Award Data

Toyon proposes R&D of algorithms that process high-frame-rate video collected by two or more independently moving cameras to measure 3D displacements of remote surfaces. To support this, we will collect data along with ground truth. We will develop an algorithm that processes synchronized video data to estimate 3D camera motion for multiple cameras. We will develop an algorithm that creates high-r ...

Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic that will enable wide dynamic range temperature mea ...

A novel diagnostic system based on the monolithic quantum cascade laser technology is proposed, enabling probing of points across the entire MIR absorption spectrum of CO for optimal temperature sensitivity across the entire 300 – 3000 K range with MHz time resolution. The proposing team has the capability to design QCL structures that provide strong output over the spectral range of interest in ...

To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) is developing a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-selective ionization and novel signal enhancement schemes. New system features in FENICS enable rapid, on-site characterization of nuclear debris samples in ...

The growing challenge of plastic waste accumulation in the US, and throughout the world, requires an immediate and innovative solution. A solution that would help to mitigate the ever growing plastic waste problem, while utilizing the abundant latent energy in plastic waste to produce liquid fuel, would not only help the US with its plastics reuse capability, but would add to the $5 Billion oil ma ...

The growing challenge of plastic waste accumulation in the US, and throughout the world, requires an immediate and innovative solution. A solution that would help to mitigate the ever growing plastic waste problem, while utilizing the abundant latent energy in plastic waste to produce liquid fuel, would not only help the US with its plastics reuse capability, but would add to the $5 Billion oil ma ...

Existing approaches for the multi-sensor data correlation for chemical and biological defense fail to provide timely and accurate situationalawareness capabilities in the presence of complex CBRN attack scenarios. Toward the maintenance of a common operating picture for situationalawareness, innovations are required to fuse signature feeds from networked chemical/biological (CB) and non-CB sensors ...

The fundamental problem addressed by this SBIR proposal is the capability to uncover new entity types, relations and topics that are implicit in text documents.Joint inference offers an opportunity to make discoveries that are more accurate and more nuanced than traditional pipelined approaches, but the hypothesis space is more complex and extraordinarily large.In this project we propose to develo ...

Noon Energy has developed a new class of battery technology that will cost-effectively turn intermittent solar and wind electricity into on-demand power. It uses ultra-low-cost storage media and can match the energy efficiency of lithium-ion technology. It stores energy by splitting CO2 into solid carbon and oxygen in a flow battery configuration, utilizing abundant materials and simple reaction c ...

Noon Energy has developed a new class of battery technology that will cost-effectively turn intermittent solar and wind electricity into on-demand power. It uses ultra-low-cost storage media and can match the energy efficiency of lithium-ion technology. It stores energy by splitting CO2 into solid carbon and oxygen in a flow battery configuration, utilizing abundant materials and simple reaction c ...