• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.665-673
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• 2020

Mokpo National Maritime University's Maritime College operates education and training programs that allow students to adapt to the specifics of ships and the oceans. The purpose of this study is to investigate the effect of student satisfaction on core competencies and self-directed competency through the operation of socially customized education programs. We surveyed the leaders in industry-university cooperation+ education programs, and selected TALK+, an education program capable of statistical analysis, as the focus of our analysis. The TALK+ program connects people in charge of communication with those in charge of reflecting the peculiarities of maritime universities. Data were collected using satisfaction surveys that returned 259 results. These were analyzed using a 5-point Likert scale that showed a high level of satisfaction with an average of 4 points or more. The satisfaction level showed that there is positive correlation between satisfaction levels and core competency and self-directed competency. In addition, a linear regression analysis was performed, and the results showed that satisfaction has a statistically significant effect on the improvement of core competencies and self-directed competencies (p<0.001). Through this study, it was confirmed that efforts to improve the satisfaction level and develop various comparisons method and programs are necessary.

• Journal of agricultural medicine and community health
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• v.39 no.2
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• pp.94-103
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• 2014

Objective: The purpose of this research was to define the factors influencing turnover intention of customized home health care nurses. Methods: Research participants were 237 nurses who worked in the customized home health care of 33 public health centers in Daegu city and Gyeong-Buk Province. The data were collected by self report questionnaires from July, 1 to August, 30, 2011. The data were analyzed by t-test, ANOVA, correlation coefficient, multiple stepwise regression using the SPSS program. Results: The average score for turnover intention was 3.12 (5 score) and job satisfaction was 2.41 (4 score). The scores for sub-categories of job satisfaction were operational factors, 1.99, personnel factors, 2.03, work factors, 2.64 and relationship factors, 3.04. Marital status, religion, visiting nurses career, employment status, work area were the significant factors related to turnover intention in these subjects. There was a significant negative correlation between job satisfaction and turnover intention (r=-0.354, p<0.001). Significant factors were job satisfaction, marital status, employment status (Cum $R^2$=0.198, F=17.179, p<0.001) that explained 19.8% of turnover intention. Conclusions: Customized home health care nurses management policy which includes job satisfaction and general characteristics of visiting nurses should be established to enhance of quality of customized home health care service.

• Journal of Korean society of Dental Hygiene
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• v.20 no.5
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• pp.697-706
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• 2020

Objectives: The purpose of this study was to analyze the factors that affect the test anxiety among dental hygiene students, including mental health and academic self-efficacy. Methods: A self-administered questionnaire survey was conducted among dental hygiene students in a metropolitan area from July 21 to July 31, 2020, and finally, 196 copies were statistically analyzed using SPSS 21.0. Results: The mean values of mental health, academic self-efficacy, and test anxiety among the dental hygiene students were 1.47±0.41, 2.99±0.46, and 2.76±0.74, respectively. Mental health was negatively correlated with self-efficacy (r=-0.346, p<0.01) and positively correlated with test anxiety (r=0.405, p<0.01), while academic self-efficacy was negatively correlated with test anxiety (r=-0.424, p<0.001). The factors that affect test anxiety were somatization (p<0.05), anxiety (p<0.05), paranoia (p<0.05), task preference (p<0.05), and confidence (p<0.001), which are the detailed items of academic self-efficacy. Conclusions: It is necessary to develop and apply customized health programs suitable for individual students to improve their mental health, as well as develop teaching and learning methods that can improve academic selfefficacy, as mental health and academic self-efficacy are influential factors in test anxiety among dental hygiene students.

• Women's Health Nursing
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• v.25 no.2
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• pp.169-181
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• 2019

Purpose: To determine association of contraceptive knowledge, sexual double standard, and contraceptive self-efficacy among unmarried women in their 30s and 40s. Methods: With a survey design, data were collected from 119 unmarried women in their 30s and 40s in G city of Korea from September 2017 to March 2018. Data were analyzed by descriptive statistics, independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson's correlation coefficients, and stepwise multiple regression. Results: Contraceptive knowledge, sexual double standard, and contraceptive self-efficacy scores of participants were $8.97{\pm}2.22$, $18.54{\pm}5.57$, and $45.84{\pm}6.90$, respectively. Contraceptive self-efficacy was negatively correlated with sexual double standard. Factors influencing contraceptive self-efficacy were sexual double standard (${\beta}=-.26$, p=.003), existence of boyfriend (${\beta}=.25$, p=.004), and contraceptive education need for adults (${\beta}=.17$, p=.044). They explained 19% of contraceptive self-efficacy of participants. Conclusion: To increase contraceptive self-efficacy of unmarried women in their 30s and 40s, lowering sexual double standard and developing customized contraceptive education according to age and knowledge level are needed. Research on factors related to contraceptive self-efficacy of unmarried women in their 30s and 40s from various regions are also needed in the future.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.39-47
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• 2023

The development of autonomous driving and Advanced Driver Assistance System (ADAS) technology has grown rapidly in recent years. As most traffic accidents occur due to human error, self-driving vehicles can drastically reduce the number of accidents and crashes that occur on the roads today. Obviously, technical advancements in autonomous driving can lead to improved public driving safety. However, due to the current limitations in technology and lack of public trust in self-driving cars (and drones), the actual use of Autonomous Vehicles (AVs) is still significantly low. According to prior studies, people's acceptance of an AV is mainly determined by trust. It is proven that people still feel much more comfortable in personalized ADAS, designed with the way people drive. Based on such needs, a new attempt for a customized ADAS considering each driver's driving style is proposed in this paper. Each driver's behavior is divided into two categories: assertive and defensive. In this paper, a novel customized ADAS algorithm with high classification accuracy is designed, which divides each driver based on their driving style. Each driver's driving data is collected and simulated using CARLA, which is an open-source autonomous driving simulator. In addition, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) machine learning algorithms are used to optimize the ADAS parameters. The proposed scheme results in a high classification accuracy of time series driving data. Furthermore, among the vast amount of CARLA-based feature data extracted from the drivers, distinguishable driving features are collected selectively using Support Vector Machine (SVM) technology by comparing the amount of influence on the classification of the two categories. Therefore, by extracting distinguishable features and eliminating outliers using SVM, the classification accuracy is significantly improved. Based on this classification, the ADAS sensors can be made more sensitive for the case of assertive drivers, enabling more advanced driving safety support. The proposed technology of this paper is especially important because currently, the state-of-the-art level of autonomous driving is at level 3 (based on the SAE International driving automation standards), which requires advanced functions that can assist drivers using ADAS technology.

• Korean Journal of Health Education and Promotion
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• v.29 no.1
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• pp.1-11
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• 2012

Objectives: The nurse visiting health service named Customized Visiting Health Care Program(CVHCP) requires the service innovations incorporating community support into a local service network. The purpose of this study was to assess the community network in CVHCP and inform improvement in this network. Methods: We used Social Network Analysis(SNA) in one CVHCP at H city. Network links were generated by self-administered questionnaires by the 14 community resource centers who quantified their links to all other 25 agents on the list. Links were analyzed by a dichotomous scale for any experience of collaboration and a scored scale of 0 to 3 for level of collaboration using UCINET v6. Results: A list of 14 agents was generated, and local network was dominated by the Public Health Center and a local welfare center named Unlimited Care Center(UCC). According to centrality score, UCC was the most prominent agent, and Public Health Center was the most influential agent, being a link in the pathway flow between other agents for 9.5% of contribution. CVHCP scored lower rank of prominent with 30.8% of other agents reported referring to it. Conclusions: Social network analysis provides a useful network description for informing and evaluation service network improvement in maximizing its service for the CVHCP.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.234-243
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• 2012

Purpose: This study was done to: (a) examine relationships between creative nursing practice and job satisfaction, and organizational commitment that nurses perceive in a hospital, and (b) identify creative nursing practice factors affecting job satisfaction and organizational commitment. Method: Using self-report questionnaires including 25 items of the Creative Nursing Practice Index, a descriptive study was conducted with a sample of 387 nurses working in the nursing care units of a general hospital in Seoul, Korea. Data were analyzed, using independent t-test, ANOVA, Pearson correlation, and hierarchical multiple regression analysis. Result: The mean score for nurses performance of creative practice was $2.29{\pm}0.46$ (range 1 to 4). Creative nursing practice had positive correlation with nurses' job satisfaction (r=.427, p<.001) and organizational commitment (r=.433, p<.001). Creative nursing practice factors influencing job satisfaction were implementing customized care (${\beta}$=.158, p=.010), making new knowledge (${\beta}$=.257, p<.001), and searching ideas (${\beta}$=.209, p<.001). Nurses' organizational commitment was influenced by implementing customized care (${\beta}$=.192, p=.002), making new knowledge (${\beta}$=.158, p=.028), searching ideas (${\beta}$=.254, p<.001), sharing ideas (${\beta}$=.250, p=.003), and validating ideas (${\beta}$=.189, p=.036). Conclusions: The results indicate a need to develop nurses' creative competency to pursue quality care as well as increase nurses' job satisfaction and organizational commitment.

• The Journal of Korea Robotics Society
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• v.13 no.1
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• pp.31-37
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• 2018

Recently, the safety in vehicle also has become a hot topic as self-driving car is developed. In passive safety systems such as airbags and seat belts, the system is being changed into an active system that actively grasps the status and behavior of the passengers including the driver to mitigate the risk. Furthermore, it is expected that it will be possible to provide customized services such as seat deformation, air conditioning operation and D.W.D (Distraction While Driving) warning suitable for the passenger by using occupant information. In this paper, we propose robust vehicle occupant detection algorithm based on RGB-Depth-Thermal camera for obtaining the passengers information. The RGB-Depth-Thermal camera sensor system was configured to be robust against various environment. Also, one of the deep learning algorithms, OpenPose, was used for occupant detection. This algorithm is advantageous not only for RGB image but also for thermal image even using existing learned model. The algorithm will be supplemented to acquire high level information such as passenger attitude detection and face recognition mentioned in the introduction and provide customized active convenience service.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.169-179
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• 2014

This study conducted a comparison analysis of the differences by scope between juvenile delinquents, under sentence of juvenile protective disposition, and normal middle high school boys' self-esteem and sociality; it aims to search for the correctional policy to prevent juvenile delinquency. I conducted a survey, as a sampling target, of students (84) at Daedeok Juvenile Reformatory, located in Daejeon-si, Korea, and the normal middle high school boys (230). The results of analysis showed that in the analysis of self-esteem difference, juvenile delinquents were found high in the global self-esteem and school-academic self-esteem, but the normal adolescents were found high only in the scope of family-parents self-esteem. In leadership, a subordinate scope of sociality, juvenile delinquents showed the high result, and in independence and cooperativity, normal adolescents were found high. In conclusion, as the distinction between self-esteem and sociality is different by scope, depending on the individual's characteristic and environment, it suggests that the correctional policy through the customized plan is effective at preventing delinquency.

• Journal of Home Health Care Nursing
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• v.22 no.2
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• pp.206-215
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• 2015

Purpose: This study aimed to provide basic data to enhance self-nursing ability by investigating the symptoms of autonomic neuropathy and self-management activities in patients with diabetes accompanying hypertension. Methods: Subjects were 113 type-2 diabetic patients who were diagnosed as hypertensive in two primary medical institutions and taking anti-hypertensive treatments. The existence of postural hypotension was evaluated by blood pressure and pulse rate, and the subjective symptoms of autonomic neuropathy and self-management activities were checked by structured questionnaires. The collected data were analyzed by chi-square test, Fisher's exact test, t-test, Wilcoxon rank sum test and analysis of covariance. Results: Postural hypotension occurred in 4.4% of the subjects. Urinary frequency and dizziness during postural changes were the most frequent symptoms of autonomic neuropathy, and 57.5% of the subjects complained of symptoms in two or more domains. The group with autonomic neuropathy symptoms showed higher age, higher living stress, and fewer self-management activities in the diet and foot management domains as compared to the group without autonomic neuropathy symptoms. Conclusion: From these results, we learned that strengthening education on self-management for diet and foot management and customized interventions considering age and living stress are required through early identification of the symptoms of autonomic neuropathy in patients with diabetes accompanying hypertension.