• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1073-1082
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• 2004

This paper presents a technique for an agent to adaptively behave to unforeseen and dynamic circumstances. Since the traditional methods utilized the information about an environment to control intelligent agents, they were robust but could not behave adaptively in a complex and dynamic world. A behavior-based method is suitable for generating adaptive behaviors within environments, but it is necessary to devise a hybrid control architecture that incorporates the capabilities of inference, learning and planning for high-level abstract behaviors. This Paper proposes a 2-level control architecture for generating adaptive behaviors to perceive and avoid dynamic moving obstacles as well as static obstacles. The first level is behavior-network for generating reflexive and autonomous behaviors, and the second level is to infer dynamic situation of agents. Through simulation, it has been confirmed that the agent reaches a goal point while avoiding static and moving obstacles with the proposed method.

• Journal of Power Electronics
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• v.15 no.2
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• pp.455-468
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• 2015

A microgrid (MG) with integrated renewable energy resources can benefit both utility companies and customers. As a result, they are attracting a great deal of attention. The control of a MG is very important for the stable operation of a MG. The droop-control method is popular since it avoids circulating currents among the converters without using any critical communication between them. Traditional droop control methods have the drawback of an inherent trade-off between power sharing and voltage and frequency regulation. An adaptive droop control method is proposed, which can operate in both the island mode and the grid-connected mode. It can also ensure smooth switching between these two modes. Furthermore, the voltage and frequency of a MG can be restored by using the proposed droop controller. Meanwhile, the active power can be dispatched appropriately in both operating modes based on the capacity or running cost of the Distributed Generators (DGs). The global information (such as the average voltage and output active power of the MG and so on) required by the proposed droop control method to restore the voltage and frequency deviations can be acquired distributedly based on the Multi Agent System (MAS). Simulation studies in PSCAD demonstrate the effectiveness of the proposed control method.

• Journal of Information Technology Application
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• v.3 no.1
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• pp.77-89
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• 2001

인터넷의 급속한 확산과 보급으로 인하여 인터넷에서 접할 수 있는 정보의 양은 기하급수적으로 늘어나고 있다. 따라서 오늘날 인터넷에서의 정보검색은 쉬운 일이 아니며, 사용자를 대신해 여러 사이트로부터 정보를 수집하고 걸러주는 에이전트의 역할이 증대되고 있다. 본 논문에서는 에이전트를 이용한 적응형 정보 추천 시스템(ARS ; Adaptive Information Recommendation System)을 제안한다. ARS는 에이전트를 이용하여 여러 사이트로부터 정보를 수집하고 통합하며, 사용자가 관심을 가지는 정보만을 제공함으로써 정보검색을 위한 사용자의 시간과 노력을 최소화하고자 한다. 이를 위하여 수집 에이전트를 이용하여 여러 사이트로부터 주기적으로 정보를 수집하여 데이터베이스에 저장하며, 수집된 정보는 사용자 프로파일을 이용하여 사용자가 관심을 가지는 정보만을 제공한다. 사용자 프로파일은 제공된 정보에 대한 사용자의 행위를 관찰하여 수정되며, 이러한 작업을 반복함으로써 점차 사용자의 취향에 적응하게 되어, 보다 적절한 정보만을 사용자에게 제공할 수 있게 된다.

• 한국컴퓨터산업교육학회:학술대회논문집
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• 2003.11a
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• pp.127-133
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• 2003

The data models which express all types of video information physically and logically. and the definition of spatiotemporal relationship of video data objects In This paper, we classifies meta-model for efficient management on spatiotemporal relationship between two objects in video image data, suggests meta-models based on Rambaugh's OMT technique, and expanded user model to apply the adaptive model, established from hyper-media or web agent to VOD. The proposed meta-model uses data's special physical feature: the effects of camera's and editing effects of shot, and 17 spatial relations on Allen's 13 temporal relations, topology and direction to include logical presentation of spatiotemporal relation for possible spatiotemporal reference and having unspecified applied mediocrity.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.53-62
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• 2013

In cloud robotics, the model to share information efficiently is still a research challenge. This paper presents an information sharing model for cloud-enabled robots to collaborate and share intelligence. To provide the efficient message dissemination, an adaptive group communication based on multi-agent is proposed. The proposed algorithm uses a weight function for the link nodes to determine the significant links. The performance evaluation showed that the proposed algorithm produced minimal message overhead and was faster to answer queries because of the significant links compared to traditional group communication methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.808-813
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• 2003

Maintaining agility and responsiveness m designing and manufacturing activities are the key issues for manufacturing companies to cope with global competition. Distributed design and control systems are regarded as an efficient solution for agility and responsiveness. However, distributed nature of a manufacturing system complicates production activities such as design, simulation, scheduling, and execution control. Especially, existing simulation systems have limited external integration capabilities, which make it difficult to implement complex control mechanisms for the distributed manufacturing systems. Moreover, integration and coupling of heterogeneous components and models are commonly required for the simulation of complex distributed systems. In this paper, a collaborative and adaptive simulation architecture is proposed as an open framework for simulation and analysis of the distributed manufacturing enterprises. By incorporating agents with their distributed characteristics of autonomy, intelligence, and goal-driven behavior, the proposed agent-based simulation architecture can be easily adapted to support the agile and distributed manufacturing systems. The architecture supports the coordination and cooperation relations, and provides a communication middleware among the participants in simulation.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.259-260
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• 2008

전력계통에서 발생하는 고장의 70-95%는 1선지락 고장이고, 1선지락 고장의 70-90%는 아크고장이다. 아크고장이 발생하였을 경우, 아크고장과 같은 일시고장을 제거하고 투입하는 방법으로 자동재폐로가 사용되며 적절한 자동재폐로는 계통의 신뢰도 향상과 안정도 유지의 역할을 수행한다. 또한 송전용량 증대 및 무효전력 제어를 위한 FACTS(Flexible AC Transmission System, 유연송전시스템)기기의 사용이 증가함에 따라 FACTS가 적용된 계통에서 자동재폐로 영향을 분석해야 할 필요가 있다. 따라서 본 논문에서는 다양한 계통 상황을 보기 위해 기존의 멀티에이전트 기반의 자동재폐로가 적용된 계통에 FACTS을 적용하여 자동재폐로시의 영향을 분석하였다. EMTP와 JADE(Java Agent DEvelopment framework)를 이용하여 자동재폐로 계통 및 멀티에이전트 시스템을 모의하였으며, SVC(Static VAR Compensator)에 의한 영향을 분석하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.286-288
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• 2000

최근 웹에 대한 관심이 집중되면서 정보의 양이 지수적으로 증가하고 있다. 웹 사용자들은 정보 검색에 있어서 많은 어려움을 겪게 되었다. 이 문제를 해결하기 위해 정보검색(Information Retrieval) 시스템의 웹 환경으로의 적용이나 개인 적응형 에이전트(Personal Adaptive Agent)를 이용한 정보 여과(Information Filtering)에 대한 연구가 진행되어왔다. 본 논문에서는 BISAgent(Bookmark Information sharing Agent) 시스템이 사용자에게 효과적인 정보 검색을 제공함을 설명한다. BISAgent는 여러 사용자의 북마크 정보를 공유하여 협동적 정보 여과기법(Collaborative Filtering)을 이용한 협동적 웹 브라우징(Collaborative Web Browsing)을 수행한다. 이 시스템의 성능을 평가하기 위해 검색 결과의 개수를 통한 정보 여과의 양적 측면과 통계적 방법을 이용하여 정보 추천(information recommendation)의 정확성을 실험하였다.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.118-118
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• 1999

In this paper, we propose an agent negotiation algorithm of an intelligent agent system for an active and adaptive multimedia data services in the distributed environment. We describe theEARTS-II system that performs automatic job seeking and job offering operations using intelligentagents without user's intervention. EARTS-II offers best candidate lists as the results to usersthrough negotiation among agents considering conditions given by the users. And according to theresults, the EARTS-II supports real processes of employment, The negotiation algorithm tries tosatisfy all agents in the job market. To test the performance of the algorithm, simulation results arepresented.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.97-100
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• 2000

In previous research of social dilemma, there is no extended game that the players can select one game out of some social dilemma games. We propose this kind of game as ＂Distributed Social Dilemma＂ In this game, each player tries to acquire the adaptive strategy throughout local interactions. We make use of GA as evolutionary operations. In this paper, our purpose is to examine how the game selection of players influences the evolution of cooperation in distributed social dilemma. In order to examine, we formulate distributed social dilemma by Game Theory and use agent-based simulation that each agent is regard as player