• 제목/요약/키워드: Research trend

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나노 인포매틱스 기반 구축을 위한 구글 트렌드와 데이터 마이닝 기법을 활용한 나노 기술 트렌드 분석 (Nano Technology Trend Analysis Using Google Trend and Data Mining Method for Nano-Informatics)

  • 신민수;박민규;배성훈
    • 산업경영시스템학회지
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    • 제40권4호
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    • pp.237-245
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    • 2017
  • Our research is aimed at predicting recent trend and leading technology for the future and providing optimal Nano technology trend information by analyzing Nano technology trend. Under recent global market situation, Users' needs and the technology to meet these needs are changing in real time. At this point, Nano technology also needs measures to reduce cost and enhance efficiency in order not to fall behind the times. Therefore, research like trend analysis which uses search data to satisfy both aspects is required. This research consists of four steps. We collect data and select keywords in step 1, detect trends based on frequency and create visualization in step 2, and perform analysis using data mining in step 3. This research can be used to look for changes of trend from three perspectives. This research conducted analysis on changes of trend in terms of major classification, Nano technology of 30's, and key words which consist of relevant Nano technology. Second, it is possible to provide real-time information. Trend analysis using search data can provide information depending on the continuously changing market situation due to the real-time information which search data includes. Third, through comparative analysis it is possible to establish a useful corporate policy and strategy by apprehending the trend of the United States which has relatively advanced Nano technology. Therefore, trend analysis using search data like this research can suggest proper direction of policy which respond to market change in a real time, can be used as reference material, and can help reduce cost.

비모수 경향분석법 적용을 통한 금강수계 총량관리 단위유역의 수질변화 연구 (A Study on the Water Quality Changes of TMDL Unit Watershed in Guem River Basin Using a Nonparametric Trend Analysis)

  • 김은정;김용석;류덕희;류지철;박배경
    • 한국물환경학회지
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    • 제30권2호
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    • pp.148-158
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    • 2014
  • In order to assess the effect of TMDLs management and improve that in the future, it is necessary to analyze long-term changes in water quality during management period. Therefore, long term trend analysis of BOD was performed on thirty monitoring stations in Geum River TMDL unit watersheds. Nonparametric trend analysis method was used for analysis as the water quality data are generally not in normal distribution. The monthly median values of BOD during 2004~2010 were analyzed by Seasonal Mann-Kendall test and LOWESS(LOcally WEighted Scatter plot Smoother). And the effect of Total Maximum Daily Loads(TMDLs) management on water quality changes at each unit watershed was analyzed with the result of trend analysis. The Seasonal Mann-Kendall test results showed that BOD concentrations had the downward trend at 10 unit watersheds, upward trend at 4 unit watersheds and no significant trend at 16 unit watersheds. And the LOWESS analysis showed that BOD concentration began to decrease after mid-2009 at almost all of unit watersheds having no trend in implementation plan watershed. It was estimated that TMDLs improved water quality in Geum River water system and the improvement of water quality was made mainly in implementation plan unit watershed and tributaries.

초고층 화재 안전에 관한 아시아 각국의 동향조사 (A Study on the Research Trend of Fire Safety in High-rise buildings to Asia)

  • 권영진;구인혁;김동은;서동구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2013년도 추계 학술논문 발표대회
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    • pp.228-229
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    • 2013
  • As the rapid and various changing of social aspects, the structures are getting bigger, higher and more complex. This study is research trend of fire safety in high-rise buildings to Asia country. Research Trend for the Fire Safety to present the plan to clean up the problems and ways to improve future domestic.

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NTrend 1.0에 의한 낙동강 수질 장기변동 추세분석 (Long-Term Water Quality Trend Analysis with NTrend 1.0 Program in Nakdong River)

  • 유재정;신석호;윤영삼;송재기
    • 한국물환경학회지
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    • 제26권6호
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    • pp.895-902
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    • 2010
  • The effect of seasonality on water quality variation is very significant. Generally, it reduce the power of the trend extraction. A parametric time-series model was used for detecting trends in historic constituent concentration data. The effect of seasonality is able to remove from time series decomposition technique. According to such statistic methode, long-term water quality trend analysis system (NTrend 1.0) was developed by Nakdong River Water Environmental Research Center. The trend analysis of BOD variation was conducted with NTrend 1.0 at Goreong and Moolkum site in Nakdong river to show the effect of water quality management action plan. Power test of trend extraction was tried each case of 'deseasonalized and deannulized' data and 'deseasonalized' data. Analysis period was from 1989 to 2006, and it's period was divided again three times, 1989~1993, 1994~1999 and 2000~2006 according to action plan period. The BOD trend was downward in Goreong site during three times and it's trend slope was very steep, and upward in Moolkum during 1989~1993, but it was turned downward during 1994~1999 and 2000~2006. It was revealed that it's very effective to reduce the concentration of BOD by water quality management action plan in that watershed. The result of power test was shown that it is high for trend extraction power in case of 'deseasonalized' data.

유아 배려교육에 관한 연구동향 분석 - 2006년~2018년 국내 연구를 중심으로 - (Analysis on the Research Trend of Child Care Education - Based on Domestic Research from 2006 to 2018 -)

  • 문연심;박영숙
    • 한국보육지원학회지
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    • 제14권6호
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    • pp.219-239
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    • 2018
  • Objective: This study aims to analyze the research trend of domestic child care education, and to seek directions for future research related to child care education based on analysis results. Methods: A total of 91 theses were selected in journals released in Korea from January 2006 to August 2018. The analysis standards for the research trend were established as research period, theme, target and method. Results: First, the amount of research on child care education has gradually increased since 2006. Second, action research for improvement was the most common research theme for child care education, while activities utilizing fairy tales and picture books were the most frequently used education activities. Third, research that targeted five-year-olds accounted for the largest part of research. Fourth, when it came to research type, most research was based on quantitative research. Conclusion/Implications: Based on the analysis results above, the direction for the development of future child care education and relevant research was discussed.

패션정보기획의 체계화를 위한 국내 패션정보산업의 고찰 (The Study on Domestic Fashion Information Service Industry for Systematization of Fashion Trend Information Planning Process)

  • 최미영;손미영
    • 한국의류산업학회지
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    • 제10권6호
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    • pp.926-935
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    • 2008
  • The field of textile and fashion is regard to be sensitive to trend, however, the professional fashion information planning company for trend forecasting has not settled down in Korea. This study was designed to propose systemizing for fashion trend information planning in domestic fashion information service market. The empirical research was conducted by analysing in-depth interview data and news-scrap contents about each fashion information planning company. The result are as follows; First, fashion information service showed a little difference according to the type of fashion information companies, but they provided not only general fashion trends but also external market environmental information, survey-based consumer information and various segmented market research reports including academic information. Second, the fashion information planning process is largely divided into 3 stages; trend analysis, trend forecasting, trend application. The trend application step is the stage which connects the fashion information service industry to the fashion business. Thirdly, as a result of the competitive power evaluation for fashion information planning, the domestic fashion information planning companies came to reveal the fact that the possibility of carrying out and information analysis power were weak, however, how to present trend information had a relatively competitive. Consequently, this study is expected to play a role in understanding the importance of fashion trend information, and further ahead it would be helpful to organize the curriculum of fashion information planning subject in order to educate the future fashion executives.

웰빙 트랜드가 한과류 선택 속성에 미치는 영향에 관한 연구 (A Study on Effects of the Well-being Trend on Korean Traditional Confectionary Selection)

  • 최순희;최영준;이윤주
    • 한국조리학회지
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    • 제12권3호
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    • pp.32-48
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    • 2006
  • Korean Traditional Confectionary is a part of our traditional culture taking a great part in our food culture for a while. However, it is now barely maintaining its name. In this research, a new consumption trend 'Well-being' is adopted to suggest the ways to develop the Korean Traditional Confectionary industry. This research intends to find out what effects the 'Well-being' trend, which originated from interest in health, have on Korean Traditional Confectionary selection. A survey includes the questions about the Well-being trend, selection and uses of Korean Traditional Confectionary, and demographic data. This research conducted analysis on 249 people who have used Korean Traditional Confectionary in Busan and Kyeongnam Province to find out effects of the Well-being trend on Korean Traditional Confectionary selection. This empirical study showed that the Well-being trend has some effects on Korean Traditional Confectionary selection while it has the greatest effects on healthy properties and commercial values of Korean Traditional Confectionary.

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국내 패션 시스템에서 패션 트렌드 정보 예측의 영향력 (Influence of Fashion Trend Forecasting on Korean Fashion System)

  • 정다운;김성은;하지수
    • 한국의류학회지
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    • 제46권6호
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    • pp.963-986
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    • 2022
  • This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

하이퍼텍스트 정보검색에 관한 연구동향 (Research trends in hypertext information retrieval)

  • 이영자
    • 한국도서관정보학회지
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    • 제21권
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    • pp.57-86
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    • 1994
  • The purpose of the study is to understand the research trends in the hypertext information retrieval. Around 30 related papers were investigated, from which three distinctive streams of research trends are grasped: 1) a trend of incorporating the traditional retrieval models, especially the query-based searching model into the hypermedia system. 2) a trend of a n.0, pplying the hypermedia system as an interface to the OPAC system, 3) a trend of incorporating the artificial intelligence techniques into the hypermedia techniques. The research on the hypermedia is going on, and the research directions will be increasingly intend to incorporate the traditional retrieval models and artificial intelligence techniques into the hypermedia system.

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LDA를 사용한 COVID-19 관련 국내 논문의 연구 토픽 분석 (Research Topic Analysis of the Domestic Papers Related to COVID-19 Using LDA)

  • 김은회;서유화
    • 한국정보전자통신기술학회논문지
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    • 제15권5호
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    • pp.423-432
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    • 2022
  • 본 논문은 학술연구자들이 COVID-19 관련 논문의 전체적인 연구 동향을 파악할 수 있도록 한다. KCI 사이트에서 수집한 2020년 1월부터 2022년 7월까지 총 10,599편의 COVID-19 관련 논문 정보를 LDA 토픽 모델링으로 분석한 결과를 제시한다. 또한 학술연구자들이 자신의 관심 연구분야의 토픽을 쉽게 파악할 수 있도록 LDA 토픽 모델링의 결과를 주요 연구 카테고리별로 분석하고, 토픽별로 연구가 많이 이루어지는 세부 연구 카테고리 정보를 분석한다. 학술연구자들이 시간의 흐름에 따른 연구 토픽의 추세(trend)를 파악하는 것은 연구 동향을 파악하는데 매우 중요하다. 따라서 이를 위해 본 논문에서는 시계열 분해를 사용하여 토픽들의 추세(trend)를 분석하여 제시한다.