• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.295-301
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• 2019

Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

• Research in Mathematical Education
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• v.24 no.4
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• pp.313-335
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• 2021

The purpose of this research is to identify topics discussed by Korean mathematics education studies and examine research trends for 15 years. I applied latent Dirichlet allocation (LDA) to the original text datasets including English abstracts of 3,157 articles published in eight journals indexed by the Korean Citation Index (KCI) from 1997 to 2019. I identified an LDA model with 60 topics, then research trends in 2,884 articles between 2002 and 2018 were as follows; mathematics educators have paid most attention to teacher education through 2010 to 2015 and curriculum analysis after 2016. The findings in this research can contribute to understand what have been discussed in Korean mathematics education society as well as what will and need to be emphasized more in the future compared to the global research trends. In addition, LDA has potentials to identify topics and keywords of manuscripts newly written and submitted to any journals in addition to information provided by authors.

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.19-35
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• 2022

Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.345-362
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• 2023

As the widespread adoption and proliferation of electric vehicles continue, the secondary battery market is experiencing rapid growth. However, lithium-ion batteries, which constitute a majority of secondary batteries, present high risks of fire and explosion. Solid-state batteries are thus garnering attention as the next-generation batteries since they eliminate fire hazards and significantly reduce the risk of explosions. Against this background, the study aimed to analyze research trends and provide insights by examining 2,927 domestic papers related to solid-state batteries over the past decade (2013-2022). Specifically, we used topic modeling to extract major keywords associated with solid-state batteries research and to explore the network characteristics across major topics. The changes in research on solid-state batteries were analyzed in-depth by calculating topic dominance by year. The findings provide an overview of the emerging trends in domestic solid-state battery research, and might serve as a valuable reference in shaping long-term research directions.

• Journal of the Korean Society of Costume
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• v.57 no.4 s.113
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• pp.110-125
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• 2007

The purpose of this study is to analyze efforts of the mesa trends on the modern fashion design. For the study documentary research and qualitative content analysis have been carried out. Articles in magazines, seminar reports, and news related to trends were collected and analyzed to develop mega trends nowadays. As results, $2002{\sim}2006$ mega trends were extracted to Co-divergence, Emotional tech, Bi-dentity, Private+One and $2002{\sim}2006$ design trends extracted to Camouflage, Transformation, Modular system, Blur, Ease. The influences of mega trends and design trends on the modern fashion design have been proved. Those were expressed as eclectic style, deconstructionist style, reductive style and functionalist style in fashion design. The present era could be defined as cultural pluralism blended with various cultures and styles. Fashion as the essential display of contemporary culture and society has been successfully confirmed in this study.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.201-223
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• 2016

As a type of humanities discipline, information user studies tend to have influence and applicability on the related research fields. However, research trends and status of the user studies in Korea have not been extensively explored and thus resulted in limited sharing of the research outcomes. In this research, all papers related to the information user studies were selected from 5,392 articles reported in the five Korean Library and Information Science Journals. The chosen papers were classified according to the subject categories then qualitatively analyzed in terms of research productivity and trends. Library was the main theme of the information user studies. A number of suggestions were generated to apply the information user studies outcomes in solving academic as well as wider societal problems.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.119-135
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• 2017

Information behavior is an important area of research in library and information science (LIS) that has evolved over the last 75 years. The aim of this study is to investigate the recent trends of information behavior research by providing insights into emerging topical areas within information behavior. To conduct this study, the bibliographic data from Scopus was used, and the trends of information behavior were traced by using variations of key terms used in information behavior research, such as "information behavior", "information seeking behavior", and "information needs." In addition, the trends were analyzed in terms of content words in the title, highly cited journal articles, disciplinary categories, and author keywords. Information behavior research has its roots in LIS, but the findings of the study reveal that information behavior has expanded to other disciplines by intersecting a variety of topical areas. In particular, this study showed that information behavior in the health/medicine domain has become a predominant emerging topical area of research. In order to enhance our understanding of complex human behavior, future research should focus more on interdisciplinary aspects by measuring the scope of information behavior.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.128-139
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• 2020

The purpose The purpose of this study was to compare and observe research trends of sex education for young children·elementary school students·middle school students, provide base material for research on sex education, and present research prospects and tasks for the future. For this, 30 theses from Korean journals related to sex education for young children·elementary school students·middle school students from years 2000 to 2019 were extracted and analysis was conducted on the general trends (by research period and by academic field) of sex education and they were categorized by research topic, by research subject, and by research method. Research results showed that, with research period, research increased in the mid-2000s and with journal trends by research subject, and was published in 24 journals. Second, with regard to research topic aspects, most studies looked into 'sex education perceptions and conditions' and research dealing with 'gender concept development' and 'program development and teaching method strategies' also increased. Third, in terms of the research subjects, there were 9 papers for children, 6 papers for elementary students, 14 papers for middle school students, 2 for high school students, and 9 papers for teachers and parents. Fourth, with trends according to research methods, the quantitative research method of 'questionnaires' was used most and following were 'literary studies' and 'interviews', in that order. Reflecting these research results, discussions were presented and proposals for future studies were made.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.45-54
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• 2020

The cloud computing industry has focused on establishing a cloud-based business environment for enterprises with efforts to convert using their own on-premise computing infrastructures to using cloud services. With these efforts, using cloud services has become natural, especially for the IT industry. The cloud computing industry is moving toward proliferation of the cloud computing environment into various evolving industries. Along with industrial trends, new technical trends such as edge computing and multi-cloud are emerging. These trends are expected to create new business models and develop related service ecosystems, providing new opportunities for service providers and new experiences for users. A mong those emerging technologies, multi-cloud technology is expected to realize unlimited global cloud computing resources by unifying cloud resources from multiple public cloud service providers. In this paper, we introduce the concept and related trends of multi-cloud technology. Subsequently, we analyze the main functionalities and several use cases of multi-cloud technology. Finally, we summarize the effects and usefulness of multi-cloud technology in the domestic cloud industry.

• Electronics and Telecommunications Trends
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• v.34 no.5
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• pp.71-80
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• 2019

Gallium nitride (GaN) can be used in high-voltage, high-power-density/-power, and high-speed devices owing to its characteristics of wide bandgap, high carrier concentration, and high electron mobility/saturation velocity. In this study, we investigate the technology trends for X-/Ku-band GaN RF power devices and MMIC power amplifiers, focusing on gate-length scaling, channel structure, and power density for GaN RF power devices and output power level and output power density for GaN MMIC power amplifiers. Additionally, we review the technology trends in gallium arsenide (GaAs) RF power devices and MMIC power amplifiers and analyze the technology trends in RF power devices and MMIC power amplifiers based on both GaAs and GaN. Furthermore, we discuss the current direction of national research by examining the national and international technology trends with respect to X-/Ku-band power devices and MMIC power amplifiers.