W arning & I ndicator S ystems WISE lab

1. Warning & Indicator Systems WISE lab Lab Director: Professor Richard Mammone Faculty : Christine Podilchuck, Joseph Wilder Students: Anand Doshi, Aparna Krishnamoorthy, Robert Utama http://www.caip.rutgers.edu/wiselab

2. Enhancement of Signals • filtering • deconvolution • noise reduction • segmentation • Identification of Materials/People • radioactive material • plastic explosives • person identity • Positional Awareness • sensor location • target location • target tracking • target prediction

3. Projects • Radioactive Isotope Identification • Positional Awareness • Face Recognition • Speaker Recognition • Explosives Detection

4. The Rutgers CAIP Vigilant Decision Machine (VDM) detects and Identifies materials used in radiological weapons. • The VDM analyses data captured from moving vehicles by the PrincetonPlasma Physics Laboratory’s Miniature Integrated Nuclear Detection System (MINDS). • The MINDS/VDM system can detect small quantities of materials hidden in vehicles,even when shielded by lead, and can distinguish between dangerous and benign materials. • A proof-of-principal system is operational and has been tested on two of the five materials (Cs-137 and Co-60) listed in draft ANSI Standard N42.35 – 2003, and a third material Am-241, which was not included in the standard, because it was deemed too difficult to detect. • Our system shows promise of exceeding all of the requirements in ANSI N42.35 – 2003 and adding additional desirable capabilities.

5. Initial Data Collection Experiment Data Acquisition

6. Miniature Integrated Nuclear Detection System Feature Extraction Classification Sensors Preprocessing PPPL WISE LAB

7. PreprocessingBackground and Cesium 137

8. The need for Preprocessing

9. Feature Extraction

10. Neural Tree Network (NTN)

11. Difficult Sample of Co-60 Correctly Identified by our System

12. Target Tracking Algorithm for Air Deliverable Acoustic Sensor (ADAS) The objective of the project is to devise a target tracking algorithm for the ADAS (pictured below) to locate a target in a dynamic, noisy and mobile environment By using several ADAS devices, and an appropriate algorithm, it is possible to triangulate a position of a target by analyzing the sound it emits.

13. Geometry used in the Government Test Three nodes (each node is an ADAS) spread in three different locations. A target vehicle will move down the road equipped with the GPS. The sensors will pick up the acoustic data and supply it to the WISE lab algorithm which will map the vehicle's path.

14. Other Projects Speaker Recognition, Explosive Detection, Face Recognition Feature Extraction Classification Sensors Preprocessing WISE LAB

15. Summary and Conclusions • Rutgers’ Wise Lab has developed real world biometric systems. • Wise Lab has developed real world material identification systems. • System Engineering including integration of hardware and software has been performed by WISE Lab. • The Neural Tree Network has been shown to correctly identify people and material when little data is available and under noisy conditions. • Appropriate preprocessing and feature selection are important design considerations used by the WISE Lab.