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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...
646
Distributed Loads01:19

Distributed Loads

538
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...
538
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
56
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

631
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...
631
Parallel Processing01:20

Parallel Processing

152
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
152
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

116
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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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车辆边缘计算网络中的边缘服务器的基于游戏的计算资源分配方案,考虑多种任务卸载模式.

Xiangyan Liu1, Jianhong Zheng1, Meng Zhang2

  • 1School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了车辆边缘计算网络 (VECN) 中的部分任务卸载,以改进车辆互联网 (IoV). 拟议的算法优化了多任务车辆 (TaV) 的资源分配和任务卸载比率,提高了服务质量 (QoS).

关键词:
计算资源的分配计算资源的分配准确的潜在的游戏潜力卸载战略 卸载战略车辆边缘计算网络的车辆边缘计算网络.

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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
  • 网络工程 网络工程

背景情况:

  • 新兴的车辆应用程序增加了车辆互联网 (IoV) 的负担.
  • 车辆边缘计算网络 (VECN) 通过实现部分任务卸载提供了一个解决方案.
  • 优化任务卸载比率和边缘服务器 (ES) 资源配置对于VECN至关重要.

研究的目的:

  • 提出一个新的算法,用于VECN中的多任务车辆 (TaV) 系统的计算资源分配.
  • 共同优化服务车辆 (SeV) 选择,任务卸载策略和计算资源分配.
  • 通过尽量减少处理延迟,确保TaVs的服务质量 (QoS).

主要方法:

  • 提出了一个基于最佳响应的集中式多TaV计算资源分配算法 (BR-CMCRA).
  • 服务车辆 (SeV) 根据候选SeV (CSV) 的通道收益进行选择.
  • 准确的潜在游戏 (EPG) 框架用于逐步计算资源分配以最大化收益.

主要成果:

  • BR-CMCRA算法有效地分配计算资源,并确定任务卸载比率.
  • 拟议的算法在模拟中显示了与现有的基本算法相比更高的性能.
  • 与任务处理延迟相关的实用功能确保了TaVs的增强的QoS.

结论:

  • 在VECN中部分卸载任务是管理IoV负担的可行策略.
  • 在TaV系统中,BR-CMCRA算法为资源分配和任务卸载提供了有效的解决方案.
  • 开发的方法增强了QoS,并在VECN环境中优于传统方法.