Analysis of effective integration of information platform courses and daily teaching in universities based on adaptive network-Reference-Cited by-同舟云学术

Analysis of effective integration of information platform courses and daily teaching in universities based on adaptive network

Published:2023-10-17 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Ma Jing¹

Affiliation:

1. 1 Economic and Trade Department , Xi’an University of Architecture and Technology Huaqing College , Xi’an , Shaanxi , , China .

Abstract

Abstract This paper first analyzes the effective application of web platforms and information technology in college teaching and constructs a web-based teaching aid platform for college courses based on the open Web. Secondly, the A3C algorithm is used to implement adaptive coding decisions to improve the performance of the platform by adaptive network coding. Finally, the performance test analysis is conducted for the web teaching aid platform built in this paper. The results show that the average response time of the system using the communication function with 2000 concurrent users is 1.807s, and the CPU and memory usage are 1146MHz and 1486MB, respectively, after running for 25s. This shows that adaptive network coding can effectively improve the performance of the supplementary teaching platform.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.2.00683

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