物联网运动信息收集和基于云计算数据平台的运动动作模拟
1Department of sports and Public Arts, Zhengzhou University of Aeronautics, Zhengzhou 450046, China.
Preventive medicine
|June 23, 2023
概括
这项研究优化了云计算数据中心带宽成本,使用了多延迟窗口的新数学模型. 它还通过强化学习和数据处理来增强体育行动模拟,以提高互动性.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 运动技术技术 运动技术
背景情况:
- 云计算和物联网 (IoT) 的进步需要不断发展的数据平台.
- 跨区域数据中心的成本效益在商业环境中至关重要.
- 目前的运动动作模拟器缺乏环境互动性.
研究的目的:
- 在云平台上优化数据中心带宽成本.
- 提高大数据传输效率.
- 提高运动动作模拟的真实性和互动性.
主要方法:
- 在多延迟窗口下开发了一种优化带宽成本的数学模型.
- 实现了延迟大数据窗口和数据传输多延迟窗口.
- 利用强化学习进行训练和设计互动体育动作模拟.
- 集成的云计算数据平台与体育信息收集.
主要成果:
- 成功优化数据中心带宽成本.
- 解决了大数据传输中的挑战.
- 在体育行动模拟中实现了增强的真实性和互动性.
- 在体育行动模拟开发方面取得了明显的进展.
结论:
- 拟议的数学模型有效地降低了数据中心带宽成本.
- 强化学习显著提高了体育行动模拟的互动性.
- 云计算平台为高级体育模拟提供了一个可行的框架.
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