• Title/Summary/Keyword: Research trend

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An Up-Trend Detection Using an Auto-Associative Neural Network : KOSPI 200 Futures

  • Baek Jinwoo;Cho Sungzoon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.1066-1070
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    • 2002
  • We propose a neural network based up-trend detector. An auto-associative neural network was trained with 'up-trend' data obtained from the KOSPI 200 future price. It was then used to predict an up-trend Simple investment strategies based on the detector achieved a two year return of $19.8\%$ with no leverage.

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Trends of the Storm Wave Appearance on the East Coast Analyzed by using Long-term Wave Observation Data (장기실측 파랑자료 분석을 통한 동해안 폭풍파 출현 추세)

  • Jeong, Weon Mu;Ryu, Kyong-Ho;Oh, Sang-Ho;Baek, Won-dae
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.28 no.2
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    • pp.109-115
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    • 2016
  • The trend in appearance of storm waves on the east coast of Korea was investigated based on long-term wave data observed at six different stations. At the four wave stations of KIOST (Sokcho, Mukho, Hupo, and Jinha), no notable trend was found during the observation period with respect to the annual average and maximum values of the significant wave height. In addition, the annual number of the appearance of storm waves showed decreasing trend at the three stations except Jinha, where slightly increasing trend of the quantity was recognized. In contrast, at Donghea ocean data buoy of KMA, abruptly increasing trend was found for the annual average and maximum of the significant wave height and for the annual number of the appearance of storm waves as well, demonstrating lack of consistency in the observation data from Donghea buoy of KMA.

A Study on Art Makeup Works that Applied Pantone Color of the Year and Makeup Techniques (팬톤 올해의 컬러와 메이크업 기법을 적용시킨 아트메이크업 작품연구)

  • Lee, Seolha;Kim, Hyekyun
    • Journal of Fashion Business
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    • v.26 no.3
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    • pp.19-32
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    • 2022
  • This study aimed to analyze the relationship between makeup and Pantone color by reflecting the visual elements of modern people who react sensitively to trends, and to research and propose art makeup using various techniques based on the results. The scope of this study was the last 5 years for researching trend colors. The range of colors was from 2016 to 2020, and the research method was designed after examining makeup trends using Pantone colors from 2016 to 2020; the characteristics of color and trend makeup were analyzed to design art makeup using various techniques. With respect to research data, literature review was conducted on the makeup design using Pantone colors with trend makeups. By referring to data in Pantone's official website, the characteristics and meanings of each color were analyzed. Based on research data, illustrations were made and makeup was designed and suggested. According to the study results, one-color makeup created a stable and uniform mood as a whole and could highlight the characteristics of each color. On the other hand, the makeup design that mixed Pantone colors harmonized the complementary colors and created an original and beautiful makeup design. The researcher identified the relationship and characteristics of trend colors and makeup and suggested various techniques, and expects that by linking the effect of trend color with makeup, designs and visual effects that go beyond the limits of the makeup market will be suggested and expanded.

Trend analysis of aridity index for southeast of Korea

  • Ghafouri-Azar, Mona;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.193-193
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    • 2017
  • Trend analysis can enhance our knowledge of the dominant processes in the area and contribute to the analysis of future climate projections. The results of previous studies in South Korea showed that southeast regions of Korea had the highest value of evapotranspiration. Thereby, it is of interest to determine the trend analysis in hydrological variables in this area. In this study, the recent 35 year trends of precipitation, reference evapotranspiration, and aridity index in monthly and annual time scale will be analyzed over three stations (Pohang, Daegu, and Pusan) of southeast Korea. After removing the significant Lag-1 serial correlation effect by pre-whitening, non-parametric statistical Mann-Kendall test was used to detect the trends. Also, the slope of trend of the Mann-Kendall test was determined by using Theil-Sen's estimator. The results of the trend analysis of reference evapotranspiration on the annual scale showed the increasing trend for the three mentioned stations, with significant increasing trend for Pusan station. The results obtained from this research can guide development if water management practices and cropping systems in the area that rely on this weather stations. The approaches use and the models fitted in this study can serve as a demonstration of how a time series trend can be analyzed.

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Analysis of Domestic Research Trends in Fashion Illustration (패션 일러스트레이션 관련 국내 연구동향 분석)

  • Kim, Mi-Hyun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.8
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    • pp.1337-1346
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    • 2009
  • This study examines research trends in the dissertations and theses on fashion illustration, as part of the necessity of the enlargement of this field into different areas and the importance of fashion research that will in the future. Currently, there are efforts to find the state of pervasive trends in thesis or that of dissertations in this area to help deter existing studies from producing mutually supplementary and constructive results. This also includes research that may have been overlapped in part or biased toward particular fields. This study is to solidify the research trend in papers and dissertations on fashion illustration in fields unexamined to suggest some of the right direction for research and development in fashion illustration. The selected data involved papers and dissertations published between 1990 and April 2009 by domestic graduate schools. To understand the research trend by item, descriptive statistics are utilized to acquire statistical data on the frequency and percentage in the creation of graphs. The findings of the study are as follows: There has been a steady increase in the rates of the theses and dissertations in this field in yearly domestic research fashion trends in illustration since 2002. In terms of the annual trend by the type of research, the number of the theses and dissertations on the production of works is larger than that of theoretical ones. This indicates that more attention should be given to theoretical research in this area. In regard to research themes and methods, many theses and dissertations were included with the production of works that showed a need to diversify the scope of research.

An Analysis of Domestic Research Trend and Educational Effects in Relation to Robot Education (로봇교육 관련 국내 연구동향 및 교육효과 분석)

  • Kim, Chul
    • Journal of The Korean Association of Information Education
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    • v.16 no.2
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    • pp.233-243
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    • 2012
  • The purpose of this study is to suggest the direction and implications of robot education by analyzing domestic research trend related to robot education and effectiveness papers from 2001 to the recent time. For examining the research trend related to robot education, 112 papers in total 10 kinds of professional academic journals of National Research Foundation of Korea were selected and they were analyzed by academic journal, year, research form, research subject, research object and research method. As the result of analyzing the number of papers by year, they are greatly increased from 2007. And, for the research subjects, they showed high rate of research, programming education and children's response research in order. For the research method, the experimental research was fulfilled the mostly. In the research on the educational effects of robot, it's reported to be effective in creativity, problem-solving ability, academic accomplishment of subjects, justifying factors of studying concentration and studying attitude. Based on the studying material, direction and implications of robot education were suggested.

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A Text Mining Analysis for Research Trend about the Mathematics Education (텍스트 마이닝 분석을 통한 수학교육 연구 동향 분석)

  • Jin, Mireu;Ko, Ho Kyoung
    • East Asian mathematical journal
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    • v.35 no.4
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    • pp.489-508
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    • 2019
  • In this paper we used text mining method to analyze journals of mathematics education posterior to the year of 2016. To figure out trends of mathematics education research. we analyzed the key words largely mentioned in the recent mathematics education journals by Term Frequency and Term Frequency-Inverse Document Frequency method. We also looked at how these keywords match up with the key words that appear of education to prepare for future society. This result can infer the characteristics of mathematics education research in the aspect upcoming research topics.

Analysis of Global Research Trend on Information Security (정보보안에 대한 연구 트렌드 분석)

  • Kim, Won-pil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1110-1116
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    • 2015
  • This paper analyzes global research trend on information security. All technical fields based on information requires security so that discovering technologies (technical terms) which are developing newly or dramatically is able to guide the future direction of the field of information security. In this paper, the ultimate of this research is to figure out the technologies related to information security and to forecast the future through understanding their trends. The paper, as a beginning for the analysis on macroscopic viewpoint, contains measurement of yearly relatedness between technical terms from 2001 to 2014 by using temporal co-occurrence and interpretation of its meaning through comparing the relatedness with trends of top-related technical terms. And to conclude, we could find that Android platform, Big data, Internet of things, Mobile technologies, and Cloud computing are emerging technologies on information security.