• 산업공학
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• 제8권3호
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• pp.249-257
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• 1995

Expert system is an effective approach for quality system to be automated and thus to be an essential integrating mechanism in any move towards CIM(Computer Integrated Manufacturing). A quality control expert system is introduced and its relationship to CIM is illustrated in a case study. Process control expert system developed by Kim and Sin[6] has been improved via ODBC(Open DataBase Connectivity) for efficient information network, graph representation using Windows API for rapid response and some new rules for identification of patterns in control charts.

• 한국안전학회지
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• 제11권4호
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• pp.54-63
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• 1996

We establish an expert system for the xylene oxidation reaction process of chemical plants using HAZOP(Hazard and Operability Studies). Our research focus Is only reduced to the cooling system of the total chemical plant due to lack of information. This expert system shows the priority of reasons for the system failure using confidence factor.

• 제어로봇시스템학회논문지
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• 제8권7호
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• pp.589-598
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• 2002

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 한국컴퓨터종합학술대회 논문집 Vol.32 No.1 (B)
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• pp.673-675
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• 2005

The art psychotherapy expert system is a computer system which helps to analyse one's psychology through pictures. However we need a standard criterion because the psychology, the target of the art psychotherapy, does not only have a ambiguous criterion but also a vast range. We're going to suggest a criterion in the field of the art psychotherapy by constructing systematic database through knowledge acquirement of the art psychotherapy expert system. In this study we introduce a system which enables systematic classification and confirmation of symptoms according to mental analyses. The suggested system enables confirmation of a classical structure and systematic classification of knowledges through conversation by extracting nouns through sentence analysis from the knowledge of descriptive form based on the clinical purpose of sentence analysis.

• 대한전기학회논문지:전력기술부문A
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• 제48권11호
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• pp.1457-1463
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• 1999

This paper develops an real-time expert system for the electronic interlocking system. it obtains the higher safety by determining the railway interlocking strategy in order to prevent trains from colliding, and derailing in the viewpoint of veteran expert, considering the situation of station in real-time. The expert system determines the real-time interlocking strategy by confirming the interlocking relationships among signal facilities based on the interlocking knowledge base from input information such as signal, points, and it is implemented as the rule-based system in order to represented accurately and effectively the interlocking relationships. Especially in case of emergency the function which determines the rational route coordinating with IIKBAG on the workstation is designed in order to minimize the spreading effect. It is implemented in C computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the build and interface of the station structure database. And, the validity of the built expert system is proved by simulating the diversity cases which may occur in the real system for the typical station model.

• 한국컴퓨터정보학회논문지
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• 제26권8호
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• pp.83-90
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• 2021

본 논문은 인간공학 전문가를 활용하여 보다 나은 안전보건 환경을 조성하여 산업재해예방을 하고자 한다. 본 논문에서 사용한 데이터는, 산업안전보건연구원에서 조사한 산업안전보건동향조사를 사용하였으며 분석 데이터 수는 2,084개이다. 결론은 다음과 같다. 1. 설문조사 중 22.9%만이 인간공학 전문가를 활용하고 있었다. 다른 사업장의 경우 인간공학에 대한 이해도와 접근이 부족하여 활용하지 않는 것으로 사료된다. 2. 산업현장에서 인간공학 전문가는 작업절차서(94.8%), 모니터링 지침(85.5%), 위험요소 근로자에 정보제공(95.8%), 위험요소 교육실시(96.6%), 기타 예방조치(94.1%)를 체계적으로 관리하고 있는 것으로 나타났다. 3. 인간공학 전문가를 활용하는 기업은 활용하지 않는 기업에 비해 안전보건 의사소통은 2.391배(1.949-2.932) 잘 이루어지고 있으며, 안전보건문화는 2.128배(1.786-2.537) 안정적으로 정착되어 있는 것으로 나타났다. 본 연구 결과, 산업현장의 안전보건 분야에서 인간공학 전문가의 활용이 유의미함을 증명해 낼 수 있었다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.378-382
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• 2001

The purpose of this study was to develop an expert system supporting the diagnosis of diffuse interstitial lung disease by high resolution computed tomography. CLIPS(C language integrated production system) with rule-based reasoning was used to develop the system. Development of expert system had three stages knowledge acquisition, knowledge representation, and reasoning. Knowledge was obtained and integrated, from tables and figure legends of a representative textbook in the domain of this expert system, High-Resolution CT of the Lung, by Webb WR, Mueller NL, and Naidich DP. The acquired knowledge was analyzed to form a knowledge base. Overlapping knowledge was eliminated, similar pieces of knowledge were combined and professional terms were defined. The most important knowledge of findings was then selected for each disease. After groupings of combined findings were made, disease groups were analyzed sequentially to determine final diagnoses. The system was based upon the input of 69 diseases, 185 findings, 73 conditions, 387 status, and 62 rules. The system was set up to determine the diagnoses of diseases from the combination of findings using forward reasoning. In an empirical trial, the system was applied to support the diagnosis of 40 cases of diffuse interstitial lung diseases. The performance of two doctors with support of the system was compared to that of another two doctors without support of the system. The two doctors with the support of the system made more accurate diagnoses than the doctors without the support of the system. The system is believed to be useful for the diagnosis of rare diseases and for cases with many possible differential diagnoses. In conclusion, an expert system supporting the high resolution computed tomographic diagnosis of diffuse interstitial lung disease was developed and the system is thought to be useful for medical practice.

• 한국산학기술학회논문지
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• 제14권5호
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• pp.2481-2486
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• 2013

GPS에 대한 이해가 부족한 일반사용자가 정상적으로 GPS 자료를 처리하기 위해서는 많은 시간과 노력이 필요하다. 하지만 GPS 자료처리 분야는 외산 소프트웨어에 크게 의존하고 있으며, 사용자 위주의 기술 개발은 거의 이루어지지 않고 있다. 이에 본 연구에서는 비전문가도 상대측위 방법으로 고정밀 GPS 자료처리가 가능한 전문가 서비스를 구축하고자 하였다. 연구결과, GPS 자료처리에 필요한 최소 정보만을 입력함으로써 사용자의 편의성을 극대화시킬 수 있는 전문가 서비스를 개발하였으며, 국토지리정보원에서 제공하는 위성기준점의 관측자료와 실제 GPS측량으로 취득한 관측자료의 처리를 통해 전문가 서비스를 검증하였다. 전문가 서비스는 GPS 자료처리에 소요되는 노력과 시간을 크게 단축시킴으로써 정밀위치결정은 물론 다양한 학술연구에 기여할 것이다.

• 생물환경조절학회지
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• 제12권1호
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• pp.30-37
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• 2003

Visual FoxPro를 사용하여 한글 사용과 대용량 정보처리에 문제가 없고 비전문가의 사용이 용이한 전문가 시스템을 개발하였다. 본 시스템에서는 추론 방식으로 패턴매칭을 이용한 순방향 추론을 채택하였으며, 지식베이스는 IF∼THEN 규칙으로 표현하였다. 또한 추론결과의 확신도 계산에는 MYCIN 규칙을 이용하였으며, 윈도우에서의 추론을 위한 제반 자료와 규칙의 수정과 보완이 용이하도록 컨트롤 기능을 채택하였다. 개발된 추론엔진, 데이터베이스 그리고 사용자 인터페이스를 기반으로 모이와 토마토를 대상으로 한 생육장해진단 관련 데이터 베이스를 구축하여, 농민과 같은 비전문가의 활용이 용이한 생육장해 진단용 전문가 시스템을 개발하였다. 개발한 시스템의 사용상 편리성과 정확성을 농민과 농업 종사자들을 대상으로 조사한 결과, 사용자에 따라서 결론의 확신도에는 약간씩 차이가 있었으나 관행의 장해 진단방법과 비교할 때 유용한 것으로 나타났다. 또한 개발된 전문가 시스템의 기본 구조 및 추론엔진은 오이와 토마토 이외의 농작물 생육장해 진단에도 해당 데이터 베이스의 변경을 통하여 직접 응용이 가능할 것으로 기대된다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.376-381
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• 1992

This paper presents an expert system for the segmentation of a 2.5-D image. The results of two segmentation approaches, edge-based and region-based, are combined to produce a consistent and reliable segmentation. Rich information embedded in the 2.5-D image is utilized to obtain a view independent surface patch description of the image, which can facilitate object recognition considerably.