Jove
Visualize
联系我们

相关概念视频

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
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.5K
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
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
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

10.4K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
10.4K
Optimal Foraging00:48

Optimal Foraging

13.4K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.4K

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 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
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

相关实验视频

Updated: Jan 7, 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

基于自适应强化学习的框架,用于在雾云环境中节能任务卸载.

Branka Mikavica1, Aleksandra Kostic-Ljubisavljevic1

  • 1Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11010 Belgrade, Serbia.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了基于Q学习的自适应式能源意识任务卸载 (AQETO),用于管理雾云网络中物联网 (IoT) 设备的能源消耗. AQETO优化了任务卸载,以减少能源使用,并最大限度地减少时间敏感应用程序的延迟.

关键词:
物联网的物联网,就是物联网.延迟优化优化延迟优化能源效率是指能效的能源效率.雾计算 雾计算 雾计算强化学习是一种强化学习.资源分配的资源分配.任务卸载 任务卸载

相关实验视频

Last Updated: Jan 7, 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

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:

  • 物联网 (IoT) 设备的普及增加了计算需求,导致雾云环境中的能源消耗问题显著增加.
  • 节能任务卸载对于资源有限的物联网设备上的时间敏感任务至关重要.

研究的目的:

  • 提出一种基于强化学习的新框架,基于自适应Q学习的能源意识任务卸载 (AQETO),用于雾云网络中的动态能源管理.
  • 解决对时间敏感的物联网任务节能任务卸载的挑战,同时考虑延迟容忍和截止日期要求.

主要方法:

  • AQETO使用基于工作负载波动的Q学习动态确定雾节能状态.
  • 该框架优先分配紧急任务,以尽量减少处理延迟.
  • 计算资源的分配是考虑到物联网任务延迟容忍度和截止日期满意度.

主要成果:

  • 在雾节点中,AQETO有效地降低了能源消耗.
  • 拟议的框架大大减少了任务延迟.
  • 通过优化资源配置和任务优先级来最大限度地提高系统效率.

结论:

  • 在雾云环境中,AQETO为节能任务卸载提供了有效的解决方案.
  • 该框架成功地平衡了能源消耗,任务延迟和系统效率.
  • 强化学习,特别是Q学习,是物联网网络中动态资源管理的可行方法.