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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

624
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...
624
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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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Turbulent Flow: Problem Solving01:09

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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
96
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Singularity Functions for Shear01:26

Singularity Functions for Shear

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In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous  variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the...
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相关实验视频

Updated: Jun 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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一个增强的鱼优化算法用于边缘计算环境中的任务调度.

Li Han1, Shuaijie Zhu1, Haoyang Zhao1

  • 1College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China.

Frontiers in big data
|November 14, 2024
PubMed
概括
此摘要是机器生成的。

增强的鱼优化算法 (EWOA) 优化了边缘计算中的任务调度,降低了成本和完成时间,同时改善了对要求高的应用程序的资源利用率.

关键词:
边缘计算是一种边缘计算.多目标优化多目标优化在边缘计算中的优化.任务安排任务安排.鱼优化算法 鱼优化算法

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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
  • 分布式计算 (Distributed Computing) 是一种分布式计算.

背景情况:

  • 移动设备和计算密集型应用程序产生大量数据,压迫边缘计算资源.
  • 边缘环境中的实时任务执行面临着由于资源有限和要求高的应用程序的挑战.

研究的目的:

  • 提出一个增强的鱼优化算法 (EWOA),用于边缘计算中的高效任务调度.
  • 开发一个优化CPU,内存,时间和资源利用的多目标模型.

主要方法:

  • 开发了边缘计算的多目标任务调度模型.
  • 将模型转化为鱼优化问题,使用混乱映射来进行种群初始化和非线性收因子来搜索平衡.
  • 在实验边缘计算环境中对ODTS,WOA,HWACO和CATSA进行了EWOA性能评估.

主要成果:

  • EWOA将运营成本降低了29.22%.
  • EWOA将任务完成时间减少了17.04%.
  • 通过EWOA,节点资源利用率提高了9.5%.

结论:

  • EWOA在边缘计算任务调度的成本,时间和资源利用方面取得了显著的改进.
  • 限制包括不考虑网络延迟和用户流动性.
  • 未来的工作将探索耐故障调度,以满足动态用户需求和提高服务质量.