Award Data

"Increasingly sophisticated models and simulations developed by DoD to support a range of analysis and training functions have triggered a strong demand for realistic representation of the key human decision makers that populate the battlespace. Developingadaptive and robust human behavior representations (HBRs) has not been a trivial exercise, however, especially given the dependence of most sta ...

"Robust Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters to ensure targets are identified while retaining a low false-alarm rate. For example, the image signatureof a distant target is fundamentally different from the signature of a near target, so a single ATR algorithm with a single set of parameters wi ...

"Advances in aircraft and weapon capabilities have led to a dramatic increase in the tempo of tactical situations facing the combat rotorcraft pilot, reducing the pilot's available processing and decision time. Furthermore, technological advances in cockpitdisplays, sensors, and communications have resulted in an explosion in the quantity and complexity of information available to the pilot. These ...

"We propose to develop a system for Automated Link Analysis for Data-mining of Distributed INformation (ALADDIN) to detect bioterrorist attacks. ALADDIN will use ontology-based data modeling for integrating heterogeneous and distributed data sources ofbioterrorism information. In addition to traditional sources such as hospital and ambulatory-care records, ALADDIN will incorporate data from other ...

"The Warfighter Physiological Status Monitoring (WPSM) system must deal with artifact-laden, uncertain, and dynamic biomedical sensor data. We propose to address these critical issues directly with the development of the Probabilistic Unit Life StatusEstimation (PULSE) suite of advanced Bayesian Belief Network (BBN) algorithms. BBNs provide probabilistic reasoning for dealing with uncertainty, and ...

"The US Army Natick Soldier Center develops and applies modeling and simulation technologies to evaluate new warfighter systems, both in terms of their ability to maximize individual combatant (IC) effectiveness and small unit warfighting capabilities.While past M&S work has focused on understanding the IC's physical capabilities and limitations, significant additional gains in warfighter effectiv ...

"Coprime proposes to investigate the applicability of learning-based source separation methodologies to the problem of multiple targets in a complex acoustic environment. The Phase I effort will focus on identifying viable learning-based source separationalgorithms specifically tuned to the multiple combat vehicle scenario. A prototype architecture will be developed and numerical software rapidly ...

"The objective of this proposal is to determine whether or not the modeling of buried mines, along with local environment measurements, can ever be used to predict successful IR sensor mine detection. Field experiments have often resulted in outstanding IRimagery of buried mines. Sophisticated detection algorithms have been developed to take advantage of this imagery. What continues to be lacking ...

"The project aims at developing an accurate and a reliable noninvasive, transdermal blood glucose monitoring device, based on the near infrared absorption spectroscopy. Blood glucose level provides a gauge for the effectiveness of the body in convertingfood intake into energy. Abnormal blood glucose level signals diabetes, a disorder that affects over 100 million people worldwide. Noninvasive meas ...

"Broadband visible optical limiting filters will be an essential element for soldier protection in the future battlefield environment. New materials are required that provide protection for the eye for pulses >0.5 mJ, so that the threshold at which theybecome absorbing or scattering through damage is