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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

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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...
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Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
266
Maximum Power Transfer01:16

Maximum Power Transfer

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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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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Rapidly Varying Flow01:24

Rapidly Varying Flow

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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
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相关实验视频

Updated: Jul 27, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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在5G传感器网络设备中优化视觉物联网用于视频流增强.

Anil Kumar Budati1, Shayla Islam1, Mohammad Kamrul Hasan2

  • 1Institute of Computer Science & Digital Innovations, UCSI University, Kuala Lumpur 56000, Malaysia.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

本研究引入了视觉物联网 (VIoT) 视频传输的新框架,通过使用KNN-H.265协议减少数据包丢失和提高吞吐量来提高体验质量 (QoE).

关键词:
5G网络中的5G网络.物联网的视觉互联网.视频压缩的压缩方法视频流媒体视频流.视觉传感器 视觉传感器视觉传感器

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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
  • 网络化 网络化 网络化

背景情况:

  • 视觉物联网 (VIoT) 部署面临诸如勾结和缓冲延迟等挑战,原因是数据包丢失和网络拥堵.
  • 现有研究强调了数据包丢失对各种应用程序的体验质量 (QoE) 的影响.

研究的目的:

  • 为VIoT系统提出一种新的无损视频传输框架.
  • 解决VIoT网络应用中的数据包丢失和网络拥堵问题.
  • 提高视频视频通信中的体验质量 (QoE).

主要方法:

  • 开发了一个新的框架,将K-Nearest Neighbors (KNN) 分类器与H.265视频压缩协议集成在一起.
  • 该框架在拥挤条件下通过无线传感器网络传输加密静态图像进行了测试.
  • 在 MATLAB 2018a.中使用像数,延迟,吞吐量,数据包丢失比率和峰值信号对噪声比率 (PSNR) 等指标来评估性能.

主要成果:

  • 拟议的KNN-H.265协议与传统的H.264和H.265协议相比显示出更高的性能.
  • 新的框架实现了比现有方法高出4%和6%的峰值信号与噪声比率 (PSNR) 值.
  • 通过拟议的VIoT视频传输框架观察到更好的吞吐量.

结论:

  • 拟议的KNN-H.265框架有效地减少了VIoT视频对话中的数据包丢失.
  • 这种方法为VIoT应用提供了显著的视频传输质量和效率的改善.
  • 该研究提供了一种可行的解决方案,用于在拥挤的VIoT网络中增强QoE.