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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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Perception of Sound Waves01:01

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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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相关实验视频

Updated: Jan 13, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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太空网:用于响应灾害的声音源定位的多模式融合架构.

Long Nguyen-Vu1, Jonghoon Lee1

  • 1AI Laboratory, MoAdata, Seongnam-si 13449, Gyeonggi-do, Republic of Korea.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括

SpaceNet是一种新的深度学习模型,可以在具有挑战性的环境中改进声音源本地化. 它使用了区间水平差异 (ILD) 功能,性能优于复杂的方法,并降低了计算成本.

科学领域:

  • 声学 声学 在声学方面
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 传统的声音源本地化 (SSL) 方法在反响和传感器异步等不利条件下扎.
  • 对于SSL的深度学习模型在杂的环境中面临分布式麦克风阵列的挑战,破坏到达时间差 (TDoA) 数据.

研究的目的:

  • 引入SpaceNet,这是一个多式联网深度学习架构,用于在不利环境中强大的声音源本地化.
  • 通过将音频特征与传感器几何融合,解决现有方法的局限性.
  • 在具有挑战性的声学条件下提高精度和效率.

主要方法:

  • 开发了SpaceNet,这是一个双分支的深度学习架构,处理麦克风几何 (距离,光度,高度).
  • 实施了特征规范化技术,以实现稳定的多式联络培训.
  • 使用来自灾区的真实世界数据集来评估性能,专注于仅在间隔水平差异 (ILD) 的光谱.

主要成果:

  • 与基线 (CHAWA) 和使用全光谱的模型相比,仅在ILD光谱上训练的SpaceNet显示出更高的定位精度.
  • 拟议的方法显著减少了24的计算开销的因素.
  • 时间不变的ILD线索在反响和异步条件下被证明比复杂的时间特征更有效.
关键词:
这是一个TDoA.数字信号处理是数字信号处理.功能融合功能融合功能神经网络的神经网络的神经网络声音源的本地化 声音源的本地化

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相关实验视频

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结论:

  • 太空网提供了一个更有效和高效的解决方案,用于声音源本地化与分布式麦克风阵列在不利的环境中.
  • 在处理反响和同步错误时,基于ILD的特征比时间特征具有优势.
  • 这些发现突显了多式联机深度学习在现实世界中具有挑战性的场景中强大的声学传感的潜力.