• KSBB Journal
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• v.16 no.4
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• pp.381-388
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• 2001

A program for integrated gene expression profile analysis such as hierarchical clustering, K-means, fuzzy c-means, self-organizing map(SOM), principal component analysis(PCA), and singular value decomposition(SVD) was made for DNA chip data anlysis by using Matlab. It also contained the normalization method of gene expression input data. The integrated data anlysis program could be effectively used in DNA chip data analysis and help researchers to get more comprehensive analysis view on gene expression data of their own.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.111-122
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• 2012

This study analyzed the differences in value perception and purchasing intention for natural cosmetics by LOHAS class and investigated what influences people's value perception for natural cosmetics had on their purchasing intention. Total 450 questionnaires were distributed to adults of over 20s to 50s for the period from Dec. 1, 2011 to Dec. 14 and 410 questionnaires were used as analysis data. As for collected data, the statistical package SPSS 18.0 Version was used for factor analysis, frequency analysis, reliability test, one-way ANOVA, Chi-Square test, Scheffe-test, correlations analysis and multiple regression analysis. LOHAS class was divided into three groups (higher, middle and lower) based on LOHAS index. Through factor analysis, the value perception for natural cosmetics were divided into three factors (social value, emotional and functional value perception). The results of this study were obtained as below. First, in case of the value perception for natural cosmetics by LOHAS class, it was demonstrated that the higher LOHAS classes they were, the higher value perception for natural cosmetics (social, emotional and functional value perception) they had. Second, in case of the effects of the value perception for natural cosmetics by LOHAS class on their purchasing intention (intention to use and recommendation of usage), it was found that their value perception influenced their purchasing intention. Social value perception and functional value perception, especially social value perception largely affected the purchasing intention of all LOHAS classes, while emotional value perception didn't affected the purchasing intention.

• Journal of the Korean Solar Energy Society
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• v.29 no.6
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• pp.102-109
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• 2009

The research on meteorological data in Korea has been carried out but without much consistency and has been limited to some areas only. Of relatively more importance has been the area in the utilization of the solar energy, however, the measurement of the global solar horizontal irradiation has been quite limited. In the current study, the actually measured value of the global solar horizontal irradiation from the meteorological data and the theoretically calculated value of the global solar horizontal irradiation from the cloud amount will be analyzed comparatively. The method of analysis will employ the standard meteorological data drafted by the Korean Solar Energy Society, the standard meteorological data from the presently used simulation program and the corresponding results have been compared with the calculated value of the global solar horizontal irradiation from the cloud amount. The results of comparing the values obtained from MBE(Mean Bias Error), RMSE(Root Mean Squares for Error), t-Statistic methods and those from each of the standard meteorological data show that the actually measured value of the meteorological data which have been converted into standard meteorological data with the help of the ISO TRY method give the monthly average value of the global solar horizontal irradiation. These values compared with the monthly average value from the IWEC from the Department of Energy of the USA show that the value of the global solar horizontal irradiation in the USA is quite similar. In the case of the values obtained from calculation from the cloud amount, the weather data provided by TRNSYS, except only slight difference, which means that the actually measured values of the global solar horizontal irradiation are significant. This goes to show that in the case of Korea, the value of the global solar horizontal irradiation provided by the Korea Meteorological Administration is will be deemed correct.

• Ocean and Polar Research
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• v.43 no.1
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• pp.1-14
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• 2021

In this study, extreme wind speeds in the Western North Pacific (WNP) were estimated using reanalysis wind fields synthesized with an empirical typhoon vortex model. Reanalysis wind data used is the Fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) data, which was deemed to be the most suitable for extreme value analysis in this study. The empirical typhoon vortex model used has the advantage of being able to realistically reproduce the asymmetric winds of a typhoon by using the gale/storm-forced wind radii information in the 4 quadrants of a typhoon. Using a total of 39 years of the synthesized reanalysis wind fields in the WNP, extreme value analysis is applied to the General Pareto Distribution (GPD) model based on the Peak-Over-Threshold (POT) method, which can be used effectively in case of insufficient data. The results showed that the extreme analysis using the synthesized wind data significantly improved the tendency to underestimate the extreme wind speeds compared to using only reanalysis wind data. Considering the difficulty of obtaining long-term observational wind data at sea, the result of the synthesized wind field and extreme value analysis developed in this study can be used as basic data for the design of offshore structures.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.280-291
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• 2021

The purpose of this study is to investigate the effect of marathon service quality on service value and participant satisfaction. For data analysis, a total of 350 questionnaires were distributed to participants in the marathon, and a total of 329 (94%) data were used as valid samples, excluding 21 unscrupulous responses. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis were performed using PASW 21.0. This resulted in the following results. First, marathon service quality has an effect on service value. Second, marathon service quality had an effect on satisfaction. Third, service value influenced participant satisfaction.

• The Journal of Bigdata
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• v.8 no.1
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• pp.35-47
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• 2023

It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.

• Journal of Environmental Impact Assessment
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• v.18 no.1
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• pp.31-39
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• 2009

A lot of data which are used in environment analysis of air pollution have characteristics that are distributed continuously in space. In this point, the collected data value such as precipitation, temperature, altitude, pollution density, PM10 have spatial aspect. When geostatistical data analysis are needed, acquisition of the value in every point is the best way, however, it is impossible because of the costs and time. Therefore, it is necessary to estimate the unknown values at unsampled locations based on observations. In this study, spatial interpolation method such as local trend surface model, IDW(inverse distance weighted), RBF(radial basis function), Kriging were applied to PM10 annual average concentration of Seoul in 2005 and the accuracy was evaluated. For evaluation of interpolation accuracy, range of estimated value, RMSE, average error were analyzed with observation data. The Kriging and RBF methods had the higher accuracy than others.

• Journal of the Korean housing association
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• v.5 no.2
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• pp.65-75
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• 1994

The purpose of this study was analyzed that the house purchasing behavior had on influence on the housing value and the life-style factors. For this purpose, the data were collected by using questionnaire distributed to 251. The data were analyzed by Factor Analysis, Pearson's Correlation Analysis and Multiple Regression Analysis. The major findings of this research were as follow: 1. The housing value factors were classified into condition of location, safety, esthetic, economic and prestige and human relation and approach. The housing life-style factors were classified into ostentation. 2. The house purchasing behavior were correlated with the housing value and the life-style factors. 3. The house purchasing behavior had an influence on the housing value and the life-style factors.

• Korean Journal of Human Ecology
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• v.17 no.5
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• pp.927-938
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• 2008

The purpose of this study was to classify self-efficacy typology and analyze the relationship between self-efficacy and consumption value of college students as consumers. Data were gathered by surveying college students living in Daegu and Kyungbook area using convenient sampling. 513 questionnaires were used in the statistical analysis. Data were analyzed by frequency, factor analysis, cluster analysis, correlation analysis, ANOVA, and Duncan-test. The findings are as follows. The self-efficacy typologies of college students were classified into three groups such as challenging confident accomplish oriented, stable uncertain accomplish oriented, and stable accomplish oriented. In the relationship of the self-efficacy was related to the sub-variables of consumption value. The self-efficacy oriented group showed different all the sub-variables of consumption value factors.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.231-236
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• 2006

The purpose of this study is to make realistic analysis of qualitative value for apartment view. This study is conducted in two ways. First, 6 apartment complexes in Daegu metropolitan city are selected as research subject. And then the following 4 activities are made in order: picture-data establishment, declared-price research, market-price research, and survey. Second, realistic analysis of qualitative value included in apartment price is made based on the above data. And then the value is compared with apartment's declared price which is a current tax index. The result shows that the view value included in apartment price is realistically different depending on many variables such as story/side, plot planning of apartment complex, view element, unlike the declared price mainly focused on story.