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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

102
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...
102
Types Of Transformers01:16

Types Of Transformers

971
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...
971
The Ideal Transformer01:26

The Ideal Transformer

381
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...
381
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

151
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...
151
Energy Losses in Transformers01:21

Energy Losses in Transformers

866
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
866

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Updated: Jun 28, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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揭示了基于扩散模型的框架与变压器的潜力,用于高光谱图像分类.

Neetu Sigger1, Quoc-Tuan Vien2, Sinh Van Nguyen3

  • 1School of Computing, The University of Buckingham, Buckingham, MK181EG, UK.

Scientific reports
|April 10, 2024
PubMed
概括

DiffSpectralNet通过结合扩散和变压器模型来增强高光谱图像分类. 这种新的方法有效地提取了光谱空间特征,显著优于现有的方法来改进遥感分析.

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科学领域:

  • 遥感 遥感 遥感 遥感
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 超光谱成像 (HSI) 对于农业和医学分析至关重要.
  • 现有的HSI模型与光谱空间数据复杂性和冗余性作斗争.
  • 需要先进的方法来提高HSI分类的准确性.

研究的目的:

  • 介绍DiffSpectralNet,一种用于高光谱图像分类的新方法.
  • 为了利用扩散和变压器技术来增强光谱空间特征提取.
  • 在HSI分类中实现最先进的性能.

主要方法:

  • 一个无监督的扩散模型框架被训练为高层和低层的光谱空间特征提取.
  • 从不同的时间中提取中间层次特征,使用预先训练好的U-Net.
  • 在最终的HSI分类中使用了基于变压器的监督分类器.

主要成果:

  • DiffSpectralNet显著优于现有的HSI分类方法.
  • 拟议的框架在三个公共数据集中实现了最先进的性能.
  • 该方法在各种类别和数据集中证明了稳定性和可靠性.

结论:

  • DiffSpectralNet为高光谱图像分类提供了一个强大而有效的解决方案.
  • 扩散和变压器模型的组合解决了光谱空间数据分析的局限性.
  • 该方法显示出在农业,医学和遥感领域推进应用的巨大潜力.