Christie L. Nelson

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The Department of Homeland Security identifies stadium safety as a crucial component of risk mitigation in the US. Patron screening poses difficult trade-offs for security officials: rigorous screening prevents weapons from entering the structure, but it also creates lines that become security hazards and may be infeasible if patrons are to get into the(More)
A model was created for the United States Coast Guard (USCG) to maximize aircraft fleet operational performance subject to budgetary constraints, or, conversely, to minimize aircraft fleet operational costs subject to performance targets. This is a two-stage model: The first stage, prior work, is a simulation model of each USCG Air Station generating(More)
—We present a model and discrete event simulation of USCG Air Stations, accounting for the mission demands and maintenance procedures pertaining to USCG aircraft. The simulation provides aircraft availability distributions and mission performance metrics based on varying input scenarios, including changes in the number of stationed aircraft and maintenance(More)
The United States Coast Guard (USCG) presently allocates resources, such as small boats, to fixed locations (stations) for periods of one year or longer. We present a model that allows the USCG to assess novel boat allocations in which stations may " share " boats, thus cutting down on the total number of boats required. A shared boat is assigned to one(More)
— When utilizing metal detectors at a large venue such as a sports stadium, there are the competing objectives of accuracy of the patron screening and the speed of throughput. This research, carried out in collaboration with the security staff at MetLife Stadium in New Jersey as well as other stadiums, analyzed two patron screening methods: handheld metal(More)
In this paper, a novel approach to topic modeling based on the Higher Order Learning framework, Higher-Order Latent Dirichlet Allocation (HO-LDA), is applied to a critical issue in homeland security, nuclear detection. In addition, this research strives to improve topic models in the 'real time' environment of online learning. In total, seventeen different(More)
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