The Design of University Physical Education Management Framework Based on Edge Computing and Data Analysis

Abstract

Educational informatization has become the only way for mankind to enter the information age, and the application of educational resource library is a key issue in the integration of information technology disciplines. Aiming at the shortcomings of existing college physical education management technology, this article is dedicated to developing a new online management platform for physical education. Firstly, the introduction of edge computing technology in the architecture design of college physical education system can fully improve the efficiency of the management system. Secondly, based on data cleaning, the BP neural network algorithm modified by particle swarm is used to conduct in-depth analysis of the data of the university sports teaching management system and obtain corresponding optimization measures. Finally, it is verified in actual tests that the system can quickly perform data search, entry, modification, deletion, and other operations, which can ensure the realization of the school sports department’s networked, scientific, standardized, and digitalized management of physical education resources.

A Method of Recommending Physical Education Network Course Resources Based on Machine Learning Algorithms

“…erefore, in the development process, a unified standard should be adopted to identify each knowledge point of each sports event and the format of teaching resources. At the same time, various development units, especially colleges and universities, have serious "standardism" to thought [2]. Many colleges and universities have built their own network teaching platform using their own network out of the consideration of increasing the popularity and reputation of the school brand or out of the consideration of the development and integration of the school's teaching resources.…”

Applications of Small and Medium Enterprise Management System Using Edge Algorithm

“…For example, when people stay in places they often visit, such as home and office, they want to protect these sensitive places with a higher degree of privacy at the expense of service quality. However, when they are in a public area, it is unreasonable to sacrifice so much quality of service to protect their location privacy [14]. erefore, a reasonable way is to adjust the privacy level and realize different levels of privacy protection in different scenarios.…”

“…(4) Calculate information interest similarity: according to the information interest matrix, using equation ( 15), we calculate the information interest similarity sim 2 (i, j). (5) Fusion information similarity and interest similarity: calculate the adaptive balance factor according to formula (16) and use formula (14) to fuse information similarity and interest similarity sim(i, j). (6) Find the nearest neighbor set (NNs) of the target information: according to the Top-n strategy, select the k information with the highest similarity to the target information to form a set [20].…”

Research on art design and application of indoor environment based on Artificial Intelligence

“…Can human creative behavior and artificial intelligence creative behavior be integrated [8,9]? Many scholars have discussed the influence of artificial intelligence on artistic creation, and pointed out that the artistic creation of artificial intelligence is only a non artistic "pure machine and technology activity" [10][11][12]. However, people should be aware that in a wide range of civil design, the application of artificial intelligence may greatly meet a wide range of design needs.…”