Award Data

To improve the identification and detection of radio-logical materials, we propose a hybrid supervised learning and unsupervised machine learning approach to reduce the false positive rate, increase the accuracy and throughput, and augment the capabilities of the human operators. At the end of the Phase I, we will have a machine learning algorithm that is trained to recognize a variety of nuclear ...

Physical Sciences Inc. (PSI) proposes to develop an advanced machine learning (ML) algorithm to detect threat-based anomalies in gamma-ray spectra in real-time. If a network of distributed R/N sensors is employed, the algorithms will also be capable of tracking such anomalies through the network. The Radiation Anomaly Detector (RAD) will be packaged with PSI’s award winning Poisson Clutter Spli ...

There is a need for low cost, high performance gamma-ray detectors for national and homeland security applications for detection, identification and localization of special nuclear materials. Common detectors used in this application include scintillators coupled to photomultiplier tubes or silicon photodiodes, and semiconductor detectors like cadmium zinc telluride. Semiconductor detector offer ...

Perovskites are rapidly emerging as attractive radiation detectors. The goal of this program is to develop a multi-modal detection sensor based on perovskite materials. The developed detector will be integrated with a high resolution active pixel array and the pixel signals will be processed by high speed electronics to create scene images of different radiation types.

Systems & Technology Research (STR) proposes to develop Vehicle Reidentification-Aided Network Topology Inference (VRANTI), a novel system for estimating proximity network graphs of traffic cameras to facilitate intelligence applications such as tracking and monitoring of traffic systems. Network inference will be performed using statistical analyses of features extracted from camera video feeds, ...

Alphatech will develop & demo multirsolution statistical methods for the fusion of terrain elevation from existing 3-D terrain models and new elevation data. This fusion will produce new estimates of terrain elevation with accuracies, robustness, and update ratesprviously unachievable.

We propose to develop a near-source model for the release of chemically reacting radionuclides. The model structure is based on an available code for reacting chemicals. The model will include interactive effects of nuclear transformation, chemical reaction, and plume physical motion. Such a model will provide fast and accurate predictions for the source characterization and transport of radion ...

NZ Applied Technologies proposes to develop gallium nitride and aluminum gallium nitride high sensitivity avalanche photodetectors for solar blind ultraviolet wavelength applications. Solar blind ultraviolet avalanche photodetectors and position sensitive arrays with high sensitivity have broad applications in military, space, automotive, engine monitoring, flame detection, and environmental moni ...