• Environmental and Resource Economics Review
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• v.7 no.2
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• pp.111-135
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• 1998

전력산업은 환경문제로 인해 사업수행이 점차 어려워지고 있으며, 전원개발계획 수립을 위한 의사결정 단계에서 환경외부성을 고려하는 문제가 중요하게 대두되고 있다. 본 연구는 전력계획수립의 초기단계에서 환경문제를 통합하기 위한 노력의 일환으로, 다속성 효용이론(Multi-Attribute Utility Theory: MAUT)을 적용하여 환경영향의 다속성 지수를 구성하는 접근방법을 제시한다. 먼저 연구배경과 제안된 방법론을 개괄적으로 살펴본 후, 기술적인 판단과 가치 판단에 근거한 지수구성에 요구되는 제반 가정 및 단계를 소개한다. 다음으로, 우리 나라의 전력산업에 대한 실증분석을 통해 다속성 지수를 도출한다. 마지막으로 환경지수와 화폐 간의 트레이드-오프(trade-off) 관계를 분석하여 환경의 사회적 가치(societal value)를 도출하고 연구결과의 유용성에 대해 설명한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.243-251
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• 2000

In general, Rough Set theory is used for classification, inference, and decision analysis of incomplete data by using approximation space concepts in information system. Information system can include quantitative attribute values which have interval characteristics, or incomplete data such as multiple or unknown(missing) data. These incomplete data cause the inconsistency in information system and decrease the classification ability in system using Rough Sets. In this paper, we present various types of incomplete data which may occur in information system and propose INcomplete information Processing System(INiPS) which converts incomplete information system into complete information system in using Rough Sets.

• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.147-157
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• 1994

The subjects were 574 eleven-and fourteen-year-olds enrolled in elementary and junior high school in seoul. To measure subjects' depression and attributional style the childrdn's Depression Inventory(CDI) and the Childrens' Attributional Style Questionnaire(CASQ) were used. Adolescents' depression score was higher than that of children's There was no sex difference in Children's and adolescents' depression. In the children's and adolescents' depression there was significant difference according to maternal educational level. That is the lower maternal educational level, the higher children's and adolescents' depression score. As predicted by the reformulated learned helplessness theory Children and adolescents with high levels of depression score were more likely to attribute bad events to internal stable global causes and good events to external unstable specific causes. Subject who were moore depressed had significantly lower academic achievement scores than subject who were less depressed.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.421-436
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• 2006

Huang proposed a grey-based nearest neighbor approach to predict accurately missing attribute value in 2004. Our study proposes which way to decide the number of nearest neighbors using not only the deng's grey relational grade but also the wen's grey relational grade. Besides, our study uses not an arithmetic(unweighted) mean but a weighted one. Also, GRG is used by a weighted value when we impute missing values. There are four different methods - DU, DW, WU, WW. The performance of WW(Wen's GRG & weighted mean) method is the best of any other methods. It had been proven by Huang that his method was much better than mean imputation method and multiple imputation method. The performance of our study is far superior to that of Huang.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.7 no.6
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• pp.42-48
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• 1998

This paper is concerned with the heat flux distribution and energy partition for creep-feed grinding. From measurements of transient grinding temperatures in the workpiece sub-surface using an embedded thermocouple, the overall energy partition to the workpiece was estimated from moving heat source theory for a triangular heat flux distribution as 3.0% for down grinding and 4.5% for up grinding. The higher energy partition for up grinding can be attribute to the need to satisfy thermal compatibility at the grinding zone. The influence of cooling outside the grinding zone can be analytically taken into account by specifying convective heat transfer coefficients on the workpiece surface ha ahead of the heat source (grinding zone) and hb behind the heat source. The smaller energy partition together with slightly lower grinding power favors down grinding over up grinding.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.23-28
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• 2005

The high-dimensionality and insufficiency of gene expression profiles and proteomic profiles makes feature selection become a critical step in efficiently building accurate models for cancer problems based on such data sets. In this paper, we use a method, called Discrete Function Learning algorithm, to find discriminatory feature vectors based on information theory. The target feature vectors contain all or most information (in terms of entropy) of the class attribute. Two data sets are selected to validate our approach, one leukemia subtype gene expression data set and one ovarian cancer proteomic data set. The experimental results show that the our method generalizes well when applied to these insufficient and high-dimensional data sets. Furthermore, the obtained classifiers are highly understandable and accurate.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.454-460
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• 2007

The purpose of this study was to identify convention service attribute that affecting participants' satisfaction and intention-to behavior. theory and existing literature related convention service are reviewed. Based on the literature review, the measurement scale was developed and used for collecting the data. A total of 171 useful sample was collected and utilized for the study. factor analysis, regression analysis, cluster analysis, and ANOVA were operated in SPSS. Three convention service factors were identified. It was found that these three factors affected participants' convention satisfaction and intention-to-behavior. Theoretical and managerial implications were discussed.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.713-716
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• 2005

In this paper, in order to identify and recognize attack patterns, we propose a Bayesian classification using frequent patterns. In theory, Bayesian classifiers guarantee the minimum error rate compared to all other classifiers. However, in practice this is not always the case owing to inaccuracies in the unrealistic assumption{ class conditional independence) made for its use. Our method addresses the problem of attribute dependence by discovering frequent patterns. It generates frequent patterns using an efficient FP-growth approach. Since the volume of patterns produced can be large, we propose a pruning technique for selection only interesting patterns. Also, this method estimates the probability of a new case using different product approximations, where each product approximation assumes different independence of the attributes. Our experiments show that the proposed classifier achieves higher accuracy and is more efficient than other classifiers.

• Journal of architectural history
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• v.18 no.4
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• pp.25-41
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• 2009

Louis I. Kahn is cleary one of 20th century great architects. The character of his philosophy of architecture can be condensed as simple words; Architectural Essence, because the very nature of his work based on historicity is so fundamental. Some contemporary architects and architectural critics regard it as a symbol of Post-Modern Architecture era expressing relative multiplicity or an expression of Heideggerian existentialism, but others do as the attribute of fundamentalist like absolute Plato's Idea. Comparing the former, studies of the latter theme have been executed superficially and somewhat biasedly for last decades. In the context, this paper attempt to reanalyze Kahn's idea of 'Architectural Essence' with the deep view of Platonist focused on the concept of binary opposition and causality.

• The Journal of Industrial Distribution & Business
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• v.5 no.1
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• pp.17-25
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• 2014

Purpose - Nowadays, the innovative design concept is being implemented in product design. In order to satisfy market trends and the demand for quality, designers should employ customer satisfaction questionnaires and analyze them with various experimental processes. Research design, data, and methodology - These methodologies would help designers have a better understanding of their customers and judge the market size and clustering validity, by diverse product strategies, for dealing with the rapid change prevailing in the market today. Results - By considering the innovative design with regard to telephones as an experimental case, the study investigates and demonstrates how the product can benefit from market-oriented and customized management concepts, when creative design ability is utilized for developing the product. Conclusions - Along with the benefit of having an innovative product value, the product can stimulate progress inthe development of the enterprise management, which has emerged as the main issue in the area of social and economic development in every developed country.