Award Data

ABSTRACT:We will design, prototype, and demonstrate the Unique Learning Trajectory (ULTRA) LMS. ULTRA will incorporate features from personalized medicine (PM). Two key PM features as applied to Air Force training are 1) a systems approach to capturing descriptors for each Airman and 2) big data analytics. Descriptors include person factors such as personality dispositions, gender, age, and intere ...

ABSTRACT:Multiple-input, multiple-output (MIMO) RF systems are revolutionizing the RF communications industry by transforming historically problematic, heavily faded RF environments into rich, multi-channel media data rates enhanced by factors of 2-4X or more. Although the air-air datalink scenario does not enjoy the rich multipath environments that are exploited by commercial and military MIMO sy ...

ABSTRACT:The weather community has improved the gridded environmental analysis data sets over the years however, the final step of tailoring this data to make it relevant to specific mission profiles has yet to be suitably automated and integrated into decision support tools. For example, weather information provided during mission planning is inadequate or poorly formatted to be useful by planner ...

ABSTRACT:Recent advances in in machine learning have dramatically increased the state of the art in related tasks, such as image recognition and machine translation. Most of this progress has centered around families of neural network algorithms that are broadly called deep learning. It is believed that there is a significant opportunity to apply these breakthroughs in image, text, and video proce ...

ABSTRACT:EWA Government Systems, Inc. (EWA GSI) and team member NextGen Federal Systems LLC propose to examine how to utilize EWA GSIs Electronic Warfare Suite, an Electronic Warfare (EW) training application as the basis for EW Battle Management and Situational Awareness (EWBM-SA) system. The existing training application has all of the radio signal propagation and visualization components as wel ...

ABSTRACT:Airdrop accuracy is of paramount importance since airdrop systems landing in unintended locations could create internationally damaging outcomes. There is an opportunity to compensate for local effects by learning their impact on the airdrop trajectory from previous missions. Aurora Flight Sciences is teaming with Boston University to apply deep learning techniques to historical airdrop d ...

ABSTRACT:The United States Air Force must increasingly provide supplies and munitions via airdrop to ground forces spread diffusely over large areas amid hostile enemy-held terrain. The calculation of the airdrop release point is crucial for ensuring safe and accurate delivery to designated landing sites. Wind and parafoil models have insufficient fidelity to accurately predict the landing locatio ...

ABSTRACT:The Common Embedded Vehicle Network Diagnostics Interface Hardware (CEVNDIH) program defines and implements an AS5643 optimized IEEE-1394-2008 implementation that includes changes, additions and diagnostic features. Designed with the objective of improving reliability, mission availability and improved affordability of the vehicle it is deployed in, the CEVNDIH removes unused IEEE-1394-20 ...

ABSTRACT:In order to address the expanding need for high fidelity, wide bandwidth data acquisition for an increasing number of sensors in high speed rotating environments, Progeny Systems proposes a reliable, ultra-compact data acquisition system that advances the state of the art using cutting edge components and a novel architecture that is modular, scalable, and easy to install. The proposed sy ...

ABSTRACT:Software Defined Radios rely on digital FPGAs and/or high performance general purpose processors to realize flexible transmitter/receiver solutions that can adapt to various modulation schemes, waveforms, and even mission functions. However, achieving similar flexibility in the complementary RF Front End (RF-FE) poses a much bigger challenge. RF solutions are often designed to specific fr ...