• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.343-345
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• 2000

기존의 객체지향, 구조적 방법적인 패러다임에서의 접근은 본질적으로 Goal 중심의 에이전트 시스템의 특성과 성질을 적절히 반영하기 어렵다. 그러므로 패러다임의 이동을 기하여 에이전트 시스템의 분석 관점을 Goal에 맞추고, Goal을 달성하려는 에이전트를 모델링해야 한다. 본 논문에서는 에이전트 기반의 소프트웨어를 효율적으로 분석하기 위하여 문제영역을 Goal의 측면에서 분석하고, Agent 선택 규칙으로 에이전트를 추출하여, 사용자의 요구사항을 달성하기 위한 에이전트들을 모델링하는 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.637-639
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• 2001

PDA를 이용한 무선통신 단말의 구성은 이동성, 편리성이 강조되어야 하며, 언제 어디서나 사용자가 원하는 정보를 받아 볼 수 있어야 한다. 이러한 필요성에 의해 정보를 자동으로 다운로드(download)한다면 사용자의 편리성은 더욱 증대될 것이다. 따라서 PDA용 소프트웨어를 개발할 때 필요한 구성요소로서 무선 에이전트(wireless agent)개념을 추가하여 소프트웨어 계층을 구성하면 별도의 소프트웨어 개발단계 없이 무선 에이전트가 추가된 소프트웨어를 쉽게 구성할 수 있다. 본 논문에서는 PDA를 위한 소프트웨어의 에이전트개념을 도입하고 무선이동단말기의 이용효율과 편리성을 극대화하고자 무선 에이전트 클래스를 설계하고 구현하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.106-108
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• 2003

최근 들어 인터넷의 급속한 발전으로 사용자가 처리해야할 점보의 양이 급속히 늘어나게 됨으로써 사람이 혼자만의 힘으로 이 많은 정보를 처리하는 것이 하나의 고단한 작업이 되었고, 이 작업을 돕기 위한 소프트웨어 에이전트(software agent) 의 필요성이 대두되었다. 본 논문에서는 구현한 소프트웨어 에이전트가 사용자의 업무보조 (personal assistant) 라는 자신의 임무를 수행하기 위하여 온톨로지(ontology)를 기반으로 사용자의 선호도(preference) 와 의사결정 패턴을 학습하여 사용자 프로파일(user Profile) 을 작성한다. 학습한 프로파일을 바탕으로 사용자의 선호도와 일치하는 제품을 추천하는 지능형 에이전트를 제안하고. 실질적인 실험을 통해 학습된 사용자의 성향을 분석한다.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.95-101
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• 2009

As RFID technology has been developed rapidly, its technical potential has it be widely used in many industrial fields. Particularly, in the physical distribution industry, the introduction of RFID has enormously contributed to effectively monitoring locations and information of products in real-time. Also, a significant decline in tag prices and RFID related technical competitiveness enabled each tag to be managed much more minutely by attaching it to an item, not a pallet nor a container. However, if a very large volume of tag data are continuously flowed into a RFID middleware with limited hardware resources, its entire data processing time may become considerably longer. Therefore, specific technologies are in great demand to handle and further to reduce the load of the middleware. In this paper, we proposed a mobile agent-based software module to efficiently reduce the load of the middleware by pre-processing a lot of tag data while items are in transit. Simulation results show that using the proposed software module considerably enhances the speed of processing tag data than otherwise. This behavior increases the tag recognition rate in a certain time limit and improves reliability of RFID middlewares.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.11-26
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• 2004

Software for analyzing documents on the net to detect specific categories of occurrences is in great demand. In the current world where detecting terrorist threats is critical there is a great need for such systems. One of the critical application areas of such software is the automatic detection of a national infrastructure emergency. In this research an agent-based generic architecture for emergency warning systems is proposed and implemented. This system, called the National Infrastructure Emergency Warning System (NIEWS), is designed to analyze given documents, to detect threats, and to report possible threats with the necessary information to the appropriate users autonomously. In addition, a systematic analysis framework to detect emergencies on the subject of defensive information warfare is designated and implemented through a knowledge base. The developed system along with the knowledge base is implemented and successfully deployed to Strategic Crisis Exercise (SCE) at the United State Army War College (USAWC), saving a good amount of money by replacing human SMEs (subject matter experts) in the SCE.

• Journal of Platform Technology
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• v.8 no.4
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• pp.47-58
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• 2020

DO-330 Software Tool Qualification Considerations is a guideline for development of tools used to develop/verify software and hardware installed on aircraft. And among several processes, the verification process is very crucial as it occupies a large proportion for DO-330. Especially, in order to qualify tool with high safety level, test objectives must be performed with independence, accordingly, more time, cost, and manpower are required than other objectives. In addition, even if the test cases or test procedures are well defined, the higher the complexity of the test the higher probability of human error occurs. In this paper, we propose Script-based Test Automation Agent software structure for efficient DO-330 verification process of A661UAGEN tool developed by Hanwha Systems. Compared to the test performed manually by the test engineer, testing time of the Script-based Test Automation Agent is reduced by 87.5% and testing productivity is increased by 43.75%.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.155-167
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• 2004

At this time, the two main techniques for achieving web personalization assistant systems generally concern direct manipulation and software agents. While both direct manipulation and software agents are intended for permitting user to complete tasks rapidly, efficiently, and easily, their methodologies are different. The central debate involving these web personalization techniques originates from the amount of control that each allows to, or holds back from, the users. Direct manipulation can provide users with comprehensibel, predictable and controllable user interfaces that give them a feeling of accomplishnent and responsibility. On the other hand, the intelligent software components, the agents, can assist users with artificial intelligence by monitoring or retrieving personal histories or behaviors. In this empirical study, two web personalization assistant systems are evaluated. One of them, WebPersonalizer, is an agent based user personalization tool; the other, AntWorld, is a collaborative recommendation tool which provides direct manipulation interfaces. Through this empirical study, we have focused on two different paradigms as web personalization assistant systems : direct manipulation and software agents. Each approach has its own advantages and disadvantages. We also provide the experimental result that is worth referring for developers of electronic commerce system and suggest the methodologies for conveniently retrieving necessary information based on their personal needs.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.109-114
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• 2002

E-commerce customers can reduce purchasing cost by the help of comparison shopping agents that collect price information of products in the shopping malls. However, user expects a software agent that can recommend product information satisfying various purchase conditions besides price. In this paper, we present a MAS (multi-agent system) which retrieves and recommends book information suitable for various user needs to realize an agent-based E-Commerce. We implemented and tested our MAS to help on-line bookstore customers. From the results, we could provide E-commerce customers various book purchase conditions for several online bookstores in real-time.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.207-216
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• 2000

Due to recent growing interest in autonomous software agents and their potential application in areas such as electronic commerce, the autonomous negotiation become more important. Evidence from both theoretical analysis and observations of human interactions suggests that if decision makers have prior information on opponents and furthermore learn the behaviors of other agents from interaction, the overall payoff would increase. We propose a new methodology for a strategy finding process using data mining in autonomous negotiation system ; ANSIA (Autonomous Negotiation System using Intelligent Agent). ANSIA is a strategy based negotiation system. The framework of ANSIA is composed of following component layers : 1) search agent layer, 2) data mining agent layer and 3) negotiation agent layer. In the data mining agent layer, that plays a key role as a system engine, extracts strategy from the historic negotiation is extracted by competitive learning in neural network. In negotiation agent layer, we propose the autonomous negotiation process model that enables to estimate the strategy of opponent and achieve interactive settlement of negotiation. ANISIA is motivated by providing a computational framework for negotiation and by defining a strategy finding model with an autonomous negotiation process.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.222-229
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• 2002

A value net is a business design that uses digital supply chain concepts to achieve both superior customer satisfaction and company profitability. In order to implement the value net model, information processing and distribution needs to occur in real time. Software agent technology is becoming popular due to the inherent characteristics of autonomy, distributedness and modularity. In this paper, we adopt agent technology to handle all real time decision process, making the value net model a complex multi-agent network of decision makers. For the agents to properly coordinate their respective activities we develop MAVN model, a Web-based multi-agent language grounded in the XML and Java.