Award Data

The primary objective of the proposed Phase II SBIR program is to demonstrate material modeling and process simulation tools for predicting properties of thermoplastic matrix composites (TPMCs) for next generation aviation and missile structures. In order to sufficiently characterize the influence of the material characteristics and processing conditions on structural properties, the proposed met ...

Our objective is to provide a semi-automated system to generate and verify scalable, high fidelity, multi-dimensional, social networks with realistic distributional, temporal and spatial characteristics as networks and as event sequences. This enables the user to generate networks varying in size, node attributes, geo-temporal characteristics, consistency with other networks, and reflection of kno ...

The Phase II effort will unify advanced models for simulating post burn out effects in solid rocket motors (SRM"s), coupling fluid dynamic, radiative, and conductive heat transfer processes using innovative parallelization strategies. Complex processes such as surface pyrolysis and slag formation/buildup/breakup will be modeled. Models will be integrated into a Navier Stokes CFD code that itself c ...

Advanced composite material systems are vital to the development of lightweight, multi-functional Army missile systems. In addition to reducing the weight of the structure, these material systems provide the ability to expand the function of the structure by tailoring stiffness and strength characteristics for numerous applications. Carbon fiber-reinforced epoxy structures have become very attract ...

This Small Business Innovation Research (SBIR) Phase II project focuses on developing the first artificial intelligence (AI) educational software to tutor literary Braille to blind/visually impaired students. Braille is the primary medium for written communication for persons who are blind and there has been a dramatic decline in Braille literacy, negatively impacting academic performance, ability ...

In Phase I we developed a machine learning method for predicting match score errors in iris imagery to determine the quality of the image. We now propose to develop a flexible and configurable tool for creating, refining, and applying such a match score predictor to any image quality assessment problem where a training signal can be identified. The tool will enable users to supply ground truth for ...

This Phase II SBIR proposal responds to a CBD need for improved Acoustically Enhanced Impaction (AEI) air purification in support of low pressure drop filtration. Prior to the SBIR Phase I effort, a first generation/benchmark (AEI) system developed by Applied Research Associates, Inc. (ARA) demonstrated AEI functionality and the potential to significantly reduce the annualized operation filtration ...

Acoustic air purification systems could be an important technology for protection of buildings from terrorist biological threats. The current limitations of these systems (e.g. cost, size, and power consumption) are mainly due to the inadequacy of commercially available sound sources for this application. What is needed to move the technology forward are sound sources that provide a higher sound p ...

MaxPower has designed and built a prototype primary battery for use in the Rifleman Radio. At the end of the Phase II program, MaxPower delivered six prototype batteries to the U.S. Army for testing. Testing demonstrated that this battery system is able to provide over 15 hours operation at 6.6W load at room temperature and above. It is capable to provide power for 12 hours at -30aC and over 8 hou ...

Cultural information, including the input/output from Human Social Cultural Behavioral (HSCB) models, is urgently needed to support a range of military operations from counter-terrorism and insurgency to Security, Stability, Transition, and Reconstruction (SSTR). In this Phase II effort, CHI Systems will develop a Data Analysis Visualization and INtegrated framework for Cultural Intelligence (DA ...