Award Data

Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

To address the need for oceanography tactics training able to enhance community knowledge of how oceanography impacts antisubmarine-warfare (ASW) prosecution in both analysis and employment of tactical sonar systems, ARiA will build on the success of the Phase I effort to further develop the ESAIL Cloud software-based tool for generation of training content on tactical employment of oceanography t ...

Project Summary In this Phase I SBIR projectImproving Mobile Access for Recruiting Study Volunteers from Underrepresented Populations for Alzheimerandapos s Disease Research and Other Studieswe will develop test and finalize a prototype mobile responsive website to enable broaderfasterand more cost efficient engagement of research study participants from underrepresented and minority populationsSp ...

Myasthenia gravis is a severe neuromuscular disease primarily caused by complement activating autoantibodies directed towards the skeletal muscle acetylcholine receptor. Present treatments are ineffectiveand uniformly have adverse effects, which negatively impact quality of life. Despite being a rare disease, myasthenia gravis is a costly one with a hospitalization expense of half a billion dollar ...

To address the Navy need for enhanced ambient-noise modeling for sonar-sensor performance estimation, sonar tactical decision aids (TDAs), and simulation-based training, ARiA will develop, demonstrate, and transition key building blocks for an enhanced multidimensional ambient-noise model (MDANM) needed to overcome the limitations of the current state of practice for noise modeling in sonar TDAs a ...

MICA was selected and awarded to ARiA under SBIR Topic AF151-194, technically managed by AFRL/RITB with SAF/AQ-OTI as the sponsor organization. Under prior Phase I and II SBIR efforts ARiA developed, trained, and tested the Machine Interface for Contracting Assistance (MICA). MICA leverages academic and commercial-sector advances in cognitive-computing, deep learning, graph storage, informational ...

Accurate navigation is a crucial part of both robotic and crewed exploration of other worlds. For missions to the surfaces of Mars and the Moon, mission planners will require increasingly autonomous guidance systems that support fast, efficient, and agile surface route planning. These navigation systems will rely on access to accurate and regularly updated maps of surface landmarks. In a recent pi ...

AeroMancer Technologies proposes to develop an 3D Airspeed Backscatter Correlation (3D-ABC) lidar velocimeter for in-flight boundary layer flow visualization and airspeed measurement in spatially and temporally resolved 3D flow fields using a rugged, eye-safe, daytime-capable, reliable Infrared (IR) optical device. AeroMancerrsquo;s technique for measuring 3-component spatially and temporally reso ...

To support geospatial intelligence (GEOINT) through exploitation and analysis of synthetic aperture radar (SAR) imagery and address the challenges created by task-specific classification methodologies where feature extraction is mission-limited, ARiA will utilize deep learning (DL) expertise to enable automated unsupervised feature extraction (AUFE). Building upon our development of unsupervised D ...

Excessive alcohol use is the third-leading preventable cause of death in the U.S. with young adults ages 18-29 showing the highest rates of hazardous alcohol use. Community colleges serve over 12 million students, comprising 45% of all U.S. college students. Community college students (CCS) show rates of heavy alcohol use similar to students at traditional four-year residential (FYR) colleges, but ...