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Publications
a. Textbook
Fuzzy and Neural Approaches in Engineering, Tsoukalas*, L.H., Uhrig*, R.E., John Wiley & Sons, New York, NY, 1997 (606 pages). Second printing.
b. Archival Journal Papers
1. “Monitoring Performance of Devices Using a Coupled
Probability Possibility Method,” Ragheb*, M., and Tsoukalas*,
L.H., International Journal of Expert Systems, Research and Applications,
Vol. 1, 111-130, 1988.
2. “Reconstructive Inverse Dynamics Control and Application to Xenon
Induced Power Oscillations in PWRs,” Berkan*, R.C., Upadhyaya*, B.R., Tsoukalas*,
L.H., and Kisner, R. A., Nuclear Science and Engineering,
No. 109, 188-199, 1991.
3. “Advanced Automation Concepts for Large-Scale Systems,” Berkan*
R. C., Upadhyaya*, B.R., Tsoukalas*, L.H., Kisner, R. A. and Bywater,
R. L, IEEE Control Systems, Vol. 11, No. 6, 4-12, October 1991.
4. “Neural-Net Extrapolations of Heat Capacities of Polymers to Low
Temperatures,” Darsey*, J. A., Noid, D. W., Wunderlich, B., and Tsoukalas,
L.H., Journal of Macromolecular Chemistry and Physics , Vol. 12,
325-330, 1991.
5. “Integration of Neural Networks with Fuzzy Reasoning for Measuring
Operational Parameters in a Nuclear Reactor,” Ikonomopoulos*, A., Tsoukalas*,
L.H., and Uhrig, R.E., Nuclear Technology, Vol. 104, 1-12, October 1993.
6. “Neurofuzzy Motion Planners for Intelligent Robots,” Tsoukalas*,
L.H., Houstis, E.N., Jones, G.V., International Journal of Intelligent
Systems and Robotics, Vol. 19, 339-356, 1997.
7. “Soft Computing Technologies in Nuclear Engineering Applications,”
Uhrig*, R.E., Tsoukalas*, L.H., Progress in Nuclear Energy, Vol.
34, No. 1, pp. 13-75, 1999.
8. “Hypermedia Integration of Information Resources for Nuclear
Plant Operations,” Tsoukalas*, L.H., Uhrig, R.E., Nuclear Technology,
Volume 119, Number 1, pp 48-62, July 1997.
9. “Neurofuzzy Anticipatory Systems: A New Approach to Intelligent
Control,” Tsoukalas*, L.H., International Journal on Artificial Intelligence
Tools, Tsoukalas, L.H., Vol. 6, No. 3, pp 365-395, 1997.
10. “Neurofuzzy Approaches and their Application to Nuclear Power
Systems,” Uhrig*, R.E., Tsoukalas*, L.H., Journal of Computers and
Artificial Intelligence, Vol. 17, No. 2-3, pp 169-188, 1998.
11. “A Neurofuzzy Methodology for Impedance-Based Multiphase Flow Identification,”
Tsoukalas*, L.H., Mi.*, Y, Ishii*, M., International Journal of Engineering
Applications of Artificial Intelligence, Vol. 10, No. 6, pp 545-555, Pergamon
Press, London, 1997,
12. “Neurofuzzy Approaches to Anticipation: A New paradigm for Intelligent
Systems,” Tsoukalas*, L.H., IEEE Transactions on Systems, Man and
Cybernetics, Volume 28, Number 4, pp 573-582, August 1998.
13. “Financial Prediction and Trading Strategies Using Neurofuzzy Approaches,”
Pantazopoulos*, K.N., Tsoukalas*, L.H., Bourbakis, N.G., Br?n, M.J., Houstis,
E.N., IEEE Transactions on Systems, Man and Cybernetics, Vol. 29,
No. 4, pp. 520-531, 1998.
14. “Vertical Two-Phase Flow Identification Using Advanced Instrumentation
and Neural Networks,” Mi*, Y., Ishii*, M., and Tsoukalas*, L.H., Nuclear
Engineering Design, pp 409-420, 1998.
15. “Flow Regime Identification with Neural Networks Based on Impedance
Measurements,” Mi*, Y., Tsoukalas*, L.H., Ishii, M., Li, M., International
Journal of Heat and Mass Transfer, (Accepted: May 97).
16. “Core Damage Severity Evaluation for Pressurized Water Reactors,”
Mironidis*, A., Lidofsky, L., Grochowski, G., and Tsoukalas*, L.H., Nuclear
Technology, (Accepted, October 1998)
17. “Three D Visualization of Multiphase Flow,” Fieno*, T., Mi, Y.,
Ishii*, M., Tsoukalas*, L.H., International Journal on Artificial Intelligence
Tools, (Accepted, 1998).
18. “Fuzzy Indices for Similarity Matching,” Tolias*, Y., Panas*, S.,
and Tsoukalas*, L.H., International Journal of Fuzzy Sets and Systems,
(Accepted, January 1999).
d. Articles in Books (reviewed)
1. “A Production-Rule Analysis System for Nuclear Plant Monitoring
and Emergency Response Applications,” Ragheb, M., Tsoukalas, L.H., McDonough,
T., and Parker, M., in the book Artificial Intelligence and
other Innovative Computer Applications in the Nuclear Industry, M. C. Majumdar,
D. Majumdar and J. I. Sackett, Eds., Plenum Press, New York, 231-238, 1988.
2. “Uncertainty Propagation in Production-Rule Systems Using
a Probability-Possibility Approach,” Ragheb, M., and Tsoukalas, L.H., in
the book Artificial Intelligence and other Innovative Computer Applications
in the Nuclear Industry, M. C. Majumdar, D. Majumdar and J. I. Sackett,
Eds., Plenum Press, New York, 863-873, 1988.
3. “Fuzzy Logic - Artificial Neural Networks Integration for
Transient Identification,” Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig,
R. E., in the book Intelligent Engineering Through Artificial Neural Networks,
C.H. Dagli, S.R.T. Kimura, Y.C. Shin, Eds, 255-260, American Society of
Mechanical Engineers Press, New York, 1991.
4. “Modeling Complex Systems with Artificial Neural Networks,”
Tsoukalas, L.H., and Ikonomopoulos, A., in the book Intelligent Engineering
Through Artificial Neural Networks, C.H. Dagli, S.R.T. Kimura, Y.C. Shin,
Eds, 281-587, American Society of Mechanical Engineers Press, New York,
1991.
5. “An Application of Neural Network Generated Fuzzy Reasoning
for Complex System Monitoring,” Ikonomopoulos, A., Tsoukalas, L.H., Uhrig,
R.E., and Pilarinou E., Intelligent Engineering Systems Through Artificial
Neural Networks, C.H. Dagli, L.I., Burke, Y.C. Shin, Editors, Volume 2,
739-744, American Society of Mechanical Engineers Press, New York, 1992.
e. Invited Articles in Books
1. “Uncertainty Modeling in Anticipatory Systems, Invited Contribution
in the book Analysis and Management of Uncertainty,” Tsoukalas, L.H.,
Ikonomopoulos, A., B.M. Ayyub, M.M. Gupta and L.N. Kanal Eds., Machine
Intelligence and Pattern Recognition Series, 79-91, Elsevier, North Holland.
1992.
2. “Fuzzy Neural Control,” Tsoukalas, L.H., Ikonomopoulos, A., Uhrig,
R.E., Invited Contribution, Chapter 15 in the book Artificial Neural Networks
for Intelligent Manufacturing, C. H. Dagli, Editor, 413-434, Chapman &
Hall, London, 1994.
3. “Neuro-Fuzzy Approaches to Anticipatory Control,” Tsoukalas, L.H.,
Ikonomopoulos, A., Uhrig, R.E., Invited Contribution, Chapter 13
of the Book Artificial Intelligent in Industrial Decision Making, Control
and Automation, S. Tzafestas, H. Verbrugen, Eds, 405-419, Kluwer Academic
Publishers, Amsterdam, 1995.
4. “Hybrid Artificial Intelligence Systems,” Tsoukalas L.H., Uhrig,
RE., Invited Contribution, The CRC Industrial Electronics Handbook,
Chapter 106, 1326-1359, CRC & IEEE Press, 1997.
5. “Experts Systems and their Use in Complex Engineering Systems,”
Uhrig, RE., and Tsoukalas L.H., Invited Contribution, The CRC Industrial
Electronics Handbook, Chapter 56, 824-834, CRC & IEEE Press, 1997.
f. Papers In Proceedings (reviewed)
1. “A Coupled Probability-Possibility Method for Decision-Making
in Knowledge-Based Systems,” Ragheb, M. and Tsoukalas, L.H.,
Proc. of Knowledge-Based Expert Systems for Manufacturing, S. C-Y. Lu,
R. Commanduri, Eds., ASME, pp. 97-105, New York, 1986.
2. Tsoukalas, L.H., and Ragheb, M., “Coupled Probabilistic and
Possibilistic Uncertainty Estimation in Ruled-Based Analysis Systems, Proceedings
of Applications of Artificial Intelligence V, J. F. Gilmore, Ed., SPIE,
Volume 786, 1987.
3. “Performance Monitoring and Diagnosis in a Process Environment
Using a Probability-Possibility Approach,” Tsoukalas, L.H., and Ragheb,
M., Proceedings of Manufacturing International ‘88:Symposium on Manufacturing
Systems - Design, Integration, and Control, G. Chryssolouris, B. Von Turkovich,
and P Francis, Eds., American Society of Mechanical Engineers (ASME), New
York, 1988.
4. “An On-Line Model-Based System for Nuclear Plant Monitoring,”
Tsoukalas, L.H., Lee, G. W., Ragheb, M., McDonough, T., Niziolek, F., and
Parker, M., Applications of Artificial Intelligence VII, M. Trivendi, Ed.,
Proceedings of SPIE, Volume 1095, 372-380, April 1989.
5. “Anticipatory Monitoring and Control in a Process Environment,”
Tsoukalas, L.H., Lee, G. W., and Ragheb, M., Proceedings of The Second
International Conference on Industrial and Engineering Applications of
Artificial Intelligence & Expert Systems IEA/AIE-89, ACM/SIGART,
Tullahoma, Tennessee, June 6-9, 1989.
6. “Hybrid Expert System - Neural Network Methodology for Nuclear
Plant Monitoring and Diagnostics,” Tsoukalas, L. H., and Reyes-Jimenez,
J., Proceedings of SPIE The International Society for Optical Engineering,
Applications of Artificial Intelligence VIII, Volume 1293, 1024-1030, Orlando,
Florida, April 17-19, 1990.
7. “An Expert System that Aids Reactor Operations Personnel in
the Event of a Severe Accident,” Tsoukalas, L. H., and Boshers J. A., Proceedings
of SPIE, The International Society for Optical Engineering, Applications
of Artificial Intelligence VIII, Volume 1293, 74-84, Orlando, Florida,
April 17-19, 1990.
8. “A Methodology for Uncertainty Management in Knowledge-Based
Systems Employed within the Anticipatory Paradigm,” Tsoukalas, L. H., Berkan,
R. C., and Ikonomopoulos, A., Proceedings of the Third International Conference
of Information Processing and Management of Uncertainty in Knowledge-Based
Systems, IPMU, 77-80, Paris, July 2-6, 1990.
9. “The Concept of Learning Equilibrium Dynamics in the Development
of Solid Networks,” Proceedings of the International Neural Network Conference
INNC 90, pp. 920-924, Kluwer Academic Publishers, Paris, 9-13 July, 1990.
10. “A Hybrid Expert System-Neural Networks Methodology for Anticipatory
Control in a Process Environment,” Tsoukalas, L. H., and Reyes-Jimenez,
J., Proceedings of The Third International Conference on Industrial
and Engineering Applications of Artificial Intelligence and Expert Systems
IEA/AIE-90, 1045-1053, Association for Computing Machinery ACM/SIGART,
Charleston, South Carolina, July 15-18,1990.
11. “Expert System Driven Fuzzy Control Application to
Power Reactors,” Tsoukalas, L. H., Berkan, R. C., Upadhyaya, B. R., and
Uhrig, R. E., Proceedings of the IEEE-Computer Society International
Conference on Tools for Artificial Intelligence, 445-450, Washington DC,
November 6-9,1990.
12. “Uncertainty Modeling in Anticipatory Systems,” Tsoukalas,
L. H., Berkan, R. C., and Ikonomopoulos, A., Proceedings of the International
Symposium on Uncertainty Modeling and Analysis, Institute of Electrical
and Electronic Engineers(IEEE)-Computer Society Press, 366-371, College
Park, Maryland, December 3-5, 1990.
13. “Intelligent Control using Fuzzy Logic in Nuclear Reactor
Systems,” Tsoukalas, L.H., Berkan, R. C., Upadhyaya, B. R., and Kisner,
R. A., Proceedings of ANS Topical Meeting - Advances in Mathematics,
Computations and Reactor Physics, 8.2 2-1 - 8.2 2-12, Pittsburgh, Pennsylvania,
April 28-May 1, 1991.
14. “Hybrid Expert System - Neural Network Methodology for Transient
Identification,” Tsoukalas, L.H., Ikonomopoulos, A., and Uhrig R. E.,
Invited Contribution, Proceedings of American Power Conference, Vol. 53-II,
1206-1211, Chicago, April 29-May 1, 1991.
15. “Fuzzy Control Paradigm Application to Automated Start-up
of Nuclear Reactors,” Berkan, R. C., Tsoukalas, L. H., and Sofu, T.,
Proceedings of the International Conference on the Analysis of Thermal
and Energy Systems (ATHENS ‘91), American Society of Mechanical Engineers(ASME),
Athens, 857-867, June 3-6, 1991.
16. “Knowledge-Based Modeling of Power Plant Systems within the
Anticipatory Paradigm,” Tsoukalas, L. H., Bargiotas, D., and Berkan, R.
C., Proceedings of the International Conference on the Analysis of
Thermal and Energy Systems (ATHENS ‘91), American Society of Mechanical
Engineers(ASME), 845-855, Athens, June 3-6, 1991.
17. “Radiation Protection Optimization using a Knowledge-Based
Methodology,” Reyes-Jimenez, J. and Tsoukalas, L.H., Proceedings
of AI 91: Frontiers in Innovative Computing for the Nuclear Industry, 801-810,
ANS Topical Meeting, Jackson, Wyoming, September 15-18, 1991.
18. “Fault Tolerant Strategies for Automated Nuclear Reactor
Operations,” Berkan, R. C., Upadhyaya, B. R., and Tsoukalas, L.H,
Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear
Industry, 664-673, ANS Topical Meeting, Jackson, Wyoming, September 15-18,
1991.
19. “Hypertext-Based Integration for Nuclear Plant Maintenance
and Operations,” Tsoukalas, L.H., Upadhyaya, B. R., and Clapp, N.,
Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear
Industry, 207-216, ANS Topical Meeting, Jackson, Wyoming, September 15-18,
1991.
20. “A Hybrid Neural Network-Fuzzy Logic Approach to Nuclear
Power Plant Transient Identification,” Ikonomopoulos, A., Uhrig, R. E.,
and Tsoukalas, L.H, Proceedings of AI 91: Frontiers in Innovative
Computing for the Nuclear Industry, 217-226, ANS Topical Meeting, Jackson,
Wyoming, September 15-18, 1991.
21. “Monitoring Nuclear Reactor Systems using Neural Networks
and Fuzzy Logic,” Ikonomopoulos, A., Tsoukalas, L.H., Mullens, J., and
Uhrig, R.E., Proceedings American Nuclear Society 1992 Topical Meeting,
Advances in Reactor Physics, Charleston, S. Carolina, March 8-11, 1992.
22. “Measuring Fuzzy Values through Artificial Neural Networks,”
Ikonomopoulos, A., Tsoukalas, L.H., Uhrig, E.E., Proceedings of The
Third International Fuzzy Systems and Intelligent Control Conference IFSICC
92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, 60-67, Louisville, Kentucky,
March 15-18, 1992.
23. “Fuzzy Logic Based Virtual Sensor Technology for Intelligent
Plant Control,” Berkan, R.C., Tsoukalas, L.H., Upadhyaya, B.R., Proceedings
of The Third International Fuzzy Systems and Intelligent Control Conference
IFSICC 92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, 161-169, Louisville,
Kentucky, March 15-18, 1992.
24. “A Fuzzy Graph Methodology for Navigating Hypermedia Databases,”
Tsoukalas, L.H., Berkan, R.C., Upadhyaya, B.R, Proceedings of The
Third International Fuzzy Systems and Intelligent Control Conference IFSICC
92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, 185-193, Louisville, Kentucky,
March 15-18, 1992.
25. “Use of Neural Networks to Monitor Power Plant Components,”
Ikonomopoulos, A., Uhrig, R.E., and Tsoukalas, L.H., Invited Contribution,
Proceedings of American Power Conference, Volume 54-II, 1132-1137, 54th
Annual Meeting, Chicago, April 13-15, 1992.
26. “Virtual Measurements using Neural Networks and Fuzzy Logic,
Invited Contribution,” Tsoukalas, L.H., Ikonomopoulos, A., and Uhrig, R.E.,
Proceedings of American Power Conference, Volume 54-II, 1437-1442,
54th Annual Meeting, Chicago, April 13-15, 1992.
27. “Diagnostics and Control of Pressurized Reactors using Artificial
Neural Networks,” Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E.,
Invited Contribution, Applications of Artificial Neural Networks
III, S.K. Rogers, Ed, Proceedings of SPIE-The International Society for
Optical Engineering, Volume 1709, 982-989, Orlando, Florida, April 20-24,
1992.
28. “Expert Systems for On-line Power Plant Applications: An
Overview,” Tsoukalas, L.H., Invited Contribution, Proceedings
of 8th Power Plant Dynamics Control & Testing Symposium, 47.01-47.10,
Knoxville, TN, May 27-29, 1992.
29. “A Fuzzy - Neural Methodology for Power Plant Virtual Measurements,”
Ikonomopoulos, A., Tsoukalas, L. H., Uhrig, R.E., Proceedings
of 8th Power Plant Dynamics Control & Testing Symposium, 48.01-48.07,
Knoxville, TN, May 27-29, 1992.
30. “A Criticality Alarm Generating Logic Design using Fault-Tree
Methodology and Expert Systems,” Basoglu, B., Tsoukalas, L. H., and Dodds
H.L., Proceedings of 8th Power Plant Dynamics Control & Testing Symposium,
49.01-49.09, Knoxville, TN, May 27-29, 1992.
31. “Measuring Fuzzy Variables in Nuclear Reactor using Artificial
Neural Networks,” Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E.,
Proceedings of the Summer Workshop on Neural Network Computing for the
Electric Power Industry, Stanford, California, 1992.
32. “Generalized Measurements in Neuro-Fuzzy Systems,” Tsoukalas,
L.H., Ikonomopoulos, A., and Uhrig, R.E., Proceedings of the IEEE
International Workshop on Neuro-Fuzzy Control, 65-71, Muroran, Japan, March
22-23, 1993.
33. “Measurement of Fuzzy Values Using Artificial Neural Networks
and Fuzzy Arithmetic,” Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E.,
Proceedings of the IEEE International Conference on Fuzzy Systems, FUZZ-IEEE’93,
357-362, San Francisco, USA, March 28-April 1, 1993.
34. “Application of Fuzzy Methodologies in I&C,” Ikonomopoulos,
A., and Tsoukalas, L.H., Invited Contribution, Proceedings
of the Topical Meeting on Nuclear Plant Instrumentation, Control &
Man-Machine Interface Technology, 608-615, American Nuclear Society, Oak
Ridge, Tennessee, April 18-21, 1993.
35. “Modeling Complex Systems with Neural Network Generated Fuzzy
Reasoning,” Ikonomopoulos A., Uhrig, R.E., and Tsoukalas, L.H., IEEE
Proceedings of the Second International Forum on Applications of Neural
Networks to Power Systems, 415-420, Yokohama, Japan, April 19-22, 1993.
36. “Neurofuzzy Virtual Measurements in Reactor Systems,” Tsoukalas
L. H., Ikonomopoulos, A., Shinohara, Y., Shimazaki, J., Uhrig., R.E.,
Proceedings of the 1993 Annual Meeting of the Atomic Energy Society of
Japan , p. 387, Kyoto, Japan, April 1993.
37. “A Hybrid Neural Network - Fuzzy Arithmetic Methodology for
Performing Virtual Measurements in A Complex System,” Ikonomopoulos, A.,
Tsoukalas, L.H., and Uhrig, R.E., Proceedings of the Third Annual
Joint ISA-POWID/EPRI Controls And Instrumentation Conference, Phoenix,
Arizona, June 7-9,1993.
38. “Two-Sensor Network Modelling for Fault Detection,” Uhrig,
R.E., Alguidingue, I., Loskewicz, A., Ikonomopoulos A., Tsoukalas, L.,
Proceedings of the ICANN’93 Conference, Amsterdam, The Netherlands, September
1993
39. “Using Neural Networks to Monitor the Operability of Check
Valves,” Uhrig, R.E., Tsoukalas, L.H., Ikonomopoulos, A., Essawy, M., Black.,
Yancey, S., in Proceedings of the EPRI Conference on Expert System
Applications for the Electric Power Industry, Phoenix, Arizona, December
8-10, 1993.
40. “Fuzzy Implication Operators in Prediction Problems,” Tsoukalas,
L.H. and Bargiotas, D.T., Proceedings of the 9th Power Plant Dynamics,
Control & Testing Symposium, 66.01-66.13, May 24-26, 1995.
41. “Virtual Measurement and Prediction in Human-Centered Automation,”
Tsoukalas, L.H., Proceedings of the ANS Topical Meeting on Computer-Based
Human Support Systems: Technology, Methods and Future, 235-241, Philadelphia,
PA, June 25-29, 1995.
42. “Application of Neural and Fuzzy Technologies in Soft Computing,”
Uhrig, R.E., and Tsoukalas, L.H., Proceedings of the International
Workshop on Soft Computing in Industry ‘96, Muroran, Japan, April 27-28,
1996.
43. “Neurofuzzy Modeling of Complex Systems and Anticipatory
Control,” Tsoukalas, L.H., Xinqing, L., and Uhrig, R.E., Proc.
of the 4th International Workshop on Functional Modeling of Complex Technical
Systems, M. Modarres, Ed., 163-172, Athens, June 19-20, 1996.
44. “Hybrid Fuzzy-Neural Flow Identification Methodology,” Mi,
Y., Tsoukalas, L.H., Ishii, M., Li, M., and Xiao, Z., Proc. of the
IEEE International Conference on Fuzzy Systems, Vol. 3, 1332-1338, New
Orleans, September 8-11, 1996.
45. “A Neurofuzzy Approach for the Anticipatory Control of Complex
Systems,” Xinqing, L., Tsoukalas, L.H and Uhrig, R.E., Proc. of the
IEEE International Conference on Fuzzy Systems, Vol. 1, 587-593,
New Orleans, September 8-11, 1996.
46. “Modeling Instructible Robots for Waste Disposal Applications,”
Tsoukalas, L.H., and Bargiotas, D., Proc. of IEEE International Joint
Symposia on Intelligence and Systems, 202-207, Gaithersburg, Maryland,
Nov. 4-5, 1996.
47. “Impedance Void-Meter and Neural Networks for Vertical Two-Phase
Flows,” Mi, Y., Li, M., Xiao, Z., Tsoukalas L.H., and Ishii, M.,
Proc. of OECD/CSNI Specialist Meeting on Advanced Instrumentation and Measurement
Techniques, Santa Barbara, California, March 17-20, 1997 (in press).
48. “Neurofuzzy Characterization of Financial Time Series in
and Anticipatory Framework,” Pantazopoulos, K.N., Tsoukalas, L.H., and
Houstis, E.N., Proc. of IEEE/IAFE International Conference on Computational
Intelligence for Financial Engineering, New York, March 23-25, 1997 (in
press).
49. “Surveillance and Predictive Operability of Check Valves
Using Neural Networks,” Uhrig, R.E., Tsoukalas, L.H., Ikonomopoulos, A.,
Essawy, M., Black, C., and Yancey, S., Proc. of the International
Maintenance and Reliability Conference, MARCON 97, 62.01-62.13, Knoxville,
TN, May 20-22, 1997.
50. “Plant Life Extension Through Neurofuzzy Analysis of Stem
Generator Performance,” Wilson, B., Solomon, A.A., and Tsoukalas, L.H.,
Proc. of the International Maintenance and Reliability Conference, MARCON
97, 19.01-19.09, Knoxville, TN, May 20-22, 1997.
51. “Application of Parallel Computing and Neural Networks to
Probabilistic Risk Assessment,” Chai, J., Downar, T.J., and Tsoukalas,
L.H., Proc. of the International Maintenance and Reliability Conference,
MARCON 97, 63.01-63.14, Knoxville, TN, May 20-22, 1997.
52. “Performance of Impedance Void-Meter in Vertical Slug Flow,”
Mi, Y., Li, M., Xiao, Z., Tsoukalas, L.H., and Ishii, M., Transactions
of American Nuclear Society, pp. 298-299, Orlando Florida, June 1-5, 1997.
53. “Neural Identification of Horizontal Two-Phase Flows,” Li,
M., Mi, Y., Xiao, Z., Hibiki, T., Tsoukalas, L.H., and Ishii, M.,
Transactions of American Nuclear Society, pp. 167-168, Orlando Florida,
June 1-5, 1997.
54. “Neurofuzzy Models of Component-System Interactions,” Tsoukalas,
L.H. and Uhrig, R.E., Proc. of the 5th International Workshop
on Functional Modeling of Complex Technical Systems, M. Modarres, Ed.,
Paris, July 1-3, 1997.
55. “The Role of Anticipation in Intelligent Control Systems:
A Neurofuzzy Approach,” Xinqing, L., and Tsoukalas, L.H., Proc. of
the IEEE International Conference on Intelligent Systems Applications to
Power Systems, ISAP97, Seoul Korea, July 6-10, 1997.
56. “Impedance Void Meter and Neural Networks for Vertical Two-Phase
Flows,” Y. Mi, M. Li, Z. Xiao, M. Ishii, L. H. Tsoukalas, Proceeding of
the OECD/CSNI Specialist Meeting on Advanced Instrumentation and Measurement
Techniques, Santa Barbara, California, pp.391-404, 1997.
57. “Application of Magnetic Flow Meter in Vertical Two-Phase
Slug Flows,” Mi, Y., Tsoukalas, L.H., and Ishii, M., Proc. of 1997
National Heat Transfer Conference, Vol. 10, pp. 134-139, Baltimore, Maryland,
August 10-12, 1997.
58. “IGENPRO “Morman, J.A., Reifman, J., Vitela, J.E., Wei, T.Y.C.,
Applequist, C.A., Hippley P., and Tsoukalas L.H., Proc. of the IAEA
Meeting on Advanced Technologies for Improving Availability and Reliability
for Current and Future Water Cooled Nuclear Power Plants, Chicago, Illinois,
8-11 September, 1997.
59. “Hypermedia Integration of Information Resources for Plant
Operations,” Tsoukalas, L.H. and Uhrig, R.E., Proc. Of ISAS 97 Conference
on Intelligent Systems and Semiotics, NIST, Gaithersburg, Maryland, September
22-25, 1997.
60. “Path Planning in a 2-D Known Space using Neural Networks
and Skeletonization,” Bourbakis, N.G., Goldman, D., Fematt, R., Vlachavas,
I., and Tsoukalas, L.H., Prc. Of 1997 IEEE Intern. Conf. On Systems, Man
and Cybernetics, Orlando, Florida, Oct. 12-19, 1997.
61. “A New Hybrid Neural-Genetic Methodology for Improving Learning,”
Likavtsis, A., Vlachavas, I., and Tsoukalas, L.H., Proc. Of 9th IEEE International
Converence on Tools with Artificial Intelligence, Newport Beach, CA, November
4-7, 1997.
62. “Application of Multiple Self-Organizating Neural Networks:
Flow Pattern Classification,” Mi, Y., Tsoukalas, L.H., and Ishii, M., Transactions
of ANS, Winter Meeting, Albuquerque, New Mexico, Vol. 77, pp114-115, November
16-20, 1997.
63. “IGENPRO Knoweledge-Based Digital Systems for Process Transient
Diagnosticsa and Managemetn,” Morman, J.A., Reifman, J., Vitela, J.E.,
Wei, T.Y.C., Applequist, C.A., Hippley, P., Kuk, W., Tsoukalas, L.H., Proc.
of IAEA International Conf. on Advnced Technoliges for Improving Availability
and Reliability of Current and Future Water Cooled Nuclear Power Plants,
Chicago, Illinois, September 8-11, 1997.
64. “IGENPRO Knowledge-Based Operator Support System,” Morman,
J.A., Reifman, J., Vitela, J.E., Wei, T.Y.C., Chai, J., and Tsoukalas,
L.H., Proc. of ANS International Meeting on Safety of Operating Reactors,
Oct. 11-14, San Francisco, 1998
65. “Core Damage Severity Evaluation for Pressurized Water reactors
by Artificial Intelligence Methods," Mironidis, T., Lidofsky, L., Grochowski,
G., Tsoukalas, L., Proc. of the International Conference on the Physics
of Nuclear Science and Technology, Vol. 2., pp 833-840, New York, Oct.
5-8 1998.
66. “Safety Assessment of Nearly-Optimized Pressurized Water
reactor Core Configurations by Multi-Valued Possibilistic Processing,”
Proc. of the International Conference in Probabilistic Safety Assessment,
New York, Sept. 1999 (to appear).
67. “Neurofuzzy Approaches for Intelligent Man-Machine Interfaces
and Human-Centered Automation, Gao, R., Eryurek, E., Uluyol, O., Tsoukalas,
L.H., Proc. of the European Control Conference, May, 1999 (to appear).
68. “Flow Regime Identification Methodology with Neural Networks
and Two-Phase Flow,” Mi, Y., Tsoukalas, L.H., and Ishii, M., NURETH-9,
San Francisco, October 3-8, 1999
69. “Investigation of Vertical Slug Flow with Advanced Two-Phase
Flow Instrumentation,” Mi, Y., Ishii, M, and Tsoukalas, L.H.,. NURETH-9,
San Francisco, October 3-8, 1999
70. “Engineering Anticipatory Systems with Neurofuzzy Tools,”
Tsoukalas, L.H., International Conference on Anticipatory Systems, Liege,
Belgium, Aug. 8-13 1999 (Invited).
g. Invited Papers Published in Proceedings and Transactions
1. “Plant Monitoring Using Possibilistic-Probabilistic Methodologies,”
Ragheb, M., and Tsoukalas, L.H., Invited Contribution, Transactions
of ANS, 1987 Winter Meeting of the American Nuclear Society, Los Angeles,
California, November 15-19, 1987.
2. “A Methodology for Performing Virtual Measurement in a Nuclear Reactor
System,” Ikonomopoulos, A., Uhrig, R.E., and Tsoukalas, L.H., Invited Contribution,
Transactions of American Nuclear Society 1992 Winter Meeting, 106-109,
Chicago, Illinois, November 15-20, 1992.
3. “Application of Neural and Fuzzy Systems to Power Plants,” Uhrig,
R.E., and Tsoukalas, L.H., Invited Contribution, Proceedings of IEEE International
Conference on Computational Intelligence, (Orlando, June 1994), 3703-3717,
IEEE Press, 1994.
4. “Applications of Neural and Fuzzy Technologies in Soft Computing,”
Uhrig, R.E., and Tsoukalas, L.H. Invited Contribution, Proc. of IEEE
International Workshop in Soft Computing, Muroran, Japan, April 22-26,
1996.
5* “Application of Neural and Fuzzy Technologies in Soft Computing,”
Uhrig, R.E., and Tsoukalas, L.H., Invited Contribution, Proceedings
of the International Workshop on Soft Computing in Industry ‘96, Muroran,
Japan, April 27-28, 1996.
6. “Modeling Instructible Robots for Waste Disposal Applications,”
Tsoukalas, L.H., and Bargiotas, D., Invited Contribution, Proc. of
IEEE International Joint Symposia on Intelligence and Systems, Gaithersburg,
Maryland, Nov. 4-5, 1996.
7* “Neurofuzzy Models of Component-System Interactions,”
Tsoukalas, L.H. and Uhrig, R.E., Proc. of the 5th International
Workshop on Functional Modeling of Complex Technical Systems, Invited Contribution,
M. Modarres, Ed., Paris, July 1-3, 1997.
8* Engineering Anticipatory Systems with Neurofuzzy Tools,” Tsoukalas,
L.H., International Conference on Anticipatory Systems, Liege, Belgium,
Aug. 8-13 1999 (Invited).
h. Major Technical Reports
1. Application of Neural Networks, Part I. To Determine the Operability
of Check Valves; Part II. To improve the Operation of Nuclear Power Plants,
Uhrig, R.E. and Tsoukalas, L.H.,, EPRI Reports, January 1994.
2. Development of Multiphase Flow Sensors and Diagnostic Systems, Ishii,
M., Tsoukalas, L.H., Mi, Y., Xiao, Z., and Li, M., Purdue University,
School of Nuclear Engineering Technical Report, PU/NE-96-6, November 1996.
3. Applications of Advanced Diagnostic Systems to the Development of
Multiphase Sensors, Mi, Y., Ishii, M., and Tsoukalas, L.H., Purdue University,
School of Nuclear Engineering Technical Report, PU/NE-98-2.
4. Financial Prediction and Trading Strategies Using Neurofuzzy Approaches,
Pantazopoulos, K.N., Tsoukalas, L.H., Bourbakis, N.G., Br?n, M.J., and
Houstis, E.N., Purdue University, Computer Sciences Technical Report
CSD-TR 97-002, January 1997.
5. An Investigation of Fuzzy Trends Algorithms of Nuclear Power Plant
Transients, Chai, J., Tsoukalas, L.H., Argonne National Laboratory Final
Report, March 1998.
3. Presentations
a. Invited Conference Paper Presentations
1. A Rule-Based Methodology for Monitoring Airborne Radioactivity in
Nuclear Power Plants, Tsoukalas, L. H., Reyes-Jimenez, J., and Boshers,
J. A., Invited Contribution, Summary in 7th Annual Meeting
of the Southeast Region Health Physics Society Chapters,” Charleston, South
Carolina, May 3-5,1990.
2. ALARA Practices to Minimize Occupational Radiation Exposure from
Contamination at Commercial Nuclear Power Plants, Reyes-Jimenez, J., and
Tsoukalas, L. H., Invited Contribution, Summary in Proceedings
of “7th Annual Meeting of the Southeast Region Health Physics Society Chapters,”
Charleston, South Carolina, May 3-5,1990.
3. Anticipatory Systems using Expert System - Neural Network Technologies,
Tsoukalas, L. H., and Ikonomopoulos, A., Invited Contribution, Presented
to the “31st Joint National Meeting TIMS/Operations Research Society of
America,” TIMS/ORSA Bulletin Number 31, 11, Nashville, Tennessee,
12-15 May, 1991.
4. Hybrid Expert System-Neural Network-Fuzzy Logic Methodology for
Transient Identification, Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig,
R.E., Invited Contribution, Proceedings of “2nd Government
Neural Network Applications Workshop,” Huntsville, Alabama, September
16-18, 1991.
***********************************************************************************************
By Year (Incomplete):
Tsoukalas, L.H., Uhrig, R.E., Fuzzy and Neural Approaches in Engineering, John Wiley & Sons, New York, NY, 1996 (in press).Tsoukalas, L.H., Uhrig, R.E., Hypermedia Integration of Information Resources for Nuclear Plant Operations, Journal of Nuclear Technology, 1996 (submitted).
Tsoukalas, L.H., Jones, G.V., Neurofuzzy Motion Planners for Intelligent Robots, International Journal of Intelligent Systems and Robotics, 1996 (in press).
Uhrig, R.E., Tsoukalas, L.H. Applications of Neural and Fuzzy Technologies in Soft Computing, Invited Contribution to Appear in Proc. of IEEE International Workshop in Soft Computing, Muroran, Japan, April 22-26, 1996.
Tsoukalas, L.H., Virtual Measurement and Prediction in Human-Centered Automation, Proceedings of the ANS Topical Meeting on Computer-Based Human Support Systems: Technology, Methods and Future, pp 235-241, Philadelphia, PA, June 25-29, 1995.Tsoukalas, L.H., Bargiotas, D.T., Fuzzy Implication Operators in Prediction Problems, Proceedings of the 9th Power Plant Dynamics, Control & Testing Symposium, pp 66.01-66.13, May 24-26, 1995.
Tsoukalas, L.H., Ikonomopoulos, A., Uhrig, R.E., Neuro-Fuzzy Approaches to Anticipatory Control, Chapter 13 of the Book Artificial Intelligent in Industrial Decision Making, Control and Automation, S. Tzafestas, H. Verbrugen, Eds, pp 405-419, Kluwer Academic Publishers, Amsterdam, 1995.
Uhrig, RE., Tsoukalas L.H., Hybrid Artificial Intelligence Systems, Invited Contribution, The CRC Industrial Electronics Handbook, CRC Press, (in press).
Uhrig, RE., Tsoukalas L.H., Experts Systems and their Use in Complex Engineering Systems, Invited Contribution, The CRC Industrial Electronics Handbook, CRC Press, (in press).
Tsoukalas, L.H., Ikonomopoulos, A., Uhrig, R.E., Fuzzy Neural Control, Invited Contribution, Chapter 15 in the book Artificial Neural Networks for Intelligent Manufacturing, C. H. Dagli, Editor, pp 413-434, Chapman & Hall, London, 1994.Uhrig, R.E., Tsoukalas, L.H., Application of Neural and Fuzzy Systems to Power Plants, to appear in Proceedings of IEEE International Conference on Computational Intelligence, Invited Contribution, (Orlando, June 1994), pp 3703-3717, IEEE Press, 1994.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., Integration of Neural Networks with Fuzzy Reasoning for Measuring Operational Parameters in a Nuclear Reactor, ANS Journal of Nuclear Technology, Vol. 104, pp 1-12, October 1993.Uhrig, R.E., Tsoukalas, L.H., Ikonomopoulos, A., Essawy, M., Black., Yancey, S., Using Neural Networks to Monitor the Operability of Check Valves, in Proceedings of the EPRI Conference on Expert System Applications for the Electric Power Industry, Phoenix, Arizona, December 8-10, 1993 (in press).
Uhrig, R.E., Alguidingue, I., Loskewicz, A., Ikonomopoulos A., Tsoukalas, L., Two-Sensor Network Modelling for Fault Detection, to Appear in the Proceedings of the ICANN'93 Conference, Amsterdam, The Netherlands, September 1993 (in press).
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., A Hybrid Neural Network - Fuzzy Arithmetic Methodology for Performing Virtual Measurements in A Complex System, Proceedings of the Third Annual Joint ISA-POWID/EPRI Controls And Instrumentation Conference, Phoenix, Arizona, June 7-9,1993.
Tsoukalas L. H., Ikonomopoulos, A., Shinohara, Y., Shimazaki, J., Uhrig., R.E., Neurofuzzy Virtual Measurements in Reactor Systems, Proceedings of the 1993 Annual Meeting of the Atomic Energy Society of Japan , p. 387, Kyoto, Japan, April 1993.
Ikonomopoulos A., Uhrig, R.E., and Tsoukalas, L.H., Modeling Complex Systems with Neural Network Generated Fuzzy Reasoning, IEEE Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems, pp 415-420, Yokohama, Japan, April 19-22, 1993.
Ikonomopoulos, A., and Tsoukalas, L.H., Application of Fuzzy Methodologies in I&C, Invited Contribution, Proceedings of the Topical Meeting on Nuclear Plant Instrumentation, Control & Man-Machine Interface Technology, pp 608-615, American Nuclear Society, Oak Ridge, Tennessee, April 18-21, 1993.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., Measurement of Fuzzy Values Using Artificial Neural Networks and Fuzzy Arithmetic, Accepted for Publication in the Proceedings of FUZZ-IEEE'93, pp 357-362, San Francisco, USA, March 28-April 1, 1993.
Tsoukalas, L.H., Ikonomopoulos, A., and Uhrig, R.E., Generalized Measurements in Neuro-Fuzzy Systems, Proceedings of the IEEE International Workshop on Neuro-Fuzzy Control, pp 65-71, Muroran, Japan, March 22-23, 1993.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., Measuring Fuzzy Variables in a Nuclear Reactor using Artificial Neural Networks, Proceedings of the Summer Workshop on Neural Network Computing for the Electric Power Industry, Stanford, California, 1992.Ikonomopoulos, A., Uhrig, R.E., and Tsoukalas, L.H., A Methodology for Performing Virtual Measurement in a Nuclear Reactor System, Invited Contribution, Transactions of American Nuclear Society 1992 Winter Meeting, pp 106-109, Chicago, Illinois, November 15-20, 1992.
Ikonomopoulos, A., Tsoukalas, L.H., Uhrig, R.E., and Pilarinou E., An Application of Neural Network Generated Fuzzy Reasoning for Complex System Monitoring, Intelligent Engineering Systems Through Artificial Neural Networks, C.H. Dagli, L.I., Burke, Y.C. Shin, Editors, Volume 2, pp 739-744, American Society of Mechanical Engineers Press, New York, 1992.
Tsoukalas, L.H., Ikonomopoulos, A., Uncertainty Modeling in Anticipatory Systems, Invited Contribution in the book Analysis and Management of Uncertainty , B.M. Ayyub, M.M. Gupta and L.N. Kanal Eds., Machine Intelligence and Pattern Recognition Series, pp. 79-91, Elsevier, North Holland. 1992.
Tsoukalas, L.H., Expert Systems for On-line Power Plant Applications: An Overview, Invited Contribution, Proceedings of 8th Power Plant Dynamics Control & Testing Symposium, pp. 47.01-47.10, Knoxville, TN, May 27-29, 1992.
Ikonomopoulos, A., Tsoukalas, L. H., Uhrig, R.E., A Fuzzy - Neural Methodology for Power Plant Virtual Measurements, Proceedings of 8th Power Plant Dynamics Control & Testing Symposium, pp 48.01-48.07, Knoxville, TN, May 27-29, 1992.
Basoglu, B., Tsoukalas, L. H., and Dodds H.L., A Criticality Alarm Generating Logic Design using Fault-Tree Methodology and Expert Systems, Proceedings of 8th Power Plant Dynamics Control & Testing Symposium, pp 49.01-49.09, Knoxville, TN, May 27-29, 1992.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., Diagnostics and Control of Pressurized Reactors using Artificial Neural Networks, Invited Contribution, Applications of Artificial Neural Networks III, S.K. Rogers, Ed, Proceedings of SPIE-The International Society for Optical Engineering, Volume 1709, pp 982-989, Orlando, Florida, April 20-24, 1992.
Ikonomopoulos, A., Uhrig, R.E., and Tsoukalas, L.H., Use of Neural Networks to Monitor Power Plant Components, Invited Contribution, Proceedings of American Power Conference, Volume 54-II, pp. 1132-1137, 54th Annual Meeting, Chicago, April 13-15, 1992.
Tsoukalas, L.H., Ikonomopoulos, A., and Uhrig, R.E., Virtual Measurements using Neural Networks and Fuzzy Logic, Invited Contribution, Proceedings of American Power Conference, Volume 54-II, pp 1437-1442, 54th Annual Meeting, Chicago, April 13-15, 1992.
Ikonomopoulos, A., Tsoukalas, L.H., Uhrig, E.E., Measuring Fuzzy Values through Artificial Neural Networks, Proceedings of The Third International Fuzzy Systems and Intelligent Control Conference IFSICC 92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, pp 60-67, Louisville, Kentucky, March 15-18, 1992.
Berkan, R.C., Tsoukalas, L.H., Upadhyaya, B.R., Fuzzy Logic Based Virtual Sensor Technology for Intelligent Plant Control, Proceedings of The Third International Fuzzy Systems and Intelligent Control Conference IFSICC 92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, pp 161-169, Louisville, Kentucky, March 15-18, 1992.
Tsoukalas, L.H., Berkan, R.C., Upadhyaya, B.R, A Fuzzy Graph Methodology for Navigating Hypermedia Databases, Proceedings of The Third International Fuzzy Systems and Intelligent Control Conference IFSICC 92, P.A.S. Ralston, K.E. Stoll, T.L. Ward, Eds, pp 185-193, Louisville, Kentucky, March 15-18, 1992.
Ikonomopoulos, A., Tsoukalas, L.H., Mullens, J., and Uhrig, R.E., Monitoring Nuclear Reactor Systems using Neural Networks and Fuzzy Logic, Proceedings American Nuclear Society 1992 Topical Meeting, Advances in Reactor Physics, Charleston, S. Carolina, March 8-11, 1992.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R. E., Fuzzy Logic - Artificial Neural Networks Integration for Transient Identification, in the book Intelligent Engineering Through Artificial Neural Networks, C.H. Dagli, S.R.T. Kimura, Y.C. Shin, Eds, pp 255-260, American Society of Mechanical Engineers Press, New York, 1991.Tsoukalas, L.H., and Ikonomopoulos, A., Modeling Complex Systems with Artificial Neural Networks, in the book Intelligent Engineering Through Artificial Neural Networks, C.H. Dagli, S.R.T. Kimura, Y.C. Shin, Eds, pp 281-587, American Society of Mechanical Engineers Press, New York, 1991.
Berkan, R. C., Upadhyaya, B.R., Tsoukalas, L.H., Kisner, R. A. and Bywater, R. L, Advanced Automation Concepts for Large-Scale Systems, IEEE Control Systems, Vol. 11, No. 6, pp. 4-12, October 1991.
Berkan, R.C., Upadhyaya, B.R., Tsoukalas, L.H., and Kisner, R. A., Reconstructive Inverse Dynamics Control and Application to Xenon Induced Power Oscillations in PWRs, Nuclear Science and Engineering, No. 109, pp 188-199, 1991.
Tsoukalas, L.H., Upadhyaya, B. R., and Clapp, N., Hypertext-Based Integration for Nuclear Plant Maintenance and Operations, Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear Industry, pp. 207-216, ANS Topical Meeting, Jackson, Wyoming, September 15-18, 1991.
Ikonomopoulos, A., Uhrig, R. E., and Tsoukalas, L.H, A Hybrid Neural Network-Fuzzy Logic Approach to Nuclear Power Plant Transient Identification, Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear Industry, pp. 217-226, ANS Topical Meeting, Jackson, Wyoming, September 15-18, 1991.
Berkan, R. C., Upadhyaya, B. R., and Tsoukalas, L.H, Fault Tolerant Strategies for Automated Nuclear Reactor Operations, Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear Industry, pp. 664-673, ANS Topical Meeting, Jackson, Wyoming, September 15-18, 1991.
Reyes-Jimenez, J. , and Tsoukalas, L.H., Radiation Protection Optimization using a Knowledge-Based Methodology, Proceedings of AI 91: Frontiers in Innovative Computing for the Nuclear Industry, pp. 801-810, ANS Topical Meeting, Jackson, Wyoming, September 15-18, 1991.
Darsey, J. A., Noid, D. W., Wunderlich, B., and Tsoukalas, L.H., Neural-Net Extrapolations of Heat Capacities of Polymers to Low Temperatures, Journal of Macromolecular Chemistry and Physics , Vol. 12, pp. 325-330, 1991.
Ikonomopoulos, A., Tsoukalas, L.H., and Uhrig, R.E., Hybrid Expert System-Neural Network-Fuzzy Logic Methodology for Transient Identification, Proceedings of "2nd Government Neural Network Applications Workshop," Huntsville, Alabama, September 16-18, 1991.
Tsoukalas, L. H., Bargiotas, D., and Berkan, R. C., Knowledge-Based Modeling of Power Plant Systems within the Anticipatory Paradigm, Proceedings of the International Conference on the Analysis of Thermal and Energy Systems (ATHENS '91), American Society of Mechanical Engineers(ASME), pp. 845-855, Athens, June 3-6, 1991.
Berkan, R. C., Tsoukalas, L. H., and Sofu, T., Fuzzy Control Paradigm Application to Automated Start-up of Nuclear Reactors, Proceedings of the International Conference on the Analysis of Thermal and Energy Systems (ATHENS '91), American Society of Mechanical Engineers(ASME), Athens, pp. 857-867, June 3-6, 1991.
Tsoukalas, L. H., and Ikonomopoulos, A., Anticipatory Systems using Expert System - Neural Network Technologies, Invited Contribution, Presented to the "31st Joint National Meeting TIMS/Operations Research Society of America," TIMS/ORSA Bulletin Number 31, p. 11, Nashville, Tennessee, 12-15 May, 1991.
Tsoukalas, L.H., Ikonomopoulos, A., and Uhrig R. E., Hybrid Expert System - Neural Network Methodology for Transient Identification, Invited Contribution, Proceedings of American Power Conference, Vol. 53-II, pp. 1206-1211, Chicago, April 29-May 1, 1991.
Tsoukalas, L.H., Berkan, R. C., Upadhyaya, B. R., and Kisner, R. A., Intelligent Control using Fuzzy Logic in Nuclear Reactor Systems, Proceedings of ANS Topical Meeting - Advances in Mathematics, Computations and Reactor Physics, pp. 8.2 2-1 - 8.2 2-12, Pittsburgh, Pennsylvania, April 28-May 1, 1991.
Tsoukalas, L. H., Berkan, R. C., and Ikonomopoulos, A., Uncertainty Modeling in Anticipatory Systems, Proceedings of the International Symposium on Uncertainty Modeling and Analysis, Institute of Electrical and Electronic Engineers(IEEE)-Computer Society Press, pp. 366-371, College Park, Maryland, December 3-5, 1990.Tsoukalas, L. H., Berkan, R. C., Upadhyaya, B. R., and Uhrig, R. E., Expert System Driven Fuzzy Control Application to Power Reactors, Proceedings of the IEEE-Computer Society International Conference on Tools for Artificial Intelligence, pp. 445-450, Washington DC, November 6-9,1990.
Tsoukalas, L. H., and Reyes-Jimenez, J., A Hybrid Expert System-Neural Networks Methodology for Anticipatory Control in a Process Environment, Proceedings of The Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-90, pp. 1045-1053, Association for Computing Machinery ACM/SIGART, Charleston, South Carolina, July 15-18,1990.
Berkan, R. C., Tsoukalas, L. H., Upadhyaya, B. R., and Uhrig, R. E., The Concept of Learning Equilibrium Dynamics in the Development of Solid Networks, Proceedings of the International Neural Network Conference INNC 90, pp. 920-924, Kluwer Academic Publishers, Paris, 9-13 July, 1990.
Tsoukalas, L. H., Berkan, R. C., and Ikonomopoulos, A., A Methodology for Uncertainty Management in Knowledge-Based Systems Employed within the Anticipatory Paradigm, Proceedings of the Third International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU, pp. 77-80, Paris, July 2-6, 1990.
Reyes-Jimenez, J., and Tsoukalas, L. H., ALARA Practices to Minimize Occupational Radiation Exposure from Contamination at Commercial Nuclear Power Plants, Summary in Proceedings of "7th Annual Meeting of the Southeast Region Health Physics Society Chapters," Charleston, South Carolina, May 3-5,1990.
Tsoukalas, L. H., Reyes-Jimenez, J., and Boshers, J. A., A Rule-Based Methodology for Monitoring Airborne Radioactivity in Nuclear Power Plants, Summary in Proceedings of "7th Annual Meeting of the Southeast Region Health Physics Society Chapters," Charleston, South Carolina, May 3-5,1990.
Tsoukalas, L. H., and Boshers J. A., An Expert System that Aids Reactor Operations Personnel in the Event of a Severe Accident, Proceedings of SPIE, The International Society for Optical Engineering, Applications of Artificial Intelligence VIII, Volume 1293, pp. 74-84, Orlando, Florida, April 17-19, 1990.
Tsoukalas, L. H., and Reyes-Jimenez, J., Hybrid Expert System - Neural Network Methodology for Nuclear Plant Monitoring and Diagnostics, Proceedings of SPIE The International Society for Optical Engineering, Applications of Artificial Intelligence VIII, Volume 1293, pp. 1024-1030, Orlando, Florida, April 17-19, 1990.
Tsoukalas, L.H., Lee, G. W., and Ragheb, M., Anticipatory Monitoring and Control in a Process Environment, Proceedings of The Second International Conference on Industrial and Engineering Applications of Artificial Intelligence & Expert Systems IEA/AIE-89, ACM/SIGART, Tullahoma, Tennessee, June 6-9, 1989.Tsoukalas, L.H., Lee, G. W., Ragheb, M., McDonough, T., Niziolek, F., and Parker, M., An On-Line Model-Based System for Nuclear Plant Monitoring, Applications of Artificial Intelligence VII, M. Trivendi, Ed., Proceedings of SPIE, Volume 1095, pp. 372-380, April 1989.
Tsoukalas, L.H., and Ragheb, M., Performance Monitoring and Diagnosis in a Process Environment Using a Probability-Possibility Approach, Proceedings of Manufacturing International '88: Symposium on Manufacturing Systems - Design, Integration, and Control, G. Chryssolouris, B. Von Turkovich, and P, Francis, Eds., American Society of Mechanical Engineers(ASME), New York, 1988.Ragheb, M., and Tsoukalas, L.H., Monitoring Performance of Devices Using a Coupled Probability-Possibility Method, International Journal of Expert Systems, Research and Applications, Vol. 1, pp. 111-130, 1988.
Ragheb, M., Tsoukalas, L.H., McDonough, T., and Parker, M., A Production-Rule Analysis System for Nuclear Plant Monitoring and Emergency Response Applications, in the book Artificial Intelligence and other Innovative Computer Applications in the Nuclear Industry, M. C. Majumdar, D. Majumdar and J. I. Sackett, Eds., Plenum Press, New York, pp. 231-238, 1988.
Ragheb, M., and Tsoukalas, L.H., Uncertainty Propagation in Production-Rule Systems Using a Probability-Possibility Approach, in the book Artificial Intelligence and other Innovative Computer Applications in the Nuclear Industry, M. C. Majumdar, D. Majumdar and J. I. Sackett, Eds., Plenum Press, New York, pp. 863-873, 1988.
Ragheb, M., and Tsoukalas, L.H., Plant Monitoring Using Possibilistic-Probabilistic Methodologies, Invited Contribution, Transactions of ANS, 1987 Winter Meeting of the American Nuclear Society, Los Angeles, California, November 15-19, 1987.Tsoukalas, L.H., and Ragheb, M., Coupled Probabilistic and Possibilistic Uncertainty Estimation in Ruled-Based Analysis Systems, Proceedings of Applications of Artificial Intelligence V, J. F. Gilmore, Ed., SPIE, Volume 786, 1987.
Ragheb, M. and Tsoukalas, L.H., A Coupled Probability-Possibility Method for Decision-Making in Knowledge-Based Systems, Knowledge-Based Expert Systems for Manufacturing, S. C-Y. Lu, R. Commanduri, Eds., ASME, pp. 97-105, New York, 1986.THESES & SELECTIVE TECHNICAL REPORTS
Tsoukalas, L.H., Anticipatory Systems Using a Probabilistic-Possibilistic Formalism, Ph.D. Dissertation, University of Illinois at Urbana-Champaign, Urbana, January 1989.
Tsoukalas, L.H., The Thermal Instability of a Deuterium-Tritium Tokamak Plasma, M.S. Thesis, University of Illinois at Urbana-Champaign, Urbana, May 1983.
Uhrig, R.E., Tsoukalas, L.H., Application of Neural Networks, Part I. To Determine the Operability of Check Valves; Part II. To improve the Operation of Nuclear Power Plants, EPRI Reports, June 1993, (in press)
