• Journal of Practical Engineering Education
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• v.8 no.1
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• pp.69-73
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• 2016

While growing interest about university education and quality enhancement, learner's scholastic achievement, learning process, various of learning activity work variable performance of university education. In this context, for quality enhancement of engineering education, it is necessary to pay attention not only learning achievement, educational conditions and environment, but also how students learn. The purpose of this study is checking learning activity in class of Engineering college students and proposing teaching and learning support for promoting learning activity in class. The result of this study is engineering college students were participate in highly only activity is called to professor, but self-directed learning engagements was less than. Activity of promoted thinking about task execution implemented frequently, but activity of critical thinking and applied everyday life were less than. In class students cooperated with colleague learner actively, they had sincere attitude about class. Based on these results, in order to promote learning activity in class, it is necessary sufficient teaching-learning support for learner's self-directed learning and enhancing thinking skills.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.264-264
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• 2013

Strong metal-support interaction effect is an important issue in determining the catalytic ac-tivity for heterogeneous catalysis. In this study, we investigated the support effect and the role of organic capping layers of two-dimensional Pt nanocatalysts on reducible metal oxide supports under the CO oxidation. Several reducible metal oxide supports including CeO2, Nb2O5, and TiO2 thin films were prepared via sol-gel techniques. The structure, chemical state and optical property were characterized using XRD, XPS, TEM, SEM, and UV-VIS spectrometer. We found that the reducible metal oxide supports have a homogeneous thin thickness and crystalline structure after annealing at high temperature showing the different optical band gap energy. Langmuir-Blodgett technique and arc plasma deposition process were employed to ob-tain Pt nanoparticle arrays with capping and without capping layers, respectively on the oxide support to assess the role of the supports and capping layers on the catalytic activity of Pt catalysts under the CO oxidation. The catalytic performance of CO oxidation over Pt supported on metal oxide thin films under oxidizing reaction conditions (40 Torr CO and 100 Torr O2) was tested. The results show that the catalytic activity significantly depends on the metal oxide support and organic capping layers of Pt nanoparticles, revealing the strong metal-support interaction on these nanocatalysts systems.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.4
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• pp.319-329
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• 2015

The purpose of this paper is to analyze lower extremities pattern of daily activities and walking on the treadmill with passive body support system. The experiments will be used for basic research of developing active harness system. The experimental procedure has been validated on 5 healthy male subjects and we measured foot pressure and 8 section of lower limb muscles activities. The EMG results of ADL indicate that there have specific muscle activity patterns followed by each activities. The vastus lateralis muscle activities were highly seems on the activities that requires flection and extension of knee joint. The foot pressure value of stair descent activity was the highest due to the fact that it is come down to the direction of gravity. The results with the passive body weight support percentages show that the EMG and foot pressure values were declined according to increasement of the body weight support percentages. Therefore the body weight support system could apply gait rehabilitation system for various patients by changing the percentages of the body weight support.

• Journal of Families and Better Life
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• v.25 no.4
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• pp.43-55
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• 2007

The Purpose of this study was to investigate the ecological variables on adolescent's sociometric popularity. Independent variables were organism(sex, age, aggression, self-esteem, impulsiveness, prosocial behavior, dominance), microsystem(parenting style, family support, friends relationship, teacher support), mesosystem(family-peer relationship, family-school relationship), and exosystem(positive community environment, social support of extended family, school's policy). The subjects were 835 - 1st and 2nd graders of two middle and two high schools in Daegu. Adolescent's sociometric popularity and ecological variables were measured with questionnaire. Adolescent's sociometric popularity was measured with sociometric popularity questionnaire. Organism variables were measured with sex, age, aggression, self-esteem, impulsiveness, prosocial behavior and dominance questionnaire. Microsystem variables were measured with parenting style, family support, friends relationship and teacher support questionnaire. Mesosystem variables were measured with family-peer relationship and family-school relationship questionnaire. Exosystem variables were measured with positive community environment, social support of extended family and school's policy questionnaire. The data analyzed by frequency, percentage, mean, cronbach's $\alpha$, and multiple regression. The major findings were as follows: First, adolescent's sociometric popularity was affected by age, overt aggression, academic self-esteem, social self-esteem, and impulsiveness of organism variables. Second, adolescent's sociometric popularity was affected by mother's affectional parenting, mother's control parenting, and attachment to friends of microsystem variables. Third, adolescent's sociometric popularity was affected by family - peer relationship and family - school relationship of mesosystem variables. Fourth, adolescent's sociometric popularity was affected by appraisal support of extended family, after-school activity, and circle activity of exosystem variables.

• The Journal of Korean Physical Therapy
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• v.22 no.6
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• pp.85-90
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• 2010

Purpose: The aim of this study was to investigate the relationship between social support and quality of life (QOL) in elderly people and to examine potential cross-cultural differences. Methods: The author surveyed 82 elderly people, over the age of 65, residing in a nursing home in a Korean rural area and 73 Korean immigrants living in Houston Texas USA who were also elderly. The degree of social support was measured with 20 questions that were answered using a 5 grade scale. The quality of life was measured in 5 fields (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, each scored using a 3 grade scale) with EUROQOL EQ-5D. Results: The mean score of social support was 65.43 for domestic Korean elderly people (range: 26 to 98); it was 73.43 for elderly Korean Americans (range: 26 to 100). The score was lower for domestic Koreans despite the traditional environment (p<0.05). Regarding QOL, 61% of domestic Korean elderly people complained of pain/discomfort and 47.5% appeared to have anxiety/depression, 30.5% complained of limitations in mobility, 20.7% reported limitations in usual activities, and 14.6% had limitations in basic self.care activity such as washing or dressing. A similar proportion of Korean American elderly had limitations in usual activities (19.2%) and self care activity (9.5%). But significantly fewer complained of anxiety/depression (16.5%, p<0.01) or pain/discomfort (38.3%, p<0.01). The major differences in psychological domains of QOL may be related to the degree of social support and the difference in the socio.cultural environment. Conclusion: Social support is a major determinant of QOL, especially for psychological domains, and these relationships are under the influence of the socio.cultural environment.

• The Korean Journal of Health Service Management
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• v.11 no.2
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• pp.93-103
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• 2017

Objectives : The aim of this study was to examine the effects of economic support on working women's depressive symptoms, using the dataset of the Korean Longitudinal Survey of Women and Family (KLoWF 4th). There were 2,055 subjects. Methods : A multiple regression model was used to study the association between two-income families and symptom of depression, controlling for socio-demographic characteristics, spouse relationship characteristics (couple activity, household labor, relationship with spouse). Results : Authors found a negative relationship between couple activity (b=-0.151, p<0.001) and depressive symptoms, a positive relationship between household labor (b=0.045, p=0.001) and depressive symptoms, and a negative relationship between relationship with spouse (b=-0.386, p<0.001) and depressive symptoms. Conclusions : The results of this study show the importance of spousal support in promoting the marital relationship and mental health among married working women.

• The Korean Journal of Community Living Science
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• v.24 no.2
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• pp.169-185
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• 2013

The purpose of this study was to analyze the effects of temperament of child, maternal parenting behavior, social support. The data was collected from 5th to 6th grade 405 children living in Kwangju. For statistical analysis, Cranbach' ${\alpha}$, and hierarchical regression analysis were used. The results were summarized as follows: as a result of making a hierarchical regression analysis to find out the relative impact of gender on Ego-Resilience, sub-factors of child's temperament, maternal parenting behavior, and family and friend's social support were identified as the most important variables and predictors of ego-resilience. These results indicated that ego-resilience was the most significant variable to predict a child's temperament(attention). Ego-resilience was impacted according to the child's temperament(activity mood), friend support, maternal parenting behavior(rational guidance), in addition to the child's temperament(activity level).

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.91-120
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• 2017

This study aimed (a) to examine the association between chronic illness and multidimensional disability(i.e., psychological/emotional functions, activity capacity, and participation frequency) among older adults with disabilities, (b) to investigate the effect of formal and informal supports on multidimensional disability, and (c) to analyze the moderating effects of formal and informal supports on the association between chronic illness and multidimensional disability. This study used 2014 Korea Welfare Panel Study(the 9th wave) data and 450 older adults with disabilities aged 50 and over were selected as the study target. The research model was analyzed by structural equation modeling using IBM AMOS 22.0. Based on the ICF framework developed by WHO, health condition was measured by the level of chronic illness; psychological/emotional functions were measured by health satisfaction, self-esteem, and depression; activity capacity was measured by ADLs and IADLs; participation frequency was measured by the total number of social activities joined; formal support was measured by the total number of formal welfare services for people with disabilities utilized; informal support was measured by perceived social support. The findings showed that the level of chronic illness was negatively associated with psychological/emotional functions among the older adults with disabilities. The informal support positively affected psychological/emotional functions and activity capacity, whereas the formal support showed the opposite result. That is, the formal support negatively influenced activity capacity and showed a moderating effect on the association between the level of chronic illness and the psychological/emotional functions in a reverse way. Based on the results, practice and policy implications for alleviating disability level among the older adults with disabilities were discussed.

• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.524-532
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• 2010

Purpose: This study was done to explore the relationship of social support and meaning of life to suicidal thoughts among patients with cancer. Methods: Data were collected by questionnaires from 138 patients who had been in cancer treatment at medical clinics and 8 patients who were members of an internet cancer association. The data were collected between August and November 2009 and analyzed using SPSS 12.0. Results: Of the participants, 47.3% reported having had suicidal thoughts and 16.4% had attempted suicide since the diagnosis of cancer. The study participants received most support from family members, but 73.3% reported experiencing an existential vacuum. The suicide attempt group had significantly higher scores according to gender, age, level of education, diagnosis, treatment modality, level of activity, caregiver and social support compare to the suicide thought group. Suicidal thoughts were negatively related to social support and meaning of life was positively associated with social support. Support from family and friends and diagnosis explained 50.0% of variance for suicidal thoughts with 36.0% of variance being explained by family support. Conclusion: Nurses should be able to identify risk factors for suicide in cancer patients. Prevention and intervention efforts need to be directed toward improving social support, family support in particular, and assisting patients finding meaning in life after a diagnosis of cancer.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.5
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• pp.675-682
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• 2013

Reliability analysis and prediction of next failure time is critical to sustain weapon systems, concerning scheduled maintenance, spare parts replacement and maintenance interventions, etc. Since 1981, many methodology derived from various probabilistic and statistical theories has been suggested to do that activity. Nowadays, many A.I. tools have been used to support these predictions. Support Vector Regression(SVR) is a nonlinear regression technique extended from support vector machine. SVR can fit data flexibly and it has a wide variety of applications. This paper utilizes SVM and SVR with combining time series to predict the next failure time based on historical failure data. A numerical case using failure data from the military equipment is presented to demonstrate the performance of the proposed approach. Finally, the proposed approach is proved meaningful to predict next failure point and to estimate instantaneous failure rate and MTBF.