• 대한전기학회논문지:전력기술부문A
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• 제52권9호
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• pp.506-512
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• 2003

In this paper, a communication module between Relay agents in a multi-agent system based power distribution network protection system is realized using DNP3.0(Distributed Network Protocol), which is the standard communication protocol of distribution automation system in KEPCO. The key words for agent communication in the multi-agent based protection system are defined and represented by use of DNP application function code. The communication module developed based on the proposed communication scheme is tested by use of the Communication Test Harness, a test tool for DNP protocol, then used to the multi-agent system based power distribution net work protection system.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.694-697
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• 2003

In this paper, we propose modular network to solve difficult and complex problems that are seldom solved with Multi-Layer Neural Network(MLNN). The structure of Modular Neural Network(MNN) in researched by Jacobs and jordan is selected in this paper. Modular network consists of several Expert Networks(EN) and a Gating Network(CN) which is composed of single-layer neural network(SLNN) or multi-layer neural network. We propose modular network structure using Recurrent Neural Network(RNN), since the state of the whole network at a particular time depends on aggregate of previous states as well as on the current input. Finally, we show excellence of the proposed network compared with modular network.

• 대한전자공학회논문지SD
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• 제42권2호
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• pp.65-72
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• 2005

공정기술과 EDA 툴의 발전에 따라서 하나의 실리콘 다이(Die)에 많은 IP가 집적되고 멀티프로세서가 포함되는 SoC 구조가 가능해지고 있다 그러나 대부분의 기존 SoC 버스는 공유버스 구조라는 문제점으로 인해 통신의 병목현상이 발생하고 이는 전체 시스템 성능을 저하시키는 요인이 된다. 많은 경우에 멀티프로세서 시스템의 성능은 CPU 자체의 속도보다는 효율적인 통신과 균형있는 연산의 분배가 좌우하게 된다 따라서 충분한 SoC 버스 대역폭(Bandwidth)을 확보하기 위한 하나의 해결책으로 크로스바 라우터(Crossbar Router)를 이용하여 효율적인 온 칩 버스구조인 SoC Network Architecture(SNA)를 제안한다. 제안된 SNA구조는 다중 마스터(multi-master)에 대해 다중 채널(multi-channel)을 제공하여 통신의 병목현상을 크게 줄일 수 있으며 뛰어난 확장성을 지원한다. 제안된 구조에 따라 모델 시스템을 설계하고 시뮬레이션을 진행한 결과 AMBA AHB 버스에 비해 평균 $40\%$ 이상 효율이 증가했다.

• 대한전자공학회논문지TC
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• 제41권6호
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• pp.69-78
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• 2004

최근 WDM 기술을 적용한 광네트워크에서 중계 노드로 광크로스커넥터를 적용함으로써, 중계 노드에서 트래픽 병목 현상에 의해 지연이 발생하고 있다. 본 논문에서는 이러한 문제점을 해결하기 위한 방안으로 EN(Edge Node)간 단일 홉을 갖는 다중링 유형의 다파장 레이블 기반의 광패킷 네트워크 구조를 제안하였다. 제안한 방식에서 이용되는 광패킷 구성 방법과 다파장 레이블을 이용하여 다중링 기반의 광네트워크를 구성 할 경우, 단일 Optical 대역과 다중 Optical 대역을 이용하여 구성 가능함을 제시하고, 두 방식의 특성을 비교 분석하였다. 이때, EN의 출력에서 광패킷 충돌이 발생하여 광패킷 손실이 발생하는데 이 문제를 해결하기 위해 광패킷을 정적 및 동적으로 타임 슬롯에 할당하는 방안을 제시함으로써 패킷 충돌 회피가 가능함을 분명히 하였다. 그리고 제안한 방식에서 지연은 EN에서만 발생하므로 CN(Core Node)에 의한 지연은 발생하지 않는다. 따라서 본 방식에서 제안한 광네트워크에 대해 EN의 패킷 손실 특성과 호손율, 지연 특성을 분석하고, 본 방식의 우수성과 실현 가능성을 나타냈다.

• Journal of Information Processing Systems
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• 제8권3호
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• pp.471-482
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• 2012

For disaster exploration and surveillance application, this paper aims to present a novel application of a multi-robot agent based on WSN and to evaluate a multi-hop communication caused by the robotics correspondingly, which are used in the uncertain and unknown subterranean tunnel. A Primary-Scout Multi-Robot System (PS-MRS) was proposed. A chain topology in a subterranean environment was implemented using a trimmed ZigBee2006 protocol stack to build the multi-hop communication network. The ZigBee IC-CC2530 modular circuit was adapted by mounting it on the PS-MRS. A physical experiment based on the strategy of PS-MRS was used in this paper to evaluate the efficiency of multi-hop communication and to realize the delivery of data packets in an unknown and uncertain underground laboratory environment.

• Journal of the Korean Statistical Society
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• 제36권2호
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• pp.209-228
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• 2007

Given scattered surface air temperatures observed by a network of weather stations, it is an important problem to estimate the entire temperature field for every location on the globe. Recently, a multi-scale spherical basis function (SBF) representation was proposed by Li (1999) for representing scattered data on the sphere. However, for a successful application of Li (1999)'s method, some practical issues such as network design, bandwidth selection of SBFs and initial coefficients are to be resolved. This paper proposes automatic procedures to design network and to select bandwidths. This paper also considers a preprocessing problem to obtain a stable initial coefficients from scattered data. Experiments with real temperature data demonstrate the promising empirical properties of the proposed approaches.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2007년도 학술대회
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• pp.279-282
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• 2007

Typically a wireless sensor network consists of a number of nodes that sense surrounding environment and collaboratively work to process and route the sensing data to a sink or gateway node. We propose an architecture with support of multiple routers in IPv6-based Low-power Wireless Personal Area Network (6LoWPAN). Our architecture provides traffic load balancing and increases network lifetime as well as self-healing mechanism so that in case of a router failure the network still can remain operational. Each router sends its own Router Advertisement message to nodes and all the nodes receiving the messages can select which router is the best router with the minimum hop-count and link information. We have implemented the architecture and assert our architecture helps in traffic load balancing and reducing data transmission delay for 6LoWPAN.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.925-930
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• 2005

In this paper, evolutionary multi-objective selection method of RBF networks structure is considered. The candidates of RBF network structure are encoded into the chromosomes in GAs. Then, they evolve toward Pareto-optimal front defined by several objective functions concerning with model accuracy and model complexity. An ensemble network constructed by such Pareto-optimal models is also considered in this paper. Some numerical simulation results indicate that the ensemble network is much robust for the case of existence of outliers or lack of data, than one selected in the sense of information criteria.

• 동력기계공학회지
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• 제5권2호
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• pp.93-99
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• 2001

This paper presents the automatic recognition system for car number plate. In our country, two types of number plate pattern is used. The one is old type of number plate, the other is new type of number plate. To recognize both new and old type number plates, the system must have flexibility. Therefore, in this paper, automatic recognition system is developed by use of the neural network for good adaptation, good generalization, and modulation. And because the number plate is made of three codes, the multi neural network consists of three networks. Neural network is teamed by GDR(Generalized Delta learning Rule) and it is verified the effectiveness of the method through experimental results.

• 대한산업공학회지
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• 제37권4호
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• pp.279-288
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• 2011

The past researches focused on the supply chain network that consists of factories, distribution centers and retailers for single product type. This research is required because the factory for single product type is advanced to reconfigurable type in order to produce various products, according to customers' various purchase forms and time. This research is also required because in the past researches, the material flows from factories to distribution centers and from distribution centers to retailers, but recently, there are material flows between distribution centers. The supply chain network in this research consists of reconfigurable manufacturing system, multi-layered distribution centers, and retailers. A simulator is developed to analyze the material flow on the supply chain network. The developed simulator is web-based designed by using Java Server Page and MS-SQL, so as to maximize the convenience for users.