Award Data

In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...

"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

"Increasing the distance for standoff detection of nuclear materials, beyond that capable with direct radiation detection, using alternative signatures, such as the concentration of ionization in the surrounding atmosphere, improves the ability to locate, track and monitor this material. Ionizing radiation generates free elections, ions, and exited states in the nearby atmosphere, even when the s ...

"SIFT will develop Plan Recognition for Multi-Source Reasoning Over Sources and Events (PRIMROSE) to provide high-performance, probabilistic plan recognition to DTRA, addressing the intelligence analysis problem of information overload. PRIMROSE will perform high-performance plan recognition and integrate the results into JIPOE-based intelligence processes. In PRIMROSE: (1) the YAPPR2 plan r ...

We propose to develop Prediction of Emergent SCIENce & Technology (PRESCIENT), a system that mines a text corpus of scientific patents and publications to discovers emerging technologies that may impact WMD or CWMD. PRESCIENT will take as input a diverse corpus of patents and publications, including metadata about contributing authors and organizations, and will produce as output alerts with timel ...

Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...

Marine Corps Commanders are responsible for consuming, understanding, and acting upon vast amounts of operational data. However, current Command and Control (C2) systems overwhelm Commanders by presenting this data in too much detail, and they lack intuitive interfaces for exploring and querying the data. The resulting cognitive overload and inefficiency increases the risk that Commanders will ove ...

We suggest developing a miniaturized survey system which can meet the current IPADS requirements with significant reductions in size/weight. The current weight/volume is 135 lb./6300 inch-cube. The core is Navigational Module (INS) that weighs >50 lb. and volume of 1200 inch-cube, based on Ring Laser Gyro technology. The main goal of the study is a replacement of the above sensor cluster with a ne ...

Triton Systems and its team members propose to develop an innovative, energy efficient, small human transportable field refrigeration unit for field medical operations. The unit will be used to keep temperature sensitive human blood products, vaccines, and reagents within an optimum temperature range to ensure long term viability.