• Journal of Positioning, Navigation, and Timing
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• v.4 no.2
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• pp.79-85
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• 2015

Existing Differential GPS (DGPS) pseudorange correction (PRC) generation techniques based on a virtual reference station cannot effectively assign a weighting factor if the baseline distance between a user and a reference station is not long enough. In this study, a virtual reference station DGPS PRC generation technique was developed based on an enhanced inverse distance weighting method using an exponential function that can maximize a small baseline distance difference due to the dense arrangement of DGPS reference stations in South Korea, and its positioning performance was validated. For the performance verification, the performance of the model developed in this study (EIDW) was compared with those of typical inverse distance weighting (IDW), first- and second-order multiple linear regression analyses (Planar 1 and 2), the model of Abousalem (1996) (Ab_EXP), and the model of Kim (2013) (Kim_EXP). The model developed in the present study had a horizontal accuracy of 53 cm, and the positioning based on the second-order multiple linear regression analysis that showed the highest positioning accuracy among the existing models had a horizontal accuracy of 51 cm, indicating that they have similar levels of performance. Also, when positioning was performed using five reference stations, the horizontal accuracy of the developed model improved by 8 ~ 42% compared to those of the existing models. In particular, the bias was improved by up to 27 cm.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.333-348
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• 2007

The study examines the relationships among financial knowledge, financial management, and objective financial well-being and subjective financial satisfaction. The data used in the study was 331 households from the survey in both Seoul and Kyeonggi-Do. The data analysis was dome using the SAS-PC program and several statistical techniques were utilized such as frequency, and multiple regression analysis. The results of the study were as follows; The results from multiple regression analysis providing the information about the relationships between two variable after controlling other effects on the variables, showed that, the households with more financial knowledge tended to do more on both financial management plan and financial management implement. The households doing more on financial management implement were found to have more subjective financial satisfaction, while those doing more on financial management plan were found to have more objective financial well-being. Also, a positive relationship was found between objective financial well-being and subjective financial satisfaction.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.219-225
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• 2007

The purpose of this study was to clarify how preschooler's adaptive temperament and father's child-rearing involvement may be related to mother's chid-rearing stress. The subjects were 320 mothers whose children were 3, 4 or 5 age preschoolers attending day care centers in Keoungbok. Statistical techniques were Pearson's correlation, hierarchical multiple regression(using SPSS 12.0). The results of this were as follows. 1. Mother's child-rearing stress was negatively related to preschooler's adaptive temperament. 2. Mother's child-rearing stress was negatively related to father's child-rearing involvement. 3. The Multiple Regression analysis showed that preschooler's adaptive temperament and father's child-rearing involvement were significantly predictive to mother's child-rearing stress. And preschooler's adaptive temperament was the stronger predictor of mother's child-rearing stress than father's child-rearing involvement. There was no significant interaction effect of father's child-rearing involvement and preschooler's adaptive temperament on mother's child-rearing stress.

• Journal of Families and Better Life
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• v.24 no.4 s.82
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• pp.93-101
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• 2006

This study explored the differences in fathers' involvement in child-rearing according to various family socio-demographic variables (fathers education level, income, mothers employment, preschooler's sex and age) and preschoolers' temperaments and examined the relationship between fathers' involvement in child-rearing and these independent variables (as well as preschooler's temperament). The subjects of the study were 227 fathers whose children were preschoolers between the ages of 3 and 5 attending daycare centers in Keoungbok province, South Korea. Statistical analysis was conducted with the following techniques: two-way ANOVA, interaction effect, Scheffe' test, Pearson's correlation partial correlation, and hierarchical multiple regression (using SPSS 12.0). Results of the study may be summarized as follows. (1) There was a significant difference in fathers' child-rearing involvement according to the fathers' education level, income, and preschoolers' temperaments. (2) There was a significant interaction effect of mothers' employment and preschoolers' temperaments on fathers' child-rearing involvement. (3) Hierarchical multiple regression analysis showed that fathers' education mediated the relationship between income and fathers' involvement in child-rearing, and fathers' education and preschoolers' temperaments was also found to have predictive power over fathers' child-rearing involvement.

• International Journal of Automotive Technology
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• v.4 no.2
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• pp.101-108
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• 2003

There are a lot of factors that influence automotive fuel economy such as average trip time per kilometer, average trip speed, the number of times of vehicle stationary, and so forth. These factors depend on road conditions and traffic environment. In this study, various driving data were measured and recorded during road tests in Seoul. The accumulated road test mileage is around 1,300 kilometers. The objective of the study is to identify the driving patterns of the Seoul metropolitan area and to analyze the fuel economy based on these driving patterns. The driving data which was acquired through road tests was analysed statistically in order to obtain the driving characteristics via modal analysis, speed analysis, and speed-acceleration analysis. Moreover, the driving data was analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis in order to obtain the relationships between influencing factors on fuel economy. The analyzed results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/L. The vehicle speed of the Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than FTP-75 test mode which is used for emission and fuel economy tests. The average trip time per kilometer is one of the most important factors in fuel consumption, and the increase of the average speed is desirable for reducing emissions and fuel consumption.

• Korean Journal of Occupational Health Nursing
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• v.22 no.1
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• pp.1-12
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• 2013

Purpose: This study aims to test the validity and criteria-related reliability of the Korean version of the Copenhagen Psyco-social Questionnaire version II (COPSOQ-K) assessing the psychosocial working environment. Methods: The COPSOQ-K was developed through forward-backward translation techniques, and revision based on feedback from focus groups. Survey data were collected from 311 office workers who worked in one workplace. An internal consistency reliability was estimated by Cronbach's ${\alpha}$. The impacts of the COPSOQ-K scales on job satisfaction, self-rated health, stress, sleeping troubles, burnout, and sickness absence were analyzed with multiple regression model or multiple logistic regression model, adjusted age and gender using SAS version 9.3. The Pearson correlation coefficients between the COPSOQ-K scales and Korean job stress and its subdomain were identified. Results: Cronbach's ${\alpha}$ of COPSOQ-K scales was adequate or good (0.66~0.87). The major COPSOQ-K scales predict job satisfaction, self-rated health, stress, sleeping troubles burnout, and sickness absence. The major COPSOQ-K scales were correlated with Korean job stress and its subdomain. Conclusion: The COPSOQ-K scales have satisfactory reliability and criteria-related validity. The COPSOQ-K scales will be useful for the future studies and practices associated with psychosocial working environment.

• Journal of the Korean association of regional geographers
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• v.15 no.6
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• pp.689-706
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• 2009

It is usual to prioritize the spatial variables that influence housing location by a few specialist's experienced knowledge or intuition. Multiple regression techniques were used to evaluate the spatially prioritized relationships between housing density and seasonal solar intensity parameters for a total of 134 house locations. Solar radiation and duration of sunshine on winter solstice was the most important predictor of house density located in intermontane basin. In contrast to the typical theory, elevation, slope and accessibility to road were not a dominant determining factor upon the dependent variable of house density. A clear verification has been made for the hidden assumptions for the arrangement of typical Korean housing in intermontane basin that its approach is found to be more appropriate in avoiding shadow conditions, rather than exploring the ideal landform location.

• Journal of Korean Society of Rural Planning
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• v.15 no.3
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• pp.23-32
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• 2009

The purpose of this research was to evaluate rural housing environment through evaluation of the two parties, public officials, the interest group and residents, the beneficiaries surveying general understanding and measuring difference in understanding between public officials and residents. Through the difference in understanding, this study was to propose effective promotion method and desirable direction of rural housing environment. For progress hereafter, by seeking active involvement of residents, this study proposed possible renewal plan of residential environment. Process of this study was first, research documents to examine several rural housing environment related promotions, and several analysis techniques like principal component analysis, multiple regression analysis used to understand different ideas Opinion of Public Officials and Inhabitants. Then take surveys of residents living in renewal zone, and surveys of public officials of borough, which already performed renewal projects to evaluate comprehensively as either residents' or administrators' view.

• Journal of Korean Clinical Health Science
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• v.8 no.2
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• pp.1444-1449
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• 2020

Purpose: The purpose of this study were to identify degree and the relationship between of self-efficacy, social support, and academic stress of nursing college students. Method: This study was a descriptive research study to analyze the factors affecting academic stress. Data were collected by structured questionnaires from June 10 to 30, 2020. The survey conducted an online survey of 159 students in D and B city. Data were analyzed descriptive statistics, Pearson's correlation coefficient, and Stepwise multiple regression Results: Academic stress were correlated with self-efficacy(r=-.41, p<.001) and social support(r=-.40, p<.001). In a multiple regression, self-efficacy(β=-.170, p=.010), social support(β=-.137, p=.042) were associated academic stress. These factors attributed to 22.2% of the total variance in academic stress. Conclusion: Therefore the factors affective intervention techniques need to be applied to the development of programs to upgrade mental health academic stress of nursing students.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.1-6
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• 2012

In recent years global climate change of hurricanes and torrential rains are going to significantly, that increase damages to property and human life. The disasters have been several claimed in every field. In future, climate changes blowing are keen to strike released to the world like in several movies. Reducing the damage of long-term weather phenomena are emerging with predicting changes in weather. In this study, it is shown how to predict the red tide phenomenon with multiple linear regression analysis and artificial neural network techniques. The red tide phenomenon causing risk could be reduced by filtering sensor data which are transmitted and forecasted in real time. It could be ubiquitous driven custom marine information service system, and forecasting techniques to use throughout the meteorological disasters to minimize damage.