• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.241-272
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• 2022

This purpose of this study was to use the meta-summary method to systematically integrate the findings of the heterogeneous qualitative research on the factors influencing the sexual identity formation process of lesbian, gay, and bisexual groups in Korea. The integrative investigation of the universal or unique factors affecting the identity formation of sexual minority is important to understand their internal experiences and support their psychological adaptation. Using a qualitative meta-summary, this study systematically identified and abbriviated the psychological and social factors that promote or impede the sexual identity acceptance and integration of LGB individuals. First, a total of 9 studies which were published in Korea up to 2021 were identified through the research database. The included studies were critically evaluated by using the Critical Appraisal Screening Programme tool. A total of 179 statements were extracted from the findings of each study and 34 abstracted statements were generated. The 34 abstracted statements were categorized into four groups, psychological factors that promote or impede sexual identity formation and social factors that promote or impede it. These four main categories and corresponding factors in each category were explained. The implications and limitations were also discussed.

• Information Systems Review
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• v.25 no.3
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• pp.1-26
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• 2023

A theoretical model of information overload (Jackson and Farzaneh, 2012) with its three influential components (i.e., time, technology, and social networks) was empirically tested in the context of news consumption behavior considered as a communicative outcome. Using a national sample of South Korean adults (N = 1166), data analyses identified perceived information overload and large/diverse social networks positively associated with active and passive news consumption. Findings may imply the existence of individually varying cognitive threshold (i.e., tipping point), if crossed individuals cannot process information any further. News consumers may keep searching and receiving information to verify factuality of news even when they feel overloaded.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.41-48
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• 2022

This study tried to empirically explore which issues related to the social service agency for public(as below SSA), that is, social perceptions were formed, by using mess media related to the SSA. This study is meaningful in that it identifies the overall social perception and trend of SSA through public opinion. In order to extract media trend data, the search used the big data analysis system, Textom, to collect data from the representative portals Naver News and Daum News. The collected texts were 1,299 in 2020 and 1,410 in 2021, for a total of 2,709. As a result of the analysis, first, the most derived words in relation to the frequency of text appearance were 'SSA', 'establishment', and 'operation'. Second, as a result of the N-gram analysis, the pairs of words directly related to the SSA 'SSA and public', 'SSA and opening', 'SSA and launch', and 'SSA and Department Director', 'SSA and Staff', 'SSA and Caregiver' etc. Third, in the results of TF-IDF analysis and word network analysis, similar to the word occurrence frequency and N-gram results, 'establishment', 'operation', 'public', 'launch', 'provided', 'opened', ' 'Holding' and 'Care' were derived. Based on the above analysis results, it was suggested to strengthen the emergency care support group, to commercialize it in detail, and to stabilize jobs.

• The Korean Society of Law and Medicine
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• v.20 no.1
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• pp.203-242
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• 2019

Since 2006, local governments in Korea have been providing premiums for social insurance, such as the National Health Insurance System, for the health care of local residents. The purpose of this study is to analyze the content of self-governing legislation that defines these policies. The method of conducting the research was based on the articles of the ordinance related to the 'public health insurance premium' of the self-governing statutes published on the website of the National Law Information Center. As of May 2019, 201 municipalities have enacted ordinances to support public health insurance premiums. In the case of state local governments, 8 out of 17 were found, and in the case of basic local governments, 193 out of 226. The constitution of the ordinance consisted of purpose, time of enactment, type of social insurance premium, object of social insurance premium, amount of social insurance premium support, method and process of social insurance premium support, time of social insurance premium support. This study analyzed contents of these articles. Finally, this study presented issues that could be controversial from the policy and legal viewpoints and suggestions for improvement.

• 정보화사회
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• s.101
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• pp.25-34
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• 1996

음성처리(Voice Processing) 시장은 원격통신 산업에서 지속적으로 가장 빠르게 성장하고 있는 분야중 하나로, 지금까지는 전화망에 기초한 통신 관련 음성응용 기술이었다. 그러나 이제는 데이타 네트워크와 PC터미날까지를 포함한 기술로 그 범위가 확대되고 있으며 그 정의도 재정립되어야 한다. 음성프로세싱 기술은 음성 메시지와 자동전화 프로세싱, 디지탈음성 데이타의 기억장치와 검색을 위해 기본 기술을 사용하는 정보엑세스 응용프로그램, 인지와 통합, 전화화된 신호체계, 컴퓨터와 전화의 통합(CTI)등을 포함한다.

• 정보화사회
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• s.109
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• pp.32-37
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• 1997

인류의 역사가 시작된 이래로 정보의 중요성을 가장 크게 부각시킨 것은 아마도 인터넷이라는 전산망일 것이다. 정보의 홍수속에 살아가고 있는 현대인에게는 하루가 다르게 밀려드는 정보를 "어떻게 정리할 것인가?"하는 문제도 새로운 의미로 받아들여진다. 하지만 정작 그 많은 정보를 정리하려 할 때 커다란 한계를 느끼게 된다. 너무나 다양한 정보들의 양에 그리고 많은 정보를 어디에 어떻게 정리할 것인가? 하는 방법론적인 문제의 어려움에 봉착할 것이 뻔하기 때문인 것이다. 이러한 문제의 해결방안으로 컴퓨터를 이용한 빠른 검색과 정리에 이르렀으며 시대적 요청으로 간주되었다. 또한 컴퓨터통신의 발전으로 전세계에 흩어져 있는 수많은 정보의 교류는 더욱 더 활발해져가고 있다. 하지만 이렇게 구성된 다양한 정보망에서 원하는 정보를 찾기란 그다지 쉬운 일은 아니다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.2
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• pp.95-107
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• 2014

In general, topographical phenomena are represented graphically by data in the spatial domain, while attributes of the non-spatial domain are expressed by alpha-numeric texts. GIS functions for analysis of attributes in the non-spatial domain remain quite simple, such as search methods and simple statistical analysis. Recently, graph modeling and network analysis of social phenomena are commonly used for understanding various social events and phenomena. In this study, we applied the network analysis functions to the non-spatial domain data of GIS to enhance the overall spatial analysis. For this purpose, a novel design was presented to integrate the spatial database and the graph database, and this design was then implemented into a WebGIS system for better decision makings. The developed WebGIS with underlying synchronized databases, was tested in a simulated application about the selection of water supply households during an epidemic of the foot-and-mouse disease. The results of this test indicate that the developed WebGIS can contribute to improved decisions by taking into account the social proximity factors as well as geospatial factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.547-555
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• 2016

This study examined the characteristics of a character education program for university students by reviewing the Korean studies and incorporating the results. The research method was an integrated literature review, and for the study, 13 articles were selected by searching with key words, such as 'university student', 'character', and 'program' in 3 research databases, spanning between 2000 and 2015. The results showed that research on the character education program for university students is common, and have been studied for the purpose of self-knowledge and improvement of sociality. Regarding the effective variables, research on self-esteem has attracted the most attention. Based on the research result, the development of a program including various aspects of character is needed, and character education should be arranged over a long period of time with the cooperation of home, school, and whole society, not a one-time and temporary education.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.153-161
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• 2018

Given that reviewing domestic articles on dating violence since 2009 has not been produced in Korea compared to the seriousness of dating violence, this study aimed to suggest research directions for future studies by exploring trends of recent domestic academic literature on dating violence. For this, the study searched for domestic articles in academic data base using key words related to dating violence. Using content analysis, 70 articles selected were analyzed according to year of publication, research subjects, themes, and methods. The results showed that steady academic effort has been made on this topic and university students were studied the most. The theme of analyzing factors affecting dating violence behavior appeared the most and empirical research was more frequent than non-empirical ones. The results suggested a need to extend the scope of research themes, subjects and methods in this field.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.935-945
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• 2021

The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.