Bayesian performance metrics and small system integration in recent homeland security and defense applications

Tomasz Jannson; Andrew Kostrzewski; Edward Patton; Ranjit Pradhan; Min-Yi Shih; Kevin Walter; Gajendra Savant; Rick Shie; Thomas Forrester

doi:10.1117/12.850539

5 May 2010 Bayesian performance metrics and small system integration in recent homeland security and defense applications

Tomasz Jannson, Andrew Kostrzewski, Edward Patton, Ranjit Pradhan, Min-Yi Shih, Kevin Walter, Gajendra Savant, Rick Shie, Thomas Forrester

Author Affiliations +

Proceedings Volume 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX; 76660U (2010) https://doi.org/10.1117/12.850539
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In this paper, Bayesian inference is applied to performance metrics definition of the important class of recent Homeland Security and defense systems called binary sensors, including both (internal) system performance and (external) CONOPS. The medical analogy is used to define the PPV (Positive Predictive Value), the basic Bayesian metrics parameter of the binary sensors. Also, Small System Integration (SSI) is discussed in the context of recent Homeland Security and defense applications, emphasizing a highly multi-technological approach, within the broad range of clusters ("nexus") of electronics, optics, X-ray physics, γ-ray physics, and other disciplines.

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Tomasz Jannson, Andrew Kostrzewski, Edward Patton, Ranjit Pradhan, Min-Yi Shih, Kevin Walter, Gajendra Savant, Rick Shie, and Thomas Forrester "Bayesian performance metrics and small system integration in recent homeland security and defense applications", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76660U (5 May 2010); https://doi.org/10.1117/12.850539

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