Award Data

Face masks and respirators are frequently deployed in critical protective applications (such as medical and construction environments) where fit testing is not routinely performed before each shift. N95 and related testing protocols effectively assess filtration efficiency for respirators that remain tightly fitted throughout activity, but since these protocols prescribe sealing the tested product ...

The 21st century is the Age of the Network. Operators and clients of critical infrastructure networks are now vulnerable to cascading failures that they could not have seen coming. “Cascading” failure events remain a vital unsolved challenge as critical infrastructure network operators and regulators struggle to define and operationalize resilience, and measurement of interdependent network re ...

Advances in location acquisition and remote sensing have resulted in explosive growth of spatial trajectory data, which capture the mobility of diverse entities. Intelligence analysts need technologies that can provide automated assistance regarding the detection, understanding, and sharing of salient, culturally-informed activities from this mover intelligence (MOVINT) data. Aptima and PatchPlus ...

CoVar’s DOCTRINAIRE is a new approach to computer aided object annotation that is modeled after the way expert end-users leverage generic, robust background information (e.g., what wheels look like) and known doctrine (the size and shape of components on a pickup truck) to perform reliable, explainable object detection and annotation. Our approach solves the robustness problem by training a reli ...

Photonwares proposes to develop a novel large aperture and fast EO shutter capable of meeting the NGA requirements for laser-based remote sensing applications. The clear aperture can be up to 25mmx25mm while the transition time is shorter than 10ns and the repetition rate can reach over 1MHz with a high on/off contrast ratio. The design is based on our over 20 years of commercial expertise on Pock ...

The primary goal of this proposed project is to develop a general-purpose technique for the problem of algorithm parameter selection (APS) that achieves the best performance of the algorithm and demonstrates its effectiveness within graph analysis, for the problem of community detection, or clustering.  Cell Matrix Corporation (CMC) will develop a means to greatly simplify the tweaking typically ...

LUCID (Land Use Classification Intelligence Discovery) is a novel artificial intelligence (AI) system that achieves on-demand classification of fine-grained Land Use and Land Cover (LULC) categories to create detailed LULC-annotated geospatial grid maps by orchestrating seamless fusion of satellite imagery, remote sensing, and non-imagery geospatial data layers. LUCID fuses multiple data sources/m ...

Commercial imaging satellites capture the majority of the planet’s surface every day, generating millions of images. Searching such data for specific objects of interest is extremely difficult to do manually without automated computer image analytics. NGA is seeking a novel scientific formalism and tools for training overhead image detectors on rare and new objects of interest, for which large, ...

This Project will investigate the security of a new block cipher first proposed by the Applicants and analyzed using theoretical physics techniques. This new block cipher: (i) is inspired by quantum circuit scramblers but implemented classically using reversible computing, (ii) is expected to be immune to quantum attacks, and (iii) enables direct computation on encrypted data in an alternative for ...

Criticality Sciences, Inc. proposes to test the feasibility of a novel process embodied in NetResilience™ software, for estimating risk (expected loss) and resilience (e.g. recovery time and cost), and proposing mitigation (including during recovery) associated with cascading failure in an infrastructure network. The process will be applied to the interconnected water utility sector with a utili ...