• Title/Summary/Keyword: R&D Networks

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A Study on the IPv6 Multihoming Mechanism using Loadsharing Broker.

  • Kim, Dong-Kyun;Park, Hak-Soo;Kim, Seong-Hae;Whang, Il-Sun
    • Journal of Scientific & Technological Knowledge Infrastructure
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    • s.7
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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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A study on a schedule-cost analysis model for defense R&D project planning (국방 R&D프로젝트의 일정-비용분석모델의 연구)

  • 황홍석;류정철;정덕길
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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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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A Learning Fuzzy Logic Controller Using Neural Networks (신경회로망을 이용한 학습퍼지논리제어기)

  • Kim, B.S.;Ryu, K.B.;Min, S.S.;Lee, K.C.;Kim, C.E.;Cho, K.B.
    • Proceedings of the KIEE Conference
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    • 1992.07a
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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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A Cross-Layer Design for WiBro Distributed Network (휴대인터넷 분산 네트워크 환경 기반의 Cross-Layer 구조 설계)

  • Roh, Jae-Hoon;Ryoo, Kyoo-Tae
    • Proceedings of the IEEK Conference
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    • 2008.06a
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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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A Convergence Service Evolution in IMS networks (IMS 망에서의 컨버전스 서비스 진화방향)

  • Hwang, Jin-Ho;Park, Sang-Hoon
    • Proceedings of the IEEK Conference
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    • 2006.06a
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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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Multi-layer Network Virtualization for QoS Provisioning in Tactical Networks (전술망의 서비스 품질 보장을 위한 다계층 네트워크 가상화 기법)

  • Kim, Yohan;An, Namwon;Park, Juman;Park, Chan Yi;Lim, Hyuk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.4
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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.

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

  • Kim, Hyong-Suk;Choi, Jong-Soo;Kim, Sung-Joong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.11
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    • pp.151-162
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    • 1994
  • A new neural network structure called Self-organized Distributed Networks (SODN) is proposed for developing the neural network-based multidimensional system models. The learning with the proposed networks is fast and precise. Such properties are caused from the local learning mechanism. The structure of the networks is combination of dual networks such as self-organized networks and multilayered local networks. Each local networks learns only data in a sub-region. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the proposed networks. The simulation results of the proposed networks show better performance than the standard multilayer neural networks and the Radial Basis function(RBF) networks.

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

  • Hwang, Ho-seon;Ahn, Kyung-seung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2317-2323
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    • 2015
  • In this paper, we analyze the performance of dual-hop amplify-and-forward (AF) relaying in cooperative networks with partial relay selection. An AF relay gain considered in this paper includes channel-noise-assisted relay gain. Leveraging a received signal-to-noise ratio (SNR) model, we derive exact closed-form expressions for the probability density function (pdf) and cumulative distribution function (cdf) of the end-to-end SNR. Moreover, an exact closed-form expression of the ergodic capacity for dual-hop AF relaying with channel-noise-assisted relay gain and partial relay selection is investigated. The analytical results shown in this paper are confirmed by Monte-Carlo simulations.

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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    • v.11 no.1
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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.