Summaries - Office of Research & Innovation
Research Summaries
Back Optimizing Threshold-Based Surveillance Systems
Fiscal Year | 2010 |
Division | Graduate School of Operational & Information Sciences |
Department | Operations Research |
Investigator(s) | Fricker, Jr., Ronald D. |
Sponsor | Army Research Office (Army) |
Summary |
This research will develop a mathematical framework for incorporating prior information (intelligence) about an adversary's intentions into a surveillance system via the use of: (1) threshold-based decision rules and (2) optimized thresholds that maximize the probability of detection subject to a constraint the number of false positive signals. It will generalize the results of Fricker & Banschbach (2010) to situations where data are not normally distributed, data sources are correlated, and, time permitting, where data are auto correlated. |
Keywords | Modeling Information Warfare |
Publications | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |
Data | Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal |