• 토지주택연구
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• 제13권4호
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• pp.45-53
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• 2022

본 연구에서는 '아파트 가격'과 '인터넷 검색량' 간의 관계를 분석하였다. 선행 논문들이 '공표된 아파트 가격'과 '인터넷 검색량' 간의 관계만을 검정했던 것에 비해, 본 논문은 '공표된 아파트 가격'을 '본질적 가격 요소'와 '일시적 가격 요소'로 구분하여 '본질적 가격 요소와 인터넷 검색량' 간의 관계, '일시적 가격 요소와 인터넷 검색량' 간의 관계에 대해서도 분석했다는 것이 선행 연구들과의 차별적 측면이다. Granger 인과관계 분석 결과를 보면, '공표된 아파트 가격'과 '인터넷 검색량'이 서로 양방향의 Granger 인과관계를 갖는 것으로 나타났다. 선행논문들에서 연구가 이루어지지 않았던 부분으로서, 아파트 가격의 추세 요소인 '아파트 본질적 가격 요소'도 '인터넷 검색량'과 피드백적 관계를 보였다. 그리고 '아파트 일시적 가격 요소'는 '인터넷 검색량'에 대해 선행관계를 갖는 것으로 나타났다. 아파트 일시적 가격 요소도 인터넷 검색량과 관계가 있다는 것은 아파트시장 참여자들의 '일시적 심리적 측면, 과잉반응에 의해 발생되는 가격 요소'도 인터넷 검색량에 영향을 준다는 것을 의미한다. 본 연구 결과는 아파트 가격의 움직임이 시장참여자들의 관심에 영향을 준다는 의미를 제시하며, 부동산시장 분석 등에 있어서 가격의 움직임, 인터넷 검색량과 같은 자료를 활용해야 한다는 의미를 갖고 있다.

• 한국의상디자인학회지
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• 제8권2호
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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.

• 한국생활과학회지
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• 제18권2호
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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.

• Agribusiness and Information Management
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• 제6권2호
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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.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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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.

• 한국IT서비스학회지
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• 제19권4호
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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.

• 산업경영시스템학회지
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• 제43권2호
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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.

• 사상체질의학회지
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• 제27권4호
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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.

• 한국컴퓨터정보학회논문지
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• 제8권2호
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• pp.8-15
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• 2003

최근 여러 가지 정보들이 WWW를 경유하여 제공되고 있기 때문에 검색엔진의 필요성은 점점 커지고 있다. 그러나 대부분의 검색엔진은 정보의 추출을 위해 웹 문서와 사용자 질의를 단순 패턴비교 방법을 사용함으로써 검색엔진의 효율은 비교적 낮은 편이다. 일반적으로 사용자의 검색 목적에 따라 다른 검색 엔진이 사용되기 때문에 여러 전문검색엔진을 개발하고 있지만 대부분의 검색엔진들이 사용자의 요구를 제대로 반영하고 있지 못하다. 본 연구에서는 웹 데이터마이닝의 연관규칙을 이용하여 사용자 질의를 처리하는 해양전문검색엔진을 제안한다. 데이터 마이닝 분야에서 주로 연구되어온 연관규칙탐사 기법은 지지도와 신뢰도에 따라 연관자료의 확신도를 측정할 수 있기 때문에 웹 문서 사이의 관련성을 입증하는데 이 규칙을 적용하여 기존의 검색 방법에서 자료의 재현률과 정확률을 개선하였다.

• 경영과학
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• 제32권3호
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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.