Award Data

Storagenergy Technologies Inc. proposes a novel methodology that allows for the 3D printing of different wholly thermally cured thermosets in a fast and precise fashion mask-image-projection-based -Stereolithography (MIP-SLA) additive manufacturing process. The proposed MIP-SLA based approach has several advantages over other technologies for additive manufacturing of thermoset polymers, including ...

We are proposing to design and fabricate an advanced monolithic 3D blade trap, which will be much more powerful and more stable than typical blade traps. Our design will incorporate features that will radically improve the trap operational capabilities over today’s standards. The trapping zone will be cut up into spatially distinctive sections, each of which will be optimized for performing a sp ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

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 ...

Dr. Thomas J.R. Hughes, senior advisor at Coreform, first introduced isogeometric analysis (IGA) in 2005. In the years since, it has been shown that smooth splines, the basic building blocks of IGA, allow for the use of relatively coarse meshes for accurate analysis in both finite element analysis (FEA) and computational fluid dynamics (CFD). Research results also show that IGA delivers improved a ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

COVID-19, a novel coronavirus disease, induces a hyperimmune response (cytokine storm) upon infection that often leads to hyperinflammation and immunosuppression. During the immunosuppression, the body is susceptible to other infections, which potentially increase mortality rates. The Center for Disease Control and Prevention reports that the military’s cumulative hospitalization rate (2%) is 50 ...

Advances in DNA sequencing technology have generated a rapid expansion of human genome information and the revelation of extraordinary individual-level genetic variation. Individual genome sequencing will soon be routine and cost-effective. To exploit this resource to the benefit of warfighters, we propose an approach for identifying and characterizing genetic variants that compromise metabolic ef ...

Traditional spherical optics implemented on a common optical axis are the foundation of today’s fielded gunsights for small arms fire control. SA Photonics has helped pioneer the application of precision injection molded freeform optical surfaces in head/helmet mounted display (HMD) systems for augmented reality (AR), virtual reality (VR) and low light level sensor applications. SA Photonics tea ...