Award Data

Enig Associates, Inc., a woman-owned, small business providing advanced modeling and simulation capabilities to the DoD and DoE, is proposing an innovative and novel electrical approach, using explosive-driven flux compression generators (FCG) to convert explosive chemical energy to electromagnetic energy with very high current output and superb energy conversion efficiency and then enhance explos ...

Luna Innovations collaborating with the University of New Mexico will determine the feasibility of developing a light weight handheld multi-enzyme sensor device that is capable of detecting a wide array of water contaminants, toxic industrial chemicals (TICs). The proposed multi-enzyme electrode technology will provide significant improvements in sensitivity, operational stability, and shelf li ...

Bridger Photonics and the University of Arizona will develop a passive multi-band compressive sensor for imaging and object recognition applications. The Army has identified a need for multi-band imagery for intelligence, surveillance and reconnaissance missions among others. Multi-band systems offer enhanced discrimination capability and the ability to perform in adverse conditions (at night, smo ...

Detecting light at the single photon level is a fundamental measurement function that is useful in a wide variety of applications, including such diverse fields as biological spectroscopy, laser ranging, and quantum communications. Avalanche photodiode (APD) based single photon detectors (SPDs) are very convenient in that they are small solid state devices that don"t require cryogenic cooling. Si- ...

Without a deep understanding of causes, context, and meaning of the events they observe, Warfighters are unable to reliably develop or execute effective courses of action. Unfortunately, traditional methods of accessing this information require significant effort searching large volumes of unstructured text from varied open sources. Advanced methods for coping with this problem face several challe ...

Intelligent Automation Inc. (IAI) is teaming with subject matter expert Prof. Dan Roth from the University of Illinois at Urbana-Champaign (UIUC) to propose a web based tool to search, filter, and collaboratively work on"document chains"interactively. The proposed Semantic Inference and Filtering Tool (SIFT) will provide an intuitive interface coupled with advanced Natural Language Processing (NL ...

It is accepted that certain animals have the olfactory and learning ability to be trained in the detection of explosives and other compounds. The possibility of using rats and other small mammals to detect landmines, and potentially IED's is very real. In order to perform the detection task efficiently and effectively, these animals need to be trained, and certified as reliable and accurate. ...

"Barron Associates, Inc. proposes to develop the Rugged Automated Training (RAT) system, a cost-effective, rugged, automated environment to train and deploy small animals to detect landmines and other compounds of interest, and to evaluate their performance. The RAT system will train animals to recognize odorants using standard Pavlovian conditioning procedures in specialized, automated opera ...

Hostile conflicts leave behind millions of armed landmines in developing countries throughout the globe. Humanitarian demining is hazardous and labor intensive. A promising development in landmine detection is using small, olfactory sensitive animals trained to act as biosensor detectors. But current methods require skilled trainers following strict protocols, and this extensive time and effor ...

The number of distinct malware being released into the wild is growing at an alarming rate. Some IT security companies are seeing more than 5,000 new malware instances each day. IT security companies can no longer keep pace with this deluge using manual, labor-intensive malware analysis techniques for generating specifications that detect them. There is a need for proven and deployable automate ...