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

Maximum Power Transfer01:16

Maximum Power Transfer

287
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
287
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

138
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
138
Reinforcement Schedules01:24

Reinforcement Schedules

204
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,...
204
Reducing Line Loss01:18

Reducing Line Loss

173
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
173
Reinforcement01:23

Reinforcement

277
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:
277
Observational Learning01:12

Observational Learning

210
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...
210

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

Integrating ANP32A expression with Ann Arbor stage refines prognostic stratification in extranodal NK/T-cell lymphoma.

Diagnostic pathology·2026
Same author

Preliminary investigation into the association of serum free kappa light chains with risk stratification, clonal evolution and precision therapy in multiple myeloma.

British journal of haematology·2026
Same author

Serum Cotinine-Defined Tobacco Exposure and Its Association With Stroke, Mortality, and Cognitive Outcomes: Evidence From NHANES 2003 to 2018.

Clinical therapeutics·2026
Same author

A comprehensive analysis of common cytogenetic abnormalities in multiple myeloma: from basic research to clinical applications.

Pathology·2026
Same author

<i>BTLA</i> promoter hypomethylation correlates with enhanced immune cell infiltration, favorable prognosis, and immunotherapy response in melanoma.

Journal for immunotherapy of cancer·2025
Same author

Adaptive Filtering for Channel Estimation in RIS-Assisted mmWave Systems.

Sensors (Basel, Switzerland)·2025

相关实验视频

Updated: Jul 19, 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

604

在使用深度增强学习的上联系统中对带宽和功率分配的联合优化.

Chongli Zhang1, Tiejun Lv1, Pingmu Huang2

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

本研究引入了基于联合优先级的强化学习 (JPRL) 方法,以优化无线资源分配,显著提高系统吞吐量,减少多用户系统中的干扰.

关键词:
基于优先级的联合强化学习 (JPRL)多细胞多用户系统多细胞多用户系统具有优先级的重播缓冲器.通过量通过量.上行链接 (Uplink) 是一个上行链接.

更多相关视频

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

624
Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K

相关实验视频

Last Updated: Jul 19, 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

604
Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

624
Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

11.9K

科学领域:

  • 无线通信系统无线通信系统
  • 电信领域的人工智能
  • 网络中的资源管理.

背景情况:

  • 多细胞系统中越来越多的用户会导致爆炸性干扰,降低通信质量.
  • 细胞间干扰是优化无线资源利用的一个主要挑战.
  • 现有的方法努力平衡吞吐量最大化与服务质量限制.

研究的目的:

  • 为联合优化带宽和发射功率分配提出一种新的方法.
  • 为了提高系统吞吐量,同时抑制共同通道干扰.
  • 为了保证无线网络中的服务质量 (QoS) 约束.

主要方法:

  • 开发了一种基于共同优先级的强化学习 (JPRL) 方法.
  • 将联合问题解为带宽分配和功率分配子问题.
  • 使用多代理双深Q网络 (MADDQN) 进行带宽分配,并对权力分配进行优先级的多代理深确定性政策梯度 (P-MADDPG).

主要成果:

  • 通过JPRL方法,可以证明加速模型训练.
  • 与替代方法相比,实现了优越的系统吞吐量.
  • 平均吞吐量比同质学习基准高10.4-15.5%,比遗传算法高17.3%.

结论:

  • 拟议的JPRL方法有效地优化了无线资源利用率.
  • JPRL显著提高了系统吞吐量,并减轻了干扰.
  • 这种方法为未来的无线通信系统提供了一个有希望的解决方案.