Georgia State University Sensorweb Research Laboratory VolcanoSRI: 4D Volcano Seismic Tomography in a Large-scale Sensor Network WenZhan Song, Ph.D. Associate Professor Director of Sensorweb Research Lab Department of Computer Science Georgia State University
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Georgia State UniversitySensorweb Research Laboratory VolcanoSRI: 4D Volcano Seismic Tomography in a Large-scale Sensor Network WenZhan Song, Ph.D. Associate.
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Georgia State UniversitySensorweb Research Laboratory
VolcanoSRI: 4D Volcano Seismic Tomography in a Large-scale Sensor Network
WenZhan Song, Ph.D.Associate ProfessorDirector of Sensorweb Research LabDepartment of Computer ScienceGeorgia State University
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VolcanoSRI: Volcano Seismic Realtime
Imaging
VolcanoSRI: Volcano Seismic Realtime Imaging * make the fictional holographic projector “Virgil” in Supervolcano film a reality: http://www.youtube.com/watch?v=WF-RKzqNtz0 (3:49)
NSF CDI($1.83M 2011-2015): VolcanoSRI: 4D Volcano Tomography in a Large-scale Sensor Networks (PI: Song (GSU), Co-PI: Lees (UNC), Xing (MSU)).http://sensorweb.cs.gsu.edu/research/VolcanoSRI.html
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VolcanoSRI: Vigil in Supervolcano Film
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VolcanoSRI: Volcano Seismic Realtime Imaging
The tentative deployment map at Ecuador
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Instrumentation
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Tomographic Inversion n – number of nodes in the network m – dimension of tomography; thus
the size of tomography model is m3
Anxm3
sm3x1
tnx1=
node i
Each node i only has Ai and ti, e.g., the i-th row info in A and t. All nodes together to find s such that ||As-t|| is minimized. s is the 3D velocity model and can be very big (e.g., 500x500x500, if m=500). Here, A is just illustrated as the matrix for one EQ event only. There will be many EQ events and EQ event is processed one after another.
In VolcanoSRI, n =500, m = 500,although each row Ai is very sparse.
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Multi-resolution Evolving Tomography
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Vertical Tomograph Partition
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Accuracy
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Robustness
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Communication Cost
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