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Full-Text Articles in Computer Engineering
The Multi-Layered Interval Categorizer Tesselation-Based Model, Marilton S. De Aguiar, Gracaliz P. Dimuro, Antonio C. Da Rocha Costa, Rafael K.S. Silva, Fabia A. Da Costa, Vladik Kreinovich
The Multi-Layered Interval Categorizer Tesselation-Based Model, Marilton S. De Aguiar, Gracaliz P. Dimuro, Antonio C. Da Rocha Costa, Rafael K.S. Silva, Fabia A. Da Costa, Vladik Kreinovich
Departmental Technical Reports (CS)
No abstract provided.
Monte-Carlo-Type Techniques For Processing Interval Uncertainty, And Their Geophysical And Engineering Applications, Matthew G. Averill, Kate C. Miller, George R. Keller, Vladik Kreinovich, Jan Beck, Roberto Araiza, Roberto Torres, Scott A. Starks
Monte-Carlo-Type Techniques For Processing Interval Uncertainty, And Their Geophysical And Engineering Applications, Matthew G. Averill, Kate C. Miller, George R. Keller, Vladik Kreinovich, Jan Beck, Roberto Araiza, Roberto Torres, Scott A. Starks
Departmental Technical Reports (CS)
To determine the geophysical structure of a region, we measure seismic travel times and reconstruct velocities at different depths from this data. There are several algorithms for solving this inverse problem, but these algorithms do not tell us how accurate these reconstructions are.
Traditional approach to accuracy estimation assumes that the measurement errors are independently normally distributed. Problem: the resulting accuracies are not in line with geophysical intuition. Reason: a typical error is when we miss the first arrival of the seismic wave; it is not normal (bounded by the wave period T) and not independent.
Typically, all we know …