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相关概念视频

Types Of Transformers01:16

Types Of Transformers

944
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...
944
The Ideal Transformer01:26

The Ideal Transformer

344
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...
344
Transformers in Distribution System01:27

Transformers in Distribution System

98
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...
98
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

386
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
386
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

136
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...
136
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

403
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
403

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相关实验视频

Updated: May 31, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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通过卷积特征提取器块和基于矢量的相对位置嵌入来增强变压器模型,用于人类活动识别.

Xin Guo1, Young Kim1, Xueli Ning1

  • 1Department of Software Convergence, Soonchunhyang University, Asan 31538, Republic of Korea.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
概括

这项研究使用IMU传感器增强了用于人类活动识别 (HAR) 的变压器模型. 新的方法可以更好地捕捉时间相关性,从而提高HAR的性能.

关键词:
卷积神经网络 (CNN) 是一种神经网络.人类活动的认可 人类活动的认可惯性测量单位 (IMU) 是指惯性测量单位.相对位置嵌入式嵌入式时间序列信号时间序列信号.变压器模型变压器模型

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 信号处理 信号处理

背景情况:

  • 变压器模型在人类活动识别 (HAR) 中很受欢迎,因为它们能够捕捉远程依赖.
  • 现有的变压器模型很难有效地利用惯性测量单元 (IMU) 传感器数据中的复杂时间相关性.

研究的目的:

  • 通过更好地利用IMU传感器数据中的时间相关性来增强HAR的变压器模型.
  • 引入新的组件,以提高模型捕获本地和全球时间序列特征和相对位置信息的能力.

主要方法:

  • 提出了一个卷积特征提取器块 (CFEB),使用多层卷积层来捕获本地和全球时间序列特征.
  • 引入基于矢量的相对位置嵌入 (vRPE) 以更好地表示与绝对位置嵌入 (APE) 相比的时间位置相关性.
  • 在三个基准HAR数据集上对增强的变压器模型进行了评估:KU-HAR,UniMiB SHAR和USC-HAD.

主要成果:

  • 拟议的CFEB和vRPE显著提高了变压器模型在HAR任务中的性能.
  • 改进后的模型在利用IMU传感器时间序列信号中的复杂时间相关性方面表现出卓越的能力.
  • 实验结果证实,在多个HAR数据集中,性能大大提高.

结论:

  • CFEB和vRPE的整合为基于变压器的HAR提供了一个有效的增强方案.
  • 拟议的方法使变压器模型能够更好地利用来自IMU传感器数据的先验信息来改进活动分类.
  • 这项工作为使用深度学习模型推进HAR系统提供了一个有希望的方向.