Award Data

Prixarc proposes to develop and commercialize novel terahertz (THz) focal-plane array (FPA) that utilizes 3D microstructures, smart readout integrated circuits, and allows efficient integration with processors that incorporate machine learning to increase the data collection efficiency. We plan to collaborate with University of Miami (UM) and Kansas State University (KSU) for this project. We prop ...

One million eighty-five thousand five hundred and seven (1,085,507) barrels of hazardous liquids spilled in the US between 2003 and 2022. Accidents involving tankers, barges, pipelines, refineries, drilling rigs, and storage facilities cause these hazardous chemical spills. Careful management of these sites is vital to prevent hazardous materials from causing harm to humans, wildlife, or ecologica ...

The amount of data collected from the suite of current and future sensors far surpasses the bandwidth of analysts to processes the data streams into actionable intelligence. This pixel to pupil ratio problem is a forcing function for developing robust algorithms which accurately find non-cooperative objects while minimizing the false alarm rate.  As exploitation algorithms are tasked with perform ...

Public transit is particularly vulnerable to disruption and shocks from pandemics due to the collective nature of its mobility. The COVID-19 pandemic has brought new needs to keep all facilities clean for the safety of people at all times. To prevent the spread of coronavirus through transit facilities, keeping surfaces disinfected is incredibly important. The aim of this project is to contribute ...

The need for automated labelling of overhead data is obvious, less obvious is that these unlabelled images provide an opportunity to improve autonomous labelers making them more accurate and more dynamic. Extracting even a small amount of information from the stream of unlabelled samples has the potential to massively impact the quality of machine learners for remotely sensed imagery. The proposer ...

Modern Artificial Intelligence (AI) solutions generally employ carefully-crafted Neural Networks (NNs) that require extensive human effort to perform detection, identification, and annotation on each image to create training datasets. AI tools are desired that are optimized for object identification and annotation across diverse families of image data, are reliable and robust, not dependent on e ...

Public transit is particularly vulnerable to disruption and shocks from pandemics due to the collective nature of its mobility. The COVID-19 pandemic has brought new needs to keep all facilities clean for the safety of people at all times. To prevent the spread of coronavirus through transit facilities, keeping surfaces disinfected is incredibly important. The aim of this project is to contribute ...

In the passage of the Fixing America's Surface Transportation Act (Pub. L. No. 114-94), Congress challenged the U.S. DOT and the Federal Coordinating Council on Access and Mobility (CCAM) to develop a cost allocation technology to account for disparate federal reporting requirements and maintain separation of funding sources by trip for non-emergency medical transportation. The U.S. DOT notes the ...

Interference of unburned and activated carbon in fly ash with air-entraining admixtures (AEA’s) in fresh concrete mixtures is a major concern in the concrete industry. Therefore, a rapid and accurate measurement of adsorption capacity of fly ash is of great interest to this industry.In this project, a new method is suggested, which can qualitatively and quantitatively measure different surfactan ...

Prixarc proposes to develop and commercialize an efficient, fast, and low size, weight, power, and cost (SWaP-C) digitizer and processor system for use with fast photodetectors. High-speed data converters are critical in building a fast and a reliable photon detector in a small form factor. The specific goal is to design an analog to digital converter (ADC) with sampling rate of 10 Giga samples pe ...