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相关概念视频

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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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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相关实验视频

Updated: Jul 27, 2025

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
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通过在深水中使用单向量传感器对窄带源进行被动深度估计.

He Li1, Tong Wang1, Lin Su1

  • 1Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, Chinalihe930626@mail.ioa.ac.cn, wangtong18@mail.ioa.ac.cn, sulin807@mail.ioa.ac.cn, guoxinyi@mail.ioa.ac.cn, wangche@mail.ioa.ac.cn, mali@mail.ioa.ac.cn.

JASA express letters
|June 8, 2023
PubMed
概括
此摘要是机器生成的。

一种新的被动深度估计方法使用单个矢量传感器来分析水下声学干扰模式. 该技术通过观察矢量强度的振荡来准确确定目标深度,并通过模拟和海上实验进行验证.

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科学领域:

  • 海洋学 海洋学 海洋学
  • 声学 声学 在声学方面
  • 信号处理 信号处理

背景情况:

  • 当目标移动时,水下声信号会呈现干扰模式.
  • 传统的被动目标定位方法可能很复杂,需要多个传感器.

研究的目的:

  • 提出一种使用单向量传感器 (SVS) 的新型被动深度估计方法.
  • 分析受水下收到的窄带声信号的振荡干扰模式.

主要方法:

  • 使用单向量传感器 (SVS) 来接收窄带声信号.
  • 应用适应性线路增强来处理接收的信号.
  • 提取矢量强度,它表现出与垂直自行方向的周期性振荡.

主要成果:

  • 观察到与目标运动相关的振荡干扰模式.
  • 展示了一种被动深度估计方法,该方法基于深度和干扰周期之间的福里埃变换关系.
  • 通过模拟和海上实验验证实了该方法.

结论:

  • 建议使用SVS的被动深度估计方法对水下目标有效.
  • 该方法利用了声干扰周期性和目标深度之间的关系.
  • 基于单向量传感器的被动定位是可行的和准确的.