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Design and Deconstruction of the Intelligent System of College Physical Education in the Era of 5G + Artificial Intelligence

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DOI: 10.23977/jaip.2024.070212 | Downloads: 7 | Views: 159

Author(s)

Jinling Ma 1

Affiliation(s)

1 School of Intelligent Technology, Tianfu College of Swufe, Chengdu, Sichuan, 61000, China

Corresponding Author

Jinling Ma

ABSTRACT

In today's world, the core of competition revolves around the caliber of talent and the nation's capacity for self-driven innovation.  Education serves as the foundation for developing skilled individuals and enhancing their abilities.  Through robust educational systems, we can elevate the standards and competencies of our workforce, thereby fostering a culture of innovation and progress. At present, people advocate to encourage the holistic growth of students, so it is not only necessary to improve the scientific and cultural aspects, but also the athletic and wellness programs in tertiary institutions. With the continuous promotion and popularization of artificial intelligence technology, it is involved in all levels of society and has yielded positive outcomes. The combination of artificial intelligence technology and the school's sports system is the focus of research. This paper seeks to explore the design of the intelligent framework for college physical education in the era of 5G and artificial intelligence. It is expected to use "5G" and AI technology to change the existing sports framework in higher education institutions, improve the sports literacy of college students, and promote the holistic development of students. In this paper, the cloud-based platform model is used in the college sports management system, which significantly enhances the computing and storage capabilities of the management application platform, making it more suitable for the individual needs of college sports education administrators. In this paper, a multi-agent positioning experiment system is constructed, which provides a practical simulation platform for the theoretical research on multi-agent formation and positioning. This paper studies the management information system based on the B/S (Browser/Server) model to improve the overall level of sports informatization. The experimental findings in this paper indicate that the CPU occupancy rate reaches 44% when the traditional mode runs for 50s, 49% when it runs for 100s, and 35% when the smart sports system runs for 50s, and 42% when it runs for 100s. The smart sports system occupies less CPU during operation, which improves the utilization of resources.

KEYWORDS

Smart System, College Sports, Artificial Intelligence, 5G Era

CITE THIS PAPER

Jinling Ma, Design and Deconstruction of the Intelligent System of College Physical Education in the Era of 5G + Artificial Intelligence. Journal of Artificial Intelligence Practice (2024) Vol. 7: 86-96. DOI: http://dx.doi.org/10.23977/jaip.2024.070212.

REFERENCES

[1] Liu J. Innovation studies on physical education system of colleges and universities on the basis of analytic hierarchy process. Revista de la Facultad de Ingenieria, 2017, 32(11):647-652.
[2] Li B. Evaluation and improvement of physical education teaching in colleges and universities based on AHP level analysis. Revista de la Facultad de Ingenieria, 2017, 32(16):188-194.
[3] Wang H, Yu J. Research on Smart Learning System For Universities In Epidemic Environment. Journal of Research in Engineering and Applied Sciences, 2021, 6(3):113-120.
[4] Wang Q. Tennis Online Teaching Information Platform Based on Android Mobile Intelligent Terminal. Mobile Information Systems, 2021, 2021(12):1-11.
[5] Zhang Y, Qin G, Cheng L. Interactive Smart Educational System Using AI for Students in the Higher Education Platform. Journal of Multiple-valued Logic and Soft Computing, 2021, 36(1-3):83-98.
[6] Parkvall S, Dahlman E, Furuskar A. NR: The New 5G Radio Access Technology. IEEE Communications Standards Magazine, 2017, 1(4):24-30.
[7] Thrall J H, Li X, Li Q. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success. Journal of the American College of Radiology, 2018, 15( 3):504-508.
[8] Price S, Flach P A. Computational support for academic peer review: a perspective from artificial intelligence. Communications of the Acm, 2017, 60(3):70-79.
[9] Chen A F, Zoga A C, Vaccaro A R. Point/Counterpoint: Artificial Intelligence in Healthcare. Healthcare Transformation, 2017, 2(2):84-92.
[10] Havinga P, Meratnia N, Bahrepour M. Artificial intelligence based event detection in wireless sensor networks. University of Twente, 2017, 85(6): 53-62.
[11] Cath C, Wachter S, Mittelstadt B. Artificial Intelligence and the 'Good Society': the US, EU, and UK approach. Science and Engineering Ethics, 2017, 24(7625):1-24.
[12] Lee H C, Jung C W. Anesthesia research in the artificial intelligence era. Anesthesia and Pain Medicine, 2018, 13(3):248-255.
[13] Tomkos I, Klonidis D, Pikasis E. Toward the 6G Network Era: Opportunities and Challenges. IT Professional, 2020, 22(1):34-38.
[14] Deng G, Zhang J, Ye N. Consumers' human nature and their shopping channel choices in the emerging artificial intelligence era: based on Xunzi's humanity hypothesis. International Marketing Review, 2020, 38(4):736-755.
[15] Liu, Xinwei. The 5G Era Brings New Development Opportunities for the IoT Industry. China's Foreign Trade, 2019, 576(06):54-55.
[16] Lee J H, Park J J, Lee J H. Study on the Service Acceptance Intention of the Sports-Utilized 5G Advertisement. Korean Journal of Sports Science, 2021, 30(1):571-581.
[17] Eteng I E, Ahunanya U D, Umoren P U. An Online Voting System for Colleges and Universities. Computing & Information Systems, 2018, 22(2):9-28.

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