Award Data

The goal of this project is the formulation a rigid, insulating, low-density wood composite, with physical and thermal properties comparable to fossil fuel derived foams. _x000D_ _x000D_ To achieve energy conservation standards mandated by certification agencies such as Passive House and LEED, high performance buildings require multiple shells of insulation – an inner shell that contains electri ...

The drinking water crisis in Flint, Michigan reminds us that lead remains dangerous and insidious toxicant that can impact public health for months or years before it is detected and remedied.Increasing awareness of lead contamination has motivated the general public to test their own drinking water, but few tools are availiable to help these "citizen scientist" do so effectively.Current lead scre ...

This SBIR Phase I project proposes a probabilistic approach to determine a vehicles location using onboard video sensors and foundationalmap data. The system does not rely on only one type of information source, instead it combines proposals from a variety of locationestimators to find a vehicles location in GPS-denied environments.The system takes advantage of recent advancements in computer visi ...

The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

This SBIR Phase II project will develop biologically inspired computational models and algorithms to enable low-shot and one-shot detectionof objects-of-interest in remote sensing imagery. The Phase II effort will build upon our Phase I work including multi-scale representationlearning framework and deep-learning based feature extraction and matching techniques for low-shot target detection. The P ...

The use of enzyme-linked immunosorbent assay (ELISA) to detect contaminants such as solvents, fuels, and pesticides in soil and water samples is now well established. Although ELISA and related methods can facilitate analysis of samples, several washing and separation steps are involved that require 30 to 120 minutes per sample to reach equilibrium. Recently, near infrared fluorescence immunoassa ...

The U.S. Department of Education has identified the need for more effective tools and technologies for increasing student reading skills. In response to this need, American Research Corporation of Virginia proposes the development and evaluation of interactive multimedia for reading instruction targeted for children in grades K through 2. Interactive multimedia is the integration of text, graphic ...

The U.S. Department of Education has identified the need for new technologies for enhancing career placement and career maintenance skills of individuals with disabilities. In response to this need, American Research Corporation of Virginia proposes the development and evaluation of interactive multimedia for diffusion of job matching and searching strategies to adolescents with disabilities in g ...

The U.S. Department of Education has identified the need for technologies to increase parents' skills in nurturing young children's learning and development. In response to this need, American Research Corporation of Virginia proposes the development and evaluation of interactive multimedia for enhancing parenting skills of adolescents and adults with children aged 2-4 years. Interactive multimed ...