• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1948-1953
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• 2007

Intelligent agent is to decide what customers need on the internet and offer them accurate information. In this paper, the system which can recommend the tourism items in terms of customer's needs is proposed by appling the intelligent agent to railway tourism system. Most of previous agents are focused on price. But, this study proposes the Railway tourism system which offers each customer the best suitable information based on quality of information and reputation. The customer's needs are analyzed through intelligent agent and the information which is suitable for customer's needs is obtained the Artificial Neural Network Model.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1511-1519
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• 2000

본 논문에서는 데이터 마이닝 (data mining)을 위한 이동 에이전트의 효율적인 이주 전략 알고리즘을 제시한다. 제시한 알고리즘의 목적은 최소의 네트워크 소요시간을 갖도록 이동 에이전트의 이주 계획을 세우는 것이다. 본 논문의 이주 간략 일고리즘을 검증하고 평가하기 우해 데이터 마이닝을 수행하기 위한 세 가지 패러다임-RPC(Remote Procodure Call),이 등 에지전트, locker 패턴이 적용된 이동 에이전트에 대한 수행 평가 모델을 제시하였으며, 시뮬레이션을 수행하여 알고리즘을 평가하였다.

• Journal of Communications and Networks
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• 제5권3호
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• pp.240-248
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• 2003

This paper analyzes mobile agent performance in network management compared to the client-server model used in the Simple Network Management Protocol (SNMP). Prototypes of an application that gathers MIB-II (Management Information Base-II) variables have been created and tested on a LAN. After acquiring implementation parameters related to network management and to the mobile agent infrastructure, simulation results have been obtained on large topologies similar in shape to the Internet. Response time results show that mobile agents perform better than SNMP when the number of managed elements ranges between two specific limits, an inferior bound and a superior one, determined by the number of messages that pass through a backbone and by the mobile agent size which grows along with MIB-II variables collected on network elements. The results also show that a significant improvement is achieved when the mobile agent returns or sends data to the management station after visiting a fixed number of nodes.

• 인터넷정보학회논문지
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• 제9권1호
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• pp.137-143
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• 2008

유비쿼터스 환경에서 멀티 에이전트 시스템은 지능화 서비스를 제공하는데 유용하다. 본 논문에서는 멀티 에이전트 시스템에서의 통신 성능을 향상시키기 위한 새로운 스케줄링 서비스 모델을 제안한다. 이 모델은 에이전트 간에 교환되는 메시지의 수와 형식화된 ACL 메시지를 기반으로 가중치를 적용하여 우선순위를 할당한다. 제안된 방식은 JADE 플랫폼과 비교하여 메시지 당 처리시간과 총 소요시간을 적게 하는 것을 실험을 통해 보여준다. 더욱이 제안된 방식은 확장성 있는 메시지 처리 시스템을 만들 수 있게 한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -1
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• pp.549-552
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• 2000

We address an access control in the mobile agent-based workflow system. The Role Based Access Control (RBAC) is suitable to model the access control for business processes. However, current RBAC models are not adequate to mobile agent-based workflow system. Because separation of duties becomes complicated and it is impossible to perform several workflows at the same time. To solve these problems, we limit the scope of privilege within the specified task. We define considerations, specification of constraints needed in RBAC when tasks are involved. Also, we present an access control scenario and algorithms in the mobile agent-based workflow system.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.255-263
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• 2003

A multi-agent system designed to represent newly deregulated electricity markets in the USA is aimed at testing the capability of the multi-agent model to replicate the observed price behavior in the wholesale market and developing a smart business intelligence which quickly searches the optimum offer strategy responding to the change in market environments. Simulation results show that the optimum offer strategy is to withhold expensive generating units and submit relatively low offers when demand is low, regardless of firm size; the optimum offer strategy during a period of high demand is either to withhold capacity or speculate for a large firm, while it is to be a price taker a small firm: all in all, the offer pattern observed in the market is close to the optimum strategy. From the firm's perspective, the demand-side participation as well as the intense competition dramatically reduces the chance of high excess profit.

• Nuclear Engineering and Technology
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• 제54권9호
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• pp.3283-3292
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• 2022

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environment for the agent of reinforcement learning. The reinforcement learning agent chooses an action according to the system state obtained by the pressure sensor, the incremental action can gradually approach the optimal strategy for the current fault, and then the agent updates the network by different rewards obtained in the interaction process. In this way, we can transform the active fault tolerant control process of the OTSG to the reinforcement learning agent's decision-making process. The comparison experiments compared with the traditional reinforcement learning algorithm(RL) with fixed strategies show that the active fault-tolerant controller designed in this paper can accurately and rapidly control under sensor faults so that the pressure of the OTSG can be stabilized near the set-point value, and the OTSG can run normally and stably.

• 한국화재소방학회논문지
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• 제28권2호
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• pp.20-25
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• 2014

본 연구는 자체제작 축소모형 실험 장치를 이용하여 목재를 대상으로 침윤소화약제의 소화성능평가를 수행하였다. 축소모형실험의 최적조건 확인을 위해 소화용수의 양과 목재의 수를 변화시켜 조건설정 실험을 진행한 결과 20 pieces의 목재를 적층한 후 물과 소화용수 100 mL를 살수한 경우에 한하여 소화성능의 변별력을 확인하였다. 따라서 해당 조건에서 현재 사용되고 있는 국내외 침윤소화약제를 대상으로 소화성능을 평가한 결과, 물의 경우에서만 재 발화가 발생하는 것을 확인하였다. 또한 살수 시간에 따른 온도분포를 통해 소화능력의 변별력을 판단할 수 있었다. 본 실험 결과를 바탕으로 추후 최적화 침윤소화약제 성능평가 방법을 제시하는데 기초자료로 활용할 수 있을 것으로 판단된다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 하계종합학술대회 논문집(1)
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• pp.127-130
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• 2004

This paper describes the design and implementation of a SNMP Agent for NG-SDH transmission system. One of the most important items in SDH network management is the information model that implements every function of SDH equipment at network level. Although the TMN framework of SDH information model has been defined quite well, CMIP constraints of a real implementation urge vendors to implement proprietary features, and make it more difficult to maintain an integrated view of multivendor SDH networks management. To solve these aspects, this work proposes SNMP information model that allows a simple view of NG-SDH network management.

• 한국정보시스템학회지:정보시스템연구
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• 제10권2호
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• pp.5-32
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• 2001

The main goal of this research is at the development of a bundle product suggestion sub-system of an internet shopping mall for fishery products, which can reduce the search cost of user. To achieve the goal, we first study tie key factors of successful direct commerce for fishery products, and second, we design a bundle product suggestion module and its sub-module. For this, we identify the objectives of system, and write out the necessary functions of the system and models(process model, data model, dynamic model) through the analysis of user requirements. Based on the functions and models, we design user interfaces, database, processes, and knowledge base. In designing knowledge base and inferencing strategy, we consider two intelligent agent approach(optimal algorithms, heuristic rules) and suggest one more approach(case-based reasoning). The intelligent agent can be used in enhancing the suggestion of multiple fishery product simultaneously. The system analysis and design documents presented as the research results can be used to provide good guidelines to the companies who consider developing an production suggestion agents.