Award Data

This Small Business Technology Transfer Phase-II project will design, develop and integrate an effective and efficient motion blur elimination algorithm to Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS) system by optimizing and implementing the algorithm proposed during the Phase-I investigation to FPGA. In addition, an image enhancement toolkit for ground station ...

Nanoscale, material sensitive, imaging techniques are critical for progress in many disciplines as we learn to master science and technology at the smallest dimensions — on the nanometer to atomic-scale. However, progress in both science and technology is becoming increasingly limited by the constraints of current imaging techniques and metrologies. Fortunately, by combining coherent extreme UV ...

We propose scalable, linear-time models and algorithms for online social network analysis that remedy limitations of current state-of-the-art models by creating a capability for tracking, predicting affiliations, and roles of participants in and across online communities. The model goes beyond simple clustering and community detection by using more of the message in the media, i.e. by taking into ...

Clinicians have recognized that the nature of diseases can be highly individual resulting in different patterns of onset and progression. In turn, the response of an individual to drugs is also unique and governed by a variety of factors. Pharmacokinetic models represent the movement of a drug through the body, and personalized pharmacokinetic models aim to capture the unique responses of specific ...

Luna Innovations will determine the feasibility of modifying our novel bio-encapsulation technology for enhanced recovery of viral and bacterial targets from swab-like biospecimens. In the proposed Phase I, Luna will work with Dr. Hudson (North Carolina State Univiersity, College of Textiles) in order to modify our encapsulation process for integration with non-woven materials for swab collectio ...

The Progeny – University of Utah team proposes a new approach for flow noise reduction to improve acoustic sensor performance. Our proposal is to investigate the ability of controlling the turbulent flow by utilizing acceleration which makes the flow locally laminar. Our proposed method of achieving acceleration is to send the flow around a concave surface, by adding a “two-dimensional bump ...

N/A

N/A

N/A

N/A