• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.393-414
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• 2023

The goal of this study is to investigate domestic research trend on research data study. To achieve this goal, articles related research data topic were collected from RISS. After data cleansing, 134 author keywords were extracted from a total of 58 articles and keyword network analysis was performed. As a result, first, the number of studies related to research data in Korea is still only 58, so it was found that many related studies need to be conducted in the future. Second, most research fields related to research data were focused on library and information science among complex studies. Third, as a result of frequency analysis of author keywords related to research data, 'research data management', 'research data sharing', 'data repository', and 'open science' were analyzed as major frequent keywords, so research data-related research focuses on the above keywords. The keyword network analysis results also showed that high-frequency keywords occupy a central position in degree centrality and betweenness centrality and are located as core keywords in related studies. Through the results of this study, we were able to identify trends related to recent research data and identify areas that require intensive research in the future.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.5
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• pp.1192-1204
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• 2013

This study aims to analyze the trend of study related to infant multicultural education, targeting the theses carried on Korean journals articles KCI journal and preliminary KCI journal from 2001 to 2012, and to provide analysis results as the basic data for execution of multicultural education. To achieve such goal of study, I analyzed the study trend of infant multicultural education studies carried in Korean journals per year, research subjects, research objects and research methods. As a result of this study, first, the number of studies related to infant multicultural education carried in Korean journals articles from 2001 to 2012 was a total of 190 pieces; for year, 27 pieces in 2008, 23 pieces in 2009, 40 pieces in 2010, 46 pieces in 2011 and 36 pieces in 2012, totaling 172 pieces corresponding to 90.5% of the entire thesis. This means that the number of study thesis began to increase substantially from 2008, meaning increased necessity of multicultural education in the field of child education. Second, as a result of analyzing the study trend per research subjects, research subjects was found in the order of 'beliefs recognition attitudes efficacy'(60 pieces), 'child development and adaptation'(48 pieces), 'programs and scale development'(28 pieces). Third, as a result of analyzing the study trend per objects of research, research objects was found in the order of 'teacher'(75 pieces), 'child'(67 pieces), 'literature'(43 pieces). And lastly, as a result of analyzing the study trend per research methods, research methods was found in the order of 'quantitative research'(112 pieces), 'literature research'(57 pieces), 'qualitative research'(31 pieces).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2631-2638
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• 2013

In this study, to understand the technology development trend of super-speed maglev, the patents applied by major countries are analyzed. And based on the analyzed results, the domestic technology development direction are suggested. For patent analysis, the major technologies for super-speed maglev are classified into 14 parts. Then, through the quantitative analysis method such as number, increase rate and share rate, the overview of technology development and focused parts by each country are investigated. Also through the qualitative analysis method such as concentration degree, citation index and market share index, the technology level and market securing ability of each country are anticipated. Considering the analyzed results and technology development trend, the domestic technology development direction such as priority development fields and methods are proposed.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.987-994
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• 2014

The purpose of this research is to propose employee uniforms for tourist hotels on Jeju Island, such uniforms that embrace Jeju's unique culture and promote the tourism of Jeju Island. It has been suggested that there exists a need for hotel employee uniforms to attract more tourist attention and boost Jeju's tourism industry. We designed the uniform after analyzing the empirical data collected from academia thesis, periodicals, papers and pictures from internet search, and fashion industry magazines. The uniform analysis and production procedures are as follows: (1) precedent research case review (2) current (existing) uniform status survey (3) latest fashion trend analysis (2010 - 2014) (4) creating the uniform implementing the trend-based design with Gal Cheon, Jeju's cultural product material. We found tipping points of the design through literature and trend analysis; we developed appropriate uniforms accordingly that are harmonious with Jeju's unique identity. We received great evaluations on the appearance and comfort as well. A new concept of uniform featuring Gal Cheon has been proposed. It is expected that the uniforms will promote the brand image of Jeju as an international freedom city and its culture.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.151-158
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• 2019

This study aimed to analyze the research trend related on obesity in physical education in Korea through the keyword network analysis and to establish a basic database for effective design of prospective studies. To achieve it the study crawled co-occured keywords with 'obesity' and 'physical education' from RISS and analyzed the list from 1990 to 2018. They include 25 journal papers and 38 dissertations. The results are as follows. First, recent 30 years 63 papers published in Korea with 'Obesity' and 'Physical Education', and there were 144 related keywords. Second, analyzing journals which have 'Obesity' and 'Physical Education', co-occured keywords in 4 centrality were 24 keywords(student, Korea, prevention, effect, level, body, activation, actual condition, lesson, child, investigation, participation, book, cause, activity, normal, degree, nutrition, physical strength, weight, elementary, light, inquiry, health), and 37 keyword occurred in top 30. Lastly, by CONCOR analysis the result could be divided into 2 clusters. One consists of the object of obesity and its invervention, and the other consists of negative keywords of obesity and its preliminery dimenstion. Through the result, this study showed the research trend which involves the concept of obesity in physical education in Korea. Through the result, prospective obesity research in physical education in Korea would be promoted.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.367-376
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• 2020

According to recent statistics on new consumer market trends, 'alone consumption' is at the center. This study focuses on the social big data that attracts the public's opinions in that it is important for a certain social trend to comprehensively understand the various fields such as society, locality, culture, marketing, economics, and psychology that form the background for it. Therefore, we set up the linkage of 'solo consumption' and conducted research on new consumer market trends using Opinion Analisys. As a result of this trend analysis, representative keywords such as 'honbab', 'honsul' and 'honyoeng' were derived and analyzed the trend of new consumer market using this data. Alone consumption is an inevitable new consumption trend caused by demographic change after the global economic crisis. The importance as a trend reflecting this will be further strengthened. Trend analysis by social big data will help scientific and systematic business distribution strategies and planning to help make new and valuable decisions and decisions about new consumer markets.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.423-432
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• 2022

This paper analyzes a total of 10,599 papers related to COVID-19 from January 2020 to July 2022 collected from the KCI site using LDA topic modeling so that academic researchers can understand the overall research trend. The results of LDA topic modeling are analyzed by major research categories so that academic researchers can easily figure out topics in their research fields. Then, the detailed research category information in which a lot of research is done by topic is analyzed. It is very important for academic researchers to understand the trend of research topics over time. Therefore, in this paper, the trend of topics is analyzed and presented using time series decomposition.

• Earthquakes and Structures
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• v.25 no.5
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• pp.369-383
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• 2023

Seismic resilience (SR) plays a vital role in evaluating and improving performance losses along with saving repair costs of structures from potential earthquakes. To further explore the developments, hotspots, and trend directions of SR, a total of 901 articles are obtained from the Web of Science (WoS) database. CiteSpace software is used to conduct a bibliometric analysis, which indicates an upward trend of publications in SR and explores the relationship of countries, journals, cited references, and keywords based on visual maps and detailed tables. Then, based on the results of the bibliometric analysis, a state-of-the-art review is conducted to further explore the current challenges and trend directions of SR. The trend directions can be divided into five categories: (a) SR assessments of infrastructure structures, (b) multi-hazard quantifications of SR, (c) seismic resilient structures, (d) refining and calibrating analytical models, and (e) multi-criteria decision-making frameworks for sustainability and SR.

• Journal of the Korean housing association
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• v.16 no.1
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• pp.55-63
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• 2005

The purpose of this study is to find a way of solving on parking problems at apartment complex through the trend analysis research of the parking demands according to the housing unit size. The subjects of this study are high-rise apartment complexes in Daegu city which are constructed within 10 years. The parking demand according to the housing unit size at apartment complexes had been surveyed every July for 4 years from 2000 to 2003. Specially, we knew that the parking demand of $85 m^2$ below sized housing unit at apartment complex was exceeded architectural regulation of parking supply, and the parking demand of $85 m^2$ over sized housing unit at apartment complex was kept within architectural regulation of parking supply. And, the estimating formula that can predict the future parking demand by the trend analysis according to the housing unit size at apartment complexes in Daegu city was gotten through this study. But, in order to get more accurate estimating formula, it should be based on data of funker research and investigation about apartment complexes and it should be studied continuously.