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- 1Anomaly detection
- 1Artificial learning
- 1Asymptotic method of moments
- 1Carbon clad zirconias
- 1Chi-square test
- 4Mathematical and Statistical Sciences, Department of
- 4Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 1Graduate and Postdoctoral Studies (GPS), Faculty of
- 1Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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2004
Zhao, Xingqiu, Long, Hongwei, McCrosky, Jesse, Kim, Surrey, Kouritzin, Michael
In this paper, we discuss multi-target tracking for a submarine model based on incomplete observations. The submarine model is a weakly interacting stochastic dynamic system with several submarines in the underlying region. Observations are obtained at discrete times from a number of sonobuoys...
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2004
McCrosky, Jesse, Kouritzin, Michael, Blount, Douglas
A hybrid weighted/interacting particle filter, the selectively resampling particle (SERP) filter, is used to detect and track an unknown number of independent targets on a one-dimensional \"racetrack\" domain. The targets evolve in a nonlinear manner. The observations model a sensor positioned...
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2004
Kouritzin, Michael, Kim, Surrey, Sun, Wei, Kim, Hyukjoon
In this note, we consider the problem of detecting network portscans through the use of anomaly detection. First, we introduce some static tests for analyzing traffic rates. Then, we make use of two dynamic chi-square tests to detect anomalous packets. Further, we model network traffic as a...
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Graphitic carbon phases for chelation chromatography and electrochemically modulated preconcentration
DownloadSpring 2012
The first part of this thesis explores the synthetic method that converts carbon clad zirconia particles into chelation stationary phase. Oxine groups were attached onto the graphitic carbon surface by in situ generated diazonium ions in the aqueous solution. XPS, FTIR, SEM were utilized to...
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2003
Kouritzin, Michael, Ma, Xinjian, Long, Hongwei, Sun, Wei
Nonlinear filtering is an important and effective tool for handling estimation of signals when observations are incomplete, distorted, and corrupted. Quite often in real world applications, the signals to be estimated contain unknown parameters which need to be determined. Herein, we develop and...