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相关概念视频

Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

86
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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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Carrier Transport01:21

Carrier Transport

439
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
439

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相关实验视频

Updated: Jul 1, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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支持 LiFi 的无人机群网络.

Ahmet Burak Ozyurt, Ilenia Tinnirello, Wasiu O Popoola

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    此摘要是机器生成的。

    光效率 (LiFi) 通过提高通信可靠性和减少延迟来增强无人机 (UAV) 群网络. 这种LiFi系统满足超可靠的低延迟通信要求,即使在低信号噪声比.

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    科学领域:

    • 无线通信系统无线通信系统
    • 空中网络 空中网络
    • 光学无线通信的无线通信

    背景情况:

    • 传统的基于射频 (RF) 的无人机 (UAV) 群网络在实现空中中继应用的及时和可靠通信方面面临着挑战.
    • 现有的射频解决方案难以满足超可靠和低延迟通信 (URLLC) 的严格要求.

    研究的目的:

    • 调查Light Fidelity (LiFi) 的整合,作为无人机群通信的补充无线系统.
    • 通过分析推导和评估支持LiFi的无人机群的性能,重点关注可靠性,吞吐量和延迟.

    主要方法:

    • 使用切比舍夫近似的平均块错误概率 (ABEP) 的分析推导,包括下限和上限.
    • 开发了关键性能指标 (可靠性,吞吐量,延迟) 的表达式,作为衍生的ABEP的函数.
    • 数值分析探讨了诸如块长度,数据包大小,无人机之间的距离,信号噪声比 (SNR) 和发光二极管 (LED) 半角等参数的影响.

    主要成果:

    • 拟议的LiFi系统成功地满足了超可靠 (99.99%) 和低延迟 (亚毫秒) 通信 (URLLC) 的严格要求.
    • 这些URLLC要求即使在信号噪声比 (SNR) 值较低的情况下也可以实现.
    • 该研究量化了各种操作参数对系统性能的影响.

    结论:

    • 在无人机群体中,LiFi提供了一个有前途的解决方案,以克服基于射频通信的局限性.
    • 这些发现证明了LiFi的可行性,用于支持空中网络中的关键URLLC应用程序.
    • 对系统参数的进一步探索为优化在无人机群中的LiFi部署提供了洞察力.