• Title, Summary, Keyword: Research Trend

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

  • Shin, Minsoo;Park, Min-Gyu;Bae, Seong-Hun
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.40 no.4
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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.

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

  • Kim, Eunjung;Kim, Yongseok;Rhew, Doughee;Ryu, Jichul;Park, Baekyung
    • Journal of Korean Society on Water Environment
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    • v.30 no.2
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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.

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

  • Yu, Jae Jeong;Shin, Suk Ho;Yoon, Young Sam;Song, Jae Kee
    • Journal of Korean Society on Water Environment
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    • v.26 no.6
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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.

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

  • Choi, Mi-Young;Son, Mi-Young
    • Fashion & Textile Research Journal
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    • v.10 no.6
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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.

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

  • Moon, Yeon Sim;Park, Young Sook
    • Korean Journal of Childcare and Education
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    • v.14 no.6
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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.

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

  • Choi, Soon-Hee;Choi, Young-Joon;Lee, Yoon-Joo
    • Culinary science and hospitality research
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    • v.12 no.3
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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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Material as a Key Element of Fashion Trend in 2010~2019 - Text Mining Analysis - (패션 트렌트(2010~2019)의 주요 요소로서 소재 - 텍스트마이닝을 통한 분석 -)

  • Jang, Namkyung;Kim, Min-Jeong
    • Fashion & Textile Research Journal
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    • v.22 no.5
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    • pp.551-560
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    • 2020
  • Due to the nature of fashion design that responds quickly and sensitively to changes, accurate forecasting for upcoming fashion trends is an important factor in the performance of fashion product planning. This study analyzed the major phenomena of fashion trends by introducing text mining and a big data analysis method. The research questions were as follows. What is the key term of the 2010SS~2019FW fashion trend? What are the terms that are highly relevant to the key trend term by year? Which terms relevant to the key trend term has shown high frequency in news articles during the same period? Data were collected through the 2010SS~2019FW Pre-Trend data from the leading trend information company in Korea and 45,038 articles searched by "fashion+material" from the News Big Data System. Frequency, correlation coefficient, coefficient of variation and mapping were performed using R-3.5.1. Results showed that the fashion trend information were reflected in the consumer market. The term with the highest frequency in 2010SS~2019FW fashion trend information was material. In trend information, the terms most relevant to material were comfort, compact, look, casual, blend, functional, cotton, processing, metal and functional by year. In the news article, functional, comfort, sports, leather, casual, eco-friendly, classic, padding, culture, and high-quality showed the high frequency. Functional was the only fashion material term derived every year for 10 years. This study helps expand the scope and methods of fashion design research as well as improves the information analysis and forecasting capabilities of the fashion industry.

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

  • 이영자
    • Journal of Korean Library and Information Science Society
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    • v.21
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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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Genetic Trend for Growth in a Closed Indian Herd of Landrace × Desi Crossbreds

  • Gaur, G.K.;Ahlawat, S.P.S.;Chhabra, A.K.;Paul, Satya
    • Asian-Australasian Journal of Animal Sciences
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    • v.11 no.4
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    • pp.363-367
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    • 1998
  • This study has objectives of to estimate the genetic and phenotypic trend for growth in a closed herd of Landrace $\times$ desi crossbreds. The possibility of early selection of boars was also investigated in order to reduce generation interval and thus, to enhance response per year in selection programmes. The data originated from Livestock Production Research (Pigs), Indian Veterinary Research Institute (IVRI), Izatnagar (UP), India - a unit of All India Coordinated research Project on Pigs (AICRP on Pigs). Data consisted of 891 crossbred piglets, progeny of 29 boars. The piglets were born in 132 parities of 72 sows between 8 years from 1987 to 1994. Records on weight at birth, at 2 weeks interval upto 8 weeks of age (Wl, W2, ${\cdots}\;{\cdots}$ W8) and at 16th week (W16) were used in this investigation. BLLTP estimates of the sires were computed. Breeding value of each sire was estimated as twice of sire and sire group solutions. Phenotypic trend was estimated as regression of weight performance on year. Genetic trend was computed by estimating regression of breeding value of sires on time. Average body weights ranged from 0.92 kg (W1) to 18.95 kg (W16) and showed a continuous increase over age. Heritabilities of the weight at 4th and 6th week were medium (0.29 and 0.14). Rest of the weights were highly heritable. The product moment and rank, both correlations were high between breeding value for W6 and W16 (0.68 and 0.70). This shows that sire selection for W6 can be successfully implemented in order to achieve sufficient genetic improvement in growth. Phenotypic trend was positive at all ages. The phenotypic regression coefficient ranged from 0.02 kg at birth to 0.40 kg at 16 weeks. Genetic trend was also positive. The regression coefficients of average breeding value of sires on time showed a range of 1.471 kg (0.021 to 1.492 kg) for different weights. These coefficients were significant and higher than their corresponding phenotypic regression coefficient.

A Study on Trend of the Research Papers Published in the Journal of the Ergonomics Society of Korea

  • Lee, Dhong-Ha
    • 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.