• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.4
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• pp.159-170
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• 2016

This study is aimed to research the trend of studies on the evaluation of clothing fit using the domestic research journals. clothing fit has long been regarded as the most important element to customers in clothing appearance. Understanding fit from a consumer's perspective is complex. 85 articles were collected from domestic academic sites (KISS, DBpia, KiSTi). Many clothing fit articles published on the 2011-2016 year. In research target, young women were more than other age groups. On the evaluation of clothing fit, method of clothing fit classified survey using the questionnaire and wearing test. Many articles were used the survey using the questionnaire, 57.7%. The other articles were used wearing test with professional analyst and objective evaluation tool. Objective evaluation was used 3D virtual wearing systems (i-designer, DC suit, CLO et al). In the survey using the questionnaire and wearing test using the objective evaluation, jacket and pants were researched on the clothing items mainly. Many young women put on the jacket and pants to active energetically. In the future, researches related clothing fit need to develop the objective and accuracy evaluation tool of clothing fit.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.203-208
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• 2024

The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

• Journal of Korean Library and Information Science Society
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• v.45 no.4
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• pp.457-482
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• 2014

The purpose of this study is to derive a major trend through exhaustive search of papers contained in "Journal of Korean Library and Information Science Society" that has been published for 40 years. Therefore, 1,365 papers published in "Journal of Korean Library and Information Science Society" from 1974 to 2013 were analyzed. The analysis criteria include detailed subject and joint research status, research fund supporting, research area etc. The analysis results are as follows. First, as for research topics, papers on library and information science were the most, 452 papers followed by resource organization, 213 papers. The rest was found in the order of information service 188, information science 155 papers, reading guidance 101, library management 91, bibliography 84, collection development 58, archives and records management 20 papers. Through this, it was analyzed that information science is on an increasing trend while bibliography is on an decreasing trend and records management shows sluggish production. Second, as for research fund supporting, it turned out that 428 papers were funded and 315 papers among them were supported by the university while the remaining 108 papers were supported by the government. Third, joint research is on an increasing trend and unlike the fact that there have been no papers for early, papers were found to increase up to 303 papers for recent. Fourth, unlike the early phenomenon concentrated in Daegu, research areas showed even distribution throughout the country in recent years. This showed that it has grown from certain area-based academic journal to nationwide academic journal.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.146-172
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• 2018

In the Small and Medium Enterprises(SMEs) sector, research has shown an increasing trend due to changes in industrial society and policy. Therefore, the interrelationship between academic research and policy is relatively high. In this study, we analyzed the trends of academic research related to SMEs innovation policy. Moreover, we examined the interrelationships. By using text mining techniques, we have identified key themes and changes in domestic policy papers published since the announcement of the "Five-Year Plan for Innovation of SMEs". Also, we compared them with "Five-Year Plan for Innovation of SMEs" of each period. The result shows that the gap between academic research and policy has been closing over time. This study shows that there is an increasing number of research studies that verify policies at the relevant time from an academic point of view, and that policy issues are in turn influencing academic research due to government-driven policies. Also, it was confirmed that there was a time gap between academic research and policy. Academic research tended to increase compared to the previous year's level, when the policy had been implemented. The results of this study are expected to contribute to the establishment of the "2019~2023 five-year plan for Small and Medium Enterprises" which will be announced in the future, and this study will demonstrate the possibility of devising evidence-based policy.

• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.40-54
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• 2020

This proposed work aims to understand the Korean Academic Circle (KAC)'s research trend on the "One Belt One Road" (OBOR) by employing a quantitative analysis of the recent research articles published by the KAC. To do so, this proposed research has used the well-known network analysis software, Ucinet 6, by which the papers on related topics are collected and filtered from Korea Citation Index. To perform the analytical selection, the proposed work has chosen 'keywords' as the core research object and performed analysis from transverse to longitudinal aspects, and from holistic to individual aspects, respectively; and from this, the KAC's research trend on OBOR is derived. The present work has established that the KAC's attention is continuously increasing on OBOR and has sustainability. Centered on the OBOR, Korean researchers have spread their studies in various dimensions ranging from the issues like China's political economy to Sino-Korea economic and trade exchanges, and so on. The KAC has even combined OBOR with Korea's international development initiatives, which can help Korea benefit from active and sustainable cooperation with China. Moreover, the proposed work has found that Korean researchers have also actively expressed their growing attention, highlighted Korea's interest, and showed concern about China hegemony and Sinocentrism in their recent documented research works.

• Korean Journal of Comparative Education
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• v.26 no.3
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• pp.75-102
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• 2016

The purpose of this study was to analyze the research trends on educational development cooperation in Korea with the comparative perspectives. In order to do this, this study analyzed the both of academic journal articles(N=184) and policy research reports(N=85) published in Korea from 1993 to 2015, based on the following criteria: research topic, purpose, target, and the characteristics of publication. As the result of the contents analysis, educational development cooperation researches were expanded and diversified in accordance with changes in development cooperation policy in Korea, and also found following three characteristics. First, the overall trend of the researches focused mainly on a theocratical basis in order to implement educational ODA projects rather than academic interests. Second, there were small number of academic research dealing with effectiveness or limitation of specific educational ODA projects, despite of a large portion of them. Third, there was a lack of academic interaction between education society and international development cooperation society. Based on these findings, this study discussed the implication for the future educational development cooperation research.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.61-69
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• 2016

Recently, university education is changing from content- centered to learner - centered education not to deliver knowledge unilaterally but to help student to cultivate their skills to discover and apply knowledge for themselves. It means that students' cognitive or emotional development is being emphasized. Also, because of universities' quantitative expansion, more strict evaluation on professors' research result, or conversion to a departmental system in a university organization, it has become a crucial issue for undergraduates to adapt to college life successfully. Along with this trend of university education, an academic advising system is becoming one of the most important areas in it as in not only provides students with necessary academic information but also helps them adapt to college life by developing their potentials and integrating their career and life plans. Therefore this study is going to examine the status of academic advising systems in US universities, investigate how Dongguk University's Paramita college operates its academic advising system, and find out way to establish academic advising system in Korean universities.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.143-164
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• 2003

Because of the wide scale in EC area, the use of Electronic Commerce spreads out quickly. This paper proposes the curriculum applied to the department of EC in University reflecting the recent social trend. EC has some relations with the several areas like Computer Science ＆ Engineering, Management and Industrial Engineering etc. after analyzing the domestic curriculums, we propose the propriate curriculums and academic classification standard. Also according to the standard, We want to propose the separate curriculums to three important majors and describe the introduction to each major.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.333-336
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• 2020

AI-powered robot news is drawing attention as artificial intelligence technology is fully spread in the news distribution field. Robot news still has many technical and ethical problems, but academic research on this is insufficient. This study analyzes the issue of robot writing in artificial intelligent based robot journalism industry using SWOT analysis. As a result, the advantages of big data processes, accurate information gathering, high efficiency and disadvantages such as lack of independent arguments and lack of evidence and opportunities for technical development, government support, academic development, and industrial applications, and threats such as uncritical acceptance and lack of talent have been found. This study suggests three future-oriented directions, such as human-machine collaboration, intelligent news, and chat-bot, through previous studies on the development direction of robot journalism-based article writing.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.361-368
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• 2022

This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.