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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

97
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
97
Fast Fourier Transform01:10

Fast Fourier Transform

226
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
226
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

139
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
139
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

122
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
122
Types Of Transformers01:16

Types Of Transformers

934
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
934
The Ideal Transformer01:26

The Ideal Transformer

322
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
322

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相关实验视频

Updated: May 14, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

322

一个新的基于深度学习的快速转码,用于物联网应用程序.

Jia Yang1,2, Yonghong Peng3, Linbo Qing4

  • 1College of Communication Engineering, Chengdu University of Information Technology, Chengdu, 610225, China. yangjia@cuit.edu.cn.

Scientific reports
|May 10, 2025
PubMed
概括

本研究介绍了一种深度学习算法,用于在分布式视频编码 (DVC) 和高效视频编码 (HEVC) 之间快速转码. 它显著降低了低功耗物联网视频通信的HEVC编码复杂性.

关键词:
深度学习是一种深度学习.分布式视频编码分布式视频编码高效率的视频编码.物联网的物联网,就是物联网.低功耗的视频编码.转码转码 转码转码是什么意思

更多相关视频

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

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Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

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相关实验视频

Last Updated: May 14, 2025

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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Deep Neural Networks for Image-Based Dietary Assessment
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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
  • 信号处理 信号处理

背景情况:

  • 物联网 (IoT) 设备需要高效的视频通信.
  • 现有的DVC和HEVC之间的转码方法可能是计算密集的.
  • 低功耗解决方案对于资源有限的物联网终端至关重要.

研究的目的:

  • 开发基于深度学习的快速转码算法,从DVC转换为HEVC.
  • 为了尽量减少HEVC编码的复杂性,用于低功耗的视频通信.
  • 为了提高物联网应用程序的视频编码的效率.

主要方法:

  • 一个新的轻量级深度学习网络被设计用于分类任务.
  • 网络模型编码单元 (CU) 分区和预测单元 (PU) 分区模式选择.
  • 在CU和PU两级实施了自上而下的转码策略.

主要成果:

  • 在CU级的转码将复杂度降低了45.69%,BD-BR增加了1.33%.
  • 在PU级转码实现了60.97%的复杂性降低,BD-BR增加了2.16%.
  • 该算法有效地平衡了计算成本和压缩性能.

结论:

  • 拟议的深度学习算法提供了从DVC到HEVC的高效转码.
  • 它为物联网设备提供了一个有前途的低功耗视频编码解决方案.
  • 该方法适用于限制环境中的上游和下游视频通信.