Award Data

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

We propose an innovative solution that includes a novel, automated and intelligent/adaptive red team attacker engine, together with a virtualized playing field testbed (with lifecycle automation, adaptive scoring and more). WhizRT will be able to intelligently choose its actions through an attack behavior tree and execute attack steps across the hands-on playing field. It combines state-of-the-art ...

U.S. Government computer networks have seen an increase in the number and complexity of data breaches over the last few years. The only solution to combat this situation is to incentivize cybersecurity defenders to train more frequently with a purpose to continuously learn new skills regardless of their current skill level and to increase the speed of their Cyber Observe, Orient, Decide and Act (O ...

The proposed effort puts forward a novel methodology of real-time trajectory generation and optimization for hypervelocity projectiles based on real-time threat data. The proposed method has its roots in the model-predictive closed-loop control technique. The threats, which may consist of multiple missiles, are being observed by ground-based radars or electro-optical/infrared sensors. The hypervel ...

The United States has fielded a layered missile defense system to counter and defeat current hostile missile threats. However, evolving adversarial capabilities requires new propulsion technologies that are highly responsive, agile and compatible to current MDA interceptor platforms. To meet this evolving need, Valley Tech Systems (VTS) is proposing the development of a high performance Affordable ...

In this program, Freedom Photonics will develop a novel, miniature gyroscope that meets the requirements of the MDA. This gyroscope will be based on our prior work and demonstration of the gyroscope with similar performance, but larger footprint. Approved for Public Release | 18-MDA-9710 (6 Jul 18)

In this MDA program, NanoSonic proposed to combine our structural component composite additive manufacturing (AM) technology with our Thoraeus Rubber veil to produce ultra-lightweight electronic and radiation shielding composites for missile interceptors. NanoSonic has recently developed ultra-high temperature and shock resistant 5" diameter gun barrel overwraps our AM filament winding proc ...

The Peregrine Falcon Corporation utilizing its proprietary technology in the fabrication of exotic materals will produce kinetic vehicle components such as sensor baffles, bulkheads, protective covering, shielding, interfaces, deployment systems, separations systems, housing structures for electronics, and even primary structure that will yield the lightest weight, highest performance structures p ...

NanoSonic will work with Virginia Tech nanomaterial physicists and Honeywell space system engineers to develop, demonstrate and transition to manufacturing rad hard resistive random access memories (RRAM) and related electronics based on resistive nanofilament bridges.Through prior basic research, NanoSonic has demonstrated early metal-insulator-metal (MIM) memory devices. Data is stored by creati ...