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相关概念视频

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
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
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
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
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

433
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...
433
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

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相关实验视频

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How to Build a Dichoptic Presentation System That Includes an Eye Tracker
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视觉变压器与四边形注意力

Qiming Zhang, Jing Zhang, Yufei Xu

    IEEE transactions on pattern analysis and machine intelligence
    |January 8, 2024
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    概括

    四角注意力 (QA) 通过适应性预测物体形状来增强视觉转换器,改善各种视觉任务的性能. 这种灵活的方法克服了计算机视觉应用中的固定窗口的局限性.

    科学领域:

    • 计算机视觉 计算机视觉
    • 深度学习 (Deep Learning) 是一种深度学习.
    • 人工智能的人工智能

    背景情况:

    • 基于窗口的注意力在视觉变压器中很受欢迎,以提高效率.
    • 手工制作的窗户限制了对不同尺寸和形状的物体的适应性.

    研究的目的:

    • 引入一种新的四角注意力 (QA) 方法.
    • 为了提高视觉变压器对物体识别的灵活性.

    主要方法:

    • 开发了一个端到端可学习的四边形回归模块.
    • 预测的转换矩阵,以适应窗口的目标四角形的注意力计算.
    • 在视觉变压器中集成质量保证,以创建QFormer架构.

    主要成果:

    • 在多个视觉任务中,QFormer表现出卓越的性能.
    • 在分类,物体检测,语义细分和姿势估计方面取得了最先进的结果.
    • 展示了微小的代码修改和可以忽略的计算开销.

    结论:

    • 四角注意力为基于固定窗口的注意力提供了一种灵活而高效的替代方案.

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  • QFormer显著提升了复杂视觉识别的视觉转换器功能.
  • 拟议的方法为处理各种对象特征提供了一个强大的框架.