• Journal of Korean Society of Rural Planning
• /
• v.20 no.4
• /
• pp.127-135
• /
• 2014

The purpose of this study is to show the relation of the change between spacial structure and social conditions of rural area. The spacial structure change of Asan city was analyzed using Space Syntax, and multiple regression analysis (dependent variables: connectivity, global integration, local integration / independent variables: population, household, farm population, farm population of 65years old and over, farm household, part-time farm households, cultivated land) was accomplished. As th result, that the increase of connectivity is related to the increase of population and farm population of 65years old and over and the decrease of farm population, and the increase of local integration is related to the increase of farm population of 65years old and over was showed. However, that global integration is not related to change of social conditions was proved.

• Journal of Families and Better Life
• /
• v.6 no.1
• /
• pp.39-50
• /
• 1988

The objectives of this study were (1) to find out if consumer attitude variables, that is, attitude on post-industrial age consumer value, attitude on consumerism, have significant effects on consumer role performance, (2) to find out if socio-demographic variables, that is, age, educational level, family income, social status, have significant effects on consumer role performance, (3) to examine the independent influences of variables related to each subarea consumer role performance. The data used in this study inclued 573 homemakers living in Seoul. Statistical methods were ANOVA and Multiple Regression Analysis. Major findings were as follows;1) consumer role performance and each subarea consumer role performance differed significantly according to all the variables related to consumer attitude. 2) All the socio-demographic variables had significant effects on consumer role performance. 3) Resulting from multiple regression analysis, consumer role performance and all the subarea consumer role performance had the positive liner relationships with the variables such as attitude on post-industrial age consumer value, attitude on consumerism, educational level, The most influencial variable was attitude on post-industrial age consumer value, and in turn educational level and attitude on consumerism.

• Journal of the Korean Society for Heat Treatment
• /
• v.2 no.4
• /
• pp.40-46
• /
• 1989

The hardenability of steel is related to its chemical composition. About this relationship, multiple regression analysis of hardenability data was proposed to explain the effect of chemical composition on a hardenability of steel. To establish the formula for calculation hardenability, given hardenability curve(U.S.S. Atlas) were quantitatively analyzed by multiple regression analysis program of computer. The established hardenability model was applied to predict the hardenability of commercial steel fair well. The effect of chemical composition was also expressed quantitatively.

• The Journal of Korean Society for School & Community Health Education
• /
• v.16 no.3
• /
• pp.51-63
• /
• 2015

Objectives: This study addressed the relationship among communication skill, job satisfaction, and mental health level. Methods: The participants in this study were 222 public health center staff members at 9 community public health centers located in Seoul city and Gyeonggi province. Descriptive analysis, Pearson's correlation, and multiple regression were used for statistical analysis of the data. Results: The main findings are as follows: First, communication skill and job satisfaction showed a significant positive correlation with mental health level. Secondly, some components of mental health level generally showed positive correlations with communication skill and job satisfaction. Third, multiple regression showed that 22% of the variance in the mental health level was explained. Conclusions: Based on these results of this study, we suggested that specialized programs should be established to help in development of social arbitration for public health center staff.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.16 no.3
• /
• pp.81-87
• /
• 2007

It is important to investigate the relationship between weld process parameters and weld bead geometry for adaptive arc robot welding. However, it is difficult to predict an exact back-bead owing to gap in process of butt welding. In this paper, the quantitative prediction system to specify the relationship external weld conditions and weld bead geometry was developed to get suitable back-bead in butt welding which is widely applied on industrial field. Multiple regression analysis and artificial neural network were used as the research methods. And, the results of two prediction methods were compared and analyzed.

• KIEAE Journal
• /
• v.8 no.2
• /
• pp.41-46
• /
• 2008

Owing to a space covered by glass, atrium is an attractive space with a possibility as an inner public space but a typical building type with a high-energy load. From the aspect of global environmental issues, to reduce energy load is an important assignment to solve. Contriving a planning guideline of an opening is considered as the most effective environment adjustment method, to offer a highly assessed amenity space and secure openness to outside, keep the energy load to a minimum, and apply the natural energy such as daylight to a maximum at the same time. Users' assessment of environment was performed by questionnaire survey, then the structure of users' assessment was analyzed and design condition was regulated by multiple regression analysis. The opening design guideline to offer a highly assessed space was proposed with concrete environment adjustment method.

• Journal of the Semiconductor & Display Technology
• /
• v.21 no.2
• /
• pp.45-50
• /
• 2022

The etching with high selectivity of silicon dioxide over silicon nitride is essential in semiconductor fabrication, and gas phase etch (GPE) can increase the competitiveness of the selective dielectric etch. In this work, GPE of plasma enhanced chemical vapor deposited SiO₂ was performed, and the effects of process parameters, such as temperature, partial pressure ratio, and gas supply cycle, are investigated in terms of etch rate and within wafer uniformity. Employing multiple regression analysis, the importance of each parameter elements is analyzed.

• Journal of Korea Water Resources Association
• /
• v.45 no.9
• /
• pp.875-885
• /
• 2012

In this study, the total precipitation amount in Jeju Island was estimated with the simulated precipitation for ungauged stations missing precipitation data using the spatial precipitation analysis. The missing data were generated through the modified multiple linear regression in this study, and the analysis of spatial precipitation was conducted with the PRISM(Parameter-elevation Regression on Independent Slope Model). The generated data with modified multiple linear regression model have similar pattern with original data. Thus, the model in this study shows good applicability to estimate the missing data. The difference of annual average precipitation between Case 1 (original data) and Case 2 (modified data) appears very small ratio which is about 1.5%. However, the difference of annual average precipitation according to elevation shows the large ratio up to 37.4%. As the results, the method of estimating missing data in this study would be useful to calculate the total precipitation amount at the low station density area and the places with the high spatial variation of precipitation.

• Journal of Korea Artificial Intelligence Association
• /
• v.1 no.1
• /
• pp.11-16
• /
• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

• Korean Journal of Health Education and Promotion
• /
• v.30 no.3
• /
• pp.25-34
• /
• 2013

Objectives: The main purpose of this study was to examine factors influencing school bullying victimization of middle school students in relation to social support, self-esteem, stress coping behavior, and health status. Methods: The questionnaire survey was carried out on a convenience sample of 441 middle school students. The data analysis procedure included frequency, ${\chi}^2$-test, t-test, and multiple logistic regression. Results: It was found that 18% of the subjects were bullied by other students. Multiple logistic regression analysis revealed that the factors such as sex(OR=2.35, p=.006), aggressive coping behavior(OR=1.18, p=.028), and health status(OR=1.04, p=.002) were significant affecting factors. Conclusions: The findings suggest that to prevent middle school students' bullying victimization, it is necessary to design intervention programs that considering their health status and stress coping behavior.