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相关概念视频

Underflow Gates01:30

Underflow Gates

39
Underflow gates are vital for controlling water flow in irrigation canals. The three main types of underflow gates — vertical, radial, and drum gates — serve different purposes while ensuring effective flow management. Vertical gates move up and down, generating a free-flowing water jet; radial gates pivot to regulate the flow; and drum gates rotate for precise adjustments. The flow through these gates is influenced by downstream conditions, resulting in free or drowned outflow.Free and...
39
Rapidly Varying Flow01:24

Rapidly Varying Flow

49
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
49
Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

987
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
987
Gradually Varying Flow01:29

Gradually Varying Flow

32
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
32
Plane Potential Flows01:23

Plane Potential Flows

365
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
365
Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

285
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,...
285

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相关实验视频

Updated: Jun 4, 2025

Ultrasonography of the Adult Male Urinary Tract for Urinary Functional Testing
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在基于声音的尿液流量计中进行流量预测.

Marcos Lazaro Alvarez1, Laura Arjona2, Mario Jojoa-Acosta3

  • 1Faculty of Engineering, University of Deusto, 48007, Bilbao, Spain. alvarez.marcoslazaro@deusto.es.

Scientific reports
|January 3, 2025
PubMed
概括

基于声音的尿流量计 (SU) 提供了一种可靠的,非侵入性的方法,用于在家中评估尿功能. 这项研究证实,SU精确地估计了尿液流量和排泄量,为传统的尿流量计提供了方便的替代方案.

关键词:
声波清空信号的声音清空信号流量预测流量预测机器学习是机器学习.基于声音的尿液流量计.

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科学领域:

  • 生物医学工程 生物医学工程
  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科
  • 信号处理 信号处理

背景情况:

  • 传统的泌尿流量计 (UF) 需要对诊所进行诊断,以评估下尿道功能障碍.
  • 基于声音的尿液流量计 (SU) 等非侵入性方法为家庭监测提供了潜力.
  • 精确估计尿流速和排尿量对于诊断尿道问题至关重要.

研究的目的:

  • 为了比较基于声音的尿液流量计 (SU) 与传统的尿液流量计 (UF) 在估计尿液流速和排泄量方面的准确性.
  • 为了评估机器学习算法的有效性,在分析音频信号的尿液流量计参数.
  • 为了确定SU的最佳参数,包括设备,频率范围和细分尺寸.

主要方法:

  • 50名男性志愿者 (年龄在18-60岁) 参与了这项研究,UF使用了Minze尿流量计作为参考.
  • 清空过程中的音频信号使用Ultramic384k,智能手机和智能手表进行记录.
  • 机器学习模型 (梯度增强,随机森林,SVM) 从细分的音频数据估计了流量参数.

主要成果:

  • 流量估计的平均绝对误差低 (2.5-2.9毫升/秒),R2值高 (79-84%).
  • 0-8 kHz频段捕获了83%的显著音频组件,这表明更高的采样率并不重要.
  • 最佳的分段大小是1000 ms;林对智能手表数据的一致系数是0.9 (流速) 和0.85 (体积).

结论:

  • 基于声音的尿流量计是传统尿流量计的可靠和经济有效的替代方案.
  • SU可以方便地在家进行测试,以评估下泌尿道功能障碍.
  • 对音频信号的机器学习分析有效地估计了关键的尿液流量计参数.