• Title/Summary/Keyword: Trends of research

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Analysis of Research Trends in Homomorphic Encryption Using Bibliometric Analysis (서지통계학적 분석을 이용한 동형 암호의 연구경향 분석)

  • Akihiko Yamada;Eunsang Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.4
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    • pp.601-608
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    • 2023
  • Homomorphic encryption is a promising technology that has been extensively researched in recent years. It allows computations to be performed on encrypted data, without the need to decrypt it. In this paper, we perform bibliometric analysis to objectively and quantitatively analyze the research trends of homomorphic encryption technology using 6,047 homomorphic encryption papers from the Scopus database. Specifically, we analyze the number of papers by year, keyword co-occurrence, topic clustering, changes in related keywords over time, and country of homomorphic encryption research institutions. Our analysis results provide strategic directions for research and application of homomorphic encryption and can be a great help for subsequent research and industrial applications.

Text-Mining Analysis of Korea Government R&D Trends in Construction Machinery Domains (텍스트 마이닝을 통한 건설기계분야 국내 정부 R&D 연구동향 분석)

  • Bom Yun;Joonsoo Bae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.spc
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    • pp.1-8
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    • 2023
  • To investigate the national science and technology policy direction in the field of construction machinery, an analysis was conducted on projects selected as national research and development (R&D) initiatives by the government. Assuming that the project titles contain key keywords, text mining was employed to substantiate this assumption. Project information data spanning nine years from 2014 to 2022 was collected through the National Science & Technology Information Service (NTIS). To observe changes over time, the years were divided into three-year sections. To analyze research trends efficiently, keywords were categorized into groups: 'equipment,' 'smart,' and 'eco-friendly.' Based on the collected data, keyword frequency analysis, N-gram analysis, and topic modeling were performed. The research findings indicate that domestic government R&D in the construction machinery field primarily focuses on smart-related research and development. Specifically, investments in monitoring systems and autonomous operation technologies are increasing. This study holds significance in analyzing objective research trends through the utilization of big data analysis techniques and is expected to contribute to future research and development planning, strategic formulation, and project management.

Analysis of Research Trends in the Welfare Field of Public Administration (행정학에서 복지분야의 연구경향 분석 : 한국행정학보와 한국정책학회보에 게재된(1978년~2012년) 논문을 중심으로)

  • Ryu, Sang-Il;Hyun, Taik-Soo
    • The Journal of the Korea Contents Association
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    • v.13 no.2
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    • pp.254-262
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    • 2013
  • The purpose of this study is to examine recent trends in the welfare field of Public Administration. Research trends in the welfare field of Public Administration show that welfare-related research has rapidly and quantitatively expanded since 2000 and there were many studies using theories. In addition, it has been discovered that there have been many welfare-related and government centered studies that used empirical (statistical) analysis. On the other hand, the centrality of research keywords was analyzed by using language network methodology. "welfare" was set as the central axis and "Policy", "deciding factor", "ideology" were set as a small central axis. The research keywords, such as "OECD", "elderly", "local government", "service", "nation", "regions", "administration", "satisfaction", "women", "market","budget"were influencing.

Recent Trends in High-Speed and Virtualized Optical Access Technologies (광액세스 고속화 및 가상화 기술 동향)

  • Chung, HwanSeok;Ra, YongWook;Park, Chansung;Lee, Joon Ki
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.57-68
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    • 2020
  • This paper reviews the recent trends in optical access technologies and their future directions. As the number of hyper-connected, ultra-low-latency, and hyper-realistic services increases, the wireless path has become shorter and the optical access network has become deeply penetrated into the end user. The optical access network continues to evolve through endless innovation via high-speed, ultra-low-latency, and abstraction/virtualization technologies.

Trends in Industrial Measurement Technologies (산업용 계측 기술 동향)

  • Oh, K.J.;Lim, Y.;Choo, H.G.
    • Electronics and Telecommunications Trends
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    • v.36 no.4
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    • pp.103-109
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    • 2021
  • Industrial measurement technologies are essential in the semiconductor and display fields, which are our flagship industries. These technologies are also critical to the future rechargeable battery industry and smart factories. Although existing industrial measurement technologies have been developed primarily for 2D measurement, the demand for 3D measurement technology is increasing gradually in the era of the Fourth Industrial Revolution. In this paper, to understand the trends in industrial measurement technologies, we introduce various industrial measurement fields and representative technologies.

Comparison of Research Trends in KODISA Directly Managed Journals Using Keyword Analysis

  • YANG, Hoe-Chang;YANG, Woo-Ryeong
    • Journal of Research and Publication Ethics
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    • v.2 no.1
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    • pp.19-24
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    • 2021
  • Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

Current Research Trends and Present Conditions on Visual Transformation of Digital Text (디지털텍스트의 시각적 변형에 관한 연구 동향 및 실태 분석)

  • Jin, Sung-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.486-497
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    • 2010
  • The purpose of this study is to investigate the research trends and the present conditions of real digital texts on "Visual Transformation." For the purpose of this study adopted two different methods: meta analysis and case study. The research trends on visual transformation of digital text were investigated through analyzing the total of 167 literature by means of synthetic meta analysis. Relevant literature was categorized into three types of research: functional, dynamic, and interactional transformation. The type of literature and research methods in each literature were analyzed. The present conditions of real digital texts on visual transformation were investigated by means of case study. The well designed 12 e-learning contents selected and analyzed in terms of the analysis framework which was drawn by the research trends. The results suggested problems as follows in designing e-learning contents. Firstly, there were some cases that did not follow the basic design principles related to typography. Secondly, the content was just provided in each learning steps without consideration of design to enhance text comprehension in many cases. Thirdly, web technology adequately was not applied to design e-learning contents.

Exploring Fashion Trends Using Network Analysis (사회연결망 분석을 활용한 패션 트렌드 고찰)

  • Park, Jisoo;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.5
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

An Analysis of the International Trends of Research on Artificial Intelligence in Education Using Topic Modeling (인공지능 활용 교육의 토픽모델링 분석을 통한 수학교육 연구 방향의 함의)

  • Noh, Jihwa;Ko, Ho Kyoung;Kim, Byeongsoo;Huh, Nan
    • Journal of the Korean School Mathematics Society
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    • v.26 no.1
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    • pp.1-19
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    • 2023
  • This study analyzed the international trends of research concerning artificial intelligence in education by examining 352 papers recently published in the International Journal of Artificial Intelligence in Education(IJAIED) with the topic modeling method. The IJAIED is the official, SCOPUS-indexed journal of the International AIED Society. The analysis revealed that international AIED research trends could be categorized into eight topics with topics such as analyzing student behavior model in learning systems and designing feedback to student solutions being increased over time, whereas research focusing on data handling methods was decreased over time. Based on the findings implications and suggestions for the research and development of the applications of AIED were provided.

A Study on the Research Trends of Records and Archives Management in Korea through an Analysis of Journal Articles (국내 기록관리학 분야 학회지 논문 분석을 통한 연구동향 연구)

  • Kim, Gyu-Hwan;Nam, Young-Joon
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.4
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    • pp.217-239
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    • 2009
  • This study presents the research trends of Records and Archives Management in Korea by analyzing the articles of the Records and Archives Management in Korea according to subjects, issue periods, journals and researchers. For the study, 374 articles from 3 academic journals published between 1999 and 2009 were analyzed. As a result, several research trends in this field were discovered. The summary of the study is as follows: Firstly, it has been proven that the productivity of the articles of Records and Archives Management in Korea increases as time goes by. Secondly, there are differences in the subject fields among journals in Records and Archives Management. Thirdly, there are differences in the subject fields among researchers' institutions. Fourthly, there are no differences in the subject fields among researchers' specialized areas.