• Title/Summary/Keyword: Keyword Trends

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Analysis of Empathy-Related Research Trends in Social Selfare Studies (사회복지학문 분야에서 공감 관련 연구동향 분석)

  • Kweon, Sin-Jung;Kim, Kangmin
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.544-553
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    • 2020
  • This study was intended to examine the academic role of social welfare by analysis the trends of empathic research in the field of social welfare studies in Korea, and to explore the direction and tasks to move forward. For this purpose, technical analysis and language network analysis were performed based on the category system and the frequency of simultaneous language presentation by selecting academic papers related to empathy in the field of social welfare studies in Korea from 2000 to June 2020. According to the analysis, the number of empathic studies in the social welfare field has increased steadily since 2000, and the number of studies in the last three years has increased significantly, and the research field has been mainly in the "social welfare general" category. In terms of research, the most common research was related to empathy and the relationship between other variables, while quantitative research was the most important method used in the research. As empathic-related research increase in social welfare studies, such research results require efforts such as expansion of research field and research contents and attempts of various research methods.

Research Trends of Microplastic in Food via Centrality Analysis Method (중심성 분석을 이용한 식품 미세플라스틱의 최근 연구동향)

  • Cho, Sung-Yong;Byun, Ki-sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.508-515
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    • 2020
  • This study examined the research trends of "Microplastic in food" with a scholar databaseusing the centrality analysis method. The data was based on research papers published from 2011 to 2020, sorted by "microplastic" and "food". The centrality analysis methodology(Degree centrality, Closeness centrality, Betweenness centrality) was applied, followed by a keyword-based frequency occurrence analysis. The results suggested that more than 30% of the total keywords were related to "marine" and "pollution". Therefore, research on the effects of microplastic pollution on the ecosystem had mainly been conducted. On the other hand, only 6% of the keywords were related to "toxicity" and "ingestion". Hence,the number of studies on microplastic exposure caused by bioaccumulation or food are still insufficient. These results can be used to provide directions for future research, as well as provide basic data for political decision-making on the environmental hazards of microplastic.

Analytic Review of Research Trends on Recycling of Construction Wastes: 1995-2016 (건설폐기물의 재활용에 관한 국내 연구동향 분석: 1995-2016년)

  • Li, Zhi-Run;Kim, Young-Joo
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.485-495
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    • 2017
  • The purpose of this study was to analyze research trends on recycling of construction wastes. Total 72 research papers published in domestic academic journals from 1995 to 2016 were analyzed. Four indicators were used for analytical framework of this study: research period, research field, research method, and research theme. The greatest amount of researches related to construction wastes recycling were executed during 2006-2010. Over half of the researches were done in architecture area. The most frequently used research method was combined method which used qualitative and qualitative method simultaneously. In terms of research theme, many of the subject researches were interested in understanding the current state of construction wastes recycling. It is recommended for further research to perform meta analysis which extends research subjects and range of keyword in macro perspective.

A study on smart fashion product development trends (스마트패션제품 개발 동향에 관한 연구)

  • Suh, Sung-Eun;Roh, Jung-Sim
    • The Research Journal of the Costume Culture
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    • v.23 no.6
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    • pp.1097-1115
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    • 2015
  • ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.

Analysis of Research Studies Published in Journal of Korean Critical Care Nursing : 2008-2013 (중환자간호학회지 2008~2013년 게재 논문 분석)

  • Son, Youn-Jung;Kang, Jiyeon;Song, Hyo-Jeong;Park, Young-Rye;Lee, Yun-Mi;Park, Jin-Hee;Kim, Minju
    • Journal of Korean Critical Care Nursing
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    • v.6 no.2
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    • pp.78-88
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    • 2013
  • Purpose: The purpose of this study was to identify the trends in studies published in Journal of Korean Critical Care Nursing (JKCCN) from 2008 to 2013. Methods: A total of 65 studies published between 2008 to 2013 were reviewed using criteria developed by researchers. Results: Approximately 36% of studies were conducted with patients. Intensive care unit (ICU) was the most popular site as the study setting. Among 59 research papers, 42.4% were approved by institutional review board (IRB). Quantitative studies were 78.6%, while qualitative studies were 4.6%. The research designs for the quantitative studies were survey (52.3%), quasi-experimental (16.9%), and so on. There was no randomized controlled trial. The most frequently used methods to provide nursing intervention was education. In addition, "nurse" and "ICU" were most commonly used keyword. Conclusion: Considering the low rate of IRB approval, more stringent application of research ethics is necessary to improve the quality of JKCCN. In addition, more randomized controlled trials should be encouraged to support evidence-based practice in critical care.

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Analysis of Research Trends on Domestic Stage Costumes (무대의상 연구의 동향 분석)

  • Choi, Hyunok;Yi, Kyonghwa
    • Journal of Fashion Business
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    • v.18 no.2
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    • pp.1-13
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    • 2014
  • This study examines research trends in the dissertations and journal articles on stage costume so as to provide basic information on directions for future studies. The data was collected from the theses of domestic journals of the Korean Studies Information (KSI) which were published until December, 2012 and retrieved by a keyword related to the "design of stage costume", "costume for performing art", and etc. Theses and articles for the analyses were a total of 200 published. Reviewing the theses by dividing the times into 8 Chronicles of 5 years in each term. The findings of the study are as follows: According to the chronological analysis, there has been a steady increase in the rates of the musical, ballet, dance, and circus costume and cutting edged technology such as LED has been utilized in the performing art, currently. The real production and making up of the costumes have been increasing as well by replacing of illustration and rendering of the costumes. In the recent costume of the performing arts show the tends of the visual effects and up-sizing, comprehensiveness and fusion. From the analysis of the background of the work, those were confirmed that the most common historical period was modern period, and places were France, England, and Egypt. In regard to research themes and methods, many of research papers utilized content analysis method, character analysis method as research methods. The most popular presentation of the costume designs was "rendering", "costumes schedule" and "illustration". However, development and explanation of the patterns was insufficient and constructions methods and real works(costumes) were usually omitted in the articles.

Analysis of Research Subject Network in the Field of Oncogene (암유전자 연구주제 네트워크 분석)

  • Jang, Hae-Lan;Kang, Gil-Won;Lee, Eun-Jung;Kim, Seung-Ryul;Lee, Young-Sung
    • Journal of Korea Technology Innovation Society
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    • v.15 no.2
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    • pp.369-399
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    • 2012
  • Purpose: Health technology research & development is an important area to leading future. This study examined the current trends for 'oncogene' based on the research subject network to deduce a research front. Method: Papers were extracted from PubMed database using MeSH term for studies on 'oncogenes' and further categorized as papers published by Korean. Keywords were collected from all of articles. Research subject network was generated by keywords. Research subject network was analyzed by weighted degree centrality based social network analysis and transition of research subjects was analyzed by the time series. Results: On 'oncogenes', 'Genes, ras', 'Apoptosis', 'Signal Transduction' had a high degree centrality and currently 'Antineoplastic Agents', 'Prognosis', and 'Tumor Markers, Biological' were widely conducted. Conclusion: Consistency of research trend pattern was found by analyzing oncogene network with compromised to international vs. domestic trends. Analyzing keyword networks in various subject area, those will allow us to predict the research progress and propose evidence of research & developmental strategy.

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A Research Trends for Domestic Public Design by Meta Analysis (국내 공공디자인 연구동향에 대한 메타분석)

  • Hwang, Mee-Young
    • Korean Institute of Interior Design Journal
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    • v.25 no.3
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    • pp.102-111
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    • 2016
  • There are various form of public elements in modern urban space. These public elements mingle with sociocultural elements which consist of each city, determining urban environment's image. Especially, since the social value of design becomes important, the social role of public design has been emphasized as an effective value for public interest and environment. It is just about 10 years since design mind in the public sector has been made domestically. Even though domestic public design has been studied not so long, it has developed with radical change of social culture and science technology. This study targets public environment in modern dense urban space. Also, it grasps the trend of public design studies through analysing and documentary survey of the existing studies, and based on that result, aims at presenting the direction that domestic public design studies should progress. This study selected 253 theses(1989.6~2015.11) by collecting primary, secondary data about public design studies, and implemented overall meta-analysing about the trend of domestic public design studies. As a result, public design has been studied intensively in the field of design about environment, architecture, etc. The trend analyzing of study purpose and keyword has a tendency which is weighted towards exploratory study focused on suggestion and development about object and realm of public design. The trend analyzing of study area tends to study overall part of public space or public facility rather than specific area and object. The most parts of studies analyze domestic area, especially Seoul metropolitan area. Also, the study method weighted in favor of some qualitative analysis has been utilized.

Active Senior Contents Trend Analysis using LDA Topic Modeling (LDA 토픽 모델링을 이용한 액티브 시니어 콘텐츠 트렌드 분석)

  • Lee, Dongwoo;Kim, Yoosin;Shin, Eunjung
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.35-45
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    • 2021
  • The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

Analysis of Smart Factory Research Trends Based on Big Data Analysis (빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석)

  • Lee, Eun-Ji;Cho, Chul-Ho
    • Journal of Korean Society for Quality Management
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    • v.49 no.4
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    • pp.551-567
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    • 2021
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.