Award Data

Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

Tall towers and foundations for modern offshore and land-based wind turbines are too large to transport over roads or rail due to their extremely large dimensions. Existing “one-off” on-site construction methods are too expensive, and are too slow for manufacturing foundations and towers in the large numbers needed, especially for offshore components manufactured in ports with limited lay-down ...

Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...

The preservation of experimental data gathered by the nuclear physics community is being compromised by the dramatic increase in the rate of data generation. Physicists need to be able to easily archive the data, along with its experimental context and their current analysis procedures, in order to prepare for future breakthroughs in analysis technology and/or potential changes of the group perfo ...

New products and services are needed to improve the performance and durability of wind turbine mechanical-drive systems that operate in extreme environments. In particular, the gearbox components (gears and bearings) require wide-temperature-range operation; resistance to corrosion; and solid-lubrication capability for start/stop, run-in, and lubrication starvation events. In this project, these ...

As reported by Internet security threat reports, Bot networks are becoming the focal point for cybercriminals. Milcord and the University of Wisconsin, responds to this challenge with our proposal ¿ a ¿Bayesian Activity Monitor for Botnet Defense¿ (BAM-BD). In this proposal, we will research, design, and develop a botnet detection and mitigation tool that automatically classifies botnet behavio ...

Improved hydrogen separation membranes are needed for next generation power systems. Recent advances in metal membrane technology have identified a Pd alloy composite membrane that is not susceptible to embrittlement and poisoning problems, which have prevented widespread industrial use of Pd for high-temperature H2 separation. However, there is still a need to prepare thin membranes on porous ...

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 ...