Award Data

This Small Business Innovation Research Phase I project aims to develop a disk jockey (DJ) musician's instrument for synchronizing digital media data to a specific location on a device and using this technology for inspiring and educating middle and high school students in Science, Technology, Engineering, Art, and Mathematics (STEAM). Global expanding markets for DJ gear, a $1.587B dollar growth ...

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to improve the safety of firefighters through the research and development of a real-time, wearable sensor system comprising a biometric heads-up display and accompanying analysis tools. This device collects each firefighter?s vital signs in real-time, displays the information via a heads-u ...

This Small Business Innovation Research Phase I project provides a tool to allow for computer science curricula modifications to better prepare computer science graduates for workforce demands. 69% of working software developers are self-taught and 43% utilized on-the-job training as their primary learning source. The United States is becoming increasingly dependent on technology to remain competi ...

The broader impact/commercial potential of this project centers on bringing enhanced independence, productivity, and quality of life for hundreds of thousands of individuals in the US who live with severe physical disability due to spinal cord injury or other debilitating neurodegenerative disorders, such as amyotrophic lateral sclerosis (ALS). Due to improvements in emergency medicine and increas ...

Colloidal perovskite quantum dots (QDs) or nanocrystals (NCs) with structure of CsPbX3 (X = Cl, Br, I) are promising materials as down-converting phosphors due to their high quantum yield up to >90%, extremely narrow emission band ~15-30 nm, and tunable emission wavelengths of ~410−700 nm via size or composition control. Compared to other QD materials, the optical and electronic properties of pe ...

Numerous machine learning frameworks exist, each with highly variable support for accelerated computing (e.g. Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), etc). A library of machine learning primitives could support the many disparate frameworks and boost the advancement of machine learning research and programs, such as those underway in the DARPA Data-Driven Discover ...

R-DEX Systems proposes to team with the University of Southern California to develop the Spatial-Diversity Communication Link (SD-Link), a free-space optical (FSO) communications system for reliable and high-capacity wireless communications. The proposed SD-Link will build on the team's previous published work in FSO communications using spatial diversity and the team's previous STTR collaboration ...

At the present, the United States does not have a designated disposal site for used nuclear fuel — the nation therefore faces the prospect of extended long‐term storage (i.e., >60 years) and deferred transportation of used fuel at operating and decommissioned nuclear power plant sites. We need to augment nuclear waste canister Ageing Management programs with Modeling capability that is compreh ...

The vision is to create enterprise-grade software tools supporting the design and improvement of manufacturing systems, tools that can provide answers to fundamental business questions about product selection, resource planning, scheduling, and logistical control – quickly, accurately, and with adequate consideration of risk. Objectives accomplished in Phase I included adding formality and rigor ...

Proposal title: Accurate and Rapid Measurement of Adsorption Capacity of Fly Ash in Concrete Mixtures Interference of unburned and activated carbon in fly ash with air-entraining admixtures (AEAs) 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 Phase I, ...