• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09b
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• pp.53-56
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• 2003

유사도 혹은 자료간의 거리 개념은 많은 기계학습 알고리즘에서 사용되고 있는 중요한 측정개념이다 하지만 입력되는 자료의 속성들중 순서가 정의되지 않은 범주형 속성이 포함되어 있는 경우, 자료간의 유사도나 거리 측정에 어려움이 따른다. 비거리 기반의 알고리즘들의 경우-C4.5, CART-거리의 측정없이 작동할 수 있지만, 거리기반의 알고리즘들의 경우 범주형 속성의 거리 정보 결여로 효과적으로 적용될 수 없는 문제점을 갖고 있다. 본 논문에서는 이러한 범주형 자료들간 거리 측정을 자료 집합의 특성을 충분히 고려한 방법을 제안한다. 이를 위해 자료 집합의 선험적인 정보를 필요로 한다. 이런 선험적 정보인 조건부 확률을 기반으로한 거리 측정방법을 제시하고 오류 피드백을 통해서 속성 간 거리 측정을 최적화 하려고 노력한다. 주어진 자료 집합에 대해 서로 다른 두 범주형 값이 목적 속성에 대해서 유사한 분포를 보인다면 이들 값들은 비교적 가까운 거리로 결정한다 이렇게 결정된 거리를 기반으로 학습 단계를 진행하며 이때 발생한 오류들에 대해 피드백 작업을 진행한다. UCI Machine Learning Repository의 자료들을 이용한 실험 결과를 통해 제안한 거리 측정 방법의 우수한 성능을 확인하였다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.9
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• pp.2807-2814
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• 2000

In this paper, we suggest a visual language supporting collaboration with functional attributes. The visual language is a set of visual sentences that consist of object icons and operators. The object icon is a user who participates in collaboration. And, the operator means interactive relations between users according to a point of collaborative time. The functional attributes that support various computing orders provide flexibility of interactive relations on collaboration. Also, using representation both synchronous and asynchronous relations in collaboration, the visual language supports efficiently collaboration than conventional visual languages. And, functional attributes of visual sentences are analyzed using $\lambda$ expressions.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.384-388
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• 2007

WebDAV(Web-based Distributed Authoring and Versioning)는 웹 기반의 분산 저작과 버전관리를 지원하는 표준 명세로서, 인터넷을 통하여 다양한 콘텐츠의 비동기적인 협업을 지원하는 표준 하부구조를 제공한다. 특히 WebDAV의 속성 관리 기능은 자원의 주요 정보를 속성으로 설정하여 관리할 수 있는 기능이다. 이러한 WebDAV의 속성 관리기능을 이용하는 경우 사용자 측에서 자유롭게 속성관리가 가능하여 웹을 기반으로 하는 협업시스템 및 자원공유 시스템을 개발하는데 매우 유용하게 활용될 수 있다. 본 논문에서는 웹을 통한 문서 및 데이터의 관리를 제공하는 응용시스템의 개발을 효율적으로 지원할 수 있도록 한 WebDAV 프로토콜의 확장과 이를 이용하여 기업내에서 생성되는 기술문서 및 도면 문서에 대한 협업을 지원해주는 도면공유시스템을 개발하였다. 확장된 WebDAV의 기능을 이용하는 경우 응용시스템 개발자는 사용자 속성을 정의함으로써 어플리케이션을 간편하게 설계할 수 있게 되며, 기존의 웹 서버에서는 복잡하게 구현해야했던 자원에 대한 잠금관리 및 버전관리 기능도 지원받을 수 있게 된다.

• Environmental and Resource Economics Review
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• v.11 no.4
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• pp.707-722
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• 2002

본 연구는 헤도닉가격기법과 비교정태분석을 사용하여 휘발유가격에 대한 자동차의 연료효율성과 속성의 수요탄력성을 추정한 것이다. 탄력성을 추정하는 데에는 휘발유가격에 대한 장기간의 시계열자료 대신 분석의 기준년도인 2001년의 평균휘발유가격이 사용되었으며, 그리고 2001년에 한국에서 새로 출시된 110개 자동차 모델에 대한 자료가 이용되었다. 분석의 대상이 되는 자동차의 속성으로는 디자인, 실내공간의 넓이, 엔진 배기량, 장착가능한 편의장치, 그리고 연비 등을 포함시켰다. 휘발유가격에 대한 연료효율성의 장기적인 수요탄력성은 0.366으로 추정되었다. 그 외 속성들의 수요탄력성도 비탄력적인 것으로 도출되었다. 따라서, 휘발유가격은 자동차의 속성들과 연료효율성의 소비에 큰 영향을 미치지 않는 것으로 해석할 수 있다.

• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.506-514
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• 2019

This study classified the different types of service attributes being provided through cable VOD services and looked at how the key service attribute types affect the willingness to use paid VOD for each group of paid and non-experienced users. Studies have shown that for a group of non-experienced people, 'content information-oriented attributes' have the greatest impact, and for a group of experienced people, 'convenience-oriented attributes' have the greatest impact. Thus, expanding users of paid VOD services requires setting up step-by-step strategies that match their respective collective characteristics. For a group of non-experienced people, it is necessary to take a direct persuasion strategy through the provision of relevant information and an indirect approach strategy through the expansion of promotion opportunities, and for an experienced group, a strategy to expand functional convenience.

• International Area Studies Review
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• v.14 no.1
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• pp.161-181
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• 2010

This thesis researches how country image and product attributes as well as brand personality influence U.S.A, Chinese and Indian Consumers' Korean automobile brand selection and the strategic implications of this study are as follows. First, Country image and Brand personality have more influence on U.S.A Consumers than Chinese and Indian consumers on selection of Korean automobiles. Second, All three of consumers have more influence by product attributes than other two factors, Chinese consumers has more influences by product attributes than U.S.A and Indian consumers have. Throughout this study it can be acutely recognized that brand personality and product attributes as well as country image influence on selection of automobiles made in Korea although there exist differences among three other consumers. This study suggests Hyundai automobiles in U.S.A, China and India need effort to develop representative brands with a unique personality.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.83-97
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• 2016

Smart car is a vehicle which maximizes convenience, safety, and user experience. The traditional vehicle style will be replaced by a smart car. The objective of this paper is to find essential quality attributes that consumers want. We provide a method to select a best smart car reflecting their preference based on the quality attributes. We derive Kano's quality attributes by an exploratory survey and show an example to implement their decision using the Analytic Hierarchy Process method. As a result, the quality attributes were classified into two groups of attractive quality and indifference quality. The respondents evaluated that the safety of smart cars was more important than the convenience and user experience. However, the smart car was required more functions related to the convenience criteria. These results will provide important implications for smart car design.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.47-61
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• 2001

Lazy loaming methods including CBR have relative advantages in comparison with eager loaming methods such as artificial neural networks and decision trees. However, they are very sensitive to irrelevant features. In other words, when there are irrelevant features, larry learning methods have difficulty in comparing cases. Therefore, their performance can be degraded significantly. To overcome this disadvantage, feature weighting methods for lazy loaming methods have been studied. Most of the existing researches, however, were focused on global feature weighting. In this research, we propose a new local feature weighting method, which we shall call CBDFW. CBDFW stores classification performance of randomly generated feature weight vectors. Then, given a new query case, CBDFW retrieves the successful feature weight vectors and designs a feature weight vector fur the query case. In the test on credit evaluation domain, CBDFW showed better classification accuracy when compared to the results of previous researches.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.338-347
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• 2010

This research aims to provide fundamental data for tourism policy to attract Japanese tourists to Korea. Using Japanese tourists, this study estimated how much they thought destination selection attributes are important and how much these attributes were performed. Also, this study analyzed the ranking among each selection attributes using paired sample T-test. The results show "concentrate here" part is cleanliness and hygiene, employee's service, convenience of transport and scenery. This means that these attributes are very important but they indicate low performance. Concentration among tourism managers should be focused along these attributes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.107-113
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• 2014

The derivation of optimal information from decision table is based on the concept of indiscernibility relation and approximation space in rough set. Because decision table is more likely to be susceptible to the superposition or inconsistency in decision table, the reduction of attributes is a important concept in knowledge representation. While complete subsets of the attribute's domain is considered in algebraic definition, incomplete subsets of the attribute's domain is considered in information-theoretic definition. Therefore there is a marked difference between algebraic and information-theoretic definition. This paper proposes a conditional entropy using rough set as information theoretical measures in order to deduct the optimal information which may contain condition attributes and decision attribute of information system and shows its effectiveness.