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相关概念视频

Types Of Transformers01:16

Types Of Transformers

952
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...
952
Transformers in Distribution System01:27

Transformers in Distribution System

99
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...
99
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

142
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...
142
The Ideal Transformer01:26

The Ideal Transformer

364
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...
364
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

401
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...
401
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

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Updated: Jun 13, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

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

Published on: April 21, 2023

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图形变压器用于标签放置.

Jingwei Qu, Pingshun Zhang, Enyu Che

    IEEE transactions on visualization and computer graphics
    |September 10, 2024
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    概括
    此摘要是机器生成的。

    这项研究引入了一种新的图形变压器,用于在图形中自动放置标签,提高准确性和美学效果. 一个新的数据集,AMIL,支持这种方法,以获得更好的视觉解释.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 计算几何学的计算几何学

    背景情况:

    • 自动文本标签放置对于解释视觉内容至关重要,但面临着几何和美学约束的挑战.
    • 现有的基于规则的方法无法捕捉复杂的标签交互和视觉内容,而基于学习的方法缺乏足够的培训数据.
    • 审美标签的放置需要重要的设计专业知识,限制了大规模,高质量的数据集的创建.

    研究的目的:

    • 开发一种有效的方法来自动放置文本标签,以满足几何和美学要求.
    • 引入一种新的基于图形的表示和用于预测最佳标签位置的变压器模型.
    • 为培训和评估标签放置算法创建一个新的数据集.

    主要方法:

    • 制定了标签放置作为节点位置预测问题,使用图形表示,节点是标签,边缘代表交互.
    • 设计了一个标签放置图形转换器 (LPGT) 模型,结合边缘级别的注意力和整合图形信息的特征对齐策略.
    • 从设备手册中收集和注释商业插图,以创建设备手册插图标签 (AMIL) 数据集.

    主要成果:

    • 拟议的LPGT模型在新创建的AMIL数据集上的标签放置任务中显示出有希望的性能.
    • 图形表示和变压器架构有效地捕捉了标签交互和集成的视觉内容.
    • 艾米尔数据集为推进自动标签放置研究提供了宝贵的资源.

    结论:

    • 该LPGT模型为自动标签放置提供了一个强大的解决方案,优于现有的方法.
    • 新的基于图形的方法和变压器架构对于处理复杂的标签交互和视觉上下文是有效的.
    • 开发AMIL数据集是为了解决基于学习的标签放置方法资源的稀缺问题.