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Application and Exploration of Artificial Intelligence and Edge Computing in Long-Distance Education on Mobile Network
Mobile Networks and Applications ( IF 2.3 ) Pub Date : 2021-05-01 , DOI: 10.1007/s11036-021-01773-x
Changbo Hou , Lijie Hua , Yun Lin , Jing Zhang , Guowei Liu , Yihan Xiao

In response to the demand for high-quality electronic information talents in the mobile network industry, in the situation of artificial intelligence (AI) to promote technological innovation, this paper conducts an overall design in the target system, curriculum system, teaching platform, teaching mode and teaching case. The practice education mode of teaching practice, engineering practice, innovation practice, and enterprise practice, which aims to improve students’ ability to solve complex engineering problems, is constructed. The mode breaks geographical boundaries between schools and enterprises to build the through-through experimental teaching course system based on artificial intelligence and edge computing and design a medical image intelligent analysis system project case based on Mobile Edge Computing (MEC), which improves students’ practical ability, engineering design ability, scientific research innovation ability, enterprise practice ability and mobile network application capabilities. At the same time, the hardware portability of the edge computing platform provides good conditions for long-distance education and the mobile network. This method is a beneficial attempt to cultivate high-level, diversified, and creative electronic information talents.



中文翻译:

人工智能和边缘计算在移动网络远程教育中的应用与探索

针对移动网络行业对高素质电子信息人才的需求,在人工智能(AI)推动技术创新的情况下,本文对目标系统,课程体系,教学平台,教学进行了总体设计。模式和教学案例。构建了教学实践,工程实践,创新实践和企业实践的实践教育模式,旨在提高学生解决复杂工程问题的能力。该模式打破了学校和企业之间的地域界限,构建了基于人工智能和边缘计算的直通实验教学课程系统,并设计了基于移动边缘计算(MEC)的医学图像智能分析系统项目案例,提高了学生的实践能力,工程设计能力,科研创新能力,企业实践能力和移动网络应用能力。同时,边缘计算平台的硬件可移植性为远程教育和移动网络提供了良好的条件。这种方法是培养高水平,多样化和创新性的电子信息人才的有益尝试。

更新日期:2021-05-02
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