• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.553-566
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• 2022

This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.

• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.111-122
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• 2010

Since educating digital convergence is to unite various sciences and technologies with computer as the central figure, it has different range and methods of education. Therefore, it has problems with recommending limited conceptual information because of difficulties to standardize education plan and teaching strategies. In this paper, I propose education plan and teaching strategy system by using Spearman correlation coefficients. This system is to find a solution against disadvantage of recommending limited conceptual information by ranking relations of teaching strategies from the information based on the demand of industrial and academic fields, and then provides lists of teaching strategy information suitable for user's atmosphere and characteristics. Performance test is to compare effects of precision and recall with existing service systems. The test shows 90.4% of precision and 77.6% of recall.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.37-42
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• 2018

Purpose - The purpose of this study is to analyze the current status of various fusion research journals and the operational strategies of such journals and compare them with the operational strategies of IJIDB. Research design, data, and methodology - This study focused on the contents analysis of convergence journals after summarizing the development history from IJIDB's past and its external situation. In addition, we analyzed other strategies such as the number of publication journals, the number of publications, the academic scope, and the impact factor that other convergence journals operate on. Results - As a result of the analysis, the convergent journals showed to have several related journals, and some journals managed their impact factor well at 5.8. Also, some journals loaded 25 papers in one volume. Also, the managerial functions in IJIDB should be developed further to increase its stability. Finally, opportunities for articles by Candidates of Ph.D. and Masters degree students should be more open to in this field. Conclusions - If IJIDB finds its competitiveness in comparison with the operational strategies of other convergence journals, it will be the best journal in the Korea Citation Index to receive the most research papers and hospitality from scholars in the Korean journals.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.45-50
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• 2020

This study used data from the 15th (2019) Youth Health Behavior Online Survey. A study was conducted to investigate the relationship between oral health behaviors and drink intake and oral symptoms in adolescents. The collected data was analyzed using SPSS/WIN 25.0 program, a software for statistical analysis. Logistic regression analysis using oral symptoms as a dependent variable revealed that gender, school classification, academic performance, dental treatment experience, carbonated beverages, energy drinks, and sweet drink intake were associated with oral symptoms. Based on the above results, consumption of carbonated beverages, energy drinks, and sweet beverages was found to have a negative effect on oral symptoms. In the future, it is thought that oral health education related to drinking intake will be needed by setting guidelines for sugar intake.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2161-2168
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• 2014

According to the growing interest in the digital convergence throughout society, the convergence of creative and new forms is emerging recently in various fields. Research methods to explore the diversity of academic studies have been studied in the field of study. As one of these methods, research on electronic cultural atlas that has features of convergence studies is gradually spreading. In this paper, we examine existing electronic cultural atlas and then, compare and analyze them. In details, existing electronic cultural atlas are comparative analyzed on the basis of base map, interface, and function. Through the results of comparative analysis, the efficient production of electronic cultural atlas are examined.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2739-2744
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• 2015

Development of policy incentives and policy direction in the innovation economy is always important. Innovations policy have characterized industrial dynamics, leading to a transformation of the market structure of the specific industry. The paper explores the development of industry convergence for understanding the change of the wireless industry in Daejeon. Although its initial focus is R&D center, The business model has become the research and development of external demand than its own product research and development. For regional innovation, the wireless industry policy should be provided with their own product development pattern.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.66-71
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• 2021

The purpose of this paper is to identify keywords related to museums, gamification, and visitors, and provide basic data that the museum market can be expanded by using gamification. That used to collect data for blogs, news, cafes, intellectuals, academic information by Naver and Daum which is Web documents in Korea, and Google Web, news, Facebook, Baidu, YouTube, and Twitter for analysis. For the data analysis period, a total of one year of data was selected from April 16, 2020 to April 16, 2021, after Corona. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analysed and visualized using the Netdraw function in the UCINET6 program. In addition, We performed CONCOR analysis to derive clusters for similar keywords. As a result, a total of 25,761 cases that analysing the keywords of museum, gamification and visitors were derived. This shows that the museum, gamification, and spectators are related to each other. Furthermore, if a system using gamification is developed for museums, the museum market can be developed.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.1-13
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• 2022

The Paper Using the meta-analysis research method, first through literature retrieval to obtain 23 relevant empirical studies in China, and then using Review Manager for quantitative analysis, it is found that VR technology has a positive impact on students' overall learning effect and VR technology has a significant positive impact on all dimensions of learning effect (theoretical performance, operational performance, learning motivation, learning interest, learning attitude). There is no significant difference between the dimensions. Significant differences were found for moderating variables such as Discipline types, Teaching Length, and Teaching Method. No significant differences were found for the Academic segments and VR technology types.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.41-46
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• 2022

The purpose of this study is to confirm and analyze the impact on consumers through big data keyword analysis on weak food. For data collection, web documents, blogs, news, cafes, intellectuals, academic information, and Google Web, news, and Facebook provided by Naver and Daum were used as analysis targets. The data analysis period was set from January 2018 to December 2021. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analyzed and visualized using the Netdraw function among UCINET6 programs. In addition, CONCOR analysis was conducted to derive clusters for similar keywords. As a result of analyzing yakseon food with keywords, a total of 35,985 cases of collected data were derived. Through this, it was confirmed that medicinal food affects consumers. Furthermore, if a business model is created and developed through yakseon food, it will be possible to lead the popularization of yakseon food.

• The Korean Journal of Food & Health Convergence
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• v.9 no.1
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• pp.19-28
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• 2023

The purpose of this study is to explore which areas have been more interested in depression research in Korea through analysis of academic papers related to depression, and then to provide insights that can solve future depression problems. 1,032 papers searched with the keyword "depression" in scienceON were analyzed using Python 3.7 for word frequency analysis, word co-occurrence analysis, BERTopic, LDA, and OLS regression analysis. The results of word frequency and co-occurrence frequency analysis showed that related words were composed around words such as patient, disorder and symptom. As a result of topic modeling, a total of 13 topics including 'childhood depression' and 'eating anxiety' were derived. And it has been identified as a topic of interest that 'suicidal thoughts', 'treatment', 'occupational health', and 'health treatment program' were statistically significant topics, while 'child depression' and 'female treatment' were relatively less. As a result of the analysis of research trends, future research will not only study physiological and psychological factors but also social and environmental causes, as well as it was suggested that various collaborative studies of experts in academia were needed such as convergence and complex perspectives for depression relief and treatment.