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相关概念视频

Distributed Loads: Problem Solving01:21

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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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Distributed Loads01:19

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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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As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system. 
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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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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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Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在移动人群传感中使用D3QNN进行动态任务分配框架.

Yanming Fu1, Yuming Shen1, Liang Tang1

  • 1School of Computer and Electronic Information, Guangxi University, No. 100, University East Road, Nanning 530004, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

移动人群传感 (MCS) 使用智能设备进行数据收集. 一种新的深度强化学习方法改善了任务分配,提高了平台利和任务完成率.

关键词:
深度强化学习 (DRL) 是一种深度强化学习.双深Q网络 (D3QN) 是一个双深Q网络.决斗 DQN 的时间动态任务分配 动态任务分配移动人群传感 (MCS) 是一种移动人群传感技术.这是一个多重目标的多重目标.

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科学领域:

  • 计算机科学 计算机科学
  • 移动计算 移动计算
  • 人工智能的人工智能

背景情况:

  • 移动人群传感 (MCS) 利用智能设备进行大规模数据收集.
  • 有效的任务分配对于MCS系统性能至关重要.
  • 传统方法与MCS任务分配的动态,多限制性质作斗争.

研究的目的:

  • 为MCS系统开发一个更有效的任务分配解决方案.
  • 在动态的MCS环境中解决贪和启发式方法的局限性.
  • 优化多个目标,包括平台利和参与者满意度.

主要方法:

  • 使用深度强化学习,特别是双重深度Q网络 (D3QN) 与决斗架构.
  • 开发了一个加权的方法来优化多个目标.
  • 模拟这个问题作为一个动态的任务分配问题,在诸如旅行距离,奖励和任务到达等约束下.

主要成果:

  • 提出的基于D3QN的解决方案显著超过了标准基线解决方案.
  • 在平台利和任务完成率方面取得了明显的改善.
  • 提高了MCS平台的整体实用性和吸引力.

结论:

  • 深度强化学习为复杂的MCS任务分配提供了强大的解决方案.
  • D3QN方法有效地处理MCS中的动态和多目标优化.
  • 这些发现表明,MCS平台的更可持续,更有利可图的模式.