• Title/Summary/Keyword: search trend

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The Relationship between Apartment Price Index and Naver Trend Index (아파트가격지수와 네이버 트렌드지수 간의 연관성)

  • Yoo, Han-Soo
    • Land and Housing Review
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    • v.13 no.4
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    • pp.45-53
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    • 2022
  • This paper investigates empirically the lead-lag relation between the 'apartment price index' and 'Internet search volume'. This study uses Naver Trend Index as a proxy for Internet search volume. An increase in Internet search volume on the apartment price index indicates an increase in people's attention to an apartment. Different from previous studies exploring the relation between 'the released price index of the apartment' and 'Naver Trend Index', this study investigates the relation of the Naver Trend Index with 'the fundamental price component of an apartment' and 'the transitory price component of an apartment', respectively. The results of the Granger causality test reveal that there are bidirectional Granger causalities between the 'released price' and Naver Trend Index. In addition, the 'fundamental price component of an apartment' and Naver Trend Index have a feedback relation, while 'the transitory price component of an apartment' Granger causes the Naver Trend Index uni-directionally. The impulse response function analysis indicates that the shock of apartment prices increases Naver Trend Index in the first month. Overall, The close relationship between apartment prices and Naver Trend Index suggests that increases in the movement of apartment prices are positively associated with public attention on the apartment market.

A Study On Trend of S/S Jeans in 2005 by Using Fashion-ware Development Design (2005년 S/S Trend에 나타난 Jeans의 패션경향과 패션상품 개발을 위한 디자인 연구)

  • Kim, Young-Ran;Kim, Byeong-Mee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.8 no.2
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    • pp.17-26
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    • 2006
  • As fashion is a reflection of a way of life, jean fashion seems to be a reflection of the background and process of social-human psychology. Modern jeans reflect personality and trend rather than traditional practicality as indicated by the concept and emphasis of fashion. Since the early 1990s, practical use of jeans has appeared consistently in products for interior use, various kinds of fashion-ware and fashion properties, as well as in fashion that is a conversion and interpretation of an outstanding fashion trend. And the search, providing that various symbols of jeans are sensualism, deviation, ostentation, amusement and multi-culture, shows that jeans represent the multifarious aspects of fashion culture. For the purpose and necessity of this search to meet different consumers' desires by the practical use of jeans and the development of fashion-ware. First, investigate the trend of jeans in 2005. Second, try to change the various uses of jeans by reflecting the trend of jeans. Finally, extend the range of choice by developing various goods. As a result, basic jeans have the strength of function, activity, and originality. Use of ornamental jeans can fully show their value as well as their emphasis of individuality in beauty. If we consider these points, we can minimize the limitations of jeans and make a practical use of the fashion trend, If we make the function of jeans stand out through the use of varieties of materials, the modem characteristic consumption will be met by the various change of use as well as by the clothes.

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The Study of New Digital Generation's Utilization of Fashion Information (디지털 신세대의 패션트렌드 인지도와 수용도가 패션정보 활용도에 미치는 영향)

  • Kim, Yeo-Won;Choi, Jong-Myoung
    • Korean Journal of Human Ecology
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    • v.18 no.2
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    • pp.465-476
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    • 2009
  • The purpose of this study is to investigate recognition degree and acceptability of fashion trends of new consumers who live in digital era, and to determine how these factors have influence on their use of fashion trend information. The study was conducted with 696 people from 15 to 34 years old. A self-administrated questionnaire based on the results of previous researches was developed. The data were analyzed with statistical analyses such as frequency analysis, mean, factor analysis, t-test, ANOVA, correlation and regression analysis. The results are as follows: first, new digital consumer's recognition degree (RD) of fashion trends is 7.85 on the average, given that the top of scale is 20.0, it is quite low. Of fashion trend RD, fashion item RD is the highest. The female subjects recognize fashion trends better than the male subjects. Second, fashion trend acceptance of new digital generation is classified into 5 factors: 'search acceptance', 'lead acceptance', 'follow acceptance', 'non-acceptance', and 'delay acceptance'. The female subjects show higher degree in the factors of 'search acceptance', 'lead acceptance' and 'follow acceptance' of fashion trend than the males; hence it means that the females have more positive attitudes in fashion trend acceptance than the males. Third, there are significant differences between genders in the fashion information utilization. Compared to the males, the females more use fashion information on style, fabrics and color. Concludingly, their fashion trend recognition degree and acceptance made an influence in part on their utilization of fashion information.

Analysis of Technical Trend of Electric Agricultural Field Machinery

  • Kim, Yong Joo;Kim, Wan Su;Chung, Sun Ok;Lee, Dae Hyun
    • Agribusiness and Information Management
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    • v.6 no.2
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    • pp.40-48
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    • 2014
  • As basic research to develop HEV and EV agricultural field machinery, the present study analyzes the technical trend of electric agricultural field machinery through product analysis, paper analysis, and patent analysis concerning HEV and EV in the automobile, construction machinery, and agricultural machinery sectors. For product analysis, the homepages of companies in these sectors were consulted to analyze the number of products of each company. For paper analysis, key words related to HEV and EV were selected, a search formula was drawn up, and articles search sites were consulted. And for patent analysis too, key words were selected and then a search formula was drawn up to examine published patent applications or registered patent applications, and trends were analyzed by structure, country, and year. The number of HEV and EV products were 17 in the automobile area, 8 in construction machinery, and 4 in agricultural machinery. Notably, in the agricultural machinery area, all HEV and EV products were from advanced companies overseas. In terms of papers, papers published in the past 5 years were searched and 33,195 papers were from the automobile area, 3,806 were from construction machinery, and 2,687, the fewest papers, were from the agricultural machinery area. A search of patents in the electric drive technology area in Korea, USA, and Japan, and Europe showed 1,927 valid patents, with 1,120 in Japan, 497 in USA, 193 in Korea, and 117 in Europe. Analysis of the trend of research on electric agricultural field machinery by product, paper, and patent shows the development of HEV and EV technology in Korea is insufficient compared to USA, Japan, and Europe, which means rapid technological development is needed.

The Analysis of the Trend and Direction on the Korean and International Research Related to the Fuzzy Theory (국내.외 퍼지관련 연구추이 및 연구방향의 분석)

  • 박계각;서기열
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.201-204
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    • 2000
  • It seems that the \"fuzzy boom\" which began with its applications has calmed down and fallen into decay at least in Korea. But many foreign researchers say the research related to fuzzy theory has been only running its right course. In this paper, we discuss the trend and direction of reaserch related to fuzzy theory. The search trend is obtained through the analysis of the papers of the latest 10years papers in the journals of three societies: KFIS, SOFT and IFSA.

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A Study on the Demand Forecasting of Healthcare Technology from a Consumer Perspective : Using Social Data and ARIMA Model Approach (소셜데이터 및 ARIMA 분석을 활용한 소비자 관점의 헬스케어 기술수요 예측 연구)

  • Yang, Dong Won;Lee, Zoon Ky
    • Journal of Information Technology Services
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    • v.19 no.4
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    • pp.49-61
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    • 2020
  • Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

Research Trend Analysis of Unmanned Aerial Vehicle(UAV) Applications in Agriculture (농업분야 무인항공기(UAV) 활용 연구동향 분석)

  • Bae, Seoung-Hun;Lee, Jungwoo;Kang, Sang Kyu;Kim, Min-Kwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.126-136
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    • 2020
  • Recently, unmanned aerial vehicles (UAV, Drone) are highly regarded for their potential in the agricultural field, and research and development are actively conducted for various purposes. Therefore, in this study, to present a framework for tracking research trends in UAV use in the agricultural field, we secured a keyword search strategy and analyzed social network, a methodology used to analyze recent research trends or technological trends as an analysis model applied. This study consists of three stages. As a first step in data acquisition, search terms and search formulas were developed for experts in accordance with the Keyword Search Strategy. Data collection was conducted based on completed search terms and search expressions. As a second step, frequency analysis was conducted by country, academic field, and journal based on the number of thesis presentations. Finally, social network analysis was performed. The analysis used the open source programming language 'Python'. Thanks to the efficiency and convenience of unmanned aerial vehicles, this field is growing rapidly and China and the United States are leading global research. Korea ranked 18th, and bold investment in this field is needed to advance agriculture. The results of this study's analysis could be used as important information in government policy making.

The Status of Constitutional Medical Industry Related to Metabolic Diseases by Web Search (웹 검색에 의한 대사성질환 관련 체질의학산업 현황)

  • Lee, Yeon-Joo;Kim, Jong-Yeol
    • Journal of Sasang Constitutional Medicine
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    • v.27 no.4
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    • pp.388-395
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    • 2015
  • Objectives To grasp the trend of constitution medical industry related to the metabolic disorders by analyzing the web resource.Methods Web search with the search formula ("constitutional" or "spirit") and ("Metabolic" or "diabetes" or "high blood pressure" or "hyperlipidemia" or "obesity") for 20 years (1995.09.10 ~ 2015.09.09.) in the web portal address "Web search with the search formula ("constitutional" or "spirit") and ("Metabolic" or "diabetes" or "high blood pressure" or "hyperlipidemia" or "obesity") for 20 years (1995.09.10 ~ 2015.09.09.) in the web portal address "http://web.search.naver.com".Results In the search area of news, blogs, cafes and knowledge-in, the number of searched pages retrieved by the word "constitution" was about 1.78 million. In the news 9760 cases of "obesity", 4046 cases of "hypertension" and 3253 cases of "diabetes" were searched. In Naver Web search Korean medicine clinics related to "constitution" were 24.3%. If we multiple 25.3% to 1000, the actual number of herbal hospitals, The constitution related to Korean medicine clinics is estimated to be approximately 3160 places. Among metabolic disorders, "Overweight", "Diabetes" and "Hypertension" were most frequently searched.Conclusions Constitutional industry related to metabolic diseases is very actively created on the internet in various areas. Among metabolic diseases, obesity, diabetes, hypertension were found with high frequency.

Research on User's Query Processing in Search Engine for Ocean using the Association Rules (연관 규칙 탐사 기법을 이용한 해양 전문 검색 엔진에서의 질의어 처리에 관한 연구)

  • 하창승;윤병수;류길수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.8-15
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    • 2003
  • Recently various of information suppliers provide information via WWW so the necessary of search engine grows larger. However the efficiency of most search engines is low comparatively because of using simple pattern match technique between user's query and web document. A specialized search engine returns the specialized information depend on each user's search goal. It is trend to develop specialized search engines in many countries. However, most such engines don't satisfy the user's needs. This paper proposes the specialized search engine for ocean information that uses user's query related with ocean and the association rules in web data mining can prove relation between web documents. So this search engine improved the recall of data and the precision in existent search method.

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Investment Strategies for KOSPI Index Using Big Data Trends of Financial Market (금융시장의 빅데이터 트렌드를 이용한 주가지수 투자 전략)

  • Shin, Hyun Joon;Ra, Hyunwoo
    • Korean Management Science Review
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    • v.32 no.3
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    • pp.91-103
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    • 2015
  • This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.