• 한국지능시스템학회논문지
• /
• 제14권6호
• /
• pp.745-751
• /
• 2004

순수한 부울 검색 시스템은 문서와 질의 사이의 유사 도를 나타내는 문서 값을 계산할 수 없기 때문에 검색된 문서들을 질의를 만족하는 정보에 따라 정렬할 수 없다. 부울 검색 시스템의 이러한 단점을 보완하는 방법으로 MMM 모델, Paice 모델 P-norm 모델이 개발되었다. 이러한 방법들은 부울 연산자를 유연하게 연산하는 공통된 특성을 지니고 있다. 본 논문에서는 높은 검색 효과를 제공하는 지역적 문맥 분석 피드백(Local Context Analysis Feedback)을 이용한 웹 정보 검색 모델을 이용한다. 지역적 문맥 분석 피드백 모델의 연산 특성이 MMM(Max and Min Model), Paice, p-norm 모델보다 우수함을 설명하고, 또한 성능 비교를 통하여 이를 입증한다.

• 한국지능시스템학회논문지
• /
• 제11권7호
• /
• pp.659-665
• /
• 2001

Relevance feedback is the most popular query reformulation strategy in a relevance feedback cycle, the user is presented with a list of the retrieved documents and, after examining them, marks those which are relevant. In practice, only the top 10(or 20) ranked documents need to be examined. The main idea consists of selecting important terms, or expressions, attached to the documents that have been identified as relevant by the user, and of enhancing the importance of these terms in a new query formulation. The expected effect is that the new query will be moved towards the relevant documents and away from the non-relevant ones. Local analysis techniques are interesting because they take advantage of the local context provided with the query. In this regard, they seem more appropriate than global analysis techniques. In a local strategy, the documents retrieved for a given query q are examined at query time to determine terms for query expansion. This is similar to a relevance feedback cycle but might be done without assistance from the user.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제2권1호
• /
• pp.9-14
• /
• 2002

Boolean retrieval is simple and elegant. However, since there is no provision for term weighting, no ranking of the answer set is generated. As a result, the size of the output might be too large or too small. Relevance feedback is the most popular query reformulation strategy. in a relevance feedback cycle, the user is presented with a list of the retrieved documents and, after examining them, marks those which are relevant. In practice, only the top 10(or 20) ranked documents need to be examined. The main idea consists of selecting important terms, or expressions, attached to the documents that have been identified as relevant by the user, and of enhancing the importance of these terms in a new query formulation. The expected effect is that the new query will be moved towards the relevant documents and away from the non-relevant ones. Local analysis techniques are interesting because they take advantage of the local context provided with the query. In this regard, they seem more appropriate than global analysis techniques. In a local strategy, the documents retrieved for a given query q are examined at query time to determine terms for query expansion. This is similar to a relevance feedback cycle but might be done without assistance from the user.

• Investigative Magnetic Resonance Imaging
• /
• 제3권2호
• /
• pp.179-187
• /
• 1999

목적 : 본 논문은 Bayes의 복합 의사결정모델을 이용한 효과적인 다중에코 자기공명영상의 분류방법을 소개한다. 동질성을 갖는 영역 혹은 경계선부위 등 영역을 명확히 분할하기 위하여 영상 내 국소 부위 이웃시스댐상의 주변정보(contextual information)를 이용한 분류 방법을 제시한다. 대상 및 방법 : 통계학적으로이질적 성분들로 구성된 영상을 대상으로 한 주변정보를 이용한 분류결과는 영상내의 국소적으로 정적인 영역들을이웃화소시스탬 내에서 정의되는 상호작용 인자의 메커니즘에 의해 분리함으로서 개선시킬 수 있다. 영상의 분류과정에서 분류결과의 정확도를 향상시키기 위하여 분류대상화소의 주변화소에 대한 분류패턴을 이용한다면 일반적으로 발생하는 분류의 모호성을 제거한다. 그러한 이유는 특정 화소와 인접한 주변의 데이터는 본질적으로 특정 화소와 상관관계를 내재하고 있으며, 만일 주변데이터의 특성을 파악할수 있다면, 대상화소의 성질을 결정하는데 도움을 얻을 수 있다. 본 논문에서는 분류 대상화소의 주변정보와 Bayes의 복합 의사결정모델을 이용한 context-dependent 분류 방법을 제시한다. 이 모델에서 주변 정보는 국소 부위 이웃시스댐으로부터 전이확률(tran­s sition probability)을 추출하여 화소간의 상관관계의 강도를 결정하는 상호인자 값으로 사용한다. 결과 : 본논문에서는 다중에코자기공명영상의 분류를 위하여 Bayes의 복합 의사결정모델을 이용한 분류방법을 제안하였다. 주변 데이터를 고려하지 않는 context-free 분류 방법에 비하여 특히 동질성을 강는 영역 혹은 경계선 부위 등에서의 분류결과가 우수하게 나타났으며, 이는 주변정보를이용한 결과이다. 결론 : 본 논문에서는클러스터링 분석과 복합 의사결정 Bayes 모델을 이용하여 다중에코 자기공명영상의 분류 결과를 향상시키기 위한 새로운 방법을 소개하였다.

• 정보관리연구
• /
• 제38권3호
• /
• pp.59-80
• /
• 2007

본 연구에서는 국내 11개 국외 5개의 법학도서관 웹사이트 내비게이션 시스템을 전역, 지역, 문맥, 지원 내비게이션으로 나누어 분석하였다. 그 결과 전역 내비게이션은 일관된 내비게이션을 제공해야 하며, 핵심지역과 기능에 바로 접근할 수 있어야 하는 것으로 나타났다. 지역 내비게이션의 Quick Link는 스크롤바의 이동이 가능하도록 제공할 필요가 있었다. 문맥 내비게이션의 메뉴의 수와 링크 유형은 가급적 적은 수를 제공해야 하는 것으로 나타났다. 마지막으로 지원 내비게이션의 사이트맵과 사이트색인은 웹사이트의 콘텐트의 양에 따라 알맞게 제공해야 하며, 누락된 링크가 없어야 하며 제공내용이 충실해야 하는 것으로 나타났다.

• 한국영어학회지:영어학
• /
• 제3권1호
• /
• pp.55-88
• /
• 2003

In this paper, I will review two main theories on presupposition projection and point out their problems, and suggest the directions of a better analysis. Satisfaction theory is based on the single idea that presuppositions must be satisfied in the local context for the interpretation of a sentence. Problems occur because the theory makes only a minimal requirement on the input context for interpretation. They include the problems of weak presuppositions, unmotivated local accommodation, and projection of satisfied presuppositions. Binding theory assumes that presuppositions are anaphoric elements which can be accommodated. I will show that the syntactic notion of binding is not motivated, and claim that presupposition projection is a matter of information. Finally, I suggest the directions for a better analysis.

• 품질경영학회지
• /
• 제37권1호
• /
• pp.1-9
• /
• 2009

Data envelopment analysis(DEA) has proved to be powerful for benchmarking and has been widely used in a variety of settings since the advent of it. DEA can be used in identifying the best performing units to be benchmarked against as well as in providing actionable measure for improvement of a organization's performance. However, the selection of performance benchmarks is a matter of both technical production possibilities and organizational policy considerations, managerial preferences and external restrictions. In that regards, DEA has a limited value in benchmarking because it focuses on only technical production Possibilities. This research proposes a new perspective in using DEA and a frame-work for benchmarking to select benchmarks that are both feasible and desirable in terms of organizational context. To do this, the concept of local and global efficiency is newly proposed. To show how useful the suggested concept and framework are, a case study is addressed.

• 영어어문교육
• /
• 제15권4호
• /
• pp.109-136
• /
• 2009

This study investigates English medium instruction (EMI) in an institution of higher education in Seoul, Korea to see whether this course creates cultural correction (reproduction of inequitable relations of power in EMI settings) or cultural continuity (opportunities for transporting students into a third space and enabling them to explore cultural diversity and to create new knowledge for themselves). A single site where EMI is carried out, a class on fairy tales and child education taught by a native English speaking professor, was chosen because it was hypothesized that the professor would display some of her unconscious dominant cultural orientation. The results of the study show that there more cases of cultural correction than there were of cultural continuity. Cases of cultural correction included lack of knowledge about the local context, fixing Korean classroom discourse as if it were American classroom discourse, and reproducing orientalism in the local educational setting. Cases of cultural continuity included using comparison to consider the cultural reality of the milieu, creating new knowledge for the local milieu, and learning as a dynamic ongoing process. Implications of this research are discussed including the important realization that EMI should be managed by subject specialists who are trained in language education and have knowledge of the students' needs and discourse in the L1 and in the local context.

• 한국멀티미디어학회논문지
• /
• 제20권8호
• /
• pp.1282-1290
• /
• 2017

Since the mitigation of fear of crime significantly enhances the consumptions in a city, studies focusing on urban safety analysis have received much attention as means of revitalizing the local economy. In addition, with the development of computer vision and machine learning technologies, efficient and automated analysis methods have been developed. Previous studies have used global features to predict the safety of cities, yet this method has limited ability in accurately predicting abstract information such as safety assessments. Therefore we used a Convolutional Context Neural Network (CCNN) that considered "context" as a decision criterion to accurately predict safety of cities. CCNN model is constructed by combining a stacked auto encoder with a fully connected network to find the context and use it in the CNN model to predict the score. We analyzed the RMSE and correlation of SVR, Alexnet, and Sharing models to compare with the performance of CCNN model. Our results indicate that our model has much better RMSE and Pearson/Spearman correlation coefficient.

• 한국농촌건축학회논문집
• /
• 제16권3호
• /
• pp.9-18
• /
• 2014

Small and medium-sized local airports have suffered from chronic operating deficits due to many factors except for large airports in Incheon, Gimpo, Jeju and Gimhae. These small and medium-sized local airports have currently been degraded to inefficient airports handling the significantly lower airline demand than their carrying capacities. In this context, this study conducted a survey on the actual conditions of the airline demand in small and medium-sized local airports for the last 10 years after the opening of the Korea Train eXpress and investigated the causes and actual conditions of an increase and a decrease in the airline demand. In addition, it analyzed the functionality, convenience and economic feasibility, competition elements in comparison with other means of transportation, and the actual competitive conditions of local airports. It investigated facility improvements through a field visit for local airports and analyzed the performance rate of passenger demands and the use rate of terminal facilities according to a change in the airline demand. This study aimed to provide basic data in the architectural planning field, needed to establish a plan for the airport revitalization of local airports with the results of an analysis on the actual conditions of small and medium-sized local airports.