Award Data

The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...

The NMR relaxometry instrument developed in Phase I project will be refined and thoroughly calibrated for nondestructive evaluation of the structure and properties of polymer-inorganic interfaces. The system design, operation conditions and data acquisition/analysis algorithms will be improved for precise and reliable evaluation of the structure and properties of the interfaces formed between dive ...

Environment-security researchers and practitioners must overcome several technical challenges in the course of their efforts. In the absence of an open-community platform, each researcher or institution compiles and curates their own data repositories, analytical tools, and computational environments. This results in significant duplication of effort, limits the replication and validation of resea ...

As both the response speed and sensitivity of thermal imagers have improved significantly over recent years, new IRSP systems are needed to provide greater dynamic range and faster response speeds. Addressing these issues, as well as producing a cost effective and modular IRSP system will be critical for providing quality scene projection for the next generation of infrared imagers. To address the ...

The overall goal of the proposed research program is to develop a ruggedized imaging system capable of visualization and analysis of the particle field and product gases in a multiphase blast. This will be accomplished by combining kHz-MHz-rate burst-mode laser technology with tomographic particle field velocimetry (PFV) and new nonlinear particle tracking methods to resolve dense particle fields. ...

Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments, including physics-based simulated sensor views. As new methods for sensor view generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficien ...

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 ...

Truventic proposes to design, build and characterize a 5x5 array of fully functional MEMS-based plasmonic infrared scene projector pixels which operate at multiple wavelengths to support hardware-in-the-loop testing of missile seekers, forward looking IR cameras (FLIR), counter measure simulation and tracking systems. The approach avoids known limitations of resistive arrays and provides high dyna ...

Over the past 2 years, Roccor has successfully qualified and delivered High Strain Composite (HSC) products for space-flight customers including, 1) RF-Furlable boom, 2) a furlable-antenna system; and is currently qualifying HSC products for space-flight customers including 3) an FCC certified deorbit device, and 4) a solar array deployment system. Three of these missions will be launched in 2018. ...

Thermoelastic structures pose a critical challenge to designers due to the inherent design dependence of thermal loading on structural thickness. This is further exacerbated by structural nonlinearity due to in-plane, and more importantly, the out-of-plane bending deformation that further increases the effective loading on the structure. During Phase I of this project, we have added significant ne ...