Journal ArticleDOI
The optimization of intelligent long-distance multimedia sports teaching system for IOT
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The optimization of intelligently optimized long-distance multimedia sports teaching system has certain operability and can be used to optimize school sports curriculum.About:
This article is published in Cognitive Systems Research.The article was published on 2018-12-01. It has received 30 citations till now. The article focuses on the topics: Database design.read more
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Using Mixed Methods to Understand Teaching and Learning in COVID 19 Times
TL;DR: In this paper, the authors focused on teaching-learning behavior in the online environment under crisis conditions, such as those caused by COVID-19, and collected data from 427 participants from Central and Eastern Europe and North and Central Asia.
Journal ArticleDOI
A method of multimedia teaching evaluation based on fuzzy linguistic concept lattice
TL;DR: A novel linguistic completing method using similarity and average difference is proposed to deal with the information missing problem, which can make the linguistic evaluation information more compact and the decision results more reasonable.
Journal ArticleDOI
Research on Blended Learning in Physical Education During the COVID-19 Pandemic: A Case Study of Chinese Students
Wei Zheng,Yu-Yu Ma,Hung-Lung Lin +2 more
TL;DR: The coronavirus virus (COVID-19) epidemic has swept the world, with the World Health Organization defining it as a pandemic on March 11, 2019 as mentioned in this paper.
Journal ArticleDOI
Designing a Teaching Assistant System for Physical Education Using Web Technology
TL;DR: In this paper, an intelligent management of physical education curriculum is designed using a Web-based teaching assistant system, which provides convenience for teachers and students of health and physical education, and the experimental results show that the system has comprehensive functions, fast processing speed, and low energy consumption.
Journal ArticleDOI
Design and Implementation of Web Multimedia Teaching Evaluation System Based on Artificial Intelligence and jQuery
TL;DR: Wang et al. as mentioned in this paper developed a web-based multimedia teaching equipment management system based on artificial intelligence and jQuery, which realizes the centralized control and management of various multimedia teaching pieces of equipment.
References
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Journal ArticleDOI
Error control and concealment for video communication: a review
Yao Wang,Qin-Fan Zhu +1 more
TL;DR: In this paper, a review of error control and concealment in video communication is presented, which are described in three categories according to the roles that the encoder and decoder play in the underlying approaches.
Proceedings ArticleDOI
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
TL;DR: Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques and achieves improved expressive power and direct manipulation of the desired shapes yet the performance associated with traditionalshape interpolation is achievable.
Journal ArticleDOI
Modeling by example
Thomas Funkhouser,Michael Kazhdan,Philip Shilane,Patrick Min,William Kiefer,Ayellet Tal,Szymon Rusinkiewicz,David P. Dobkin +7 more
TL;DR: This paper provides methods with which a user can search a large database of 3D meshes to find parts of interest, cut the desired parts out of the meshes with intelligent scissoring, and composite them together in different ways to form new objects.
Journal ArticleDOI
Secure Medical Data Transmission Model for IoT-Based Healthcare Systems
Mohamed Elhoseny,Gustavo Ramirez-Gonzalez,Osama Abu-Elnasr,Shihab A. Shawkat,N. Arunkumar,Ahmed Farouk +5 more
TL;DR: The proposed hybrid security model for securing the diagnostic text data in medical images proved its ability to hide the confidential patient’s data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.
Journal ArticleDOI
Feature-based surface parameterization and texture mapping
TL;DR: An automatic parameterization method for segmenting a surface into patches that are then flattened with little stretch, and an image-based error measure that takes into account stretch, seams, smoothness, packing efficiency, and surface visibility is described.