• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.75-81
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• 2021

In the new era of the 4th industrial revolution, new jobs using the latest technologies such as big data, cloud, IoT, and AI are increasing. In the field of various industries, talents who can converge IT and industrial fields are needed, but such convergence-type talents are insufficient. This study analyzed the effects of IT convergence startup education on the learning effect and educational performance of trainees preparing for re-employment. A survey was conducted with 160 trainees preparing for reemployment. Frequency analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed using the analysis tool SPSS 22.0 program. As a result of the study, first, in the IT convergence startup education of trainees who are preparing for re-employment, it was found that the sub-factors such as education content, instructor, and member satisfaction had a positive effect on the learning effect. Second, in the IT convergence start-up education for employment trainees, it was found that the sub-factors such as education contents, instructors, and the satisfaction of learning members had a significant effect on educational performance. It is expected that this study will serve as a basic data for preparing a start-up support system to revitalize start-ups in the IT convergence field.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1169-1179
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• 2021

This research aims to develop the instrument of feasible and reliable digital-age literacy to be used in the learning process. This needs to be done due to a different region, tribe, and gender involved in this research. The digital-age literacy developed in this research consisting of 8 constructs, including 1) basic literacy, 2) scientific skill, 3) economy skill, 4) information skill, 5) technology skill, 6) visual skill, 7) various cultures skill, and 8) global awareness. As many as 650 respondents were chosen through stratified and random sampling in this survey. Those respondents were students at Universitas Terbuka based on gender and Ethnicity comparison. To see the internal consistency, the data were then analyzed using SPSS 23.00 version for Windows. It was obtained that all questionnaire constructs were valid and reliable, proven by obtaining a high mean reliability value of Cronbach Alpha (0.816 > 0.6), in which each item had a high value (0.778-0.841). Therefore, the number obtained the results proved that this research had produced a quality instrument that can be used to evaluate the students' mastery of the digital-age literacy of the learning process in Universitas Terbukain Asia, especially in Indonesia.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.132-139
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• 2022

The development of the fourth industrial revolution and logistics 4.0 related technology, the growth of the e-commerce market, and the transition to a non-face to face society due to the pandemic are accelerating the growth of the logistics industry. Due to the growth of the logistics industry, various services are emerging to meet the requirements of the market, and research and technology development related to the parcel storage, which is an important element of the last mile service, is also underway. In the past, if it was difficult to deliver the goods directly to the recipient, the parcel storage installed near the delivery location was used, but the usability was not good and the storage of the goods was limited. In addition, the existing parcel storage has a lot of functional limitations compared to the advanced logistics technology, so it is necessary to develop a device that improves it. Therefore, this study conducted to secure safety for unmanned parcel storage devices with robot technology to improve usability and functionality in line with the advanced logistics industry. Based on ISO 10218, an industrial robot related standard, risk identification studies were conducted to derive results that contribute to the development of devices under development.

• Journal of Society of Preventive Korean Medicine
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• v.26 no.2
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• pp.25-35
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• 2022

Objectives : This study aims to analyze the patents filed in the clinical diagnosis sector where technologies have been actively developed since the advent of the 4th industrial revolution. Methods : The analysis has been conducted in two ways - the period from 2016 to 2021 and the time points before and after COVID-19 - by visualizing based on the word cloud method. Results : Over two thirds of patents has been filed in the A61B sector (71.8%) and cure, sensor, self diagnosis, control, and breakdown have been observed in the period above. During the overall period (2016~2021), 'ultrasound'(7.5%), 'image'(5.1%), 'skin'(4.0%), 'treatment'(3.4%), and 'artificial intelligence(2.5%)' were the frequently patent applications technologies. In addition, 'ultrasound'(6.2%), 'image'(5.5%), 'skin'(4.0%), 'treatment' (3.7%), and 'portable'(1.7%) appeared most frequently before COVID-19 whereas 'ultrasound(5.5%)', 'artificial intelligence(4.2%)', 'diagnostic device'(1.9%), 'dimentia'(1.6%), and 'diagnostic kit'(1.4%) emerged the most after COVID-19. Conclusion : This study is meaningful in that it showed the technological development trend in the digital diagnosis sector and it was found that the Korean medicine field should contribute to this field more actively in the future.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.373-379
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• 2023

With the 4th Industrial Revolution, VR/AR technology is developing, and since COVID-19, the use of VR/AR technology is increasing and is being used in various environments. In particular, AR technology can be used in various educational fields and the perception of VR in the educational field and learning satisfaction, problem-solving ability, and self-directed learning ability when using VR were analyzed. It was analyzed that perception of VR and learning satisfaction had a significant correlation at the significance level of 0.001, and problem-solving competency had a significant correlation between learning satisfaction and self-directed learning ability at the significance level of 0.05.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.675-684
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• 2019

Under the wave of the Fourth Industrial Revolution, developed countries around the world recognize Smart Factory as a core base and strive to enhance the nation's industrial competitiveness through related policies and industry development. Domestic ministries have also set up a strategy for manufacturing innovation 3.0 and are pushing for the expansion of smart factories with 30,000 targets by 2025. In this study, we analyze the practical cases of smart factory security related companies and present the application methods for the same industry. we also intend to contribute to the protectetion of important information in Smart Factory and stable operation.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.39-45
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• 2022

For national industrial development in the Fourth Industrial Revolution, it is necessary to provide researchers with appropriate job information. This can be achieved by interconnecting the National Science and Technology Standard Classification System used for management of research activity with the Korean Employment Classification of Occupations used for job information management. In the present study, an automatic linkage model of classification systems is introduced based on a pre-trained language model for interconnecting science and technology information with job information. We propose for the first time an automatic model for linkage of classification systems. Our model effectively maps similar classes between the National Science & Technology Standard Classification System and Korean Employment Classification of Occupations. Moreover, the model increases interconnection performance by considering hierarchical features of classification systems. Experimental results show that precision and recall of the proposed model are about 0.82 and 0.84, respectively.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.103-110
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• 2022

In the era of the 4th Industrial Revolution, smart technology being considered to improve productivity breakthroughs is in the spotlight as a means to replace traditional construction technology in the construction industry. However, various problems are occurring in construction sites using smart technology and causing negative impacts on construction projects. Therefore, the objective of this study is to identify risk factors that occur when smart technologies are used in construction projects. To achieve this purpose, this study investigated the difficulties at construction projects using smart technology, and risk factors were derived based on site surveys and literature. The risk factors were measured by experts, and then a total of 19 risk factors was derived by exploratory factor analysis. As a result, risks were classified as 5 factors, the institutional factor is the most difficult response, and the government needs anticipative system improvement and a long-term plan. The research findings provide practical implications for construction experts trying to apply smart technology in construction sites and construction policy-makers to revitalize smart technology.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.113-121
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• 2023

This is a descriptive survey research aimed at investigating the level of digital literacy and verifying the impact of digital literacy and academic self-efficacy on problem solving in nursing students, with fousing on digital literacy, which is emerging in the era of the 4th Industrial Revolution. Data were collected between April and May 2022 from 118 nursing students at a university located in K City, and were analyzed using descriptive statistics, two-sample t-test, one-way ANOVA, and multiple regression with the SPSS 18.0 program. The results showed that nursing students generally have good digital literacy, but they struggle with specific areas like material development and information evaluation. Nursing students' digital literacy (β=.311, p=.001), followed by academic self-efficacy (β=.184, p=.048), had a significant impact on problem-solving ability (F=12.237, p< .001), as explanaing 16.1% of the variation. To improve nursing students' digital literacy and problem solving, developing a more structured and situation-oriented nursing education curriculum is needed.

• Journal of the Korean Applied Science and Technology
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• v.35 no.3
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• pp.935-939
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• 2018

3D Printing technology is developing in various prototypes for medical treatment, food, fashion as well as machinery and equipment parts production. 3D printing technology is also able to fully be utilized to other industries in terms of developing its technology which has been reported in many field of areas. 3D printing technology is expected to be used in various applications related to $4^{th}$ industrial revolution such as finished products and parts even it is still carried out in the prototype model. In this study, we have investigated and developed conductive resin for 3d printing application based on reduced graphene oxide(rGO)/Polypyrrole(Ppy) composite and polycaprolactone(PCL) as a biodegradable polymer. The electrical properties and surface morphology of the conductive PCL resin based on therGO/Ppy composite were analyzed by 4point-probe and scanning electron microscope(SEM). The conductive PCL resin based on rGO/Ppy composite is expected to be applicable not only 3D printing, but also electronic materials in other industrial fields.