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相关概念视频

Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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相关实验视频

Updated: Jun 9, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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在无人机辅助边缘网络中为有效的联合学习提供基于贡献的资源配置.

Gang Xiong1, Jincheng Guo2

  • 1The 30th Research Institute of China Electronics Technology Group Corporation, Chengdu 610000, China.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
概括

本研究提出了一种用于使用无人机在联合学习 (FL) 中分配网络资源的新方法. 它通过优先考虑用于带宽分配的高贡献客户端来提高全球模型准确性和融合速度.

关键词:
联合学习的联合学习资源分配的资源分配.无人驾驶飞行器是一种无人驾驶飞行器.

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科学领域:

  • 无线通信网络 无线通信网络
  • 边缘计算 边缘计算
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 联合学习 (FL) 允许在不共享原始数据的情况下进行协作模式培训.
  • 将无人机 (UAV) 集成为边缘计算节点在无线网络中提出了独特的资源配置挑战.
  • 公平高效的带宽分配对于优化多层网络架构中的FL性能至关重要.

研究的目的:

  • 研究一种新的网络资源分配方法,用于云端客户端架构中的联合学习.
  • 为了解决FL客户之间的公平带宽资源分配挑战.
  • 为了提高全球FL模型的收速度和准确性.

主要方法:

  • 利用无人机作为三层无线网络中的边缘计算节点.
  • 提出了一个基于Shapley值 (SV) 的贡献计算策略,用于模型聚合权重.
  • 开发了一个客户选择和无线资源分配方法,优先考虑模型贡献,减少低贡献客户的频率.

主要成果:

  • 提出的方法显著减少了系统延迟和总能耗的15%-50%.
  • 全球模型准确度提高了0.3% (短期) 和2% (长期).
  • 通过优化对高贡献客户端的带宽分配,证明了增强的融合速度.

结论:

  • 沙普利基于价值的资源分配方法有效地解决了无人机支持的联合学习中的公平性和效率.
  • 优先考虑高贡献率客户,可以大大提高FL模型性能和系统效率.
  • 这种方法为优化复杂的无线联合学习环境中的资源管理提供了可行的解决方案.