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: University of California-Davis
• 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
• 起止时间: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117424&HistoricalAwards=false
• 关键词: MRI; Acquisition; Ultra; Speed; Data

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.

数据生成和处理，特别是实时数据的持续和指数级增长，给社会带来了巨大的挑战，要求取得重大研究进展，以在大数据时代创造新的机遇。为此，该MRI采集项目将购买一个超高速数据表征系统，包括一个用于超高速数据产生的高采样率任意波形发生器和一个宽带、高分辨率示波器作为信号分析器。除了在相应的研究领域产生重大和长期的影响外，该工具还将促进与业界的战略和长期合作，包括开发高影响力的创新产品的新公司。该仪器还将帮助为该领域快速增长的行业培养未来的工程师和科学家。它将允许为新的/现有的课程开发新的课程和教学材料，将先进和最新的知识和经验带给学生。PIS将把研究与教育和推广计划结合起来，并发表科学会议和期刊论文，以广泛传播研究成果。PIS将进一步扩展到当地高中，以激励当地学生，特别是工程界的少数族裔。这项拟议的仪器收购超高速数据表征系统将使加州大学戴维斯分校和附近公司和机构的各种研究活动取得进展，以激励/实现跨学科的创新，从而产生长期的经济和社会影响。例如，它将支持超高速毫米波/太赫兹集成电路与系统、太赫兹半导体器件与超高速电子与光子学、微/纳米二维材料/超材料太赫兹器件与电路、宽带与灵活光学网络、数据挖掘与机器学习、硬件安全等方面的研究。潜在的应用包括无线和有线通信、物联网、人工智能、自动驾驶、虚拟/增强现实、网络安全等。除了在工程和科学研究方面的影响外，该仪器还可能有助于从人类生活的各个层面进行数据分析和理解，如社会和行为科学、医学和生物医学信息学、环境传感、生命理解和宇宙探索。此外，从长远来看，该工具还将为快速变化的行业和研究需求提供自适应/灵活的高速信息/数据分析，从而使研究社区和人类社会受益。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。