Nimar S Arora

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2012-125

May 29, 2012

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.pdf

This thesis presents the underlying probabilistic model, the parameter estimation, and the inference algorithm of NET-VISA, Network Processing Vertically Integrated Seismic Analysis. NET-VISA is an Open Universe Probability Model (OUPM) for seismic events, the transmission of seismic waves through the earth, and their detection (or misdetection) at stations, as well as a model for spurious detections.

The probabilistic model allows for seamless integration of various disparate sources of information. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive Nuclear-Test-Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared to the currently deployed system. It also finds events that are missed by the human analysts who post-process the IMS output.

Advisors: Stuart J. Russell

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BibTeX citation:

@phdthesis{Arora:EECS-2012-125,
    Author= {Arora, Nimar S},
    Title= {Model-based Bayesian Seismic Monitoring},
    School= {EECS Department, University of California, Berkeley},
    Year= {2012},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.html},
    Number= {UCB/EECS-2012-125},
    Abstract= {This thesis presents the underlying probabilistic model, the parameter estimation, and the inference algorithm of NET-VISA, Network Processing Vertically Integrated Seismic
Analysis. NET-VISA is an Open Universe Probability Model (OUPM) for seismic events, the transmission of seismic waves through the earth, and their detection (or misdetection) at stations, as well as a model for spurious detections.

The probabilistic model allows for seamless integration of various disparate sources of information. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive Nuclear-Test-Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared to the currently deployed system. It also finds events that are missed by the human analysts who post-process the IMS output.},
}

EndNote citation:

%0 Thesis
%A Arora, Nimar S 
%T Model-based Bayesian Seismic Monitoring
%I EECS Department, University of California, Berkeley
%D 2012
%8 May 29
%@ UCB/EECS-2012-125
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.html
%F Arora:EECS-2012-125