• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.2 s.2
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• pp.1-11
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• 2004

The purpose of this study was to analyze the hair style trend in the respect of fashion trend in 1960s. The study also attempted if there were significant influences to current hair designers and hair styles as beehive, mods hair, short cut. geometric cut, wigs, natural hair, unisex hair. This study is a descriptive study, involving the collection of picture data and examine the art of the 1960's. Because 1960's is a revolutionary decade in the way of living and fashion trend. This study also adopted review of literature and analysis of magazines. 1960's was a period of major street fashion as Mods, Jackie Look, Miniskirt, Pop Art, Op Art Look, Space Look, Hippie Look, Unisex Look. The results of this study can be summarized as follows: 1) A review of literature had shown that little or no studies for an in depth analysis of 1960's fashion trend and hair design. 2) During the sixties, the trend of fashion and hair style were remarkable change in the way of living. 3) There were strong influences hair styles of 1960's until today.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.122-123
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• 2018

Although the disaster rate of the industry as a whole is on a downward trend, the disaster rate of the construction industry is on an ongoing trend. Therefore, in this study, we analyzed safety accident statistical data of the construction site over the past three years. As a result of the analysis, the incidence of disasters at small construction sites was very high. And the proportion of disaster occurred for workers who worked in less than 6 months even roughly 92.6%. In addition, as a result of analyzing the form of disaster occurrence, the crash was 34.1% and the fall was 15.1%. The analysis results of these construction safety accidents are to provide as a basic material for developing a policy that can prevent safety accidents and a safety accident prediction model.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.123-130
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• 2018

With the emergence of a new paradigm called Open Science and Big Data, the need for data sharing and collaboration is also emerging in the computational science field. This paper, we analyzed data-driven research cases for computational science by field; material design, bioinformatics, high energy physics. We also studied the characteristics of the computational science data and the data management issues. To manage computational science data effectively it is required to have data quality management, increased data reliability, flexibility to support a variety of data types, and tools for analysis and linkage to the computing infrastructure. In addition, we analyzed trends of platform technology for efficient sharing and management of computational science data. The main contribution of this paper is to review the various computational science data repositories and related platform technologies to analyze the characteristics of computational science data and the problems of data management, and to present design considerations for building a future computational science data platform.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.1-12
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• 2016

This study examines academic research trends and the change of patterns by analyzing researches related to hospital management registered in Korea Citation Index(KCI) from 2010 to 2014 and offers basic information for interests and future research demands in the field of hospital management As research subjects, a total of 694 published articles were selected. It's to analyze them by dividing into research topics, methods and author's characteristics, and to present them by classifying the period into 2010-2011, 2012-2013, 3rd quarter of 2014 since there was no significant difference in the result between adjacent years. As a result, Korean Journal of Hospital Management has accounted for the highest published rate year after year. In the research topic analysis, it showed a decreasing trend in these research topics as medical marketing and patient satisfaction which became the biggest issue in 2010-2011 significantly were lower in 2014, but an increasing trend in job satisfaction, job stress, labor administration and workforce productivity. The most frequently cited keywords were hospital employees, job satisfaction, organizational commitment, job stress, turnover intention. According to the research method analysis, the survey was the most popular method for data collection. However, Interview and medical records as data sources showed a decline trend. As analysis methods, multivariate analysis of quantitative methods was most used. Finally, as a result of analyzing main author's characteristics, the ratio of the authors belonging to health administration and nursing departments of the academic world increased gradually. In the regional distribution, organizations in Seoul are most common, those in Daegu Gyeongbuk areas, foreign organizations showed a tendency to decrease. This is the first study to examine the annual trend on hospital management-related research issues among articles published in domestic journal and we found qualitative and quantitative advances in hospital management research filed.

• Journal of Korean Society of Disaster and Security
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• v.13 no.3
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• pp.15-28
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• 2020

Hydrological data is very important in understanding the hydrological process and identifying its characteristics to protect human life and property from natural disasters. In particular, hydrological analysis are often performed assuming that hydrological data are stationary. However, recently climate change has raised the issue of climate stationary, and it is necessary to analyze the nonstationary of the climate. In this study, a method to analyze the stationarity of hydrological data was examined using the annual precipitation of 37 meteorological stations with long - term record data. Therefore, in this study, the stationary was determined by analyzing the persistence, trend, and stability using annual precipitation. Overall results showed that a trend was observed in 4 out of 37 stations, stable was investigated at 15 stations, and persistence was shown at 4 stations. In the stationary analysis using the annual precipitation data, 25 stations (67% of 37 stations) were nonstationary.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.169-175
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• 2014

The ICT (information and communication technology) paradigm shift, including the burgeoning use of mobile, SNS, and smart devices, has resulted in an explosion of data along with lifestyle changes. We have thus arrived at the age of big data. In the meantime, a number of difficulties have arisen in terms of cost or on the technical side with respect to the use of large quantities of data. However, big data has begun to receive attention with the advent of efficient big data technologies such as Hadoop. In this paper, we discuss the patent analysis of big data platform technology research and development in major countries. Especially, we analyzed 2,568 patent applications and registered patents in four countries on December 2010.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.134-141
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• 2012

It is difficult to find an appropriate ordering policy for a many types of items. One of the reasons for this difficulty is that each item has a different demand trend. We will classify items by shipment trend and then decide the ordering policy for each item category. In this study, we indicate that categorizing items from their statistical characteristics leads to an ordering policy suitable for that category. We analyze the ordering policy and shipment trend and propose a new method for selecting the ordering policy which is based on finding the strongest relation between the classification of the items and the ordering policy. In our numerical experiment, from actual shipment data of about 5,000 items over the past year, we calculated many statistics that represent the trend of each item. Next, we applied the canonical correlation analysis between the evaluations of ordering policies and the various statistics. Furthermore, we applied the cluster analysis on the statistics concerning the performance of ordering policies. Finally, we separate items into several categories and show that the appropriate ordering policies are different for each category.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.125-147
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• 2024

This study aims to analyze consumer perceptions of the metaverse platform and luxury fashion brands in relation to consumer lifestyles, thereby providing foundational data for future marketing strategies of fashion brands using the metaverse. A survey on the lifestyle and perceptions of the metaverse, as well as on luxury fashion brands, was conducted among 300 men and women between their 20s and 40s. Statistical analyses included frequency analysis, cross-tabulation, chi-square (χ²) analysis, factor analysis, cluster analysis, one-way ANOVA, and Duncan's post-hoc test. Factor analysis of the participants' lifestyles revealed five distinct types: "Indifferent," "Social, individual, and leisure-oriented," "Trend-leading and brand-oriented," "Appearance and fashion-oriented," and "Self-improvement-focused and individualistic" types. The analysis of luxury fashion brand perceptions based on lifestyle types showed that the "Trend-leading and brand-oriented" type had higher awareness and preference for brands such as Gucci, Burberry, and Balenciaga, while the "Indifferent" type showed lower levels of awareness and preference. Regarding brand perception related to luxury fashion brand content experiences within the metaverse, Gucci, Burberry, and Balenciaga showed consistent results across all types. Specifically individuals classified under the "Trend-leading and brand-oriented" category exhibited higher awareness and preference for these brands within metaverse experiences, while those categorized as "Indifferent" displayed comparatively lower levels. Therefore, digital marketing strategies targeting consumers under the "Trend-leading and brand-oriented" category are expected to be highly effective for luxury fashion brands. This study is poised to contribute to the expansion of the marketing landscape within the metaverse virtual world for fashion.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1421-1426
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• 2016

Background: There is a considerable lack of understanding of oral cancer incidence, especially its time trend in Iran. In this study, the authors aimed to analyze time trend of oral cancer incidence with a focus on differences by gender in a period of six years - from 2005 to 2010. Materials and Methods: Both population-based cancer registry and national cancer registry (NCR) data based on pathologic reports from 2005 to 2010 were obtained from the Ministry of Health and Medical Education (MOHME). Population data were also received from Statistical Centre of Iran. Age-standardized incidence rates (ASRs) based on the World Standard Population were then calculated. Finally, Negative Binomial regression was run for time trend analysis. Results: The maximum ASR for males was calculated as 2.5 per 100,000 person-years in 2008 and the minimum was observed as 1.9 per 100,000 person-years in 2005 and 2006. Meanwhile, the maximum ASR for females was estimated as 1.8 per 100,000 person-years in 2009 and the minimum was calculated as 1.6 per 100,000 person-years in 2005 and 2006. Additionally, in females, incidence risk ratio (IRR) did not show a clear decreasing or increasing trend during the six years. Nevertheless, in males an increasing trend was observed. The maximum IRR adjusted for age group and province, for females was reported in 2009 (IRR=1.05 95% CI: 0.90-1.23), and for males was estimated in 2010 (IRR=1/2 95% CI: 1.04 - 1.38). Conclusions: Our findings highlight disparities between oral cancer incidence trends in males and females over the six years from 2005 to 2010.

• Health Policy and Management
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• v.30 no.1
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• pp.126-130
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• 2020

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2018 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of household with catastrophic healthcare expenditure. The households experienced the catastrophic health expenditure 2.08% in 2018 using the NaSTaB data. Trend analysis was significant with the decreasing trend (Annual Percentage Change [APC], -4.88; p<0.0001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92%, and KHP showed 2.48% of households experienced the catastrophic health expenditure in 2016. The trend was significantly increased in HIES (APC, 1.43; p<0.0001) and KHP (APC, 6.68; p<0.0001). Therefore, this suggests that further interventions to alleviate the burden of catastrophic health expenditure to the low-income group are needed.