课题基金 / 基金详情

Combining Large-area Electronics with High-performance Computation for Scalable Ambient Intelligence

Combining Large-area Electronics with High-performance Computation for Scalable Ambient Intelligence
将大面积电子器件与高性能计算相结合,实现可扩展的环境智能
批准号:
1202168
负责人:
Naveen Verma
金额:
$36.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-01 至 2016-06-30

项目摘要

项目成果

Naveen Verma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
Intellectual merit. The objective of this research is to investigate how high-performance silicon integrated circuits can work synergistically with a technology known as large-area electronics to increase the scope of functionality that electronic systems can provide. The proliferation of integrated circuits into our environments means that electronics has the potential to acquire a large number of signals that can be of high importance to us. It also means that electronics must exist unobtrusively in this space. This raises the need for systems that are (1) capable of large-scale physical interfacing through many sensing channels and (2) able to power themselves through embedded energy-harvesting devices, all in a compliant form factor. Large-area electronics is based on low-temperature processing of thin films. This enables diverse materials to be integrated to form a broad range of transducers. It also enables the use of plastic substrates, which can be conformal and physically large. Although transistors are also possible, these have orders of magnitude lower performance and energy efficiency than high-performance silicon integrated circuits. To enable extensive physical interfaces while also retaining high-performance signal-acquisition and computation capabilities, the two technologies must be combined. Such an approach, however, poses substantial scalability challenges. This study investigates methodologies and architectures that leverage devices from both technology domains to achieve highly-scalable and efficient means of exchanging data and power signals across the technology boundaries. Broader impacts. Electronics has demonstrated tremendous value in a wide range of applications. This research lays the ground work for electronics to interface with physical systems on a very large scale. This could lead to transformational systems for applications such as high-resolution sensing skins for monitoring structural health, interactive surfaces for visual computing, etc. In addition to important societal implications, such applications, due to their scale, could become a key driver for the electronics industry. This research develops specific design methodologies that will enable directed technical efforts in conjunction with the increased application scope, helping to focus industry efforts. This research will engage a new generation of engineers, particularly from underrepresented groups, by developing systematic principles for system design, from devices to applications. Both in outreach activities and in university education, the new forms possible for electronic systems will serve to illustrate the diverse applications that engineering has the potential to impact.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CAREER: Hardware and Algorithmic Architectures for Analyzing Physically-complex Systems: embedding inference capabilities in ultra-low-power sensors
  • 批准号:
    1253670
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $44.57万
  • 财政年份:
    2013
  • 负责人:
    Naveen Verma
  • 依托单位:
SHF: Small: Analytical Modeling and Design Methodology for Large-scale Computational Systems Employing Flexible Electronics for Extensive Physical Interfacing
  • 批准号:
    1218206
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2012
  • 负责人:
    Naveen Verma
  • 依托单位:
国内基金
海外基金
基于水稻穗粒数关键基因LARGE2提高作物产量的探索与应用
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    黄洛将
  • 依托单位:
水稻穗粒数调控关键因子LARGE6的分子遗传网络解析
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    黄洛将
  • 依托单位:
量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
  • 批准号:
    12074246
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2020
  • 负责人:
    Yoshitomo Kamiya
  • 依托单位:
甘蓝型油菜Large Grain基因调控粒重的分子机制研究
  • 批准号:
    31972875
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2019
  • 负责人:
    石江华
  • 依托单位: