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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
Source Transformation01:15

Source Transformation

3.8K
Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
3.8K
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
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
Outliers and Influential Points01:08

Outliers and Influential Points

4.0K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.0K

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相关实验视频

Updated: Jun 7, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

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影响最大化算法用于整合属性图集群和异质图形变压器.

Wenzhan Zhang1, Ziyao Liu1

  • 1School of Software Engineering, University of Science and Technology of China, Hefei, 230026, China.

Heliyon
|November 11, 2024
PubMed
概括

本研究介绍了社交网络的新影响力最大化算法,该算法集成了用户属性和网络异质性. 拟议的模型在影响力传播和聚类准确性方面表现出卓越的表现,增强了社交网络研究.

科学领域:

  • 社交网络分析 社交网络分析
  • 人工智能的人工智能
  • 信息科学 信息科学 信息科学

背景情况:

  • 传统的影响最大化算法忽视了节点属性和网络异质性,导致传播效率和准确性低于最佳.
  • 有效的影响力最大化对于理解和利用社交网络中的信息传播至关重要.

研究的目的:

  • 开发一个先进的影响最大化模型,该模型包含节点属性和网络异质性.
  • 提高社交网络影响力传播的准确性和效率.

主要方法:

  • 构建了一个社交网络影响力最大化传播模型.
  • 使用自动编码器和图形卷积自动编码器进行属性提取.
  • 使用变压器和异质图形神经网络用于特征表示学习.
  • 设计了一种结合赋值图集群和异质图形变换器的算法.

主要成果:

  • 聚变算法表现出强大的配合性能,损失值低 (0.619和0.17).
  • 实现了高集群精度,回忆率为92.5%,F1分数为0.90.
  • 影响最大化模型显示了重要的活跃节点覆盖率 (67%和48%在两个数据集).

结论:

关键词:
属性图表集群化 属性图表集群化聚变算法 聚变算法不同质的图形变压器影响力最大化影响力最大化社交网络 社交网络

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  • 设计的模型通过解决传统方法的局限性,有效地传播影响力.
  • 这些发现有助于更好地了解社交网络中影响力传播机制.
  • 这项研究促进了社交网络分析和应用方面的进步.