• Journal of Industrial Convergence
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• v.21 no.4
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• pp.101-109
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• 2023

The aim of this study is to verify the relationships of factors affecting nursing performance of clinical nurses focused on positive affective events. The subjects of this study were 275 clinical nurses from secondary and tertiary general hospitals. Data collection was conducted for two months from May 2021 through an online survey through snowball sampling. Data analyzed was using SPSS 26.0 and AMOS 26.0. The variables affecting job satisfaction included direct effect of positive affective events (β=.65, p<.001), and direct effect of positive affectivity (β=.10, p=.038). Job satisfaction (β=.47, p<.001) had statistically significant direct effects on nursing performance. Positive affective events (β=.32, p=.003) and positive affectivity (β=.05, p=.039) had statistically significant indirect effects on nursing performance. These variables explained for 22% of nursing performance. However, emotional labor had no significant effect on job satisfaction and nursing performance. The results indicate that positive affective events and positive affectivity result in high degree of job satisfaction. Job satisfaction would increase the level of nursing performance. Therefore, in order to improve nursing performance, it is necessary to provide educational opportunities and interventions that can promote positive work environment and positive affectivity.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.165-170
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• 2023

There are cases where the mobility impaired have difficulty moving from the moment they leave the house. If guardians also do not have time to entrust their families, who are socially disadvantaged, to a shelter, the guardian has no choice but to check directly in order to know the location of the guardian. The AI home care solution was designed to relieve the anxiety and labor of caregivers and to provide convenience for protection facility officials and users. If more facilities distribute and use services free of charge to non-profit foundations and protective facilities, the concern of guardians will be reduced, and the burden of facility officials who have to manage facility users will be reduced. In this paper, we provide emergency notification services to guardians in the event of an emergency as well as location and status alarms for guardians, which are all data related to movement, in consideration of the mobility vulnerable. Furthermore, it is necessary to provide a service function that recommends the optimal route using a navigation function to ease the convenience and burden of facility officials. It is necessary to alleviate anxiety by providing necessary information to the guardian, such as the location of the shuttle used by the mobile weak and the time of getting on and off. In addition, while providing services for free, the goal is to improve the quality of service for facility managers and the quality of service for the mobility weak.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.93-111
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• 2022

This study started with the question of 'What innovative task should elementary and secondary school clothing life education perform in accordance with the changes in the future educational environment?' It is time to prepare for a major shift in the educational paradigm that improves the quality of life for all everyone, based on social innovations such as the 4th industrial revolution and the transition to the post-corona era. This study examined the literature for the characteristics of changes in the future educational environment from an educational perspective, and examined the curriculum focusing on the clothing life with the porpose of presenting the direction for the clothing life education. In order to carry out this study, various literature including previous studies related to clothing life education and the national curriculum from the first curriculum to the 2015 revision were analyzed. In conclusion, the direction of the clothing life education curriculum according to the changes in the future educational environment is proposed as follows: First, nurturing convergence education experts that can combine human emotion, environment, and clothing life culture to artificial intelligence(AI); second, developing a clothing life education curriculum that links software competency and practical problem-solving competency; and lastly, implementing fashion maker education using artificial intelligence(AI) and value-oriented clothing life education. In the future, it is expected that the direction of teaching/learning methods and evaluation in clothing life education curriculum is proposed, and that this educational discussion process will help establish the identity of clothing life education in school education.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

• Geophysics and Geophysical Exploration
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• v.26 no.3
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• pp.114-125
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• 2023

The physics-informed neural network (PINN) has been proposed to overcome the limitations of various numerical methods used to solve partial differential equations (PDEs) and the drawbacks of purely data-driven machine learning. The PINN directly applies PDEs to the construction of the loss function, introducing physical constraints to machine learning training. This technique can also be applied to wave equation modeling. However, to solve the wave equation using the PINN, second-order differentiations with respect to input data must be performed during neural network training, and the resulting wavefields contain complex dynamical phenomena, requiring careful strategies. This tutorial elucidates the fundamental concepts of the PINN and discusses considerations for wave equation modeling using the PINN approach. These considerations include spatial coordinate normalization, the selection of activation functions, and strategies for incorporating physics loss. Our experimental results demonstrated that normalizing the spatial coordinates of the training data leads to a more accurate reflection of initial conditions in neural network training for wave equation modeling. Furthermore, the characteristics of various functions were compared to select an appropriate activation function for wavefield prediction using neural networks. These comparisons focused on their differentiation with respect to input data and their convergence properties. Finally, the results of two scenarios for incorporating physics loss into the loss function during neural network training were compared. Through numerical experiments, a curriculum-based learning strategy, applying physics loss after the initial training steps, was more effective than utilizing physics loss from the early training steps. In addition, the effectiveness of the PINN technique was confirmed by comparing these results with those of training without any use of physics loss.

• Journal of Korean Dental Hygiene Science
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• v.6 no.1
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• pp.51-63
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• 2023

Background: This study involved a geriatric oral care expert who developed the competencies of students in the Department of Dental Hygiene and conducted preliminary research to develop an effective curriculum. Methods: A questionnaire was conducted in the last week of class targeting students who took courses in geriatric dentistry, geriatric dental hygiene, and practice. In order to confirm the educational effect according to the differences in the geriatric dental hygiene curriculum, the differences in students' achievement of major competencies, awareness of the geriatric dental hygiene process, class satisfaction, and ageism were analyzed. Results: Regarding major competency attainment, 'communication competency' was significantly higher in PBL education that combined theory and practice than that theory-oriented PBL education (p=0.038). For ageism, the tendency to avoid older adults was low in PBL education, which combined theory and practice, and was statistically significant (p=0.040). For class satisfaction, the rate of responding 'very high' for the 'class atmosphere' was significantly high (p=0.025) for PBL education that combined theory and practice. Conclusion: The PBL teaching method can be useful as a geriatric dental hygiene curriculum. However, it would be more effective to create a curriculum so that education in geriatric dental hygiene care practice can be combined with theory rather than a theoretical education alone.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.25-34
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• 2019

The purpose of this study is to develop a mobile app for mental health self care of university student. User centered design is a research design that applies the subject's needs assessment, analysis, design, development, evaluation, modification and supplement to suit the subjects. In order to manage the mental health of university students, they consisted of four main areas of mental health problems: drinking, sleeping, depression, and stress. It is designed to enable self test content, analysis and notification of inspection results, and management plan for current status of each area. Based on this, I developed an Android based mental health self-care Application. The subject can enter his or her mental health status data to explain the normal or risk level for each result, and the subject can then select the appropriate intervention method that he or she can perform. In addition, we developed a mental health self care calendar that can display the present status of each of the four areas on a day by day basis, and the current status can be expressed in an integrated manner through animations and status bars. The purpose of this study was to develop a mental health self-care app that can be improved by continuous and improved programs.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.107-115
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• 2022

The study attempted to identify the factors affecting the image of nurses in health and non-health university students after COVID-19. The study was collected from November 15, 2021 to 2011 and 28th, 2021, from 133 health-related and 123 non-health-related students in four universities. This data was analyzed by descriptive statistics, correlation, and multiple regression analysis using the SPSS 22.0 program. As a result of the study, whether the nurse image according to general characteristics is in the first grade of health-related college students(t=2.82, p=.006) showed a statistically significant difference. The nurse image of college students showed a positive correlation with the mass media image and major satisfaction in both health and non-health fields. For health-related college students, the image of mass media, major satisfaction, and first grade influence the image of nurses (F=40.42, p<.001)In the case of university students in non-health departments, it was found that only the media image affects the nurse image. (F=20.13, p<.001). In order to improve the image of nurses, it is necessary to have continuous interest in contact with the media through new media and to approach it systematically.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.87-96
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• 2022

The Ministry of Land, Infrastructure and Transport has also been promoting the commercialization of land transport technology to commercialize the technologies owned by small and medium-sized venture companies, and to support the transfer and commercialization of public technologies. At this point, in order to improve the investment effect of subsequent new projects and to select excellent research institutes, it is necessary to establish a valid evaluation index system suitable for the purpose of the project. The evaluation index system for subsequent new projects should be linked to the project objectives and goals of the preceding project, and should be selected in consideration of existing evaluation indicators to prevent interruption of research results. Therefore, this thesis sets the evaluation index system into multiple scenarios through hierarchical cluster analysis using the evaluation result data for each evaluation committee for small and medium venture companies participating in the land transportation technology commercialization support project, and then analyzes the structural equation model. As a result of scenario analysis, considering the measurement effect of each path representing the causal relationship between evaluation indicators and the effect of each evaluation index on evaluation items, the scenario with the highest impact on the evaluation result was selected as an improvement plan.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.135-143
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• 2022

This paper aims to grasp what propensity users have in their ideology from the comments in the Web Portal News and the Press Website News. Through these analytical results, the political propensities of not only the Web Portal News and the Press Website News but also the voters who use these news media could be grasped. The collection of data necessary for this study has been made from the comments of 174 news stories for about 90 days before the election day. For the analysis, T-test has been used in order to compare Naver News with Daum News, the Minjoo Party of Korea with the People Power Party, and the Press Web Site News with Naver News. As a result of the analysis, the comments of Naver News took the higher percentage in the positive writings about the candidates of the conservative party. but, in contrast, those of Daum News in that percentage were higher about the ones of the progressive party. Accordingly, it can be found that Naver News is mainly used by users with the politically conservative propensity, while Daum News is mostly used by those with progressive one.