On simulating episodic events against a background of noise-like non-episodic events

Summer Computer Simulation Conference, SCSC 2010 - Proceedings of the 2010 Summer Simulation Multiconference, SummerSim 2010

Volumn , Issue 1 BOOK, 2010, Pages 452-460

  Bellinger, Colin ^a   Oommen, B John ^a,b  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF AGDER   (Norway)

Author keywords

Data generation; Episodic events; Gaussian dispersion; Pattern recognition; Propagation

Indexed keywords

BACKGROUND LEVEL; BACKGROUND NOISE; COMPREHENSIVE NUCLEAR-TEST-BAN TREATIES; DATA GENERATION; EPISODIC EVENTS; GAUSSIAN DISPERSIONS; MODEL EVENTS; MODELLING PROCESS; NETWORK FAILURE; SEISMIC EVENT; TELEPHONE CALLS;

NUCLEAR EXPLOSIONS; NUCLEAR INDUSTRY; NUCLEAR REACTOR ACCIDENTS; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS; WAVE PROPAGATION;

COMPUTER SIMULATION;

EID: 84871383131     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. D. W. Aha. Generalizing from case studies: A case study. In D. H. Sleeman and P. Edwards, editors, ML, pages 1-10. Morgan Kaufmann, 1992.
2. B. Ainslie and P. L. Jackson. The use of an atmospheric dispersion model to determine influence regions in the Prince George, BC airshed from the burning of open wood waste piles. Journal of Environmental Management, 90:2393-2401, 2009.
3. T. A. H. Al-Khayat, B. Van Eygen, C. N. Hewitt, and M. Kelly. Modelling and measurement of the dispersion of radioactive emissions from a nuclear fuel fabrication plant in the U.K. Atmospheric Environment. Part A, General Topics, 26(17):3079-3087, 1992.
4. S. Awasthi, M. Khare, and P. Gargava. General Plume Dispersion Model (GPDM) for point source emission. Environmental Modeling and Assessment, 11(3):267-276, 2006.
5. C. Bellinger. Simulation and pattern classification for rare and episodic events. Master's thesis, Carleton University, Ottawa, Ontario, 2010.
6. T.W. Bowyer, K. H. Abel, C.W. Hubbard, M. E. Panisko, P. L. Reeder, R. C. Thompson, and R. A. Warner. Field testing of collection and measurement of radioxenon for the comprehensive test ban treaty. Journal of Radioanalytical and Nuclear Chemistry, 240(1):109-122, 1999.
7. T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez. Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2):31-71, 1997.
8. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. New York, Wiley, 2nd ed. edition, 2001.
9. F. A. J. Gifford. Atmospheric dispersion calculations using the generalized gaussian plume model. Nuclear Saftey, 2:56-59, 67-68, 1960.
10. D. M. Hargreaves and C. J. Baker. Gaussian puff model of an urban street canyon. Journal of Wind Engineering and Industrial Aerodynamics, 69-71:927-939, 1997. Proceedings of the 3rd International Colloqium on Bluff Body Aerodynamics and Applications.
11. K. Hempstalk, E. Frank, and I. H.Witten. One-class classification by combining density and class probability estimation. In In Proceedings of the 19th European Conference on Machine Learning, volume 5211, pages 505-519. Springer, 2008.
12. R. Jain, J. Vaughan, K. Heitkamp, C. Ramos, c. Claiborn, M. Schreuder, M. Schaaf, and M. Lamb. Development of the clearsky smoke dispersion forecast system for agricultural field burning in the pacific northwest. Atmospheric Environment, 41(32):6745-6761, 2007.
13. N. Japkowicz. Concept-Learning in the Absence of Counter- Examples: An Autoassociation-Based Approach to Classication. PhD thesis, Rutgers University, 1999.
14. D. Lubinsky. Bivariate Splits and Consistent Split Criteria in Dichotomous Classi cation Trees. PhD thesis, Rutgers University, 1994.
15. T. J. Lyons and W. D. Scott. Principles of Air Pollution Meterorology. Belhaven Press, London, England, 1990.
16. F. Pasquill. The estimation of the dispersion of windborne material. Meteorological Magazine, 90:33-49, 1961.
17. S. G. Perry, A. J. Cimorelli, R. J. Paine, R. W. Brode, J. C. Weil, A. Venkatram, R. B. Wilson, R. F. Lee, and W. D. Peters. Aermod: A dispersion model for industrial source applications. part ii: Model performance against 17 field study databases. Journal of Applied Meteorology, 44(5):694-708, 2005.
18. K. R. Rodriquez, D. J Peterson. Simulating the venting of radioactivity from a Soviet nuclear test. Atmospheric Environment, 23(5):953-958, 1989.
19. D. H. Slade (ed.). Meteorology and atomic energy. Technical report, U.S. Atomic Energy Commission. Division of Reactor Development and Technology, 1968.
20. T. J. Stocki, N. Japkowicz, G. Li, R. K. Ungar, I. Hoffman, and J. Yi. Summary of the data mining contest for the ieee international conference on data mining. Pisa, Italy, 2008.
21. B. D. Turner. Workbook of Atmospheric Dispersion Estimates: an Introduction to Dispersion Modeling. CRC Press,Inc., Boca Raton, Florida, second edition edition, 1994.