Award Data

The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

The proposed Phase I research seeks to develop innovative tunable IR filters based on phase change plasmonic composite materials. Concepts for a switchable device that is capable of providing dynamic narrowband spectral properties within the 3-12 micron wavelength range will be developed.

Integration of kinetic training and cyber training will provide a unified platform for combined cyberspace/kinetic battlefield training for our warfighters. Such a training platform will support high-fidelity, multi-factor simulated engagements in which the trainee can be exposed to all domains that are simultaneously interacting with each other. Existing approaches do not accurately reflect the d ...

Ultra-short pulse lasers have advantages over continuous-wave lasers for directed-energy applications due to the high peak powers that can be reached. Directed-energy weapons are profoundly limited by the aberrations caused by atmospheric turbulence and current adaptive optics can correct for these aberrations only when the propagation medium is reciprocal. Unfortunately, nonlinear effects in the ...

This Navy STTR Phase I proposal presents an parallel AM tool to eliminate conventional scanning strategy. A 2D MEMS array is used to shape both in time domain and spatial domain to obtain the desired pattern for layer by layer process. Modeling is used to study in-process melting evolution versus powder and beam properties. It provides quantitative characterization of the AM system to guide the de ...

We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...

BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...

ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...

The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...

This STTR Phase II proposal continues our work towards building a simple, high quality and unobtrusive mobile physiological sensor platform. The capabilities of the Phase I prototype will be expanded by adding sensors to further acquire SpO2 and respiration in addition to forming a body area network for data collection across multiple points on a subjects body. A software infrastructure will also ...