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相关概念视频

Power and Energy01:12

Power and Energy

2.1K
The power and energy delivered to an element are subjects of great significance in the field of electrical engineering. It is a well-known fact that a 100-watt light bulb emits more light than a 60-watt one. Therefore, power and energy calculations play a crucial role in the analysis of electrical circuits.
Power, defined as the time rate of expending or absorbing energy, is quantified in units called watts (W). The relation between power and energy is mathematically given as
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Energy and Power Signals01:17

Energy and Power Signals

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In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
1.2K
Energy and Power of a Wave00:58

Energy and Power of a Wave

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The total energy associated with a wavelength is the sum of the potential energy and the kinetic energy. The average rate of energy transfer associated with a wave is called its power, which is total energy divided by the time it takes to transfer the energy. For a sinusoidal wave, energy and power are proportional to the square of both the amplitude and the angular frequency.
Waves can also be concentrated or spread out, as characterized by the intensity of the wave. Intensity is directly...
5.0K
Communication01:03

Communication

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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Communication01:28

Communication

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Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
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Nuclear Power02:36

Nuclear Power

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Controlled nuclear fission reactions are used to generate electricity. Any nuclear reactor that produces power via the fission of uranium or plutonium by bombardment with neutrons has six components: nuclear fuel consisting of fissionable material, a nuclear moderator, a neutron source, control rods, reactor coolant, and a shield and containment system.
Nuclear Fuels
Nuclear fuel consists of a fissile isotope, such as uranium-235, which must be present in sufficient quantity to provide a...
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相关实验视频

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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对于无线电源通信网络的DQN授权的能源优化.

Huajun Chen1, Xiaoye Wang2, Lina Yuan3

  • 1School of Data Science, Tongren University, Tongren, 554300, Guizhou, China.

Scientific reports
|February 9, 2026
PubMed
概括

本研究介绍了用于无线供电通信网络 (WPCN) 的深度Q网络 (DQN) 方案,以改善可持续物联网设备的能源采集和资源管理.

关键词:
深度 Q 网络动态能量分配的动态能量分配马尔科夫决策过程非线性能源模型的非线性能源模型.Q学习算法Q学习算法无线电源通信网络提供无线电源.

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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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科学领域:

  • 无线通信网络是无线通信网络.
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.
  • 可持续的能源系统可持续的能源系统

背景情况:

  • 无线供电通信网络 (WPCN) 对于供电物联网 (IoT) 设备至关重要.
  • 在WPCN中现有的能量采集模型经常使用线性近似,导致由于非线性射频到直流 (RF-DC) 转换和导致的不准确性.
  • 动态资源管理对于优化WPCN的性能和寿命至关重要.

研究的目的:

  • 为WPCNs提出一个深度Q网络 (DQN) 赋权的动态资源协作管理方案.
  • 解决传统的线性能源采集模型的局限性,通过整合一个零碎的非线性采集模型.
  • 使用马尔科夫决策过程 (MDP) 框架,最大限度地提高网络效用,同时平衡能源效率和公平性.

主要方法:

  • 在马尔科夫决策过程 (MDP) 框架内制定了一个多目标分配问题.
  • 采用零碎的非线性能量采集模型来准确捕捉射频到直流 (RF-DC) 转换效应.
  • 集成高斯过程回归 (GPR) 用于在闭环优化系统中的能源收获预测.
  • 为Q学习和对能量队列错误的利亚普诺夫稳定性分析提供了理论收证明.

主要成果:

  • 网络寿命延长了56.4% (117到183轮).
  • 能源分配标准偏差减少了56.8% (从23.7mJ降至12.3mJ).
  • 接近速度提高了53.1% (150比320集),动态适应能力提高了66.7% (5比15轮).
  • 网络吞吐量增加了33.33% (80比60Mbps).

结论:

  • 拟议的DQN授权计划显著提高了WPCN的性能和可持续性.
  • 非线性收获模型和MDP框架为资源管理提供了更准确,更有效的方法.
  • 这些发现支持为未来的物联网应用大规模部署WPCN.