• Journal of Digital Convergence
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• 제18권3호
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• pp.189-194
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• 2020

Recently, various clustering techniques have been studied to efficiently handle data generated by heterogeneous IoT devices. However, existing clustering techniques are not suitable for mobile IoT devices because they focus on statically dividing networks. This paper proposes a probabilistic deep learning-based dynamic clustering model for collecting and analyzing information on IoT devices using edge networks. The proposed model establishes a subnet by applying the frequency of the attribute values collected probabilistically to deep learning. The established subnets are used to group information extracted from seeds into hierarchical structures and improve the speed and accuracy of dynamic clustering for IoT devices. The performance evaluation results showed that the proposed model had an average 13.8 percent improvement in data processing time compared to the existing model, and the server's overhead was 10.5 percent lower on average than the existing model. The accuracy of extracting IoT information from servers has improved by 8.7% on average from previous models.

• Journal of Digital Convergence
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• 제18권1호
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• pp.177-186
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• 2020

The purpose of this study was to identify the mediating effect of organizational citizenship behavior in relation between incivility and professional quality of life. The data collected from June 8, 2018 to June 29, 2018, and the questionnaire from 250 nurses at 3 general hospital in D city. The data were analyzed by t-test, ANOVA, Scheffe's test, Pearson's correlation, hierarchical analysis and Sobel test. Organizational citizenship behavior showed perfect mediating effect in the relationship between incivility experienced by nurses and compassion satisfaction, and partial mediating effect in the relationship between incivility experienced by nurses and burnout. The results indicate that it is necessary to develop strategies and applications to enhance organizational citizenship behavior for improved professional quality of life of a nurses who experience incivility.

• Journal of Digital Convergence
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• 제18권8호
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• pp.243-252
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• 2020

This study was a descriptive study to determine whether proactivity in problem solving and system thinking are variables affecting the resilience of nursing students. The subjects of this study were 236 students and the data was collected from November 11 to 29, 2019. For data analysis, descriptive statistics, t-test, correlation and hierarchical regression analysis were used. As a result of the study, Proactivity in Problem Solving and system thinking were significantly correlated with resilience. Adaptation of nursing, proactivity in Problem Solving, and system thinking of nursing students were found to be factors affecting their resilience, and they explained resilience at 71.4%. Therefore, in order to strengthen the resilience of nursing students, it is necessary to run a curriculum that includes proactivity in problem solving and system thinking as core nursing competencies.

• Journal of Digital Convergence
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• 제18권9호
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• pp.211-219
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• 2020

This study was conducted to investigate the effects of communication competence and interpersonal understanding on empathy of nursing students who have experienced fundamental nursing skills course. The subjects of this study were 122 second-year nursing students in a university. Data were collected using a questionnaire from September to December 2018. The data were analyzed by descriptive statistics, correlations and hierarchical regression using the SPSS 22.0 program. Factors affecting empathy were active participation in the practice, communication skills, and understanding of interpersonal. Therefore, In order to improve the empathy of nursing students, it is necessary to introduce a step-by-step empathy education program into the curriculum that can contribute to establishing a device that can induce active participation in practice and contribute to communication and interpersonal relationships.

• Human Ecology Research
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• 제55권6호
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• pp.649-659
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• 2017

This study investigated the effect of a child care center directors' work stress and awareness of their servant leadership on burnout. The subjects of this study were 200 child care center directors in Incheon. They responded to 'Work Stress Scale', 'Maslach Burnout Inventory (MBI)', 'Servant Leadership Scale'. There were five subscales of Servant Leadership Scale (altruistic calling, emotional healing, wisdom, persuasive mapping, and organizational stewardship). Data were analyzed by frequency, percentage, mean, standard deviation, Pearson's correlation and hierarchical regression. Moderating effects were examined using analysis procedures of Baron and Kenny. The major results were as follows. First, child care center directors' burnout and work stress were positively correlated. Child care center directors' burnout and awareness of their servant leadership (emotional healing, wisdom, persuasive mapping, and organizational stewardship) was negatively correlated. Second, child care center directors' work stress, emotional healing, persuasive mapping and organizational stewardship affected their burnout. This means that the work stress of child care center directors increases their burnout. However, the child care center director's servant leadership is a factor in reducing burnout. Third, child care center directors' work stress and organizational stewardship had an interaction effect on burnout. The results suggests that child care center directors' organizational stewardship needs to be considered as an important factor for decreasing their own burnout. We also discussed implications and suggestions for future research and policy makers.

• Korean Journal of Health Education and Promotion
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• 제26권2호
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• pp.1-13
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• 2009

Objectives: This study identified how personal characteristics, family environment, governmental policy for the prevention and cessation of smoking might influence on adolescent smoking. Methods: This study used data from the 2006 Korea Youth Risk Behavior Web-based Survey of 71,404 middle school and high school students, giving a response rate of 90.9%. We selected 61,508 adolescents subjects of the final analysis without missing data on independent variables and dependent variables which are used in this study. This study used $\chi^2$ tests and logistic regression models. Variables were added to the regression model in three groups using a hierarchical approach.Results: Adolescents were significantly more likely to become current smokers if they were boys, were in a higher grade, and had lower academic achievement. Adolescents experiencing stress and depression were associated with increased risk of current smoking. Adolescents with single parents or students of non-living with parents comparing with students of living with parents showed the high possibility of smoking. Lower father's education was associated with increased likelihood of current smoking. Adolescents who were exposed to smoking at home were more likely to smoke. Adolescents without contacting with the antismoking media campaign was associated with increased likelihood of current smoking. Conclusion: Promoting antismoking media campaigns targeted at adolescent is required, and the smoking prevention education which are proper for subjects are required. Proper plans which could decrease the exposure of secondhand smoking should be established.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제38권3호
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• pp.56-63
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• 2015

Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used. In order to increase the utilization of these systems, most schedulers use backfilling policy: Small jobs are moved ahead to fill in holes in the schedule when large jobs do not delay. Since an estimate of the runtime is necessary for backfilling, most parallel systems use user's estimated runtime. However, it is found to be extremely inaccurate because users overestimate their jobs. Therefore, in this paper, we propose a novel system for the runtime prediction based on workload-aware clustering with the goal of improving prediction performance. The proposed method for runtime prediction of parallel applications consists of three main phases. First, a feature selection based on factor analysis is performed to identify important input features. Then, it performs a clustering analysis of history data based on self-organizing map which is followed by hierarchical clustering for finding the clustering boundaries from the weight vectors. Finally, prediction models are constructed using support vector regression with the clustered workload data. Multiple prediction models for each clustered data pattern can reduce the error rate compared with a single model for the whole data pattern. In the experiments, we use workload logs on parallel systems (i.e., iPSC, LANL-CM5, SDSC-Par95, SDSC-Par96, and CTC-SP2) to evaluate the effectiveness of our approach. Comparing with other techniques, experimental results show that the proposed method improves the accuracy up to 69.08%.

• Journal of Digital Convergence
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• 제14권7호
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• pp.185-191
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• 2016

Recently, various medical services are provided with the advance of IT. However, there is a problem that a third party would exploit medical information when the information is sent and received through wired or wireless connection. In this paper, a patient information management scheme using group index information for the third party not to illegally exploit a patient's medical information without his consent is proposed. This proposed scheme creates index information in each hierarchical level to be used with access information so that not only medical staff can have access to patient's medical information hierarchically but also it can manage access level in groups. The scheme aims to enable the medical staff to minimize the time spent to analyze the type of disease and to prescribe for it so that they can improve patients' satisfaction. Plus, the scheme aims to improve work efficiency by minimizing the medical staff's workload according to the authority to access patients' medical information.

• Journal of Digital Convergence
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• 제14권7호
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• pp.233-241
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• 2016

The aim of this study was to analyze relations of stress, job satisfaction, organizational commitment and turnover intention in medical technicians. The subjects were 468 medical technicians in 10 general hospitals. Data were collected using a structured questionnaire from July 1, 2015 to August 30, 2015 and analyzed with descriptive statistics, ANOVA, t-test, Pearson's correlation, Hierarchical multiple regression analysis. The mean score of stress level was $2.62{\pm}0.69$, satisfaction level $2.92{\pm}0.62$, organizational commitment $3.37{\pm}0.63$, and turnover intention $2.97{\pm}0.68$. We found the positive correlations of turnover intention with stress. There were negative correlations among job satisfaction, organizational commitment and turnover intention. These results showed that medical technicians were needed to minimize stress in order to maintain job satisfaction, organizational commitment and decrease turnover intention.

• Journal of Digital Convergence
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• 제11권10호
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• pp.419-429
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• 2013

The Wireless sensor network(WSN) consisting of a large number of sensors aims to gather data in a variety of environments. The sensor nodes operate on battery of limited power. so, To extend network life time is major goals of research in the WSN. In this paper, we state the key point of a energy consumption with minimum&load balancing. The proposed protocol guarantee balance of number of cluster member nodes using the node memory threshold and optimization of distribution of cluster head using the optimized clustering method. The results show that the proposed protocol could support the load balancing and high energy efficiency by distributing the clusters with a reasonable number of member nodes. The simulation results show that our schme ensure longer life time in WSN as compare with existing schemes such as LEACH and CBLM.