• International Journal of Highway Engineering
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• v.13 no.4
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• pp.211-220
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• 2011

TOD(Transit Oriented Development) has recently been active, which presents that TOD planning elements should be comprehensively taken into consideration in order to enhance domestic transit ridership by changing environments in rail station areas and an empirical analysis on the type of rail station areas and transportation demand should be a prerequisite for usage of future development planning. This study aims to grasp a variety of TOD of influence factors in Seoul rail station area and to perform analysis to identify relationship between public transportation demand and these TOD design factors. To make it come true, we gathered data with respect to Density, Diversity, and Accessibility as representative TOD planning elements and carried out factorial and regression analysis. Consequently, we drew 7 influence factors base on factorial analysis: Factor 1(Diversity/ -Use Mix(LUM)), Factor 2(Density/development density), Factor 3(Accessibility/public transportation facility supply), Factor 4(Design/street design), Factor 5(Green/access mode (pedestrian, bike), Factor 6(Design/subway size), Factor 7(Accessibility/Public transit operation) As the result of model development by using factorial and regression analysis, positive influence factors on passenger flow in rail station area are Factor 1(Diversity : Land-Use Mix), Factor 3(Accessibility : public transportation facility supply), Factor 2(Density : development density), Factor 5(Design/ access mode) and Factor 6(subway size) Next, negative influence factor on passenger flow in rail station area shows Factor 7(Accessibility/Public transit operation) as the most influential factor. This is because the growth of service interval of linked subway and bus leads to reduced demand.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.18 no.2_spc
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• pp.247-260
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• 2020

A multi-regression model was developed to estimate the decommissioning cost for Kori unit 1 using foreign nuclear power plant (NPP) decommissioning cost data. First, the decommissioning cost data were collected for 13 boiling water reactors and 16 pressurized water reactors and converted into the values as of November 2019. Then, for the regression model, the decommissioning cost was chosen as the dependent variable, and two variables were selected as independent variables: a contamination factor that was designed to reflect the operational characteristics of the decommissioned NPP and the decommissioning period. A statistical package in the R language was used to derive the regression model. Finally, the regression model was applied to estimate the decommissioning cost for Kori unit 1. The estimated decommissioning cost for Kori unit 1 was 663.40~928.32 million US dollars (782,812~1,095,418 million Korean won).

• Korean Journal of Materials Research
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• v.29 no.12
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• pp.781-789
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• 2019

The prediction of Jominy hardness curves and the effect of alloying elements on the hardenability of boron steels (19 different steels) are investigated using multiple regression analysis. To evaluate the hardenability of boron steels, Jominy end quenching tests are performed. Regardless of the alloy type, lath martensite structure is observed at the quenching end, and ferrite and pearlite structures are detected in the core. Some bainite microstructure also appears in areas where hardness is sharply reduced. Through multiple regression analysis method, the average multiplying factor (regression coefficient) for each alloying element is derived. As a result, B is found to be 6308.6, C is 71.5, Si is 59.4, Mn is 25.5, Ti is 13.8, and Cr is 24.5. The valid concentration ranges of the main alloying elements are 19 ppm < B < 28 ppm, 0.17 < C < 0.27 wt%, 0.19 < Si < 0.30 wt%, 0.75 < Mn < 1.15 wt%, 0.15 < Cr < 0.82 wt%, and 3 < N < 7 ppm. It is possible to predict changes of hardenability and hardness curves based on the above method. In the validation results of the multiple regression analysis, it is confirmed that the measured hardness values are within the error range of the predicted curves, regardless of alloy type.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.253-262
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• 2003

Purpose: This study was carried out to identify factors influencing osteoporosis in women at pre- and post-menopausal state. Methods: The subjects of this study were 52 pre-menopausal and 125 post-menopausal women who were assessed of bone density in one general hospital. The data were collected through review of clinical records and telephone interviews using a questionnaire. Results: In the pre-menopausal women, the factors influencing osteoporosis were regular exercise (protective factor) and age (risk factor). Regression analysis showed that the factors attributable to osteoporosis included educational level, weight, age and number of pregnancy, accounted for 41.89% of the total variance. In the post-menopausal women. the factors influencing osteoporosis were age (risk factor), low educational level (risk factor), low economical state (risk factor), high parity (risk factor), and intake of coffee (protective factor). Regression analysis also showed that factors attributable to their osteoporosis included age, educational level, number of delivery, intake of the coffee, regular exercise, number of pregnancy and duration of oral pill intake, accounted for 37.41 % of the total variance. Conclusion: In pre-menopausal women, regular exercise was one of the most powerful determinant of their bone mass. Therefore, it is necessary to participate in a regular exercise program to maintain peak bone mass density prior to the onset of menopause. In post-menopausal women, increased age was the most influencing factor of their bone mass. Therefore, it is essential to establish early diagnosis and management of osteoporosis after menopause.

• Korea Journal of Hospital Management
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• v.23 no.2
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• pp.95-105
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• 2018

Objective: This study conducted an empirical research on foreign patients who had visited the medical institutions of Daegu region in order to identify the effects of the factor satisfaction and experience satisfaction with medical services on their revisit intentions. Methods: This study reviewed the existing studies on medical services to foreign patients with a main focus on medical tourism, and conducted the empirical research through a survey on foreign patients from the Russian, Chinese and English-speaking regions based on the Daegu Medical Tourism Promotion Institute's DB of foreign patients. The empirical research conducted a multiple regression analysis on factor satisfaction and experience satisfaction regarding return visit intentions. Results: The multiple regression analysis results showed that both the factor satisfaction and the experience satisfaction with medical services of foreign patients had positive effects on their return visit intentions, especially, with a relatively greater effect from the factor satisfaction. Specifically, it was found that factor satisfaction elements of 'friendliness of employees', 'good communication', and 'expertise of medical workers'; and experience satisfaction elements of 'reliability of medical information', 'efforts to minimize incompatibility towards foreigners', 'convenient access to medical information' and the like enhanced the return visit intentions. Conclusion: We discovered that, in the context of medical tourism activities, it is important to enhance factor satisfaction and experience satisfaction with medical services in order to promote return visits of the foreign patients who we once attracted. Especially, there are implications that reliability of medical information and efforts to minimize incompatibility towards foreigners enhance return visits of foreign patients.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.6
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• pp.44-49
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• 2008

Contract power conversion factor which is applied to estimate contract power of industrial customers is an important standard to caculate transformer capacity. This paper shows a reasonable contract power conversion factor, that was made by the systematic and statistical way considering actual conditions, such as investigated contact power and peak power for the last 5 years of each customer for 349 industrial 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 a lied to calculate contract power with characteristics for a regression model for customers which maximum utilization factor of transformer is more than 60(%).

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.5
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• pp.80-85
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• 2008

Contract power conversion factor which is applied to estimate contract power of general customers is an important standard to caculate transformer capacity. 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 which maximum utilization factor of transformer is more than 60[%].

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.1
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• pp.91-100
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• 1994

The purpose of the study is to investigate the actual conditions of ready-to-wear Hanbok and is to establish the standard sizes for the women's ready-to-wear Hanbok. Twelve ready-to-wear Hanbok shops were investigated for the actual survey. Body measurements were taken from May to June, 1990 from 329 female college students living in the Seoul and Buchon. The ages of the subjects were 18"26. Thirty seven measurements were taken from each subject and analized for the results. Data were analized by factor analysis, and regression analysis. The results were as follows ; 1. As a result of the actual survey, the situation of the quality label was not enough. The size classification was not unified, and was not trusted statistically, it cannot satisfied consumers. 2. Factor analysis identified the two dimensions of body measurements 1 one was relevant to the height measurements including stature and to the length measurements of limbs, and the other was relevant to the trunk girth measurements and the limbs girth measurements. 3. because of plane construction of Hanbok, employed in this thesis was bl-dimensional sizing system using two controle dimensions including height factor(stature) and girth factor(bust girth) . 4. The Multiple regression formula was developed for estimating secondary dimensions of Hanbok Construction, in which stature and bust girth were posited as independent variables. 5. As a results, about 88.6371 of expected distribution were covered by 9 sizes, which were used as the basis for defining sizing system for Hanbok construction.tion.

• The Research Journal of the Costume Culture
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• v.19 no.6
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• pp.1247-1258
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• 2011

This study aimed to clarify the relationships among the characteristics of consumers and their influence on fashion leadership. Two kinds of variables were investigated in this study: centrality of visual product aesthetics and consumer innovativeness as personal characteristics, and role-relaxed consumption and consumer susceptibility to interpersonal influence as interpersonal characteristics. Data were gathered by surveying university students in the Seoul metropolitan area, using convenience sampling, and 322 questionnaires were used in the statistical analysis. In analyzing data, correlation analysis, factor analysis, and regression analysis were conducted. Factor analysis on the centrality of visual product aesthetics revealed three sub-factors: value, acumen, and response intensity. Meanwhile, factor analysis for consumer susceptibility to interpersonal influence revealed two sub-factors: informative and normative conformities. However, consumer innovativeness, role-relaxed consumption, and fashion leadership revealed only one factor. Regression analysis showed that visual product aesthetics, especially acumen and response intensity, were the most influential factors; furthermore, consumer innovativeness and normative conformity had positive influence on fashion leadership. However, role-relaxed consumption had negative influence on fashion leadership.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.3
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• pp.41-51
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• 2020

This research is accomplished to verify objectively how flight instructor's transformative leadership affects student pilot's psychological stabilities and learning satisfactions. Flight instructor's transformative leadership factor divided into individual consideration, intellectual stimulus and charisma from exploring factor analysis. Psychological stability factor subdivided into happiness, concentration and satisfaction. Learning satisfaction factor subdivided into participation, recommendation, persistence, accomplishment and relationship. According to the analysis of flight instructor's transformative leadership effect on psychological stability, it showed that it has statistical significance on happiness, concentration and satisfaction. It also has positive influence on happiness and concentration. The result from regression analysis showed that individual consideration and charisma affected happiness and concentration in order. However, satisfaction from individual consideration, intellectual stimulus and charisma didn't show statistical significance to student pilot's satisfaction. Analysis of flight instructor's transformative leadership on student pilot's learning satisfaction showed statistical significance between them. Intellectual stimulus and charisma had positive influence on student pilot's learning satisfaction. Regression analysis showed charisma and intellectual affect student pilot's learning satisfaction in order.