Award Data

Senior management personnel within NAVAIR and other Navy organizations are faced with the complex task of making investment and acquisition decisions regarding training programs and human performance-related technologies. Currently, training decisions are often being made without the aid of objective data, leading to best guesses based on heuristics and previous experience, with recent literature ...

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 ...

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 ...

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 ...

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 ...

Pendar will use bandstructure engineering to optimize new quantum cascade laser design, with the goal of developing laser chips with wall-plug efficiency exceeding 40% and power level of 10 Watts while maintaining good beam quality. We will in particular focus our efforts on means to minimize the detrimental effects of carrier leakage and to improve the thermal impedance of the lasers.

For this program Forward Photonics will be teaming with UCLAs Terahertz Devices and Intersubband Nanostructures Laboratory for the modelling and design of the active regions of new QCL devices with wall-plug efficiency > 40%. During this program, we will grow, fabricate, package, and test QCL devices with this improved design targeting the high efficiency levels.

There is a Department of Defense (DoD) need for improved hyperspectral imaging in the mid-infrared and longwave infrared for improved situational awareness, target identification, standoff detection, and remote sensing. Current state-of-the- art tunable filters are single function, have limited optical throughput (~50%), are bulky (~ 100cm3), are slow (~40ms switching time), and have narrow bandwi ...

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 ...

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 ...