• 산업공학
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• 제13권2호
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• pp.234-245
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• 2000

In this paper, the conceptual framework of IBS(Intelligent Building Systems) is redefined, and we propose two ANP(Analytic Network Process) models for ranking IBS. Traditional models have ranked IBS according to technical features or the number of elements in IBS. But, we consider relative functional importance among IBS elements for efficient building operation. According to the structure of interactive-relationship among IBS elements, we present two types of model. The one is Model A that is composed of both hierarchical and network structures. It has $12{\times}12$ supermatrix consists of interdependent relationship between 6 benefit elements(Productivity, Saving, Safety, Convenience, Pleasantness, Environment Affinity) and 6 IBS elements(Building Operation, Security, Safety, Telecommunication(TC), Office Automation(OA), other elements). Each of 6 IBS elements has subelements in hierarchical structure. The other is Model B that has $25{\times}25$ supermatrix consists of interdependent relationship between 6 benefit elements and 19 IBS sub elements. Merits and demerits of each model are discussed in detail.

• 디지털융복합연구
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• 제14권10호
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• pp.463-472
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• 2016

이 연구는 생활체육 참여자의 성격 5요인과 참여만족 및 운동지속의사와의 관계를 규명하고자 수행되었다. 연구대상은 여가 생활을 목적으로 하는 생활체육참여자를 대상으로 하였으며, 자료 수집은 편의표본추출법을 사용하였으며 250부의 자료 중 최종분석에는 233부가 사용되었다. 수집된 자료는 SPSS 21.0을 이용하여 빈도분석, 상관관계 분석, 다중회귀분석, 위계적 회귀분석을 사용하여 분석하였다. 이와 같은 과정을 걸쳐 얻은 연구결과는 다음과 같다. 첫째, 성격 5요인이 참여만족에 미치는 영향은 외향성이 심리적, 휴식적, 사회적, 신체적 만족에 정적인 영향을 미쳤다. 개방성은 휴식적 만족, 친화성은 사회적, 신체적 만족에 정적인 영향을 미쳤으며, 정서불안정성은 환경적 만족에 부적인 영향을 미쳤다. 둘째, 운동지속의사에 영향을 미치는 성격 5요인과 참여만족의 위계적 분석에서는 외향성, 친화성의 순으로 영향을 미쳤으며, 참여만족은 사회적, 휴식적, 신체적 만족 순으로 운동지속의사에 각각 영향을 미쳤다.

• 한국언어정보학회지:언어와정보
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• 제12권1호
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• pp.27-65
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• 2008

This paper presents a set of methodologies for aligning hypernym-hyponym noun pairs between Korean and English, based on the EuroWordNet approach. Following the methods conducted in EuroWordNet, our approach makes extensive use of WordNet in four steps of the building process: 1) Monolingual dictionaries have been used to extract proper hypernym-hyponym noun pairs, 2) bilingual dictionary has converted the extracted pairs, 3) Word Net has been used as a backbone of alignment criteria, and 4) WordNet has been used to select the most similar pair among the candidates. The importance of this study lies not only on enriching semantic links between two languages, but also on integrating lexical resources based on a language specific and dependent structure. Our approaches are aimed at building an accurate and detailed lexical resource with proper measures rather than at fast development of generic one using NLP technique.