• International conference on construction engineering and project management
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• 2013.01a
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• pp.494-496
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• 2013

Cost-Benefit Analysis (CBA) is a systematic optimization process that allows users to compare different alternatives and to determine if a project is a solid investment. Many state DOTs have included CBA in their pavement management systems (PMSs) to help allocate state funds for maintenance, rehabilitation, resurfacing, and reconstruction of pavements. In a typical CBA, each pavement type has an assigned weight factor which represents the level of importance of this pavement type. To conduct an accurate CBA, it is essential to select appropriate weight factors. Arbitrarily assigning weights factors to pavements can lead to biased and inaccurate funding allocation decisions. The purpose for this paper is to outline a method to develop an ideal set of weight factors that can be utilized to conduct more accurate CBA. To this end, a matrix of all possible weight factors sets was developed. CBA was conducted for each set of weight factors to obtain a population of possible optimization solutions. Then a regression analysis was performed to establish the relationship between benefit and weight factors. Finally, a multi-objective genetic algorithm was applied to select the optimal set of weight factors. The findings from this study can be used by state DOTs to strategically manage their roadway systems in a cost effective manner.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.375-384
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• 2010

The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

• Journal of Environmental Health Sciences
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• v.33 no.5
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• pp.386-391
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• 2007

Mercury contamination and its health effects have become major concern of environmental health study in Korea. Mercury exposure of some group were investigated to get the accurate data for policy making and study. About 2,000 children at 26 elementary schools participated in this survey to evaluate the exposure levels and to investigate main exposure source of mercury. Analysis of mercury levels in the whole blood and urine samples were conducted and questionnaire survey was done about the factors influencing exposures simultaneously. Mercury exposure levels of domestic children were N.D. to 17.26 ppb in blood, 0.17 to $21.67{\mu}g/g$-creatinine in urine. The mean(arithmetic) levels are 2.42 ppb in blood and $2.53{\mu}g/g$-creatinine in urine. Both of them were below the recommendation levels of US EPA and German CHBM I $5.8{\mu}g/l$ and $5{\mu}g/l$ in blood, $5{\mu}g/g$-creatinine of German CHBM I in urine. But 1%, 0.51% of levels in blood exceed the level of CHBM I and US EPA, 8%, 0.85% of children were over the level of CHBM I and CHBM II in urine. Multi-valuable regression analysis showed that the existence of road near the residence in addition to the preference for fish have significance with blood mercury exposure level of domestic children. The existence of factory near the house and the experience of dental amalgam treatment had statistical relations with urine mercury level.

• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.213-233
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• 2012

This descriptive study about a community center for elderly users identifies factors influencing economic dependency. The objective of this study is to find factors that contribute to increased economic dependency and to provide basic data for preventing conflict between caregivers and elderly dependents. The subjects are 204 elderly persons who are community-center users in SongPa-Gu. Thirteen dongs (administrative areas) were chosen randomly in a cluster sample from among 26 dongs in Soungpagu containing a total of 158 community centers for the elderly. I obtained informed consents for my research from all subjects, and collected data by conducting interviews from June 28th, 2011 to August 7th, 2011. The data was analyzed by descriptive statistics, t-test, one-way ANOVA, Duncan test and multi regression analysis. The mean economic dependency score was 3.23, meaning that subjects with this score are dependent at a level that is "over intermediate". The level of formal education, homeownership, financial assistance from family and the number of families, financial assistance to the family and the number of families, economic life satisfaction, self efficacy and social support.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.282-285
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• 2018

The purpose of this study is to investigate the effect of personal factors and community factors on the quality of life based on the presence of chronic diseases based on the Big Data Platform. The research methodology was the matching of the 2017 Community Health Survey data and the National Statistical Office data to the health center units. In the study, The higher the age, the higher the education level, the higher the monthly household income, the economic activity, the spouse, the higher the quality of life. In the case of community factors, the lower the population density, the lower the elderly population ratio, the more doctors engaged in medical institutions, the higher the financial independence, the higher the quality of life.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.2
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• pp.109-124
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• 2019

Purpose: The purpose of this study was to compare the happiness level of one-person households according to gender in Korea and identify factors influencing householders' happiness. Methods: This was a descriptive correlational study design using the 2017 Community Health Survey data. The participants were 8,724 male and 16,810 female individuals in one-person households. Complex samples descriptive statistics, cross analysis, general linear model, and multi-order regression were conducted to identify the health status, health behavior, and factors influencing happiness. Results: The mean score of happiness was higher in female than male individuals. The main factors of happiness of male householders were suicide thought experience, subjective health level, and experience of having necessary medical services. The main factors of happiness of female householders were suicide thought experience, household income, depression experience. Conclusion: It is necessary to develop and implement nursing interventions and policies according to priorities for the happiness of one-person householders.

• Korean Journal of Childcare and Education
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• v.15 no.5
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• pp.87-111
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• 2019

Objective: The purpose of this study is to investigate the effect of the level of communication difficulty between child-care teachers and parents and teachers' job satisfaction on teacher's emotional labor. Methods: The data of 137 questionnaires collected in Y city, Gyeongggi-do were analyzed. The respondents of the questionnaires were teachers of 0-5 year old children. Statistical analyses were performed using frequency analysis, explorative factor analysis, independent t-test, One-way ANOVA, and multiple regression analysis at the p < .05 by SPSS 24.0 program. Results: First, there was no statistically significant difference on child-care teachers' communication difficulties with parents by sociological variables of child-care teachers. Second, there was no statistically significant difference on teachers' job satisfaction by sociological variables of child-care teachers. However, there were significant differences on the sub-factors of job satisfaction by teaching careers, types of workplace, and marital status. Third, these two factors were found to be important predictors of child-care teachers' emotional labor. Conclusion/Implications: In order to reduce the emotional labor experienced by child-care teachers in early childhood care settings, it will be necessary to pursue a multi-faceted approach to improving the working environment.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.2
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• pp.111-122
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• 2010

As the Jamsu-bridge and the floodplains of the Han River can be flooded during the rainy season, the exact prediction of the peak flood time is very important for mitigation of flood hazard. This study analyzes the effect of outflow of Paldang Dam and tide of Yellow Sea on the Han River. A target area is from the Paldang dam to Jeonryu gauging station. Water level of Jeonryu as a downstream boundary condition was estimated through multi linear regression analysis with outflow of Paldang dam and tide level of Incheon, because it was influenced by both a tide of Yellow Sea and outflow of Paldang dam. In this study, Water Level Rising Travel Time of the Jamsu-bridge and some floodplains in the Han River are estimated. Also, The second order polynomial expressions for relationships of outflow of Paldang Dam and Water Level Rising Travel Time were developed considering the outflow of Paldang dam and tide of Yellow Sea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.119-127
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• 2013

The purpose of this study is an attempt to explore the impact of working environment of visiting instructor on the empowerment for multi-cultural families. In this light, this study aims to provide some inevitable and necessary foundational data for reinforcing the empowerment of visiting instructor in order to essentially improve the quality and effectiveness of this governmental service. To accomplish this goal, this study selected eighteen multi-cultural service centers which locate near to the capital city due to each center serves relatively a large populations of multi-cultural families and took a survey from visiting instructor 286 survey forms. It used SPSS WIN 15.0 program for analyzing data, and the following is a list of tests used in this research: t-test,One-way ANOVA, correlation analysis, multiple regression analysis. The conclusive consequences from the research are following. In the case of analyzing the difference of empowerment for multi-cultural families, the project showed that the nationality, the forms of religion, the level of education, the number of child, the state of economic made a difference. As this project explored the impact of working environment on job stress, it showed that job characteristics and organizational commitment's compensation system and the development of education negatively effects on job stress. Therefore, as this project investigated how the working environment impacts on the empowerment.

• Journal of Environmental Health Sciences
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• v.32 no.4 s.91
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• pp.324-335
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• 2006

Five sampling sites were selected to investigate the distribution characteristics of air pollutants with pollution sources and weather conditions in Ulsan. $SO_2,\;NO_2,\;O_3,\;CO,\;PM_{10}$ concentrations and weather conditions with time were analyzed by using several statistical methods. Also, the distribution characteristics of ambient air quality were estimated by pollution-rose and multi-regression analysis. As a result of the analysis, $NO_2,\;CO\;and\;PM_{10}$ concentrations were high in winter season, whereas $SO_2\;and\;O_3$ concentrations were high in summer season. This concentration distribution was caused by the unfavorable geographical location, which the residential area was located at the downwind direction to industrial area. From the pollution-rose, we confirmed that each pollutant influenced the downwind residential areas because of seasonal wind direction. $SO_2$ concentration has shown positive correlation of $0.2{\simm}0.3$ for $NO_2,\;PM_{10}$ and temperature, while $O_3$ concentration has shown negative correlation. Also, $NO_2$ and CO concentrations, pollutants generated by combustion, have shown positive correlation, while $O_3$ concentration and temperature have shown negative correlation. Therefore, it could be suggested that a seasonal air quality policy and a new guideline of air quality was necessary in each season with wind directions to reduce the air pollution level in Ulsan.