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      Construction of Network Multimedia Teaching Platform System of College Sports

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      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          With the development of computer technology and related disciplines, the application of multimedia technology to education is rapidly becoming the mainstream technology of educational technology. This article mainly researches the construction of college sports network multimedia teaching platform system. The physical education management module is the main module in this sports network teaching platform. Therefore, the physical education management module is tested in the testing process. Each module adopts a black box test method. In the system analysis, by dicing, slicing, rotating, and other operations on the data warehouse constructed with the student's performance data, the data are observed from different angles, which is convenient for the teacher to understand the teaching effect. This article adopts the method of grade evaluation to finally determine a number of indicators that are not contradictory and nonrepetitive. The end of a teaching unit or a series of teaching activities must be evaluated at different levels. The biggest difference between process evaluation and summative evaluation is that it not only attaches importance to objective measurement and quantitative analysis but also attaches importance to the subjective judgment and qualitative analysis of both teaching parties, which requires a combination of the two. The test environment of the system is to simulate the real operating environment of the system. A cloud computing service platform is built in the school's central computer room to provide services such as dynamic resource scheduling and dynamic load balancing. There are very few schools that use college sports networks to develop educational functions, only reaching 7.8% of the total number of campus networks. The results show that the multimedia teaching platform greatly promotes the teaching effect of college physical education.

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          Deep Learning Models for Real-time Human Activity Recognition with Smartphones

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            Pragmatic Sensory Data Semantics With Service-Oriented Computing

            The importance of an architectural semantic for service-oriented computing starts with the characteristics of software systems that has been recognized with sharing and the utilization of resources. However, an architectural characteristic for service-oriented based applications depends on interaction patterns that utilizes a data format in communication. These patterns also help in establishing communication between service components. The goal of service-oriented computing methodologies could be achieved by adopting a logical separation of services from the actual mechanism of resource assignment and allotment. This shows that how services are reliable as interaction patterns between service provider and requester. It generates the binding patterns between these two and establishes communication between them. This article discusses the mathematical-based semantic model that presents an architectural view for systems that follows a service-oriented computing methodology. It also briefs describes about different execution states and routes, which addresses the service specifications in service-oriented computing.
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              A method of multimedia teaching evaluation based on fuzzy linguistic concept lattice

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                Author and article information

                Contributors
                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1563-5147
                1024-123X
                July 14 2021
                July 14 2021
                : 2021
                : 1-11
                Affiliations
                [1 ]Department of Physical Education, Shandong Management University, Jinan 250300, Shandong, China
                Article
                10.1155/2021/6304703
                ff0f5638-6e12-4230-9eef-e7bbb4d44518
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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