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Mathematical methods for enhancing distributed acoustical sensing and fibre optics devices

Mathematical methods for enhancing distributed acoustical sensing and fibre optics devices
增强分布式声学传感和光纤器件的数学方法
批准号:
494101-2016
负责人:
Lamoureux, Michael
金额:
$1.8万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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中文摘要
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英文摘要
Distributed acoustical sensing (DAS) is an advanced sensing technology that provides remote, real-time access to closely-spaced data collection sites spread across tens of kilometres of linear infrastructure -- such as pipelines, railways, and perimeters various installations. The DAS system works by converting a single optical fibre into tens of thousands of individual highly-sensitive vibrational sensors. Optical fibres yields a system immune to electromagnetic or radio frequency interface, requiring no power along the sensing length.
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Mathematical modelling and computational methods for imaging and advanced sensor technology
  • 批准号:
    RGPIN-2020-04561
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2022
  • 负责人:
    Lamoureux, Michael
  • 依托单位:
Mathematical modelling and computational methods for imaging and advanced sensor technology
  • 批准号:
    RGPIN-2020-04561
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2021
  • 负责人:
    Lamoureux, Michael
  • 依托单位:
Mathematical modelling and computational methods for imaging and advanced sensor technology
  • 批准号:
    RGPIN-2020-04561
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2020
  • 负责人:
    Lamoureux, Michael
  • 依托单位:
Mathematical analysis and inverse theory for seismic and medical imaging
  • 批准号:
    RGPIN-2015-06038
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.24万
  • 财政年份:
    2019
  • 负责人:
    Lamoureux, Michael
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data