• Journal of the Korean Society of Safety
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• v.27 no.3
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• pp.161-166
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• 2012

This study deals with the accident of roundabout. The objective is to analyze the traffic accidents occurred in 3-legged and 4-legged roundabouts through the developed models. In developing the multiple linear regression models, this study uses the number of traffic accidents as a dependent variable and such the variables as geometric structures, traffic characters and others as the independent variables. The correlation and multicollinearity of variables were analyzed using SPSS17.0. The main results are as follows. First, R-square value of developed models were analyzed to be 0.851(3-leg) and 0.689(4-leg), respectively. Second, the independent variables in the 3-legged roundabout accident model were analyzed to be the traffic volume and number of crosswalk, and the variables in the 4-legged roundabouts were evaluated to be the traffic volume and signal. Finally, the paired t-test shows that the predicted values and observed values are not statistically different.

• Journal of The Korean Association For Science Education
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• v.19 no.4
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• pp.674-683
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• 1999

The purpose of this study was to compare the ideas of pupils with that of the scientists about controlling and identifying of variables, in the two cases: open or guided inquiry. The subjects were the 7th grade boys and girls in a school, in Seoul, Korea. For the guided inquiry, the problems were given by the experiments of pupils' text. Pupils were asked to identify the variables in the experiments. For the open inquiry, pupils set their own inquiry problem. The pupils whose marks are within upper one-third of three classes were chosen. Pupils' ideas on variables were investigated in the design of experiment for their problems. In that, questionnaire developed by researchers was used. In the former, many of the pupils identify just only one variable despite of the fact there were two independent or dependent variables in the experiments. In the latter, the number of independent variables increased two or three. However, pupils do not control independent variables: they vary two independent variables simultaneously in the design of experiment. From these, we compared the pupils' ideas on variables with the scientists'

• Journal of radiological science and technology
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• v.43 no.6
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• pp.495-502
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• 2020

In this study, the prevalence of osteoporosis was predicted based on 10 independent variables such as age, weight, and alcohol consumption and 4 tree-based machine-learning models, and the performance of each model was compared. Also the model with the highest performance was used to check the performance by clearing the independent variable, and Area Under Curve(ACU) was utilized to evaluate the performance of the model. The ACU for each model was Decision tree 0.663, Random forest 0.704, GBM 0.702, and XGBoost 0.710 and the importance of the variable was shown in the order of age, weight, and family history. As a result of using XGBoost, the highest performance model and clearing independent variables, the ACU shows the best performance of 0.750 with 7 independent variables. This data suggests that this method be applied to predict osteoporosis, but also other various diseases. In addition, it is expected to be used as basic data for big data research in the health care field.

• Transactions of Materials Processing
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• v.32 no.6
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• pp.352-359
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• 2023

Recently, independent suspension systems have been applied not only to passenger cars but also to large commercial vehicles. Therefore, the need for research to domestically produce such independent suspensions for large commercial vehicles is gradually increasing. In this paper, we conducted research on the manufacturing technology of the relay lever, which are integral components of independent suspension systems for large commercial vehicles. Our goal was to reduce the flash volume generated during the forging process. The shape variables of the initial billet were adjusted to find proper forming conditions that could minimize flash volume while performing product forming smoothly. Shape variables were set as input variables and the flash volume was set as an output variable, and simulations were carried out to analytically predict the volume of the flash area for each variable condition. Based on the data obtained through numerical simulations, a regression model and an artificial neural network model were used to develop a prediction model that can easily predict the flash volume for variable conditions. For the corresponding prediction model, a goodness of-fit test was performed to confirm a high level of fit. By comparing and analyzing the two prediction models, the high level of fit of the ANN model was confirmed.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.6
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• pp.1822-1831
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• 2015

This study was carried out to optimize coating process of the rice snack added with dried shrimp powder by using single extruder. A total of 8 independent variables were used for 4 independent variables of edible oil coating and 4 independent variables of seasoning coating. 4 independent variables for edible oil coating were set up as 10, 15, 20, 25 and 30% for the content of edible oil; 40, 50, 60, 70 and $80^{\circ}C$ for the tumbler temperature; 60, 70, 80, 90 and 100 rpm for the tumbler speed; 2, 3, 4, 5 and 6 min for the coating time. 4 independent variables for seasoning coating were set up as 2, 3, 4, 5 and 6% for the content of seasoning; 40, 50, 60, 70 and $80^{\circ}C$ for the tumbler temperature; 50, 60, 70, 80 and 90 rpm for the tumbler speed; 2, 3, 4, 5 and 6 min for the coating time. The characteristics of the dependent variables as coating yield and Breaking ratio of collet due to the condition changes of the independent variable was studied during process of edible oil coating and seasoning coating, respectively. As a results of this study, 20% of edible oil content, $70^{\circ}C$ of tumbler temperature, 80 rpm of tumbler speed, 4 min of coating time for process of edible oil coating, 3% of seasoning content, $60^{\circ}C$ of tumbler temperature, 70 rpm of tumbler speed, 3 min of coating time for process of seasoning coating were found to be the most preferable over other independent variables for the production of snack. In conclusion, it is necessary to set the independent variable in order to produce the high quality snack added with the rice as the main raw material and dried shrimp, edible oil and seasoning as the sub-materials.

• Journal of Distribution Science
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• v.12 no.3
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• pp.33-41
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• 2014

Purpose - The purpose of this study was to predict the selection of independent auditors in the companies listed on the Tehran Stock Exchange (TSE) using a combination of PSO algorithm and CART. This study involves applied research. Design, approach and methodology - The population consisted of all the companies listed on TSE during the period 2005-2010, and the sample included 576 data specimens from 95 companies during six consecutive years. The independent variables in the study were the financial ratios of the sample companies, which were analyzed using two data mining techniques, namely, PSO algorithm and CART. Results - The results of this study showed that among the analyzed variables, total assets, current assets, audit fee, working capital, current ratio, debt ratio, solvency ratio, turnover, and capital were predictors of independent auditor selection. Conclusion - The current study is practically the first to focus on this topic in the specific context of Iran. In this regard, the study may be valuable for application in developing countries.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.103-117
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• 1986

The purpose of this study is to provide the basic information for the improvement of housewives consciousness and satisfaction of household work by analyzing the data regarding the housewives consciousness and satisfaction toward household work. The research problems was described as follows; 1) How independent variables influence the housewives consciousness of household work. 2) How independent variables influence the satisfaction of household work. 3) How relate the housewives consciousness and the satisfaction of household work. The research was conducted on 354 housewives in Seoul during the end of January and the beginning of March, 1986. As for the measurement of the instrument, questionnaire with 46 items was made by investigator. The data were analyzed by frequency, percentage, mean and t-test, F-test, Scheffe-test, Pearson-r. The results were summarized as follows; 1) Among the independent variables, the ages of housewives, durations of marriage, psychologica satisfaction were variables to have influence on the housewives consciousness towark household work. 2) Among the independent variable,s the socio-economic status, durations of marriage, psychological satisfaction were variables to have influence on the satisfaction of household work. 3) There were strong positive correlationship between the housewives consciousness and the satisfaction of household work. As a result, it is necessary to minimize the repetition and the overload of house-hold chores through the rationalization of household work and also to divide householdwork properly to family members. We let the housewives feel that her ability can be obtained from the household work. Especially the housewives must have a clear and a high level of consciousness of the household work an expect to receive high value of her household work from the family members. In order to do so, it seems to be important that housewives makes on great effort to have a positive value system and attitudes toward the consciousness and satisfaction of household work. We also must develop those factors through school and home education.

• International Journal of Contents
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• v.13 no.3
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• pp.65-74
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• 2017

Women's menopause is a natural process that every woman must eventually experience, but changes in hormones before and after menopause can serve to produce life-threatening crises in some situations, with individual differences. Data for the study was elicited from 22,610 Korean women ranging in age from 45 to 55 years in the 2013 Korean Community Health Survey. Statistical analyses was performed using descriptive, t-test, ANOVA, and hierarchical regression analysis using SPSS IBM 20.0 version. Individual characteristics, lifestyle, history of chronic disease(s), psychological and environmental factors were included as independent and EQ5D weights of Koreans were used as dependent variables. The survey subjects consisted of a total 15,505(58.3%) in their 50s, 1,765 (66.5%) in middle and high school dropouts or graduates, 22,174 (83.3%) living in spouses and 10,534(39.6%) in wages. There was a significant difference in HRQOL among all independent variables except drinking and residential areas. Hierarchical regression analysis showed that age, smoking, obesity and other incidental disease factors (fall, angina, asthma, arthritis, osteoporosis, stroke) had a negative effect on HRQOL. The selected independent variables accounted for 22.7% of HRQOL. It is necessary to find a way to improve HRQOL of Korean perimenopausal women, focusing on the significant variables revealed by the study results.

• Journal of Korean Academy of Nursing
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• v.14 no.2
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• pp.84-92
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• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• Journal of Korean Academy of Nursing
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• v.18 no.2
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• pp.153-161
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• 1988

The purpose of this study was to analyze the level of the services provision of community health practitioners (CHP) and to find out the influence factors on the services provision of CHP. In this study the dependent variables were the level of community health services(CHS), maternal and child health services(MCH), family planning services(FPS), primary care services(PCS) and the ratios of preventive health services(PHS). And independent variables were predisposing, community demographic and task factors. For this analysis, atepwise regression was used. Data collected for the study on reorganization of health centers organization in 1985 was partly used. The findings of this study can be summarized as follows : First, total variance of independent variables for CHS, MCH, FPS, PCS and PHS are shown 62.5 percent, 58.3 percent, 41.8 percent, 17 percent and 61.9 percent respectively. Second, the most important variables which explain CHS, MCH, FPS, PCS and PHS was ratios of household contacted ($R^2$＝0.289), marital status ($R^2$＝0.177), marital status($R^2$＝0.167), ratios of household contacted($R^2$＝0.119) and management of preventive health services($R^2$＝=0.203) respectively. The independent varivbles used in this analysis presented that the explnining for the provision of preventive health service are more influenced than primary care services. In summary this analysis suggests that the level of preventive health services provision of CHP is low and the provision of primary care services compared with preventive health services are occurred independentely. In the future, the strategies for active preventive services by CHP must to be strengthened.