用软件定义的传感器测量城市

Charlie Catlett;Pete Beckman;Nicola Ferrier;Howard Nusbaum;Michael E. Papka;Marc G. Berman;Rajesh Sankaran
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引用次数: 20

摘要

由美国国家科学基金会资助的芝加哥物阵(AoT)项目创造了一种实验性的城市尺度测量能力,以支持各种科学研究。最初被设想为一个传统的传感器网络,与许多科学界的合作指导该项目设计了一个可远程编程的系统,以在网络“边缘”的设备内实现人工智能,作为测量城市因素的一种手段,而这在以前只有人类观察者才能实现,诸如包括社交互动的人类行为。“软件定义传感器”的概念从这些设计讨论中产生,开辟了新的可能性,例如更强的隐私保护和由事件或条件触发的自主、自适应测量。作为SAGE项目的一部分,我们提供了当前和计划中的社会和行为科学调查的例子,这些调查是由软件定义的传感器独特实现的,SAGE项目是一项扩大的后续工作,包括AoT。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Cities with Software-Defined Sensors
The Chicago Array of Things (AoT) project, funded by the US National Science Foundation, created an experimental, urban-scale measurement capability to support diverse scientific studies. Initially conceived as a traditional sensor network, collaborations with many science communities guided the project to design a system that is remotely programmable to implement Artificial Intelligence (AI) within the devices-at the “edge” of the network-as a means for measuring urban factors that heretofore had only been possible with human observers, such as human behavior including social interaction. The concept of “software-defined sensors” emerged from these design discussions, opening new possibilities, such as stronger privacy protections and autonomous, adaptive measurements triggered by events or conditions. We provide examples of current and planned social and behavioral science investigations uniquely enabled by software-defined sensors as part of the SAGE project, an expanded follow-on effort that includes AoT.
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CiteScore
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