• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.963-970
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• 2002

In this paper, after defining the requirements to improve the processing of Internet auction, we design and implement Internet Auction Agent System (IAAS) based on the requirements. IAAS consists of a multi - agent system with buying/selling/negotiation agents for auction processing in accordance with the given price strategy, a graphic interface for supporting price strategies, an information agent for supplying real time information and remote control of agents, and DB. For the mobility, scalability, functionality and communication efficiency of agents, IAAS is implemented by using Java JDK1.3, Servlet, RMI and socket. Through the comparative analysis, we show that IAAS fulfills the requirements defined. IAAS can improve the convenience of users and the efficiency of auction processing, and thus increase the utilization of Internet auction.

• Journal of the Korean Society of Safety
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• v.32 no.1
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• pp.121-127
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• 2017

Recently, many patients in a hospital are threatened life by fire disaster. Because many patients like vulnerable people have more evacuation problem than ordinary person. So a patient who can escape by oneself with walking assistance device like crutches or wheelchair and another patient who can't escape by oneself are should be supported safety technologies and service. Earlier research of 'hospital evacuation' led by actual experiments or computer evacuation simulation. Actual experiment is effective to gain credibility of result but it is difficult for patients to experiment repeatedly and it requires consideration for spatial problem and economic problems. Although computer evacuation simulation have been used to solve these problems, almost have concluded only results based on velocity without evacuation device. In this study, evacuation results with support device application or not are analysed used by computer evacuation simulation based on MAS(Multi Agent System). As a result, it is drawn through proof of efficiency of evacuation device in the vertical space like stairs that can improve the evacuation plan for vulnerable people in the hospital.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1230-1237
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• 2024

Personalized learning is a critical factor in optimizing performance on construction sites. Traditional pedagogical methods often adhere to a one-size-fits-all approach, failing to provide the nuanced adaptation required to cater to diverse knowledge needs, roles, and learning preferences. While advancements in technology have led to improvements in personalized learning within construction education, the crucial connection between instructors' roles and training enviornment to personalized learning success remains largely unexplored. To address these gaps, this research proposes a novel learning approach utilizing multi-agent, context-specific AI agents within construction virtual environments. This study aims to pioneer an innovative approach leveraging the Large Language Model's capabilities with prompt engineering to make domain-specific conversations. Through the integration of AI-driven conversations in a realistic 3D environment, users will interact with domain-specific agents, receiving personalized safety guidance and information. The system's performance is assessed using the five evaluation criteria including learnability, interaction, communication, relevancy and visualization. The results revealed that the proposed approach has the potential to significantly enhance safety learning in the construction industry, which may lead to improve practices and reduction in accidents on diverse construction sites.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.353-362
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• 2002

정보가전에 대한 연구가 현재 활발히 진행 중에 있고 정보가전이 실현되었을 때 다양한 서비스와 연계가 가능하고, 사람들의 생활환경에 많은 변화가 일어날 것으로 전망된다. 본 논문에서는 정보가전 기반의 건강관리 멀티 에이전트 시스템을 설계와 구현을 기술하였다. 홈 제어 네트워크로는 전력선 기반의 LonWorks를 이용하고, OSGI(Open Services Gateway Initiative)를 이용하여 LonWorks기반의 디바이스들을 제어한다. 멀티에이전트 시스템으로는 FIPA(The Foundation for Intelligent Physical Agents) Specification을 따르고, 이 플랫폼 위에서 건강관리 에이전트, 가전제품관리 에이전트, 건강관리 Library, 요리 Library, 운동 Library를 구현하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.59.1-59
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• 2001

The attackers on Internet-connected systems we are seeing today are more serious and more technically complex than those in the past. Computer security incidents are different from many other types of crimes because detection is unusually difficult. So, network security managers need a IDS and Firewall. IDS (Intrusion Detection System) monitors system activities to identify unauthorized use, misuse or abuse of computer and network system. It accomplishes these by collecting information from a variety of systems and network resources and then analyzing the information for symptoms of security problems. A Firewall is a way to restrict access between the Internet and internal network. Usually, the input ...

• Journal of Korean Society for Quality Management
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• v.31 no.3
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• pp.114-125
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• 2003

In this paper, we deal with the problem of modeling of agent-based robot manufacturing cell. Its role is becoming increasingly important in automated manufacturing systems. For Object Oriented & Queueing Petri Nets (OO&QPNs), an extended formalism for the combined quantitative and qualitative analysis of different systems is used for structure and performance analysis of mobile robotic cell. In the case study, the OO&QPN model of a mobile robotic cell is represented and analyzed, considering multi-class parts, non-preemptive priority and alternative routing. Finally, the comparison of performance values between Shortest Process Time (SPT) rule and First Come First Serve (FCFS) rule is suggested. In general, SPT rule is most suitable for parts that have shorter processing time than others.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.91-93
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• 2009

In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.439-441
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• 2001

에이전트는 보다 폭넓고 정확한 정보를 다른 도메인과 플랫폼의 다중 에이전트 시스템과의 협력을 통해 사용자에게 제공해야 하고, 다른 시스템의 유휴 컴퓨팅 용량을 활용하는 진정한 의미의 분산환경을 제공해야 할 필요성이 대두되었다. 이러한 문제를 해결하기 여러 논문에서는 이동 에이전트를 제안하고 있다. 하지만 이동 에이전트를 보다 효율적으로 개발하기 위해서는 이에 대한 아키텍쳐가 여러 가지 도메인에서 사용될 수 있도록 제시되어야 한다. 따라서 본 논문에서는 이동 에이전트의 아키텍쳐를 재사용이 가능하도록 설계하기 위한 방안을 연구하고, 이동 에이전트를 다중 에이전트 시스템에 적응할 수 있는 방안에 대한 연구 결과로 에이전트의 이동성을 지원하는 다중 에이전트 시스템 아키텍쳐를 제안한다.

• Annual Conference of KIPS
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• 2008.11a
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• pp.1083-1086
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• 2008

유비쿼터스 시대를 맞이하여 기존의 클라이언트-서버 모델을 벗어나 분산된 자원을 활용하는 방법이 연구 중인데 그 중 대표적인 것이 멀티 에이전트 시스템이다. 그러나 멀티 에이전트 시스템은 에이전트를 탐색할 때 깊이 우선 탐색 기법을 사용하는데 이는 에이전트 시스템과 맞지 않는 면이 있어 멀티 에이전트 시스템을 분석하여 탐색을 단축하는 기법을 제안하고자 한다. 본 논문에서는 에이전트 시스템의 에이전트 탐색에 매니저 DF를 두어 확률적으로 탐색확률이 높은 에이전트 플랫폼을 우선탐색 함으로써 에이전트 탐색 성능을 향상시킬 수 있다. 또, 매니저 DF에 네트워크 장애 등의 사고를 대비하여 미리 인접한 DF에 자료를 백업해두어 장애 발생 시에도 백업해 둔 자료를 활용하여 빠르게 그 업무를 대체할 수 있도록 하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.10
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• pp.1031-1036
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• 2015

Proportional-integral-derivative (PID) controllers are widely used in industrial sites. Most tuning methods for PID controllers use an empirical and experimental approach; thus, the experience and intuition of a designer greatly affect the tuning of the controller. The representative methods include the closed-loop tuning method of Ziegler-Nichols (Z-N), the C-C tuning method, and the Internal Model Control tuning method. There has been considerable research on the tuning of PID controllers for single-input single-output systems but very little for multi-input multi-output systems. It is more difficult to design PID controllers for multi-input multi-output systems than for single-input single-output systems because there are interactive control loops that affect each other. This paper presents a tuning method for the PID controller for a two-input two-output system. The proposed method uses a real-coded genetic algorithm (RCGA) as an optimization tool, which optimizes the PID controller parameters for minimizing the given objective function. Three types of objective functions are selected for the RCGA, and each PID controller parameter is determined accordingly. The performance of the proposed method is compared with that of the Z-N method, and the validity of the proposed method is examined.