Record Details

Community sense and response systems / Matthew N. Faulkner ; Andreas Krause, K. Mani Chandy, and Thomas H. Heaton, advisors ; Andreas Krause, committee chair
Pasadena, California : California Institute of Technology, [2014]
xi, 119 leaves : illustrations (some color) ; 28 cm
[CIT theses] ; 2014
The proliferation of smartphones and other internet-enabled, sensor-equipped consumer devices enables us to sense and act upon the physical environment in unprecedented ways. This thesis considers Community Sense-and-Response (CSR) systems, a new class of web application for acting on sensory data gathered from participants' personal smart devices. The thesis describes how rare events can be reliably detected using a decentralized anomaly detection architecture that performs client-side anomaly detection and server-side event detection. After analyzing this decentralized anomaly detection approach, the thesis describes how weak but spatially structured events can be detected, despite significant noise, when the events have a sparse representation in an alternative basis. Finally, the thesis describes how the statistical models needed for client-side anomaly detection may be learned efficiently, using limited space, via coresets. The Caltech Community Seismic Network (CSN) is a prototypical example of a CSR system that harnesses accelerometers in volunteers' smartphones and consumer electronics. Using CSN, this thesis presents the systems and algorithmic techniques to design, build and evaluate a scalable network for real-time awareness of spatial phenomena such as dangerous earthquakes
Advisor and committee chair names found in the thesis' metadata record in the digital repository
Dissertation note:
Thesis (Ph.D.) -- California Institute of Technology, 2014
Bibliography, etc. note:
Includes bibliographical references
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 Record created 2015-09-18, last modified 2018-09-16

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