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Parallel Knowledge Processing

Parallel Knowledge Processing

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Overview

Parallel Knowledge Processing (PKP) research described here covers topics addressed jointly with the Intelligent Systems Laboratory (ISL) and Combined Curriculum and Research Development (CRCD) in Machine Learning project, as well as research done independently in the Computer Architecture Lab (CAL). Recent joint projects with the CRCD project and ISL have focused on pipelining Fuzzy ARTMAP Neural Networks on distributed architectures including the correctness proofs, performance bounds, and experimental performance on two large datasets for the No-Match Tracking technique developed to balance computation and communication in Beowulf clusters.  PKP Research within CAL has focused on and Characterizing Marker-Propagation Mechanisms, Performance Indices, Parallel AI Benchmarking, and Massively Parallel Speech Understanding.

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Publications

Book Chapters

  1. J. Castro, J. Secretan, M. Georgiopoulos, R. F. DeMara, G. Anagnostopoulos, and A. Gonzalez, "Pipelining Fuzzy ARTMAP without Match-Tracking," in Intelligent Engineering Systems through Artificial Neural Networks, Vol. 14, ASME Press, 2004, ISBN: 0-791-80228-0, pp. 100 - 106.
    [abstract] [pdf] [doc] [bibtex]
  2. S. H. Chung, D. I. Moldovan, and R. F. DeMara, "Massively Parallel Speech Understanding," in Massively Parallel Artificial Intelligence, MIT Press, 1993, J. A. Hendler and H. Kitano, Ed., ISBN: 0-262-61102-3, pp. 138 - 170.
    [abstract] [pdf] [doc] [bibtex]

Journal Articles

  1. J. Castro, M. Georgiopoulos, and R. F. DeMara, “Data Partitioning with Fuzzy ARTMAP using the Hilbert Space Filling Curves: Emphasis on Large Database Problems,” accepted to Neural Networks on January 28, 2005
    [abstract] [pdf] [bibtex]
  2. J. Castro, M. Georgiopoulos, J. Secretan, R. F. DeMara, G. Anagnostopoulos, and A. J. Gonzalez, “Parallelization of Fuzzy ARTMAP to Improve its Convergence Speed,” accepted to Nonlinear Analysis: Theory, Methods, and Applications, Vol. 60, No. 8, June, 2005, to appear.
    [abstract] [pdf] [doc] [bibtex]
  3. R. C. Watkins, K. M. Reynolds, R. F. DeMara, M. Georgiopoulos, A. J. Gonzalez, and R. Eaglin, “Exploring Data Mining Technologies as Tools to Investigate Money Laundering,” Journal of Policing Practice and Research: An International Journal, Vol. 4, No. 2, January, 2003, pp. 163 – 178.
    [abstract] [pdf] [doc] [bibtex]
  4. J. Castro, J. Secretan, M. Georgiopoulos, R. F. DeMara, G. Anagnostopoulos, and A. J. Gonzalez, “Pipelining of Fuzzy-ARTMAP without Match-Tracking: Correctness, Performance Bound, and Beowulf Evaluation,” submitted to Neural Networks on December 27, 2004.
    [abstract] [pdf] [bibtex]
  5. S. H. Chung, D. I. Moldovan, and R. F. DeMara, “A Parallel Computational Model for Integrated Speech and Natural Language Understanding,” IEEE Transactions on Computers, Vol. 42, No. 10, October, 1993, pp. 1171 – 1183
    [abstract] [pdf] [bibtex]

Conference Proceedings

  1. J. Castro, J. Secretan, M. Georgiopoulos, R. F. DeMara, G. Anagnostopoulos, and A. Gonzalez, “Pipelining Fuzzy ARTMAP without Match-Tracking,” in Proceedings of the 2004 Artificial Neural Networks in Engineering (ANNIE’04) Conference, St. Louis, Missouri, U.S.A., November 7 – 10, 2004.
    [abstract] [pdf] [bibtex]
  2. J. Castro, M. Georgiopoulos, R. F. DeMara and A. J. Gonzalez, “A Data Partitioning Approach to speed up the Fuzzy ARTMAP algorithm using the Hilbert Space-Filling Curve,” in Proceedings of the 2004 International Joint Conference on Neural Networks (IJCNN’04), Budapest, Hungary, July 25 – 29, 2004.
    [abstract] [pdf] [bibtex]
  3. J. Castro, M. Georgiopoulos, J. Secretan, R. F. DeMara, G. Anagnostopoulos, and A. J. Gonzalez, “Parallelization of Fuzzy ARTMAP to Improve its Convergence Speed: The Boxing Approach and the Data Partitioning Approach,” in Proceedings of the Fourth World Congress of Nonlinear Analysts (WCNA’04), Orlando, Florida, U.S.A., June 30 – July 7, 2004.
    [abstract] [pdf] [doc] [bibtex]
  4. M. Georgiopoulos, J. Castro, E. Gelenbe, R. F. DeMara, A. J. Gonzalez, M. Kysilka, M. Mollaghasemi, and A. S. Wu, "CRCD Experiences at the University of Central Florida: An NSF Project," in Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition (ASEE’04), pp. 2432: 1 – 23, Salt Lake City, Utah, U.S.A., June 20 – 23, 2004.
    [abstract] [pdf] [bibtex]
  5. J. Castro, M. Georgiopoulos, R. F. DeMara, and A. J. Gonzalez, “A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines,” in Proceedings of the Seventieth International Florida Artificial Intelligence Research Symposium (FLAIRS’04), Miami Beach, Florida, U.S.A., May 17 – 19, 2004.
    [abstract] [pdf] [bibtex]
  6. M. Georgiopoulos, J. Castro, A. Wu, R. F. DeMara, E. Gelenbe, A. J. Gonzalez, M. Kysilka, and M. Mollaghasemi, “CRCD in Machine Learning at the University of Central Florida: Preliminary Experiences,” in Proceedings of the Eight Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE-2003), pp. 249, Thessaloniki, Greece, June 30 – July 2, 2003.
    [abstract] [pdf] [bibtex]
  7. M. Georgiopoulos, R. F. DeMara, E. Gelenbe, A. Gonzalez, M. Kysilka, M. Mollaghasemi, A. Wu, and I. Russell, “Machine Learning Advances for Engineering and Science Education: A CRCD Experience at the University of Central Florida”, in Proceedings of the Thirteenth International Conference on Artificial Neural Networks (ICANN’03), pp. 465 – 468, Istanbul, Turkey, June 26 – 29, 2003.
    [abstract] [pdf] [bibtex]
  8. M. Georgiopoulos, I. Russell, J. Castro, A. Wu, M. Kysilka, R. F. DeMara, A. Gonzalez, E. Gelenbe, and M. Mollaghasemi, “A CRCD Experience: Integrating Machine Learning Concepts into Introductory Engineering and Science Programming Courses,” in Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition (ASEE’03), pp. 1332: 1 – 20, Nashville, Tennessee, U.S.A., June 22 – 25, 2003.
    [abstract] [pdf] [bibtex]
  9. Y. Ma and R. F. DeMara, “Localized Knowledge Representation Scheme for Parallel Processing,” in Proceedings of the Fourth Joint Conference on Information Sciences (JCIS’98), pp. 81 – 86, Research Triangle Park, North Carolina, U.S.A., October 24 – 28, 1998.
    [abstract] [pdf] [bibtex]
  10. H. Bahr, R. F. DeMara, and M. Georgiopoulos, “Integer-Encoded Massively Parallel Processing of Fast-Learning ARTMAP Networks,” in Proceedings of the 1997 SPIE AeroSense Symposium (AeroSense’97), pp. 678 – 689, Orlando, Florida, U.S.A., April 21 – 24, 1997.
    [abstract] [pdf] [bibtex]
  11. R. A. Cagle, R. B. Holl, and R. F. DeMara, “Multifunction Content Addressable Memory for Parallel Speech Understanding,” in Proceedings of the 1994 IEEE Southcon Conference (Southcon’94), pp. 320 – 325, Orlando, Florida, U.S.A., March 29 – 31, 1994.
    [abstract] [pdf] [bibtex]
  12. J. D. Roberts, R. F. DeMara, G. Ellis, R. Hughey, R. Levinson, and C. Noshpitz, “AHP: Advanced Hardware for PIERCE,” in Proceedings of the Second International Workshop on PIERCE, pp. 26 – 29, Quebec, Canada, August 7, 1993.
    [abstract] [pdf] [bibtex]
  13. S. H. Chung, R. F. DeMara, and D. I. Moldovan, “PASS: a parallel speech understanding system,” in Proceedings of the Ninth IEEE Conference on AI for Applications (CAIA-93), pp. 136 – 142, Orlando, Florida, U.S.A., March 1 – 5, 1993.
    [abstract] [pdf] [bibtex]
  14. R. F. DeMara and H. Kitano, “Benchmarking Performance of Massively Parallel AI Architectures,” in Proceedings of the Fourth Symposium on the Frontiers of Massively Parallel Computation, pp. 517 – 520, McLean, Virginia, U.S.A., October 19 – 21, 1992.
    [abstract] [pdf] [bibtex]
  15. R. F. DeMara and D. I. Moldovan, “Marker-Passing on a Parallel Knowledge Processing Testbed,” in Proceedings of the First International Conference on Parallel and Distributed Information Systems (PDIS’91), pp. 180, Miami, Florida, U.S.A., December 4 – 6, 1991.
    [abstract] [pdf] [bibtex]
  16. R. F. DeMara and H. Kitano, “PACE Benchmark Set,” in Proceedings of the 1991 International Joint Conference on Artificial Intelligence (IJCAI’91) – Workshop on Parallel Processing for AI, pp. 517 – 520, Sydney, Australia, August 24 – 25, 1991.
    [abstract] [pdf] [bibtex]
  17. R. F. DeMara and D. I. Moldovan, “Performance Indices for Parallel Marker-Propagation,” in Proceedings of the 1991 International Conference on Parallel Processing (ICPP-91), pp. 658 – 659, St. Charles, Illinois, U.S.A., August 12 – 16, 1991.
    [abstract] [pdf] [bibtex]
  18. R. F. DeMara and D. I. Moldovan, “A DSP Architecture for Parallel AI Processing,” in Proceedings of the 1991 TMS320 Educators Conference, Houston, Texas, U.S.A., July 31 – August 2, 1991.
    [abstract] [pdf] [bibtex]
  19. R. F. DeMara and D. I. Moldovan, “Design of a Clustered Multiprocessor for Real-time Natural Language Understanding,” in Proceedings of the Fifth International Parallel Processing Symposium (IPPS’91), pp. 270 – 277, Anaheim, California, U.S.A., April 30 – May 2, 1991.
    [abstract] [pdf] [bibtex]
  20. R. F. DeMara, “Characterizing Marker-Propagation Mechanisms,” in Proceedings of the First Workshop on Abstract Machine Models for Highly Parallel Computers, pp. 77 – 82, Leeds, United Kingdom, March 25 – 27, 1991.
    [abstract] [pdf] [bibtex]
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