• 한국지능시스템학회논문지
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• 제27권1호
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• pp.7-14
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• 2017

이론적으로 분산 비동기 통신 환경에서 공통믿음 또는 공통지식의 형성은 불가능하다고 받아들여져 왔으나, 서로 신뢰하는 에이전트 그룹에서는 비동기 통신을 사용하더라도 데드라인이 있는 명제들은 공통믿음이 될 수 있고 이를 바탕으로 한 추론이 가능함을 보여준다. 일반적으로 멀티에이전트 환경에서 공통믿음의 형성은 통신의 문제로 접근하며 통신 시간의 제약이 없는 시스템 상에서는 공통믿음이 형성되지 않는다는 공통믿음 역설 문제를 느슨한 정밀도를 적용하고 필요한 요구조건을 완화시켜 공통믿음을 형성 할 수 있음을 카카오톡 채팅방 모델을 통해 확인한다. 또한 카카오톡 채팅방 모델의 각 에이전트에 추론 기능을 구현하여 생성된 공통믿음을 알고 있는지에 관한 질의를 통해 공통믿음임을 확인하는 추론 기능을 실험하였다. 분산 멀티에이전트 환경에서 공통믿음의 표현과 추론을 메타논리 프로그래밍으로 형식화하였으며, 카카오톡 채팅방 모델을 통해 비동기 통신을 사용하는 분산 에이전트 그룹이 공통믿음을 형성할 수 있음을 실험적으로 보였다.

• Journal of Ship and Ocean Technology
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• 제3권2호
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• pp.27-48
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• 1999

The paper is concerned with application to develop the expert system, which structural analysis and design process for tower cranes. The system is organized into three groups. One is pre-processor for creating input data files, another is `model former' which combines knowledge-base with inference engine for automatic generating structural analysis models, a third is application group for final analysis checks. In this study, geometric subroutine of `model former' designates node positions, nodes, elements numbers and element types. Load data subroutine computes weight of tower crane and device, slewing force, cargo load, wind force form rules or equations in knowledge-base. Also, Property and boundary subroutine applies element properties and boundary conditions to suitable elements and nodes. Design and analysis expert system for tower crane integrates these subroutine, `model former' and pre-processor. RBR(Rule-Base Reasoning) was adopted for a reasoning strategy of this expert system. And this expert system can produce structural analysis model and data, which can be used in ordinary structural analysis program (SAP, ADINA or NASTRAN, etc.). In this paper, this expert system produces format of the analysis model data, which are used in MSC/NASTRAN. The main discussions included in the paper are introduction of the tower crane and structural analysis, composition of the design expert system for tower crane and structural analysis using the expert system.

• 한국생활과학회지
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• 제10권2호
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• pp.215-224
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• 2001

Creativity is a trait necessarily demanded in highly industrial and information oriented society. Accordingly, we should develop creativity through school education. The purpose of this study is to inquire a conceptual model and teaching method for developing creative problem solving skills in home economics education which can work at a platform for the curriculum developer. Although many definitions of creativity consider cognitive aspect more, personal or affective aspect is heavily involved with creativity. Therefore, creativity is a dynamic system which cooperates many contrasting and dialectic components in personal and cognitive aspects. The function of creativity is dependent on diverse environmental system. Environments influence on the extent of the development of creativity. Thus, the person-situation interaction model devised by Woodman and Schoenfeldt, integration of cognitive, affective, and situational aspects, is suggested as a conceptual model for teaching creativity in home economics education. The practical reasoning teaching model is suggested as a teaching method for developing creative problem solving skills in home economics education. The components of creative problem solving which involved with practical reasoning process are general knowledge and skills, specific knowledge and skills, divergent thinking skills, motivation and motives, and critical thinking skills.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.224-229
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• 2001

When a semiconductor package is assembled, various materials such as die attach adhesive, lead frame, EMC (Epoxy Molding Compound), and gold wire are used. For better preconditioning performance, the combination between the packaging materials by studying the compatibility of their properties as well as superior packaging material selection is important. But it is not an easy task to find proper packaging material sets, since a variety of factors like package design, substrate design, substrate size, substrate treatment, die size, die thickness, die passivation, and customer requirements should be considered. This research applies case-based reasoning(CBR) technique to solve this problem, utilizing prior cases that have been experienced. Our particular interests lie in building decision support model to aid the selection of proper die attach adhesive. The preliminary results show that this approach is promising.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2010년도 하계학술대회
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• pp.95-99
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• 2010

본 연구에서는 초등학교에서 스크래치 프로그램을 활용한 사용자 중심 디자인 모델에 기반한 하이레벨(High Level)단계의 프로토타이핑 기법을 적용하여 응용프로그램 개발 교육모형을 제시하여 적용해 보고 그 효과를 검증해 보고자 한다. 본 연구의 결과는 초등학교에서 문제해결력과 논리적 사고력 신장을 위한 응용프로그램 개발 교육의 새로운 접근방법이 될 것으로 기대한다.

• 영재교육연구
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• 제9권2호
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• pp.73-101
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• 1999

The purpose of this study was to suggest an advanced system for educating scientifically gifted children in the Center for Science Talented Education at Kyungpook National University. Several suggestions based on analysis of current identifying-process and instructional materials for scientifically gifted children were provided for advancing the educational system of the center. First, this study suggested a three-step procedure to identify procedure emphasized students reasoning skills as one of important characteristics of the gifted child. Second, this study provided an instructional model for developing hypothesis testing skills in scientifically gifted children. The model was originally based on Lawson's scientific reasoning processes and learning cycle mode. Third, this study also suggested an effective administration system of the Center for Science Talented Education. Further, this study suggested effective ways on research works for advancing the center, educating instructors, the cyber center for remote education, and international co-works for developing the gifted children's potential abilities.

• 지식경영연구
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• 제1권1호
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• pp.81-90
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• 2000

This study proposes the knowledge discovery process for the effective mining of knowledge on the web. The proposed knowledge discovery process uses the Prior knowledge base and the Prior knowledge management system to reflect tacit knowledge in addition to explicit knowledge. The prior knowledge management system constructs the prior knowledge base using a fuzzy cognitive map, and defines information to be extracted from the web. In addition, it transforms the extracted information into the form being handled in mining process. Experiments using case-based reasoning and neural network" are performed to verify the usefulness of the proposed model. The experimental results are encouraging and prove the usefulness of the proposed model.

• 한국가정과교육학회지
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• 제13권3호
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• pp.1-11
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• 2001

The purpose in this study was to investigate stages of concern of home economics teachers about the practical reasoning instruction(PRI) innovation configuration. levels of use. using Concerns Based Adoption Model(CBAM) The design of the study was descriptive. The Questionnaires of stages of concern. levels of use. and innovation configuration developed by Hall in 1987 were used. Data from HE teachers were collected through mailing. focus interview. and phone calls. Mean. percents. an frequencies were used to describe stages of concern, level of use. and innovation configuration. The results of the study were as follows: 1. The highest number of HE teacher respondents was stage 1. Information in March and july. 2 In terms of mean of PRI configuration. percentile. the HE teachers had implemented over 63% of the PRI elements and the cooperative learning elements in both March and July. However. of evaluation elements, 33% in March and 47% in July had been conducted. 3. The highest number of HE teacher respondents was level 3. Mechanical level in March. and July.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.825-827
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• 1989

A heuristic model which determines the scheduling of serial flowshops with minimization of the makespan is proposed for an idealized batch chemical plant. It generates an initial sequence by heuristic reasoning and improves it recursively until no improvement is possible. The heuristic reasoning is based on Johnson's Rule which gives the sequence with the minimum makespan for a two-unit flowshop. The evolutionary step searches the neighborhood of the current sequence for sequences with lower makespan. The robustness of this model is also examined by comparing the minimum makespan of literature examples with the theoretical one.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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• pp.285-288
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• 2006

Most previous studies on improving the effectiveness of CBR have focused on the similarity function aspect or optimization of case features and their weights. However, according to some of the prior research, finding the optimal k parameter for the k-nearest neighbor (k-NN) is also crucial for improving the performance of the CBR system. Nonetheless, there have been few attempts to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors that combine, as well as the weight of each feature. The new model is applied to the real-world case of a major telecommunication company in Korea in order to build the prediction model for the customer profitability level. Experimental results show that our GA-optimized CBR approach outperforms other AI techniques for this mulriclass classification problem.