• Journal of Korean Academy of Nursing
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• v.39 no.4
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• pp.518-527
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• 2009

Purpose: The purpose of this study was to identify factors influencing quality of life in kidney transplant recipients and to understand the concrete pathway of influence and the power of each variable, so that integrated prediction model to promote the quality of life of kidney transplant recipients could be developed. Methods: The sample was composed of 218 patients in follow-up care after a kidney transplant in one of 4 university hospitals in the Honam area. A structured questionnaire was used and the collected data were analyzed for fitness, using the LISREL program. Results: This model was concise and extensive in predicting the quality of life of kidney transplant recipients. Conclusion: The research verified the factors influencing quality of life for kidney transplant recipients and it verified that direct factors such as perception of health state, compliance, self-efficacy, stress and indirect factors such as self-efficacy and social support can be important factors to predict the quality of life for recipients. Moreover, those variables represent 87% of variance in explaining quality of life in a prediction model so that the variables can be utilized to predict quality of life for kidney transplant recipients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.297-305
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• 2019

This study was conducted to compare the factors affecting quality of life according to the perception of subjective body image in adult women as a secondary study of the 7th 1st year Korean National Health and Nutrition Examination Survey data. The subjects were 3,392 adult women and their general characteristics, physical factors and psychological factors were analyzed. Data were analyzed using the IBM SPSS 25.0 program after generating weighted composite sample plans and the significance level was set at 0.05. Factors influencing the quality of life of subjects who perceived their subjective body image as thin were education level, birth experience, depression, and subjective health and their explanatory power was 43.1%. Factors influencing the quality of life for those who perceived their bodies as moderate were education level, depression, and subjective health, and their explanatory power was 26.5%. Factors that affected quality of life for those who perceive their bodies as obese were age, weight change for one year, weight control for one year, presence of high blood pressure, BMI, and subjective health, and their explanatory power was 40.9%. The results of this study indicate it is necessary consider the factors influencing each subjective perception to improve individual quality of life.

• Journal of the Korean Home Economics Association
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• v.46 no.8
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• pp.121-133
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• 2008

The purpose of this study was to decipher the BRQ (Brand Relationship Quality) Construct of fashion product consumers and to identify influencing variables. Consumption values of consumers, fashion product attributes and marketing communication instruments were investigated as affecting variables. A questionnaire was distributed to 350 women between the age of 20 and 50 living in Seoul and other metropolitan areas from Mar. 5 to Mar. 18, 2008. Collected data were analyzed by factor analysis, reliability, multiple regression, frequency and percentage using SPSS (Version 15,0) statistical Package. The results were as follows: Firstly, the BRQ Construct of fashion product consumers was proved to be composed of five factors; 'self-connective love', 'pursuing symbol', 'trust', 'intimacy', and 'knowledge'. Secondly, consumption values had a significant effect on the BRQ Construct and their explanatory power was 32%, 'Epistemic value' was the most significant variable affecting BRQ. 'Functional value' had a significant influence on some BRQ factors. Thirdly, explanatory power of fashion product attributes affecting BRQ was 45%. 'Aesthetic attribute' had significant effect on all BRQ factors, while 'functional attribute' showed significant effect on only 'pursuing symbol', 'trust', and 'intimacy'. Finally, marketing communication mixes showed 21% explanatory power and 'word of mouth' and 'display' among marketing communication mixes were found as the most influential variables affecting the BRQ Construct.

• Journal of Power Electronics
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• v.16 no.4
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• pp.1483-1493
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• 2016

Multiple parallel inverters have multiple resonant frequencies that are influenced by many factors. This often results in stability and power quality problems. This paper develops a multiple input multiple output model of grid-connected inverter systems using a closed-loop transfer function. The influence factors of the resonant characteristics are analyzed with the developed model. The analysis results show that the resonant frequency is closely related to the number, type and composition ratio of the parallel inverters. To suppress resonance, a scheme based on virtual impedance is presented, where the virtual impedance is emulated in the vicinity of the resonance frequency. The proposed scheme needs one inverter with virtual impedance control, which reduces the design complexity of the other inverter controllers. Simulation and experimental tests are carried out on two single phase converter-based setups. The results validate the correctness of the model, the analytical results and the resonant suppressing scheme.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.62-66
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• 2010

Company which produce the latest plastic products of survival dimension for competitive power security productivity elevation activity hard do. But enterprises is lacking value elevation activity that customer among product special quality is thinking heftily and isn't grasping well adjusted impact factors. So, addition quality failure cost is produced. In this research, investigated impact factor and factors influencing most heftily in quality for productivity elevation. As a result, present example that serve to control well importance benevolence.

• Korean System Dynamics Review
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• v.3 no.2
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• pp.49-68
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• 2002

The intent of this study is to develop system dynamics model for assessment of organizational and human factors in nuclear power plant which can contribute to secure the nuclear safety. Previous studies are classified into two major approaches. One is engineering approach such as ergonomics and probability safety assessment(PSA). The other is social science approach such like sociology, organization theory and psychology. Both have contributed to find organization and human factors and to present guideline to lessen human error in NPP. But, since these methodologies assume that relationship among factors is independent they don't explain the interactions among factors or variables in NPP. To overcome these limits, we have developed system dynamics model which can show cause and effect among factors and quantify organizational and human factors. The model we developed is composed of 16 functions of job process in nuclear power, and shows interactions among various factors which affects employees' productivity and job quality. Handling variables such like degree of leadership, adjustment of number of employee, and workload in each department, users can simulate various situations in nuclear power plant in the organization side. Through simulation, user can get insight to improve safety in plants and to find managerial tools in the organization and human side. Analyzing pattern of variables, users can get knowledge of their organization structure, and understand stands of other departments or employees. Ultimately they can build learning organization to secure optimal safety in nuclear power plant.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.651-662
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• 2021

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

• Journal of Energy Engineering
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• v.4 no.3
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• pp.338-343
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• 1995

The objective of this study is to predict the reliability of the electronic control module at ROD control system in nuclear power plant. Maintaining of the reliability is important issue in the complext system like nuclear plower plant, military equipment, satelite system, etc., because the failure of reliability brings etravagant economic loss and deteriorates public acceptance. In addition to the prediction of reliability, the fators affect the reliability including operating condition, environment, temperature and quality factors were analyzed and simulated. The result shows that the quality factors are more critical for the higher reliability than other two factors.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.50-52
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• 2005

Research interests in PQ(Power Quality) measurement and monitoring system have been increased. This paper describes an experimental result for monitoring system that monitors power quality and undesirable accidents when distributed generations are connected to the power grid. Prior to develop a physical monitoring system for distributed generation applications, we constitute a mesuring system for the general PQ factors. In this paper, an approach to how to measure the PQ elements is presented by using TMS320C6701 processor. Simulation results using the PSCAD and the power system simulation equipment Dobel have verified the proposed measurement system.

• Journal of Korean Gerontological Nursing
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• v.20 no.3
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• pp.193-203
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• 2018

Purpose: This study was done to develop a predictive model for quality of life of elderly residents in long-term care facilities (LTCF). The study was based on Brofenbrenner's ecological system theory and a literature review. Methods: Data were collected using a convenience sample of 205 elderly residents in 2 nursing homes located in D city and 1 nursing home located in K province. The exogenous variables were individual factors, family support, and facility environmental factors. The endogenous variables were self-esteem, accommodation adaptation and quality of life of elderly residents in LTCF. Collected data were analyzed through structural equation modeling using AMOS 20.0. Results: Eleven of the twelve hypotheses were supported, but the hypothesis that facility environment factors effect self-esteem was not supported. Quality of life of elderly residents in LTCF was explained first by facility environmental factors, followed by self-esteem, individual factors, accommodation adaptation, and family support with an explanatory power of 83.0%. Conclusion: To improve the quality of life of elderly residents in LTCF, the service and environment preparation provided by facilities is important, and it is necessary to provide emotional counseling to improve the self-esteem of these elders.