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

Reinforcement Schedules01:24

Reinforcement Schedules

241
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
241
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

731
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...
731
Reinforcement01:23

Reinforcement

341
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
341
Observational Learning01:12

Observational Learning

311
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
311
Feedback control systems01:26

Feedback control systems

419
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
419
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.9K
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...
1.9K

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

Eddy current measurements of dielectric coating thickness on a weakly magnetic substrate within the medium frequency range.

PloS one·2026
Same author

Corrigendum to "A secure data transmission framework for IoT enabled healthcare" [Heliyon Volume 10, Issue 16, August 2024, Article e36269].

Heliyon·2025
Same author

A novel framework for secure cryptocurrency transactions using quantum crypto guard.

PeerJ. Computer science·2025
Same author

Stochastic modelling of delays and buffering in 5G-IoT ecosystems with programmable P4 switches based on BMAP.

PloS one·2025
Same author

Adaptive information-constrained mapping for feature compression in edge AI and federated systems.

Scientific reports·2025
Same author

Retraction Note: Investigation of the competitive nature of eMBB and mMTC 5G services in conditions of limited communication resource.

Scientific reports·2025
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

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

658

使用强化学习的边缘物联网中分散的队列控制与延迟转移

Viacheslav Kovtun1

  • 1Vinnytsia National Technical University, Vinnytsia, Ukraine. kovtun_v_v@vntu.edu.ua.

Scientific reports
|August 22, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了边缘物联网系统的适应模型,以有效地管理请求服务. 它通过动态调整处理时间来提高服务质量 (QoS) 和能源效率,即使流量不稳定.

更多相关视频

Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

21.0K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.2K

相关实验视频

Last Updated: Sep 10, 2025

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

658
Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

21.0K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.2K

科学领域:

  • 计算机科学
  • 电气工程
  • 应用数学

背景情况:

  • 边缘物联网系统面临着越来越高的能源效率,响应能力和自我调节的挑战.
  • 边缘网络的不稳定交通条件需要适应性服务管理策略.
  • 现有的模型往往缺乏灵活性来处理动态质量和能源管理要求.

研究的目的:

  • 在边缘物联网系统的外围节点中开发适应式方法来建模和管理请求服务流程.
  • 在波动的交通条件下提高能源效率,响应能力和自我调节.
  • 为动态质量和能源管理提供可扩展和流量类型无关的解决方案.

主要方法:

  • 建议使用参数化时间转移的随机G/G/1模型来解释设备的不可用性.
  • 服务质量 (QoS) 指标的分析表达式 (延迟,可变性,损失,能源消耗) 被导出为转移参数的函数.
  • 基于深度Q网络 (DQN) 的强化学习代理用于分散的实时控制转移参数.

主要成果:

  • 与最先进的模型相比,平均延迟减少了17-26%
  • 实现了服务时间的波动减少,并在峰值负载后改善了队列恢复稳定性.
  • 拟议的解决方案不依赖于流量类型,并且可以跨多种边缘架构进行扩展.

结论:

  • 适应性方法有效地模拟和管理边缘物联网系统中的服务流程,提高质量和能源效率.
  • 基于DQN的代理提供动态,分散的控制,适应实时队列状态.
  • 这些发现适用于传感器网络,5G/6G边缘场景以及需要动态质量和能源管理的系统.