Award Data

ABSTRACT: Researchers are identifying new biomarkers to help monitor, diagnose, and treat growing threats to the human body and enhance human performance. Recent sensor work combining biorecognition elements with field effect transistors (bio-FETs) has been shown sensitive and selective to biomarkers in the picomolar range with continuous detection; however device-to-device performance variability ...

Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

For prediction of hypersonic aerothermodynamics, knowledge of the relevant disturbance levels is required to determine transition locations in flight at the altitudes of interest. Tao Systems and University of Maryland (UMD) propose to develop a flight platform and measurement system capable of acquiring pressure, temperature, density, velocity fluctuations, and particulates using a miniaturized, ...

Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

ABSTRACT: Our focus in this proposal is to perform basic research to create bio-inspired 3-D morphing mechanical structures which are a gateway technology to enable true 3-D morphing flight. Prioria and Virginia Tech University will team to perform basic research into bio-inspired structure such as artificial bones/wings/feathers and artificial muscles. Prioria will establish technical feasibility ...

Realistic surgical simulation requires a combination of representative tissue geometry, accurate tissue material properties and lifelike tool-tissue interaction forces. Recent advances in computational power and imaging modalities have provided the capability to represent the anatomical details required for surgical training; however, the mathematical models which govern the underlying tissue pro ...

BioMojo LLC and the Departments of Mathematics and Biomedical Engineering at the University of North Carolina Chapel Hill, will develop a preliminary bio mathematical model framework to represent how human tissues interact and behave at their boundaries. Tissue interaction properties (e.g. tensile, shear, friction, and so forth) of connective, epithelial, muscular, and nervous tissue including su ...

ABSTRACT: The goal of this STTR is to design micro air vehicles (MAVs) capable of adaptively changing wing geometry utilizing novel active materials that overcome limitations of previous attempts at implementing practical biomimetic multifunctional structures. The basic idea of a morphing aircraft wherein the vehicle changes its shape to optimally perform in multiple flight segments holds the prom ...

The goal of this STTR is to design UAVs capable of adaptively changing wing geometry utilizing novel active materials that overcome limitations of previous attempts at developing and implementing practical and operational relevant morphing concepts.The basic idea of a morphing aircraft wherein the vehicle changes its shape to optimally perform in multiple flight segments holds the promise of achie ...