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相关概念视频

Short-distance Transport of Resources02:12

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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.
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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...
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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.
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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.
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Reinforcement01:23

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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.
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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?
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在车辆物联网网络中的优先意识频谱管理的轻量级增强学习.

Adeel Iqbal1, Ali Nauman1, Tahir Khurshaid2

  • 1School of Computer Science and Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.

Sensors (Basel, Switzerland)
|November 13, 2025
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概括
此摘要是机器生成的。

本研究介绍了用于车辆物联网 (V-IoT) 频谱管理的轻量增强学习. 像VPADQ-C和Q-UCB这样的拟议方法显著提高了能源效率,减少了延迟,并提高了智能运输系统的可靠性.

关键词:
5G是什么意思? 5G是什么意思?这就是为什么物联网是物联网物联网.马尔科夫决策过程在 QoS 系统中,QoS 是 QoS.这就是V-IoT.优先意识的频谱管理强化学习是一种强化学习.资源分配的资源分配.获得频谱的权限.

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 人工智能的人工智能

背景情况:

  • 车载物联网 (V-IoT) 对智能运输系统 (ITS) 至关重要,它支持具有严格服务质量 (QoS) 要求的多种应用程序.
  • 现有的频谱管理技术与V-IoT网络的动态性质以及诸如深度强化学习 (DRL) 等先进解决方案的计算需求作斗争.
  • 需要有效的实时频谱管理框架,适合在V-IoT中部署路边单元 (RSU).

研究的目的:

  • 为V-IoT网络提出基于强化学习 (RL) 的轻量级和可解释的频谱管理框架.
  • 引入和评估两个增强的Q-Learning变体:VPADQ-C和Q-UCB,以改善频谱分配.
  • 提供一个基线 (风险意识启发式) 来比较基于学习的方法与传统方法.

主要方法:

  • 开发了使用受约束的马尔科夫决策过程 (CMDP) 和在线初级-二元优化的价值优先行动双重Q学习与约束 (VPADQ-C).
  • 引入了上下文Q-学习与上置信界限 (Q-UCB),包括不确定性意识探索和成功率先验 (SRP).
  • 创建了一个全面的模拟框架,模拟交通,色和能量动态,以评估性能指标.

主要成果:

  • VPADQ-C显示出优越的能效 (≈8.425×10^7比特/J) 和超过60%的中断概率降低.
  • Q-UCB实现了更快的收 (≈190次),最低的阻塞概率 (≈0.0135),以及最小的平均延迟 (≈0.351 ms).
  • 这两种方法都超过了传统的Q-Learning和Double Q-Learning,保持了公平性 (≈0.364) 和吞吐量 (≈28 Mbps),具有可扩展的训练时间.

结论:

  • 拟议的基于RL的框架为V-IoT中的实时频谱管理提供了可行的解决方案.
  • 在能源效率,可靠性,融合速度和延迟方面,VPADQ-C和Q-UCB提供了明显的优势.
  • 这些框架适合大规模的V-IoT部署,在密集的车辆流量下满足URLLC级要求.