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相关概念视频

Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...
Maximum Power Transfer01:16

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:

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相关实验视频

Updated: Jun 20, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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智能能源效率最大化无线供电无人机辅助安全传感器网络.

Fang Xu1, Xinyu Zhang1

  • 1College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种智能方法,用于提高安全无线传感器网络的能源效率,使用无线电力传输 (WPT). 该方法优化了无人机参数,以进行强大的数据收集,防止干扰.

关键词:
无人机无人机无人机是什么?下载链接下载链接下载链接下载链接能源效率是指能效的能源效率.上行链接 (Uplink) 是一个上行链接.无线供电网络的无线供电网络.

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 网络安全 网络安全

背景情况:

  • 物联网 (IoT) 设备的扩散需要节能和安全的通信解决方案.
  • 无线传感器网络 (WSN) 面临着电力管理和数据安全方面的挑战,特别是无人机 (UAV) 等移动数据收集器.
  • 无线电力传输 (WPT) 为WSN的可持续能源供应提供了一个有希望的解决方案.

研究的目的:

  • 提出一种智能方法,以最大限度地提高无人机在安全的WSN和WPT中的能源效率.
  • 增强数据传输的安全性和稳定性,防止恶意干扰.
  • 为无人机优化充电和数据传输的联合参数.

主要方法:

  • 制定一个受约束的优化问题,以共同优化充电功率,充电时间和数据传输时间.
  • 应用深度决定性政策梯度 (DDPG) 算法来训练实时参数优化行动政策.
  • 利用代码分割多重访问 (CDMA) 来提高上链通信的稳定性.

主要成果:

  • 与传统方法相比,拟议的智能方法显著提高了无人机的能源效率.
  • DDPG算法有效地以动态方式确定近最佳传输参数.
  • 该系统在恶意干扰下安全数据解码方面表现出卓越的性能.

结论:

  • 开发的智能方法为绿色和安全的无线驱动传感器网络提供了有效的战略.
  • 传输参数的动态优化对于无人机辅助WSN的能源效率至关重要.
  • 这项研究为设计可持续和安全的物联网网络提供了有价值的指南.