Award Data

Generalized change detection is a critical capability to mitigate the need for massive human inspection of the rapidly expanding volume ofglobal overhead satellite imagery. Current optical change detection approaches focus on fully specified systems to detect a predefined set ofchanges, and effective approaches for generalized change detection have not yet been demonstrated. We propose to build a ...

Through previous research and development, the team created a teacher platform that suggests research-based strategies for supporting students with special needs or targeted skill gaps. This project will develop a prototype of a dashboard for teachers to create, access, and track student's Individual Educational Plans (IEPs). At the end of Phase I, in a pilot study with six middle school special e ...

Through a previous grant award from the U.S. Department of Education, researchers developed Read for Success, an intervention designed to stem the summer slide among struggling readers. This project will develop a prototype of Mix Libris, an Augmented Reality (AR) enhanced mobile literacy platform designed to support and motivate grade 3 students in acquiring and improving literacy skills. Mix Lib ...

Through previous grant awards from IES and the National Science Foundation and an ED/IES SBIR award, researchers developed a virtual laboratory with performance-based simulations aligned to Next Generation Science Standards (NGSS) in physical, life, and earth science for middle school, as well as a dashboard to provide teachers real-time formative and summative assessment reports on students doing ...

Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...

In the proposed SBIR project Akita Innovations and Adaptive 3D will develop feedstock materials and methods for the additive manufacture of soft elastomers that exhibit resistance to the permeation of chemical agents.The goal of the effort is to produce a fully functional Air Purifying Respirator (APR) and to demonstrate advantages of additive manufacturing to provide innovations such as custom si ...

Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug.Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015.In addition to users, first responders are at risk for coming into contact with fentanyl as they perform their duties.Fentanyl is extremely ...

A Phase I SBIR is proposed for the development of a wearable sensor to protect law enforcement and first responders from inadvertent exposure to potentially toxic levels of fentanyl and/or fentanyl analogs.The Phase I project will demonstrate the ability of the new sensor to selectively detect the presence of fentanyl analog vapors from solid samples or air-borne particulates in concentrations bel ...

Nano Terra proposes to develop a low-cost and wearable detector badge that quickly and selec-tively alerts the user to the presence of solid fentanyl aerosols with an audible and visual alert. Current commercial fentanyl and opioid detectors are bulky and costly and have unsuitably-high limits of detection. Nano Terra will leverage their expertise in ultra-sensitive dosimetric detection of threat ...

Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable informa ...