• International journal of advanced smart convergence
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• v.12 no.3
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• pp.149-156
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• 2023

Joint research on software, electronic engineering, computer engineering, and financial engineering and the use of ICT knowledge through network formation play an important role in strengthening science and technology-based innovation capabilities and facilitating the development and production process of products using new technologies. For the purpose of this study, I would like to strategically propose ICT specialized education in the 4th industrial revolution. To this end, the ICT specialization model, ICT specialization strategy analysis, and ICT specialization operation and effect were explored to establish ICT specialization strategies centered on software, electronic engineering, computer engineering, and financial engineering in the era of super-intelligence, hyper-connected, and hyper-convergence. Secondly, a roadmap for detailed promotion tasks related to efficient ICT characterization based on core strategies, detailed promotion tasks, and programs was proposed, focusing on talent related to ICT characterization. Thirdly, we would like to propose a reorganization of the academic structure and organization related to ICT characterization. Finally, we would like to propose the establishment of a future-oriented education system related to ICT specialization based on the advanced education and research environment.

• Journal of Sport and Applied Science
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• v.7 no.2
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• pp.13-19
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• 2023

Purpose: The purpose of this study is to provide directions and implications related to eco-friendly marketing and products of outdoor brand companies by empirically analyzing the influence of outdoor brand's eco-friendly activities on brand image and word of mouth. Research design, data, and methodology: In this study, a survey was conducted on those who have purchased outdoor brand products through the convenience sampling method, and a total of 470 effective samples were collected. Frequency analysis, reliability analysis, confirmatory factor analysis, and structural equation model analysis were conducted based on the collected data. Results: As a result of the analysis, first, it was found that eco-friendly marketing among the eco-friendly activities of outdoor brands did not have a positive effect on the brand image. Second, among the eco-friendly activities of outdoor brands, eco-friendly products were found to have a positive effect on the brand image. Third, it was found that the brand image had an effect on word of mouth intention. Conclusions: Academic and practical implications were discussed based on the research results that eco-friendly marketing of outdoor brands does not have a positive effect on brand image, eco-friendly products have a positive effect on brand image, and brand image affects word of mouth.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.634-635
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• 2022

COVID-19의 확산과 급속한 디지털 전환으로 인해 비대면으로 소통하고 정보를 교류하는 메타버스 플랫폼이 최근 많은 주목을 받고 있다. 하지만 새로운 플랫폼의 등장에도 불구하고 대부분 게임이나 상용 시스템 위주로 적용되고 있으며 학술정보서비스 영역에서의 적용은 요원한 현실이다. 본 연구에서는 기술의 적용 형태와 지향범위에 따른 메타버스의 '증강현실, 일상기록, 미러월드, 가상세계' 등의 4가지 유형과 메타버스 플랫폼 주요 현황을 살펴보고, KISTI에서 제공하고 있는 과학기술지식인프라 통합서비스 ScienceON과 연계하여 디지털 연구환경 조성과 개방형 협업연구 활동을 지원하는 메타버스 플랫폼 키온버스의 제공서비스 유형과 주요 기능 등 학술정보서비스 영역에서의 메타버스 적용방안을 제시하였다. 본 연구는 학술정보서비스에 적용된 메타버스 플랫폼의 사례로서 향후 메타버스 활성화에 기여할 것으로 기대한다.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.329-338
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• 2017

The purpose of study was to investigate the impacts of social isolation, psychological acceptance, and sleep disorder on depression among nursing students. Subjects were 383 nursing students in Gyeonggi-do, and survey was conducted from June to July 2015. The data were analyzed by t-test, ANOVA, Pearson's correlation coefficients, multiple regression analysis. The results showed that depression was different in grade, academic stress, major satisfaction of nursing. Depression was correlated with social isolation (r=.47, p<.001), sleep disorder (r=.43, p<.001), and psychological acceptance (r=-.41, p<.001). Academic stress, major satisfaction of nursing, sleep disorder, social isolation, and psychological acceptance were identified as factors affecting depression. It is necessary to be considered social isolation, psychological acceptance, sleep disorder and other variables in developing convergence program to reduce depression in nursing students.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.123-131
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• 2013

If Industrial state-of-the-art technology that made through IT convergence should be to build safely environment that can protect then IT technology and manufacturing industry become convergence and a growth engine become stable positioning. In each industry, there has been a steady effort for the industrial security. However, they introduced only managerial/technical/physical countermeasures. Therefore, it is difficult to find a reference point as industrial security necessity, protecting coverage and things and so on. It is to lack that academic research in industrial security for protecting industrial technology. In detail, a clear definition lack for industrial security. And target range classification lack for industrial security studies. In this study, we redefined the concept of industry security through previous studies. Academic classification designed industrial security studies through delphi method. we analyzed industry security trends based industrial security studies classification and presented domestic industry research orientations.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.227-235
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• 2016

This research focuses on the life history of university professor and the meaning of their lives to provide career information to parents and teachers conducting childhood career education. professor K with 25 years of professorship was targeted for insides's view(emic), which describes the life story through the professor's voice and words, was used as the method of research and additional data was collected through in-depth interviews with professor K, his writings, e-mails and in-depth interviews. The collected data was electronically transferred and categorized for field and categorical analysis. The analysis showed that the motive for professor K to enter academic society was due to his utmost efforts, assistance of family, and his friend encountering. Also after entering the university, he served as key role in research, education and as an appointed professor. After retirement, he is contributing to the society as a expert and practitioner. As such, 'continuous effort and consistent personal innovation', 'strong belief and clear calling', 'warm humanity and practical life', and 'flexible attitude and educational passion' were deducted from professor K 's professional capability.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.257-267
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• 2018

The purpose of this study was to evaluate the effects of an ESP module program which combines Keller's ARCS model for the $1^{st}$ grade nursing students. Students' learning motivation and academic achievement were compared between an intervention group and a control group and their perception and subjective effects on the module program were identified. Quantitative data showed that the overall level of learning motivation in the intervention group was significantly higher than that in the control group (t=2.391, p=.019). No significant difference was found on the level of academic achievement between two groups (t=0.116, p=.098). Contents analysis on the qualitative data showed that ESP module program was interesting, effective, helpful for understanding clinical settings, and giving confidence and satisfaction. According to the result, it is assumed that the ESP module program which combines ARCS model can be effective in motivating the $1^{st}$ grade nursing students to learn nursing contents and English.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.73-83
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• 2020

Recently, the importance of self-directed learning has emerged in the fields of public education, private education, lifelong education, and vocational training education, in which learners can actively cope with knowledge in an infusion-oriented way. However, there are various theoretical knowledge such as concepts and strategies for self-directed learning, but the situation is insufficient for a system where learners can easily receive content in the academic field they want, depending on the actual self-directed learning operation plan or learning area. Therefore, since it is important to provide various learning content in this paper, we utilize text mining techniques to obtain appropriate information and refine and categorize the meaning. On-line, they want to study a system that provides a variety of content in the academic field that learners are trying to acquire.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.191-200
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• 2018

In this study, the relationship between selective attribute and socio-maturity was found to be statistically significant in cooking major of cooking high school students. The selective attribute of cooking major influenced the affinity of members and the selective factor of cooking major was social Affecting the management of self - esteem and self - efficacy. The selection process of cooking major affects the superior adaptability of school life. The results of this study are as follows. First, the relationship between the social maturity and the satisfaction of the majors of the cooking major students was statistically significant in the hypothesis of the model, and the member relational affinity and social intimacy influenced the participation of the curriculum model And social maturity influenced social intimacy.