• 패션비즈니스
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• 제25권2호
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• pp.80-97
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• 2021

In this study, the changes in fashion consumption culture in the post-COVID-19 era were examined through big data analysis. Considering that the Chinese market plays a pivotal role in the global fashion industry, big data was collected in the most famous and professional fashion network in China, LADYMAX.cn. As a result of text mining and social network analysis, three major changes were identified as the emerging fashion consumption culture in the post-COVID-19 era. First, as a trend in new media consumption, COVID-19 disease and the development of digital technology tended to encourage consumers to put more importance on the relationship between bloggers and fans than previously. Second, as a trend in reward consumption, consumers tended to be rewarded for their hard work to relieve and comfort their high stress caused by spending a long time worrying about the prolonged COVID-19 situation. Third, as a trend in home-economy consumption, consumers tended to prefer homewear and sportswear more because they were spending longer times at home as the social distancing period was prolonged.

• 대한한의학원전학회지
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• 제22권4호
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• pp.15-28
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• 2009

Traditional korean medicine which has long history and many clinical experiments stands out in bold relief because the medicine's point of view has been changed from medical treatment to disease protection and the wellbeing life through health care and complementary alternative medicine has been emerged for the incurable disease. Many traditional korean medical research has been conducted in the fields of preventive medical application, leading material drawing and medical service upgrade through eastern and western medical treatment and the more advanced project are being studied as time goes by. But because we have the hardship of manifesting traditional korean medicine's knowledge into detailed data and information in the field of analytical science and we don't have well arranged research trend data of it, researchers are using much time to survey the preceding research and planners needing more accurate research trend data to protect duplication and raise efficiency. So we have studied the traditional korean medicine's research trend to solve this problems by the method of bibliography applied for the preceding project results. Through the analysis of traditional korean medicine's 370 project reports we came to a conclusion that the R&D investment is concentrated on the university and research institute, the utilization projects are lower than basic and applied research, regional snobbism is excessive than the whole nation's R&D and advanced project has been started since 2006.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.2067-2070
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• 2013

Background/Aim: Stomach cancer is the second most common cause of death from all malignant tumors in the world (third in men, fifth in women), with a strong decreasing trend in most developed countries. The aim of this descriptive epidemiological study was to analyze mortality of stomach cancer in Serbia, excluding the Province of Kosovo, in the 1991-2009 period. Materials and Methods: In data analysis, we used mortality rates which were standardized directly using those of the world population as a standard. In order to analyze the mortality trend from stomach cancer, linear trend and regression analysis were used. Confidence intervals (CIs) for the average age-adjusted and age-specific mortality rates were assessed with 95% level of probability. Mortality data were derived from the data file of the Statistical Office of the Republic of Serbia. Results: During the 1991-2009 period, a significant downward trend in mortality of stomach cancer was recorded in Serbia (y=9.78 - 0.13x, p=0.000; average annual percent change was -6.3 (95%CI, -7.8 to - 4.8). During the same period, a significant decrease in mortality trend was found both in male (y=14.13 - 0.20x; p=0.000; % change was -7.7 (95%CI, -10.9 to -4.5) and female populations (y=6.27 - 0.08x; p=0.000; % change was - 4.4 (95%CI, -5.3 to -3.6). Conclusion: Decreasing trends in mortality from stomach cancer in Serbia are similar to those in most developed countries.

• 지능정보연구
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• 제21권1호
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• pp.143-159
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• 2015

불확실한 환경변화에 대처하고 장기적 전략수립을 위해 기업에게 있어서 IT 트렌드에 대한 예측은 오랫동안 중요한 주제였다. IT 트렌드에 대한 예측을 기반으로 새로운 시대에 대한 인식을 하고 예산을 배정하여 빠르게 변화하는 기술의 추세에 대비할 수 있기 때문이다. 해마다 유수의 컨설팅업체들과 조사기관에서 차년도 IT 트렌드에 대해서 발표되고는 있지만, 이러한 예측이 실제로 차년도 비즈니스 현실세계에서 나타났는지에 대한 연구는 거의 없었다. 본 연구는 현존하는 빅데이터 기술을 활용하여 서울지역을 중심으로 지난 8개월동안(2013년 5월1일부터 2013년12월31까지) 정보통신산업진흥원과 한국정보화진흥원에서 2012년 말에 발표한 IT 트렌드 토픽이 언급된 21,589개의 트윗 데이터를 수집하여 분석하였다. 또한 2013년에 나라장터에 올라온 프로젝트들이 IT트렌드 토픽과 관련이 있는지 상관관계분석을 실시하였다. 연구결과, 빅데이터, 클라우드, HTML5, 스마트홈, 테블릿PC, UI/UX와 같은 IT토픽은 시간이 지날수록 매우 빈번하게 언급되어졌으며, 이 같은 토픽들은 2013년 나라장터 공고 프로젝트 데이터와도 매우 유의한 상관관계를 가지고 있는 것을 확인할 수 있었다. 이는 전년도(2012년)에 예측한 트렌드들이 차년도(2013년)에 실제로 트위터와 한국정부의 공공조달사업에 반영되어 나타나고 있는 것을 의미한다. 본 연구는 최신 빅데이터툴을 사용하여, 유수기관의 IT트렌드 예측이 실제로 트위터와 같은 소셜미디에서 생성되는 트윗데이터에서 얼마나 언급되어 나타나는지 추적했다는 점에서 중요한 의의가 있고, 이를 통해 트위터가 사회적 트랜드의 변화를 효율적으로 추적하기에 유용한 도구임을 확인하고자 할 수 있었다.

• 소성∙가공
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• 제29권4호
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• pp.188-193
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• 2020

Piping work of large ships or offshore plants is often done in a narrow and confined space, requiring precise bending and safety. In order to realize an accurate bending angle, it is very important to predict and correct a deformation that may be caused by elasticity in the bending process, that is, an angular deviation due to springback. Therefore, by using CAE analysis to develop a correction angle model for springback based on multiple tube bending angles and using trend line data derived from this correction angle model, at bending the tube as the diameter of the base former and the tube outer diameter change, the springback compensation angle at any angle can be obtained. In this study, the bending mechanism was analyzed to increase the bending precision, and a correction angle model was developed and a trend line was derived in consideration of springback occurring in the bending process. In order to derive a more accurate and reliable trend line, a tube tensile test was performed, and the reliability of the corrected angle trend line was verified by comparing the bending angle measurement and analysis results with a 3D scanner.

• 응용통계연구
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• 제23권5호
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• pp.845-855
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• 2010

의학의 여러 분야의 연관성 연구에서 효율성이 높은 방법으로 채택되고 있는 질병-대조 연구계획을 다수 형제 자료에 근거한 유전연관성 연구에 적용하기 위해서는 가족 자료에 근거한 추세 검정통계량이 요구된다. 독립된 개체에 적용하는 Cochran-Armitage 추세 검정통계량은 가족 자료의 경우 제 1종 오류가 보장되지 않으며, 동일 가족의 다수 형제 자료로 인한 공분산을 감안한 추세 검정통계량이 제시되어야 한다. 본 논문에서는 특히 동일 가족의 질병형제수에 따른 가중을 도입하여 질병과 관련된 마커좌위에서의 유전자형 자료가 수집되는 경우에 검정력이 더욱 높게 되는 검정통계량을 제안한다. 예제 가족 자료로 가중을 고려한 경우와 고려하지 않은 경우의 검정통계량을 계산하여 비교한다.

• Journal of Smart Tourism
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• 제1권2호
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• pp.3-12
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• 2021

The interaction between technology and tourism has been a dynamic research area recently. This study aims to review the progress and development of technology in tourism research via a bibliometric analysis. We derive the source data from the Web of Science (WoS) core collection and use CiteSpace for bibliometric analysis, including countries, institutions, authors, categories, references, and keywords. The analysis results are as follows: i) The number of published articles on the role of technology in tourism has increased in recent years. ii) Technology-related articles in tourism are abundant in Tourism Management, Journal of Travel Research, and Annals of Tourism Research. iii) The countries with the most contributions are China, the US, and the UK. The most active institutions are the Hong Kong Polytechnic University, University of Central Florida, Bournemouth University, University of Queensland, and Kyung Hee University. iv) The reference analysis results identify eight extensively researched topics from the most cited papers, and the keyword burst analysis results present an emerging trend. This study identifies the effect and development of technology in tourism research. Our findings provide implications for researchers about the current research focus of technology and the future research trend of technology in the tourism field.

• 대한간호학회지
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• 제44권6호
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• pp.743-750
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• 2014

Purpose: The objective of this study was to provide a trend analysis of the prevalence of diabetes relative to the socioeconomic, lifestyle, and physiologic risk factors among Korean adults aged over 30 years for a 10-year period using data from the Korean National Health and Nutrition Examination Survey. Methods: Prevalence difference and the slope index of inequality were calculated for each risk factors using binomial regression by considering the repeated cross-sectional features of the data. The prevalence ratio and the relative index of inequality were calculated using log-binomial regression. Linear trend tests were performed using SAS 9.2. Results: Crude prevalence of diabetes increased over the 10-year period, and was higher for men than for women. It was very high for adults 60 years or over, consistently increasing over time. The prevalence among unemployed men, women with higher level of stress, women with hypertension, and adults with serum triglyceride levels over 135 mg/dL increased over the 10-year period in comparison with the respective control group. Conclusion: Considering the rapid economic development and associated lifestyle changes in Korea, action should be taken to control the prevalence of diabetes by both preventing and consistently monitoring these identified risk factors using a public-health approach.

• Agribusiness and Information Management
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• 제11권1호
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• pp.1-9
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• 2019

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• 대한토목학회논문집
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• 제26권4B호
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• pp.355-362
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• 2006

본 연구에서는 수문 및 기후 시계열 자료에 존재하는 경향성을 분석하기 위하여 MK 검정, Spearman's Rho 검정, Linear Regression 검정, 비모수 Cusum 검정, Cumulative Deviation 검정, Worsley Likelihood Ratio 검정, Rank Sum 검정, Student's t 검정 등의 8가지 기법을 사용하였다. 관측된 연 강우량과 유입량 시계열 자료, 나이테 자료 그리고 SOI 자료에 적용하여 그 결과를 비교 분석 하였다. 분석 결과 시계열 자료에는 어떤 기울기를 가지거나 어느 시점을 기준으로 평균이 변화하는 두 가지의 경향성이 존재함을 확인 할 수 있었다. 경향성을 나타낸 8개의 강우자료중 4개 지점이 평균이동(shift)을 나타내었으며, 18개 지역의 나이테 지수중 8개 지역과 월별 SOI자료 중 3, 4월자료에서 경향성의 존재가 확인되었고, 소양강댐 유입량 자료에서는 경향성이 나타나지 않았다. 특히, 나이테 지수의 경우에는 평균이동으로 인한 경향성만을 가지고 있는 자료가 확인되었다. 또한 정상성 검정을 위한 ADF 검정과 비선형성 검정을 위한 BDS 통계검정 기법을 적용하였다. 본 연구를 통하여 여러 경향성 분석 기법을 비교할 수 있었으며, 실제 관측된 수문 및 기후 시계열에 존재하는 경향성을 확인 할 수 있었고, 연구 결과를 통하여 수문시계열 해석시 다양한 분석을 통한 경향성의 존재여부를 확인 하여야 한다는 것을 알 수 있었다.