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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...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
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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 the...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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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...
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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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在无人机辅助边缘计算中,受约束的软行为体对联合计算卸载和资源分配至关重要.

Nawazish Muhammad Alvi1, Waqas Muhammad Alvi1, Xiaolong Zhou1

  • 1Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Xitucheng Road No. 10, Beijing 100876, China.

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

约束强化学习有效地管理无人机 (UAV) 辅助边缘计算. 拟议的受约束软行为者-关键 (C-SAC) 算法显著减少延迟违规,同时适应道条件.

关键词:
马尔科夫决策过程无人机辅助的边缘计算计算卸载卸载 计算卸载有限制的强化学习学习.延迟限制 延迟限制资源分配的资源分配.

相关实验视频

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

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 无线通信无线通信

背景情况:

  • 无人驾驶飞行器 (UAV) 辅助的边缘计算对于延迟敏感的应用程序至关重要.
  • 在严格的延迟和随机通道条件下,优化资源配置是一个重大挑战.

研究的目的:

  • 在无人机辅助边缘计算中解决联合计算分区和功率分配问题.
  • 开发一个强大的算法,明确模拟并满足延迟约束.

主要方法:

  • 制定了这个问题作为一个受约束的马尔科夫决策过程 (CMDP).
  • 拟议的受约束软行为者-批判性 (C-SAC),一个深度强化学习算法,将最大率政策优化与拉格朗的双重方法相结合.
  • 使用专用约束批评网络和自适应拉格朗奇乘法器.

主要成果:

  • C-SAC实现了18.9%的约束违规率,这与现有方法相比是显著的改进.
  • 展示了强大的频道适应性政策,局部计算比率与频道质量之间的相关性为-0.894.
  • 展示了强大的性能,即使在三倍的频道变化率下,违规率的增加也是最小的.

结论:

  • 约束强化学习是可靠无人机边缘计算的可行方法.
  • 在没有手动调的情况下,C-SAC有效地平衡了能源效率和延迟满意度.
  • 该算法确保在动态环境中满足严格的服务质量要求.