• 제목/요약/키워드: Adaptive network management

검색결과 198건 처리시간 0.023초

무인탐사차량의 위치제어를 위한 복합제어 시스템의 제어기 전이관리 (Controller Transition Management of Hybrid Position Control System for Unmanned Expedition Vehicles)

  • 양철관;심덕선
    • 제어로봇시스템학회논문지
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    • 제14권10호
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    • pp.969-976
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    • 2008
  • A position control problem is studied for UEV(Unmanned Expedition Vehicles), which is to follow pre-determined paths via fixed way-points. Hybrid control systems are used for position control of UEV depending on the operating condition. Speed control consists of three controllers: PID control, adaptive PI control, and neural network. Heading control consists of two controllers, PID and adaptive PID control. The controllers are selected based on the changes of road conditions. We suggest an adaptive PI control algorithm for speed control and an transition management algorithm among the controllers. The algorithm adapts the road conditions and variation of vehicle dynamical characteristics and selects a suitable controller.

KORNET- THE LATEST PUBLIC PACKET-SWITCHED NETWORK

  • C.K.Un;Cho, D.H.
    • 한국통신학회:학술대회논문집
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    • 한국통신학회 1986년도 춘계학술발표회 논문집
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    • pp.119-124
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    • 1986
  • This paper describes the development of the KORNET that may be regarded as the latest public packet-swiched computer communication network. The KORNET project included the development of the network management center (NMC), a network concentrator. For the KORNET we use the virtual circuit(VC) method, a distributed adaptive routing algorithm, and a dynamic buffer management algorithm. The NMC acts as a nerve center of the network, performing such function as network monitoring, subscriber and network management and routing management, etc. As for the NNP and NC hardware, we have implemented them with the 16-bit multitask/multiprocessor technology using MC68000 microprocessors. Softwares have been developed using C language is required for real time processing. All the network protocols we have developed comply completely with the latest CCITT recommendations including X.25, X,3 , X.28 and X.29.

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Issues in Next Generation Streaming Server Design

  • Won, Youjip
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2001년도 디지털 방송기술 워크샵
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    • pp.335-354
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    • 2001
  • .Next Generation Multimedia Streaming Technology Massive Scale Support $\rightarrow$ Clustered Solution Adaptive to Heterogeneous Network daptive to Heterogeneous Terminal Capability Presentation Technique .SMART Server Architecture .HERMES File System .Clustered Solution . High Speed Storage Interconnect .' Content Partitioning . Load Management . Support for Heterogeniety . Adaptive End to End Streaming Transport: Unicast vs. Multicast '. Scalable Encoding

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이동 통신망에서 적응형 구조의 호 저하 시간 비율 추정 (Estimation of Degradation Period Ratio for Adaptive Framework in Mobile Cellular Networks)

  • 정성환;이세진;홍정완;이창문
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.441-447
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    • 2003
  • Recently there is a growing Interest In mobile cellula r network providing multimedia service. However, the link bandwidth of mobile cellular network is not sufficient enough to provide satisfactory services to use rs. To overcome this problem, an adaptive framework has been proposed in this study, we propose a new method of estimating DPR(degradation period ratio) in an adaptive multimedia network where the bandwidth of ongoing call can be dynamically adjusted during its lifetime. DPR is a QoS(quality of service) parameter which represents the ratio of allocated bandwidth below a pre-defined target to the whole service time of a call. We improve estimation method of DPR using DTMC(discrete time Markov chain) model. We also calculate mean degradation period and degradation probability more precisely than in existing studies. Under Threshold CAC(call admission control) algorithm, we present analytically how to guarantee QoS to users and illustrate the method by numerical examples. The proposed method is expected to be used as one of CAC schemes in guaranteeing predefined QoS level of DPR

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Multivariate adaptive regression spline applied to friction capacity of driven piles in clay

  • Samui, Pijush
    • Geomechanics and Engineering
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    • 제3권4호
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    • pp.285-290
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    • 2011
  • This article employs Multivariate Adaptive Regression Spline (MARS) for determination of friction capacity of driven piles in clay. MARS is non-parametric adaptive regression procedure. Pile length, pile diameter, effective vertical stress, and undrained shear strength are considered as input of MARS and the output of MARS is friction capacity. The developed MARS gives an equation for determination of $f_s$ of driven piles in clay. The results of the developed MARS have been compared with the Artificial Neural Network. This study shows that the developed MARS is a robust model for prediction of $f_s$ of driven piles in clay.

An Improved Adaptive Scheduling Strategy Utilizing Simulated Annealing Genetic Algorithm for Data Center Networks

  • Wang, Wentao;Wang, Lingxia;Zheng, Fang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권11호
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    • pp.5243-5263
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    • 2017
  • Data center networks provide critical bandwidth for the continuous growth of cloud computing, multimedia storage, data analysis and other businesses. The problem of low link bandwidth utilization in data center network is gradually addressed in more hot fields. However, the current scheduling strategies applied in data center network do not adapt to the real-time dynamic change of the traffic in the network. Thus, they fail to distribute resources due to the lack of intelligent management. In this paper, we present an improved adaptive traffic scheduling strategy utilizing the simulated annealing genetic algorithm (SAGA). Inspired by the idea of software defined network, when a flow arrives, our strategy changes the bandwidth demand dynamically to filter out the flow. Then, SAGA distributes the path for the flow by considering the scheduling of the different pods as well as the same pod. It is implemented through software defined network technology. Simulation results show that the bisection bandwidth of our strategy is higher than state-of-the-art mechanisms.

ANFIS 기반 분류모형의 설계 및 성능평가 (Design and Evaluation of ANFIS-based Classification Model)

  • 송희석;김재경
    • 지능정보연구
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    • 제15권3호
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    • pp.151-165
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    • 2009
  • 퍼지신경망 모형은 인공신경망의 네트워크 구조 표현방법 및 학습알고리듬과 퍼지시스템의 추론방법을 통합한 모형으로 제어 및 예측분야에 성공적으로 적용되고 있다. 본 연구에서는 퍼지신경망 모형 중 우수한 예측정확도로 인해 최근 각광받고 있는ANFIS (Adaptive Network-based Fuzzy Inference System)모형을 기반으로 하는 분류모형을 설계하고 기존의 분류기법(C5.0 의사결정나무)과 비교하여 분류 정확성 관점에서 평가한다. ANFIS 추론의 경우, 최종 결과값이 계급값이 아닌 연속형 변수값을 취하게 되므로 산출된 결과값을 이용하여 적절한 계급값을 할당하는 과정이 필요하다. 본 연구에서는 의사결정나무기법을 이용하여 계급값을 할당하는 방식과 군집분석을 이용하여 계급값을 할당하는 두 가지 방식을 제안하고 두 가지 데이터 세트에 적용하여 ANFIS를 기반으로 한 분류모형의 정확도를 평가하였다.

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홈 네트워크에서의 적응적 통합 보안 정책 및 관리 기술 (Adaptive Convergence Security Policy and Management Technology of Home Network)

  • 이상준;김이강;류승완;박유진;조충호
    • 산업경영시스템학회지
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    • 제34권4호
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    • pp.72-81
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    • 2011
  • In this paper, we propose adaptive convergence security policies and management technologies to improve security assurance in the home networking environment. Many security issues may arise in the home networking environment. Examples of such security issues include the user privacy, the service security, the integrated networking security, the middleware security and the device failure. All these security issues, however, should be fulfilled in phase due to many difficulties including deployment cost and technical complexity. For instance, fundamental security requirements such as authentication, access control and prevention of crime and disaster should be addressed first. Then, supplementary security policies and diverse security management technologies should be fulfilled. In this paper, we classify these requirements into three categories, a service authentication, a user authentication and a device authentication, and propose security policies and management technologies for each requirement. Since the home gateway is responsible for interconnection of many home devices and external network access, a variety of context information could be collected from such devices.

홈 네트워크에서 적응적 차등화 서비스를 위한 동적 우선순위 조절 기법 (A Dynamic Priority Control Method to Support an Adaptive Differentiated Service in Home Networks)

  • 정광모;임승옥;민상원
    • 한국통신학회논문지
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    • 제29권7B호
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    • pp.641-649
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    • 2004
  • 홈 네트워크에서 다양한 응용(application) 트래픽(traffic) 간의 차등화 된 서비스를 제공하기 위해서 트래픽 변화에 따라 적응적으로 우선순위(priority)를 재할당하는 알고리즘을 제안하고, FPGA를 이용하여 구현하였다. 제안된 구조는 QoS를 위한 부가적인 시그널링 프로토콜이 없이도 네트워크 트래픽 조절이 가능하도록 설계되었고, 또한 홈 네트워크 트래픽을 그 특징에 따라 제어 데이터 트래픽, 일반 인터넷이나 데이터 트래픽, 그리고 멀티미디어 데이터 트래픽으로 분류하고 이를 네트워크 트래픽 상황에 적응적으로 차등화 서비스를 제공할 수 있도록 설계되었다. 시뮬레이션을 통하여 제시한 알고리즘의 성능을 검증하고 FPGA구현을 통하여 실현가능성을 제시하였다.

Packet Switching에 의한 공중 Computer 통신망 개발 연구 -제2부: KORNET의 설계 및 Network Node Processor(NNP)의 개발 (Development of a Packet-Switched Public computer Communication Network -PART 2: KORNET Design and Development of Network Node Processor(NNP))

  • 조유제;김희동
    • 대한전자공학회논문지
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    • 제22권6호
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    • pp.114-123
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    • 1985
  • 이 논문은 packet switching 방식에 의한 공중 computer 통신망 개발에 관한 4편의 논문중 제 2부의 논문으로 제 1부의 KORNET의 개요 및 netwo.k managementcenter (NMC)개발에관한 논문에 이어 KO-RNET의 설계와 networhnode Processor(NNP)의 개발에 대해 기술한다. KORNET은 3개의 NNP와 하나의 NMC 로 일차 구성하였는데, NNP는 MC68000 microprocessor를 이용한 multiprocessor system으로 구현되었고, HMC는 중형 computer인 Mv/8000 system을 사용하여 개발하였다. KORNET에서의 packet service 방식은 virtual circuit(VC) 방식으로 하고 routing은 node나 선로의 상태변화에 쉽게 대처할 수 있는 분산적응방식(distributed adaptive routinB)을 사용하였다. 또한, buffo. management는 dy-namic sharing 방식을 채택하여 storage의 사용에 대한 효율성을 높였다. NNP system의 hardware는 modularity를 고려하여 확장이 용이하게 하였으며, software는 CCITT 권고사항 X.25, X.3, X.28, X.29등을 따라 구현하였다.

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