Transcript SNM Interrogation and Verification

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
Cross-Mission Networking Benefit
• Improve situational awareness
Goal 1: Technologies that
span across missions
Source
Source
• Leverage existing infrastructure and tools for multiple missions
• Manage data and archiving for flexible use and adaptive learning
• Deploy Adaptable Detection Architectures
Detectors
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
Nodes/Vignettes
Goal 2: Technologies that improve the
human actions and their response
consistency to increasingly complex
and diverse sensor data
Integrated Nodes
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”
Opportunities for Networking
 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