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Sensor Analytics: Integrated Threat Detection (289)

Problem: Need reliable detection of multi-option threats that may not be detected reliably by considering single sensor data

Project Activity Scope (from Technical Overview Chart): Mechanisms through Integrated Systems

Graphic of Bayesian statistical framework for integrated sensor data analysis

PNNL Solution:

  • Simultaneous consideration of complementary data sets can improve detection reliability
  • Developed Bayesian statistical framework for integrated sensor data analysis
  • Used triage tree (t-tree) method for threat detection and identification
  • Demonstrated for biological threat using multiple sensors

Capabilities Employed to Meet Client Needs: Advanced statistical and data analysis techniques including: Bayesian analysis, classification and regression trees, discrete and continuous multivariate comparison techniques, hierarchical cluster analysis, principal components analysis and sequential projection pursuit.

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Contact: Kristin H. Jarman

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