INTEGRATED SENSING: Distributed Multiscale Geometric Processing On Real-Time Sensor Networks On Radiation Fields

[02:25414]一组专门研究多路传感器的工程师和专门研究计算几何的计算机科学家将共同开发物理和逻辑几何处理，以提高传感器网络的效率。传感器系统的效率可以定义为传感器状态数与系统输出状态数之比。接近1的效率比大大降低了传感的计算和通信成本。降低计算负荷对实时操作至关重要。多路感知（即源状态和传感器像素之间的非同构映射）是高效系统的关键功能。多路灵敏度采用几何结构编码。该项目可能会导致人机界面运动和跟踪传感器的成本更低，计算复杂度也比目前的技术低得多。该项目将利用通过杜克信息空间项目（DISP）开发的传感器网络测试平台，包括Argus，一个安装在14米环上的128个视频摄像机阵列，与贝奥武夫处理集群平行连接，史密斯烟草仓库中5000平方英尺的热电和声学传感器体积，以及杜克森林中的自组织传感器网络。

0225414BradyA group of engineers specializing in multiplex sensors and computer scientists specializing in computational geometry will jointly develop physical and logical geometric processing to improve sensor network efficiency. The efficiency of sensor system may be defined as a ratio of the number of sensor states to the number of system output states. An efficiency ratio near 1 dramatically reduces the computation and communication costs of sensing. Reduced computational loads are critical to real-time operation. Multiplex sensing (meaning non-isomorphic mapping between the source state and sensor pixels) is the critically enabling feature of efficient systems. Geometric structure is used to encode multiplex sensitivity. This project may lead to motion and tracking sensors for human-computer interfaces at much lower cost and with much lower computational complexity than current technology.This project will leverage sensor network testbeds developed through the Duke Information Spaces Project (DISP), including Argus, a 128 video camera array on a 14 meter ring connected in parallel to a Beowulf processing cluster, 5,000 square foot pyroelectric and acoustic sensor volume in the Smith tobacco Warehouse and ad hoc sensor networks in the Duke Forest.