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Cyber-Physical Computing in the Earth Sciences: from Wireless Sensor Networks to Pattern Recognition


Friday, November 21, 2014 3:30 PM - 4:30 PM

In this seminar, I will summarize my research in wireless cyber-physical systems applied to geohazard monitoring. Specifically, my work focuses on three main elements of such systems: 1) automated event detection, 2) efficient data transmission, and 3) custom wireless hardware. First, I will describe a pattern recognition workflow to automatically detect snow avalanche events in real-world passive seismic data; this workflow involves signal processing for feature extraction, cluster-based subsampling for majority class reduction, and experimentation using many types of machine learning algorithms. Second, I will discuss an on-mote compressive sampling algorithm called RTV, a technique that may represent a paradigm shift in wireless seismic data compression; instead of "sample then compress," RTV "compresses while sampling." Third, I will present details of ongoing efforts to develop a custom, inexpensive, easy-to-use, Arduino-based wireless platform capable of precise and accurate geophysical data acquisition; experimental results show that my custom "GeoMoteShield" performs comparably to a traditional wired seismograph and outperforms a fully (and much more expensive) "from the ground up" wireless device.

Dr. Marc Rubin is Program Lead and Instructor of Computer Science at OSU-Cascades. He received his Ph.D. in Computer Science from Colorado School of Mines where he was an NSF IGERT Fellow within the interdisciplinary SmartGeo research program. Dr. Rubin's research focuses on the application of wireless sensor technologies and machine learning algorithms towards automatic geohazard monitoring.


Kearney Hall (campus map)
311
Free
Sch Elect Engr/Comp Sci
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