scholarly journals Evaluation Index of School Sports Resources Based on Artificial Intelligence and Edge Computing

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Long Hao ◽  
Li-Min Zhou
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Information Management ◽  
Mobile Internet ◽  
Video Data ◽  
Edge Computing ◽  
Evaluation Index ◽  
Cloud Processing ◽  
School Sports ◽  
Live Broadcast

As the demand for education continues to increase, the relative lack of physical resources has become a bottleneck hindering the development of school physical education to a certain extent. This research mainly discusses the evaluation index system of school sports resources based on artificial intelligence and edge computing. Human resources, financial resources, and material resources in school sports resources are the three major resources in resource science. University sports stadium information publicity uses Internet technology to establish a sports information management platform and mobile Internet terminals to optimize university sports resources and stadium information management services. It uses artificial intelligence technology to improve venue information management. It establishes a comprehensive platform for venue management information, collects multidimensional information, provides information resources and accurate information push, and links venue information with public fitness needs. Using edge computing to realize nearby cloud processing of video data, reduce the phenomenon of black screen jams during live broadcast, improve data computing capabilities, and reduce users’ dependence on the performance of terminal devices, build a smart sports resource platform, combine artificial intelligence (AI) to create smart communities, smart venues, and realize intelligent operations such as event service operations and safety prevention and control in important event venues. During the live broadcast of the student sports league, the nearby cloud processing of video data is realized in the form of edge computing, which improves the data computing ability and reduces the performance dependence on the user terminal equipment itself. In the academic survey of college physical education teachers, undergraduates accounted for 26.99%, masters accounted for 60.3%, and doctoral degrees accounted for 12.8%. This research will help the reasonable allocation of school sports resources.

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

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wenze Sun ◽  
Yuchi Gao
Keyword(s):  
Physical Education ◽  
Management System ◽  
Edge Computing ◽  
Teaching Management ◽  
Education Management ◽  
Management Platform ◽  
School Sports ◽  
Depth Analysis ◽  
Online Management ◽  
Resource Library

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.

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things

2021 ◽  
pp. 1-1
Author(s):  
Zhuoqing Chang ◽  
Shubo Liu ◽  
Xingxing Xiong ◽  
Zhaohui Cai ◽  
Guoqing Tu
Keyword(s):  
Artificial Intelligence ◽  
Edge Computing ◽  
Recent Advances

Research on Designing the Information Management Platform of Physical Education Based on B/S Model

2014 ◽  
Vol 989-994 ◽  
pp. 5481-5485
Author(s):  
Guo Ying Wang
Keyword(s):  
Physical Education ◽  
Information Management ◽  
Central Processor ◽  
Communication Interface ◽  
Information Platform ◽  
Management Platform ◽  
Central Processor Unit ◽  
Framework Model ◽  
Processor Unit ◽  
S Model

This paper, by using multi-layer B/S framework model, combines with VB programming to carry out innovative design of physical education (PE) platform, which has got the B/S framework platform of PE management. PE information management platform mainly comprises the teacher end, the central processor unit (CPU) and the student end, where the communication interface mainly comprises the editor and the computer, and the input of teacher end includes the computer buttons, sensors, and so on. While for the core parts of the system, they are the CPU and the memory demonstrated by PE. Student end through the I/O expansion function analyzes and displays the teaching sound and video signal displayed by using LED or LCD. Finally, the paper designs the data analysis and transfer function of PE information platform, and obtains the curve of information throughput with time changing, which provides a new computer method for the research of PE.

Influencing Factors of School Physical Education Policy Implementation Based on AHP

2021 ◽  
Vol 7 (5) ◽  
pp. 2902-2915
Author(s):  
Xia Liu
Keyword(s):  
Physical Education ◽  
Education Policy ◽  
Policy Implementation ◽  
Influencing Factors ◽  
Decisive Role ◽  
School Sports ◽  
Sports Policy ◽  
Organizational Mechanism ◽  
Education Policy Implementation ◽  
Physical Education Policy

Objectives: AHP (Analytic Hierarchy Process) is used to analyze the influencing factors of school physical education policy implementation. Methods: Based on the established hierarchical structure model of influencing factors of school physical education policy implementation, the importance of indicators in each level is compared in pairs, the judgment matrix is established step by step, the relative importance order weight of each level element is calculated, and the consistency test is carried out, and then the ranking of each level and the general ranking are obtained. Results: The results show that the principal, as the first responsible person for the implementation of school sports policy, plays a directional decisive role in the implementation of school sports policy. Organizational mechanism and funding guarantee factors are necessary conditions for the implementation of school sports policy, and school sports policy factors are a powerful driving force for the implementation of school sports policy. Conclusion: AHP provides theoretical reference for better understanding the influencing factors of school physical education policy implementation and putting forward corresponding intervention measures.

Sports and recreation facilities in schools – history and present state

2021 ◽  
Vol 4 (1) ◽  
pp. 89-113
Author(s):  
Anna Pawlikowska-Piechotka
Keyword(s):  
Physical Education ◽  
Individual Student ◽  
Sports Facilities ◽  
Ministry Of Education ◽  
National Education ◽  
The Public ◽  
School Activities ◽  
School Sports ◽  
The Individual ◽  
The 19Th Century

The tradition of school sports facilities has its roots in ancient civilizations, primarily in ancient Greece. The preserved ruins of gymnasiums at Delphi, Olympia, Millet, Priene, Dedina, Pergamon, Ephesus or Thermessos, document well that sports facilities were a major part of the education system. They served not only for students and sports training but were opened to the public, used for social gatherings, political meetings and disputes. Contemporary school sports facilities derived from the 19th-century concept of the school’s educational program. It also included the indoor and outdoor physical education classes and facilities used for ‘body-building exercises’ - as it was named. In Poland, according to the current basic curriculum of the Ministry of National Education, the goal of physical education is to shape the long life habit of physical activity. The school activities should develop the appropriate interests and attitudes of students. Therefore, school activities should meet the needs, interests and abilities of the individual student as fully as possible. The present regulations of the Ministry of Education demand, that such classes should take place in a well-equipped sports hall or on a school playground.

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