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相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.4K
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...
1.4K
Transformers in Distribution System01:27

Transformers in Distribution System

498
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...
498
Transformers01:26

Transformers

1.7K
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...
1.7K
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

523
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...
523
Detection of Black Holes01:10

Detection of Black Holes

2.5K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.5K
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

1.4K
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...
1.4K

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Updated: Jan 17, 2026

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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使用检测变压器进行无源对象检测.

Huizai Yao, Sicheng Zhao, Shuo Lu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 16, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了FRANCK,这是一种针对检测变压器 (DETR) 量身定制的无源对象检测 (SFOD) 的新框架. 弗兰克提升了对未经监督的领域的知识转移,实现了最先进的结果.

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    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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    相关实验视频

    Last Updated: Jan 17, 2026

    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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    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 人工智能的人工智能

    背景情况:

    • 无源对象检测 (SFOD) 便于将知识传输到没有源数据的不受监督的领域.
    • 现有的SFOD方法往往缺乏针对高级架构的定制适应,例如检测变压器 (DETR).

    研究的目的:

    • 引入FRANCK,一个新的SFOD框架,专门设计用于DETR模型中以查询为中心的功能增强.
    • 提高对象检测模型在无监督目标领域的稳定性和通用性.

    主要方法:

    • 弗兰克集成了四个关键组件:基于对象性得分的样本重权 (OSSR),基于匹配的记忆库的对比学习 (CMMB),不确定性加权的查询融合特征蒸 (UQFD) 和动态教师更新间隔 (DTUI) 自主培训管道.
    • OSSR使用基于注意力的对象性得分来重新权衡检测损失.
    • 通过多层次的特征记忆库,CMMB可以增强类智能的对比学习.
    • UQFD通过查询特征融合和预测质量重新加权来改善特征蒸.

    主要成果:

    • FRANCK有效地将源预训练的DETR模型适应目标域.
    • 拟议的方法证明了增强的稳定性和概括能力.
    • 在多个基准标准上的实验显示了最先进的性能,验证了FRANCK的有效性.

    结论:

    • 在DETR架构内,FRANCK提供了一种专门且有效的解决方案,用于在DETR架构内进行无源对象检测.
    • 该框架显著提升了对物体检测无监督域适应能力.
    • 弗兰克的组件共同促进了卓越的性能和与基于DETR的SFOD模型的兼容性.