• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.73-82
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• 2011

This study was aimed to analyze the wedding servicescape color combination image focusing on the comparison between hotel banquet hall, general wedding hall and sanctuary. The survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi Province and 315 were analyzed. The statistical data analyses were performed using SPSS/WIN 17.0 and reliability analysis, factor analysis, t-test, ANOVA were used. Based on the result of the conducting factor analysis, color image of wedding hall were classified into 3 factors: delicateness, nobleness, and vivaciousness. Cronbach's alpha was calculated for the reliability of the survey instrument. Consequently, wedding hall color image were shown 'clear' 3.60, 'mild' 3.50, 'delicate' 3.38. Comparison among wedding hall types, 'vivaciousness' was 3.00 at general wedding hall, 'nobleness' was 3.64 at hotel banquet hall, and 'delicateness' was 3.60 at hotel banquet hall. Demographic differences of wedding hall color image were found by sex, marital status, monthly income but not by age, education and occupation. The results of this study will serve as a basis of wedding hall color marketing researches.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.12
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• pp.217-223
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• 2009

This paper shows a reasonable contract power conversion factor, that was made by the systematic and statistical way considering actual conditions, such as investigated contract power and peak power for the last 5 years of each customer for 461 general customers as to AMR. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried by the linear and nonlinear regression analysis. Therefore, this paper compared characteristics for a contract power conversion factor which is applied to estimate contract power with characteristics for a regression model for customers(office, store, hotel, hospital, wedding hall) which maximum utilization factor of transformer is more than 60[%].