러스터링 시스템을 위한 고속 메시징 계층 구현)

  • Park, Jun-Hui;Mun, Gyeong-Deok;Kim, Tae-Geun;Jo, Gi-Hwan
    • The Transactions of the Korea Information Processing Society
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    • 제7권3호
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    • pp.909-922
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    • 2000
  • High sped messaging layer for application's feeling of low level network performance is needed by Clustering System based on high speed network fabrics. It should have the mechanism to directly pass messages between network card and application space, and provide flexible affodabilities for many diverse applications. In this paper, CROWN (Clustering Resources On Workstations' Network) which is designed and implemented for multi-purpose clustering system will be introduced briefly, and CLCP(CROWN Lean Communication Primitives)which is the high speed messaging layer for CROWN will be followed. CLCP consists of a firmware for controlling Myrinet card, device drier, and user libraries. CLCP supports various application domains as a result of pooling and interrupt receive mechanism. In case of polling based receive, 8 bytes short message, and no other process, CLCP has 262 micro-second response time between two nodes, and IM bytes large message, it shows 442Mbps bandwidth.

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Conceptual Design of Train System for Parcel Service of High Speed Railway (소화물 고속수송을 위한 철도차량 시설계획)

  • Kim Hyun-Woong
    • Proceedings of the KSR Conference
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    • 한국철도학회 2005년도 춘계학술대회 논문집
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    • pp.1105-1108
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    • 2005
  • In oder to develope a train system for parcel service of high speed railway, which had been proposed for the operation of a high speed train, its conceptual design was build. Through this system, we are able to expect the fulfillment of customer needs for high speed rail market segments, and enhancement for cost-effective rail network operation of the mixed traffic on infrastructure cost-reduction in national logistics.

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Application of an Artificial Neural Network Model to Obtain Constitutive Equation Parameters of Materials in High Speed Forming Process (고속 성형 공정에서 재료의 구성 방정식 파라메터 획득을 위한 인공신경망 모델의 적용)

  • Woo, M.A.;Lee, S.M.;Lee, K.H.;Song, W.J.;Kim, J.
    • Transactions of Materials Processing
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    • 제27권6호
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    • pp.331-338
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    • 2018
  • Electrohydraulic forming (EHF) process is a high speed forming process that utilizes the electric energy discharge in fluid-filled chamber to deform a sheet material. This process is completed in a very short time of less than 1ms. Therefore, finite element analysis is essential to observe the deformation mechanism of the material in detail. In addition, to perform the numerical simulation of EHF, the material properties obtained from the high-speed status, not quasi static conditions, should be applied. In this study, to obtain the parameters in the constitutive equation of Al 6061-T6 at high strain rate condition, a surrogate model using an artificial neural network (ANN) technique was employed. Using the results of the numerical simulation with free-bulging die in LS-DYNA, the surrogate model was constructed by ANN technique. By comparing the z-displacement with respect to the x-axis position in the experiment with the z-displacement in the ANN model, the parameters for the smallest error are obtained. Finally, the acquired parameters were validated by comparing the results of the finite element analysis, the ANN model and the experiment.

The Corridor Development of Eurasia High-Speed Railway Network (유라시아 고속철도의 Corridor 개발에 관한 연구)

  • Lee Yong-Jae
    • Proceedings of the KSR Conference
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    • 한국철도학회 2004년도 춘계학술대회 논문집
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    • pp.461-471
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    • 2004
  • The primary objective of this paper is to investigate the corridor of Eurasia High-Speed Railway Network from the governmental view of the Republic of Korea, whose High-Speed Train has been recently operated. The country is also expected to figure out the changes of Eurasia infrastructure system under the assumption that Trans-Korean Railway is connected to the Continent. As a result of research, the corridor connecting the TKR to TSR seems to be more attractive to the Republic of Korea than that of the TKR-TCR under the current economic and operational environments. However, even in a case, the railway linkage through the TSR between Europe and Asia should remain a supplementary means of the sea transportation route. Lastly, TSR may need a program of structural reforms, in order to continuously provide preferable services like the Pan-European Transport Network (PETN) which is currently initiated by the European Union, such as to improve outdated infrastructure (railway, bridges, signal systems, etc.), to simplify and to standardize the process of custom clearance and internal tariffs, and ultimately to construct a uniform management system for the corridor linking the TKR to TSR.

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Optimum Bar-feeder Support Positions of a Miniature High Speed Spindle System by Genetic Algorithm (유전 알고리듬을 이용한 소형 고속스핀들 시스템의 바-피더 지지부의 위치 최적선정)

  • Lee, Jae-Hoon;Kim, Mu-Su;Park, Seong-Hun;Kang, Jae-Keun;Lee, Shi-Bok
    • Journal of the Korean Society for Precision Engineering
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    • 제26권11호
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    • pp.99-107
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    • 2009
  • Since a long work piece influences the natural frequency of the entire system with a miniature high speed spindle, a bar-feeder is used for a long work piece to improve the vibration characteristics of a spindle system. Therefore, it is very important to design optimally support positions between a bar-feeder and a long work piece for a miniature high speed spindle system. The goal of the current paper is to present an optimization method for the design of support positions between a bar-feeder and a long work piece. This optimization method is effectively composed of the method of design of experiment (DOE), the artificial neural network (ANN) and the genetic algorithm (GA). First, finite element models which include a high speed spindle, a long work piece and the support conditions of a bar-feeder were generated from the orthogonal array of the DOE method, and then the results of natural vibration analysis using FEM were provided for the learning inputs of the neural network. Finally, the design of bar-feeder support positions was optimized by the genetic algorithm method using the neural network approximations.

Implementation and Performance Evaluation of High-Performance Intrusion Detection and Response System (고성능 침입탐지 및 대응 시스템의 구현 및 성능 평가)

  • Kim, Hyeong-Ju;Park, Dae-Chul
    • The KIPS Transactions:PartC
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    • 제11C권2호
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    • pp.157-162
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    • 2004
  • Recently, the growth of information infrastructure is getting fatter and faster. At the same time, the security accidents are increasing together. We have problem that do not handle traffic because we have the Intrusion Detection Systems in low speed environment. In order to overcome this, we need effective security analysis techniques that ran Processed data of high-capacity because high speed network environment. In this paper we proposed the Gigabit Intrusion Detection System for coordinated security function such as intrusion detection, response on the high speed network. We suggested the detection mechanism in high speed network environment that have pattern matching function based packet header and based packet data that is proceeded in system kernel area, we are shown that this mechanism was excellent until maximum 20 times than existing system in traffic processing performance.

High Speed Linear Motor Feed System Control using Neural Network (신경망을 이용한 리니어모터 이송시스템 제어)

  • 유송민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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    • pp.413-417
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    • 2001
  • High speed linear motor feed system has been simulated using neural network technique. Due to the limited resources, control gain tuning has been the most troublesome part in controller design. Regardless of the system structure, conventional control gain could be adjusted minimizing the resulting error using the proposed method. Slight performance deterioration was observed at the small value of training epoch.

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U sing Artificial Intelligence in the Configuration Design of a High-Speed Train (인공신경망을 이용한 고속철도의 최고속도 예측과 구성설계)

  • 이장용;한순흥
    • Korean Journal of Computational Design and Engineering
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    • 제8권4호
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    • pp.222-230
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    • 2003
  • Artificial intelligence has been used in the configuration design stage of high-speed train. The traction system of a high-speed train is composed of transformers, motor blocks, and traction motors of which locations and number in the trainset should be determined in the early stage of the train conceptual design. Components of the traction system are heavy parts in the train, so it gives strong influence to the top speeds and overall train configuration of high-speed trains. Top speeds have been predicted using the neural network with the associated data of the traction system. The neural networks have been learned with data sets of many commercially operated high-speed trains, and the predicted results have been compared with the actual values. The configuration design of the train set of a high-speed train determines the basic specification of the train and layout of the traction system. The neural networks is a useful design tool when there is not sufficient data for the configuration design and we need to use the existing data of other train for the prediction of trainset in development.

A Study on the Improvement of Project Management System for International Competitive Power and Global Business Strategy of Rail Project (철도사업의 종합사업관리 국제경쟁력 강화방안에 대한 연구)

  • Lee Young-Joo;Jang Seong- Yong
    • Proceedings of the KSR Conference
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    • 한국철도학회 2004년도 추계학술대회 논문집
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    • pp.1595-1600
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    • 2004
  • High speed railroad project management has been almost completed by starting operation of Seoul-Busan high speed railroad with the exception of a few constructing blocks currently in April, 2004. After Korea Rail Network Authority was established in 2004, it needs to develop new project management system for both conventional railroad construction and high speed railroad construction for domestic railroad projects, while it plans to invest in overseas railroad project for logistics innovation and improvement in passenger transport services on a large scale. Therefore this paper provides the method that we can adapt the project management system for high speed railroad containing experiences and know-how from construction of high speed railroad for both conventional railroad construction and high speed railroad construction or improve project management system for high speed railroad to use it as project management system for overseas railroad projects.

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Modeling the Spread of Internet Worms on High-speed Networks (고성능 네트워크에서 인터넷 웜 확산 모델링)

  • Shin Weon
    • The KIPS Transactions:PartC
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    • 제12C권6호
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    • pp.839-846
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    • 2005
  • Recently broadband convergence network technology is emerging as an integrated network of telecommunication, broadcasting and Internet. But there are various threats as side effects against the growth of information technology, and malicious codes such af Internet worms may bring about confusions to upset a national backbone network. In this paper, we survey the traditional spreading models and propose a new worm spreading model on Internet environment. We also analyze the spreading effects due to tile spread period and the response period of Internet worms. The proposed model leads to a better prediction of the scale and speed of worm spreading. It can be applied to high-speed network such as broadband convergence network.