Award Data

In this Phase II project, we will demonstrate a prototype in an operationally-relevant environment for Climatize®, a cloud-based software platform with the novel capability to determine and deliver user-specific thermal comfort information for weather-ready decision-making. People and organizations in a Weather-Ready Nation adapt to weather changes and environmental events with resilience. A chal ...

As aquaculture increases productivity to meet worldwide demand, it faces an increasing threat from the spread of disease, aquatic organisms, and pathogens. However, biosensor technologies have not kept pace with the need to monitor these ever-increasing threats. In particular, biomonitoring has been limited by the need for continuous human presence, whether at the point of collection or in the lab ...

This SBIR Phase II project proposes to integrate an easy to use, inexpensive, and portable bacterial concentrator with a handheld pathogen detection system to enable ultra-low cholera pathogen (Vibrio cholerae) detection. Cholera affects communities across 41 countries, including in Yemen, where in the first 5 months of 2020 has had 110,000 suspected cases. Current methods used to detect the chole ...

This Phase II SBIR project will continue the development of an optical sorter that will be used to estimate drop sizes in sprays. The optical sorter will determine the size of drops in the 0.1 to 10 microns range. Drops in this size range are prevalent in the automobile industry, where the fuel injection pressures have increased tremendously over the past two decades. These newer injectors provide ...

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 ...

To automatically detect software bugs, understand their characteristics, and categorize them according to the evolving NIST Bugs Framework (BF), SIFT is developing ISABEL: Integrated Secure Automated Bug Extraction List. ISABEL will provide three key functions:- Using symbolic analysis and fuzz-testing tools to find inputs that trigger vulnerabilities (bugs).- Using fuzz-testing, delta-debugging, ...

Domestic US aquaculture is moving toward fishmeal replacement in aquafeeds with a variety of alternative protein sources including plant-based, terrestrial and marine proteins. In our Phase I work we showed the feasibility of modifying the protein quality of several alternate protein sources, specifically animal byproduct meals, and its potential significant impacts on marine fish production. Th ...

In Phase II, Propagation Research Associates, Inc., (PRA) proposes to complete the development of a real-time nowcast of ionospheric scintillation impacts on GPS users. Continuing its partnership with NASA’s Jet Propulsion Laboratory, PRA will implement real-time production of a map of ionospheric scintillation parameters over the United States using real-time data streamed from the National Geo ...

Historical methods of reliability assessment are less and less effective as device sizes shrink. Larger sample sizes and longer duration tests are increasingly needed. At the same time, efforts to continue scaling semiconductors to ever smaller geometries is leading to an explosion of new device structures, materials and processes. The cost of testing these innovations is becoming a major barrier ...

Stochastic parameterization of large scale models is becoming an important tool for evaluating climate predictability and for enabling accurate representation of effects of micro-scale and short time physics on long time climate statistics. The models currently used to evaluate climate risk do not incorporate these stochastic effects, but represent multi-year development and collaboration between ...