• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.81-93
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• 2022

The purpose of this study is to understand the meaning of clinical practice experience, including web-based simulation practice, in the context of the corona pandemic era. As for the research method, data were collected through a focus group interview on the experience of web-based simulation practice and subsequent clinical practice and analyzed by content analysis method. The contents of the two interview groups were analyzed, and the results were divided into 2 components, 7 topic groups, and 18 topics. The first component, the clinical practice, was divided into four topic groups: 'The anxious start of practice in a pandemic situation', 'Direct experience through various cases', 'Training opportunities to prepare as a future nurse', and 'The burden of performance and limited experience'. The second component, the web-based simulation practice, was divided into three topic groups: 'Unfinished nursing practice', 'Indirect experience of clinical nursing in virtual space', and 'Requirement of an integrated practice model'. Clinical practice is a very important part of the nursing education curriculum. However, the nursing that students can perform in the field is very limited. Therefore, to supplement the shortcomings of observation-oriented clinical practice and to increase the quality of practical education, it is necessary to consider a hybrid education model including web-based simulation practice.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.873-876
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• 2017

최근 정보검색의 효율성을 위해 데이터를 분석하여 해당 데이터를 가장 잘 나타내는 연관단어를 추출 및 추천하는 연구가 활발히 이루어지고 있다. 현재 관련 연구들은 출현 빈도수를 사용하는 방법이나 LDA와 같은 기계학습 기법을 활용해 데이터를 분석하여 연관단어를 생성하는 방법을 제안하고 있다. 기계학습 기법은 결과 값을 찾는데 사용되는 특징들을 전문가가 직접 설계해야 하며 좋은 결과를 내는 적절한 특징을 찾을 때까지 많은 시간이 필요하다. 또한, 파라미터들을 직접 설정해야 하므로 많은 시간과 노력을 필요로 한다는 단점을 지닌다. 이러한 기계학습 기법의 단점을 극복하기 위해 인공신경망을 다층구조로 배치하여 데이터를 분석하는 딥러닝이 최근 각광받고 있다. 본 논문에서는 기존 기계학습 기법을 사용하는 연관단어 추출연구의 한계점을 극복하기 위해 딥러닝을 활용한다. 먼저, 인공신경망 기반 단어 벡터 생성기인 Word2Vec를 사용하여 다양한 텍스트 데이터들을 학습하고 룩업 테이블을 생성한다. 그 후, 생성된 룩업 테이블을 바탕으로 인공신경망의 한 종류인 합성곱 신경망을 활용하여 사용자가 입력한 주제어와 관련된 최근 뉴스데이터를 분석한 후, 주제별 최신 연관단어를 추출하는 시스템을 제안한다. 또한 제안한 시스템을 통해 생성된 연관단어의 정확률을 측정하여 성능을 평가하였다.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.587-592
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• 2009

The purpose of this study is finding the way of vitalizing local festival of Chung-buk through successful local festivals and local festivals of Chung-buk. Therefore this study analyzed case of local festivals Young dong with reference definitude, participation, foundation, organizing, capability of calling the people. And It is pointing out the problems of the local festivals and suggesting the ways of vitalizing local festival in Chung-buk.

• Korean Journal of Cognitive Science
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• v.15 no.4
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• pp.49-59
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• 2004

An eye-tracking experiment was conducted to examine resolving processes of grammatical marking ambiguities of Korean. and to evaluate predictions from the garden-path model and the constraint-based models on the processing of Korean morphological information. The complex NP clause structure that can be parsed according to the minimal attachment principle was compared to the embedded relative clause structures that have one of the nominative marker (-ka), the delimiter (-man, which roughly corresponds to the English word 'only'), or the topic marker (-nun) on the first NPs. The results clearly showed that Korean marking ambiguities are resolved by the minimal attachment principle, and the topic marker affects reparsing procedures. The pattern of eye fixation times was more compatible with the garden-path model, and was not consistent with the predictions of the constraint-based accounts. Suggestions for further studies were made.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.179-196
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• 2006

This study proposes an expanded model of personalized search service based on community activities on a Korean Web portal. The model is composed of defining subject categories of users, providing personalized search results, and recommending additional subject categories and queries. Several experiments were performed to verify the feasibility and effectiveness of the proposed model. It was found that users' activities on community services provide valuable data for identifying their Interests, and the personalized search service increases users' satisfaction.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.291-316
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• 2007

The purpose of this study is to design metadata model for describing different kinds of concepts, properties, and semantic relationships of result materials of researches. We examine our metadata model to evaluate correctness and efficiency of the model through contents analysis of a constructed database. From the results of examination, we suggest more effective structure of metadata schema. Domain ontology could constructed by the enlarged thesaurus in order to overcome the limitation of the keyword search, therefore we design a philosophy and religion ontology based on subject classification to improve information retrieval and implement it using XML/Topic Maps to improve retrieval functionality of our database.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.347-373
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• 2022

In this study, in order to expand the access points of reading materials, a reading material classification (RMC) system based on the facets of book use was devised. The facets of books that can be considered by book users in the reading situation were content-analyzed. Also, through network analysis, subject headings adjacent to one subject heading were grouped into related subject headings. The RMC developed in this study can be used as a tool that provides various access points to help book users search in the library OPAC and other reading information systems.

• Proceedings of the Korean Society for Information Management Conference
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• 1998.08a
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• pp.177-182
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• 1998

인터넷 정보자원의 폭발적인 증가에 따라 이를 효율적으로 조직화하고 체계화하는 시스템의 중요성이 증가하고 있다. 이에 따라 주제접근을 용이하게 하고 검색 효율성을 높이는 도구로서 분류체계에 대한 관심이 커지고 있다. 본고에서는 인터넷 서비스의 분류체계 응용사례중 주제별 디렉토리의 인터넷 기반 분류체계와 기존 문헌 분류체계를 비교 분석함으로써 인터넷 환경에 적합한 분류체계의 구성방안을 제시하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2004.08a
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• pp.5-10
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• 2004

단락은 문서의 세부 주제를 담고 있는 중요한 단위이다. 이 연구에서는 이용자 다양한 질의에 맞추어 동적으로 주제단락을 추출하여 이용자가 찾고자 하는 정보를 제공하는 방안을 고찰하였다. 추출된 단락의 질의응답성능을 분석, 평가한 결과 복수문서 환경에서 순차적 단락확장 기법으로 추출된 단락이 이용자 질의에 가장 적합한 정보를 추출하는 것으로 나타났다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 1997.12a
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• pp.1-5
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• 1997

WEB기반의 환경GIS 자료관리를 위해 JVM(Java Virtual Machine), JDBC, Oracle을 이용한다 환경GIS자료에는 위성영상, 주제도, 일반 GIS자료 등이 있으며, 이 자료는 공간정보와, 속성정보를 가지고 Server의 DB에 존재한다. 자료의 검색과 등록은 WEB Browser에서 조회용 지도를 이용하여 지도상 공간속성정보와 비공간속성정보에 의한 검색기능을 제공한다.