• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.38-46
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• 2015

The purpose of this study was to identify the research trend through content analysis of the previous researches on wayfinding issues in the field of spatial design in Korea. Total 91 research articles published in domestic academic journals from 1991 to 2015 were collected through the online search and analyzed using descriptive statistics. As conceptual framework for content analysis, research article publication year, academic field based on journal title, research methodology, target space for analysis, and type of research purpose were included. The major findings were as follows. Substantially, wayfinding research in Korea was begun in 1990s and was peaked in the latter half of 2010s. Healthcare facilities including hospitals and nursing homes were most frequently analyzed as target space, i.e., research subject. Majority of the researches analyzed were published in the diverse journals of design area. In many cases, qualitative research methods such as spatial construction analysis using Space Syntax, field study, observation, interview, etc were used by the researchers frequently. It was found that the majority of researchers focused on behavioral and psychological response of space users in the process of wayfinding. For further study, it is recommended to extend the scope of analysis to sign system which support effective wayfinding. In addition, foreign academic journal articles should be included for in-depth analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7957-7963
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• 2015

R&D trend for Auxiliary Power Supply(APU) of electric vehicle can be well understood by analyzing patents at home and abroad. Based on this trend analysis, domestic technology development direction is proposed. To get technique trend, patents of Korea, Japan, Europe and America published until February of 2014 are analyzed by WIPS DB. First, power converter and transformer two big category are classified. Power converter can be classified into resonant DC to DC converter and resonant Half bridge inverter; transformer can be classified into high frequency transformer, ferrite transformer and matching transformer. By analyzing R&D trend of different counties, companies and years, specific technology needed to be developed and trend of technology can be accurately grasped.

• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.11-24
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• 1995

The new textile materials may be defined as textile materials different from already existing ones in the physical and chemical structure, manufacturing process, or end-use property. The present time what is called the post-industrial society is characterized by rapid change and new technology. Also, textile materials have been changed rapidly and diversely in the post-industrial society than in any other periods. The study aimed to analyze the trend of new tektite materials development in Korea and to forecast the development trend in the future. To investigate the trend of new textile materials, various written materials and informations were collected from the manufacturers, textile related periodicals, and research journals, and they were analyzed. The period of analysis was from January 1992 to May 1995. The results of this research are as followings : (1) Mixed textile materiasl such as bicomponent fiber, blended yam and blended fabric were increased. (2) High technology has an important effect upon new textile material development. (3) functional textile materials were increased (4) The high value-added products were increased. (5) The naturalized textile materials were increased.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.1-12
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• 2016

This study examines academic research trends and the change of patterns by analyzing researches related to hospital management registered in Korea Citation Index(KCI) from 2010 to 2014 and offers basic information for interests and future research demands in the field of hospital management As research subjects, a total of 694 published articles were selected. It's to analyze them by dividing into research topics, methods and author's characteristics, and to present them by classifying the period into 2010-2011, 2012-2013, 3rd quarter of 2014 since there was no significant difference in the result between adjacent years. As a result, Korean Journal of Hospital Management has accounted for the highest published rate year after year. In the research topic analysis, it showed a decreasing trend in these research topics as medical marketing and patient satisfaction which became the biggest issue in 2010-2011 significantly were lower in 2014, but an increasing trend in job satisfaction, job stress, labor administration and workforce productivity. The most frequently cited keywords were hospital employees, job satisfaction, organizational commitment, job stress, turnover intention. According to the research method analysis, the survey was the most popular method for data collection. However, Interview and medical records as data sources showed a decline trend. As analysis methods, multivariate analysis of quantitative methods was most used. Finally, as a result of analyzing main author's characteristics, the ratio of the authors belonging to health administration and nursing departments of the academic world increased gradually. In the regional distribution, organizations in Seoul are most common, those in Daegu Gyeongbuk areas, foreign organizations showed a tendency to decrease. This is the first study to examine the annual trend on hospital management-related research issues among articles published in domestic journal and we found qualitative and quantitative advances in hospital management research filed.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.55-65
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• 2023

In this paper, we apply KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) algorithm-driven topic extraction and topic frequency analysis to deep learning and reinforcement learning research to discover the rapidly changing trends in them. First, we crawled abstracts of research papers on deep learning and reinforcement learning, and temporally divided them into two groups. After pre-processing the crawled data, we extracted topics using KeyBERT algorithm, and then analyzed the extracted topics in terms of topic occurrence frequency. This analysis reveals that there are distinct trends in research work of all analyzed algorithms and applications, and we can clearly tell which topics are gaining more interest. The analysis also proves the effectiveness of the utilized topic extraction and topic frequency analysis in research trend analysis, and this trend analysis scheme is expected to be used for research trend analysis in other research fields. In addition, the analysis can provide insight into how deep learning will evolve in the near future, and provide guidance for select research topics and methodologies by informing researchers of research topics and methodologies which are recently attracting attention.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.701-707
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• 2010

Objective: The aim of this study is to investigate the attributing factors influencing major research areas of the papers published in the journal of Ergonomics Society of Korea (JESK). Background: Ergonomics has a wide range of research areas. Diversity of research topic is one of the major strong points of this discipline especially in the era of fusion. Dominant areas among the diversity changed from time to time. It is interesting to know the attributing factors of the dominant areas. Method: During the past three decades JESK has published 649 articles. As an editor of the JESK, I reviewed these papers and sorted them into the detailed research fields of ergonomics; (1) technical group (TG) s of the Human Factors and Ergonomics Society (HFES), (2) editing groups of the journal of Ergonomics Abstracts and (3) TGs of the Ergonomics Society of Korea (ESK). I also listed major events which might affect the publication trend. Results: Anthropometry was the most dominant area all the time. Health and safety area has been steadily increasing publication amount. Conclusion: Government research funding was the main attributing factor determining the publication trend of the JESK. Application: The results of the publishing trend analysis might help to determine the editing policy of the JESK.

• Journal of Creative Information Culture
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• v.6 no.1
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• pp.23-30
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• 2020

This study used the text mining method to analyze the research trend of the Journal of Creative Information Culture(JCIC) which is the journal of convergence. The existing research trend analysis method has a limitation in that the researcher's personality is reflected using the traditional content analysis method. In order to complement the limitations of existing research trend analysis, this study used topic modeling. The English abstract of the paper was analyzed from 2015 to 2019 of the JCIC. As a result, the word that appeared most in the JCIC was "education," and eight research topics were drawn. The derived subjects were analyzed by educational subject, educational evaluation, learner's competence, software education and maker culture, information education and computer education, future education, creativity, teaching and learning methods. This study is meaningful in that it analyzes the research trend of the JCIC using text mining.

• Journal of Hydrogen and New Energy
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• v.19 no.1
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• pp.90-102
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• 2008

Hydrogen storage is widely recognized as a critical enabling technology for the successful commercialization. There are a few different approaches for hydrogen storage technology. In this paper, characteristics of hydrogen storage technologies were analyzed from the literature survey. Also, The technology trend of hydrogen production was scrutinized based on patent analysis. In patent analysis the search range was limited to the open patents issued from 1996 to 2006. The technology trend of hydrogen storage was assessed by classifying each patent based on the publishing year, country, and the type of storage technology.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.201-204
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• 2000

It seems that the \"fuzzy boom\" which began with its applications has calmed down and fallen into decay at least in Korea. But many foreign researchers say the research related to fuzzy theory has been only running its right course. In this paper, we discuss the trend and direction of reaserch related to fuzzy theory. The search trend is obtained through the analysis of the papers of the latest 10years papers in the journals of three societies: KFIS, SOFT and IFSA.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.4
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• pp.415-420
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• 2010

"Journal of the Korean Society of Marine Environment & Safety" is representative scientific journal about ocean environment and ocean safety in Korea. This study analyzed research trend of "Journal of the Korean Society of Marine Environment & Safety" through review of articles published in the journals for 10 years tram 2000 to 2009. On the basis of the pursuit of learning and academic constitution of "The Korean Society of Marine Environment & Safety", criteria items of analysis for research trend such as authors institution of employment, region of authors' institution, form of participation in research, article's educational nature, article's method of study, article's area of study, etc. were set up and applied to 310 research articles published in "Journal of the Korean Society of Marine Environment & Safety" for 10 years.