Domestic Nuclear Detection Office (DNDO) NITRD Workshop What are the Biggest Opportunities in Networking Problem? Sept. 20, 2012 Timothy Ashenfelter, PhD Program Manager Transformation and Applied Research Domestic Nuclear Detection Office Department of Homeland Security

Goals for Networking in Nuclear Detection Human-to-Technology Interface Improvements Capture Human Response Data to Sensor Data Provide feedback analyses for predictions of performance Reduce the operational burden of advanced technology Goal 2: Technologies that improve the human actions and their response consistency to increasingly complex and diverse sensor data Integrated Nodes Cross-Mission Networking Benefit Improve situational awareness Leverage existing infrastructure and tools for multiple missions Manage data and archiving for flexible use and adaptive learning Deploy Adaptable Detection Architectures Nodes/Vignettes Detectors Source Goal 1: Technologies that span across missions

Transformational and Applied Research Goals for Networking Systems  Use video/imaging and spatial analysis for increased sensitivity  Example: SBIR Topic on “Embedding of Advanced Search Technique for Detect, Locate, and Track for Pedestrian-based Search”  Use networked-sensor fusion for increased sensitivity and flexibility  Example: Intelligent Radiation Sensing System (IRSS) Advanced Technology Demonstration  Exploit prior data to improve sensitivity and reduce operational burden  Increase connectivity between sensors and modeling  Accelerate timeline for search, detect, locate, track, interdict, identify, and resolve through data visualization and reporting  Example: SBIR Topic on “Smartphone Applications for Reachback”

 Leverage capabilities of smartphones or other low-cost MEMs devices –Spatial tracking beyond GPS for radiation mapping –Time synchronization and advance algorithms for tracking and locating  Robust algorithms at sensor node –Smartphone or other embedded processors –Graphics Processing Units (GPUs) –Filtering of actionable information to smallest transmission need  Connecting sensors to cloud computing and archiving  Layerless architectures for scalability and resilience  Hybrid Power sources for sensors beyond batteries –System power management within networked systems Opportunities for Networking