• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.10a
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• pp.281-282
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• 2000

본고는 첫째 어업정책 결정에 초점을 맞추어 공익과 특정이익 사이의 상쇄현상을 보이기 위해 구체적 예를 제시하고, 대안적 집단선택 룰(rules)을 처방적 관점에서 검토하고자 한다. 둘째, 정치선호 가중치의 범위는 헌법이 정하는 집단선택 룰에 의해 정해지며(Rausser and Freebain 1974) 이론적 분석틀의 주요 논점을 설명하기 위해 공유재(commons), 즉 어업자원의 비극을 예시하고자 한다. (중략)

• Journal of Distribution Science
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• v.4 no.1
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• pp.103-120
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• 2006

This study is composed of analyses about whether intensifying the attribute level of alternatives presented to consumers makes the effect of intensifying attributes and there is any significant difference among effects of the intensified attributes. For this, the most favorite alternative is extracted from each group of computers and jeans through conjoint analysis, which is used as a standard alternative during the process of experimentation. In conclusion, this research suggests that in terms of business, by intensifying the latter attribute of products rather than the early attribute, an enterprise acquire distinct and competitive superiority over similar competing products (esp. functional products), and theoretically, by expanding and analyzing decision models it can predict consumers' behaviors more correctly.

• KDI Journal of Economic Policy
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• v.34 no.2
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• pp.1-15
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• 2012

We develop an identity choice model within the context of a stereotyping-cum-signaling framework. The model allows us to explore implications of the fact that, when individuals can choose identity, then the distribution of abilities within distinct identity groups becomes endogenous. This is significant because, when identity is exogenous and if the ability distributions within groups are the same, then inequality of group reputations in equilibrium can only arise if there is a positive feedback between group reputation and individual human capital investment activities (Arrow, 1973; Coate and Loury, 1993). Here we show that when group membership is endogenous then the logic of individuals' identity choices leads there to be a positive selection of higher ability individuals into the group with a better reputation. This happens because those for whom human-capital-investment is less costly are also those who stand to gain more from joining the favored group. As a result, ability distributions within distinct groups can endogenously diverge, reinforcing incentive-feedbacks. We develop the theoretical framework that can examine the positive selection and the endogenous group formation. The model implies that inequality deriving from stereotyping of endogenously constructed social groups is at least as great as the inequality that can emerge between exogenously given groups.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.109-117
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• 2008

This research analyzed which average comparisons and differences between groups' view motive and selection for information sources, product properties with theater animation spectator. Based on view frequency, each of groups' organization were classified to heavy, occasional, and thinly viewers. As average comparison analysis result, firstly, view motive appeared in order to "want to see animation", "to spend time and leisure activity", "to enjoy fun activity", and "because of others canvassing or recommendation", etc. Secondly, view selection for information source appeared in order to "rumor circumstance or reputation", "theater or TV previews", "internet evaluation and grade", etc. At last, view selection for practical property appeared in order to "story", "character", "special effects", "background music", "background art", "director/directing", "manufacturer/nation", and "dubbing of artist". As difference between group result, view motive and selection for product properties appeared significant differences between each of group. To the contrary, view selection for information sources did not appeared significant differences between each of group.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.157-169
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• 2021

YouTube has rapidly grown as a news media outlet. As political content without fact-checking is actively provided and YouTube algorithms are used for content recommendations, users are selectively exposed to certain political ideologies, which could escalate conflicts among political groups. In particular, the stronger the identification of in-group, the greater the antipathy toward outgroup, and the more exposed the content to the parties that support or oppose it, the stronger the identification or the antipathy can be. This study investigated the relationship between selective exposure and political attitude polarization in the context of political video on YouTube. Based on social identity theory, this study also found that political identification mediates the relationship between selective exposure and political attitude polarization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2751-2756
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• 2012

Selection of training set influences the classification accuracy in supervised classification using satellite imagery. Generally, if pure pixels which character of training set is clear were selected, whole accuracy is high while if mixed pixels were selected, accuracy is decreased because of low-resolution imagery or unclear distinguishment. However, it is too difficult to choose the pure pixels as training set actually. Accordingly, this study should be suggested the suitable classification method in case of mixed pixels choice. To achieve this, a few pure pixels were chosen as training set and classification accuracy was calculated which was compared with classification result using an equal number of mixed pixels. As a result, accuracy of SVM was the highest among the classification method using mixed pixels and it was a relatively small difference with the result of classification using pure pixels. Therefore, imagery classification using SVM is most suitable in the mixed area of construction and green because it is high possibility to choose mixed pixels as training set.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.49-51
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• 2006

분자 wDNF기계를 통해 해 집단을 병렬적으로 탐색하여 유망한 텀들을 선택한 후 그를 구성하는 변수들의 분포를 평가, 확률 모델을 확립하고 그로부터 다음 세대의 해 집단을 구성함으로써 진화 알고리즘의 확장인 EDA을 DNA컴퓨팅으로 모델링한다. 또한 희박한(sparse) 해 집단에서 간략한 (parsimonious) wDNF모델을 항께 찾으므로 단순히 해 집단의 분포만을 진화시켜 나가는 것이 아니라 모델의 구조도 같이 최적화 시켜 나가는 방안을 제시한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.286-287
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• 2008

마이크로어레이 데이터는 여러 샘플들의 대량의 유전자들에 대한 발현정보를 표현하며, 이에 대한 분석을 통해서 생명현상에 대한 이해와 분석이 이루어지고 있다. 생명현상이 유전자의 발현에 많은 영향을 받는 것이 알려져있기 때문에 실험 샘플 집단내에서 또는 실험 샘플 집단간에서 발현 특성이 대조적으로 나타나는 유전자의 집단을 추출하는 것이 유용한 경우가 있다. 이 논문에서 관심영역으로 선택된 영역에 대해서 대조적인 패턴을 갖는 집단을 알고리즘적으로 선택하는 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.766-768
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• 2003

인간 및 다른 생물들의 DNA 서열이 밝혀짐에 따라 DNA 서열 정보를 이용할 수 있는 계산적 처리방식에 대한 요구가 늘어나고 있다. 본 논문에서는 DNA의 패턴을 분류할 수 있는 면역계 부정 선택에 기반한 알고리즘을 제안한다. 부정 선택은 면역세포 생성시 자신을 인식하지 않는 항원 인식부를 생성하기 위한 과정이다. 이 항원 인식부를 통해 자기와 비자기를 구별한다. 이것을 n개의 자기 또는 비자기 집단으로 확장하고 n개의 항원 집단을 구성하면 n개의 패턴 분류가 가능하다. 본 논문에서는 부정 선택에 기반한 DNA 염기 레벨에서의 패턴 분류방법과 아미노산 레벨에서의 패턴분류 방법을 제안한다.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.721-732
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• 2018

Latent class analysis (LCA) is an important tool to explore unseen latent groups in multivariate categorical data. In practice, it is important to select a suitable set of variables because the inclusion of too many variables in the model makes the model complicated and reduces the accuracy of the parameter estimates. Dean and Raftery (Annals of the Institute of Statistical Mathematics, 62, 11-35, 2010) proposed a headlong search algorithm based on Bayesian information criteria values to choose meaningful variables for LCA. In this paper, we propose a new variable selection procedure for LCA by utilizing posterior probabilities obtained from each fitted model. We propose a new statistic to measure the adequacy of LCA and develop a variable selection procedure. The effectiveness of the proposed method is also presented through some numerical studies.