• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.64-66
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• 2003

본 연구에서는 병리진단 시 참여자들의 지식과 의견을 효과적으로 교환할 수 있는 온톨로지를 구축하고. 구축한 온톨로지를 기반으로 진단절차를 전산화하는 PathOnt 시스템을 개발하였다. PathOnt 시스템은 재활용 가능한 온톨로지를 사용함으로써 여러 전문가들 간의 의사소통과 지식공유의 문제를 극복하였으며, 다 층위로 구현하여 웹 어플리케이션으로써의 비전도 제시하였다

• Journal of Digital Convergence
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• v.11 no.1
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• pp.275-281
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• 2013

This space is for the of your study in English. If simple menu item changes or the addition of check items are necessary on GUI menu of existing test equipments for military facilities that are programmed by using RAD tools such as Visual C++, they should go through complex steps, such as numerous conducting steps, coding, flash design modification, recompiling and distribution. It is cumbersome process and waste much time. Also, on implementing them, it was worried about leaking secrets because a number of military security considerations were included. To solve such as the above problem, we proposed commercial RIA technologies and a COTS fault diagnostic knowledge-based system that implemented by the XML data design technique in this research. The proposed approach solves the problem of existing methods, reduced inspection time, and improved performance, usability, and maintainability.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.165-172
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• 2009

According to the American Cancer Society, breast cancer is the second largest cause of cancer deaths and most frequently diagnosed cancer in women. The currently most popular method for early detection of breast cancer is the digital mammography. A mass or calcification lesion has been known as the most important clue for the diagnosis. In this paper, we propose a diagnosis approach based on fuzzy cluster knowledge base. We combine different two sources of feature data in duel OFUN-NET and produce the diagnosis result with possibility degree. We also present the experimental results on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. These results show higher classification accuracy than conventional methods and the feasibility as a decision supporting tool for diagnosis of digital mammogram.

• Nuclear Engineering and Technology
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• v.25 no.1
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• pp.1-7
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• 1993

This paper describes a prototype expert system to aid operation in rod consolidation process. The knowledgebase is composed of three database groups and 60 rules with production, and object oriented techniques that correlates database groups. The expert system is designed to track the transitions of nuclear materials through the operation areas of the rod consolidation process, to diagnose current status in any operating conditions, normal and off-normal, and to advise operators to properly recover off-normality. The expert system can give efficient management of nuclear material accountability and process operation in the rod consolidation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.355-358
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• 2015

산업용 CRDI 엔진에서 센서의 정보를 분석하여 최적의 조건으로 엔진이 동작하도록 하기 위해 산업용 CRDI 시스템에 적합한 OBD-II 프로토콜을 설계하고 ECU의 센서 정보를 전문가 아닌 일반 사용자가 내용을 이해하기 쉽도록 사용자 중심의 진단기의 개발이 필요하다. 따라서, 본 연구에서는 자동차 고장진단 신호 및 센서 출력 신호를 유선시스템과 무선 시스템인 블루투스 모듈을 이용하여 실시간 통신이 제공 될 수 있는 OBD-II 진단기 S/W를 설계 및 구현하였다. 엔진이상으로 인한 사고의 예방이 가능하고, 최적의 조건으로 엔진이 동작하므로 과도한 배기가스 배출이나 불완전 연소가스 배출과 같은 대기환경오염을 예방할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.165-168
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• 2008

이 논문에서는 멀티미디어 컴퓨터에 연결된 미디키보드를 사용하여 피아노 연주를 혼자서 배우고 연습할 수 있도록 하기 위한 지능형 교습 시스템을 개발하기 위하여, 시스템 구조 및 모듈별 기능과 기본적인 사용자 인터페이스를 설계하였다. 시스템의 구조는 미디 키보드의 실시간 연주 샘플링 모듈, 미디 데이타의 시퀀싱 모듈, 사운드 합성 모듈과 연결된 지능형 교습 시스템이 된다. 세분화된 모듈별 기능에서는 학습 콘텐츠, 학습자 모델, 진단 평가 모듈, 진도 관리 모듈, 등의 세부적인 기능 설계가 필요하다. 학습자 모델을 기반으로 진단 편가 및 진도 관리를 지능적으로 처리하기 위해서 CLIPS를 사용한 전문가시스템 접근을 사용한다. 컴퓨터 화면상의 악보 디스플레이, 실시간 연주 화면, 진단 평가 디스플레이를 위한 GUI 설계가 필요하다. 그리고, 향후 콘텐츠 구축 및 시스템 구현 시에 예상되는 문제점과 해결 방안을 논의한다.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2006.06a
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• pp.69-70
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• 2006

The arrester's condition is related directly to protected equipment's safety. The most important is, therefore, arrester aging diagnosis. In this study, arrester aging diagnosis expert system is implemented to use JESS shell-engine and the leakage current detection technique.

• Journal of the Korea Institute of Military Science and Technology
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• v.8 no.4 s.23
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• pp.50-57
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• 2005

This paper describes an expert system for soldiers psychology diagnosis. In the field warfare, platoon leaders or company commanders have to diagnose his soldier's condition correctly. The expert systems, a field of artificial intelligence, can be appropriate approach for ill-structured paradigm. This use an UNIK system. This UNIK system is composed of UNIK-FRAME, UNIK-BWD, UNIK-WBI, UNIK-INDUCE and UNIK-Interface. Especially, UNIK-WBI system is very useful to display soldiers psychology diagnosis and so easy to use it. Any leader or commander can easily do this. This paper data is based on DSMIV. Through This expert system, combat power can be kept and accidents be protected.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.10
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• pp.217-224
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• 1999

Trouble shooting of modern machine tools equipped with sophisticated electronic as well as mechanical parts is so difficult that it is usually depends upon the experience and accumulated knowledge of the diagnosing persons. On the other hand, tool users are scattered in wide area, which makes it expensive for a machine tool maker to run a vast service network. An unmanned diagnosis system to which users can have access at all times could be an efficient alternative. For this purpose, a rule-based expert system for diagnosing machine tools is developed. This paper describes the structure of diagnostic knowledge, the rule firing mechanism, the diagnosis flow, and user query process. An example shows the feasibility of problem solving on site without help of a service expert from machine tool maker.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.633-639
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• 2001

This paper proposes a knowledge-based expert system. which is assembled into hardware organized with sensor module. AID converter, USB. data acquisition PC and software composed of monitoring and diagnosis module combined with a frame-based method using Sohre's chart and a rule-based method. Vibration signals using various sensors are acquired by AID converter. transferred into PC and processed to obtain a continuous monitoring of the machine status displayed into several plots. Through combining frame-base which covers wide vibration causes with rule-base which gives relatively specified diagnosis results, high accuracy of fault diagnosis can be guaranteed and knowledge base can be easily extended by adding new causes or symptoms. Some examples using experimental data show the good feasibility of the proposed algorithm for condition monitoring and diagnosis of industrial rotating machinery.