• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.949-952
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• 2002

A regression model is used in predicting the response variable given predictor variables However, in case of large number of predictor variables, a regression model has some problems such as multicollinearity, interpretation of the functional relationship between the response and predictors and prediction accuracy. A clustering method and stepwise regression could be used to reduce the amount of data by grouping predictors having similar properties and by selecting the subset of predictors. respectively. This paper proposes a prediction method combining clustering method and stepwise regression. The proposed method fits a global model and local models and predicts responses given new observations by using both models. The paper also compares the performance of proposed method with stepwise regression via a real data of ample obtained in a steel process.

• 전기학회논문지
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• 제67권12호
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• pp.1699-1704
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• 2018

In this paper, proposed a method to improve of control characteristics for power facility using the adaptive sizing of fuzzy inference method. In the use of the controller based the fuzzy logic, a basic mamdani fuzzy controller is applied. However, when the maximum value and the minimum value have to taken, the fuzzy controller can not take a normal value because of formalized grouping form. In this paper, we combine the conventional methods with single valued sets to compensate for the disadvantage caused by the mamdani method control. Simulation results show that the proposed method has better overshoot and steady state arrival time than the conventional control method.

• 정보처리학회논문지D
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• 제10D권3호
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• pp.375-386
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• 2003

무선 네트워크의 폭발적인 증가와 이동 통신 기기의 발전은 기존에 사용되어지던 유선 일변도의 사용방식을 무선 환경으로 급속히 확장, 이전시키고 있다. 무선 환경의 발전에 따라 모바일 데이터베이스 사용의 필요성은 급격히 증가하고 있으며 이에 따른 많은 문제점도 발생하고 있다. 특히 현재의 모바일 데이터베이스는 동기화를 위하여 하나의 동기화 서버가 다수의 모바일 데이터베이스를 관리하는 중앙 집중형 방식으로 이는 전체 시스템의 성능을 저하하는 주요 요소이다 또한 고장허용에 대한 해결책은 전혀 고려되어 있지 않다. 이러한 문제점을 해결하기 위해서 본 논문에서는 이동 에이전트를 이용한 모바일 데이터베이스 관리 시스템을 제안한다. 이 시스템은 모바일 데이터베이스의 그룹핑을 통하여 전체 시스템의 성능을 높이며 고장허용 관리 기능의 지원이 가능하다.

• 한국산업정보학회논문지
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• 제16권5호
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• pp.9-19
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• 2011

In many instances a concise form of logic is often required for building today's complex systems. The method described in this paper can be used for a wide range of industrial applications that requires Boolean type of logic minimization. Unlike some of the previous logic minimization methods, the proposed method can be used to better gain insights into the logic minimization process. Based on the decimal valued matrix, the method described here can be used to find an exact minimized solution for a given Boolean function. It is a visual based method that primarily relies on grouping the cell values within the matrix. At the same time, the method is systematic to the extent that it can also be computerized. Constructing the matrix to visualize a logic minimization problem should be relatively easy for the most part, particularly if the computer-generated graphs are accompanied.

• 품질경영학회지
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• 제31권4호
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• pp.150-163
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• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• 산업경영시스템학회지
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• 제24권66호
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• pp.91-98
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• 2001

In this study, a heuristic for surface mounters is developed to find an efficient sequence on PCB and rack assignment by component grouping. As setting up 4 reels in a group, the distance of rack moving can be minimized. And then, a generalized model for N reels in a group is developed. It is found that the performance of this heuristic is better than other heuristics found in the literature. Throughout the simulation study, the suggested heuristic is performed about 8.2 ∼ 12% better than other heuristics.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1565-1568
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• 1997

In this paper, a fuzzy based machine-cell formation algorithm for cellular manufacturing is presented. The fuzzy lovic is employed to express the degree of appropriateness when alternative machnies are specified to process a part shape. For machine grouping, the similarity coefficient based approach is used. The algorithm produces efficient machine cells and part families which maximize the similarity values.

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.557-566
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• 2005

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering Is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2000년도 추계학술대회 및 정기총회
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• pp.141-147
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• 2000

For miniaturization of electronic parts and higher productivity, part arrangement job of PCB(printed Circuit Board) has been replaced with complete automated facilities, and contribution which is concerned about this will be expanded continuously. Such part arrangement job of PCB could have lots of influences to entire productivity In this paper, effective grouping method of parts is suggested for the effective insertion path job of PCB concerning the constraints to the size of parts.

• 산업공학
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• 제10권2호
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• pp.51-56
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• 1997

This paper concerns with the problem of mixed model assembly sequencing using neural net. In recent years, because of two characteristics of it, massive parallelism and learning capability, neural nets have emerged to solve the problems for which more conventional computational approaches have proven ineffective. This paper proposes a method using neural net that can consider line balancing and grouping problems simultaneously. In order to solve the mixed model assembly sequencing of the motor industry, this paper uses the modified ART1 algorithm.