• 제목/요약/키워드: Mixed Network

검색결과 532건 처리시간 0.038초

음성/비음성트래픽을 위한 최적 대역폭 설계에 관한 연구 (The optimal bandwidth allocation in multiplexing Voice/nonvoice traffic)

  • 김재열;이관하
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.514-518
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    • 1988
  • The switching system and transport will be developed and serve as hybrid switching system and link respectively according to the needs of mixed voice and data service in ISDN era. This paper describes a theory of optimal band width allocation in multiplexing voice and nonvoice traffic, and analyzes traffic performances on a model network.

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A Novel Optimization-Based Approach for Minimum Power Multicast in Wireless Networks

  • Yen, Hong-Hsu;Lee, Steven S.W.;Yap, Florence G.H.
    • Journal of Communications and Networks
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    • 제13권1호
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    • pp.26-31
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    • 2011
  • In this paper, we formulate the minimum power multicast problem in wireless networks as a mixed integer linear programming problem and then propose a Lagrangean relaxation based algorithm to solve this problem. By leveraging on the information from the Lagrangean multiplier, we could construct more power efficient routing paths. Numerical results demonstrate that the proposed approach outperforms the existing approaches for broadcast, multicast, and unicast communications.

A Public-Transportation Guidance System using the GIS and the GA

  • Jun, Chul-Min
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.21-23
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    • 2003
  • Developing a public transportation guidance system requires the following aspects: (i) people may change transportation means not only within the same type but also among different modes such as between buses and subways, and (ii) the system should take into account the time taken in transfer from one mode to the other. This study suggest the framework for developing a public transportation guidance system that generates optimized paths in the transportation network of mixed means including buses, subways and other modes. For this study, the Genetic Algorithms are used to find the best routes that take into account transfer time and other servicetime constraints.

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STEPANOV ALMOST PERIODIC SOLUTIONS OF CLIFFORD-VALUED NEURAL NETWORKS

  • Lee, Hyun Mork
    • 충청수학회지
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    • 제35권1호
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    • pp.39-52
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    • 2022
  • We introduce Clifford-valued neural networks with leakage delays. Furthermore, we study the uniqueness and existence of Clifford-valued Hopfield artificial neural networks having the Stepanov weighted pseudo almost periodic forcing terms on leakage delay terms. However the noncommutativity of the Clifford numbers' multiplication made our investigation diffcult, so our results are obtained by decomposing Clifford-valued neural networks into real-valued neural networks. Our analysis is based on the differential inequality techniques and the Banach contraction mapping principle.

신경망 모델의 편향성을 줄이기 위한 데이터 증강 연구 (A Study of Mixed Augmentation for Reducing Model Bias)

  • 손재범
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 춘계학술발표대회
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    • pp.455-457
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    • 2020
  • Recent studies demonstrate that deep learning model is easily biased by trained with unbalanced datasets. For example, the deep network can be trained to make a prediction by background feature instead the real target's feature. For those problem, a measurement called leakage was introduced to digitize this tendency. In this paper, we propose augmentation strategy which are used generally in computer vision problem to remedy this bias problem and we showed a simple augmentation methods have a effect to this task with experiments.

FNPPI 제어기를 이용한 유도전동기 드라이브의 고성능 제어 (High Performance Control of Induction Motor Drive using FNPPI Controller)

  • 이진국;고재섭;강성준;장미금;김순영;문주희;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.1097-1098
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    • 2011
  • This paper proposes high performance control of induction motor drive using fuzzy neural network precompensation PI(FNPPI) controller. To apply industrial processes, control methods is requested technique that can be demonstrate high performance and robust about load disturbance, parameter variation and uncertainty of model, etc. The PI controller dose not show satisfactory performance due to fixed gain. Therefore, this paper proposes FNPPI which is adjusted input values of PI controller according to operating conditions of motor by FNN controller mixed neural network and fuzzy. And this paper proves validity of proposed control algorithm through result analysis.

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BcN 서비스 가입자 망 설계를 위한 타부서치 휴리스틱 알고리즘 개발 (Tabu Search Heuristic Algorithm for Designing Broadband Convergence Networks)

  • 이영호;윤현정;이순석;박노익
    • 대한산업공학회지
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    • 제34권2호
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    • pp.205-215
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    • 2008
  • convergence networks (BcN). The problem seeks to minimize the total cost of switch and cable while satisfying the requirement of demand and quality of service (QoS). We develop mixed integer programming models to obtain the optimal switch location of the access network. We develop a Tabu Search (TS) heuristic algorithm for finding a good feasible solution within a reasonable time limit. We propose real networks with up to 25 nodes and 180 demands. In order to demonstrate the effectiveness of the proposed algorithm, we generate lower bounds from nonlinear QoS relaxation problem. Computational results show that the proposed heuristic algorithm provides upper bounds within 5% optimality gap in 10 seconds.

시맨틱 베이지안 네트워크를 이용한 적응형 사이버 에이전트의 복합인지처리 (Complex Cognitive Information Processing for Adaptive Cyber Agents using Semantic Bayesian Network)

  • 김경민;홍진혁;조성배
    • 한국인지과학회:학술대회논문집
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    • 한국인지과학회 2005년도 춘계학술대회
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    • pp.145-150
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    • 2005
  • 최근 전자상거래에 대한 관심과 투자가 집중되면서 효과적인 사용자 인터페이스인 대화형 에이전트에 대한 연구가 활발히 진행되고 있다. 기존의 대화형 에이전트는 사용자의 질의에 미리 준비된 답변을 제공하기 때문에 복잡한 대화 상황을 처리하지 못한다. 이런 한계를 극복하기 위해 베이지안 네트워크 등의 기법을 이용한 사용자 의도 추론 기술이 연구되고 있다. 본 논문에서는 기존의 정보검색을 위한 대화형 에이전트에서 사용자 의도 추론의 성능을 높이기 위해 노드간의 의미 관계를 표현하는 정보를 결합한 시맨틱 베이지안 네트워크(Semantic Bayesian Network; SeBN) 모델을 제안한다. 단발적인 질의 분석이 아닌 점증적 질의 분석 방법을 바탕으로 불충분한 정보로 적절한 답변을 추론하지 못할 경우에MII(mixed-initiative interaction)를 수행하여 주어진 문제를 해결한다. 실제 모바일 검색 사이트에 제안하는 방법을 적용하여 유용성을 확인하였다.

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IPv6 순수망과 IPv4/IPv6 혼재망의 보안 취약점 (A Security Vulnerability in IPv6 Native Network and Mixed IPv4/IPv6 Network)

  • 이영수;박남열;김용민;노봉남
    • 한국정보보호학회:학술대회논문집
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    • 한국정보보호학회 2006년도 하계학술대회
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    • pp.340-343
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    • 2006
  • IPv6는 차세대 네트워크를 구축하기 위한 가장 핵심적인 기술로써, 풍부한 주소공간과 이동성 지원, 보안기능 강화 등 IPv4에 비해 많은 이점을 지니고 있다. 또한 IPv4의 주소 고갈 문제를 해결하기 위해 IPv6로의 전환이 당연시 되고 있으나 IPv4/IPv6 혼재망이 과도기적인 입장에서 대안이 될 수 있다. 그러나 IPv4/IPv6 혼재망과 IPv6망은 IPv4에서와 마찬가지로 프로토콜 기능상의 많은 문제점을 안고 있다. 본 논문에서는 IPv6망 및 IPv4/IPv6 혼재 네트워크상에서의 보안 취약점과 실험 결과를 기술하였다.

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TCP/IP 성능개선을 위한 ABR 서비스 제어 알고리즘: 시뮬레이션 평가 (ABR Service Control Algorithms For Improving Performance of TCP/IP: Simulation Evaluation)

  • 박희대;박승섭
    • 한국정보처리학회논문지
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    • 제6권11S호
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    • pp.3390-3398
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    • 1999
  • To achieve high-speed communication and to improve QoS characteristics, ATM is now being used as underlying transfer mechanism of Internet protocols, or TCP/IP. When TCP uses the ABR service in ATM networks, the ABR service control is important to improve the performance of TCP/IP traffic as long as there is no interaction between ABR rate control and TCP flow control. In such environment, the interoperability of EFCI and ER switches becomes unavoidable in order to more effectively control ABR traffic in ATM network. In this paper, we use the model of mixed EFCI-ER environment and discuss the performance issues, e.g., the fairness of bandwidth allocation, drop rate, throughput by using various ER switch algorithms. Among various ERSwitch algorithms, we present one algorithm that have a less network topology and allocate the fair share of VC bandwidth by simulation results.

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