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相关概念视频

Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.1K
Types Of Transformers01:16

Types Of Transformers

948
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...
948
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

139
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...
139
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
The Ideal Transformer01:26

The Ideal Transformer

356
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...
356
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

397
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...
397

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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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双视图对应学习与当地共识变压器

Gang Wang, Yufei Chen

    IEEE transactions on neural networks and learning systems
    |November 12, 2024
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    概括
    此摘要是机器生成的。

    地方共识 (LC) 提高了计算机视觉中的特征匹配,特别是许多异常值. 一个新的LCT网络在宽基线立体视觉方面取得了最先进的结果.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 多视图几何几何学
    • 机器学习 机器学习

    背景情况:

    • 在计算机视觉中,特征匹配是必不可少的,但异常值 (不匹配) 将其挑战.
    • 传统方法与高异常比率作斗争,影响多视图几何应用.
    • 地方共识 (LC) 提供了一个有前途的方法来实现强大的特征匹配.

    研究的目的:

    • 引入一种新的可训练的神经网络,LCT (LCC变压器),以实现强大的特征匹配.
    • 在深度学习框架内利用当地共识 (LC) 原则.
    • 提高广泛基线立体视觉任务的性能,特别是具有显著异常值的任务.

    主要方法:

    • 开发了一个基于动态图的嵌入层,以建立邻近拓.
    • 利用了多头自我注意力,通过局部拓指导道注意力 (CA).
    • 集成的顺序感知图表聚合用于全球上下文提取.
    • 设计了为宽基线立体声量身定制的LCT架构.

    主要成果:

    • 液压电路变压器 (LCT) 展示了将地方共识 (LC) 纳入系统的显著好处.
    • 在具有挑战性的YFCC100M户外和SUN3D室内数据集上实现了最先进的性能.
    • 该模型成功地处理了超过90%的异常值的场景,展示了高强度.

    结论:

    • 地方共识 (LC) 是一个有价值的概念,用于改进基于深度学习的特征匹配.
    • 液压变压器 (LCT) 为宽基线立体声匹配提供了强大而有效的解决方案.
    • 这种方法通过解决具有挑战性的异常情景,推动了计算机视觉领域的发展.