• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.346-359
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• 2016

This study was conducted to find a method of improving social support in college students by analyzing the effects of interpersonal sensitivity and social support on college life satisfaction. To achieve the purpose of the study, questionnaires were distributed to 475 students in six colleges located in Busan Metropolitan City and the collected data were used for analysis. Then, hierarchical regression analysis was conducted using the SPSS statistic program. The major study findings are as follows. First, interpersonal sensitivity negatively influenced social support. Second, interpersonal sensitivity negatively influenced college life satisfaction. Third, social support positively influenced college life satisfaction. Fourth, social support had a mediating effect in the influence of interpersonal sensitivity on college life satisfaction. These study findings demonstrate that there is a need to develop a psychological counseling program for reducing interpersonal sensitivity of college students and improving social support and expand an interpersonal relationship and family relationship improvement program.

• Journal of Korean Academy of Nursing
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• v.51 no.6
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• pp.678-688
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• 2021

Purpose: The purpose of this study was to identify factors influencing nurses' performance of care in COVID-19 wards. Methods: The participants were 132 nurses who worked in COVID-19 wards at three hospitals, and were recruited from April 1 to May 31, 2021. Data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis with SPSS/WIN 24.0 program. Results: Nursing performance was significantly and positively correlated with ethical sensitivity (r = .75, p < .001), nursing professionalism (r = .67, p < .001), and social support (r = .67, p < .001). Nursing professionalism was positively correlated with ethical sensitivity (r = .64, p < .001) and social support (r = .55, p < .001). Multiple regression analysis for nursing performance revealed that the most significant factor was ethical sensitivity (β = .47, p < .001). Ethical sensitivity, nursing professionalism, and social support explained 66.0% of total variance in nursing performance. Conclusion: Ethical sensitiviy, nursing professionalism, and social support significantly influence nurses' performace of care in COVID-19 wards. It suggests that intervention programs should be directed at improving nurses' ethical sensitivity, bolstering social support, and enhancing nursing professionalism.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.189-196
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• 2022

This study confirmed the moderating effect of online social support on the rejection sensitivity and SNS addiction tendency of adults. For this purpose, a survey was conducted using the SNS addiction propensity scale, rejection sensitivity scale, and online social support scale targeting 486 adults nationwide. The collected data were analyzed using SPSS 27 and PROCESS Macro 3.5. As a result of this study, first, SNS addiction tendency, rejection sensitivity, and online social support were all positively correlated. Second, in the relationship between rejection sensitivity and SNS addiction tendency, online social support showed a moderating effect in the male group. The results of this study are significant in that they confirmed the importance of rejection sensitivity and online social support in confirming the tendency of SNS addiction in male and female groups. Based on these results, the limitations of this study and suggestions for follow-up studies were presented.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.1
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• pp.78-87
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• 2014

Recently the offshore wind turbine development is requested to be installed off south-west coast and Jeju island in Korea. Reliable and robust support structures are required to meet the demand on the offshore wind turbine in harsh and rapidly varying environmental conditions. Monopile is the most preferred substructure in shallow water with long term experiences from the offshore gas and oil industries. This paper presents an optimum design of a monopile connection with grouted transition piece (TP) for the reliable and cost-effective design purposes. First, design loads are simulated for a 5 MW offshore wind turbine in site conditions off the southwest coast of Korea. Second, sensitivity analysis is performed to investigate the design sensitivity of geometry and material parameters of monopile connection based on the ultimate and fatigue capacities according to DNV standards. Next, optimization is conducted to minimize the total mass and resulted in 30% weight reduction and the optimum geometry and material properties of the monopile substructure of the fixed offshore wind turbine.

• Geomechanics and Engineering
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• v.13 no.3
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• pp.447-458
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• 2017

This study proposes a sensitivity analysis method for slope stability based on the least squares support vector machine (LS-SVM) to examine the influencing factors of slope stability. The method uses LS-SVM as an algorithm for machine learning. An appropriate training dataset is established according to the slope characteristics, and a testing dataset is designed orthogonally. Results of the testing data in the experiment design are calculated after training using the LS-SVM model. The sensitivity of the slope stability of each factor is examined via gray correlation analysis. The results are consistent with those of the traditional Bishop analysis and can be used as a reference for optimizing slope design.

• Human Ecology Research
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• v.53 no.6
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• pp.595-604
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• 2015

This study analyzes child variables (child's temperament and child's depression) and parent variables (spouse support, social support, and job satisfaction) associated with married nurse parenting stress and provides data that can assist institutional support mechanisms. The research targeted 232 nurses at five general hospitals in Seoul, Gyeonggi-do, Jeolla-do, Chungcheong-do with elementary children. Data were analyzed using t-test, Pearson correlation analysis, and hierarchical regression analysis. The results of the study were as follows. First, there were significant correlations in parenting age, child number and parenting stress for mothers. Second, married nurses with high sociality of temperament, low sensitivity of temperament, and high activity of temperament child as well as married nurses with spouse support, social support, job satisfaction saw a reduction in high levels of parenting stress. Third, the results of this study showed that child depression, sensitivity of temperament, spouse support, and job satisfaction were factors to understand married nurses parenting stress. Child depression was an important factor to understand married nurses parenting stress. The results indicated variables affecting parenting stress of married nurses and suggested directions for the social welfare system.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.590-599
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• 2019

The purpose of this study is to identify the mediated effects of social support in relation to college students' emotional control ability and rejection sensibility, and to provide basic data to intervene in students with high resistance sensibility. To this end, a survey of 449 university students was conducted and the hypothesis of this study was verified using a structural equation model. The analysis results are as follows. First, the relationship between emotional control ability, rejection sensibility and social support perceived by university students through correlation analysis showed significant correlation between emotional control ability, social support and rejection sensitivity. Second, in the structural model of social support in relation to emotional control ability and rejection sensibility, it was confirmed that social support played a role between emotional control ability and rejection sensibility. Based on the results of this study, some suggestions for the application and follow - up studies were discussed.

• Journal of KSNVE
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• v.10 no.4
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• pp.648-654
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• 2000

A procedure to determine the realizable optimal positions of rigid supports is suggested to get a maximum fundamental natural frequency. a measured frequency response function based substructure-coupling technique is used to model the supported structure. The optimization procedure carries out the eigenvalue sensitivity analysis with respect to the stiffness of supports. As a result of such stiffness optimization, the optimal rigid-support positions are shown to be determined by choosing the position of the largest stiffness. The optimally determined support conditions are verified to satisfy the eigenvalue limit theorem. To demonstrate the effectiveness of the proposed method, the optimal support positions of a plate model are investigated. Experimental results indicate that the proposed method can effectively find out the optimal support conditions of the structure just based on the measured frequency response functions without any use of numerical model of the structure.

• Journal of KSNVE
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• v.10 no.5
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• pp.783-791
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• 2000

This describes a study on the support location optimizations of the beams using the genetic algorithm and the sensitivity analysis. The genetic algorithm is a probabilistic method searching the optimum at several points simultaneously and requiring only the values of the object and constraint functions. It has therefore more chances to find the global solution and can be applied to the various problems. Nevertheless, it has such a shortcoming that it takes too many calculations, because it is ineffective in local search. While the traditional method using sensitivity analysis is of great advantage in searching the near optimum. thus the combination of the two techniques will make use of the individual advantages, that is, the superiority in global searching form the genetic algorithm and that in local searching form the sensitivity analysis. In this thesis, for the practical applications, the analysis is conducted by FEB ; and as the shapes of structures are taken as the design variation, it requires re-meshing for every analysis. So if it is not properly controlled, the result of the analysis is affected and the optimized solution amy not be the real one. the method is efficiently applied to the problems which the traditional methods are not working properly.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.13-25
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• 2004

In the online shopping environment, consumers suffer from the process of selecting an optimal supplier. Although comparison shopping agent-based web sites and consumers' online community sites support the selection process, they have limitations when considering diverse and dynamic purchase conditions as a whole, which is the cause of additional consumer effort for optimal supplier selection. This study provides a decision support model with a sensitivity analysis for selecting an optimal supplier considering purchase conditions as a whole. It screens suppliers with filtering factors and provides optimal suppliers through a sensitivity analysis from a Quadratic Programming model. We implemented a prototype system and showed that it could be an effective decision support system for selecting the optimal supplier in the online shopping environment.