Award Data

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 ...

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 ...

Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...

Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

The safety and operational success of the U.S. Navy (USN) depends on expert navigation, seamanship, and shiphandling skills. Tragically, the Navy experienced four major incidents in 2017. The resulting USN Comprehensive Review identified lapses in basic seamanship and safe navigation skills as contributing factors, reinforcing the critical need for rigorous shiphandling training and proficiency as ...

Areté proposes the development of Q-switched semiconductor lasers that can be scaled to produce high output peak powers within the blue/green wavelength band. The proposed system will utilize nanostructure quantum wavefunction engineering for gain material designs having extended excited state lifetimes and suppressed non-radiative processes to enable energy storage for high-peak-power optical pu ...

We propose to develop Cyber RAMPART as an extensible and customizable training delivery tool with near-term transition potential. It will offer shipboard operations personnel the opportunity to develop foundational cyber awareness knowledge and skill that prepares them to participate in their ship’s cyber defense mission and to hit the ground running in future fleet-level exercises that include ...

In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...

We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...