• Journal of the Korean Society for Library and Information Science
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• v.50 no.4
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• pp.55-75
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• 2016

We analyzed the characteristics of the physicians preferred information sources and barriers through in-depth interviews. Information searches for patient treatment were subdivided into deciding patient treatment methods, understanding the latest treatment trends, and preparing presentation materials for conferences. The variables that affected the search behaviors were identified as being background knowledge on the topic, clinical experience, job title, search skills, user training, and familiarity with the library homepage. PubMed was the most preferred choice because of users' familiarity, reliability, and the vastness of information; Google was also used frequently for easy access and fast search result. The accuracy and the recentness of information were the most significant criteria. Easy interface and convenient access were also considered important due to physicians' time constraints. Searching obstacles were divided into difficulty of searching system, unfamiliar term, too vast resources, difficulty to get fulltext articles and complex advanced search features. The results of this study can be utilized as a basis for improving information service of library and curriculum development for physicians.

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.177-193
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• 2016

This study aims to analyze physicians' online information search process to solve the clinical questions at the point of care. To achieve this purpose, ten university hospital-based physicians participated in-depth interviews and observation studies. Based on Wilson's problem solving process, this study analyzed the characteristics of each information search stage and efficiency of online searching. The results showed that participants tend to relatively immediately formulate their clinical questions. However, basic searching strategies were only used and a few preferred information sources were chosen. However, average satisfaction degree of online searching appeared high with 5.7 (7 Likert-scale) and problem-solving index increased after searching. As physicians are likely to use well organized and evidenced-based credible information easily, it implies the needs for an integrated search system within the electronic medical record (EMR). In addition, as other online resources' awareness is lower comparing Google and PubMed, active promotions and training of other resources are needed.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.2
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• pp.69-99
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• 2021

This study aims at exploring what kinds of factors affect university students to choose video contents as information sources of serious leisure activities. Among other, It focuses on the effect of information quality and cognitive authority. This study analyzed 209 sets of data collected by conducting an online survey of university students from across the country. The implications and results of this study are as follows: First, among the sub-components of information quality, timeliness, relevance, and accuracy had a positive effect significantly on the intention of video contents use as an serious leisure information source, and among those of cognitive authority, the characteristics of platforms was the most influential one. Second, the multiple regression analysis was used to figure out that, some sub-components of cognitive authority turned out to have a positive effect significantly on the evaluation of information quality. This study has a significant meaning in that it investigated the intention of video content use with the two factors (information quality and cognitive authority), especially at this time when more and more people are enjoying video contents as an serious leisure information source.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.6
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• pp.1514-1525
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• 1998

Two main characteristics of VBR MPEG video traffic are different statistics according to different picture types and the periodic traffic pattern due to GOP structure. Especially, the I-pictures at the beginning of each GOP generate $$\mu$h more traffic than other pictures. When several VBR Mpeg video sources are superposed, the I-picture starting times of these sources may significantly affect the cell loss characteristics of ATM $$\mu$tiplexers. In this paper, we propse a performance model for ATM $$\mu$tiplexers with VBR MPEG video sources whose starting times are arbitrary given. For analysis, both single and superposed source traffic are modeled as NDPPs (non-deterministic periodic processes), and the ATM $$\mu$tiplexer is modeled as a U-state NDPPD/D/1/B queueing system. It is hown that the numerical results are very close to the si$$\mu$ation results. From the relationships between the starting tiem distributions and the corresponding $$\mu$tiplexer performances, some considerations for designing a scheduling policy in order to obtain the maxi$$\mu$ $$\mu$tiplexing gain are presented.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.75-85
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• 2021

In this paper, we present a deep neural network-based prediction model that processes and analyzes the corporate credit and personal credit information of individual business owners as a new method to predict the default rate of individual business more accurately. In modeling research in various fields, feature selection techniques have been actively studied as a method for improving performance, especially in predictive models including many features. In this paper, after statistical verification of macroeconomic indicators (macro variables) and credit information (micro variables), which are input variables used in the default rate prediction model, additionally, through the credit information feature selection method, the final feature set that improves prediction performance was identified. The proposed credit information feature selection method as an iterative & hybrid method that combines the filter-based and wrapper-based method builds submodels, constructs subsets by extracting important variables of the maximum performance submodels, and determines the final feature set through prediction performance analysis of the subset and the subset combined set.

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.249-253
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• 1999

본 연구에서는 경제. 경영학 분야의 전자 정보원을 좀 더 효율적으로 검색하기 위해서 각 정보인의 특성 및 내용을 체계적으로 기술하는 메타데이터를 설치한 후 XML과 ACCESS 데이터베이스 시스템을 이용하여 메타데이터 검색 시스템을 구현해 보았다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.169-171
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• 2023

eLoran 신규송신국 구축 진행현황을 확인하고 eLoran 전국망 지상기반 PNT 서비스의 안정 제공을 위한 울릉도, 제주도 신규송신국 구축 가능한 해수부 부지를 사전 검토하고 부지 특성에 따른 안테나 설계 적합성 및 성능을 검토하여 적정한 안테나 배치안을 제시하였다.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.295-307
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• 2016

The purpose of this study was to explore the influence of credibility of health information (CHI) source and e health literacy (eHL) on health information orientation (HIO) of parents of hospitalized children. Convenience sampling method of 109 parent whose children were admitted in a children's hospital in D city was used. The hierarchial regression model with general characteristics and characteristics of children for step 1 and eHL and CHI for step 2 against HIO was statistically significant (F=8.22, p<.001). And this model could explain 40% of HIO ($R^2$=.40). Especially, eHL (${\beta}$=.54, p<.001) and CHI (${\beta}$=.21, p=.008), subjective health perception (${\beta}$=.19, p=.016), and age (${\beta}$=-0.15, p=.048) were identified the influencing factors on HIO. Based on these findings, to foster the HIO of parents of inpatient children, credible health information should be given to these population and a approach with eHL enhancement should be considered. And further research that is to explore the way to enhance the eHL should be carried out to suggest the practical application

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.189-206
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• 2014

The purposes of this study are to analyze relevance judgement of college students' problem solving process and suggest improvements for information literacy education in higher education. The in-depth interviews were conducted with 9 subjects to identify relevance judgement processes and problems. As a result, the main problems during relevance judgement processes were judgement about content of document aligned with subject's opinion, judgement about reliability of newspaper articles, shortage of relevance judgement time due to deadline of an assignment and judgement of relationship of documents and evaluation result. The recommendations for information literacy education are as follows: objective relevance judgement education, guidance of reliable information source;showing guideline of using reference information by professor and emphasis of engaging in information (4.1 stage of Big 6).

• Journal of agricultural medicine and community health
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• v.43 no.3
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• pp.147-157
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• 2018

Objectives: The aim of this study is to measure health literacy levels and to identify health literacy related factors in vulnerable elders. Methods: The research design for this study was a descriptive survey design using convenience samples. Data collection was done by interviewing questionnaire with 200 elders from welfare centers in the cities. Data were analyzed by using percentage, Chi-square and multiple logistic regression with the IBM SPSS Statistics Ver. 24.0. Results: The results of this study are as follows: Vulnerable elders' sources of health information levels were very low, especially internet. In multiple logistic regression analysis, monthly income, sources of health information were significant accounted for OR 2.201, p<.05, OR 2.989, p< .01 health literacy. Conclusion: These results suggest that interventions for improving health literacy are necessary to enhance elders' finding of health information. Also, these results could be used in developing health literacy programs by internet.