• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 추계정기학술대회
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

• 한국조경학회지
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• 제24권3호
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• pp.150-163
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• 1996

This study was carried out to find the general representation methods of wall with respaect to the Korean treaditional atmosphere based on case studies, 16 case studies were classified into two categores : traditional walls and designed walls expressing the treaditional atmosphere. And the representation methods of walls were viewed by two sides : the type of message and the role of sign. The results were summarized as follows ; ■ To reproduce the traditional walls is possible, in this case the role of sign is icon. ■ To reproduce or represint the visual element of the traditional walls will be also possible, in this case the role of sign is index. It is recommended to use 3 types of message in representing methods of walls expressing the Korean traditional atmosphere. ■ Shape ; Approach to shape is more effective than maerial or figure. It is possible to represent the shape element of the traditional walls. Specially, it will be effective to utilize the capital of traitional walls as shape element. ■ Material ; Conventional materials with less artificial processing used at traditional walls will be better suited. ■ Figure ; To utilize the traditional figures is possible. Specially, it will be effective to utilize the traditional figures as design approach with respaect to the sense of place. Futher research is required to find out the relationship between the meaning and the design mechanics.

• 산업공학
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• 제15권2호
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• pp.114-125
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• 2002

The objective of this paper is to describe a systematic accident scenario analysis method(SASA) adept at creating accident scenarios for the design of safer products. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management. In this study, the QFD provides a formal and systematic scheme to devise accident scenarios while maintaining objectivity. SASA consists of three key stages to be broken down into a series of consecutive steps:(1) developing an accident analysis tableau,(2) devising the accident scenarios using the accident analysis tableau,(3) performing a feasibility test, a clustering process and a patterning process, and finally(4) performing quantitative evaluation of each accident scenario. The SASA was applied to a case study of child safety seats. The accident analysis tableau devised 2828(maximum) accident scenarios from all possible relationships between the hazard factors and situation characteristics. Among them, 270 scenarios were devised through the feasibility test and the clustering process. The patterning process reduced them to 29 patterns representative of all accident scenarios. Based on an intensive analysis of the accident patterns, design guidelines for a safer child safety seat were recommended. The implications of the study on the child safety seat case were then discussed.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2007년도 추계학술대회 학술발표 논문집
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• pp.283-286
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• 2007

This paper proposes a genetic algorithm (GA) approach to instance selection in case-based reasoning (CBR) for the prediction of Korea Stock Price Index (KOSPI). CBR has been widely used in various areas because of its convenience and strength in complex problem solving. Nonetheless, compared to other machine learning techniques, CBR has been criticized because of its low prediction accuracy. Generally, in order to obtain successful results from CBR, effective retrieval of useful prior cases for the given problem is essential. However, designing a good matching and retrieval mechanism for CBR systems is still a controversial research issue. In this paper, the GA optimizes simultaneously feature weights and a selection task for relevant instances for achieving good matching and retrieval in a CBR system. This study applies the proposed model to stock market analysis. Experimental results show that the GA approach is a promising method for instance selection in CBR.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 춘계정기학술대회
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• pp.399-408
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• 2001

This paper presents a simultaneous optimization approach of case-based reasoning (CBR) using a genetic algorithm(GA) for the prediction of stock price index. Prior research suggested many hybrid models of CBR and the GA for selecting a relevant feature subset or optimizing feature weights. Most studies, however, used the GA for improving only a part of architectural factors for the CBR system. However, the performance of CBR may be enhanced when these factors are simultaneously considered. In this study, the GA simultaneously optimizes multiple factors of the CBR system. Experimental results show that a GA approach to simultaneous optimization of CBR outperforms other conventional approaches for the prediction of stock price index.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 춘계정기학술대회
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• pp.445-454
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• 2001

A workflow model is useful fur business process analysis and has often been implemented for office automation through information technology. Accordingly, the results of workflow modeling need to be systematically managed as information assets. In order to manage the modeling process effectively, it is necessary to enhance the efficiency of their reuse. Therefore, this paper creates a Document-barred Workflow Modeling Support System (DWMSS) using a case-based reasoning (CBR) approach. It proposes a system architecture, and the corresponding modeling process is developed. Furthermore, a repository, which consists of a case base and vocabulary base, is built. A carte study is illustrated to demonstrate the usefulness of th is system.

• 과학기술학연구
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• 제4권2호
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• pp.33-66
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• 2004

오늘날 과학은 더 이상 과학지식으로 환원될 수 없을 만큼 복잡하고 포괄적인 과학활동으로 증대되었고, 이 활동에 관여하는 행위자들 역시 과학기술자의 좁은 범위를 넘어 연구지원체계, 언론, 교육, 기업 등 넓은 범위로 확산되었다. 따라서 과학이라고 총칭되는 이 활동은 우리 시대의 가장 중요한 문화인 셈이다. 오늘날 우리에게 요구되는 소통은 문화로서의 과학에 대한 이해이다. 그리고 그 중에서 가장 중요한 측면은 "사회적, 문화적 맥락 속에서 만들어지는 과학"이다. 흔히 STS라 불리는 과학기술학은 이처럼 포괄적이고 끊임없이 변모하는 과학을 이해하기 위한 간학문적 접근방식이다. STS라고 총칭되는 학문 영역이 탄생하게 된 배경자체가 날로 사회에 대한 규정력이 높아가는 과학에 대한 이해의 시급한 필요성 때문이었다. 따라서 간학문적 접근방식인 STS의 연구성과를 과학교육을 비롯한 과학커뮤니케이션에 적용시키는 것은 당연한 일이라 할 수 있다. 이 논문은 지난 2002년에서 2004년까지 고려대학교의 자유교양 과목으로 개설되었던 "과학기술과 사회" 강좌에 대한 분석을 통해서 학문적 배경과 관심사가 다양한 학부학생들이 상대적으로 새롭고 낮선 과학기술적 주제에 어떻게 접근하는지, 그리고 어떤 주제에 관심을 가지는지를 분석한다. 따라서 이 연구는 날로 복잡해지는 과학기술과 사회의 다양한 쟁점들을 이해하는데 간학문적 접근방식이 어떤 도움이 되는지 밝히는 것이 그 목적이다. 이 글에서는 먼저 과학문화의 간학문적 이해라는 주제에 접근하기 위한 이론적 틀로 80년대 후반이후 과학기술과 대중의 소통을 연구한 "대중의 과학이해(public understanding of science, PUS)"의 접근방식을 중심으로 오늘날 과학지식과 이해에 대한 인식이 어떻게 변천되었는지 분석한다. 그리고 "과학기술과 사회"의 사례 분석은 발표와 토론 수업에서 수강자들이 간학문적 접근방식을 통해 "만들어지고 있는 과학"에 대한 이해를 능동적으로 구성하는 과정을 살펴볼 것이다.

• 응용통계연구
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• 제23권6호
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• pp.1245-1253
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• 2010

There are two main approaches for estimating the discontinuous regression function nonparametrically. One is the direct approach, the other is the indirect approach. The major goal of the two approaches are different. The direct approach focuses on the overall good estimation of the regression function itself, whereas the indirect approach focuses on the good estimation of jump locations. Apparently, the two approaches are quite different in nature. Gijbels et al. (2007) argue that the comparison of two approaches does not make much sense and that it is even difficult to choose an appropriate criterion for comparisons. However, it is obvious that the indirect approach also has the regression curve estimate as the subsidiary result. Therefore it is necessary to verify the appropriateness of the indirect approach as the estimator of the discontinuous regression function itself. Park (2009a) compared the performance of two approaches through a simulation study. In this paper, we consider a more general case and draw some useful conclusions.

• 산업경영시스템학회지
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• 제28권2호
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• pp.69-74
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• 2005

As today's Information Technology (IT) becomes more global and specialized the importance of Information Technology Architecture (ITA). Based on the case study of e-commerce, this paper presents a systematic approach to Information Strategy Planning (ISP) with ITA. To implementation of strategic approach, ITA is developed to establish e-commerce projects. It is believed that the Chief Information Officer (CIO) will be more receptive to results that include ISP and ITA are combined simultaneously.

• Journal of Electrical Engineering and Technology
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• 제2권3호
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• pp.335-341
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• 2007

In this study, we present an approach to parallelizing OPF that is suitable for distributed implementation and is applicable to very large inter-connected power systems. The approach could be used by utilities for optimal economy interchange without disclosing details of their operating costs to competitors. It could also be used to solve several other computational tasks, such as state estimation and power flow, in a distributed manner. The proposed algorithm was demonstrated with several case study systems.