Award Data

The enormous effort devoted to the data acquisition, signal processing, and automatic recognition of stationary targets has resulted in a generation of synthetic aperture radar (SAR) systems that are meeting the challenge of real-world conditions. However, in a practical battlefield, moving targets may pose a more severe threat than stationary targets. Many high value targets are only vulnerable w ...

US forces are increasingly involved in asymmetric warfare, peacekeeping and humanitarian assistance missions. These scenarios can place soldiers in direct contact with harmful biological and chemical warfare organisms and agents, toxic industrial chemicals, and explosives. Current portable sensor technology solutions rely on visible and near-IR Raman or Fluorescence spectroscopy. But operations ...

This will facilitate the development of remedial approaches for existing facilities and assist in planning new facilities, logistics, and procedures to protect the environment without impairing critical mission functionality. The commercial application will include software distribution and updates.

The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

The rapid ascent and adoption of social media as the dominant form of communication has led to significant analysis challenges. In particular, there is a gap in theoretically informed methods to analyze data mined and collected from social media. One primary cause of this gap is the lack of fusing structural sources of information (e.g. social network topology) with non-structural sources (message ...

SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive and exteroceptive sensors that provide rich data about ...

The goal of this project is to design and build a THz-frequency spectrometer prototype with sub-wavelength spatial resolution for use in the spectroscopic and temporal analysis of trace material samples in advanced sensing and monitoring applications. The instrument operating at room temperature will include a periodic-grating microfluidic sampling system with controlled precise sample placement a ...

Thermopile arrays manufactured using integrated process compatible materials and micro-machining will provide high performance with low manufacturing cost. Black Forest Engineering (BFE) teamed with Case Western Reserve University will design thermopiles using silicon based semiconductors and compare performance. Low cost thermopiles, differentially coupled with advanced BFE CMOS readout, will pr ...

Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...