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

Parallel Processing01:20

Parallel Processing

631
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...
631
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
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...
1.1K
Distributed Loads01:19

Distributed Loads

942
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...
942
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

725
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:
725
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.1K
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...
1.1K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.4K
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.
17.4K

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

Rapid neuronal labeling and functional imaging in the developing mouse brain with AAV-PHP.eB.

Cell reports methods·2026
Same author

A modified FLIT-B model of trigeminal neuralgia reveals anterior cingulate cortex involvement in anxiety-like behavior in mice.

The journal of headache and pain·2026
Same author

Targeting the 5-HT7 receptor to block influenza virus entry: mechanistic insights and therapeutic potential of SB269970 HCl.

Frontiers in microbiology·2026
Same author

Timing-specific efficacy of antiviral baloxavir and anti-inflammatory oclacitinib monotherapies, and the benefits of their combination in treating influenza in mice.

Frontiers in microbiology·2026
Same author

A Novel PCB Surface Defect Detection Method Based on the GBE-YOLOv8 Model.

Micromachines·2026
Same author

A Multi-Branch Network for Integrating Spatial, Spectral, and Temporal Features in Motor Imagery EEG Classification.

Brain sciences·2025
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: Jan 15, 2026

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

1.1K

一个基于DAG的卸载策略,用于IoV中的边缘计算,具有动态并行因素调整.

Wenyang Guan1, Qi Zheng1, Xiaoqin Lian1

  • 1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了平行因子 (DPF) 算法的动态调整,用于汽车互联网 (IoV) 任务卸载. 通过在边缘计算环境中动态调整任务并行性,DPF优化了资源使用并减少了任务完成时间.

关键词:
汽车互联网的汽车互联网定向非循环图是指向的非循环图.动态调整调整的动态调整移动边缘计算移动边缘计算任务卸载 任务卸载

更多相关视频

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

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

Published on: November 26, 2019

8.5K

相关实验视频

Last Updated: Jan 15, 2026

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

1.1K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

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

Published on: November 26, 2019

8.5K

科学领域:

  • 智能运输系统 智能运输系统
  • 边缘计算是一种边缘计算.
  • 网络性能优化优化 网络性能优化

背景情况:

  • 汽车互联网 (IoV) 产生了大量的数据,这给计算资源分配带来了挑战.
  • 动态和实时 IoV 任务特征需要适应性卸载策略超越静态方法.

研究的目的:

  • 为 IoV 系统提出一个适应性的任务卸载算法.
  • 在动态 IoV 环境中优化资源利用并最大限度地减少任务完成时间.

主要方法:

  • 开发了一个动态调整并行因子 (DPF) 算法用于任务卸载.
  • 利用边缘计算来动态调整定向非循环图 (DAG) 的平行系数.
  • 实现实时监控网络条件和车辆状态,用于动态任务调度.

主要成果:

  • 与静态策略相比,DPF算法显著减少了任务延迟,并提高了任务成功率.
  • DPF提高了整体系统效率和资源利用率.
  • 实验显示出卓越的性能,特别是在高负载场景中,任务完成时间明显更好.

结论:

  • 拟议的DFF算法有效地解决了 IoV 中静态卸载的限制.
  • 对任务并行性的动态调整对于优化 IoV 系统至关重要.
  • 在智能运输中,DPF为高效可靠的任务卸载提供了一个有前途的解决方案.