• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.413-418
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• 2020

It is necessary to manage the prediction accuracy of the machine learning model to prevent the decrease in the performance of the grid network condition prediction model due to overfitting of the initial training data and to continuously utilize the prediction model in the field by maintaining the prediction accuracy. In this paper, we propose an automation technique for maintaining the performance of the model, which increases the accuracy and reliability of the prediction model by considering the characteristics of the power grid state data that constantly changes due to various factors, and enables quality maintenance at a level applicable to the field. The proposed technique modeled a series of tasks for maintaining the performance of the power grid condition prediction model through the application of the workflow management technology in the form of a workflow, and then automated it to make the work more efficient. In addition, the reliability of the performance result is secured by evaluating the performance of the prediction model taking into account both the degree of change in the statistical characteristics of the data and the level of generalization of the prediction, which has not been attempted in the existing technology. Through this, the accuracy of the prediction model is maintained at a certain level, and further new development of predictive models with excellent performance is possible. As a result, the proposed technique not only solves the problem of performance degradation of the predictive model, but also improves the field utilization of the condition prediction model in a complex power grid system.

• Journal of Korea Water Resources Association
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• v.54 no.12
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• pp.1255-1263
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• 2021

While it could become an alternative water resource, fog could undermine traffic safety and operational performance of infrastructures. To reduce such adverse impacts, it is necessary to have spatially continuous fog risk information. In this work, tree-based machine-learning models were developed in order to quantify fog risks with routine meteorological observations alone. The Extreme Gradient Boosting (XGB), Light Gradient Boosting (LGB), and Random Forests (RF) were chosen for the regional fog models using operational weather and visibility observations within the Jeollabuk-do province. Results showed that RF seemed to show the most robust performance to categorize between fog and non-fog situations during the training and evaluation period of 2017-2019. While the LGB performed better than in predicting fog occurrences than the others, its false alarm ratio was the highest (0.695) among the three models. The predictability of the three models considerably declined when applying them for an independent period of 2020, potentially due to the distinctively enhanced air quality in the year under the global lockdown. Nonetheless, even in 2020, the three models were all able to produce fog risk information consistent with the spatial variation of observed fog occurrences. This work suggests that the tree-based machine learning models could be used as tools to find locations with relatively high fog risks.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.77-89
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• 2018

Objective : The purpose of this study was to analyze occupational therapy intervention on the community mobility for stroke patients, and to provide evidence of intervention in the clinical fields. Methods : A systematic review was executed according to the PRISMA checklist. The accessed database was PubMed, EMBASE, Cochrane Library (CENTRAL), ProQuest Dissertations & thesis (PQDT), RISS, and KoreaMed. We included the articles published from 2005 to September 2018. RoBANS checklist was used to evaluate the quality of the articles. Included articles, totally eight, were categorized according to the type of intervention. Results : The study design of the literature was varied from two-group randomized trial, quasi-experimental study, case-control trial, one group pre-post comparison study, and cross-sectional study. In the evidence level, 6 articles were included in level II (75%). The percentage of low risk of bias in each article ranged from 52.5%~87.5%. Four studies (50%) provided intervention based on virtual reality or virtual environment. The three (37.5%) provided intervention based on the protocol, and the other (12.5%) did wheelchair training. All studies reported significant effects of the intervention. Conclusion : This systematic review provided evidences to use proper intervention in the clinical fields. Various type of studies should be conducted to prove the effect of occupational therapy intervention for community mobility.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.96-102
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• 2019

This study proposes basic information to make effective environments for social welfare education, revealing the reasons why students choose the social welfare major at Konyang Cyber University. We conducted qualitative research with 41 students in the social welfare department at Konyang Cyber University. The result of this research is as follows. First, most students chose their major to get a certificate that can benefit them in the near future. Second, they chose their major as a way to achieve renown, and to enhance the quality of their lives. Third, they desired to contribute to society through their social work. Finally, individual experiences and family background were also motives. Based on the research, to improve learning outcomes in social welfare education, the necessary learning strategies are as follows. First, goal-oriented learning is necessary for students who want to get the certificate. A practical curriculum needs to contain both practical skills and professional knowledge applicable to the social work field. Second, education for students who choose the major to gain fame, and to develop their lives, requires generation-integrated education to help them review their lives and find their own meaning in life. Third, education for students who choose the major for a practical social contribution has to contain volunteer training that can lead them to be professional volunteers in society. Fourth, education for students who choose the major based on their personal experiences and their family background needs to deal with case management, which discovers the recipients who need help in society and the students who can achieve visible outcomes after all.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.381-387
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• 2019

Since the development of NCS-based curriculum in field of game education is not well studied, so we carried out research on the curriculum development of game contents department of Kimpo University as the first study to link game education and NCS. In order to develop the NCS-based game education course, we analyzed the game industry environment and conducted a demand survey on the game industry officials to derive the vocational basic subjects required for game contents creation. In addition, we analyzed the types of manpower training by using on-site experts (SME). SME also designed the NCS curriculum by matching the manpower type comparing with NCS classification and capacity unit, analyzing the usefulness of each Capacity unit, and finally, by arranging each NCS and non-NCS subjects by semester. This research is meaningful as the first study linking NCS and game content creation, and it will be a reference for other education institutions planning game education course based on NCS. It also can be used as a basic material for researching game education quality management (CQI) as well as improvement methods for future game education courses.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.3
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• pp.71-80
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• 2019

The Fourth Industrial Revolution, centered on intelligence and information, began to take hold in 2016. This study uses virtual reality technology, which is the most popular technology of the Fourth Industrial Revolution. The purpose of this study is to explore a Virtual Walk-through method, which can be easily applied to landscape architecture. At present, virtual reality technology is widely used in the fields of games, emergency training, and architectural design. However, in the field of landscape architecture, it is still in the development stage. In addition, most of the traditional ways to display virtual reality use 2D images, but such methods have some limitations. Therefore, this research addresses the three stages of "design-exhibition-experience" and puts forward a new simple method called 'Virtual Walk-through' that breaks from traditional landscape design exhibitions. The results show that compared with traditional methods, virtual reality has many advantages, such as the freedom of experience, a diversity of viewing angles, information supply, interaction, etc. It can show high quality images and effects, which are suitable for landscape design. It provides an evaluation method for garden design that can be utilized in the future. It is simple and has value as it can reflect the method and the expected effects. Virtual reality technology can bring an infinite number of prospects to the development of landscape architecture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.275-284
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• 2019

This study was conducted to evaluate the health promotion behavior level, health beliefs, and self-efficacy of individuals preparing for civil service examinations, as well as the main factors that influence their health promotion behavior. The study subjects were 290 individuals who were preparing for civil service examinations in Noryangjin, where there are a lot of private institutions that provide training for the examinations. Data were collected by questionnaire surveys conducted from December 1 to 19, 2017. With the use of SPSS ver. 23, descriptive statistics, t-tests, one-way ANOVA, correlation analysis, and stepwise multiple regression were conducted. On average, the score for health promotion behavior practice was $2.37{\pm}0.45points$, health beliefs $3.13{\pm}0.45points$, and self-efficacy $3.55{\pm}0.74points$. Health promotion behavior was significantly positively correlated with perceived severity and perceived benefits, which are sub factors of health beliefs (r=.60, p<.001; r=.55, p<.001), while it was significantly negatively correlated with perceived barriers, which are a sub factor of health beliefs (r=.32, p<.001). The factors that influenced health promotion behavior were perceived health condition and perceived barriers, and the explanatory power of health promotion behavior was 25.1% (F=13.58, p<.001). In general, respondents studied for the examinations for a long time and were under severe job pressure; accordingly, they need to have quality meals, regular exercise, and regular medical check-ups to enhance health promotion behavior to control their stress.

• Journal of the Korean School Mathematics Society
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• v.21 no.4
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• pp.419-443
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• 2018

The purpose of this study was to analyze the problem solving strategies of ordinary students, gifted students, pre-service teachers, and in-service teachers with the 'chicken and pig problem,' which has multiple strategies to obtain the solution. For this study, 98 students in the 6th grade elementary schools, 96 gifted students in a gifted institution, 72 pre-service teachers, and 60 in-service teachers were selected. The researcher presented the "chicken and pig" problem and requested them the solution strategies as many as possible for 30 minutes in a free atmosphere. As a result of the study, the gifted students used relatively various and efficient strategies compared to the ordinary students, and there was a difference in the most used strategies among the groups. In addition, the percentage of respondents who suggested four or more strategies was 1% for the ordinary students, 54% for the gifted students, 42% for the pre-service teachers, and 43% for the in-service teachers. As suggestions, the researcher asserted that various kinds of high-quality mathematical problems and solving experiences should be provided to students and teachers and have students develop multi-strategy problems. As a follow-up study, the researcher suggested that multi-strategy mathematical problems should be applied to classroom teaching in a collaborative learning environment and reflected them in teacher training program.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.2
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• pp.281-290
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• 2019

The aim of this study is to explore the status and tasks of selecting, expanding, and supporting the gifted teachers to efficiently manage the gifted education. This study addresses that the ratio of applications for new teachers is lower and the current teachers are aging in primary school. In addition, it points out that the ratio of new teacher applications and teacher acquisitions compared to the number of teachers hired for middle school were lower. The gifted teachers are basic in their classes and work at regular schools, and they suffer from considerable exhaustion and a lack of time because of other gifted work. As a result of these discussions, it has shown the need for substantial improvement and supplementation such as school hours reduction or reinforcement adjustment, complete support for research society, invitation professional teachers other than current ones, and friday after school classes for the gifted teachers should be encouraged to work passionately. For professional development, if the positive perception and results of gifted education from the interactions between general education and gifted education be formed, and the education programs for gifted teachers be expanded, they will also contribute to the overall improvement in the quality of our education.

• Industry Promotion Research
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• v.6 no.3
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• pp.59-70
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• 2021

The purpose of this study is to analyze the impact of childcare teachers' professionalism on job performance, enhance the effectiveness of childcare teachers, and provide basic data to help them satisfy their duties. Statistical processing of the collected data has been studied through the SSPPWIN 21.0 program, level of expertise, understanding, skills, and attitude recognized by child care teachers, the higher the level of professionalism, the higher the age, educational background, and experience, the higher the level of expertise. In addition, various policy and institutional support at the level of childcare-related administrative agencies or local governments is needed to develop operational measures suitable for each type of daycare center and improve the quality of childcare services. Programs for the promotion of professionalism and job performance of childcare teachers should be developed and regular education, training and workshops should be provided to support application to childcare sites. This study is meant to improve the level of professionalism of daycare centers to achieve desirable professionalism and efficient organizational goals of daycare centers, and to improve the job performance of daycare centers and provide basic data to help them satisfy their jobs.