• International Commerce and Information Review
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• v.16 no.5
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• pp.295-315
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• 2014

This paper attempts to reveal the relationships between vulnerability, FTA barrier, verification factors and origin performance. According to precedent studies, Our study analysed 104 cases from Korean companies which adopted a rules of origin and then developed a structural equation model. As a result of the model test, this empirical study found that vulnerability have a negatively significant influence on origin verification. Second, there was a positive relationship among origin verification and origin performance. Through the results of this study are the first company in order to enhance competitiveness, improve understanding of the rules of origin, must go to deal jointly with partner companies. Second, to establish a process for the origin of the goods to prove this systematic and should be managed in an orderly fashion. Country of origin verification system of corporate -level internal factors and external factors, separated by a study to assess the level of the enterprise for internal and external is determined that you need.

• Computational Structural Engineering
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• v.19 no.4 s.74
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• pp.62-70
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• 2006

• Proceedings of the Korean Magnestics Society Conference
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• 2016.11a
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• pp.48-48
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• 2016

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1998.12a
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• pp.335-343
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• 1998

In Asiacrypt'96, Nyberg obtained an upper bound of the maximum average of differential probability for a generalized Feistel network. In this paper, we prove a counterexample to Nyberg's result is given.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.122-124
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• 2012

최근 지식정보화 시대의 집단지성기반 교육 패러다임 변화는 큰 이슈로 떠오르고 있다. 특히 융합적 학문을 근원으로 창의성 계발과 아이디어를 중요시하고 있으며, 창조적 교육방식을 지향하고 있다. 그러나 다양한 영역에 지식전문가들과 학습자들 간에 지식을 공유하기 위한 플랫폼 공간이 제대로 제공되고 있지 못하며, 단순한 컨텐츠 제공을 목적으로 이러닝 서비스가 일부 제공되고 있는 것이 현실이다. 따라서 본 논문에서는 집단지성을 기반으로 지능형 튜터링 에이전트 시스템 설계를 제안하고, 새로운 에이전트(Agent) 개념을 통해 지식인들과 학습자들 간에 지식을 공유할 수 있을 뿐만 아니라 새로운 지식을 창출하고, 관리 및 유통할 수 있는 구조를 연구하였다. 또한 사용자들로부터 발생하는 데이터와 정보들을 자동 분석하여 지능적으로 학습상황에 대처할 수 있도록 설계하였으며, 튜터(Tutor)와 튜티(Tutee)간에 협력적인 학습 생태계가 형성될 수 있도록 하였다. 따라서 본 연구의 결과를 기반으로 미래 스마트 학습 플랫폼 발전에 많은 도움이 되길 기대한다.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.25-43
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• 2009

The purpose of this study is to suggest how the classic thesaurus structure of terms and links can be mined and updated from Wikipedia encyclopedia, which is the best practice of collective intelligence. In a comparison with ASIS&T thesaurus, it was found that Wikipedia contains a substantial coverage of domain-specific concepts and semantic relations. Furthermore, it was resulted that the structural characteristics of Wikipedia, such as redirects, categories, and mutual links are suitable to extract semantic relationships of thesaurus. It is needed to apply to update various thesauri, including multilingual thesaurus, in order to generalize the results of this research.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.414-423
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• 2009

Folksonomy, which is collaborative classification created by freely selected keywords, is one of the driving factors of the web 2.0. Folksonomy has advantage of being built at low cost while its weakness is lack of hierarchical or systematic structure in comparison with taxonomy. If we can build classifier that is able to classify web resources from collective intelligence in taxonomy, we can build taxonomy at low cost. In this paper, targeting folksonomy in Slashdot.org, we define a general model and show that collective intelligence, which can build classifier, really exists in folksonomy using a stability value. We suggest method that builds SVM classifier using stability that is result from this collective intelligence. The experiment shows that our proposed method managed to build taxonomy from folksonomy with high accuracy.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2000.11a
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• pp.45-45
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• 2000

• Proceedings of the Korean Magnestics Society Conference
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• 2007.12a
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• pp.230-231
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• 2007

• Proceedings of the Korean Magnestics Society Conference
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• 2011.12a
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• pp.52-53
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• 2011