Award Data

Advanced Acoustic Concepts, Inc. (AAC) proposes to extend its Phase I work in Auditory Cortex based sound classification. During Phase I AAC demonstrated the feasibility and accuracy of a computational model of human auditory processing based upon this cortical theory. AAC also demonstrated the concept by collecting a large number speech sounds and bird calls of various species and appling the cor ...

Techniques to detect and identify the interested target burying in cluttered background and noise have been widely needed in both military and civilian applications. The enhancement of the target detectability is a critical factor in improving the performance of detectors. The team of Applied SR Technologies, Inc. and the Polytechnic University at Brooklyn, New York is exploring new interdisciplin ...

The objective of this project is to commercialize the Dual Band Extended Depth of Field Telescope System that is an innovative optical detection and imaging system that allows battlefield imaging through smoke, dust and fog obscurants in the 10 micron wavelength range. The system employs a dual band, multi-mode, diffraction-limited, infrared and visible telescope that can operate either in a passi ...

Clear Science Corp. and the University of California at Los Angeles propose to develop a versatile and comprehensive computational toolbox for designing feedback flow controllers in aerodynamic applications. Target objectives include separation control to manage lift and drag, control of transition to turbulence, turbulence control to reduce skin friction drag, increase mixing, or reduce heat tra ...

The goal of this proposal is to advance the state-of-the-art in malware detectors, and thereby offer protection against next-generation malicious code. Currently, malware detectors - in the form of commercial virus scanners - are an important component in the defense of computer systems. We propose to build on a technique that has demonstrated its ability to detect malware in the presence of commo ...

The Impact Technologies, UDRI and Brown University team have successfully developed an initial concept for autonomously detecting, classifying, and predicting damage in carbon-fiber-reinforced polymer (CFRP) composites using subtle changes in the resistivity signature of the structure. The demonstrated approach fused raw measurement and processed data from a set of optimally placed electrodes, alo ...

The establishment of an analytic framework for image processing algorithmic development utilizing stochastic resonance is a prime objective of this proposal. In order to achieve this goal, it is imperative to assess the relationship of the non-Gaussian nature of the noise processes, the non-linear aspects of the signal processing or suboptimal detection device, as well as the characteristics of t ...

Scientists and engineers use computer simulation to model the behavior of physical phenomena. These simulation techniques often produce prodigious amounts of output data. In order to view results, interactive visualization is used since it provides the ability to visually inspect data and interactively query particular values. However, the size of data is becoming large enough to challenge the ab ...

MesoScribe Technologies proposes the development of a passive wireless strain system based on the Company's innovative Direct Write technology. Embedded circuit elements will be fabricated directly onto the surfaces of compressor blades and stator vanes. The sensors themselves will be very low weight and low profile. A strictly passive strain monitoring configuration is proposed where a resona ...

MesoScribe Technologies and project partner SUNY-Stony Brook will develop embedded sensors with integrated mechanics-based models to assess and predict accumulated damage in graphite reinforced epoxy composite structures. Meaningful evaluation schemes for composite degradation will be developed using advanced interpretation procedures based on inverse analysis techniques. This novel approach is ...