Award Data

Approximately 5-6% of military injuries involve some form of major peripheral nerve injury with little chance of spontaneous healing. Currently these injuries lead to major impairment of voluntary muscle function in the limbs and extremities, making tasks of walking, reaching, grasping, etc. very difficult or impossible for many patients. It is not enough to focus therapeutic treatment on the se ...

In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...

The objective of this proposal is to enable high-sensitivity, passive imaging system of natural mm-wave emissions, which can be used as standalone or fused with other imaging modality such as conventional IR imagery in degraded environments. This is achieved through a unique antenna integrated electro-optic (EO) modulator, where received mm-wave signals modulate an optical carrier. The optical car ...

The Key to further improving the data rate in data communication while minimizing the power consumption is to improve the linearity of a power amplifiers in the system. Carbon Nanotube (CNT) offer intrinsically linear behavior, but to realize advanced linearity in a practical device requires high quality CNT material, and a fabrication process that can take the full advantage of the superior prope ...

ABSTRACT: Ultra-high performance concrete (UHPC) materials with outstanding material properties offer significant promise to transform infrastructure design and service life. Evolution of UHPC into a mainstream construction material would benefit from the resolution of issues relevant to the restrictive selections of finer aggregates/fillers, large heat of hydration and thermal stresses, high aut ...

ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...

Clinical monitoring of mental health status has not evolved much from the routine meeting between patient and clinician, which suffers from a lack of quantification, irregular and anecdotal reporting, and does not necessarily include input from caregivers. This is unfortunate given today's technology, where people routinely volunteer to track their own health related behavior, such as exerc ...

The DF&NN team has significant experience in delivering Space Domain Awareness tools. These tools will be applied to 2 years of GEO ephemeris data of active satellites at DF&NN. The RDESB prototype will reduce the risk in rapidly discovering the behavioral patterns of potentially evasive and/or ambiguous active resident space objects. RDESB will detect non-Keplerian behavior in ephemeris data for ...

Large ground-based telescopes require adaptive optics (AO) to correct for distortions introduced by atmospheric turbulence. In order to function, the AO system must track a bright point source. Although a natural star may be used, full sky coverage requires an artificial beacon created with a laser. The most common type of laser guide star (LGS) employs the mesospheric layer of sodium atoms at an ...