• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.291-299
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• 2020

The purpose of this study was to be used as basic data for the development of future-type curriculum in health. The awareness and preparation of the forth industrial revolution were surveyed on 280 college students in health departments preparing medical technicians. A self-written structured questionnaire was used for data collection, and the recognition of the forth industry revolution was 2.74, 3D printing (3.59) was high, and neural network machine learning(2.33) was the lowest. Students majoring in Physiotherapy (3.00) had the highest perception, and those majored in Dental engineering(2.37) had the lowest perception, and there was a difference in the degree of perception of IoT by major (p=0.024). For the forth industrial revolution, 54.5% of students are preparing, and lack of interest (42.9%) is the most difficult reason to prepare, and 50.6% of educational experience and 60.9% of VR&AR game experience have experience. In the era of the forth industrial revolution, job loss (38.7%) was high, and the required competency was creative capacity (50.6%). Therefore, it is necessary to develop a curriculum related to the fourth industrial revolution and apply teaching methods that can increase the awareness and preparation of health college students in the era of the fourth industrial revolution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.333-337
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• 2021

Companion animals are physically, mentally, and socially beneficial to humans, giving us great comfort in living in the Corona19 (COVID-19) era. It is also an era of the Fourth Industrial Revolution, featuring the convergence of information and communication technology. Korea, which is facing a super-aged society, has the highest suicide rate among OECD countries, and companion animals that are effective in emotional stability can be the answer. This study is about companion animals that are effective in stabilizing the emotions of the elderly, one of the major problems in the Republic of Korea, which is about to solve in a super-aged society with more than 20 percent of the elderly aged 65 or older, needs to solve. The impact of knowledge of raising companion animals on the satisfaction level of the elderly was investigated through the management and awareness of infectious diseases. Although the level of care of companion animals had a very significant (p<0.001) effect on the satisfaction of the companion animals, the recognition of infectious diseases has no statistical significance (p>0.05). Raising companion animals with knowledge of rearing increases the satisfaction level and can lead to a happier life. While personal learning is important, it is also believed that supporting education will be necessary as a policy consideration.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.222-230
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• 2022

Recently, Korea's cultural content industry is developing, and behind the growing recognition around the world is the real-time sharing service of global network users due to the development of science and technology. In particular, in the case of YouTube, its propagation power is fast and powerful in that everyone, not limited users, can become potential video providers. As more than 80% of mobile phone users are using YouTube in Korea, YouTube's information means that psychological factors of users are reflected. For example, information such as the number of video views, likes, and comments of a channel with a specific personality shows a measure of the channel's personality interest. This is highly related to the fact that information such as the frequency of keyword search on portal sites is closely related to the stock market economically and psychologically. Therefore, in this study, YouTube information from a representative entertainment company is collected through a crawling algorithm and analyzed for the causal relationship with major variables related to stock prices. This study is considered meaningful in that it conducted research by combining cultural content, IT, and financial fields in accordance with the era of the fourth industry.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.361-366
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• 2022

Although safety and health education is reported to be very effective in reducing the industrial accident rate, the demand for improvement in safety and health education is also very high. The purpose of this study is to present measures to enhance effectiveness by investigating the effectiveness and demand for safety and health education for supervisors among the safety and health education systems. As a result of the study, it was found that the satisfaction and effectiveness of safety and health education were low. As the most important competency required for supervisors, it was investigated that job competency was the ability to discover harmful risk factors and formulate disaster prevention measures in the work process and work environment, and base competency was communication ability. In addition to designated safety and health education institutions, there was a high demand for recognition as education completion time even when professional education by job was completed by other professional education institutions. Therefore, in safety and health education for supervisors, it is necessary to focus on major items to improve supervisors' job competency and base competency, and to recognize that they have completed education at a wide range of educational institutions. We believe that it can increase the supervisor's capacity for safety management and improve the effectiveness of safety and health education.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.323-335
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• 2021

The purpose of this study is to organize issues of exclusive contracts for celebrities, which have been a major part of the existing industry, in preparation for various contract disputes in the media entertainment industry, and disputes in the media entertainment industry. According to the law case analysis conducted to achieve the purpose of the study, the court judged that the exclusive contract that did not conform to society's conventional wisdom was not effective, and that it was difficult to maintain the contract because it was not a normal contract. In addition, the court believed that unreasonable contracts using unfair trading status and overly long contracts were all reasons for termination. According to the court's judgment, the current standard contract requires about four revisions. First, clarification of contract termination conditions, second, clarification of payment date of revenue allocation, third, diversification of contract periods, and fourth, realistic modification of penalty provisions. Standard contracts have been enacted after several discussions, but there are still many things to revise and supplement. It will not end up with the preparation and use of contracts, but it will be necessary to continuously revise them to suit the industry's situation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.91-108
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• 2022

In most cases, optical images have been used as training data of DL (Deep Learning) models for object detection, recognition, identification, classification, semantic segmentation, and instance segmentation. However, properties of 3D objects in the real-world could not be fully explored with 2D images. One of the major sources of the 3D geospatial information is DSM (Digital Surface Model). In this matter, characteristic information derived from DSM would be effective to analyze 3D terrain features. Especially, man-made objects such as buildings having geometrically unique shape could be described by geometric elements that are obtained from 3D geospatial data. The background and motivation of this paper were drawn from concept of the intrinsic image that is involved in high-level visual information processing. This paper aims to extract buildings after classifying terrain features by training DL model with DSM-derived information including slope, aspect, and SRI (Shaded Relief Image). The experiments were carried out using DSM and label dataset provided by ISPRS (International Society for Photogrammetry and Remote Sensing) for CNN-based SegNet model. In particular, experiments focus on combining multi-source information to improve training performance and synergistic effect of the DL model. The results demonstrate that buildings were effectively classified and extracted by the proposed approach.

• Korean small business review
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• v.42 no.3
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• pp.1-25
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• 2020

To commemorate the 40th anniversary of the foundation of the Korean Association of Small Business Studies, this study reviewed research papers on the subject of entrepreneurship in the Asia Pacific Journal of Small Business. For 40 years, the subjects of entrepreneurship-related studies published in this journal were relatively limited and the number of articles was very few. The research papers mainly focus on defining entrepreneurship as an innovation or as a determinant of innovation and survey-based empirical studies have been conducted since the publication of the Entrepreneurial Orientation(EO) by Lumpkin and Dess(1996). Although entrepreneurship is a research field that can be approached from various perspectives such as economics, sociology, psychology, cultural anthropology, and organization theory, most of the papers published in the Asia Pacific Journal of Small Business do not clearly state their theoretical positions or viewpoints. Moreover, there are few studies that incorporate corporate entrepreneurs or startup teams although they have been major actors or entrepreneurship. Lastly, innovation has been the main focus of research, leaving other arenas such as opportunity recognition and discovery understudied. In order to increase the quantity and improve the quality in the entrepreneurship research, we need to have the entrepreneurship field as one academic section in the Asia Pacific Journal of Small Business.

• Journal of Digital Policy
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• v.1 no.2
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• pp.25-40
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• 2022

This study analysed the effect of inheritance tax on households in reality and to improve it if there is an unreasonable aspect compared to countries around the world. The study conducted a one-on-one face-to-face survey on adults living in major cities across the country for 31 days from 1^st of September to 10^th of October, 2022. The collected data was analysed using SPSS 25.0 version and noted that 1) they preferred the abolition of inheritance tax, but hoped to improve it when maintaining it, 2) it was necessary to expand the deduction limit, abolish spouse deductions, and 3) prefer the inheritance acquisition tax system. Finally, it was found that they wanted to Extension of installment period of inheritance tax and introduce the tax deferred system.. This suggests that there is a perception that the overall revision of the inheritance tax system is necessary to maintain the inheritance tax. The significance of the study is to provide the basis for discussions on the improvement of the inheritance tax system in Korea, which does not reflect reality.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.11
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• pp.395-402
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• 2022

In case of violation of the Personal Information Protection Act, administrative dispositions will be taken according to the legal standards, and the results will be announced. However, the current method has limitations in its effectiveness as repeated administrative dispositions are increasing despite the announcement by the disclosure system of the Personal Information Protection Act. In this paper, we deploy the introduction of the 'public announcement commandment' against violators by analyzing the administrative disposition results according to the violation of the Personal Information Protection Act. It is able to strengthen the existing disclosure system for self-disclose violations by providing easy recognition to the people about the fact of violation itself against the Personal Information Protection Act. Furthermore, we analyze major industries through the industry groups and violations of laws that were subject to publication, and data published on the results of administrative dispositions for violation of the Personal Information Protection Act. Finally, we propose the legal basis for the 'public announcement commandment' which allows the violator to publish by oneself for the announcement of the fact that the corrective action has been taken.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.57-74
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• 2022

Recently, artificial intelligence parking control systems have increased the recognition rate of vehicle license plates using deep learning, but there is a problem that they cannot determine vehicles with fake license plates. Despite these security problems, several institutions have been using the existing system so far. For example, in an experiment using a counterfeit license plate, there are cases of successful entry into major government agencies. This paper proposes an improved system over the existing artificial intelligence parking control system to prevent vehicles with such fake license plates from entering. The proposed method is to use the degree of matching of the front feature points of the vehicle as a passing criterion using the ORB algorithm that extracts information on feature points characterized by an image, just as the existing system uses the matching of vehicle license plates as a passing criterion. In addition, a procedure for checking whether a vehicle exists inside was included in the proposed system to prevent the entry of the same type of vehicle with a fake license plate. As a result of the experiment, it showed the improved performance in identifying vehicles with fake license plates compared to the existing system. These results confirmed that the methods proposed in this paper could be applied to the existing parking control system while taking the flow of the original artificial intelligence parking control system to prevent vehicles with fake license plates from entering.