• Title/Summary/Keyword: 선험 공간

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Analysis of Gender Identity of On-line Game Character - focused on - (온라인 게임 캐릭터에 나타난 젠더 정체성 분석 - <리그 오브 레전드>를 중심으로)

  • Han, Hye-Won;Kim, Seo-Yeon;Koo, Hye-In
    • Journal of Korea Game Society
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    • v.14 no.5
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    • pp.147-160
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    • 2014
  • The purpose of this study is to analyze figurations of genders in on-line game character in order to find out the ways of building gender identity of on-line game characters. This study selects characters in on-line game to analyze figurations of genders in game systems, images, discourses of game characters by using gender identity theory and examine the reproducing process of players. As the result, the gender identity of on-line game characters which was pre-given by game developers follows the same conventions and stereotypes in real world and also the players follow it in the same manner. On-line game has the potential of text involvement and modification of the game players, and it has immanent possibilities of becoming alternative space of endless improvement and evolvement.

Propositionalized Attribute Taxonomy Guided Naive Bayes Learning Algorithm (명제화된 어트리뷰트 택소노미를 이용하는 나이브 베이스 학습 알고리즘)

  • Kang, Dae-Ki;Cha, Kyung-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2357-2364
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    • 2008
  • In this paper, we consider the problem of exploiting a taxonomy of propositionalized attributes in order to generate compact and robust classifiers. We introduce Propositionalized Attribute Taxonomy guided Naive Bayes Learner (PAT-NBL), an inductive learning algorithm that exploits a taxonomy of propositionalized attributes as prior knowledge to generate compact and accurate classifiers. PAT-NBL uses top-down and bottom-up search to find a locally optimal cut that corresponds to the instance space from propositionalized attribute taxonomy and data. Our experimental results on University of California-Irvine (UCI) repository data set, show that the proposed algorithm can generate a classifier that is sometimes comparably compact and accurate to those produced by standard Naive Bayes learners.

A Study on Trust and Commitment between Buyer and Supplier of Industrial Parts, and Their Usage of Information Technology (산업재 부품 구매자와 공급자의 신뢰와 몰입, 그리고 정보기술의 이용에 관한 연구)

  • Kim, Jong-Hun;Yun, Hui-Taek
    • Proceedings of the Korean DIstribution Association Conference
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    • 2006.08a
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    • pp.47-68
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    • 2006
  • This study aims to determine the association structure of the behavioral relationship variables, such as trust, commitment, cooperation, communication and coercive power, in the relationship between the buyers and suppliers of industrial parts. It also investigates the impact of the use of IT technologies on the relationships quality. Data was collected from 216 part suppliers of machinery, electronics and automobiles located in Incheon. Data supported all of the proposed hypotheses. First, it was confirmed that parts suppliers' trust in buyers leads to the commitment into relationships with buyers. Second, cooperation and communication showed a positive influence on parts suppliers' trust in buyers, and coercive power gave a negative influence on trust. Third, the use of IT technologies like Internet and E-Mail between parts suppliers and buyers was verified to have generally a positive influence on the quality of relationships. At the same time, cooperation and communication were confirmed to have a positive influence on each other, and cooperation and coercive power as well as communication and coercive power were confirmed to have negative influence on each other. This study is a pioneering attempt to examine the relationships between suppliers and buyers of industrial parts, and the influence IT technologies on the relationship quality. Also, the findings will be practically much helpful to find how to reinforce the relationships between parts suppliers and buyers.

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