Award Data

There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

The Air Support Operations Center (ASOC) is a complex sociotechnical system that requires teams to coordinate to effectively manage both routine and crisis events. Maintaining readiness within this environment is challenging due to the variety of tasks a...

Busek Co. Inc. and The University of Notre Dame propose to develop room-temperature ionic liquids (ILs) that are robust, non-volatile, transparent, radiation hard, and atmospherically tolerant for use in electrolytes for reversible electroplating applica...

Triton is proposing to develop a family of preceramic polymers and polymer formulations that will produce group 4 (Zr and Hf) carbides and carbide/boride mixtures in good yield. The target yield for the program is 60 vol%. The goal is to develop material...

In this Phase 1 proposal, Vuronyx Technologies in collaboration with Georgia Institute of Technology, Atlanta (GT) intends to fabricate composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursor...

Automatic target recognition (ATR)the identification of a potential target based on signatures in sensor datais fundamentally a question of information content. While ATR has been studied for decades, it remains a challenge because multifarious tar...

Physical Sciences Inc. (PSI) and the research group of Professor Richard Osgood at Columbia University propose to develop a compact optical transceiver based on devices fabricated on a complementary metal-oxide semiconductor (CMOS) platform. The recent development of novel integrated structures in silicon including waveguides, resonators, and photodetectors will enable dramatic reductions in size, ...

Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.