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Your search keyword '"Granat, Robert"' showing total 15 results
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15 results on '"Granat, Robert"'

2. The Quakes Concept for Observing and Mitigating Natural Disasters

Author

Donnellan, Andrea, primary, Pierce, Marlon, additional, Wang, Jun, additional, Ben-Zion, Yehuda, additional, Lou, Yunling, additional, Padgett, Curtis, additional, Parker, Jay, additional, Hawkins, Brian, additional, Granat, Robert, additional, Glasscoe, Margaret, additional, Rundle, John, additional, and Ludwig, Lisa Grant, additional

Published
2019
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9. Modeling and On-the-Fly Solutions for Solid Earth Sciences: Web Services and Data Portal for Earthquake Early Warning System

Author

Bock, Yehuda, primary, Crowell, Brendan, additional, Prawirodirdjo, Linette, additional, Jamason, Paul, additional, Chang, Ruey-Juin, additional, Fang, Peng, additional, Squibb, Melinda, additional, Pierce, Marlon, additional, Gao, Xiaoming, additional, Webb, Frank, additional, Kedar, Sharon, additional, Granat, Robert, additional, Parker, Jay, additional, and Dong, Danan, additional

Published
2008
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13. Building Sensor Filter Grids: Information Architecture for the Data Deluge

Author

Fox, Geoffrey C., primary, Aktas, Mehmet S., additional, Aydin, Galip, additional, Donnellan, Andrea, additional, Gadgil, Harshawardhan, additional, Granat, Robert, additional, Pallickara, Shrideep, additional, Parker, Jay, additional, Pierce, Marlon E., additional, Oh, Sangyoon, additional, Rundle, John, additional, Sayar, Ahmet, additional, and Scharber, Michael, additional

Published
2005
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14. QuakeSim: Integrated modeling and analysis of geologic and remotely sensed data.

Author

Donnellan, Andrea, Parker, Jay, Granat, Robert, De Jong, Eric, Suzuki, Shigeru, Pierce, Marlon, Fox, Geoffrey, Rundle, John, McLeod, Dennis, Al-Ghanmi, Rami, and Ludwig, Lisa Grant

Abstract

The QuakeSim Project improves understanding of earthquake processes by integrating model applications and various heterogeneous data sources within a web services environment. The project focuses on the earthquake cycle and related crustal deformation. Spaceborne GPS and Interferometric Synthetic Aperture data provide information on near-term crustal deformation, while paleoseismic geologic data provide longer-term information on earthquake fault processes. These data sources are integrated into QuakeSim's QuakeTables database and are accessible by users or various model applications. An increasing amount of UAVSAR data is being added to the QuakeTables database through a map browsable interface. Model applications can retrieve data from QuakeTables or remotely served GPS velocity data services or users can manually input parameters into the models. Pattern analysis of GPS and seismicity data has proved useful for mid-term forecasting of earthquakes and for detecting subtle changes in crustal deformation. The GPS time series analysis has also proved useful for detecting changes in processing of the data. Development of the QuakeSim computational infrastructure has benefitted greatly from having the user in the development loop. Improved visualization tools enable more efficient data exploration and understanding. Tools must provide flexibility to science users for exploring data in new ways, but also must facilitate standard, intuitive, and routine uses for end users such as emergency responders.1 [ABSTRACT FROM PUBLISHER]

Published
2012
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15. Tests and Tolerances for High-Performance Software-Implemented Fault Detection.

Author

Turmon, Michael, Granat, Robert, Katz, Daniel S., and Lou, John Z.

Subjects
*COMPUTER software, *COMPUTER systems
Abstract

We describe and test a software approach to fault detection in common numerical algorithms. Such result checking or algorithm-based fault tolerance (ABFT) methods may be used, for example, to overcome single-event upsets in computational hardware or to detect errors in complex, high-efficiency implementations of the algorithms. Following earlier work, we use checksum methods to validate results returned by a numerical subroutine operating subject to unpredictable errors in data. We consider common matrix and Fourier algorithms which return results satisfying a necessary condition having a linear form; the checksum tests compliance with this condition. We discuss the theory and practice of setting numerical tolerances to separate errors caused by a fault from those inherent in finite-precision floating-point calculations. We concentrate on comprehensively defining and evaluating tests having various accuracy/computational burden tradeoffs, and we emphasize average-case algorithm behavior rather than using worstcase upper bounds on error. [ABSTRACT FROM AUTHOR]

Published
2003
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