• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.10
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• pp.1100-1116
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• 2012

Due to the growth of the preschooler clothing industry, significant research has been conducted on the pursued benefits, purchase behavior, and purchase intension related to preschooler clothing; however, reports on the consumption value of preschooler clothing remain limited. This study provides a consumption value for preschooler clothing through qualitative research. A total of 15 mothers of preschoolers aged 1-6 years old were interviewed on the consumption value of preschooler clothing. The subsequent consumption value of preschooler clothing consisted of 9 major factors (vicarious satisfaction value, social display/image value, safety value, convenient value, economic value, distinguishable value, expressive-aesthetic value, fashionable value and conditional value). In addition, the vicarious satisfaction value, social display/image value, safety value, and convenient value were new-expressed values that differed from previous reports on the consumption value of adult clothing.

• Journal of Wetlands Research
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• v.11 no.3
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• pp.133-143
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• 2009

Recently, there have been a lot of studies for the value for wetlands with increased interest about wetlands. However, the value assessment for wetlands was usually conducted for 송 natural wetlands only, without consideration for Dam-wetlands. In this study, we assumed that a dam carried out a function of wetlands and defined such dams as Dam-wetlands. Choice Experiment(CE) was used in value assessment method. Study area of this study is Boryeong-dam. We performed questionnaire survey in six metropolitan cities and Boryeong city for the value assessment of Dam-wetland. The result of questionnaire survey was analyzed using a Conditional Logit(CL) and a Random Parameter Logic(RPL). Therefore, the total values of a Boryeong-dam is estimated as 72.8 billion-won when consider the wetlands of surrounding area.

• Smart Media Journal
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• v.10 no.4
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• pp.28-34
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• 2021

Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

• International Area Studies Review
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• v.17 no.4
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• pp.89-106
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• 2013

In this paper, we analysed the absolute and conditional convergency hypothesis and the determinants of productivity in manufacturing industries from 2000 to 2009 with 16 provinces and metro-cities by using panel analysis. In terms of convergency hypothesis test, the results show that both of the convergency hypothesis, the absolute vs. conditional hypothesis, reject the null hypothesis(H0) implying the labor productivity of the 16 province and metro-cities converged to the steady state equilibrium. Also, the speed of the absolute and conditional convergency for the 16 province and metro-cities are average 4.4% and 0.73% respectively. In addition, the results of the determinants of the labor productivity in manufacturing industry show that human capital and manufacturing location coefficient affect to the value- added per capita significantly, but government expenditure per capita doesn't affect to the value- added per capita. As for the total factor productivity, government expenditure per capita and fixed capital per capita are important factors, but research and development doesn't. Hence the government has to revise the balanced regional development policy to develop regional manufacturing industries for the vulnerable regions. Also, it requires more study regarding income disparities and productivity.

• Journal of Wetlands Research
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• v.6 no.4
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• pp.45-57
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• 2004

This study analyzed the effect of land-use enhancement benefits with the flood safety which it is not quantified in the flood damage analysis, Korea. The land-use enhancement benefits mean the enhancement of land-use value according to the rise of flood safety of the protected area by the flood control projects and we performed the analysis of land-use enhancement benefits with the publicly announced land price which can objectively represent the land-use value of a specific area. We verified the statistical significance of the floating rate of land price according to the effects of flood control projects and the characteristics of a river through the analysis of variance. As a result of the verification, the increase of land-use value was represented by the net annual average floating rate of land price. The flood safety was classified as flood damage potential and flood prevention capacity. The flood damage potential was classified according to the rate of urbanization and flood prevention capacity was represented by the conditional annual non-exceedance probability obtained from the frequency analysis with uncertainty for the flood discharge. The study areas were small urban cities and we calculated the conditional annual non-exceedance probabilities of 200-year flood event for the levees constructed with the conditions of 10- and 50-year design frequency. The result was shown that the net annual average floating rate of land price would be raised nearly 5 times for 10%-increase of the conditional annual non-exceedance probability in small city areas.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.965-980
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• 2011

In this paper, the use of conditional Fuzzy C-Means (CFCM) aimed at estimation of desired states of an unknown digital communication channel is investigated for blind channel equalization. In the proposed CFCM, a collection of clustered centers is treated as a set of pre-defined desired channel states, and used to extract channel output states. By considering the combinations of the extracted channel output states, all possible sets of desired channel states are constructed. The set of desired states characterized by the maximal value of the Bayesian fitness function is subsequently selected for the next fuzzy clustering epoch. This modification of CFCM makes it possible to search for the optimal desired channel states of an unknown channel. Finally, given the desired channel states, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In a series of simulations, binary signals are generated at random with Gaussian noise, and both linear and nonlinear channels are evaluated. The experimental studies demonstrate that the performance (being expressed in terms of accuracy and speed) of the proposed CFCM is superior to the performance of the existing method exploiting the "conventional" Fuzzy C-Means (FCM).

• Journal of the Korean Society of Food Culture
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• v.23 no.4
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• pp.462-468
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• 2008

In this study, we assessed college students' consumption values with regard to a seaweed functional food, and compared differences between the respondents' purchasing intentions and their educational levels. A self-administered questionnaire was designed and distributed to college students in Daegu/Kyungbook province. A total of 288 questionnaires were collected, and the total response rate was 96.0%. The results demonstrated that purchasing intention influenced all five consumption values. The high purchasing intention (HPI) group evidenced greater functional value, social value, emotional value, conditional value, and epistemic value than was observed in the low purchasing intention (LPI) group. However, individuals' educational levels, as related to food, influenced only the functional value and epistemic value. These results demonstrate that college students' consumption value in terms of seaweed functional foods is affected by purchasing intentions and educational experience.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1065-1074
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• 2011

During several decades, many researchers in the field of finance have studied Value at Risk (VaR) to measure the market risk. VaR indicates the worst loss over a target horizon such that there is a low, pre-specified probability that the actual loss will be larger (Jorion, 2006, p.106). In this paper, we compare conditional copula method with two conventional VaR forecasting methods based on simple moving average and exponentially weighted moving average for measuring the risk of the portfolio, consisting of two domestic stock indices. Through real data analysis, we conclude that the conditional copula method can improve the accuracy of portfolio VaR forecasting in the presence of high kurtosis and strong correlation in the data.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.1 s.139
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• pp.68-78
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• 2005

The purpose of this study was to examine the women consumers' clothing consumption value and involvement according to size of the city. 538 females living in Seoul(large city) and Jecheon(small city) were surveyed for this study. For data analysis, factor analysis, t-test, and regression were used. For clothing consumption value, five factors of value were founded and labeled as functional, emotional, epistemic, social and conditional value. Three factors of clothing involvement were also identified as clothing/fashion, symbolism and reasonability involvement. Size of the city influenced total clothing consumption value and involvement. Also, size of the city influenced clothing consumption value and involvement factors. When the cities were divided into two groups(large and small city), they showed different clothing consumption values and involvements according to the demographic variables.

• The Korean Journal of Applied Statistics
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• v.23 no.4
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• pp.651-668
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• 2010

Various estimators of two risk measures of a specific financial portfolio, Value-at-Risk and Expected Shortfall, are compared for each case of 1-day and 10-day horizons. We use the Korea Composite Stock Price Index data of 20-year period including the year 2008 of the global financial crisis. Indexes of five foreign stock markets are also used for the empirical comparison study. The estimator considering both the heavy tail of loss distribution and the conditional heteroscedasticity of time series is of main concern, while other standard and new estimators are considered too. We investigate which estimator is best for the Korean stock market and which one shows the best overall performance.