• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.485-491
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• 2021

This study examined the effects of preschool teachers' social support and mindfulness on job exhaustion. The study subjects were 138 preschool teachers in OO city. As an analysis method, frequency analysis, reliability analysis, and correlation analysis were performed using the SPSS 22.0 program, and multiple regression analysis was performed on the causal relationship between the variables. An examination of the effect of social support on preschool teachers on job exhaustion found that the material support factor, a sub-factor of social support, had a negative effect (-) on job exhaustion. Second, the sub-factors of mindfulness, decentered attention, and present awareness had a significant negative effect on job exhaustion. A higher the current awareness, the decentered attention of mindfulness, and the material support factor of social support perceived by preschool teachers indicated lower job exhaustion. These results provide the basic data for the preparation of measures for reducing job exhaustion of preschool teachers.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.6
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• pp.75-85
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• 2020

The purpose of this study was to investigate the citizens' perception of urban ecosystem and urban ecosystem education to find out how to plan and create an effective urban ecosystem and how to utilize urban ecosystem education and educational media according to age groups. To this end, an online survey of 416 Suwon citizens was conducted, and based on the responses of the respondents, cross-analysis, multiple-response analysis, and correlation analysis were conducted using the IBM SPSS Statistics Statistical Program. The study found that fewer respondents showed a high understanding of urban ecosystem concepts compared to those who recognized the importance of environmental issues. Nevertheless, most of the respondents were aware of the importance of preserving and protecting the urban ecosystem and responded positively to the inconvenience. In addition, most of the respondents were aware of the need for urban ecosystem education and were found to have different preferred information media depending on age. It has been confirmed that the establishment of facilities such as ecological learning centers and seasonal environmental schools is the top priority among all age groups. Citizens are also aware of the importance of preserving and protecting the urban ecosystem and the need for education, but it is deemed necessary to supplement it because effective urban ecosystem conservation and protection plans and systematic education are not provided that citizens can sympathize with. In addition, it is deemed that various measures should be presented in selecting responsible organizations and educational media that host the education for effective education and promotion of urban ecosystem education according to conduct urban ecosystem education.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.410-418
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• 2021

In a program that runs an engineering education certification, program outcomes refer to the knowledge, skills, and attitudes a student must have until graduation. In general, capstone design is used as a tool for evaluating program outcomes. This paper applies the intraclass correlation coefficient (ICC) to measure the raters' reliability in assessing program outcomes. Several raters evaluate program outcomes, and the result is used to obtain the raters' ICC. ICC measures the reliability of ratings or measurements for clusters - data that has been collected as groups or sorted into groups. If the ICC is close to 1, it means that the reliability among the raters is high. We evaluated the proposed method's usefulness through case analysis. As a method for assessing an evaluation tool's objectivity, multiple raters measure the same evaluation tool. As a result, we measured the ICC values for all POs, and analyzed the cause for the low measured POs. We applied this method to evaluate program outcomes of the Department of Computer Engineering in the past two years. As a result, we derived guidelines for improvement and program outcomes.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.580-592
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• 2021

This study was conducted on mothers with infants to identify the relevant factors affecting parenting stress and depression, and to verify the effectiveness of the beauty therapy program on parenting stress and depression. After conducting a self-administered survey of 450 mothers with infants under 36 months old in Busan city from May 1 to 20 May, 2018 through convenient sampling method, the final analysis of 402 women. In addition, experimental research through one group pretest-posttest design was also conducted on 17 people to verify the effectiveness of the beauty therapy program on parenting stress and depression. The multiple regression analysis showed that the higher appearance-management behavior, the less parenting stress and depression. Also, parenting stress and depression after participating in beauty therapy programs are significantly reduced compared to those before participating in beauty programs. This study could confirm that beauty therapy program is one of the effective measures to improve women's mental health and self-esteem.

• Journal of the Korean Society of School Health
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• v.34 no.2
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• pp.115-122
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• 2021

Purpose: The purpose of this descriptive research is to identify how stress from Covid-19, health beliefs, and social support of college students affect health prevention. Methods: The subjects of the study were 128 university students, excluding health major students, at one university in D City. The survey was conducted from August 1 to 31, 2020. The survey questionnaire consists of 8 items on stress from COVID-19, 12 items adapted from a health belief measurement tool, 12 items from a social support measurement tool, and 11 items adapted from a tool that measures health preventive behaviors. The collected data were analyzed using the hierarchical multiple regression analysis method with SPSS 26.0. Results: In model 1, stress from COVID-19 was statistically significant (β=-.403, p=.003). Model 2 added four health belief factors into Model 1. Stress (β=-.419, p<.001), perceived severity (β=-.193, p=.030), and perceived barriers (β=-.182, p=.009) were statistically significant. In model 3, stress (β=-.413, p<.001), perceived barriers (β=-.147, p=.034), and social support (β=.194, p=.011) were statistically significant. The regression equation was significant (F=15.395, p=<.001) and the model's explanatory power was 53.1%. Conclusion: The results show that when college students had a high degree of health beliefs about COVID-19, the degree of health preventive behaviors was proportionally high. To make them practice preventive health behaviors, it is necessary to develop infection control education programs to improve health beliefs.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.3
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• pp.83-90
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• 2022

Diabetes is a common disease today, and there are also many cases of developing into serious complications called Diabetic Foot Ulcers(DFU). Diagnosis and prevention of DFU in advance is an important task, and this paper proposes the method. Based on existing studies introduced in the paper, it can be seen that foot pressure and temperature information are deeply correlated with DFU. Introduce the process and architecture of SmarTinsole, an IoT device that measures these indicators. Also, the paper describes the preprocessing process for AI-based diagnosis of DFU. Through the comparison of the measured pressure graph and the actual human step distribution, it presents the results that multiple information collected in real-time from SmarTinsole are more efficient and reliable than the previous study.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.1-12
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• 2022

In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

• Korean Journal of Occupational Health Nursing
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• v.31 no.1
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• pp.11-21
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• 2022

Purpose: This study aimed to identify the relationship among musculoskeletal problems, sleep problems, and self-rated mental health of home-care workers. Methods: Data were collected from 447 home-care workers spanning three occupation types: life supporters for the elderly, home-visit caregivers, and life supporters for the disabled. Musculoskeletal problems, sleep problems, and self-rated mental health were assessed using structured questionnaires. Factors affecting self-rated mental health were analyzed using multiple regression. SPSS was used to test the mediating effects of sleep problems on musculoskeletal problems and self-rated mental health. Results: Among the general characteristics, the variables that showed significant differences in musculoskeletal problems were monthly income level, caring-related career duration, weekly working hours, and occupation type; and the variable that showed significant differences in self-rated mental health was occupation type. Among the occupation types, supporters for the disabled had the most musculoskeletal problems and the lowest self-rated mental health. Musculoskeletal problems among home-care workers had a direct negative effect on self-rated mental health and indirect negative effects on sleep problems. Conclusion: Measures are needed to reduce the differences in working conditions and health status among the occupation types of home-care workers. Considering the relevance between the health issues of home-care workers, the development of a carefully designed health promotion strategy is required.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1737-1741
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• 2022

Active fire monitoring using high-resolution drone images and deep learning technologies is now an initial stage and requires various approaches for research and development. This letter examined the detection of active fire objects using You Look Only Once Version 7 (YOLOv7), a state-of-the-art (SOTA) model that has rarely been used in fire detection with drone images. Our experiments showed a better performance than the previous works in terms of multiple quantitative measures. The proposed method can be applied to continuous monitoring of wide areas, with an integration of additional development of new technologies.

• Iberoamérica
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• v.23 no.2
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• pp.273-307
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• 2021

The covid 19 pandemic led to an economic collapse and multiple impacts upon Argentina's labour dynamics. As well as in other parts of the region, falls in employment rates (both due to an increase in unemployment and significant withdrawals from the labour force) were combined with wage reductions for those who were able to keep their jobs. Thus, two important processes for the labour market complimented each other: a structural shock associated with a tasks automation as a reorganisation and substitution of factors, with a cyclical recession caused by the pandemic. The international experience shows the amplifying impact the latter has on the former, generating long-term consequences mainly in routine-intensive jobs. However, the knowledge-intensive services sector appears to be the most capable of cushioning the recessionary shock (both in terms of wages and labour absorption), even with nuances within the sector depending on the extent of the shutdown measures and its capability to switch to remote work. Finally, the task approach is decisive in capturing the ability to adapt both the cyclical and structural processes, absorbing a large part of the explanatory potential that sectoral classifications tend to bring about.