Award Data

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 ...

Per- and polyflouralkyl substances, otherwise known as PFAS, are a large group of chemicals including perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS). These chemicals have a large variety of uses globally. Remediation of PFAS has gained importance due to their environmental persistence and toxicity. Water treatment methods must combine multiple strategies to be effective, as PF ...

To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logisticalsystem requires natural gas gathering lines, processing facilities,product storage tanks and Jots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermitte ...

Developing secure software is notoriously difficult, partially evidenced by the increasing trend in vulnerabilities disclosed per year. While significant effort has gone into developing tools and automated test frameworks, human behavioral aspects of the software development process have remained relatively unexplored. These behavioral aspects, such as relying on inexperienced developers or prolon ...

Demonstration and firing of thermally enhanced alcohol fuel w/Nitrous Oxide at 900 Lbf. To address the need posed by the Missile Defense Agency (MDA), TGV proposes a “˜green’ engine that uses a simple blend of liquid blend of fuels and TGV’s engine technology. TGV proposes modifying our existing 1,000 lbf engine that we have tested to demonstrate and get thermal data using nitrous as the ox ...

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 ...

To address the need to mitigate cooperative and noncooperative in-band interference in airborne anti-submarine warfare (ASW) systems, ARiA will develop and demonstrate the feasibility of signal and information processing algorithms for mitigating various types of in-band interference. ARiA will develop and evaluate (1) model-based adaptive signal processing in space, time, and Doppler to mitigate ...

In this SBIR effort we will develop an ultra-compact, high-speed, low RIN and high-power transmitter for high-performance RF photonic link applications based on our cutting-edge lithium niobate on insulator (LNOI) modulator. In phase I, we will design, fabricate and characterize a low Vp, push-and-pull LNOI modulator. We will study the optical couplings at the laser/modulator/fiber interfaces to a ...

To support Navy’s need for novel algorithms using improved energy clustering and association techniques to represent the spatial and Doppler distribution of active-sonar returns to improve active-sonar tracking and classification performance for the AN/SQQ-89A(V)15, ARiA will develop and demonstrate the Next-Generation Clusterer (NGC), a suite of algorithms for feature-augmented contact localiza ...

In this SBIR effort we will collaborate with Dr. J.C. Campbell’s research group at the University of Virginia (UVA) in developing a high-power, high-speed, high-linearity photodiode (PD) receiver optimized for operation at 1 micron wavelength. In phase II, we will fabricate, characterize, package and commercialize the 1 micron photodiode that we have successfully designed and studied in our phas ...