Award Data

Information fusion is critical to the effective analysis of battlefield intelligence, but because it remains mostly un-automated it places high demands on the limited resource of skilled human analysts. We propose a principled approach to information fusion in the context of Situation Development that is grounded in formal models and methods. Situation development involves fusing information fro ...

The objective of this program is to develop a portable biosensor system to facilitate the rapid evaluation of complement activation in injured personnel. Traumatic blood loss and tissue damage resulting from civilian or battlefield trauma leads to complement activation that, if left untreated, contributes to further tissue damage, shock, respiratory distress syndrome and multiorgan failure. Approp ...

Rapid noninvasive detection of blast lung injury is of great interest for forward military medical care, homeland defense, and civilian trauma. Near Infrared and Diffuse Optical Spectroscopy (NIRS, DOS) are novel techniques that can penetrate non-invasively through the thorax/lungs, detect air/blood beneath the surface, and measure the lung function. The overall objective of this project is to dev ...

The goal of this Phase 2 project is to build a prototype system that will enable scanning of TRICARE paper medical records into electronic format. The system to be built will be highly usable; enabling healthcare providers with no access to training and manuals to be able to use this data searching and mining system efficiently and effectively in order to provide better care for our veterans. Bu ...

Troops entering unknown passages such as tunnels, caves or sewer pipes would benefit from knowing something about its geometry. This project aims at providing a system that reveals the geometry of such passages before the troops have to enter the passage. Sound is projected into the passage and the reflected waves are recorded and processed. The result is a map or diagram of the geometry - the cro ...

Field tests in a variety of scenarios indicate significant advantages to using polarization for enhancing target detection in cluttered backgrounds or backgrounds with countermeasures. Polarization provides additional information in these difficult detection scenarios and has strong potential to address a variety of Army and MDA needs. For midcourse scenarios, debris and decoy clouds, low thermal ...

Course of Action (COA) forecasting is the capability to integrate temporal and spatial data from multiple intelligence sources, evaluate this data for historical patterns to identify patterns in order to predict future actions at specified spatial locations. In Phase I, we developed a COA Decision Agent based on our learning agent and geospatial similarity approach on an information extraction pla ...

Because many future Army missions will increasingly rely on the performance of unmanned aerial vehicles (UAVs) in challenging operational environments, there is a need for novel human-system interfaces that improve the likelihood of mission success. We propose to iteratively design, develop, and evaluate such interfaces using a Multimodal Interface Toolkit for UAV Systems (MITUS). In Phase I, we ...

Image noise is often a limiting factor in target detection and recognition using infrared cameras. Many techniques exist for limiting temporal noise, but the predominant solution for fixed pattern noise correction is radiometric non-uniformity correction (NUC). This adds moving parts to the camera design and requires taking the camera off-line every 10 minutes or so during operation. Our proposed ...

Future Army missions at the Unit of Action will rely on the ability of human and computers to fuse disparate data sources to support complex Intelligence Analysis tasks. To support the development of such systems, we propose to design, evaluate, and Build Interfaces For Operator-in-the-Loop Data Fusion (BIFOLD). Under Phase I, we demonstrated the feasibility of our approach. Specifically, we p ...