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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

678
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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General Characteristics of Pipe Flow I01:22

General Characteristics of Pipe Flow I

1.5K
Pipe flow refers to the movement of fluids within fully enclosed conduits, typically cylindrical in shape, such as water pipes or hydraulic hoses. These conduits are designed to withstand high-pressure gradients that drive fluid movement, contrasting with open-channel flows, where gravity is the primary driving force. Rectangular conduits, like air conditioning and heating ducts, generally operate at lower pressures and are less suited for high-pressure applications.
The classification of fluid...
1.5K
Single Pipe Systems01:24

Single Pipe Systems

1.1K
In pipe flow analysis, problems are typically categorized into three types — Type I, Type II, and Type III — based on the known parameters and the desired outcome. Each type of problem addresses specific engineering requirements using fluid properties, pipe characteristics, and operational conditions.
In a Type I problem, fluid properties (density and viscosity), pipe characteristics (including diameter, length, and surface roughness), and the flow rate or average velocity are...
1.1K
Multiple Pipe Systems01:21

Multiple Pipe Systems

1.2K
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
1.2K
Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

1.5K
In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
1.5K
Pipe Flowrate Measurement: Problem Solving01:28

Pipe Flowrate Measurement: Problem Solving

904
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is achieved...
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相关实验视频

Updated: May 2, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
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DCP:用于扩散连接的管道工具箱.

Weijie Huang1,2,3, Xinyi Dong1, Tengda Zhao1

  • 1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, PR China.

Human brain mapping
|February 20, 2024
PubMed
概括
此摘要是机器生成的。

扩散连接管道 (DCP) 从扩散MRI数据提供自动化大脑结构网络分析. 这个MATLAB工具箱简化了白质连接映射,用于先进的人类大脑连接学研究.

关键词:
DCP 的 DCP 是一个 DCP 的 DCP.这是一个dMRI.扩散连接组是扩散连接组.扩散张力成像的成像方法图形理论中的图形理论.结构连接性的结构连接性网络结构 网络结构 网络结构白质是白色物质的组成部分.

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科学领域:

  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.
  • 网络科学 网络科学

背景情况:

  • 扩散磁共振成像 (dMRI) 能够通过绘制白质连接来研究大脑结构网络.
  • 现有的dMRI处理包和网络分析工具箱对完全自动化的网络分析提出了挑战.
  • 结构性大脑连接体的发展需要高效和标准化的分析工作流.

研究的目的:

  • 开发一个跨平台的MATLAB工具箱,即扩散连接管道 (DCP),用于自动化大脑结构网络的构建和分析.
  • 将已建立的dMRI处理包集成到统一的,用户友好的计算工作流中.
  • 验证DCP在复制先前研究结果方面的能力和可靠性.

主要方法:

  • 扩散连接管道 (DCP) 作为 MATLAB 工具箱的开发.
  • 多个dMRI处理包 (FSL,扩散工具包,SPM,Camino,MRtrix3,MRIcron) 的集成.
  • 为非程序员配置处理管道的图形用户界面的实施.

主要成果:

  • DCP成功地自动化了大脑结构网络的构建和拓属性的计算.
  • 该工具箱证明了其能够重现先前研究的结果,从而验证了其性能.
  • 与原始dMRI数据和来自大型数据集 (HCP,英国生物库) 的预处理文件的兼容性得到证实.

结论:

  • 扩散连接管道 (DCP) 为白质网络分析提供了标准化,完全自动化的工作流.
  • 通过简化复杂的dMRI数据处理,DCP促进了人类大脑连接学研究的进步.
  • 局限性包括依赖MATLAB和无法处理基于fixel的指标加权网络.