Data processing: measuring – calibrating – or testing – Testing system – Of circuit
Reexamination Certificate
2007-12-11
2007-12-11
Bui, Bryan (Department: 2863)
Data processing: measuring, calibrating, or testing
Testing system
Of circuit
C702S182000, C702S189000, C706S045000
Reexamination Certificate
active
11361595
ABSTRACT:
A system and method for determining the classification of a signal, or the identification of an object is provided. Based on rough set theory, or data mining, a training data set is partitioned and labeled with a multi-class entropy method. Reducts are calculated from a subset of the best-performing columns of the partitioned and labeled training set data. These reducts are applied to test signals and combined for each signal classification. The present system and method produces a more accurate, robust and efficient classification result.
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J.A. Starzyk, Doug Liu, Zhi-Hong Liu, D. Nelson, and J. Rutkowski, “Entropy-Based Optimum Test Points Selection For Analog Fault Dictionary Techniques,” IEEE Transactions on Instrumentation and Measurement, vol. 53, No. 3, Jun. 2004, pp. 754-761.
D.E. Nelson, J.A. Starzyk, and D. D. Ensley, “Iterated Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition,” IEEE Trans. on Systems, Man and Cybernetics, Part A, vol. 33, No. 1, Jan. 2003, pp. 52-57.
D.E. Nelson, J.A. Starzyk, and D. D. Ensley, “Interactive Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition,” Multidimensional Systems and Signal Processing, vol. 14, No. 2. 2002, 23 pages.
J.A. Starzyk, D. E. Nelson, and K. Sturtz, “A Mathematical Foundation for Improved Reduct Generation in Information Systems,” Journal of Knowledge and Information Systems, vol. 2, n. 2, Mar. 2000 pp. 131-146.
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D. E. Nelson and J. A. Starzyk, “Fusing Marginal Reducts for HRR Target Identification” 4th World Multiconference on Systems, Cybernetics and Informatics (SCI2000), (Orlando, FL, Jul. 2000), pp., 5 pages.
J. A. Starzk, D. E. Nelson, and K. Sturtz, “Reduct Generation in Information Systems,” The Sixth Int. Workshop on Rough Sets, Data Mining and Granular Computing, at JCIS'98 (Research Triangle Park, NC), Oct. 1998, 4 pages.
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Publications—Articles in Professional Journals, www.ent.ohiou.edu/˜staryk
etwork/research/papers.htm, printed Apr. 13, 2005, 12 pages.
D.E. Nelson's Dissertation entitled “High Range Resolution Radar Target Classification: A Rough Set Approach,” Jun. 2001, 165 pages.
Nelson Dale E.
Starzyk Janusz A.
Bui Bryan
Calfee Halter & Griswold LLP
Ohio University
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