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相关概念视频

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
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
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.2K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.2K
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
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
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

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相关实验视频

Updated: Jul 5, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

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图形变压器GANs与图形掩饰建模用于建筑布局生成.

Hao Tang, Ling Shao, Nicu Sebe

    IEEE transactions on pattern analysis and machine intelligence
    |January 17, 2024
    PubMed
    概括

    一个新的图形变压器生成对抗网络 (GTGAN) 通过学习复杂的节点关系有效地生成架构布局. 这种方法在房屋和建筑布局生成任务中取得了最先进的结果.

    科学领域:

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

    背景情况:

    • 建筑布局生成是复杂的,需要模拟组件之间的复杂关系.
    • 现有的方法在图形限制布局的端到端学习方面遇到了困难.

    研究的目的:

    • 引入一个新的图形变压器生成对抗网络 (GTGAN) 进行有效的图形节点关系学习.
    • 通过改进对本地和全球互动的建模来增强建筑布局生成.

    主要方法:

    • 开发了一个图形转换器编码器,将图形卷积和本地和全球节点交互的自我注意力结合起来.
    • 引入了连接节点注意力 (CNA) 和非连接节点注意力 (NNA),以捕捉图形关系.
    • 提出了一个节点分类区分器和基于图的循环一致性损失,以保护空间关系.
    • 实施了一种自我引导的预训练方法,使用高比节点/边缘掩盖来学习图形表示.

    主要成果:

    • 在房屋布局生成,房屋屋顶生成和建筑布局生成任务上实现了最先进的性能.
    • 在三个公共数据集中,在量化得分和视觉现实主义方面都取得了显著的改进.
    • 拟议的GTGAN有效地模拟复杂的图形节点关系,以实现具有挑战性的布局生成.

    更多相关视频

    Three-Dimensional Shape Modeling and Analysis of Brain Structures
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    Three-Dimensional Shape Modeling and Analysis of Brain Structures

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    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
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    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

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    相关实验视频

    Last Updated: Jul 5, 2025

    Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
    09:10

    Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

    Published on: August 5, 2021

    1.8K
    Three-Dimensional Shape Modeling and Analysis of Brain Structures
    05:33

    Three-Dimensional Shape Modeling and Analysis of Brain Structures

    Published on: November 14, 2019

    7.1K
    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
    08:41

    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

    Published on: July 17, 2020

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    结论:

    • 新的GTGAN框架显著推进了图形受约束的架构布局生成.
    • 综合注意力机制和预培训策略提高了模型学习和生成质量.
    • 这种方法为实现现实和准确的建筑设计生成设定了新的基准.