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RAPID: Collaborative Research: Gulf of Mexico Oil Spill Impact on Beach Soil: Radar and Radar Sensor Network-Based Approaches

RAPID: Collaborative Research: Gulf of Mexico Oil Spill Impact on Beach Soil: Radar and Radar Sensor Network-Based Approaches
RAPID:合作研究:墨西哥湾漏油对海滩土壤的影响:雷达和基于雷达传感器网络的方法
批准号:
1050618
负责人:
Qilian Liang
金额:
$12.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2012-08-31

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中文摘要
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英文摘要
In response to the Gulf of Mexico oil spill innovative UWB radar sensor network imaging methodologies to produce 2-D image based on 1-D signals are under development. Using these techniques beach soil reflectivity can be measured. The differences between the reflectivity of oil spilled beach soil and that of the normal beach soil shows the dielectric property changes due to oil spill. The oil spill has changed the beach soil dispersion, and oil contamination drastically reduces the bearing capacity of sand, which impacts building foundations and may cause building safety issue. In this project, models of the relations between soil reflectivity, oil content, and compression index are under development. The research crosses multiple disciplines, including sensor networks, radars, geoscience and remote sensing, civil engineering and geotechnology, signal and image processing, wireless communications, and pattern recognition; the research team includes four investigators drawn from three departments (EE, Civil Engineering, and CSE). This project promises to generate new results for radar remote sensing and radar sensor network approaches to assessing oil spill impact on beach soil.
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SHF: Small: Energy and Computational Efficient Deep Generative AI Models via Emerging Devices, Circuits, and Architectures
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  • 资助金额:
    $59.92万
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  • 财政年份:
    2012
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NeTS: Small: Smart Grid Wireless Networks: Capacity and Achievability
  • 批准号:
    1116749
  • 项目类别:
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  • 财政年份:
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  • 依托单位:
海外基金