• Asia pacific journal of information systems
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• 제14권3호
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• pp.121-144
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• 2004

Developing a personalized system on a user's behalf which is working around the Internet-based marketplace is one of the challenging issues in intelligent e-business, especially mobile commenrce. It has been highly recommended that such a mobile personalized system has to perceive the user's needs a priori by tracking user's current context such as location with activity and then to identify the current needs dynamically and proactively. Automatically and unobtrusively getting user's context is an inevitable feature for the development of autonomous mobile commenrce. However, personalization methodologies and their feasible architectures for context-aware mobile commerce have been so far very rare. Hence, this paper aims to propose a context-aware mobile commerce development methodology by applying agent and semantic web technologies for personalized reminder system, which is one of the mobile commerce support system. We revisited associationism to understand a buyer's need identification process and adopt the process as 'purchase based on association' to implement a personalized reminder system. Based on this approach, we have showed how the agent-based semantic web service system can be used to realize need-aware reminder system. NAMA(Need-Aware Multi-Agent), a prototype system, has been implemented to show the feasibility of the methodology and framework under mobile setting proposed in this paper. NAMA embeds bluetooth-based location tracking module and identify what a user is currently looking at through her/his mobile device such as PDA. Based on these capabilities, NAMA considers the context, user profile with preferences, and information about currently available services, to aware user's current needs and then link her/him to a set of services, which are implemented as web services.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.78-82
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• 2001

Most of current Internet auction systems are simple server programs that partly automated the function of the conventional auction house. These system do not provide sufficient independence, distribution and parallelism between the functions of the conventional auction house. In there are automated by server program, but still users need to execute a repetitive task to monitor the dynamic progress of a certain auction, decide proper bid price, and submit the bid. Another problem is that they support only single as English auction and Dutch auction, but they do not support the double auctions are superior to the single auction with respect to speed., efficiency, and the fair distribution of profit. In this paper, we present design and implement of an agent-based continuous double auction system, called CoDABot, in order to mitigate the limitations of current auctions system. CoDABot supports continuous double auction, provides various bidding agent for users to select, and has been implemented into a multi-agent system that realize more independent, distributed, and parallel subsystems.

• 전기학회논문지
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• 제62권3호
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• pp.322-331
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• 2013

This paper describes the development of the pilot plant of distributed intelligent management system for a microgrid. For optimal control and management of microgrids, intelligent agents area applied to the microgrid management system. Each agent includes intelligent algorithms to make decisions on behalf of the corresponding microgrid entity such as distributed generators, local loads, and so on. To this end, each agent has its own resources to evaluate the system conditions by collecting local information and also communicating with other agents. This paper presents key features of the data communication and management of the developed pilot plant such as the construction of mesh network using local wireless communication techniques, the autonomous agent coordination schemes using plug-and-play functions of agents and contract net protocol (CNP) for decision-making. The performance of the pilot plant and developed algorithms are verified via real-time microgrid test bench based on hardware-in-the-loop simulation systems.

• 한국정보처리학회논문지
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• 제7권5S호
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• pp.1620-1628
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• 2000

Existing internet auction systems have adopted the form which gives a win to the auction bidder who proposes the top bid price for the goods posted on the auction board. But they haven't been satisfying the automatical one-step processing for user's convenience because they must require continuous care of user for bidding and checking as well as neglecting the convenience of user interface while participating in the electronic bidding system. The AuctionBot system of Michigan Univ. is known as the representative internet auction system. It has merit allowing the various kids of bidding. But it does not support automatic a process which can replaces what user has to do using an agent. To improve this kind of user interface, we propose an automatic bidding price strategy algorithm which composes the auction system using agent and design for auto-bidding system using agent so that I can replace user's bidding activity. This mechanism gives an auction system the efficient bidding price strategy.

• 지능정보연구
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• 제6권1호
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• pp.35-50
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• 2000

Diverse requirements of users on web-based model management force a system agent to develop user-adaptive building a model in reality and providing an adequate solution method of the model. The relationship between models is important knowledge for the agent to effectively build a new model to adaptively adjust an existing model under a problem and to efficiently connect the new model into an adequate solution method. Since the generating process of the inter-model relationship is more difficult than the building a new model however the process mostly depends on the knowledge of operation research experts. Without the adequate scheme of the inter-model relationship the burden of the management for the agent increases rapidly and the quality of the services may worsen. This study shows that meta-knowledge generated from relationship between models is important for the user to build a model in reality and to acquire the solver appropriate to the model. The relationship that consists of common and exclusive objects between models can be represented by frames. The system under development to implement the idea includes user-adaptive ability which identifies a model through forward chaining method and searches the solver appropriate to the model by using the meta knowledge. We illustrate the meta knowledge with an applied delivery system in supply chain management.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.62-68
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• 2022

Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.263-278
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• 2010

Emergency Medical Service(EMS) requires a system that supports the communication between emergency medical technicians (EMT)s and the doctor in the emergency department. Because the rapid triage and on-site treatment of patients need doctor's medical advice. However, a system to assist the doctor assign for medical advice does not exist in Korea. This paper suggests a medical advice support system that focuses on appropriate doctor assign and real-time communication among the ambulance, the Emergency Medical Information Center (EMIC), and the doctor using an agent system. We expect that the system can help to solve the problems affecting prehospital EMS and improve its general quality.

• 한국산학기술학회논문지
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• 제15권11호
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• pp.6845-6848
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• 2014

본 논문에서는 네트워크를 통해 이루어지고 있는 DDoS공격을 감지하고 이를 방어할 수 있는 시스템을 설계한다. 제안하는 시스템은 경고 에이전트(Alert Agent), 공격분석 에이전트(Attack Analyzer Agent), 방어 에이전트(Defence Agent)의 3-티어(3-tier) 시스템으로 구성한다. 경고에이전트는 서버에서 서버의 자원이 부족해지는 시점에 공격분석에이전트로 서버의 트래픽을 복사하여 전송한다. 공격분석 에이젼트로 전송되는 트래픽은 송수신자 주소 및 패킷번호만을 처리하여 분석에이젼트의 부하를 감소한다. 공격분석 에이전트는 받은 트래픽을 분석하여 DDoS의 패턴과 일치하는지 검사한 후 DDoS공격으로 판단하면 방어에이전트에게 해당 발신자의 트래픽을 소멸하도록 지시한다. 이 시스템에서는 서버가 DDoS공격으로 인하여 과부하가 발생하여 작동이 중지되더라도 공격분석 에이전트가 DDoS트래픽을 선별하여 방어 에이젼트에게 차단하도록 지시하여 서버가 최대한 빨리 복구되도록 동작한다.

• 정보처리학회논문지B
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• 제8B권6호
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• pp.617-624
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• 2001

전자상거래가 활성화됨에 따라 제공되는 상품의 정보와 서비스의 내용이 점차 다양해지고 있다. 따라서 구매자들은 가격 정보뿐만 아니라 다양한 상품 정보들을 검색 추천해주는 에이전트 개발을 요구하고 있다. 본 논문에서는 전자상거래에서 도서 정보 검색과 관련하여 사용자의 선호도를 프로파일 형태로 표현하고, 도서 정보를 검색 및 추출하고 이를 추천하는 멀티 에이전트 시스템을 제안한다. 제안된 멀티 에이전트 시스템은 정보검색, 정보추천, 사용자 인터페이스, 웹 로봇과 같은 여러 개별 에이전트들의 동작들을 조정 에이전트의 설계 및 구현을 통하여 통제하고 관리한다. 본 멀티 에이전트 시스템을 윈도우즈 NT 서버에 구현하였다. 조정 에이전트의 관리 기능으로 중복된 정보 검색을 제거할 수 있었으며, 고객들에게 여러 온라인 도서 사이트의 도서 정보들을 실시간으로 제공할 수 있게 되었다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권4호
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• pp.439-446
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• 2004

사용자 적응형 웹 서핑 시스템 설계를 위해 전체 시스템을 사용자 데이타 수집, 데이타 처리를 통한 사용자 프로파일 구축 및 개선, 그리고 사용자 프로파일의 적용을 통한 적응 등 세 단계로 나누어 접근할 수 있다. 본 연구가 설계한 세 부문의 에이전트들은 이들 각 단계에서 작업하며 상호 유기적인 협동을 통해 적응형 웹 서핑을 지원한다. 이들은 각각 대화식 인터페이스 에이전트(Interactive Interface Agent), 사용자 프로파일 에이전트(User Profile Agent), 그리고 자동항해 에이전트(Autonomous Navigation Agent)이다. 대화식 인터페이스 에이전트는 사용자 인터페이스를 제공하며 이를 통해 데이타를 수집하고 기계적 항해 지원을 수행한다. 사용자 프로파일 에이전트는 수집된 사용자 데이타를 처리하여 사용자 브라우징의 실시간에 사용자 프로파일을 동적으로 구축하고 갱신한다. 자동항해 지원 에이전트는 사용자 프로파일에 기초하여 사용자 관심과 가까운 웹 문서를 자동으로 선별하여 추천하는 자동 항해 모드를 제공한다. 본 연구가 제시하는 접근과 설계 방식은 향후 확장과 보완을 통해 실용 가능한 수준의 사용자 적응형 웹 서핑 시스템 구축에 활용될 수 있다.