• 한국국방경영분석학회지
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• 제24권1호
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• pp.18-40
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• 1998

This paper is aimed to design an intelligent military decision aiding system in a network computing environment, especially focusing on designing an intelligent analytic system that has data mining tools and inference engine. Through this study, we concluded that the intelligent analytic system can aid military decision making processes. Highlights of the proposed system are as follows : 1) Decision making time can be reduced by the On-line and Real-time analysis ; 2) Intelligent analysis on military decision problems in network computing environments in enabled; 3) The WWW-based implementation models, which provide a standard user interface with seamless information sharing and integration capability and knowledge repository.

• 한국경영과학회지
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• 제20권3호
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• pp.77-104
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• 1995

Intelligent Decision System support the decision analysis process in the managerial problems with decision analytic knowledge as well as domain specific knowledge. Influence Diagram has been one of the major knowledge representation in the intelligent decision system. In the development of intelligent decision system, knowledge acquisition is also known to be difficult. This paper suggests a developing tool using an influence diagram and Verbal Protocol Analysis which facilitates knowledge acquision for intelligent decision system. An ennvironmental decision making problem is used as an illustrative example and validation of the suggested developing tool is discussed. The suggested tool is very flexible to be expanded or applied to similar problems.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.187-194
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• 1999

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.122-129
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• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
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• pp.187-223
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• 2000

1990년대 후반부터 Internet은 지식 정보 사회의 핵심 기반으로 급부상하면서 산업의 전 분야에 걸쳐 영향을 미치게 되었다. 이에 본고에서는 인터넷의 특성에 기인하는 여러 가지 현상들을 경쟁우위 변수를 선정하고 설문 조사를 통해 요인분석과 AHP(Analytic Hierarchy Process)의 쌍비교법을 이용하여 모델별 경쟁우위요소들의 우선순위를 도출하였다.

• 산업공학
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• 제13권2호
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• pp.234-245
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• 2000

In this paper, the conceptual framework of IBS(Intelligent Building Systems) is redefined, and we propose two ANP(Analytic Network Process) models for ranking IBS. Traditional models have ranked IBS according to technical features or the number of elements in IBS. But, we consider relative functional importance among IBS elements for efficient building operation. According to the structure of interactive-relationship among IBS elements, we present two types of model. The one is Model A that is composed of both hierarchical and network structures. It has $12{\times}12$ supermatrix consists of interdependent relationship between 6 benefit elements(Productivity, Saving, Safety, Convenience, Pleasantness, Environment Affinity) and 6 IBS elements(Building Operation, Security, Safety, Telecommunication(TC), Office Automation(OA), other elements). Each of 6 IBS elements has subelements in hierarchical structure. The other is Model B that has $25{\times}25$ supermatrix consists of interdependent relationship between 6 benefit elements and 19 IBS sub elements. Merits and demerits of each model are discussed in detail.

• 한국지능시스템학회논문지
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• 제10권2호
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• pp.83-93
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• 2000

본 논문은 교통 교차로 신호의 최적 주기 시간을 구하기 위해 계층분석법(AHP:Analytic Hierach Process) 제어기 사용을 제어한다 전문교통평가자로부터 데이트를 받아 시뮬레이션을 하여 AHP 제어기의 성능이 고정 시간 제어기 퍼지제어기와 비교되었다 시뮬레이션은 안산시청 로타리의 많은 전문 면담자로부터 얻은 더에터를 사용하여 실행되었다 주요한 문제는 AHP 제어기 알고리즘이 교통 교차로 신호제어를 위해 전문 시스템으로 구성되어 교통 신혼 통제 체제를 얼마나 보조할 수 있는가이다 논문은 두 단계를 갖는다 (1) 개개목적의 중요성을 계산할 수 있는 Satty의 연구를 기초로 하는 새로운 방법을 제안한다 (2) 인간의 결정 체계는 퍼지 적분이 사용되는 근사 추론에 의하여 나타내진다는 것을 고려한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1043-1064
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• 2020

A kind of Subjective Imaging Effect Assessment (SIEA) method and its applications on intelligent imaging terminal design in engineering site are presented. First, some visual assessment indices are used to characterize the imaging effect: the image brightness, the image brightness uniformity, the color image contrast, the image edge blur, the image color difference, the image saturation, the image noise, and the integrated imaging effect index. A linear weighted function is employed to carry out the SIEA computation and the Analytic Hierarchy Process (AHP) technique is used to estimate its weights. Second, a SIEA software is developed. It can play images after the settings of assessment index or assessment reaction time, etc. Third, two cases are used to illustrate the application effects of proposed method: the image enhancement system design for surveillance camera and the imaging environment perception system design for intelligent lighting terminal. A Prior Sequential Stimulus (PSS) experiment is proposed to improve the evaluation stability of SIEA method. Many experiment results have shown the proposed method can realize a stable system design or parameters setting for the intelligent imaging terminal in engineering site.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2007년도 추계학술대회 학술발표 논문집
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• pp.328-332
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• 2007

본연구에서는 센서의 융합을 통하여 환경을 인식하며, 주변환경에 대한 지식을 갱신, 학습할수 있는 방법론을 연구하며, 동적인 장애물의 감지및 움직임 예측에 기반한 지능적 회피 알고리즘과 AHP를 이용한 Navigation Strategy수정과 이동 로봇 스스로 최적의 결과를 낼수 있게 개선 시키는 알고리즘을 구현한다. 그와 더불어 AHP를 이용하여 Navigation Performance를 최대로 높일 수 있는 방향을로 진화시키는 알고리즘을 구현한다. 또한 부여된 임무수행을 위한 목표물 추적을 위한 비전 시스템에서의 대상체 추출및 인식 알고리즘을 개발하며 인간뇌의 환경인식 체계와 유사한 방식의 Map building기법을 연구한다.

• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.1377-1382
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• 2015

Power system restoration following a massive blackout starts with re-energizing Primary Restorative Transmission (PRT) systems at first. As power systems have been gradually enlarged and become more complex, periodical evaluation and reassignment of PRTs are needed. So far it has been decided by try and error approach by corresponding human experts to analyze and evaluate them. This paper presents an intelligent system that finds optimal primary restoration paths using analytic and heuristic knowledge from PSS/E data, and suggests an optimal PRTs depending on the condition of Ferranti effect or a reactive power capability margin of black-start generator. This system was tested in Korea Electric Power system, and showed a promising result.