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相关概念视频

Types Of Transformers01:16

Types Of Transformers

978
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...
978
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
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
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

206
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
206
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

397
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...
397

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相关实验视频

Updated: Jul 6, 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

Published on: April 21, 2023

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变压器G2G:使用变压器学习时间图嵌入的自适应时间步骤.

Alan John Varghese1, Aniruddha Bora2, Mengjia Xu3

  • 1School of Engineering, Brown University, Providence, RI 02912, USA.

Neural networks : the official journal of the International Neural Network Society
|December 30, 2023
PubMed
概括
此摘要是机器生成的。

变压器G2G通过使用变压器编码器来捕获远程时间依赖来增强动态图嵌入. 这种模型可以提高链接预测的准确性和计算效率,特别是在新的图形结构中.

关键词:
动态图表的动态图表图形嵌入式嵌入式链接预测链接预测长期的依赖 长期的依赖变压器变压器变压器没有监督的对比学习.

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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
  • 图形分析分析 图形分析

背景情况:

  • 动态图表由于不断变化的节点特征和时间动态而存在挑战.
  • 准确的学习需要结合长距离的历史图形背景.
  • 现有的方法与异质的短暂动态和变化的时间间隔作斗争.

研究的目的:

  • 开发一种新的动态图嵌入模型,TransformerG2G,具有不确定性量化.
  • 通过利用变压器编码器和历史背景,有效地学习时间动态.
  • 为了提高链接预测和节点分类等任务的性能.

主要方法:

  • 利用变压器编码器从当前和历史图形状态学习中间节点表示.
  • 采用投影层来生成隐藏节点嵌入的多变量高斯分布.
  • 在使用时间边缘外观 (TEA) 图表来衡量新奇性的各种基准上评估性能.

主要成果:

  • 变压器G2G在精度和效率方面超过了传统的多步骤方法和先前工作 (DynG2G).
  • 该模型表现出卓越的性能,特别是对于具有高新奇度的图形.
  • 学习的注意力权重揭示了自动适应时间步骤,并确定了有影响力的图表元素.

结论:

  • 变压器G2G有效地捕捉了动态图中的时间依赖性和复杂的相互作用.
  • 该模型的注意力机制提供了对图形演变和节点影响的见解.
  • 变压器G2G为动态图形分析提供了强大而高效的解决方案.