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Skip to Search Results- 3Non-linear filtering
- 2Target tracking
- 2Tracking
- 1Anomaly detection
- 1Asymptotic method of moments
- 1Branching interacting particle system
- 6Mathematical and Statistical Sciences, Department of
- 6Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 2Graduate and Postdoctoral Studies (GPS), Faculty of
- 2Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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2003
Ballantyne, David, Wiersma, Jonathan, Kouritzin, Michael, Hailes, Jarett, Long, Hongwei
A hybrid weighted interacting particle filter, the selectively resampling particle filter (SERP), is used to detect and track multiple ships maneuvering in a region of water. The ship trajectories exhibit nonlinear dynamics and interact in a nonlinear manner such that the ships do not collide....
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2000
Ballantyne, David, Chan, Hubert, Kouritzin, Michael
Particle approximations are used to track a maneuvering signal given only a noisy, corrupted sequence of observations, as are encountered in target tracking and surveillance. The signal exhibits nonlinearities that preclude the optimal use of a Kalman filter. It obeys a stochastic differential...
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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...
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2001
Ballantyne, David, Hoffman, John, Kouritzin, Michael
Particle-based nonlinear filters provide a mathematically optimal (in the limit) and sound method for solving a number of difficult filtering problems. However, there are a number of practical difficulties that can occur when applying particle-based filtering techniques to real world problems....
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2002
Kim, Surrey, Kouritzin, Michael, Ballantyne, David
Particle-based nonlinear filters have proven to be effective and versatile methods for computing approximations to difficult filtering problems. We introduce a novel hybrid particle method, thought to possess an excellent compromise between the unadaptive nature of the weighted particle methods...