Award Data

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

The proposed research program focuses on design, fabrication, and characterization of quantum-dot infrared photodetectors (QDIPs) which features bias-tunable parameters, including the spectral response, optical gain, and operating time. Wide variations of detector parameters can be realized through the bias-tunable potential barriers surrounding quantum dots. Changes in bias will transform the ba ...

ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...

In partnership with the Colorado School of Mines Alliance for the Development of Additive Processing Technologies and with support from the Johns Hopkins University Energetic Research Group, Special Aerospace Services will provide the Air Force with characterization of fully dense Selective Laser Melted GRCop-84 subjected to a variety of manipulations that affect key performance metrics for regene ...

This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

Research has identified that handoffs are particularly important communication processes, during which communication error can lead to patient safety situations. Organizations have created standard practices and training materials to encourage teamwork communication for handoffs, however these do not necessarily capture the needs of military medicine of combat casualty care. Combat casualty handof ...

Combat casualty handoffs are critical communication moments during which responsibility for the patient and important casualty information is transferred between providers. The nature of these handoffs requires specialized training, for which no standardized framework currently exists. The proposed effort aims to develop a capability, compatible with current DoD systems, that provides caregivers w ...

ABSTRACT: In this Phase I STTR project, we propose to demonstrate the feasibility of developing a low cost, compact, time-domain terahertz (TD-THz) spectrometer specifically for the characterization of semiconductor materials over a range of temperatures, electric fields, and magnetic fields. In phase I, we will configure fiber optic coupled TD-THz instrumentation to make measurements on a sampl ...

As the frequency spectrum gets more congested, chances of harmful interference become an issue.Enemies can intentionally jam or desensitize receivers in battle critical electronic warfare systems.A tunable band stop filter with wide tuning range is required to instantaneously adapt and reject such malicious interference.Nuvotronics will collaborate with UC Davis in this STTR to bring MEMS based tu ...