• Journal of Information Processing Systems
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• v.15 no.1
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• pp.116-126
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• 2019

In this paper, an improved one-against-one support vector machine algorithm is used to classify multiple power quality disturbances. To solve the problem of parameter selection, an improved particle swarm optimization algorithm is proposed to optimize the parameters of the support vector machine. By proposing a new inertia weight expression, the particle swarm optimization algorithm can effectively conduct a global search at the outset and effectively search locally later in a study, which improves the overall classification accuracy. The experimental results show that the improved particle swarm optimization method is more accurate than a grid search algorithm optimization and other improved particle swarm optimizations with regard to its classification of multiple power quality disturbances. Furthermore, the number of support vectors is reduced.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.109-117
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• 2021

Although previous studies on social commerce have provided much insight, more studies in the perspective of social network are needed because social commerce happens within online communities or virtual groups, where buyers connect and interact with each other by sharing information. So, the purpose of this study is to investigate how transactive memory as network characteristic can affect social commerce behavior through social support and relationship quality. We verified the relational effect among social support, relationship quality, and social commerce intention in the Korean market context. Moreover, we found transactive memory capability also played an essential role in the field of social commerce. Specifically, we found consumer's transactive memory capability plays a significant moderating role in the relation between social support and relationship quality.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.2
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• pp.112-119
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• 2014

A force support system is composed of capital components such as combat equipments, supplies and so on to enable constant fighting power capability. Private technology level evaluation is on the rise as an important spin-on method in force support systems, which requires 92% of total munitions requirements, to obtain superior private technology. The evaluation of the private sector technology level on Korean force support systems has been conducted for the first time as follows: this research chose 38 items to be acquired within 2-3 years and grouped either identical or similar technology among those 38 items. A technology evaluating method was established based on the analysis of domestic and foreign technology level evaluations. Evaluation was performed by a Delphi survey from 180 private and military experts. To obtain an objective index and raise political availability, a technology system map and standard document were developed and applied to all 38 items.

• Korean Journal of Human Ecology
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• v.22 no.2
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• pp.257-266
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• 2013

The purpose of this study was to test the multiple mediating effects between attachment and life quality among university freshmen, regards on positive and negative affect, stress, social support and mental health as mediating factors. 200 freshmen were selected for the questionnaire study in a university in Busan. There were significant correlations among positive and negative affect, stress, social support, mental health and life quality with attachment. The maximum likelihood estimation revealed that attachment had no direct link with life quality. Attachment had indirect effects on life quality, mediated by positive affect and mental health. The results and limitations of this study were also discussed, from the perspective of attachment theory and previous studies.

• Journal of Korean Critical Care Nursing
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• v.16 no.3
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• pp.73-86
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• 2023

Purpose : This study aimed to identify the factors affecting the quality of life of lung transplant patients. Method : The participants were patients who received lung transplants at a general hospital in City Y. Data were collected through structured questionnaires from June 2023 to August 2023. General characteristics, lung transplantation-related characteristics, quality of life, functional disability, treatment compliance, social support, anxiety, and depression-were measured. For data analysis, hierarchical multiple regression was performed using SPSS/WIN 29.0. Results : In the final model, quality of life was associated with income, self-help group attendance, functional disability, social support, treatment compliance, and anxiety and depression. Together, they explained 61.2% of the total variance in the results. Conclusion : Our findings suggest that improving lung transplant patients' quality of life requires active intervention in stress management to perform treatment instructions well, a social support system that can help them financially, and encouraging and participating in social activities as patients.

• Journal of Agricultural Extension & Community Development
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• v.19 no.3
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• pp.581-616
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• 2012

The purpose of this study was to examine the impact of family support and social support on the hopelessness of rural elderly people in an effort to provide some information on the improvement of elderly people's quality of life. The rural elderly people investigated didn't think that they were given lots of support from their families and society, and they didn't feel hopeless a lot, either. The hopelessness of the elderly people was under the negative influence of emotional support and instrumental support among the subfactors of family support, and that was affected in a negative way by affective support among the subfactors of social support. Therefore it could be said that the rural elderly people felt hopeless less when they were provided with more emotional support, more instrumental support and more affective support. Overall, social support had a negative impact on the hopelessness of the rural elderly people. The findings of the study suggest that in order to step up the improvement of rural elderly people's quality of life, a well-functioning model should be developed and applied in collaboration with local community, and the construction of a social support network is required as well.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.31-47
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• 2003

Quality design in practice highly depends on human designer's intuition and past experiences due to lack of formal knowledge about the relationship among 10 variables. This paper represents an data mining approach for developing quality design support system that integrates Case Based Reasoning (CBR) and Artificial Neural Networks (ANN) to effectively support all the steps in quality design process. CBR stores design cases in a systematic way and retrieve them quickly and accurately. ANN predicts the resulting quality attributes of design alternatives that are generated from CBR's adaptation process. When the predicted attributes fail to meet the target values, quality design simulation starts to further adapt the alternatives to the customer's new orders. To implement the quality design simulation, this paper suggests (1) the data screening method based on ξ-$\delta$ Ball to obtain the robust ANN models from the large production data bases, (2) the procedure of quality design simulation using ANN and (3) model management system that helps users find the appropriate one from the ANN model base. The integration of CBR and ANN provides quality design engineers the way that produces consistent and reliable design solutions in the remarkably reduced time.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.53-58
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• 2018

The study was done to compare quality of life by family therapy, self-esteem f teem insight factors which explain quality of life in individuals with schizophrenic patients. A questionnaire survey was conducted with 125 schizophrenia people in C region. The data were analyzed by SPSSWIN 21.0, t-test, ANOVA and Pearson correlation coefficient calculation and multiple regression analysis. The results were as follows. Impact quality of life of clients showed significant difference by religion, support team(p<.05). Quality of life were positively correleated with self-esteem and family support. Multiple regression analysis showed that 49.5% of the self esteem, insight, family support showed the quality of life. Development of programs for strengthening family support and self esteem is required for proper quality of life.

• Journal of Home Health Care Nursing
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• v.12 no.1
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• pp.136-154
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• 2005

Purpose : This study purposed to conduct a comprehensive survey of home care nursing clients' quality of life based on the PRECEDE model. Method : This study selected 74 home care nursing clients registered at a university hospital in Incheon and performed face-to-face interviews by structured questionnaire. The research period was two months from the $2^{nd}$ of February to the $30^{th}$ of March in 2004. Result : According to the result of assessment at each stage of the PRECEDE model, home care nursing clients' quality of life was 13.88 out of 25 points, health level 15.22 out of 21, abilities to perform activities of daily living 29.26 out of 100, cognitive abilities 16.00 out of 30, social support 13.68 out of 20, and satisfaction with home care nursing service 33.26 out of 40. According to the result of stepwise regression in order to identify factors influencing home care nursing clients' quality of life, social support and abilities of daily living were found to be significant variables among the characteristics of each assessment stage. Conclusion : It is necessary to develop nursing intervention strategies for strengthening social support and enhancing abilities to perform activities of daily living in order to improve home nursing clients' quality of life.

• Journal of Korean Society of Rural Planning
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• v.15 no.4
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• pp.59-74
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• 2009

This study reviews and modifies general IS success models to find success factors of WIS(Web-based Information Systems) and to confirm the relationship between WIS success and user's satisfaction of web use. A WISSM(Web-based Information Success Model extended to include EQ(E-Quality) is developed to anticipate user's intention to use Web-based Agricultural Information System and fit into the survey data from 252 WIS users of RDA(Rural Development Administration). PLS is applied to estimate a structural model based on EQ-WISSM to test hypotheses including 1) users reach a high level of intention to use Web-based Information Systems when they feel a high level of interactivity among an 'E-Quality', 'Decision Making Support Satisfaction' and 'Task Support Satisfaction', and E-Quality boosts intention to use Web-based Information Systems. The results show high path coefficients and $R^2$ values and find followings; First, the EQ-WISSM explains the user's intention to use WAIS quite well. Second, E-Quality can be used well in web-based IS environment to predict IS Success. Finally, this research finds the importance of 'Task Support Satisfaction' as a mediator between 'Decision Making Support Satisfaction', 'E-Quality' and 'Intention to Use'.