Award Data

Events including the Oklahoma CIty bombing and the Sarin attack in the Tokyo subway have emphasized the vulnerability of personnel, both military and civilian, to unexpected attack with conventional explosives and chemical substances. To combat this threat requires portable, low cost sensor systems capable of detecting a variety of dangerous materials at extremely low concentrations. Such a tech ...

There is a need for simple, light-weight practical instrumentation for rapid characterization of chemical and biological analytes in the modern battlefield. Recently, a surface-sensitive diode laser (SSDL), having over 1% of the mode power in the region extending 40 nm from the laser surface has been designed and fabricated. The SSDL was capable of monitoring the deposition of absorptive films a ...

Improved magnetic and electromagnetic sensors covering a wide range of frequencies, 0 to 10kHz, and with extremely high sensitivity are proposed for broad area detection and characterization of underground targets. The sensors can be used for a variety of applications and for different e.m. sources. They can be configured as gradiometers, as vector or scaler sensors and can be used as internette ...

The proof of concept research explores the potential for integrating the following four 'personal devices's () baseline IFF personal device () data applique interface to field processors () audio applique interface to voice headset or audio monitor () video applique interface to camera and display into a single, wearable non-line of sight spread spectrum IFF, tracking and duplex multimedia com ...

Many simulations environments, particularly those used for training purposes, employ simulated human behavior. To date, users frequently complain that such simulated behavior is not very intelligent and easy to "game" thus reducing the effectiveness of the training. We propose to improve intelligent agent technology through improved techniques for eliciting expert problem solving knowledge on wh ...

This work offers an innovative approach to predicting system behavior (in terms of reliability and performance) based primarily on the structural characteristics of a formal functional specification. The mechanism for process composition is codified in the CSP-to-Stochastic Petri net (CSPN) toll. CSPN supports systematic specification, automatic translation and subsequent augmentation (e.g., fai ...

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Project will demonstrate the feasibility of combining signatures from multiple sensor domains to the problem of detecting, localizing and characterizing an underground facility. The Phase I effort will focus on establishing, integrating, and validating models for the source and propagation phenomenologies associated with electromagnetic, seismic, and acoustic signatures of mechanical and electro ...

For this Phase I effort, Observera proposes to develop an attribute based system for automated image quality assessment of Synthetic Aperture Radar (SAR) Imagery. Observera's expertise in SAR image analysis, image quality assessment and digital image processing algorithms are uniquely suited to this program. The imagery community uses the Radar National Imagery Interpretation Rating System (RNII ...