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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

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In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
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Density and Archimedes' Principle01:05

Density and Archimedes' Principle

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When a lump of clay is dropped into water, it sinks. But if the same lump of clay is molded into the shape of a boat, it starts to float. Because of its shape, the clay boat displaces more water than the lump and experiences a greater buoyant force, even though its mass is the same. The same holds true for steel ships. The average density of an object majorly determines if the object will float. If an object's average density is less than that of the surrounding fluid, it will float. The...
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相关实验视频

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Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
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Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

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水下来源计数与局部信心水平增强密度集群

Yang Chen1, Yuanzhi Xue1, Rui Wang1

  • 1School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

本研究介绍了使用单个声向量传感器进行水下平台的增强源计数方法. 该技术通过提炼密度聚类与本地置信级别来提高准确性.

科学领域:

  • 水下声学 水下声学
  • 信号处理 信号处理
  • 自主系统 自主系统

背景情况:

  • 准确的源数计数对于自主水下平台至关重要.
  • 现有的方法可能会在复杂的声学环境中扎.

研究的目的:

  • 为单个声向量传感器提出一个改进的源计数方法.
  • 为了提高自主水下平台检测的准确性.

主要方法:

  • 计算声音压力和振动速度的短时间里叶变换 (STFT).
  • 从时间频率数据中估计到达方向 (DOA).
  • 应用局部可信度级增强密度集群来分类DOA.

主要成果:

  • 改进的方法成功地对DOA进行分类,并确定源编号.
  • 当地信任权重改善了集群中心和侧面环节之间的密度差异.
  • 与基本密度聚类相比,实现了更高的源数计数精度.

结论:

  • 拟议的局部可信度水平增强密度集群方法显著提高了来源计数的准确性.
  • 这种方法为自主水下应用中的源计数提供了更强大的解决方案.
关键词:
DOA估计的估计值.声学矢量传感器传感器密度聚类密度聚类.当地信任水平 当地信任水平源头计数的计数方法

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  • 该技术有效地利用单个声向量传感器数据.