Award Data

ABSTRACT: Our objective is to develop a vision system for a micro air vehicle (MAV) or other robotic system that allows it to operate in extremely low light levels. We will develop systems capable of operating in ambient light or with active illumination carried aboard the vehicle, and will explore both silicon-based sensors for the visible/NIR band and hybridized sensors for the SWIR and/or MWIR ...

ABSTRACT: The purpose of this STTR project is to develop a mathematical tool to simulate EM scattering in a cluttered environment. The main sources of clutter included are periodic scattering from windmills, reflections from fixed topography and effects due to varying atmospheric properties. BENEFIT: Increase radar capability to detect targets over wind farms.

ABSTRACT: A high-fidelity computational electromagnetic solution will be developed that directly solves Maxwell"s equations in order to calculate radar returns from complex, electrically large objects in motion, such as wind turbines with rotating blades. The solution will include propagation effects from terrain and atmosphere, multipath between object parts, and the details of interior and ext ...

ABSTRACT: Confronted by a vast quantity of data, presented piecemeal, sporadically and at varying levels of detail, the human analyst is often overwhelmed when trying to effectively monitor even medium-sized areas of interest. Offline, there is a wealth of data, resolution, and time to pick through and find activities of interest. Given a large amount of high resolution data, we can simulate situ ...

Recently, the availability of the high performance rare earth based magnets (Nd-Fe-B and Sm-Co) was jeopardized due to the Chinese monopoly of rare earth production, which undermines our national security and competitiveness in the defense and clean energy sectors and creates a strategic vulnerability for the United States. This STTR proposal aims at developing the next generation of rare earth f ...

ABSTRACT: An experimental and computational effort is proposed to develop a data-driven experimentally-validated framework for analysis of plastically bonded energetic materials at meso and micro scales. A unique data-mining strategy and model reduction technology based on thermodynamics and manifold learning techniques and on nonlocal dispersive reduced order model will be devised. Reduced order ...

ABSTRACT: In order to significantly advance the fidelity and capability of current computational engineering tools, algorithms, techniques, and software which map effectively to emerging massively parallel hardware architectures must be developed. The objective of this project is to investigate and demonstrate specific techniques for enhancing the scalability of computational fluid dynamics (CFD) ...

ABSTRACT: Clear Science Corp. and Princeton University propose to develop and demonstrate software that accurately and efficiently simulates the full set of physics associated with aircraft flight operations. The critical attributes of the proposed framework are accuracy, computational efficiency, and inclusiveness. More accurate computational models will support higher fidelity analysis during ...

ABSTRACT: The chalcogenide based ion-conducting memristor has been shown to be an effective element as the core of a simple neuromorphic computing circuit. The response of the computing circuit is the result of weighted external stimuli, the current state of the device, and the history of exposure by the device to the stimuli. A highly specialized version of the device, as developed by the Advanc ...

In Phase II, based on the Phase I success, we propose to research further enabling optimizations for a wider range of sensor applications than in Phase I. We will also implement the key optimizations to SAR found in Phase I within the SANE high-productivity array language and automatic parallelization tool chain. These optimizations have a wide application domain within sensor applications and bey ...