课题基金 / 基金详情

MRI: Acquisition of Ultra-High Speed Data Characterization System for Convergent Research in Big Data Era

MRI: Acquisition of Ultra-High Speed Data Characterization System for Convergent Research in Big Data Era
MRI:获取超高速数据表征系统,用于大数据时代的融合研究
批准号:
2117424
负责人:
Qun Jane Gu
金额:
$47.58万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-15 至 2024-07-31

项目摘要

项目成果

Qun Jane Gu的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The relentless and exponential increase in data generation and processing, especially real-time data, imposes grand challenges to society and demands significant research advancements to create new opportunities in the Big Data Era. To that end, this proposed MRI acquisition project will purchase an ultra-high speed data characterization system, including a high sampling rate arbitrary waveform generator for ultra-high speed data generation and a wide bandwidth, high resolution oscilloscope as the signal analyzer. Besides significant and long-term impacts in corresponding research fields, this instrument will foster strategic and long-term collaborations with industry including new companies with their development of high impact, innovative products. This instrument will also help train future engineers and scientists for the fast-growing industries in this field. It will allow new course and instructional materials to be developed for new/existing courses to bring advanced and up-to-date knowledge and experience to students. The PIs will integrate research with education and outreach programs and publish scientific conference and journal papers to broadly disseminate the research results. The PIs will further extend outreach to local high schools to inspire local students, especially minorities to the engineering world.This proposed instrument acquisition of an ultra-high speed data characterization system will enable advancements over a variety of research activities at University of California, Davis and nearby companies and institutions to inspire/materialize innovations across disciplines for long-term economical and societal impacts. For example, it will support research on ultra-high speed mm-wave/THz integrated circuits and systems, THz semiconductor devices and ultra-fast electronics and photonics, micro/nano 2-D materials/metamaterial based THz devices and circuits, wide bandwidth and flexible optical networking, data-mining and machine learning, hardware security, etc. Potential applications include wireless and wireline communications, internet of things (IoT), artificial intelligence, autonomous driving, virtual/augmented realities, cyber security, to name just a few. Besides the impacts in engineering and science research, the instrument will likely benefit the data analysis and understanding from all scales of human lives, such as social and behavioral science, medical and biomedical informatics, environment sensing, life understanding and universe exploration. In addition, this instrument will also benefit research communities and human societies in the long run by providing adaptive/agile high-speed information/data analysis for fast-changing industries and research needs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Fast, Accurate, Compact, Trustable, low Cost and Power (FACTCoP) sub-THz/THz Dielectric Sensor for Ubiquitous Access
  • 批准号:
    2241337
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.85万
  • 财政年份:
    2023
  • 负责人:
    Qun Jane Gu
  • 依托单位:
Energy Efficient (sub)mm-Wave Transceiver Phased Array for High Speed and Secure Wireless Communications
  • 批准号:
    1932821
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2019
  • 负责人:
    Qun Jane Gu
  • 依托单位:
CAREER:Terahertz Interconnect, the Last Centimeter Data Link
  • 批准号:
    1351915
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2014
  • 负责人:
    Qun Jane Gu
  • 依托单位:
EAGER: High Performance Silicon based Terahertz Front End Circuits for Chip-to-Chip Interconnect
  • 批准号:
    1348883
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.93万
  • 财政年份:
    2013
  • 负责人:
    Qun Jane Gu
  • 依托单位:
海外基金