Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Short-distance Transport of Resources02:12

Short-distance Transport of Resources

14.5K
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.
14.5K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.6K
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
1.6K
Distributed Loads01:19

Distributed Loads

1.1K
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...
1.1K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
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...
1.3K
Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

4.8K
When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
4.8K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

961
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
961

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multi-Agent Deep Reinforcement Learning Based Dynamic Task Offloading in a Device-to-Device Mobile-Edge Computing Network to Minimize Average Task Delay with Deadline Constraints.

Sensors (Basel, Switzerland)·2024
Same author

Two-Tier Efficient QoE Optimization for Partitioning and Resource Allocation in UAV-Assisted MEC.

Sensors (Basel, Switzerland)·2024
Same author

Differential gene expression in ovaries of Qira black sheep and Hetian sheep using RNA-Seq technique.

PloS one·2015
Same author

[Effect of anisodamine on myocardial connexin 43 expression in pig after resuscitation from cardiac arrest].

Zhonghua wei zhong bing ji jiu yi xue·2015
Same author

Corpus callosum atrophy associated with the degree of cognitive decline in patients with Alzheimer's dementia or mild cognitive impairment: a meta-analysis of the region of interest structural imaging studies.

Journal of psychiatric research·2015
Same author

Evaluation of rosuvastatin as an organic anion transporting polypeptide (OATP) probe substrate: in vitro transport and in vivo disposition in cynomolgus monkeys.

The Journal of pharmacology and experimental therapeutics·2015
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 1, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.3K

一个多代理RL算法用于D2D-MEC网络中的动态任务卸载与能量收集.

Xin Mi1, Huaiwen He1, Hong Shen2

  • 1School of Computer, Zhongshan Institute, University of Electronic Science and Technology of China, Zhognshan 528400, China.

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

这项研究引入了设备对设备辅助移动边缘计算 (D2D-MEC) 的新方案,以尽量减少任务延迟. 多代理深度强化学习算法 (MAOC) 动态地管理能量收集设备的任务卸载和CPU频率.

关键词:
D2D 通信 D2D 通信在MECMEC中,MEC是MEC.动态任务卸载 动态任务卸载能源采集 能源采集多种代理强化学习的多种代理强化学习

更多相关视频

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

541

相关实验视频

Last Updated: May 1, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.3K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.7K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

541

科学领域:

  • 移动边缘计算 移动边缘计算
  • 无线通信无线通信
  • 人工智能的人工智能

背景情况:

  • 在D2D-MEC系统中,对延迟敏感的任务卸载面临来自动态边缘负载和可变能量收集的挑战.
  • 具有不同处理和传输速度的多槽任务增加了D2D-MEC系统的复杂性.

研究的目的:

  • 为D2D-MEC系统中的延迟敏感任务提出一个联合的动态任务卸载和CPU频率控制方案.
  • 通过解决多槽任务和能量收获的复杂性来优化平均任务延迟.

主要方法:

  • 使用队列系统建模任务到达和服务流程.
  • 使用设备对设备 (D2D) 通信来减少边缘服务器负载并防止网络拥堵.
  • 公式平均任务延迟优化作为一个非线性整数编程问题.
  • 开发基于MAPPO的多代理深度强化学习 (DRL) 算法 (MAOC),用于动态决策.

主要成果:

  • 运行在具有分散执行 (CTDE) 框架的集中训练下,MAOC算法有效地最大限度地减少了平均任务延迟.
  • 实验结果显示,拟议的MAOC算法的快速融合和高操作效率.
  • 在延迟敏感任务卸载场景中,MAOC的性能优于现有的基线算法.

结论:

  • 拟议的联合动态任务卸载和CPU频率控制方案大大提高了D2D-MEC系统的性能.
  • 在边缘计算环境中,MAOC算法为管理复杂任务卸载和资源分配提供了高效和有效的解决方案.
  • 这项研究有助于推进移动边缘计算中的智能资源管理,以增强用户体验.