• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.276-277
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• 2010

Web2.0의 고도화와 소셜미디어의 진화에 따라 웹 기반 콘텐츠에 대한 다양한 활용이 시도되고 있다. 또한, IPTV 부분에서는 기존의 TV기반에서 Web기반, Mobile기반 서비스로 확산되고 있다. 이러한 멀티디바이스 환경과 웹기반 콘텐츠의 IPTV 활용 서비스를 위해서는 콘텐츠에 대한 정의와 이를 표현하기 위한 메타데이터에 대한 정의가 필요하다. 이를 위해서 관련 표준화 단체를 분석한 후 이들이 제공하는 콘텐츠 메타데이터의 연관관계를 비교 분석하였다. IPTV 서비스를 위한 콘텐츠 메타데이터는 TV AnyTime Phase1 을 바탕으로 각 표준기구의 네트워크 상황과 서비스 방식에 따라 선택적으로 적용하고 있으며, VOD 서비스를 위해서는 CableLab의 ADI 메타데이터를 적용하고 있다. 향후 멀티디바이스 환경에서 IPTV 서비스를 위해서는 메타데이터에 대한 확장 연구가 필요하다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.2
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• pp.231-246
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• 2013

This paper attempts to explore the use of social metadata in academic libraries. A total of 173 academic libraries were examined and analyzed. Various social metadata were reviewed, involved with users' participation and contribution. Error-reports, tagging, recommendations, ratings, reviews, comments, sharing, and community were identified that support selection, sharing and collaboration through social engagement. Suggestions drawn from the findings are offered to utilize social metadata in order to enhance users' contribution and interaction. It is hoped that this exploratory study will provide insight into the use of social metadata in academic libraries.

• Informatization Policy
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• v.19 no.4
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• pp.3-26
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• 2012

The purpose of this study is to provide a systematical view point of SNS research published by scholarly journals in communications vis a meta-analysis. A total of 72 articles dealing with SNS issues from 2006 to 2012 were analysed by research theme, related sub-theme, methodology, theoretic rationale, targeted media, and characteristics. Effect research get the largest portion and then user research in terms of a developmental model of media research agenda. A major methodological trend is an online survey and theoretical background is Uses and Gratification. Twitter is the most popular medium researched and SNS is mainly characterized as information provision and seeking as well as relationship forming.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.408-414
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• 2016

This study will find meaningful independent variables for criterion variables that affect influencing on purchase intention in social network service, on the basis of the results of a meta-analysis. We reviewed a total of 29 studies related purchase intention in social network service published in Korea journals between 2005 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. The result of the meta-analysis might be summarized that the highest effect size (r = .455) is the path from the satisfaction to the purchase intention. The second biggest effect size (r = .398) was found in the path between the word of mouth to the purchase intention. Next, the effect size (r = .386) in the path from the trust to the purchase intention showed very lower. Finally, the result of the meta analysis can be concluded that lower effect size (r = .342) Further, the predictive variables of this study have power of explanation about 22%-12% or more. Based on these findings, several theoretical and practical implications were suggested and discussed.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.97-122
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• 2023

Metaliteracy is a new framework that reframes information literacy. Metaliteracy is distinguished from information literacy through the intruduction of postmodernism, social constructivism and metacognition. However it has been not examined whether metaliteracy studies reflect the conceptual differences. Therefore, The purpose of the study is to observe research trends of metaliteracy on the difference from information literacy. In the study, literature reviews were conducted, and frequency analysis and knowledge network analysis(co-occurrence and bibliographic coupling) were conducted for 80 metaliteracy studies. The results of the study are as follows. As a result of co-occurrence analysis, metacognition(frequency 1st) and skills(degree centrality 1st, closeness centrality 1st, betweenness centrality 1st) appeared. Since metaliteracy criticizes skill-based information literacy, the result suggests that the concepts of information literacy and metaliteracy are mixed. On the other hand, as a result of bibliographic coupling analysis, studies with high bibliographic coupling explain the difference between information literacy and metaliteracy through metacognition.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.873-900
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• 2017

본 연구는 사회연결망 분석이론을 통해 원자력 과학기술에 대한 사회과학 연구의 경향적 특징을 파악하고, 동 분야의 주요 연구주제와 하부 연구분야를 도출하기 위해 수행되었다. 연구대상은 1957년부터 2016년까지 국내 학술지에 게재된 원자력 관련 사회과학 분야 연구논문 605건으로, 저자가 제시한 키워드 간 관계망 형성을 통해 네트워크 분석을 수행하였다. 분석결과, 첫째 국내에서 수행된 원자력 관련 사회과학 연구의 기술통계적 특징을 확인하였다. 원자력 사회과학 연구는 1957년부터 시작되어 꾸준히 수행되어졌는데, 2011년을 기점으로 논문발표가 급격히 증가했다. 주로 법학, 행정학, 정책학, 정치학의 연구가 대학 내 연구자를 중심으로 수행되어 왔다. 원자력 관련 기술개발이 주로 정부 출연연구기관에서 수행된다는 점을 고려 했을 때, 향후 사회과학 분야에 있어 대학과 출연기관 간의 역할분담이 필요하다. 둘째, 후쿠시마 원전사고가 발생한 2011년을 기점으로 사회과학의 원자력에 관한 연구가 양적, 질적으로 본격적으로 활성화 되었다. 원자력 관련 사회과학 지식 네트워크는 2011년 이전에 비해 규모면에서 큰 차이를 보였다. 또한, 네트워크 중심성 분석결과, 후쿠시마 사고 이전 사회과학 연구자들의 연구경향은 핵비확산, 과학기술 정책, 사회수용성이었다면, 후쿠시마 이후에는 원전해체, 손해배상, 에너지믹스, 탈핵운동 등과 같은 다양한 원자력 현안으로 확대되었다. 셋째, 하부 연구분야 도출을 통해 특정 연구주제별 쏠림현상을 확인했다. 하부 네트워크 분석 결과, 제시된 9개의 하부 연구분야는 네트워크 속성 값에서 차이를 보였다. 특히, 법학 관련 연구주제가 가장 높은 밀도를 갖는 반면 지속가능 발전과 에너지 믹스 관련 연구주제의 밀도가 가장 낮게 나타났다. 본 연구는 원자력에 관련된 학자의 인식을 연구경향 분석을 통해 파악한다는 점에서 의의가 있으며, 이는 추후 원자력 관련 정책연구자 혹은 정책결정자에게 유용한 기초자료를 제공할 것이라 기대된다.

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.63-83
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• 2016

As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

• Journal of muscle and joint health
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• v.29 no.1
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• pp.18-27
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• 2022

Purpose: A network meta-analysis was conducted to assess the comparative effects and ranks of repositioning for pressure ulcer prevention in adults. Methods: A network meta-analysis was performed in a frequency method, using the "netmeta" package of R software version 4.1. The effects of repositioning intervention were confirmed by the odds ratio. The comparative ranking of the repositioning effects was confirmed using the cumulative probability (P-score). Results: Seven intervention studies were included in this study. Based on the P-score, the use of the repositioning system was ranked as the most effective among all interventions (P-score 78.7%). Next was 3~4-hour repositioning combined with memory foam mattress use (P-score 77.2%), use of wearable sensor (P-Score 61.4%), 2-hour repositioning combined with memory foam mattress use (P-score 59.1%), 2-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%), and 4-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%). Conclusion: This study provides information on the relative comparative value of various repositioning interventions to prevent pressure ulcers using network meta-analysis. This is expected to be useful for nurses' decision-making when applying repositioning interventions in clinical practice

• Journal of muscle and joint health
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• v.30 no.3
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• pp.218-229
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• 2023

Purpose: This study aimed to assess and compare the effectiveness of various fall prevention interventions in hospitals through a network meta-analysis. Methods: A network meta-analysis was conducted using the "netmeta" package in R software (v4.1), employing a frequency method. Odds ratios of fall rates and injurious fall rates were utilized to confirm the effects of interventions for fall prevention. Comparative rankings of these interventions were determined using cumulative probability (P-score). Results: Comparative rankings via cumulative probability (P-scores) revealed individualized education as the most effective intervention for fall incidence (P-Score 87.8%). Followed by fall-preventing sensors (60.9%), multicomponent interventions (47.4%), usual care (33.2%), and environmental modification (20.7%). For fall-related injuries, individualized education ranked highest (P-Score 97.1%), followed by multicomponent interventions (76.0%), usual care (47.6%), environmental modification (24.2%), and fall-preventing sensors (5.1%). Conclusion: This study provides valuable insights into the relative effectiveness of diverse interventions in preventing fall incidence through network meta-analysis. The findings aim to support nurses in making informed decisions when implementing fall prevention strategies in clinical practice.

• Knowledge Management Research
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• v.23 no.2
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• pp.37-60
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• 2022

The growth of virtual reality games and the popularization of blockchain technology are bringing significant changes to the formation of the metaverse industry ecosystem. Especially, after Meta acquired Oculus, a VR device and application company, the growth of VR-based metaverse services is accelerating. In this study, the concept that supports leisure activities in the metaverse environment is explored realting to game-like features in VR apps, which differentiates traditional mobile apps based on a smart phone device. Using exploratory text mining methods and network analysis approches, 241 apps registed in the Oculus Quest 2 App Store were analyzed. Analysis results from a quasi-network show that a leisure concept is closely related to various genre features including a game and tourism. Additionally, the anlaysis results of G & F model indicate that the leisure concept is distictive in the view of gateway brokerage role. Those results were also confirmed in LDA topic modeling analysis.