Award Data

The meteoric rise of personally identifying information (PII) created and shared online is unprecedented. The sheer volume of open source intelligence available on sites such Facebook, Twitter, LinkedIn, message forums, Instagram, etc. makes the task of collecting and organizing OSINT increasingly laborious for analysts. Zeuss has already built and tested an operational product that addresses this ...

Hostile conflicts leave behind millions of armed landmines in developing countries throughout the globe. Humanitarian demining is hazardous and labor intensive. A promising development in detecting explosives found in landmines is using small, olfactory sensitive animals trained to act as biosensor detectors. However, current manual training methods require skilled trainers following strict pro ...

We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and processing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce designs and implementation pla ...

ENIG, in collaboration with SRI, proposes to develop a modeling methodology with predictive and inferential capabilities to address the challenges of designing body armor to resist realistic multiple impacts from burst fire events. Our toolkit will provide an end-to-end modeling capability, grounded in the statistics of realistic impacts from small-arms fire, which would address the final material ...

A human produces more than 100 Watts of waste heat during normal activity. If a fraction of this heat energy can be harvested it can replace the stored chemical energy in one or more of the batteries typically carried by soldiers in the field. The current generation batteries, such as the BB2590 are bulky and rigid. The PowerFelt material developed by Wake Forest University is ideally suited for h ...

NadirSAR imaging offers a means to detect targets in challenging environments. TSC and SDL propose to leverage the work we have already performed for RRTO to develop and demonstrate a NadirSAR imaging technique at X-band. TSCs baseline technique exploits range resolution for height and performs SAR Tomographic processing around a circular flight path to obtain resolution in the ground plane. Measu ...

The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

Pixelligent, teamed with the Tribology Group at Argonne National Laboratory (ANL) and the University of Pennsylvania (UPenn), proposes a 6 months, $150K STTR Phase I project to demonstrate a proof-of-concept for a fuel-efficient nano-fluid gear oil based on Pixelligents advanced nano-additives. If successful, this will pave the way to develop innovative lubricants for gear boxes that can improve f ...

There is an unmet demand for nano-scaled ultra-low-power low-cost radios to address field-deployable and massively producible sensing and communication networks in future military and commercial applications. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by exploiting the holistic integration of THz radio transceiver system, on-chip antenna ...

Intelligent Automation Inc. (IAI) proposes to develop and implement a two-fold spectrum monitor and broadcast system EM-SMART (Electromagnetic Spectrum Monitor, Identification and Broadcast). EM-SMART provides the electromagnetic spectrum (EMS) capability to recognize and classify blue force and red force waveforms, and the emulation capability to broadcast anticipated opposing force waveforms. Th ...