• Title/Summary/Keyword: Research Trend Analysis

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Keyword networks in RJCC research - A co-word analysis and clustering - (RJCC 연구 키워드 네트워크 - 동시출현단어분석과 군집분석 -)

  • Seo, Hyun-Jin;Choi, Yeong-Hyeon;Oh, Seung-Taek;Lee, Kyu-Hye
    • The Research Journal of the Costume Culture
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    • v.27 no.3
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    • pp.193-205
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    • 2019
  • A trend analysis of research articles in a field of knowledge is significant because it can help in finding out the structural characteristics of the field and the future direction of research through observing change in a time series. We identified the structural characteristics and trends in text data (keywords) gathered from research articles which in itself is an important task in various research areas. The titles and keywords were crawled from research articles published from 2016 to 2018 in the Research Journal of the Costume Culture (RJCC), one of the representative Korean journal in the field of clothing and textile. After we extracted data comprising English titles and keywords from 195 published articles, we transformed it into a 1-mode matrix. We used measures from network analysis (i.e., link, strength, and degree centrality) for evaluating meaningful patterns and trends in the research on clothing and textile. NodeXL was used for visualizing the semantic network. This study observed change in the clothing and textile research trend. In addition to covering the core areas of the field, the subjects of research have been diversifying with every passing year and have evolved onto a developmental direction. The most studied area in articles published by the RJCC was fashion retailing/consumer psychology while aesthetic/historic and fashion industry/policy studies were covered to a more limited extent. We observed that most of the studies reflecting the identity of RJCC share subject keywords to a significant extent.

Trend Properties and a Ranking Method for Automatic Trend Analysis (자동 트렌드 탐지를 위한 속성의 정의 및 트렌드 순위 결정 방법)

  • Oh, Heung-Seon;Choi, Yoon-Jung;Shin, Wook-Hyun;Jeong, Yoon-Jae;Myaeng, Sung-Hyon
    • Journal of KIISE:Software and Applications
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    • v.36 no.3
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    • pp.236-243
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    • 2009
  • With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. for detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.

A study on the perception of the metaverse and luxury fashion brands

  • Hosun Lim
    • The Research Journal of the Costume Culture
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    • v.32 no.2
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    • pp.125-147
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    • 2024
  • This study aims to analyze consumer perceptions of the metaverse platform and luxury fashion brands in relation to consumer lifestyles, thereby providing foundational data for future marketing strategies of fashion brands using the metaverse. A survey on the lifestyle and perceptions of the metaverse, as well as on luxury fashion brands, was conducted among 300 men and women between their 20s and 40s. Statistical analyses included frequency analysis, cross-tabulation, chi-square (χ2) analysis, factor analysis, cluster analysis, one-way ANOVA, and Duncan's post-hoc test. Factor analysis of the participants' lifestyles revealed five distinct types: "Indifferent," "Social, individual, and leisure-oriented," "Trend-leading and brand-oriented," "Appearance and fashion-oriented," and "Self-improvement-focused and individualistic" types. The analysis of luxury fashion brand perceptions based on lifestyle types showed that the "Trend-leading and brand-oriented" type had higher awareness and preference for brands such as Gucci, Burberry, and Balenciaga, while the "Indifferent" type showed lower levels of awareness and preference. Regarding brand perception related to luxury fashion brand content experiences within the metaverse, Gucci, Burberry, and Balenciaga showed consistent results across all types. Specifically individuals classified under the "Trend-leading and brand-oriented" category exhibited higher awareness and preference for these brands within metaverse experiences, while those categorized as "Indifferent" displayed comparatively lower levels. Therefore, digital marketing strategies targeting consumers under the "Trend-leading and brand-oriented" category are expected to be highly effective for luxury fashion brands. This study is poised to contribute to the expansion of the marketing landscape within the metaverse virtual world for fashion.

An Analysis of Research Trend of Hwangryunhaedok-tang Published in Korea (황렬해독탕에 대한 국내의 연구 동향 분석)

  • Huh, Gun;Oh, Min-Seok
    • Journal of Haehwa Medicine
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    • v.28 no.2
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    • pp.20-28
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    • 2019
  • Objectives : Hwangryunhaedok-tang. a traditional Korean herbal medicine, has been widely used for the treatment. This study is purposed to analyze the research trend of Hwangryunhaedok-tang in Korea for developing further research plan. Methods : A search of Korean research database( OASIS, RISS, Korean traditional knowledge portal, NDSL) was conducted to find studies for Hwangryunhaedok-tang. We analyzed studies by publish date, speciality, study method, and field of study. Result : 1. 2.65 papers were published annually on average. 2. After analyzing for the speciality of the journal, most of the papers were published in Traditional Korean Medicine. 3. After analyzing for the study method, in vivo was 33.96%, in vitro was 32.08% and quantitative inspection was 13.21% 4. After analyzing for the subject of the studies, beneficial effect was 81.13%, quantitative and qualitative analysis was 13.21%, toxicity was 3.77% 5. Papers on beneficial effect were classified by the type of diseases. Hwangryunhaedok-tang was most used in skin disease. Conclusions : Hwangryunhaedok-tang is effective in various category of diseases. This study will be useful to future researchers and clinicians to conduct a study on Hwangryunhaedok-tang.

A trend analysis of the Knowledge Management Research using graph theory and network model (그래프 이론 및 네트워크 모델을 이용한 지식경영연구 논문 트랜드 분석)

  • Lee, Dong Hyun;Lee, Ho;Kim, Jungmin
    • Knowledge Management Research
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    • v.17 no.1
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    • pp.1-16
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    • 2016
  • The purpose of this study is to analyze 352 scholarly journals and 1496 keywords in Knowledge Management Research from 2000 to 2015 and provide systematical view point of research trend in the area of knowledge management using graph theory and network model. The relational patterns among keywords as well as keywords which recently received noticeable attention and keywords which receded from the spotlight in recent years in the knowledge management literature were identified. The result of this study can be used as a foundation of future research ideas in knowledge management.

Trend Analysis of GPS Precipitable Water Vapor Above South Korea Over the Last 10 Years

  • Sohn, Dong-Hyo;Cho, Jung-Ho
    • Journal of Astronomy and Space Sciences
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    • v.27 no.3
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    • pp.231-238
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    • 2010
  • We analyzed global positioning system (GPS)-derived precipitable water vapor (PWV) trends of the Korea Astronomy and Space Science Institute 5 stations (Seoul, Daejeon, Mokpo, Milyang, Sokcho) where Korea Meteorological Administration meteorological data can be obtained at the same place. In the least squares analysis, the GPS PWV time series showed consistent positive trends (0.11 mm/year) over South Korea from 2000 to 2009. The annual increase of GPS PWV was comparable with the 0.17 mm/year and 0.02 mm/year from the National Center for Atmospheric Research Earth Observing Laboratory and Atmospheric InfraRed Sounder, respectively. For seasonal analysis, the increasing tendency was found by 0.05 mm/year, 0.16 mm/year, 0.04 mm/year in spring (March-May), summer (June-August) and winter (December-February), respectively. However, a negative trend (-0.14 mm/year) was seen in autumn (September-November). We examined the relationship between GPS PWV and temperature which is the one of the climatic elements. Two elements trends increased during the same period and the correlation coefficient was about 0.8. Also, we found the temperature rise has increased more GPS PWV and observed a stronger positive trend in summer than in winter. This is characterized by hot humid summer and cold dry winter of Korea climate and depending on the amount of water vapor the air contains at a certain temperature. In addition, it is assumed that GPS PWV positive trend is caused by increasing amount of saturated water vapor due to temperature rise in the Korean Peninsula. In the future, we plan to verify GPS PWV effectiveness as a tool to monitor changes in precipitable water through cause analysis of seasonal trends and indepth/long-term comparative analysis between GPS PWV and other climatic elements.

Statistical Analysis for Ozone Long-term Trend Stations in Seoul, Korea (통계적 기법을 적용한 서울의 오존 장기변동 대표측정소 선정)

  • Shin, Hyejung;Park, Jihoon;Son, Jungseok;Rho, Soona;Hong, Youdeong
    • Journal of Environmental Impact Assessment
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    • v.24 no.2
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    • pp.111-118
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    • 2015
  • This study was conducted for the establishment of statistical method to determine the representative air quality monitoring station representing long-term ozone trends of Seoul. In this study, hourly ozone concentrations from 2002 to 2011 were used for further analysis. KZ-filter, correlation matrix, cluster analysis, and Kriging method were applied to select the representative station. The analysis based on correlation matrix found that long-term trend of ozone concentrations measured at Sinjung, Sadang, and Bun-dong showed a high correlation. The cluster analysis found that the former three stations belonged to the same cluster. The analysis based on Kriging method also showed that the former three stations were highly correlated with other stations in spatial distribution. Considering these results and the highest correlation coefficient of Sinjung station, the Sinjung station was the most suitable as the representative station used to understand the long-term ozone trend of Seoul. This result could be applied to understand long-term trend of other pollutants. Furthermore, this result can also be used to assess the appropriacy of spatial distribution of national air quality monitoring stations.

The Analysis of the Recent Research Trend of Sipjeondabo-tang in Korea (국내 십전대보탕 최근 연구 동향 분석)

  • Oh, Somi;Cheon, Chunhoo;Park, Sunju;Jang, Bo-Hyoung;Park, Jeong-Su;Jang, Soobin;Shin, Yong-Cheol;Ko, Seong-Gyu
    • Journal of Society of Preventive Korean Medicine
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    • v.18 no.1
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    • pp.113-123
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    • 2014
  • Objective : This study is aimed to analyze the recent research trend of Sipjeondabo-tang (SJDBT) in Korea. Method : We searched Korean research database by using keyword 'Sipjeondabo-tang'. Databases are Korean Medicine Information System, Research Information Service System and Korean Studies Information Service System. We analyzed studies by research method, publication year, type of journal and subject of the study. Results : By analyzing studies published after 1990, we could find that experimental studies were primarily conducted in SJDBT study. During recent 10 years, the number of toxicity studies and components analysis studies is increasing. Among the SJDBT studies, the number of clinical study was only 1. Conclusion : We explored the recent research trend of SJDBT in Korea. As a result, We suggested three further research ways of SJDBT. Proposed research ways are exploring various effect of SJDBT, observing whether there is a difference of effect according to extracting and drying method, and conducting clinical research of SJDBT.

Analysis of the Effect of Cigarette Price Hike (담배가격인상 효과분석)

  • Kim Do-Hoon;Han Kwang-Hwan
    • Journal of the Korean Society of Tobacco Science
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    • v.27 no.2
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    • pp.235-243
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    • 2005
  • The government continuously increases cigarette price to reduce the smoking rates. Opinions of cigarette makers and Ministry of Health and Welfare on the effect of cigarette price hike are sharply opposed. This dispute is important because there is possibility of additional increase of cigarette price by 500 won. Therefore, as an inquiry into existing studies for the effect of cigarette price hike on tobacco product, namely analysis of the effect of cigarette price hike consumption, we empirically analyzed the effect of cigarette excise tax hike through establishing improved analytic models considering time trend. As a result, it is substantiated that time trend in the effect of cigarette excise tax hike is certainly exist and early impact is heavy. However, the amount of cigarette consumption is recovered to the level of the average in 5 months. Since it is proved that the long term effect of cigarette price hike is immaterial, health authority should reconsider the plan of additional raising cigarette price by 500 won.

Trend analysis of sustainable fashion design in Korean academic journals (국내 학술 연구에 나타난 지속가능 패션 디자인 연구 동향)

  • Soohyun Lee;Younhee Lee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.4
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    • pp.73-85
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    • 2022
  • The purpose of this study is to conduct more practical subsequent research by identifying research areas through a systematic analysis of sustainable fashion design research trends. For this study, 117 journals domestic journals published between 2010 and 2020 were selected using the keyword, 'sustainable fashion'. With the research materials, six top keywords, 'zero waste', 'sustainability', 'eco-friendly', 'upcycling', 'recycling', and 'ethical', were derived. The research status was examined by year, keyword, keyword and year, and research topic. The analysis results are as follows. First, looking into the studies by year, it was found that research on sustainable fashion increased in general. Compared to 2010, the research tripled in 2020, and it was found to have increased steadily from 2018. Second, regarding the research by keyword, eco-friendly was the most common. It can be seen that research tended to focus on recycling or eco-friendliness before, but in later material design development was heading towards upcycling. Third, concerning the research by topic, case studies were found the most before, but research on design development tended to increase recently. Based on that, it is expected that the areas of sustainable fashion design that need more research will be investigated further.