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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

524
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...
524

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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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对使用卷积神经网络的低带宽环境进行物联网远程桌面协议的优化.

Hejun Wang1, Kai Deng1, Guoxin Zhong1

  • 1Institute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, China.

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概括
此摘要是机器生成的。

这项研究优化了远程桌面图像质量和带宽,使用一种基于CNN的RFB协议. 它显著减少了带宽的使用,同时提高了物联网GUI应用程序的视觉保真度.

关键词:
物联网远程桌面物联网远程桌面远程缓冲协议 远程缓冲协议图像压缩 图像压缩虚拟网络控制台 虚拟网络控制台

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科学领域:

  • 计算机科学 计算机科学
  • 图像处理 图像处理
  • 网络工程 网络工程

背景情况:

  • 远程桌面工具对于效率至关重要,但压力带宽.
  • 对于远程桌面的传统JPEG压缩会导致质量损失.
  • 深度学习提供了先进的图像压缩替代方案.

研究的目的:

  • 在远程物联网GUI场景中优化桌面图像质量和带宽.
  • 使用CNNs引入一个改进的远程缓冲器 (RFB) 协议.
  • 为了提高远程桌面图像处理中的视觉感知.

主要方法:

  • 开发了一个优化的RFB协议,结合了卷积神经网络 (CNN) 图像压缩算法.
  • 专注于用于桌面图像处理的人类视觉感知.
  • 对未经优化的RFB协议进行性能评估.

主要成果:

  • 与未优化的RFB相比,实现了30%-80%的带宽节省.
  • 使用PSNR和MS-SSIM指标,证明了远程桌面图像质量的提升.
  • 提供卓越的桌面图像传输质量.

结论:

  • 基于CNN的优化RFB协议可以大大降低带宽.
  • 拟议的方法可以改善远程桌面应用程序的图像质量指标.
  • 这种方法提高了远程物联网GUI系统的效率和用户体验.