• Journal of Korea Water Resources Association
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• v.40 no.8
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• pp.629-641
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• 2007

This study estimated the urbanization effect of Seoul, the largest city in Korea, on its rainfall. For a comparative analysis, two different data sets are used: One is the precipitation data at the Jeonju rain gauge station, which has a relatively long record length but least urbanization effect, and the other at the Ichon rain gauge station, which has a short record length but located very near to Seoul with least urbanization effect. Also, the difference of the rainfall between Seoul and Jeonju rain gauge stations, as an indicator of urbanization effect, is quantified by use of the intervention model. As a result, it was found that the maximum rainfall intensity of the annual maximum rainfall events shows the increasing trend, its duration the decreasing trend, and the mean intensity the decreasing trend especially after 1960. Also, the quantification of urbanization effect using the intervention model shows that the increasing trend of rainfall intensity and total volume is still on going.

• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.547-558
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• 2008

This study aims on observing the social recognition and its aspects for men taking care of their outer appearances at current point where men are rapidly rising as the main consumer in the beauty industry while their interest for outer appearances are increasing. Therefore, we observed the overall trend and changes in social recognition for male looks by analyzing the contents of newspaper articles from 1990 to 2005 that play the critical role of spreading new information trend while reflecting the interest of people of a certain era. As a result, articles related to male looks were divided into fashion, hair, skin and cosmetics, physical image, cosmetic surgery, trend related to male looks, and male oriented stores and sites, and among them, articles related to fashion and skin took up the highest ratio. Especially articles related to the trend took up the largest ratio as it reflects the properties of two industries launching new products. Moreover, articles related to male looks tended to increase generally according to timely changes, and rapidly increased especially since 2000.

• Journal of Drive and Control
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• v.12 no.1
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• pp.29-33
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• 2015

• Health Policy and Management
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• v.29 no.1
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• pp.86-89
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• 2019

Catastrophic health expenditure refers to spending more than a certain level of household's income on healthcare expenditure. The aim of this study was to investigate the proportion of households that experienced catastrophic health expenditure between 2006 and 2017 with the National Survey of Tax and Benefit (NaSTaB) and between 2011 to 2016 using Households Income and Expenditure Survey (HIES) data. The results of the NaSTaB showed 2.16% of households experienced the catastrophic health expenditure in 2017. In trend analysis, the NaSTaB revealed a statistically significant decreasing trend (annual percentage change [APC] = -2.01, p<0.001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92% of households experienced the catastrophic health expenditure in 2016. Also, there was a slightly increasing trend (APC= 1.43, p<0.001). In subgroup analysis, groups with lower income levels were likely to experience catastrophic health expenditure. In conclusion, further public support system is needed to lower experience these healthcare expenditures and monitor the low income group.

• Korean journal of food and cookery science
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• v.28 no.4
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• pp.451-461
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• 2012

The purposes of this study were to examine the financial statements and analyze the financial soundness of contract foodservice management companies(CFMC) using the financial ratio. The statistical data analysis was completed using Microsoft Excel(ver.2007) for the trend line equation and using SPSS Win(ver.18.0) for wilcoxon-rank sum test. Increased asset, debt, capital and sales occurred in most of the CFMCs, but the financial trend of firm D decreased for operating profit and net profit. The financial ratio for investigating a firm's financial soundness was based on liquidity, stability, profitability, activity, and growth through financial statements. Most of the CFMCs had maintained outstanding financial soundness from 1999 to 2011. The financial statements during the decade were verified and fluctuated. The directly affected CFMCs by a school foodservice' sanitation accident had maintained better financial statements than those of other CFMCs. Therefore, there was opportunity for directly affecting CFMCs involved in school foodservice' sanitation accident to diversify the business portfolio of the firms.

• Clean Technology
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• v.15 no.3
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• pp.210-223
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• 2009

As a kind of an energy source to replace petroleum, the importance of oilsands is being emphasized as time goes on. In this paper, the trend of technology for the treatment of oil from oilsands was scrutinized using the patent analysis. The patents analyzed here were limited to them issued from 1973 to 2009. The technology trend of oil treatment of oilsands was analyzed by classifying each patent based on the year of publication, the country, the type of technology, and the major applicant of the patent.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.109-117
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• 2010

The ultimate purpose of this study is to propose a method to improve water supply management efficiency which is one of the two main approaches to solve the water supply-related problems. As an effort, targeting commercial water, a series of efforts was performed such as choosing a field area, selecting a sensing point, installing a sensor and server systems, and monitoring the real time data. Through the analyses of the real time data gathered, a series of water consumption trend analysis models were developed for each day and for each month. And Also proposed are the related utilization of the developed trend analysis models and a GIS. As a result of the aforementioned research, the proposed trend analysis technique is expected to offer some important role for the water supply forecasting agministation and management.

• Journal of Soil and Groundwater Environment
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• v.21 no.4
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• pp.30-41
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• 2016

The amount of groundwater related data is drastically increasing domestically from various sources since 2000. To justify the more expansive continuation of the data acquisition and to derive valuable implications from the data, continued employments of sophisticated and state-of-the-arts statistical tools in the analyses and predictions are important issue. In the present study, we employed a well established machine learning technique of Gaussian Process Regression (GPR) model in the trend analyses of groundwater level for the long-term change. The major benefit of GPR model is that the model provide not only the future predictions but also the associated uncertainty. In the study, the long-term predictions of groundwater level from the stations of National Groundwater Monitoring Network located within Han River Basin were exemplified as prediction cases based on the GPR model. In addition, a few types of groundwater change patterns were delineated (i.e., increasing, decreasing, and no trend) on the basis of the statistics acquired from GPR analyses. From the study, it was found that the majority of the monitoring stations has decreasing trend while small portion shows increasing or no trend. To further analyze the causes of the trend, the corresponding precipitation data were jointly analyzed by the same method (i.e., GPR). Based on the analyses, the major cause of decreasing trend of groundwater level is attributed to reduction of precipitation rate whereas a few of the stations show weak relationship between the pattern of groundwater level changes and precipitation.

• Journal of Fashion Business
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• v.6 no.5
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• pp.59-71
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• 2002

The purpose of this study was 1) to analyze the consumers' preference on the recent trend in men's wear according to their lifestyle and 2) to suggest a suitable direction for men's wear planning based on the lifestyle analysis. A survey was applied to obtain the data set responded from 310 male subjects who were aged between thirties and fourties. The main results of this study are summarized as follows: 1) Five types of recent fashion trends were identified through a qualitative analysis on the recent men's wear trend, which were 'Modern classic casual', 'Retro traditional casual', 'Authentic/Ethnic casual', 'Urban dandy street casual' and the 'Refined sportive casual'. 2) The three types of the respondents' lifestyle were identified in this research and named as 'pursuing sense', 'pursuing tradition' and 'conservative indifference'. Examining the preference on fashion trends according to subjects' lifestyle and etc., the preference level of the 'pursuing sense' group on trend was, in general, higher than that of the two other lifestyle groups. The most preferred trend style of 'pursuing sense' group was the 'Modern Classic'. Finally, a suitable direction for men's wear planning was suggested on the result of analysis in this research.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.17-30
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• 2009

In this study, the existence of possible deterministic longterm trend of precipitation amount, monthly maximum precipitation, rain day, the number of rain day greater than 20mm, 30mm, and 80mm was analyzed using the Mann-Kendall rank test and the data from 62 stations between 1905 and 2004 in South Korea. Results indicate that the annual and monthly rainfall amount increases and the number of rain days which have more than 80mm rainfall a day, increases. However the number of rain days decreases. Also, monthly trend analysis of precipitation amount and monthly maximum precipitation increases in Jan., May, Jun., Jul., Aug., and Sep. and they decrease in Mar., Apr., Oct., Nov., and Dec. Monthly trend of the number of rain day greater than 20mm, 30mm, and 80mm increases in Jun., Jul., Aug., and Sep. However results of Mann-Kedall test demonstrated that the ratio of stations, which have meaningful longterm trend in the significance level of 90% and 95%, is very low. It means that the random variability of the analyzed precipitation related data is much greater than their linear increment.