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相关概念视频

Network Function of a Circuit01:25

Network Function of a Circuit

299
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
299
Generator Voltage Control01:21

Generator Voltage Control

161
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
161
Generating Electromagnetic Radiations01:10

Generating Electromagnetic Radiations

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The German physicist Heinrich Hertz (1857–1894) was the first to generate and detect certain types of electromagnetic waves in the laboratory. Starting in 1887, he performed a series of experiments that confirmed the existence of electromagnetic waves and verified that they travel at the speed of light. Hertz used an alternating-current RLC (resistor-inductor-capacitor) circuit that resonated at a known frequency and connected it to a loop of wire. High voltages induced across the gap in...
3.0K
DC Generator01:19

DC Generator

771
An alternator converts mechanical energy into electrical energy that varies sinusoidally, resulting in AC current. Meanwhile, a DC generator converts mechanical energy into electrical energy, which are DC pulses with the same polarity. The construction of a DC generator is similar to that of an alternator, except that the pair of slip rings is replaced by a single split ring, also called a commutator. The commutator functions like a periodic rotary switch; it changes the contacts with the...
771
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

105
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
105
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

215
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
215

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相关实验视频

Updated: Jul 11, 2025

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
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一个用于隐蔽网络结构的网络生成器.

Amr Elsisy1,2, Aamir Mandviwalla1,2, Boleslaw K Szymanski1,2,3

  • 1Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

Information sciences
|November 6, 2023
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种新的方法来重新连接秘密网络,创造出统计学上相似的合成网络. 这有助于识别犯罪或恐怖组织内部的稳定结构,进行分析和匿名化.

关键词:
隐蔽网络是一个隐蔽网络.层次网络是一种层次网络.网络结构稳定性 网络结构稳定性随机加权网络发生器随机加权网络发生器社交网络 社交网络

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科学领域:

  • 网络科学 网络科学
  • 计算社会科学 计算社会科学
  • 网络安全 网络安全

背景情况:

  • 隐蔽网络,如犯罪或恐怖组织,由于成员试图隐活动和协会,因此使用不完整的数据运作.
  • 了解这些网络的组织结构对于情报和安全分析至关重要.
  • 现有的方法难以生成现实的合成网络,以捕捉隐蔽结构的复杂性.

研究的目的:

  • 引入一种用于生成统计学上相似的合成秘密网络的新方法.
  • 模拟隐藏网络的边缘结构和层次组织.
  • 为分析网络稳定性和匿名化敏感网络数据提供工具.

主要方法:

  • 一种用于隐蔽网络的新型重新布线方法,通过边缘连接标准偏差进行参数化.
  • 使用多层网络建模更高层次的组织结构.
  • 在最低的网络层面使用随机区块模型.
  • 从原始的秘密网络数据生成众多合成网络.

主要成果:

  • 生成的合成网络在统计上与自身和原始网络相似.
  • 将边缘结构和层次结构一起建模对于生成现实的网络至关重要.
  • 一个很小的百分比 (18%) 的合成网络结构是持续重复的,表明稳定的组织模式.
  • 识别了经常重复的结构作为基础真相网络架构的强有力的候选人.

结论:

  • 开发的方法有效地产生了合成隐形网络,保留了原始数据的统计特性.
  • 该方法允许在隐蔽网络中识别稳定,频繁的结构,有助于分析.
  • 合成网络可以用于匿名化和在开放研究环境中测试软件.