Award Data

ABSTRACT: Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data, including video and hyperspectral imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets ...

ABSTRACT: An unseeded measurement technique is proposed for simultaneous spatially-resolved measurements of density, temperature, and velocity in hypersonic wind tunnel flows with the future potential for time-resolved measurement capability. A variant of filtered Rayleigh scattering (FRS) will be developed that takes advantage of unique monotonic relationships between molecular vapor cell filter ...

ABSTRACT: Analysis and Applications and Associates, Inc. (AAA) proposes to develop software that evaluates effects of the hypersonic flow environment on electro-optic/infrared optical systems and vehicles for specific hypersonic flight profiles. We propose a high fidelity definition of the near-field flow, using the latest CFD and turbulence modeling technologies, to determine the environment from ...

Leveraging the results of our Phase I work, the Torch Team proposes to execute laboratory-based experiments to elucidate fundamental micro-debris formation mechanisms to improve optical modeling of impacts. Optical signatures from impacts collected over the last decade have identified definitive micro-debris parameter trends. However, current theories have difficulty reproducing these optical ob ...

ABSTRACT: The proliferation of autonomous- and human-machine systems necessitates the creation of new tools for system design and evaluation. Key among these are simulation testbeds that support interactions between multiple warfighters and systems, and methods for creating and integrating intelligent agent models into simulation environments. We see a significant opportunity to advance the state ...

Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

Computational Sciences LLC will collaborate with the Rensselaer Polytechnic Institute (RPI) to develop and validate a stand-alone computational module that naturally accounts for the effects of turbulence. Such fluctuations and transitions may be associated with compressible flows and boundary layer interactions. The module will be designed for implementation in to existing legacy codes for use in ...

FOMS Inc. and University of Southern California propose to develop the PRecision Optical Navigation Guidance (PRONG) system to provide continuous, high quality range and bearing data to fixed wing aircraft during landing approach to an aircraft carrier. The PRONG system uses infrared optical communications with advanced modulation and coding to measure range between ship and aircraft with accuracy ...

Knowledge graphs are information networks with a specific topology. The topology is simple enough that we do not need graph grammars to specify the subgraphs that belong to a mission graph. Knowledge graphs can be modeled as terms of an algebraic data type in a type system called Flutes. Flutes was created by Datanova Scientific to rigorously analyze formal approaches to semantic integration. This ...

Intelligent Automation, Inc. (IAI) proposes to understand social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot activity, and implement them in a mature social media analytics software tool. Our approach will use predictive socio-computational models that exploit context, user, friends, temporal, and network features of social medi ...