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- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
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RISS 인기검색어
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- 저자 : 홍원의 ( Woneui Hong ) (검색결과 2 건)
- 무료
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홍원의(Woneui Hong),김의현(Uihyun Kim),조신희(Sinhee Cho),김산성(Sansung Kim),이문용(Mun Yong Yi),신동훈(Donghoon Shin) 한국지능정보시스템학회 2014 지능정보연구 Vol.20 No.3
As the demand of nuclear power plant equipment is continuously growing worldwide, the importance of handling nuclear strategic materials is also increasing. While the number of cases submitted for the exports of nuclear-power commodity and technology is dramatically increasing, preadjudication (or prescreening to be simple) of strategic materials has been done so far by experts of a long-time experience and extensive field knowledge. However, there is severe shortage of experts in this domain, not to mention that it takes a long time to develop an expert. Because human experts must manually evaluate all the documents submitted for export permission, the current practice of nuclear material export is neither time-efficient nor cost-effective. Toward alleviating the problem of relying on costly human experts only, our research proposes a new system designed to help field experts make their decisions more effectively and efficiently. The proposed system is built upon case-based reasoning, which in essence extracts key features from the existing cases, compares the features with the features of a new case, and derives a solution for the new case by referencing similar cases and their solutions. Our research proposes a framework of case-based reasoning system, designs a case-based reasoning system for the control of nuclear material exports, and evaluates the performance of alternative keyword extraction methods (full automatic, full manual, and semi-automatic). A keyword extraction method is an essential component of the case-based reasoning system as it is used to extract key features of the cases. The full automatic method was conducted using TF-IDF, which is a widely used de facto standard method for representative keyword extraction in text mining. TF (Term Frequency) is based on the frequency count of the term within a document, showing how important the term is within a document while IDF (Inverted Document Frequency) is based on the infrequency of the term within a document set, showing how uniquely the term represents the document. The results show that the semi-automatic approach, which is based on the collaboration of machine and human, is the most effective solution regardless of whether the human is a field expert or a student who majors in nuclear engineering. Moreover, we propose a new approach of computing nuclear document similarity along with a new framework of document analysis. The proposed algorithm of nuclear document similarity considers both documentto-document similarity (α) and document-to-nuclear system similarity (β), in order to derive the final score (γ) for the decision of whether the presented case is of strategic material or not. The final score (γ) represents a document similarity between the past cases and the new case. The score is induced by not only exploiting conventional TF-IDF, but utilizing a nuclear system similarity score, which takes the context of nuclear system domain into account. Finally, the system retrieves top-3 documents stored in the case base that are considered as the most similar cases with regard to the new case, and provides them with the degree of credibility. With this final score and the credibility score, it becomes easier for a user to see which documents in the case base are more worthy of looking up so that the user can make a proper decision with relatively lower cost. The evaluation of the system has been conducted by developing a prototype and testing with field data. The system workflows and outcomes have been verified by the field experts. This research is expected to contribute the growth of knowledge service industry by proposing a new system that can effectively reduce the burden of relying on costly human experts for the export control of nuclear materials and that can be considered as a meaningful example of knowledge service application.
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Word Spell: 외국어 학습자를 위한 단어 학습 방안, 연상 및 연음 효과를 중심으로
문성원 ( Sung Won Moon ),홍원의 ( Woneui Hong ),권가진 ( Gahgene Gweon ) 한국정보처리학회 2014 한국정보처리학회 학술대회논문집 Vol.21 No.1
본 논문 에서는 영어를 외국어로써 학습하는 한국인 학습자를 대상으로 한 새로운 영어 단어 학습 기법을 소개하고! 그 효용을 검증한다” 외국어 학습자에게는 외국어 단어를 외우는 절차가 중요한 이슈 이기 때문에 영어단어 암기 효율을 높이기 위한 방법이 다수 제시되어 왔는데! 본 실험에서는 기존에 효과를 검증받은 방식과의 성능비교를 통한 검증을 시도한다” 실험 결과로부터 학습자가 새로 암기한 단어에 대하여 시간 지연에 따른 망각 정도가 기존 방식에서 제시하는 방법을 따랐을 때보다 적음을 보였다”
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