• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 추계학술대회
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• pp.294-299
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• 2007

In this paper, we introduce the methodology for the automatic generation of the subject field hierarchy for Intellgent Expert Management Framework using WordNet. Intelligent Expert Management Framework, which is proposed as an appropriate method to manage valuable tacit knowledge within the organization, defines the expert profile structure and proposes the efficient method to automate the process to collect and update the expert profile information based on the profile structure defined. To increase the satisfaction level of users, additional intelligent search features are defined and users can be given the list of experts in related or similar expert fields when they perform expert searches based on the expert database being built. To enable automatic profiling of the organizational experts as well as intelligent expert searches, the subject field hierarchy, upon which the expert profiles are classified and expert searches for similar fields are performed, should be predefined. In this paper, we propose the WordNet library method that first eliminates the ambiguity of the senses of nominal data values, constructs the subject field hierarchy by overlapping the hypernym of the remaining senses, and lastly adjusts the derived hierarchy to the preference of users. Based on the proposed methodology, we expect to avoid the prohibitive costs in building large subject field hierarchies when manually done as well as maintain the objectivity of the hierarchies.

• ETRI Journal
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• 제29권4호
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• pp.477-488
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• 2007

In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.

• 한국산학기술학회논문지
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• 제10권9호
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• pp.2361-2368
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• 2009

최근 게임에서의 인공지능에 대한 관심이 높아지고 있으며 인공지능 기술을 이용하여 게임 캐릭터를 좀 더 사실적이고 현실감 있게 하는 연구가 진행되고 있다. 특히 게임에서 NPC(Non Player Character)는 게임인공지능 관련 연구 대상의 중요한 부분으로 게임을 제작하거나 플레이하는 사람들 모두의 대상이 되고 있다. 본 논문에서는 PC(Player Character)에 능동적으로 반응하는 지능형 상황인지(Context Awareness) NPC 기술에 대하여 분석하고 이의 구현을 위한 지능형 NPC 프레임워크를 제안하였다. 제안된 상황인지 NPC 지능형 프레임워크는 다양한 상황인지 지능형 에이전트 구현에 적용될 수 있으며 또한 부가적인 에이전트의 추가와 삭제가 용이하기 때문에 점진적 개발과 다양한 응용에 적응적으로 개발이 가능하다.

• Nuclear Engineering and Technology
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• 제49권5호
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• pp.896-904
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• 2017

Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.315-322
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• 2023

Intelligent IoT environments that accommodate a very large number of clients require technologies that provide secure information service regardless of the number of clients. Wireless data broadcast is an information service technique that ensures scalability to deliver data to all clients simultaneously regardless of the number of clients. In wireless data broadcasting, clients access the wireless channel linearly to explore the data, so the access time of clients is greatly affected by the broadcast cycle. Data compression-based data broadcasting can reduce the broadcast cycle and thus reduce client access time. Therefore, a simulation framework that can evaluate the performance of data broadcasting by applying different data compression algorithms is essential and important. In this paper, we propose a simulation framework to evaluate the performance of data broadcasting that can adopt data compression. We design the framework that enables to apply different data compression algorithms according to the data characteristics. In addition to evaluating the performance according to the data, the proposed framework can also evaluate the performance according to the data scheduling technique and the kind of queries the client wants to process. We implement the proposed framework and evaluate the performance of data broadcasting using the framework applying data compression algorithms to demonstrate the performances of data compression broadcasting.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권3호
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• pp.125-134
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• 2014

본 논문은 에이전트들 간의 긴밀한 협력을 위해 신속한 메시지 통신을 필요로 하는 응용 분야들을 지원하기 위한 다중 에이전트 메시지 전송 구조를 제안한다. 제안하는 구조는 FIPA(Foundation of Intelligent Physical Agents) 표준 에이전트 플랫폼 규격에서 에이전트들에게 메시지 전송 서비스를 제공하는 요소인 ACC(Agent Communication Channel)를 MTSA(Message Transfer Service Agent)라는 에이전트들의 집합으로 표현한다. MTSA는 비동기 메시지 통신을 지원하며, 메시지 수신을 효율적으로 처리하기 위해 반응자 패턴(reactor pattern)을 사용하며, 메시지 송신 에이전트와 수신 에이전트의 상대적 위치 관계에 따라 에이전트들 간에 최적의 통신 수단을 선택하여 메시지를 전송하여 에이전트들 간의 긴밀한 협력이 가능하도록 한다. 제안된 메시지 전송 구조에 따라 구현된 다중 에이전트 프레임워크 SMAF(Small Multi-Agent Framework)는 잘 알려진 에이전트 프레임워크 JADE(Java Agent Development Environment)와 비교하였을 때 향상된 메시지 전송 능력을 보인다. 다중 에이전트 구조의 메시지 통신 속도가 고속화되면 될수록 그 다중 에이전트 구조는 더 다양한 응용 분야들에 적용될 수 있을 것이다.

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2008년도 제7회 추계학술대회 및 정기총회
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• pp.337-341
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• 2008

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1998년도 공동추계학술대회 경제위기 극복을 위한 정보기술의 효율적 활용
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• pp.913-928
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• 1998

• 한국컴퓨터산업학회논문지
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• 제5권7호
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• pp.729-736
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• 2004

최근 몇 년간 의료 부문에 있어서의 지식 관리의 중요성이 대두되고 있다. 따라서 의료 조직들은 지식 관리 전력을 적용하고자 노력하고 있다. 이에 본 논문에서는 의료 부문에서 지식 관리 부족 문제를 지원하기 위하여 공용적인 의료 관리를 위한 지식 관리 프레임워크를 제시한다. 이러한 프레임워크는 애플리케이션과 서비스의 두 개의 영역으로 구성된다. 즉 지능 에이전트 기반의 지식 관리 애플리케이션 영역과 전력적인 시각화, 계획과 연합 정보 서비스 영역으로 구성된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2610-2628
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• 2019

Advanced persistent threats (APTs) are constant attacks of specific targets by hackers using intelligent methods. All current internal infrastructures are constantly subject to APT attacks created by external and unknown malware. Therefore, information security officers require a framework that can assess whether information security systems are capable of detecting and blocking APT attacks. Furthermore, an on-line evaluation of information security systems is required to cope with various malicious code attacks. A regular evaluation of the information security system is thus essential. In this paper, we propose a dynamic updated evaluation framework to improve the detection rate of internal information systems for malware that is unknown to most (over 60 %) existing static information security system evaluation methodologies using non-updated unknown malware.