Anita J. LaSalle
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
Start Date:
September 15, 2002
Expires:
August 31, 2007 (Estimated)
Awarded Amount to Date:
$950000
Investigator(s):
Theodore Trafalis ttrafalis@ou.edu (Principal Investigator)
S Lakshmivarahan (Co-Principal Investigator) Michael Richman (Co-Principal Investigator) Valliappa Lakshmanan (Co-Principal Investigator) Anderson White (Co-Principal Investigator)
Sponsor:
University of Oklahoma Norman Campus
201 David L. Boren Blvd.
NORMAN, OK 73019 405/325-4757
NSF Program(s):
EXP PROG TO STIM COMP RES, ITR MEDIUM (GROUP) GRANTS
Field Application(s):
0000099 Other Applications NEC
Program Reference Code(s):
HPCC, 9216, 9215
Program Element Code(s):
9150, 1687
ABSTRACT
EIA-0205628 Theodore B. Trafalis University of Oklahoma ITR: A Real Time Mining of Integrated Weather Data
The mission is to build systems and develop theory for extracting information and identifying patterns that are useful for making decision in real-time. Funding is being requested to build pattern recognition techniques that will exploit multisensor data in an integrated manner to provide information such as the presence or absence of tornados, supercells and mesocyclones; estimate precipitation; predict the occurrence of flash floods; assimilate and display large volumes of multisensor data and trigger the archive of selected data sets. These tasks will be accomplished by customizing and developing techniques for real-time data mining. The approaches used will include traditional data reduction methods such as PCA and clustering; Procrustes analysis; Kalman filters and non-linear time series analysis with regime switching; and, decomposition and robust optimization methods for training support vector machines.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Lakshmanan, V; Fritz, A; Smith, T; Hondl, K; Stumpf, G. "An automated technique to quality control radar reflectivity data," JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, v.46, 2007, p. 288-305.
Lakshmanan, V; Smith, T; Hondl, K; Stumpf, GJ; Witt, A. "A real-time, three-dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity, and derived products," WEATHER AND FORECASTING, v.21, 2006, p. 802-823.
Lakshmanan, V; Smith, T; Stumpf, G; Hondl, K. "The Warning Decision Support System-Integrated Information," WEATHER AND FORECASTING, v.22, 2007, p. 596-612.
Santosa, B. and T.B. Trafalis. "Robust Kernel-based Regression," WSEAS Transactions On Systems, v.5, 2006, p. 424.
Santosa, B. and T.B. Trafalis. "Robust Multiclass Kernel-based Classifiers," Computational Optimization, 2007.
Santosa, B., M. B.Richman and T.B. Trafalis. "Variable Selection and Prediction of Rainfall from WSR-88D Radar Using Support Vector Regression," WSEAS Transactions on Systems, 2005, p. 406.
T. B. Trafalis and A. White. "Data Mining Techniques for Pattern Recognition: Tornado Signatures in Doppler Weather Data," International Journal of Smart Engineering System Design, v.5, 2003, p. 347.
T. B. Trafalis and J. Park. "Uncertainty and sensitivity analysis issues in support vector machines," WSEAS Transactions on Systems, v.5, 2006, p. 2086.
T. B. Trafalis, B. Santosa and M. B. Richman. "Bayesian Neural Networks for Tornado Detection," WSEAS Transactions on Systems, v.3, 2004, p. 3211.
T. B. Trafalis, B. Santosa and M. B. Richman. "Feature Selection with Linear Programming Support Vector Machines and Applications to Tornado Prediction," WSEAS Transactions on Systems, v.4, 2005, p. 865.
T. B. Trafalis, M. B. Richman and B. Santosa. "Learning Networks for Tornado Detection," International Journal of General Systems, v.35, 2006, p. 93.
T. B. Trafalis, M. B. Richman and B. Santosa. "Prediction of Rainfall from WSR-88D Radar Using Kernel-based Methods," International Journal of Smart Engineering System Design, v.5, 2003, p. 429.
Trafalis, T.B. and Gilbert, R.C.. "Robust support vector machines for classification and computational issues," Optimization Methods and Software, v.22, 2007, p. 187.
Trafalis, T.B., B. Santosa and M.B. Richman. "Learning Networks in Rainfall Estimation," Computational Management Science, v.2, 2005, p. 229.
V. Lakshmanan, R. Rabin, and V. DeBrunner. "Multiscale storm identification and forecast," J. of Atmospheric Research, v.69, 2003, p. 367.
