Warning & Indicator Systems WISE lab Lab Director: Professor Richard Mammone Faculty : Christine Podilchuck, Joseph Wilder Students: Anand Doshi, Aparna Krishnamoorthy, Robert Utama

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

Projects Radioactive Isotope Identification Positional Awareness Face Recognition Speaker Recognition Explosives Detection

The VDM analyses data captured from moving vehicles by the Princeton Plasma 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. The Rutgers CAIP Vigilant Decision Machine (VDM) detects and Identifies materials used in radiological weapons.

Data Acquisition Initial Data Collection Experiment

Miniature Integrated Nuclear Detection System SensorsPreprocessing Feature Extraction Classification WISE LABPPPL

Preprocessing Background and Cesium 137

The need for Preprocessing

Feature Extraction

Neural Tree Network (NTN)

Difficult Sample of Co-60 Correctly Identified by our System

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.

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.

Other Projects Speaker Recognition, Explosive Detection, Face Recognition SensorsPreprocessing Feature Extraction Classification WISE LAB

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.