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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
632
Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Transformers in Distribution System01:27

Transformers in Distribution System

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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
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相关实验视频

Updated: Jul 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在网络物理生产系统中使用边缘计算进行基于计算智能的调度.

Changqing Xia1,2,3, Xi Jin1,2,3, Chi Xu1,2,3

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.

Entropy (Basel, Switzerland)
|December 23, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于网络物理生产系统 (CPPS) 的动态资源预测调度 (DRPS) 方法. 在动态环境中,DRPS方法提高了工作安排能力和实时控制.

关键词:
这是CPPS的CPPS.边缘计算是一种边缘计算.制造业 制造业 是一个制造业.实时实时的时间.时间表编程 时间表编程

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科学领域:

  • 网络物理生产系统 (CPPS)
  • 边缘计算 边缘计算
  • 计算智能 (CI) 是指计算机智能.

背景情况:

  • 实时性能和可靠性对CPPS至关重要,需要复杂的工作车间安排 (JSP) 和资源预留的解决方案.
  • 传统的JSP方法由于不确定的传输和计算时间而难以应对动态条件.
  • 边缘计算使智能工厂中的本地化决策能够使用CI方法,解决传统方法的挑战.

研究的目的:

  • 提出基于CI的动态资源预测调度 (DRPS) 方法,用于CPPS中的实时,本地化行为级控制.
  • 为应对超低延迟和超高可靠性要求的计划意想不到的计算工作的挑战.
  • 在动态的CPPS环境中改善意想不到的工作的接受率.

主要方法:

  • 开发了一种利用计算智能 (CI) 的动态资源预测调度 (DRPS) 方法.
  • 集成了一个反向传播的神经网络,用于预测工作到达时间.
  • 基于资源分析和人机交互的实时迁移策略.

主要成果:

  • 拟议的DRPS方法证明了对意想不到的计算工作的更好的可调度性.
  • 实验结果显示,与最早的最后期限 (EDF) 计划相比,工作接受率有25.9%的改善.
  • 该DRPS方法实现实时本地化行为级别控制.

结论:

  • DRPS方法有效地处理了CPPS中的动态条件和意想不到的工作.
  • 边缘计算,结合CI和预测调度,对于实现超低延迟和高可靠性至关重要.
  • 拟议的方法提高了智能工厂运营的效率和稳定性.