• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.195-206
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• 2019

The purpose of this study is to analyze the importance and performance of core competencies recognized by Korean sports students and to identify directions and methods for strengthening the competence of sports students in the future direction of future society. The results of analysis of 309 students of sports major students are as follows. First, the importance of core competencies recognized by college students in sports was in the order of self - management capacity, interpersonal capacity, communication capacity, comprehensive thinking ability, resource information technology utilization capability, and global capability. Second, the students' performance of their core competencies evaluated by sports college students was in the order of interpersonal competence, self-management competence, communication competence, comprehensive thinking ability, global competency, and resource information technology utilization competency. Third, the difference between the importance of core competence and the degree of performance was found to be significant in all areas, and the areas of great difference were total thinking, communication ability, resource information technology utilization capacity, self-management capability, Relationship competence. While college students in sports college have relatively high level of interpersonal competence, self-management competence and communication ability, comprehensive thinking ability, resource information technology utilization capacity and global competency are weak. Therefore, It will be able to be reborn as the talent required by society. Therefore, universities need to cultivate competitive sports talent through innovation of curriculum and capacity of faculty, and it should be recognized that this can be linked to the competitiveness of universities.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.47-57
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• 2019

The end of the 20th century, along with the popularity of new media technology and the rise of new media art, dance as a visual art, and body language art, has the features of more and more rich and changeful. In today's Internet booming new media environment, many different fields, such as film and theater, computer technology, digital art, etc.) with its commonness and characteristics of all kinds of interaction between the creation, produced a new interdisciplinary research with theoretical model. When cross-border interactions between various areas become a hot topic at the same time, the traditional form of dance performances are also seeking new breakthrough. Canada's famous social psychologist McLuhan believes that modern is retrieving lost over a long period of time "overall" feel, return to a feeling of equilibrium. The audience how to have the characteristics of focus on details of visual art back to the "overall" feel worthy of study. At the same time, the new media in today's digital dance teaching in colleges and universities dancing education remains to be perfect and popular, if continue to use the precept of the traditional teaching way blindly, so it is difficult to get from the development of the current domestic dance overall demand. In this paper, the main body is divided into two parts, the first chapter is the study of image device dance performance art, the second chapter is the research of digital dance teaching application system, thus further perspective of media technology to explore dance art crossover practice under the new media environment and mode of transmission.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.169-176
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• 2019

The purpose of this study was to investigate attitudes toward aging and depression among elderly welfare facility users. For this purpose, a questionnaire-based survey was conducted with 280 elderly participants in the facilities of 15 institutions in Gyeonggi-do. In total, 258 data points were used for analysis. The measuring instruments used an attitude scale and depression scale for aging. The results of this study are as follows. First, there was no difference in attitude toward aging and depression among elderly welfare institution users by gender. Second, attitudes toward aging among elderly welfare facility users were also assessed according to final educational background. Positive attitudes in general (lack of depression) and positive attitudes toward aging were found to be higher with a higher rate of final academic completion. Third, attitudes toward aging were assessed according to experience with welfare facilities among the elderly, and it was found that depression has a significant impact on perceptions of physical change caused by aging. As a result, even when attitudes toward aging are generally negative, an elderly person cannot be judged to be depressed because this is highly related to final academic completion. Therapists working in welfare facilities for the elderly are more likely to have negative attitudes toward aging and depression when the number of facilities used is lower.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.865-885
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• 2022

Korean government updated her Nationally Determined Contribution (NDC) in 2021 and announced the target and various measures for reductions. Among the many issues, final energy demand and renewable energy power mix for 17 provinces to achieve the target are being analyzed using GCAM-Korea. Simulation results show that final energy demand of 2030 is approximated at the similar level to that of 2018. This is being enabled by the conservation of coal with higher electrification especially in industry sector. Higher power demand with lower coal consumption in final energy consumption is shown to be provided by 33.1% of renewable, 24.6% of gas, and 18.0% of nuclear power generation in 2030. Meanwhile, the share of coal-fired power generation is expected to be reduced to 12.8%. Major future power provider becomes Gyeongbuk (Nuclear), Gyeonggi (Gas), Jeonnam (Nuclear, Gas) and Gangwon (PV, Wind), compared to one of current major power provider Chungnam (Coal). This analysis is expected to provide a useful insight toward the national and provincial energy and climate change policy.

• Journal of Internet of Things and Convergence
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• v.9 no.2
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• pp.61-69
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• 2023

In recent years, due to heightened environmental awareness, Electric Power Steering (EPS) has been increasingly adopted as the steering control unit in manufactured vehicles. This has had numerous benefits, such as improved steering power, elimination of hydraulic hose leaks and reduced fuel consumption. However, for EPS systems to respond to actions, sensors must be employed; this means that the consistency of the sensor's linear variation is integral to the stability of the steering response. To ensure quality control, a reliable method for detecting defects and assessing linearity is required to assess the sensitivity of the EPS sensor to changes in the internal design characters. This paper proposes a data-driven defect and linearity assessment monitoring system, which can be used to analyze EPS component defects and linearity based on vehicle speed interval division. The approach is validated experimentally using data collected from an EPS test jig and is further enhanced by the inclusion of a Graphical User Interface (GUI). Based on the design, the developed system effectively performs defect detection with an accuracy of 0.99 percent and obtains a linearity assessment score at varying vehicle speeds.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.26 no.1
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• pp.90-95
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• 1981

This study was conducted to ascertain the seed quality of sesame (Sesamum indicum L.) under different environmental conditions. The results were summarized as follows; 1. The sesame seeds harvested in the central noethern area of Korea showed higher linoleic acid content than did those in the southern area. 2. The linoleic acid content was highly negatively correlated with the accumulated temperature during maturity (r=-.595) and the correlation coefficient between Linoleic acid content and the accumulated solar radiation during maturity was highly significant (r=.613). Thus, the relative low temperature and high solar radiation during the maturity would be importnat factors for the increase in the linoleic acid content of sesame seeds. 3. The oleic acid content was higher in the southern area than in the central northern area. 4. The oleic acid content was highly correlated with the accumulated temperature (r=.644) and the accumulated solar radiation (r=-.456), respectively. 5. The linoleic and oleic acid are important components of sesame seeds, and these show a relative relationship to determine the oil content of the seeds. 6. The oil quality in the central northern area was superior to that in the southern area.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.23-48
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• 2022

The purpose of this study is to investigate the flow of domestic information literacy education research using keyword network analysis and topic modeling and to explore the direction of information literacy education in the future. For this reason, 306 academic papers related to information literacy education published in academic journals of the library and information science field in Korea were chosen. And through the preprocessing process for abstracts of the paper, total keyword appearance frequency, keyword appearance frequency by period, and keyword simultaneous occurrence frequency were analyzed. Subsequently, keyword network analysis analyzed the degree centrality, between centrality, and eigenvector centrality of keywords. Using structural topic modeling analysis, 15 topics -curriculum, information literacy effect, contents of information literacy education, school library education, information media literacy, information literacy ability evaluation index, library anxiety, public library program, health information literacy ability, digital divide, library assisted instruction improvement, research trend, information literacy model, and teacher role-were derived. In addition, the trend of topics by year was analyzed to confirm the change in relative weight by topic. Based on these results, the direction of information literacy education and the suggestions for follow-up research were presented.

• Journal of IKEEE
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• v.27 no.1
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• pp.103-108
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• 2023

This research was carried out experiments with changing processes and design parameters to optimally design a SiC-based 1200V power MOSFET, and then, essential electrical characteristics were derived. In order to secure the excellence of the trench gate type SiC power MOSFET device to be designed, electrical characteristics were derived by designing it under conditions such as planner gate SiC power MOSFET, and it was compared with the trench gate type SiC power MOSFET device. As a result of the comparative analysis, the on-resistance while maintaining the yield voltage was 1,840mΩ, for planner gate power MOSFET and to 40mΩ for trench gate power MOSFET, respectively, indicating characteristics more than 40 times better. It was judged that excellent results were derived because the temperature resistance directly affects energy efficiency. It is predicted that the devices optimized through this experiment can sufficiently replace the IGBT devices generally used in 1200V class, and that since the SiC devices are wide band gap devices, they will be widely used to apply semiconductors for vehicles using devices with excellent thermal characteristics.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.133-140
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• 2023

The performance of lithium ion batteries depends on the usage environment and the combination ratio of cathode materials. In order to develop a high-performance lithium-ion battery, it is necessary to manufacture the battery and measure its performance while varying the cathode material ratio. However, it takes a lot of time and money to directly develop batteries and measure their performance for all combinations of variables. Therefore, research to predict the performance of a battery using an artificial intelligence model has been actively conducted. However, since measurement experiments were conducted with the same battery in the existing published battery data, the cathode material combination ratio was fixed and was not included as a data attribute. In this paper, we define a training data model required to develop an artificial intelligence model that can predict battery performance according to the combination ratio of cathode materials. We analyzed the factors that can affect the performance of lithium-ion batteries and defined the mass of each cathode material and battery usage environment (cycle, current, temperature, time) as input data and the battery power and capacity as target data. In the battery data in different experimental environments, each battery data maintained a unique pattern, and the battery classification model showed that each battery was classified with an error of about 2%.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.341-352
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• 2022

The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.