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