• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.308-321
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• 2021

The purpose of this study was to analyze domestic research trends over the past 20 years and future direction of forest ecology using text mining. A total of 1,015 academic papers and keywords data related to forest ecology were collected by the "Research and Information Service Section" and analyzed using big data analysis programs, such as Textom and UCINET. From the results of word frequency and N-gram analyses, we found domestic studies on forest ecology rapidly increased since 2011. The most common research topic was "species diversity" over the past 20 years and "climate change" became a major topic since 2011. Based on CONCOR analysis, study subjects were grouped intoeight categories, such as "species diversity," "environmental policy," "climate change," "management," "plant taxonomy," "habitat suitability index," "vascular plants," and "recreation and welfare." Consequently, species diversity and climate change will remain important topics in the future and diversifying and expanding domestic research topics following global research trendsis necessary.

• The Mathematical Education
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• v.49 no.1
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• pp.67-83
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• 2010

The purpose of this study was to analyze the research trends of elementary mathematics education with regard to the topics, methods, subjects, and mathematical contents of such research. For this purpose, the papers published in domestic journals during the recent 5 years (2004-2009) were analyzed. A total of 383 papers from 8 professional journals were analyzed with the 4 criteria. First, the frequent research topics included instructional design and methods, learners' perspectives and abilities, and analysis of curriculum and textbooks in order. Second, qualitative research methodology was used twice as many as quantitative one. Whereas a survey was the most frequent quantitative research method, content analysis and case study were for qualitative methods. Third, research subjects included mainly typical students, specifically fifth and sixth graders. Papers dealing with lower graders or low-achievers as well as pre-service teachers were rare. Lastly, whereas the research on geometry as well as number and operations was active, that of measurement as well as probability and statistics was not. On the basis of these results, this paper includes several implications for the future research direction in elementary mathematics education.

• Journal of Engineering Education Research
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• v.23 no.2
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• pp.31-42
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• 2020

This study aims to analyze the research trends of female engineering students focused on domestic research and to suggest implications for future researches. For this purpose, 67 domestic researches (academic articles & graduate theses) which were published since 1996 were collected using the academic research information service and the National Assembly Library search service. All of these 67 researches have been reviewed and classified according to analytical criteria such as publication year, research method, journal's research field and research subjects. Our findings show that firstly, related research on female engineering students has been growing since 1996. Secondly, there were more researches of both academic journals and graduate theses, using quantitative method compared to those with the other research methods. Thirdly, the research themes could be classified as follows: gender-awareness, female engineering students'(hereafter, FES) psychological variables, customized education for FES, career related variables, FES's properties and counselling for them. Fourth, regarding the result of analysis on the research topic, 41.79% of the researches were related to FES's 'career' related factors as well as diverse correlates. Based on these findings, it is necessary to continue studying on FES using various research methods as well as adopting different research perspectives. Also, practical and educational treatments for FES are required with particular attention to their individual variables.

• Electronics and Telecommunications Trends
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• v.38 no.1
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• pp.1-8
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• 2023

In this research, policies, and technology trends associated with quantum computers were examined, and through this, implications for domestic methods were derived. It is not a guarantee that developing quantum computing technology suited for domestic use would be successful to emulate the success stories of technology-leading nations. Technology leaders like the United States, China, and Europe are putting together strategic technology blocks to compete for technological hegemony. Adapting to and exploiting this trend will help us develop future technologies and secure market competitiveness. The dominant technology in the area of quantum computing has not yet been established. In the future, there will be fair competition in every specific technology area. At this point, it may be claimed that making audacious decisions will still lead to technological superiority.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.9 no.1
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• pp.55-65
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• 2014

Objectives : The purpose of this review is to investigate the trends of traditional korean medicine treatments on frozen shoulder. Methods : We investigated the studies on traditional korean medicine treatments for frozen shoulder via searching 6 Korean web databases. As a result, 32 research papers were found to be analyzed according to their published year, the titles of journals, published institution, the types of study, the number of cases, the types of treatments, the instruments for assessment and ethical approvals. Results : 32 papers were published since 1989. The studies on traditional korean medicine treatments about frozen shoulder were mainly published in The journal of korean acupuncture & moxibustion medicine. 10 case series, 7 reviews, 6 non-randomized controlled trials, 5 randomized controlled trials and 4 case reports had been under research. In most of the research, the number of the cases were not enough. In 15 cases of the studies, various traditional korean medicine treatments were used to treat the symptoms. In 8 cases of the studies, one method was used to treat the symptoms. Range of motion(ROM) and visual analogue scale(VAS) were used as primary assessments. Among the 25 clinical studies, 5 of them were accepted by institutional review board(IRB). Conclusion : In this study, we analyzed the trends of traditional korean medicine treatments on frozen shoulder. Reviewing the domestic trends of studies on traditional korean medicine treatments for frozen shoulder and examining the strong and weak points of those treatments are essential for the future studies.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.453-459
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• 2022

This study attempted to explore the realization and research direction of a successful metaverse environment in the future by analyzing international research trends of the metaverse using topic modeling. A total of 208 papers among WoS and ScienceDirect papers using metaverse as keywords were selected, and quantitative frequency analysis and topic modeling were performed. As a result, it was confirmed that research has rapidly increased after 2022. The main keywords of the research topics were 'second', 'life', 'learning', 'reality', 'metaverse', 'virtual', 'blockchain', 'nft', 'medical', 'avatar', etc. The topic keywords 'Second life & Education' and 'Virtual Reality & Medical' accounted for a large proportion of 57%, followed by 'Blockchain & Cryptocurrency', 'Avatar & Interaction', and 'Sensing and Device'. As a result of semantic analysis, current metaverse research is focused on application and utilization, and research on underlying technologies and devices is also active. Therefore, it is necessary to identify the commonalities and differences between domestic and foreign studies, and to study the application method considering the domestic environment. In addition, new jurisprudence research is more necessary along with predicting new problems. It is expected that the results of study will provide the right research direction for domestic researchers in the era of digital transformation and contribute to the realization of a digital society.

• Korean Journal of Childcare and Education
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• v.14 no.5
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• pp.85-99
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• 2018

Objective: This purpose of this study was to analyze articles and research trends in children's free-choice activities in major domestic journals published from 1998 to 2017. Methods: Registered research papers in academic journals from 1998 to 2017 for the National Research Foundation of Korea were analyzed in terms of trends in their annual submission numbers, research subject, research type, research area. and research theme. Results: The quantity of the studies has more than doubled since 2010 but has decreased in recent years. Studies about free-choice activities for young children held the majority of research subjects while physical subjects such as literature, class, and education plans were in the minority. Furthermore, qualitative research, fusion qualitative, and survey were the most common research types while literature review studies were less common. Most research themes were studies about contemplation, actual conditions and perception, factor analysis, and programs of free-choice activities for young children. Conclusion/Implications: Considering the results of this study, further studies on free-choice activities for young children must be conducted.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.141-157
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• 2021

In this study, we aimed to understand research trends of domestic artificial intelligence research. To achieve the goal, we applied network analysis and dynamic topic modeling to domestic research papers on artificial intelligence. Among the papers that have been indexed in KCI (Korean Journal of Citation Index) by 2020, metadata and abstracts of 2,552 papers where the titles or indexed keywords include 'artificial intelligence' both in Korean and English were collected. Keyword, affiliation, subject field, and abstract were extracted and preprocessed for further analyses. We identified main keywords in the field by analyzing keyword co-occurrence networks as well as the degree and characteristics of research collaboration between domestic and foreign institutions and between industry and university by analyzing institutional collaboration networks. Dynamic topic modeling was performed on 1845 abstracts written in Korean, and 13 topics were obtained from the labeling process. This study broadens the understanding of domestic artificial intelligence research by identifying research trends through dynamic topic modeling from abstracts as well as the degree and characteristics of research collaboration through institutional collaboration networks from author affiliation information. In addition, the results of this study can be used by governmental institutions for making policies in accordance with artificial intelligence era.

• Human Ecology Research
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• v.61 no.4
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• pp.635-645
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• 2023

This study examined the trends of domestic academic research on children of divorced families by classifying them by period, method, target, and subject. From 2000 to 2022, 105 papers published in 58 journals were surveyed. In terms of research methods, quantitative research was conducted using questionnaires and panel data. The subjects of the reviewed studies were mainly elementary school children, and there were many studies on both divorced single mother and child families as well as divorced single father and child families. By analyzing the core subjects of the study, papers related to children's personal adaptation accounted for the largest proportion, followed by problematic behaviors, psychological difficulties, such as depression and stress, and relationships. In conclusion, due to the high divorce rate in Korea there is a need to focus academic attention on the children of divorced families. To this end, it is necessary to study the adaptation and protection factors of the children of divorced families. More qualitative research should be conducted on children of divorced families of various ages, not just elementary school students.

• Proceedings of the KSLP Conference
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• 2003.11a
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• pp.208-211
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• 2003

This paper introduces a history and achievements of the research activities on screening of laryngeal diseases using acoustic analysis. First domestic and international research trends are introduced. Next brief introduction of the research results by the authors are mentioned. First, classification method of the laryngeal diseases using neural network is summarized. Then similar research using ARS (Automatic Response System) is mentioned. Finally, current research activities on screening of laryngeal diseases on internet is introduced.