• Journal of Biosystems Engineering
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• 제18권2호
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• pp.133-143
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• 1993

In developing an Expert System(ES), there are two ways. One is to develop an ES using AI(artificial Intelligence) languages and another using ES-development tools. CLIPS is an ES-development tool and has a powerful inference engine in it. Using the tool like CLIPS, knowledge engineer can concentrate on constructing a knowledge base without wasting time in developing an inference engine. However, CLIPS is lack of user-friendly interfaces for both knowledge enginners and users. Because CLIPS was developed in USA, it can not afford to use Korean language. Therefore, several user-friendly interfaces including hmenu, htille, hpcxdisplay were develpoed and added to CLIPS. CLIPS with the interfaces is called HCLIPS(Hangul CLIPS) in this paper. HCLIPS provides a new I/O device to be utilized for expert systems in Korean. HCLIPS can be efficiently used for developing expert systems in agriculture and consulting farmers interactively who are not familiar with computer programming and ES itself.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.168-173
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• 2007

게임이나 가상환경에서 오락성과 실감성을 증진시키는 여러 가지 방법들 가운데 지능적인 Non-Player Character (NPC)들의 존재는 중요하다. 컴퓨터 그래픽과 관련 하드웨어 플랫폼 기술의 발전으로 인해 사용자들은 이제 시각적인 만족을 넘어서서, NPC들이 보다 지능적으로 행동하면서 오락적인 만족감과 동시에 보다 향상된 실감성을 제공하기를 원한다. 하지만, 유한상태기계 (Finite State Machine, FSM)를 기반으로 하는 NPC 구현의 한계와 어려움으로 인해 이러한 사용자들의 요구사항을 만족시키는 것은 어렵다. 본 논문에서는 FSM과 추론 엔진(Inference Engine)을 결합한 새로운 NPC 행동제어 구조를 제안한다. 또한 제안된 구조의 가능성을 시연하기 위해 실제로 동작하는 데모를 소개한다. 이러한 FSM과 추론 엔진의 하이브리드 구조는 FSM이 제공하는 NPC 반응의 실시간성을 보장하는 동시에 추론 엔진이 제공할 수 있는 보다 지능적이고 계획적인 NPC들의 행동을 만들어 낼 수 있다는 장점이 있다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.315-320
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• 1997

Rule minimization technique adapted from rough set theory was applied to remove redundant knowledge which is not necessary to make a knowledge base. New algorithm to diagnose fault using Improved Fuzzy Cognitive Maps(I-FCMs), and Fuzzy Associative Memory(FAM) is proposed. I-FCM[22] is superior to gathering knowledge from many experts and descries dynamic behaviors of systems very well. I-FCM is not only a knowledge base, but also a inference engine. FAM has learning capability like neural network[12]. Rule minimization and composition of I-FCM and FAM make it possible to construct compact knowledge base and breaks the border between inference engine and knowledge base.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 춘계학술대회 논문집
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• pp.410-415
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• 1997

Recently, The manufacturing companies are introducing the CAD/CAM systems to solve problems for the lack of experts, the higher cost of manufacturing and the difficulties of process. Knowledge engineering approach makes it possible to change a know-how of experts to computerized information effectivly. The proposal of this paper is the development of an interactive knowledge-based CAM system to disign and manufacture the mold with non-expert engineers used easily. This system is composed of two functional parts. One is the geometric modeler that used the technique of a feature modeling. The other is the expert system module that composed inference engine and databas which contains characteristics of materials and cutting tools setc.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 하계학술대회 논문집
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• pp.167-170
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• 1990

This paper presents a preliminary study of introduction of the Dempster-Shafer inexact reasoning method to the expert system for the power system design problem. A brief review of Dempster-Shafer theory of evidence is presented and development of an inference engine adopting the Dempster-Sharer theory is reported. Developed inference engine has a ability of handling both the confirming and disconfirming knowledge represented in the production rule, and has a general purpose application in the design and diagnosis problems. Its applicability has been tested on the problem of the protection scheme selection, one of the typical design problem and we believe, it has shown the feasibility of adoption of the inexact reasoning methodology into the design problem.

• ETRI Journal
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• 제41권4호
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• pp.515-527
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• 2019

This paper discusses the design, implementation, and potential use of an ontology-based mobile pediatric consultation and monitoring system, which is a smart healthcare expert system for pediatric patients. The proposed system provides remote consultation and monitoring of pediatric patients during their illness at places distant from medical service areas. The system not only shares instant medical data with a pediatrician but also examines the data as a smart medical assistant to detect any emergency situation. In addition, it uses an inference engine to infer instant suggestions for performing certain initial medical treatment steps when necessary. The applied methodologies and main technical contributions have three aspects: (a) pediatric consultation and monitoring ontology, (b) semantic Web rule knowledge base, and (c) inference engine. Two case studies with real pediatric patients are provided and discussed. The reported results of the applied case studies are promising, and they demonstrate the applicability, effectiveness, and efficiency of the proposed approach.

• 한국정밀공학회지
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• 제13권10호
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• pp.112-122
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• 1996

In order to monitior machine tool condition and diagnose alarm states due to electrical and mechanical faults, and expert system using diagnostic parameters of NC machine tools was developed. A model-based knowledge base was constructed via searching and comparing procedures of diagnostic parameters and state parameters of the machine tool. Diagnostic monitoring results generate through a successive type inference engine were graphically displayed on the screen of the console. The validity and reliability of the expert system was rcrified on a vertical machining center equipped with FANUC OMC through a series of experiments.

• 한국시뮬레이션학회논문지
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• 제16권2호
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• pp.75-81
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• 2007

과거의 대기행렬에 대한 추론은 여러 가지 제약 조건이 포함되어 수행되었다. 본 논문의 기반이 되는 Larson의 추론엔진 또한 포아송 도착과정을 기본 가정으로 추론을 수행하였다. 그러나, 이러한 가정 없이 실측 데이터만을 가지고 추론을 수행할 수 있다. 이는 보다 정확한 시스템의 성능척도 계산은 물론 보이지 않는 시스템 내부를 규명하는데 유용한 도구가 될 것이다. 본 논문은 이러한 추론 방법을 제안하고 타당성을 검토하여 보다 나은 시스템 분석에 적용하고자 한다. 먼저 서버의 수를 알고 있는 경우에 대한 추론 방법을 소개하고, 이를 바탕으로 서버의 수를 모르는 경우의 추론에 대해 확장한다. 우리가 제안한 추론모델을 검증하기 위하여 시뮬레이션을 수행하고 실제 시스템 성능척도 값과 추론에 의한 값을 비교 검토하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.921-924
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• 1993

For the purpose of applying to a high-speed control system, such as engine control for automobile application, we propose an architecture of a fuzzy inference processor, which can realize high-speed inference, high-resolution, and can be implemented with small chip area. We have designed a single chip based on the architecture, and confirmed the performance, such as 140 kFLIPS with 8-bit resolution.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1330-1333
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• 1993

In this paper, first, the fuzzy Petri net inference mechanism with learning function is proposed by using the extended fuzzy Petri nets. Secondly, a control system with this new inference engine is proposed. This system can do automatically and easily the knowledge acquisition from the operator's empirical data and can also be controller adaptively under the big parameter change.