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相关概念视频

Types Of Transformers01:16

Types Of Transformers

977
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...
977
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

157
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...
157
Energy Losses in Transformers01:21

Energy Losses in Transformers

876
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...
876
The Ideal Transformer01:26

The Ideal Transformer

395
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...
395
Transformers in Distribution System01:27

Transformers in Distribution System

103
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...
103
Three-Winding Transformers01:19

Three-Winding Transformers

228
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
228

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Updated: Jul 5, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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轻量级变压器模型用于移动应用程序分类

Minju Gwak1, Jeongwon Cha1, Hosun Yoon2

  • 1Department of Computer Engineering, Changwon National University, Changwon 51140, Republic of Korea.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
概括
此摘要是机器生成的。

一个新的轻量级变压器模型准确地使用加密的网络流量对应用程序进行分类. 这使得虚拟现实 (VR) 和增强现实 (AR) 等实时应用程序的差异化服务具有高精度.

关键词:
应用程序分类应用程序分类深度学习是一种深度学习.变压器模型变压器模型无线网络,无线LAN.

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科学领域:

  • 计算机科学 计算机科学
  • 网络工程 网络工程
  • 机器学习 机器学习

背景情况:

  • 像虚拟现实 (VR) 和增强现实 (AR) 等现实的服务需要高可靠性,低延迟的网络传输.
  • 当前的网络基础设施可能无法充分支持这些先进应用程序的确定性要求.
  • 基于加密数据的应用程序分类对于保护用户隐私至关重要,同时可以实现差异化服务提供.

研究的目的:

  • 开发一种强大的方法来对应用程序进行分类,仅使用加密的网络有效负载数据.
  • 为此分类任务提出和评估一个轻量级的变压器模型.
  • 将拟议模型的性能与1D-CNN和ET-BERT等现有方法进行比较.

主要方法:

  • 从四个流行的应用程序中收集和预处理网络流量数据.
  • 提取加密的应用数据作为机器学习模型的输入.
  • 设计并实施了一种轻量级的变压器模型,包括一个编码器,全球平均池和密集层.
  • 通过严格的性能评估,优化模型超参数.
  • 他将变压器模型与1D-CNN和ET-BERT进行了比较.

主要成果:

  • 拟议的变压器模型实现了96%的分类精度和95%的F1得分.
  • 与ET-BERT相比,该模型显示出更高的分类性能.
  • 虽然具有比1D-CNN更高的时间复杂性,但变压器模型提供了更好的应用分类准确性.
  • 变压器模型的时间复杂性低于ET-BERT,并提高了分类性能.

结论:

  • 轻量级变压器模型有效地根据加密的网络有效负载对应用程序进行分类,解决隐私问题.
  • 这种方法可以提供对要求高的实时应用程序至关重要的差异化网络服务.
  • 拟议的模型为提高新兴技术的网络性能和服务质量提供了一个有希望的解决方案.