SGER: Independent Component Analysis on Coarse-Grain Reconfigurable VLSI (For Sensor Analysis and Fusion)

SGER：粗粒度可重构 VLSI 的独立分量分析（用于传感器分析和融合）

• 批准号: 0441212
• 负责人: V. Jain
• 金额: --
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0441212&HistoricalAwards=false
• 关键词: SGER; Independent; Component; Analysis; Coarse

SGER (Small Grants for Exploratory Research) ProposalTitle: Independent Component Analysis on Coarse-grain Reconfigurable VLSI(for sensor analysis and fusion)SUMMARYThe goal of this SGER project is to conduct a one-year intensive study on inmapping theIndependent Component Analysis (ICA) technique to a coarse-grain parallel-processing-chiparchitecture and the associated issues in design, fabrication and test of the corresponding VLSIchipls for networked sensors. However, several practical and fundamental issues, critical to thecomplete solution, will also be investigated. These include sensor calibration/validation, defectand fault tolerance through redundancy and reconfiguration, and signal interpolation in scenarioswhere the data rates from the various heterogeneous sensors are disparate. The urgency of thisproject arises from the fact that while sensor research is advancing rapidly, the extraction ofinformation and fusion of multi-modal sensor data in real time is not keeping pace. To harness thefull power of networked sensors, such processing capability, resident at the sensor nodes, isimperative.Broader Impacts: Intelligent sensor systems are of critical importance to the nations securityand economic growth. Graduate students will be involved in this research, one or more of whomwill be supported by the grant funds. Special effort will be made to recruit women, minority, ordisabled students to fill these research positions. It is also useful to remark that the project willsignificantly benefit two graduate courses: a unique graduate course that is under developmentby the PI, namely Heterogeneous System on a Chip, which is aimed to fulfill a serious nationalneed; and a Low Power VLSI Design course being developed by the Co-PI which has a projectbased learning component.

SGER（Small赠款for Exploratory Research）ProposalTitle：Independent Component Analysis on Coarse-grain Reconfigurable VLSI（for sensor analysis and fusion）概要本SGER项目的目标是进行为期一年的深入研究，研究如何将独立分量分析（伊卡）技术映射到粗粒度并行处理芯片体系结构，以及网络传感器的相应VLSI芯片的设计、制造和测试中的相关问题。然而，几个实际的和基本的问题，关键的完整的解决方案，也将进行调查。这些包括传感器校准/验证，通过冗余和重新配置的缺陷和故障容限，以及来自各种异构传感器的数据速率不同的MEMS中的信号插值。本课题的紧迫性源于传感器研究的飞速发展，而多模态传感器数据的真实的信息提取与融合却跟不上发展的步伐。为了充分利用网络化传感器的全部功能，这种驻留在传感器节点上的处理能力是必不可少的。更广泛的影响：智能传感器系统对国家安全和经济增长至关重要。研究生将参与这项研究，其中一个或多个将得到赠款基金的支持。将特别努力招收妇女、少数民族或残疾学生来填补这些研究职位。值得一提的是，该项目将大大有利于两个研究生课程：一个独特的研究生课程，正在开发的PI，即异构系统芯片，这是为了满足一个严重的国家需要;和低功耗VLSI设计课程正在开发的合作PI有一个基于项目的学习组件。