• 한국노년학
• /
• v.32 no.3
• /
• pp.777-800
• /
• 2012

This paper aims to estimate the effects of environmental variables on volunteering among older persons and decide relationships between independent and dependent variables. The thesis conceptually points out that the integrated theory of resources too much emphasizes the important roles of human, social and cultural capital, but overlooks the influences of ecological environments in explaining volunteering among the older persons. And the thesis tries to apply the general ecological theory of aging to explaining volunteering of older people together with resource frameworks, and to estimate the effects of ecological environment variables on volunteerism for senior citizens. Using a micro data of 2009 National Social Survey by Statistics Korea, the paper screens out 10,268 subjects who are believed to socially retire and be above 55 years older. The multiple OLS regression and binomial logistic regression techniques are used to estimate the effects of ecological environments and resources on volunteering. The analysis results show that all of environmental and resource variables are related to volunteering at the level of p<.000. This means that environmental variables have independent effects on the volunteerism, controlling for resource variables. This results suggest that both theories have empirical evidences in explaining volunteerism in Korea. Also, at the end of paper, theoretical and policy implications for practices and future studies are discussed.

• Journal of Climate Change Research
• /
• v.3 no.1
• /
• pp.13-24
• /
• 2012

CCGIS (Climate Change Adaptation Toolkit based on GIS) was developed to use as a tool for the climate change assessment and any relevant tasks involving climate change adaptation policy over Korean peninsula. The main objective of CCGIS is to facilitate an efficient and relevant information for the estimation of climate change vulnerability index by providing key information in the climate change adaptation process. In particular, the atmospheric modeling system implemented in CCGIS, which is composed of climate and meteorological numerical model and the atmospheric environmental models, were used as a tool to generate the climate and environmental IPCC SRES (A2, B1, A1B, A1T, A1FI, and A1 scenarios) climate data for the year of 2000, 2020, 2050, and 2100. This article introduces the components of CCGIS and describes its application to the Korean peninsula. Some examples of the CCGIS and its use for both climate change adaptation and estimation of vulnerability index applied to Korean provinces are presented and discussed here.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.6
• /
• pp.25-39
• /
• 2018

The purpose of this study is to develop an efficient incident detection algorithm by applying machine learning, which is being widely used in the transport sector. As a first step, network of the target site was constructed with micro-simulation model. Secondly, data has been collected under various incident scenarios produced with combination of variables that are expected to affect the incident situation. And, detection results from both McMaster algorithm, a well known incident detection algorithm, and the Naive Bayes algorithm, developed in this study, were compared. As a result of comparison, Naive Bayes algorithm showed less negative effect and better detect rate (DR) than the McMaster algorithm. However, as DR increases, so did false alarm rate (FAR). Also, while McMaster algorithm detected in four cycles, Naive Bayes algorithm determine the situation with just one cycle, which increases DR but also seems to have increased FAR. Consequently it has been identified that the Naive Bayes algorithm has a great potential in traffic incident detection.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.21-27
• /
• 2019

R-404A, which is used widely in small-scale ice makers, is scheduled to be phased out because of its high global warming potential. In this study, drop-in tests were conducted using R-448A and R-449A, which replace R-404A, to modify the outdoor air and supply water temperatures. The results showed that the daily ice production rate of R-404A was 5.3% higher than that of R-448A and 4.2% higher than that of R-449A. This was attributed to the larger vapor density of R-404A, which resulted in a larger mass flow rate in the system. Between R-448A and R-449A, R-448A yielded a larger amount of ice at low air and water temperatures, whereas R-449A yielded a larger amount of ice at high air and water temperatures. The daily power consumption of R-404A was approximately 10% larger than those of R-448A and R-449A. The resulting COPs of R-448A and R-449A was similar, only 3.0% larger than that of R-404A. The literature survey showed that the condensation or evaporation data of R-448A or R-449A are very limited, and research on this issue is recommended.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.3
• /
• pp.353-365
• /
• 2019

The purpose of this research is to guide the development of the program for the Directive Individual Sand Box Play for the improvement of the self-esteem of children of the dissolved multicultural families. For quantitative analysis data, the scores from before and after the program were compared. The SPSS 18.0 Package was used for statistical analysis. For the qualitative analysis, the linguistic changes in B children during the session were collected and analyzed using the self-expression scale. The research period lasted for around 3 months from February 2017 to May 2017, for a total of 12 sessions which included individual activities, 1 session of group activities, and 1 night and 2 days of family camp activities featuring a total of 6 children. The main results of this research include quantitatively through the program of the Directive Individual Sand Box Play in relation to the social self-esteem capability at z=-2,200 on the level of p<.05, the significant difference was shown. Qualitatively, positive expression increased as sessions proceeded and negative expression reduced regarding the linguistic expressions by session of children B. This means that the method of the Directive Individual Sand Box which presents the topic and in addition, the process of visiting the house of a child which is the most secure environment had shown the effectiveness that increases the improvement of the self-esteem of the children of the dissolved multi-cultural families. According to the diverse special characteristics of clients, a preliminary basic framework for the mobile individual sand box program through the directive approach method will be prepared.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.2
• /
• pp.1-6
• /
• 2019

The objective of this study was to investigate performance characteristics of thermal management system(TMS) in a fuel cell electric vehicle with 100kW Fuel Cell(FC) system. In order to build up analytic modelling for TMS, each component was installed and tested under various operating conditions, such as water pump, radiator, 3-Way valve, COD heater, and FC stack etc. and as the results of them, correlations reflecting component's characteristics with flow rate, air velocity were developed. Developed analytic modelling was carried out under various operating conditions on the road. To verify modelling's accuracy, after prediction for optimum coolant flow rate was fulfilled under certain operating conditions, such as FC system, water pump speed, opening of 3-way valve, and pipe resistance, analytic and experimental values were compared and good agreement was shown. In order to predict cold-start operating performance for analytic modelling, coolant temperature variation was analyzed with $-20^{\circ}C$ ambient temperature and duration was predicted to rise in optimum temperature for FC. Because there is appropriate temperature difference between inlet and outlet of FC stack to operate FC system properly, related analysis was performed with respect to power consumption for TMS and heat rejection rate and performance map was depicted along with FC operating conditions.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.3
• /
• pp.71-81
• /
• 2019

To extend the potential benefits of error, the current study examined factors that affect students' error perception in the classroom. An experimental design was used to measure relations of classroom goal structure, feedback, and social relationships on students' perception of error. A total of 316 fourth-, fifth-, and sixth-grade elementary students participated as part of their regular class curriculum. Self-reported questionnaires were administered to measure students' perception of errors and relationships with teacher and peers, and then students were manipulated by classroom goal structure and feedback. Multiple regression analysis results suggested that students' perception of learning from error was affected mostly by relationships with peers, followed by relationships with teacher and the type of feedback. Students' perception of risk taking for error was also affected by relationships with peers and teacher, followed by the classroom goal structure. However, classroom goal structure and feedback did not affect their perception of thinking about error to improve their learning as well as error strain. These results imply how the classroom climate should be structured to improve perception of errors to improve student's learning.

• The Journal of the Korea Contents Association
• /
• v.18 no.12
• /
• pp.208-217
• /
• 2018

The purpose of this study was to provide information on the treatment and management of diabetic patients using all the available data of the Korea National Health and Nutrition Examination Survey (KNHANES, 2013-2015) on the serological and complication patterns of cardiovascular disease (CVD) according to the duration of diabetes mellitus (DM). KNHANES consists of health questionnaires, screenings, and nutrition surveys. The study subjects were 1,316 persons who were aged between 18 and 80 years and who answered the duration of DM. DM was classified as 0-5, 6-10, 11-15, 16-20, and over 20 years according to duration of DM. The longer the duration of DM, the older the BMI, the lower the smoker, the higher the HbA1c and the lower the glomerular filtration rate. Total cholesterol, LDL-C and triglyceride levels were low and HDL-C levels were similar. The proportion of patients receiving insulin and oral hypoglycemic agents increased. The longer the duration of DM, the worse blood glucose control and the increased risk of microvascular and macrovascular complications. To prevent these complications, intensive care and monitoring should be used to control the risk factors.

• Fire Science and Engineering
• /
• v.32 no.6
• /
• pp.134-140
• /
• 2018

This study examined the adequacy of a school classroom's occupant load density standard to cope with the issues associated with the decreasing number of students and regional variations. Therefore, this study analyzed the occupant load density standards of kindergarten, elementary school, middle school, high school, and universities using the data open to the public by the Ministry of Education. The results revealed a high variance in the occupant load density according to the school type. The median values were 1.49, 3.45, 2.64, 2.45, and $3.41m^2/person$ for kindergarten, elementary school, middle school, high school, and universities, respectively. Although the occupant load density was higher than the current standard ($1.9m^2/person$), except for kindergarten, the present standard did not need to be improved immediately, considering the purpose of calculating the maximum occupancy. On the other hand, if improvements are made in line with other enhancements of a national education policy, it will be possible to mitigate the measure to $2.5m^2/person$ based on the survey results.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.141-164
• /
• 2018

Recently, as the amount of academic literature has increased rapidly and complex researches have been actively conducted, researchers have difficulty in analyzing trends in previous research. In order to solve this problem, it is necessary to classify information in units of academic papers. However, in Korea, there is no academic database in which such information is provided. In this paper, we propose an automatic classification system that can classify domestic academic literature into multiple classes. To this end, first, academic documents in the technical science field described in Korean were collected and mapped according to class 600 of the DDC by using K-Means clustering technique to construct a learning set capable of multiple classification. As a result of the construction of the training set, 63,915 documents in the Korean technical science field were established except for the values in which metadata does not exist. Using this training set, we implemented and learned the automatic classification engine of academic documents based on deep learning. Experimental results obtained by hand-built experimental set-up showed 78.32% accuracy and 72.45% F1 performance for multiple classification.