Award Data

Physical Sciences Inc. proposes to develop and mature the Network Fusion Radiation Analysis Tool (NFRAT) to address the need for an enhanced radiation hazard mapping, localization and identification capability in support of contamination avoidance operations and sensitive site exploitation. The NFRAT software will utilize dynamic representations of the radiological environment and statistical mode ...

Spectral Labs is proposing to continue the development of a simulation software for use with standalone COTS VR headsets which enables the accurate simulation of radiation behaviors and also the equipment used to measure such radiation for this Phase II SBIR activity. SLI will build upon its decade-long history of simulation and computer-based training for the rad/nuc mission space which will enab ...

The event of nuclear explosion generates harsh radiation conditions, evaluation of which is critical in protecting the military and civilian personnel from serious harm.  Due to these harsh conditions only very simple methods of radiation assessment are employed, such as measurement of equivalent dose.  Improvements to current instrumentation are sought that would provide energy resolved dose in ...

In the condition of a nuclear event, it is critical that warfighters and first responders are equipped with active dosimeters and dose rate meters.  These tools can be made from scintillation-based detector systems that require a high performance photodetector.  The silicon photomultiplier is a compact photodetector that would be ideal for such a detector system, yet their performance suffers fr ...

The Defense Threat Reduction Agency (DTRA) uses High-Fidelity (HF) computer codes, many of which are legacy codes that have evolved over many years, to investigate weapon effects phenomenology and techniques for countering Weapons of Mass Destruction (WMD). As DTRA’s reliance on HF codes for tasks critical to national security continues to increase, transitioning such codes from legacy coding pr ...

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This research proposes a data-driven and multi-perspective solution to reduce injuries and fatalities due to bus collisions with other vehicles. It goes beyond reviewing historical bus crash reports by collecting field LiDAR data for better understanding a variety of factors that may contribute to bus collisions and injuries/fatalities. It also recognizes that collision avoidance technologies (whi ...

Optimizing demand for available transportation infrastructure is desirable for the Department of Transportation and Federal Transit Administration, local and regional agencies, private organizations, and individuals. Unfortunately, traditional Transportation Demand Management (TDM) efforts fail to facilitate cooperation between actors, and rely heavily on marketing and financial incentives to infl ...

We propose to develop a hybrid leak detection system, utilizing real-time multisensory system and a compact gas chromatograph (GC) integrated in a single unit. The key advantages of our GC technology are utilization of scrubbed ambient air as a carrier gas and utilization of novel multisensory highly integrated platform as a GC detector. The outcome of this technology, is the ability to monitor a ...