• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.146-152
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• 2022

Information collected from temperature, humidity, inclination, and pressure sensors using Raspberry Pi or Arduino is used in automatic constant temperature and constant humidity systems. In addition, by using it in the agricultural and livestock industry to remotely control the system with only a smartphone, workers in the agricultural and livestock industry can use it conveniently. In general, temperature and humidity are expressed in a line graph, etc., and the change is monitored in real time. The technology to visually express the temperature has recently been used intuitively by using an infrared device to test the fever of Corona 19. In this paper, the information collected from the Raspberry Pi and the DHT11 sensor is used to predict the temperature change in space through intuitive visualization and to make a immediate response. To this end, an algorithm was created to effectively visualize temperature and humidity, and data representation is possible even if some sensors are defective.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.11-28
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• 2021

As untact travel has become a new trend in leisure culture due to the spread of COVID-19, car camping market is rapidly increasing. The sales of car camping-related goods increased by up to 600 percent, and the sales of SUV in Korea also increased by about four times. Despite the growth of the car camping market, there is a lack of research on the actual condition of the car camping market or research on the user's perspective. Therefore, in this study, a survey of actual camping users was conducted to derive factors that they consider important in camping, and through this, a car camping map was produced. As a result, two types of maps were produced: a map about the car camping site and convenience facilities closest to the car camping site in Gangwon-do, and a hash tag themed map based on keywords for each car camping site. We gathered data on portal sites and social media to obtain information related to camping sites and proceeded with analysis using text mining. In addition, we extracted keywords using network analysis techniques and selected key themes that represent them. This allows the user to choose a car camping site by selecting keywords that suit their taste. We hope that this research will help car camping researchers as a prior study and provide a foundation for leading a clean camping culture through clean camping campaign. Also, we hope that car camping users will be able to do quality trip.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.57-69
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• 2022

This study is a qualitative study attempting to understand the experiences of blended learning of curriculum of fundamental nursing practice under the COVID-19. In the present study participated with 18 nursing students, data was collected through focus group interviews, the blended class was organized until 14^th week by configuring a non-face-to-face e-Learning for the odd week and the face-to-face practice for the even week, and the collected data was analyzed using content analysis methods. As a result of analysis, a total of 250 significant statements were derived, the statements being analyzed based on eight subcategories, four upper categories, and two subjects. The derived four upper categories were "maladjustment to a sudden change in teaching method," "lowering of learning efficiency and confusion during class," "ambivalence toward online class," and "positive experience for a new learning method." The present study would be able to provide the basic data for developing a blended, learning operating program and applying to various practice-based curriculum by providing useful information relating to the blended learning class for the fundamental nursing practice for nursing students in the on-tact era.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.279-286
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• 2021

In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.39-46
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• 2022

The overall digital transformation in society is rapidly progressing with the corona virus epidemic. In particular, in the field of cultural heritage and museums, digital transformation is taking place throughout the preservation, management, and utilization of cultural heritage. To respond to this, the importance of cultivating the digital literacy of museum professionals to select and utilize digital cultural heritage information is increasing. However, the current digital capacity education of museum professionals has not reached the cultivation of digital literacy due to one-way theory and one-way practical education. To overcome this, we propose a digital capacity building program using virtual museums. We propose a curriculum based on participatory museums, cooperative learning, and project-based learning theories. Learners experience the entire process of acquiring, selecting, and utilizing digital cultural heritage information through individual, cooperative, constant, exhibitions, and project-based learning programs. We were evaluated by experts in terms of education, museum education, and ICT technology education to prove its usability and derive improvements. This study will contribute to building the digital capacity of museum professionals.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.33-38
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• 2021

The data economy' is growing rapidly with the corona era. The quantity and quality of digital data is increasing rapidly. The domestic data industry needs a variety of data manpower, but there is still a shortage of high-quality data manpower. The data manpower in high demand is the development manpower, but the data business manpower is needed to increase the added value of the data industry. The role of a data trade manager that creates high core value among data business personnel is attracting attention. This study derives the job definition of the data trade manager, the necessary knowledge and skills, and the educational content necessary for the training course through Delphi research. In order to validate the results of the research, the study try to verifies the role of data trade managers. This study can be used as a theoretical basis for an educational model that is the basis for training data manpower, and can be used to establish a manpower training policy in the future.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.203-211
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• 2021

The purpose of this study is to analyze the effects of disturbance factors of exercise on leisure satisfaction and health-related quality of life in the era of COVID-19 in club members participating in sports for all and use for basic data for continuous exercise to keep and improve health. 353 sports for all club members who consented to the study participated in the study after the purposes and methods of the study were explained. The following conclusions were drawn. The disturbance factors of exercise had significant effects on leisure satisfaction and health-related quality of life in sports for all club members. Moreover, leisure satisfaction had significant effects on health-related quality of life. Although we hope to end COVID-19, we should prepare with Corona. Sports facilities should strive for quarantine and personal hygiene to help sports for all club members' continuous participation in exercise for their healthy life.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.59-66
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• 2021

Globally, the prolonged pandemic of COVID-19 (COVID-19) has had a great impact on all industries. In particular, in the field of education, online classes (non-face-to-face) had some negative perceptions of online classes, such as lack of preparation for learning and student dissatisfaction with the class. According to the current situation survey in 2020, non-face-to-face classes accounted for about 56% of the class, and streaming real-time classes and video content-based classes accounted for most of the class. This study empirically analyzes the problems to be solved by online classes through the 2020-2021 survey (software application practical class university students), and explains the detailed program and development plan (implementation result). This study intends to contribute to the development of online learning development of each educational institution after the end of the corona crisis.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.443-456
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• 2021

This study was conducted to determine the extent to which music and art education had an effect on relieving depression and stress caused by COVID-19 and social distancing for teenagers in Seoul. To this end, with the cooperation of the Seoul Metropolitan Office of Education, an official document was issued to elementary, middle, and high schools in Seoul, and a study on the current status of about 1,745 students was conducted. Therefore, this study intends to prove through this study that music activity can significantly contribute to relieving depression and stress in adolescents on the basis that COVID-19 has a significant effect on the induction of depression and stress in adolescents. To this end, based on previous research, while examining the changes in the psychological state of Koreans due to COVID-19, we would like to analyze the depression and stress of adolescents intensively. And by experiencing music activities, it will be confirmed that depression and stress caused by COVID-19 can be relieved to a large extent through physiological and emotional changes. Furthermore, based on the survey, we intend to suggest that music activities will help adolescents to improve their emotional stability, cultural sensitivity, and self-esteem, and ultimately develop into healthy cultural people in terms of education.