• Journal of Digital Convergence
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• v.20 no.3
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• pp.415-422
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• 2022

This study requires a new paradigm for universities in line with the global pandemic and the 4th industrial revolution. Accordingly, we propose an educational plan for the H university online graduate school in Korea. As a research method, the implications of scholars and experts on future education were synthesized, and the cases of overseas universities using it were analyzed to propose an online graduate school education plan. As a result of the study, online graduate school needs diversity as a venue for providing new opportunities as lifelong education, and to realize this, they use a microcredit. Blockchain technology is introduced so that microcredit can be transparently verified. In addition, to correspond to various convergence major programs and further develop them, problem-solving-oriented teaching methods enhance students' convergent skills as well as active learning and interaction. More detailed curriculum research at online graduate schools is needed in the future, and we hope that you will contribute to the development of online graduate school education based on this study.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.173-185
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• 2016

As a dual-degree program/exchange student program becomes widespread, the faculty and students consisting of a course are being globalized. Recently, there has been an online or blended learning-based course, which is evolved from a conventional offline course. However, the course has no consideration of a dual-degree program or exchange student program because it is limited to a domestic university. To create and manage a global course, there have several of difficulties in the aspects of cost or effectiveness. As a solution to tackle them, it is necessary to do research on providing blended global courses with a fusion approach of online and offline. In this paper, we studied and presented a model of blended global courses. To create and maintain overseas scholar-oriented courses, we devised eight types of blended global courses depedning on their opening time and the cooperative relation between online and offline and made their comparative analysis. The blended global course proposed in this paper can be applied to cultivating global human resources in universities.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.201-208
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• 2023

This study is an empirical research aimed at examining the impact of practical, field-oriented local entrepreneurship education for college students and prospective entrepreneurs in the Busan area on their entrepreneurial motivation, entrepreneurial competencies, and entrepreneurial spirit. The study is conducted to enhance the activation of youth entrepreneurship education in the Busan area and to tailor entrepreneurship competency development for prospective local young entrepreneurs. In this study, the factors of entrepreneurial motivation were divided into economic motivation and self-realization motivation, while entrepreneurial competencies were categorized into practical competencies for local entrepreneurship, local brand development competencies, and financial analysis competencies. To conduct the empirical analysis, a survey was administered to 139 participants who took part in entrepreneurship education from March to October 2023. The research findings indicate that local entrepreneurship education significantly influences participants' entrepreneurial motivation, entrepreneurial competencies, and entrepreneurial spirit. Furthermore, it was observed that entrepreneurial spirit also has a significant impact on entrepreneurial motivation and competencies. These results suggest the practical importance of tailoring entrepreneurship education to the specific characteristics of local prospective entrepreneurs.

• Korea Trade Review
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• v.46 no.2
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• pp.193-212
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• 2021

This study investigates the structural relationship among 11 latent factors that potentially influence the intention of Chinese consumers to purchase electrical vehicles (EV) by applying the MGB and TAM models, both based on well-established socio-psychological theories. For this research, we conducted an online survey using a Chinese platform collecting 287 valid responses to our questionnaire. The analysis reveals that 10 out of the 12 hypotheses were adopted while 2 were rejected. Specifically, it was found that EC (environment concern) and PEV (perceived environment value) had a positive effect on the PEU (perceived environmental usefulness) of electric vehicles. In addition, ATT (attitude), PAE (positive anticipated emotion), and PBC (perceived behavior control) were confirmed to have a significant positive relationship with DES (desire) for EV purchase. At the same time, the results of the analysis show a statistically significant relationship between PEU, ATT as well as PI (purchase intention). This study further analyzed and presented the results of the moderating effects of gender, based on the adopted relationship hypotheses. This study is novel in that it is the first attempt in the literature to apply both the MGB model and the TAM simultaneously to predict EV purchasing behavior.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.148-157
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• 2024

The purpose of this study was to develop an artificial intelligence-based marine ecological education program to improve the ecological sensitivity of elementary school students. The program was taught 11 times within 4 weeks, and an ecological sensitivity test was conducted before and after the program. The statistical results of the tests showed that the developed program improved the ecological sensitivity of elementary school students. Through in-depth interviews, improvements were found in all the areas, such as empathy for the living things, interest in nature, enjoyment of nature, and wonder about nature. Through the marine ecological classes, which used artificial intelligence and virtual reality, the students were able to get closer to nature, and the student participation activities showed a positive effect on their ecological sensitivity. This indicates that experience-oriented education methods are more effective than simple explanatory classes to improve the students' ecological sensitivity, and artificial intelligence technology proved effective in increasing the students' immersion in the class.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.13-22
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• 2024

In the current epoch of educational technology (EdTech), the realization of a personalized learning system has become increasingly important. This is due to the growing diversity of today's learners in terms of backgrounds, learning styles, and abilities. Traditional educational methods that deliver the same content to all learners often fail to take this diversity into account. This paper identifies models that comprehensively analyze learners' characteristics, interests, and learning histories to meet the growing demand for learner-centered education. Based on these models, we have designed a personalized learning system. This system is structured to support autonomous learning tailored to the learner's current level and goals by identifying strengths and weaknesses based on the learner's learning history. In addition, the system is designed to extend necessary learning elements without changing its architecture. Through this research, we can identify the essential foundations for constructing a user-tailored learning system and effectively develop a system architecture to support personalized learning.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.87-112
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• 2024

This study estimates the regional input-output table and GHG emissions in 2019 and then analyzes the economic effects of carbon taxes by region and industry in Korea. The GHG emission, emission coefficient, and emission induction coefficient are estimated to be higher in manufacturing-oriented metropolitan provinces. The GHG emission coefficient in the same industry varies from region to region, which might reflect the standard of product classification, characteristics of production technology, and the regional differences in input structure. If a carbon tax is imposed, production costs are expected to increase and demand and production will decrease, especially in the manufacturing industry, which emits more GFG. On the other hand, the impact of carbon taxes on each region is not expected to vary significantly from region to region, which might be due to the fact that those differences are mitigated by industry-related effects. Since the impact of carbon taxes is expected to spread to the entire region, close cooperation between local governments is necessary in the process of implementing carbon neutrality in the future.

• Convergence Security Journal
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• v.24 no.2
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• pp.9-17
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• 2024

This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.699-709
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• 2023

As the global air traffic volume has shown a rapid increase, doubling every 15 years since 1977, domestic and international air traffic control services and air navigation safety facility operation management system and status review It is necessary to present the feasibility of establishing an air traffic control agency with integrated functions and establish an operating system for an independent dedicated agency to provide advanced air traffic control services in preparation for the future air transport environment. In particular, in 2021, the national ATM reformation and enhancement (NARAE) a customized comprehensive plan for operations, facilities, and systems to handle air traffic safely and efficiently by actively reflecting changes in the navigation environment such as international policies and standards as this is established, the role of the air traffic control agency becomes more important, and an improved action plan for the control and navigation operating system must be promoted.