• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.101-104
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• 2007

There is no overall understanding about the road marking situation in Korean national highway nowadays. In addition road marking increases risk in traffic accidents especially while it's raining at night because of diffused reflection. So administrator has a lot of problems to maintain and make a decision about the road marking. In this paper, literature review and field investigation about the road marking are carried out from the viewpoint of road safe and the propriety in retroreflective performance of the road marking is grasped. Also, improvement methods about retroreflective performance of the road marking are proposed on the basis of the result in field investigation.

• 전자공학회지
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• 제3권3호
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• pp.38-45
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• 1976

• 한국산학기술학회논문지
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• 제21권11호
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• pp.9-18
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• 2020

최근 항만시설물의 효율적인 관리·운영을 위하여 전 생애주기에 걸친 통합관리 플랫폼 및 성능기반의 유지관리 의사결정체계 개발에 관한 연구가 활발히 진행되고 있다. 본 연구의 목적은 시설물을 성능의 관점에서 관리·운영하여 시설물의 장수명화와 효율적인 예산집행을 추구하는데 있다. 이를 위해서는 통합 플랫폼과 의사결정체계에서 분석할 충분한 양의 기초 데이터의 확보가 필수적이다. 이에 본 연구는 통합플랫폼 및 의사결정체계 개발의 기초데이터로 필요한 항만시설물 설계 및 유지관리 정보를 확보하기 위하여 현재 해양수산부에서 운영 중인 항만시설물 유지관리시스템(POMS; Port Facility Management System)과의 데이터 연계방안을 도출하는데 목적이 있다. 이를 위하여 POMS의 데이터베이스를 분석하였으며 이 중 통합플랫폼과 의사결정체계를 운영하는데 필요한 데이터 항목을 선정하고 이를 관계 전문가의 요구사항과 함께 종합적으로 검토하여 3개 분야의 연계대상을 선정하였다. 연계대상 데이터는 크게 항만과 항만시설물 데이터, 유지관리 데이터, 사용자 데이터로 분류할 수 있다. 각 세부 연계 데이터별로 API 인터페이스 설계서를 작성하였고, POMS의 연계 데이터와 통합플랫폼의 데이터 연계 프레임워크를 정의하였다. POMS와 통합 플랫폼의 데이터 연계는 플랫폼 개발 이후, 운영단계에서 실효성 있는 데이터를 실시간으로 수시 제공받아 통합 플랫폼 운영의 효율성을 향상시킬 것으로 기대된다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1058-1061
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• 1993

Fuzzy set theory has been extensively researched in various fields of engineering. In nuclear science, a significant influence of fuzzy sets can be noticed. However, applications of fuzzy set theory to nuclear engineering is novel. In this paper, we start with a basic statement of the decision-making process based on fuzzy set theory, and then apply it to nuclear science with some practical applications (a fuzzy decision making in an accidental release to the atmosphere as well as in a problem of land suitability classification). We believe that the use of fuzzy set theory in nuclear science has potential advantages.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.45-49
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• 2003

GDS (Grating automatic Drawing System), which is automatic design system of metal products called grating, is a system that produces various detailed drawings on the basis of information within a Plan Drawing that represents layout of the gratings such as locations, shapes, directions, etc However, automatically produced drawings by GDS do not fully satisfy the standard of the general dimension marking method used among the layout designers. The lack of this standard quality mainly results from the fact that overlapping among dimension markings appears frequently. To solve the overlapping problem we applied the rule-based expert system. The rules for the expert system are designed based on the expertise of skilled layout designers within the grating production lines.

• 디지털융복합연구
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• 제6권3호
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• pp.121-129
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• 2008

This paper aimed to exam the influence factor of purchasing decision making of industrial buyer and analyzed their effects on success. From the previous studies, we extracted influence factor which are buying center, character of Industrial goods provider. The result showed the difference in the purchasing decision-making process in accordance with the type of buying task(Hypothesis 1). And a test was made the difference in the mode of purchase decision-making(Hypothesis 2). A test was made the difference in supplier's evaluative criterion in accordance with the type of buying task(Hypothesis 3).

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.142-148
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• 2004

In this paper, we propose the color fuzzy decision algorithm to face segmentation in a color image. Our algorithm can segment without the user's interaction by fuzzy decision marking. And it removes small parts such as a noise using wavelet morphology in the image obtained by applying the fuzzy decision algorithm. Also, it merges and chooses the face region in each quantization image through rough sets. This video object division algorithm is shown to be superior to a conventional algorithm.

• 제어로봇시스템학회논문지
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• 제16권9호
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• pp.913-917
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• 2010

To inspect the defects of printed markings on the surface of IC package, the OCV (Optical Character Verification) method based on NCC (Normalized Correlation Coefficient) pattern matching is widely used. In order to detect the micro pattern defects appearing on the small portion of the markings, a Partitioned NCC pattern matching method was proposed to overcome the limitation of the NCC pattern matching. In this method, the reference pattern is first partitioned into several blocks and the NCC values are computed and are combined in these small partitioned blocks, rather than just using the NCC value for the whole reference pattern. In this paper, we proposed a method to decide the proper number of partition blocks and a method to inspect and combine the NCC values of each partitioned block to identify the defective markings.

• 산업경영시스템학회지
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• 제18권34호
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• pp.1-8
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• 1995

The practical problem of multi-attribute decision making are formed by the uncertain attribute that the attribute by the alternatives cannot be defined or judged crisphy but only as vague. In this case the final judgements are also represented by vague which have to be ordered to determine the optimal alternative. The problem is more complex if the evaluations of alternatives according to each attribute are expresed vague. This paper described the results of a study done to determine how well multi-attribute decision marking perform in helping a decision maker arrive at a preferred solution to a multi-attribute problem with vague attribute. Particular area of research has concentrated on the issue of combining quantitative and qualitative data supplied by estimation. Futher study considers some method for suitable evaluation of qualitative data.

• 한국정밀공학회지
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• 제12권6호
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• pp.37-44
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• 1995

Grinding is used for machining high precision parts with high additional value. However, the grinding operation needs high skill and long experience of an operator because of a lack of the scientific knowledge and engineering principles. Also, the wheel and grinding conditions affect grinding results. For these reasons, it is difficult to construct computer integrated manufacturing system(CIMA). Therefore, it is necessary for Expert System to be informed of qualitative knowledge of grinding expert's skills and experiences. In this research, the Grinding Expert System is constructed by Fuzzy Decision Making Algorithm. Using this system, unskilled workers will be able to use the knowledge and experience of an expert.