• 제목/요약/키워드: R&D networks

검색결과 318건 처리시간 0.036초

A Study on the IPv6 Multihoming Mechanism using Loadsharing Broker.

  • Kim, Dong-Kyun;Park, Hak-Soo;Kim, Seong-Hae;Whang, Il-Sun
    • 지식정보인프라
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    • 통권7호
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    • pp.141-148
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    • 2001
  • This paper describes a mechanisms for IPv6 multihomming with loadsharing broker, focusing on the interdomain scalability and load sharing with redundancy on IPv6 networks. Unlike currently-practiced IPv4 multihoming, this model does not impact the worldwide routing table size, also it provides inbound load sharing at site level based on router renumbering, and multiple-prefix assigning techniques of IPv6. The proposed model has four modules such as building interfaces MIB module, priority list maintaining module, load detection module, and RRP configuration module.

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국방 R&D프로젝트의 일정-비용분석모델의 연구 (A study on a schedule-cost analysis model for defense R&D project planning)

  • 황홍석;류정철;정덕길
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.213-216
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    • 1996
  • R'||'&'||'D project management is a process of decisions concerned with the achievement of goals of objectives. Especially, defense R'||'&'||'D project planning is the key in the successfull management of defense development. The defense project managers are constantly having to perform "what if\ulcorner" exercise, such as what if the project is extended out for an additional cost\ulcorner In this reserch, we developed a schedule-cost analysis model based upon Critical Path Method(CPM) and Venture Evaluation and Review Technique(VERT) for schedule-cost trade off analysis defense R'||'&'||'D projects. In the first step, a deterministic model is developed as a heuristic which deterministic model is developed as a heuristic which determines the schedule extension and reduction cost as a function desired schedule. In the second step, a stochastic network simulation model is developed to analyse the project risk (sucess and failure). The expected time and cost can be determined for desired schedule under the assumptions of stochastic arc data (time and cost) with a various precedence relationships. This model provides the defense R'||'&'||'D managers with an estimated and expected cost for curtailing or extending a project a given amount of time. The effectiveness and efficiency of the proposed methods, a heuristic and stochastic networks simulations, have been demonstrated through examples.

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신경회로망을 이용한 학습퍼지논리제어기 (A Learning Fuzzy Logic Controller Using Neural Networks)

  • 김병섭;류근배;민성식;이규찬;김창업;조규복
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 A
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    • pp.225-230
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    • 1992
  • In this paper, a new learning fuzzy logic controller(LFLC) is presented. The proposed controller is composed of the main control part and the learning part. The main control part is a fuzzy logic controller(FLC) based on linguistic rules and fuzzy inference. For the learning part, artificial neural network(ANN) is added to FLC so that the controller may adapt to unknown plant and environment. According to the output values of the ANN part, which is learned using error back-propagation algorithm, scale factors of the FLC part are determined. These scale factors transfer the range of values of input variables into corresponding universe of discourse in the FLC part in order to achieve good performance. The effectiveness of the proposed control strategy has been demonstrated through simulations involving the control of an unknown robot manipulator with load disturbance.

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휴대인터넷 분산 네트워크 환경 기반의 Cross-Layer 구조 설계 (A Cross-Layer Design for WiBro Distributed Network)

  • 노재훈;류규태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.283-284
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    • 2008
  • A cross-layer optimization is becoming a popular design methodology for the IP based next generation wireless network. We begin by investigating a cross-layer optimization scheme to enhance the system performance in wireless networks. By applying cross-layer optimization methodology to WiBro distributed network, the WiBro systems are expected to gain significant performance improvement and resource utilization enhanced. For further study we highlight some open challenges and new opportunities for cross-layer design.

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IMS 망에서의 컨버전스 서비스 진화방향 (A Convergence Service Evolution in IMS networks)

  • 황진호;박상훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.175-176
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    • 2006
  • 본 논문은 IMS 개발-에 있어서 컨버전스 서비스를 지향하는 망 진화 방향을 제안한다. 4 세대 라고 언급하고 있는 4G 네트워크의 핵심인 IMS 는 3GPP 에서 표준화를 진행하며, ITU-T, MSF, TISPAN 과 같은 표준화 단체에서도 유사한 망구조로 제안하고 있다. 그러나 IMS망을 통하여 생성되는 컨버전스 서비스로의 발전에는 고려해야 할 사항들이 많이 있다. 본 논문에서는 망구조를 통하여 단말의 입장과 서비스의 진화방향을 제안한다.

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전술망의 서비스 품질 보장을 위한 다계층 네트워크 가상화 기법 (Multi-layer Network Virtualization for QoS Provisioning in Tactical Networks)

  • 김요한;안남원;박주만;박찬이;임혁
    • 한국군사과학기술학회지
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    • 제21권4호
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    • pp.497-507
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    • 2018
  • Tactical networks are evolving into an All-IP based network for network centric warfare(NCW). Owing to the flexibility of IP based network, various military data applications including real-time and multi-media services are being integrated in tactical networks. Because each application has diverse Quality-of-service(QoS) requirements, it is crucial to develop a QoS provisioning method for guaranteeing QoS requirements efficiently. Conventionally, differentiated services(DiffServ) have been used to provide a different level of QoS for traffic flows. However, DiffServ is not designed to guarantee a specific requirement of QoS such as delay, loss, and bandwidth. Therefore, it is not suitable for military applications with a tight bound of QoS requirements. In this paper, we propose a multi-layer network virtualization scheme that allocates traffic flows having different QoS requirements to multiple virtual networks, which are constructed to support different QoS policies such as virtual network functions(VNFs), routing, queueing/active queue management(AQM), and physical layer policy. The experiment results indicate that the proposed scheme achieves lower delays and losses through multiple virtual networks having differentiated QoS policies in comparison with conventional networks.

시스템의 정밀 모델링을 위한 자율분산 신경망 (Self-organized Distributed Networks for Precise Modelling of a System)

  • 김형석;최종수;김성중
    • 전자공학회논문지B
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    • 제31B권11호
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    • pp.151-162
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    • 1994
  • 다차원 시스템(multidimensional system)에 대한 정확한 모델링을 위해 “자율 분산 신경망(Self-organized Distirbuted Networks, SODN)”을 제안하였다. 제안한 신경망은 자율 신경망(Self-organized Networks)과 다수의 소규모 다층 신경망(Multilayer Neural Networks)이 조합되어 지역적 병렬 학습을 수행하는 부분 학습망으로서 학습 속도가 빠르고 학습의 정밀도를 높일 수 있으며 타 부분망 학습에서 문제가 되는 과다한 학습 메모리 소요와 학습되니 않은 영역에 대한 낮은 일반화능력 등의 문제가 보완된 새로운 신경망이다. 학습 실험 결과, 제안한 신경망은 기존의 다층 신경망과 RBF(Radial Basis Function) 신경망에 비해서 우수한 성능을 보였다.

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부분 중계노드 선택 기반의 협력 네트워크에서 증폭 후 전송 방식에 대한 성능분석 (Performance Analysis of Amplify-and-Forward Relaying in Cooperative Networks with Partial Relay Selection)

  • 황호선;안경승
    • 한국통신학회논문지
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    • 제40권12호
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    • pp.2317-2323
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    • 2015
  • 본 논문에서는, 증폭 후 재전송하는 부분 릴레이 선택 방식의 듀얼홉 릴레이 시스템에 대한 성능을 분석한다. 증폭 후 재전송하는 릴레이 이득은 채널과 잡음을 동시에 고려한 이득이다. 수신 SNR 모델을 이용하여 닫힌형태의 end-to-end SNR 확률밀도함수와 누적분포함수를 유도한다. 또한, 부분 릴레이 선택 방식을 갖는 듀얼홉 릴레이 시스템의 정확한 닫힌 형태의 채널 용량을 분석한다. 마지막으로 본 논문의 이론적인 분석은 Monte-Carlo 시험을 통하여 검증한다.

Secondary System Initialization Protocol Using FFT-based Correlation Matching for Cognitive Radio Ad-hoc Networks

  • Yoo, Sang-Jo;Jang, Ju-Tae;Seo, Myunghwan;Cho, Hyung-Weon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권1호
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    • pp.123-145
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    • 2017
  • Due to the increasing demand for spectrum resources, cognitive radio networks and dynamic spectrum access draw a lot of research into efficiently utilizing limited spectrum resources. To set up cluster-based CR ad-hoc common channels, conventional methods require a relatively long time to successfully exchange the initialization messages. In this paper, we propose a fast and reliable common channel initialization protocol for CR ad-hoc networks. In the proposed method, the cluster head sequentially broadcasts a system activation signal through its available channels with a predetermined correlation pattern. To detect the cluster head's broadcasting channels and to join the cluster, each member node implements fast Fourier transform (FFT) and computes autocorrelation of an FFT bin sequence for each available channel of the member node. This is compared to the predetermined reference pattern. The join request and channel decision procedures are also presented in this paper. In a simulation study, the performance of the proposed method is evaluated.