Award Data

We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...

Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

Enig Associates, Inc., a 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 to Joule heat light metal load in sub millisecond time scale from a solid metal state to a first ionization plasma state going through multi-phase transitions to generate an a ...

The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula

Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...

The SEAKR team proposes to continue development of the advanced protocol routing system begun in the Phase I effort, to reduce risk toward a flight deployable system for SATCOM assets such as Iridium NEXT. SEAKRs development of the Iridium NEXT modem...

Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...

Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...