• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.93-98
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• 2022

With the development of new digital technologies, research on various learning tools is being actively conducted. These learning tools are also being developed so that they can be applied to various environments by applying the technology of artificial intelligence or using smart functions to which big data technology is applied. These smart learning tools are contributing a lot to increasing educational effectiveness and learning efficiency. Recently, various learning tools have been applied in universities, and solutions for smart learning from smart attendance are introduced to improve student learning efficiency. This study intends to propose a design for a smart learning tool that can increase the efficiency of project progress and increase the scalability of the results when conducting a company's customized project through such a university's smart learning tool. The proposed smart learning tool is expected to have the advantage of being able to easily adapt to the practical business project as the company-customized projects that can improve practical skills are smoothly used as a learning tool. The proposed project-based smart learning tool model is later built as a related LMS and applied to actual project progress to check its utility, and to revise and supplement the proposed smart learning tool model to provide a project-based smart learning function want to strengthen.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.63-70
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• 2022

This study is a study that collects and analyzes data through An autoethnographyon as one of method of qualitative research, through which researcher have experienced firsthand in the process of developmenting and counseling there a new concept professional mental health mobile service platform as a mental health social welfare expert. The results of this study are as follows.First, there are people in Korea who are directly exposed to mental health issues and need to receive professional medical services, but there are also quite a few members of the public who have a desire for general mental health services, although the level of therapeutic intervention is not required. Second, considering the characteristics of modern society and especially in the pandemic situation of infectious diseases such as COVID-19, more and more people are preferring various mental health service platforms using mobile devices. Third, all generations complain of mental health issues such as family problems, stress, interpersonal relationships, and occupations, and other mental health problems such as self-harm and suicide accidents are frequently mentioned in connection with mental disorders such as depression, anxiety disorder, addiction, and post-traumatic stress disorder. Fourth, youngth s were exposed to various mental health-related issues, and above all, they were complaining of serious mental health problems such as self-harm and suicide accidents. Fifth, in delivering professional mental health services, mental health experts with the ability also to provide professional services online through mobile devices are needed as well offline. Finally, based on the results of this study, policy and practical suggestions related to the provision of mental health services in the future, and directions for follow-up studies were suggested.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.47-55
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• 2021

Firstly, our Technical and Vocational Education and Training(TVET) ODA currently uses 70% of its budget on short-term assistance project works without much consideration for continuity from one project to another. Secondly, TVET ODA budget is much too concentrated on hardware support, lowering impact compared to the amount invested. Lastly, there is a lack of research on the needs of recipient nation which leads to lowering effectiveness of TVET ODA. This Study analyzed the characteristics of Korea's TVET ODA through the statistical data analysis of ODA. This study's main focus is to recommend methods for Korean colleges to overcome tendencies and limitations of TVET within Korea's ODA. Colleges have advantages in training students to fit needs of the market and companies based on decades of experience colleges have on academic-industrial collaboration. Colleges can also transfer qualification verification systems to fit the recipient country and dispatch TVET related personnel to strengthen software support. Additionally, the post project evaluation and post job placement management capabilities of colleges can be actively used for post management of TVET projects. I hope that through this study, ways to increase participation of colleges in TVET ODA can be discussed in more variety.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.281-289
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• 2021

The purpose of this study was to investigate the level of knowledge, preventive health behavior of the COVID-19 among nursing students. Data were collected from 190 nursing female students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient using SPSS/WIN 22.0. The degree of knowledge about COVID-19 in nursing female students was 9.18±1.95. The degree of preventive health behaviors on COVID-19 in nursing female students was 3.62±0.30. There were significant differences in knowledge about COVID-19 with respect to age(F=5.981, p=.001), grade(r=6.376, p<.001), college life satisfaction(F=3.632, p=.007). There were significant differences in preventive health behavior of the COVID-19 with respect to age(F=4.018, p=.008), grade(F=2.719, p=.046), health state(F=3.845, p=.005) college life satisfaction(F=3.875, p=.005), clinical experience satisfaction/expectation(F=4.337, p=.002), necessity COVID 19(t=2.801, p=.006). Through this research can be used as basic data by COVID 19 infection control education of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.317-324
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• 2021

The purpose of this study was to conduct pan play counseling that contains Korean cultural characteristics to see if it affects college students' anxiety reduction in coronavirus situations. Counseling was conducted for 40 minutes once a week. The associations of participants were recorded for each session. The score of anxiety test decreased in the participants' pre-and post-anxiety tests. The effectiveness of pan play counseling was verified. Case analysis applied phenomenological research method. Structural decisions through case analysis were in the order of regression, expression, differentiation, and integration. In the results of case analysis, participants feel confused through encounters in the early stages and regress unconsciously. Emotions of negativity that could not be erupted in the expression structure appear as consciousness, and the participants awaken. Participants expressed emotions such as fear, anxiety, loneliness, anger, and irritation. Consciousness of the unconscious causes a transformation of ego. The ego gains discernment as the great drama emerges from the differentiated structure. In other words, it builds confidence. The goal of counseling is to reinforce the ego, realizing the potential to overcome anxiety. In the last integration's structure, a wedding, a baby, and a old wise man appeared, showing that a transformation took place. In the results of this study, it was verified that pan play counseling has a healing effect. This study is expected to serve as an opportunity to develop Korean counseling techniques that incorporate Korean culture.

• Journal of Science Education
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• v.45 no.1
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• pp.23-41
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• 2021

This study is to investigate the characteristics of problem-finding and problem-solving abilities demonstrated by the secondary gifted students in the context of STEAM convergent problems. For this, using the STEAM convergence problem solving ability test, we qualitatively and quantitatively compared and analyzed the workbook outputs written in the process of finding and solving problems for each student in the gifted class. The results are as follows: First, we found that the speciality of the major of the proposed activity paper influenced the preference for questions and pattern of finding problems. Second, it was found that the difference in the ability to find and solve problems for a specific task was not by the major of the gifted class, but by the composition of the group. Third, in finding and solving the STEAM convergent problem, the individual creativity and the cooperative creativity of the group were more significant than the major. These results suggest that it is necessary to include the affective factors of gifted students and the concept of cooperation in problem-finding and problem-solving ability evaluation, and there is a need to develop a teaching and learning strategy that can improve cooperative problem-solving skills so that group creativity can be exhibited well.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.319-325
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• 2021

With the advancement of wireless technology and the rapid growth of the infrastructure of mobile communication technology, systems applying AI-based platforms are drawing attention from users. In particular, the system that understands users' tastes and interests and recommends preferred items is applied to advanced e-commerce customized services and smart homes. However, there is a problem that these recommendation systems are difficult to reflect in real time the preferences of various users for tastes and interests. In this research, we propose a Fuzzy-AHP-based movies recommendation system using the Gated Recurrent Unit (GRU) language model to address a problem. In this system, we apply Fuzzy-AHP to reflect users' tastes or interests in real time. We also apply GRU language model-based models to analyze the public interest and the content of the film to recommend movies similar to the user's preferred factors. To validate the performance of this recommendation system, we measured the suitability of the learning model using scraping data used in the learning module, and measured the rate of learning performance by comparing the Long Short-Term Memory (LSTM) language model with the learning time per epoch. The results show that the average cross-validation index of the learning model in this work is suitable at 94.8% and that the learning performance rate outperforms the LSTM language model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.537-542
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• 2021

This paper improves the possibility of recognizing fast-moving objects through the YOLO (You Only Look Once) deep learning recognition model in an application environment for object recognition in images. The purpose was to study the method of collecting semantic data through processing. In the recognition model, the moving object recognition error was identified as unrecognized because of the difference between the frame rate of the camera and the moving speed of the object and a misrecognition due to the existence of a similar object in an environment adjacent to the object. To minimize the recognition errors by compensating for errors, such as unrecognized and misrecognized objects through the proposed data collection method, and applying vision processing technology for the causes of errors that may occur in images acquired for sports (tennis games) that can represent real similar environments. The effectiveness of effective secondary data collection was improved by research on methods and processing structures. Therefore, by applying the data collection method proposed in this study, ordinary people can collect and manage data to improve their health and athletic performance in the sports and health industry through the simple shooting of a smart-phone camera.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.85-95
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• 2021

Currently, we stand between computers as creative tools and computers as creators. A new genre of movies, which can be called a post-cinema situation, is emerging. This paper aims to diagnose the possibility of the emergence of AI cinema. To confirm the possibility of AI cinema, it was examined through a case study whether the creation of a story, narrative, image, and sound, which are necessary conditions for film creation, is possible by artificial intelligence. First, we checked the visual creation of AI painting algorithms Obvious, GAN, and CAN. Second, AI music has already entered the distribution stage in the market in cooperation with humans. Third, AI can already complete drama scripts, and automatic scenario creation programs using big data are also gaining popularity. That said, we confirmed that the filmmaking requirements could be met with AI algorithms. From the perspective of Manovich's 'AI Genre Convention', web documentaries and desktop documentaries, typical trends post-cinema, can be said to be representative genres that can be expected as AI cinemas. The conditions for AI, web documentaries and desktop documentaries to exist are the same. This article suggests a new path for the media of the 4th Industrial Revolution era through research on AI as a creator of post-cinema.

• Korean small business review
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• v.42 no.4
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• pp.251-283
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• 2020

The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.