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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

464
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...
464
State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Propagation of Action Potentials01:23

Propagation of Action Potentials

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The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

366
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
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相关实验视频

Updated: Jan 7, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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基于事件的动态网络的时空空间交互建模.

Di Wang1, Xiaochen Xian2, Haidong Li3

  • 1Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Technometrics : a journal of statistics for the physical, chemical, and engineering sciences
|December 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个时空交互式霍克斯过程 (SIHP) 来建模动态网络. SIHP有效地捕捉事件的影响,考虑到空间和语义的近距离,改善网络行为理解.

关键词:
事件计数事件计数影响模式和触发动机的动机.邻居信息 邻居信息空间结构知识空间结构知识空间时间动态网络.

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相关实验视频

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科学领域:

  • 网络科学 网络科学
  • 数据科学数据科学数据科学
  • 计算社会科学 计算社会科学

背景情况:

  • 基于事件的动态网络在交通,生物学和社会系统中普遍存在.
  • 建模这些网络需要理解事件是如何影响后续事件,基于空间和语义关系.
  • 现有的模型往往难以完全整合空间结构和历史事件数据.

研究的目的:

  • 提出一种新型模型,即时空间交互式霍克斯过程 (SIHP),用于分析基于事件的动态网络.
  • 通过结合历史数据和空间/语义近距离,明确建模网络节点之间的交互事件的速率.
  • 提高对网络动态和影响模式的理解.

主要方法:

  • 开发了空间时空交互式霍克斯过程 (SIHP) 模型.
  • 纳入空间结构知识作为图形和应用图形规范化.
  • 采用了乘数交替方向方法 (ADMM) 框架用于模型参数估计.

主要成果:

  • SIHP模型有效地从历史事件中学习影响模式.
  • 该模型成功地整合了空间结构知识,以了解网络动态.
  • 通过数值实验和对纽约黄色出租车数据的现实世界案例研究来验证.

结论:

  • 拟议的SIHP模型为分析基于事件的动态网络提供了一个强大的框架.
  • 该方法准确地捕捉了时空的依赖性和影响传播.
  • 在现实应用中表现出显著的有效性,例如交通模式分析.