• Nuclear Engineering and Technology
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• 제52권1호
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• pp.211-221
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• 2020

One fundamental element of probabilistic safety assessment (PSA) is the initiating event (IE) analysis. Since IE frequencies can change over time, time-trend analysis is required to obtain optimized IE frequencies. Accordingly, such time-trend analyses have been employed to estimate industry-average IE frequencies for use in the PSAs of U.S. nuclear power plants (NPPs); existing PSAs of Korean NPPs, however, neglect such analysis in the estimation of IE frequencies. This article therefore provides the method for and results of estimating Korean industry-average IE frequencies using time-trend analysis. It also examines the effects of the IE frequencies obtained from this study on risk insights by applying them to recently updated internal events Level 1 PSA models (at-power and shutdown) for an OPR-1000 plant. As a result, at-power core damage frequency decreased while shutdown core damage frequency increased, with the related contributions from each IE category changing accordingly. These results imply that the incorporation of time-trend analysis leads to different IE frequencies and resulting risk insights. The IE frequency distributions presented in this study can be used in future PSA updates for Korean NPPs, and should be further updated themselves by adding more recent data.

• 한국의류학회지
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• 제42권4호
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• pp.708-725
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• 2018

The advancement of digital technology has made changes in the fashion system and trend development process inevitable. This article clarifies changes in the modern fashion industry system and the causes of comprehensive changes that result from the development of digital technology. The methodology of this study is based on literature and case studies based on the information magazine most used by fashion industry workers. This study classifies fashion systems into 5 types and 14 types in detail. The study results indicate the way to change the fashion style trend schedule per year, fast/ultrafast fashion system, fashion rental system, DTC system and change of fashion system by consumer participation. The causes of the changes in fashion system are indicated that an increase of trend sensitivity due to an increase in the diffusion rate of information, expansion of expression of personality through digital network, increase of possibility of grouping of small number of tastes and change of prosumer possible changes in the environment. This study provides basic data on fashion system research and the construction of an appropriate response strategy for a changing environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3221-3242
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• 2021

The purpose of the study is to examine the current study trend of 'QR code' and suggest a direction for the future study of big data analysis: (1) Background: study trend of 'QR code' and analysis of the text by subject field and year; (2) Methodology: data scraping and collection, EXCEL summary, and preprocess and big data analysis by R x 64 4.0.2 program package; (3) the findings: first, the trend showed a continuous increase in 'QR code' studies in general and the findings were applied in various fields. Second, the analysis of frequent keywords showed somewhat different results by subject field and year, but the overall results were similar. Third, the visualization of the frequent keywords also showed similar results as that of frequent keyword analysis; and (4) the conclusions: in general, 'QR code' studies are used in various fields, and the trend is likely to increase in the future as well. And the findings of this study are a reflection that 'QR code' is an aspect of our social and cultural phenomena, so that it is necessary to think that 'QR code' is a tool and an application of information. An expansion of the scope of the analysis is expected to show us more meaningful indications on 'QR code' study trends and development potential.

• 창의정보문화연구
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• 제6권1호
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• pp.23-30
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• 2020

본 논문은 융복합 논문지인 창의정보문화연구의 연구 동향을 분석하기 위한 목적으로 텍스트 마이닝 방법을 활용하였다. 기존의 연구동향 분석방법은 전통적인 내용분석 방법을 사용하여 연구자 개인의 성향이 반영되는 한계가 있었다. 따라서, 기존 연구 동향 분석의 한계를 보완하고자 본 논문에서는 토픽 모델링 기법을 사용하였고, 창의정보문화연구 논문지의 2015년에서 2019년까지 발간된 논문 전체의 영문초록을 분석하였다. 분석 결과, 가장 많이 등장한 단어는 "education"이었고, 8개의 연구 주제가 도출되었다. 도출된 주제는 교육대상, 교육평가, 학습자역량, 소프트웨어와 메이커 문화, 정보교육과 컴퓨터교육, 미래교육, 창의성, 교수학습방법으로 분석되었다. 본 논문의 텍스트 마이닝을 활용하여 융복합연구 논문지의 연구동향을 분석하였다는 점에서 의의가 있다고 할 수 있다.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• 패션비즈니스
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• 제26권3호
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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.

• 한국해안·해양공학회논문집
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• 제28권2호
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• pp.109-115
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• 2016

우리나라 동해안 6개 관측점에서 장기간 관측된 파랑자료를 이용하여 폭풍파의 출현 추세를 검토하였다. 한국해양과학기술원의 4개 정점(속초, 묵호, 후포, 진하)에서는 관측기간 동안 유의파고의 연별 평균값과 최대값의 주목할 만한 추세가 나타나지 않았다. 또한, 폭풍파의 연별 출현 횟수는 진하에서만 완만한 증가 추세가 나타났고 나머지 세 정점에서는 감소 추세를 보였다. 그러나 기상청 동해부이의 경우 유의파고의 연별 평균값과 최대값 및 폭풍파 연별 출현횟수가 2009년 이후로 매우 급격하게 증가하는 경향이 나타났으며 해당 자료의 연속성이 확보되지 않은 것으로 확인되었다.

• 동의생리병리학회지
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• 제26권5호
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• pp.615-620
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• 2012

This research aims to analyze the trend of subhealth and meebyung(未病) research as a method of network analysis from 2007 to 2011 in China. A total of 3,933 papers were involved in analysis from 5,465 searched papers, which title have '未病', '亞健康' in CNKI (China National Knowledge Infrastructure). It is carried out that counts annual paper number, authors' publicized papers, and journals paper number related to subhealth. Network analysis was performed to reveal collaboration research trend and relations between Authors, Affiliations, and Regions. As a result, Number of related studies have increased for the last 5 years. East and south regions of China, which include Beijing, Guangxi, and Zhejiang have participated most in their studies, and also as collaborated researches. As affiliations, Researches done by College of Traditional Chinese medicine and their hospital's collaborations are most counted. Because of distance limit, many colleges or institutes seem to make contacts with nearby affiliations. This study is the first attempt to perform network analysis on subhealth research trend in CNKI. This study would contribute to related studies in case of network analysis method.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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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.

• 한국의류학회지
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• 제39권5호
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• pp.745-754
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• 2015

This study analyzed Korean middle-aged men's fashionable styles according to ageless trends as their representative characteristic and deriving their special features from men's magazines. Literature and case studies were conducted together. The research findings are as follows. First, it showed uniformity, conformity, passive clothing selection and consumption in 1990s as characteristics of middle-aged men's wear by period. However, clothing became an expressive way to pursue individuality and an ageless trend gradually, and middle-aged men positioned themselves as subjects of a consumer market for men's wear after 2010 through active clothing selection and consumption. Second, along with a trend change preferring a comfortable and active to formal atmosphere, it showed that casual style became diversified and segmented gradually in Korean middle-aged men's ageless trend and fashionable style. Third, as for formative characteristic changes in middle-aged men's fashionable style by period, it contained a slim silhouette, bright and splendid colors and patterns, increase of light, active and functional materials, generalization of casual items and pursuit of individuality by various mix & match styles. Fourth, in Korean men's ageless trend and changing fashionable style, four kinds of special characteristics were derived that included a change of the traditional clothing symbolism, weakened conformity & pursuit of personality, obscured boundaries between age and wearing style, and active embracing of a trend.