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Proceedings Paper

Using an object-based grid system to evaluate a newly developed EP approach to formulate SVMs as applied to the classification of organophosphate nerve agents
Author(s): Walker H. Land; Michael Lewis; Omowunmi Sadik; Lut Wong; Adam Wanekaya; Richard James Gonzalez; Arun Balan
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Paper Abstract

This paper extends the classification approaches described in reference [1] in the following way: (1.) developing and evaluating a new method for evolving organophosphate nerve agent Support Vector Machine (SVM) classifiers using Evolutionary Programming, (2.) conducting research experiments using a larger database of organophosphate nerve agents, and (3.) upgrading the architecture to an object-based grid system for evaluating the classification of EP derived SVMs. Due to the increased threats of chemical and biological weapons of mass destruction (WMD) by international terrorist organizations, a significant effort is underway to develop tools that can be used to detect and effectively combat biochemical warfare. This paper reports the integration of multi-array sensors with Support Vector Machines (SVMs) for the detection of organophosphates nerve agents using a grid computing system called Legion. Grid computing is the use of large collections of heterogeneous, distributed resources (including machines, databases, devices, and users) to support large-scale computations and wide-area data access. Finally, preliminary results using EP derived support vector machines designed to operate on distributed systems have provided accurate classification results. In addition, distributed training time architectures are 50 times faster when compared to standard iterative training time methods.

Paper Details

Date Published: 12 April 2004
PDF: 10 pages
Proc. SPIE 5421, Intelligent Computing: Theory and Applications II, (12 April 2004); doi: 10.1117/12.541419
Show Author Affiliations
Walker H. Land, Binghamton Univ. (United States)
Michael Lewis, Binghamton Univ. (United States)
Omowunmi Sadik, Binghamton Univ. (United States)
Lut Wong, Binghamton Univ. (United States)
Adam Wanekaya, Binghamton Univ. (United States)
Richard James Gonzalez, Binghamton Univ. (United States)
Arun Balan, Binghamton Univ. (United States)


Published in SPIE Proceedings Vol. 5421:
Intelligent Computing: Theory and Applications II
Kevin L. Priddy, Editor(s)

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