Award Data

Magnetic resonance imaging (MRI) has become a primary diagnostic tool in scientific research and clinical imaging. Despite the excellent image quality that can be obtained with today’s MRIs, images acquired using different MRI systems and during longitudinal studies are not reproducible, and hence can be difficult, if not impossible, to compare. To address this issue, a standardized test of the ...

Maine Fresh Sea Farms (MFSF) will build a multi-species, multi-season prototype farm with the goal of having crops of fresh sea vegetables available throughout the year. What isn’t utilized fresh will be dried for longer-term storage and used in other products. Our team will gather data on water quality, nutrients, light levels, and hydrodynamics to assemble profiles of key parameters that deter ...

In Phase I, Riverside investigated the need for increased access to NCDC storm data using web Application Programming Interfaces (APIs) to connect severe weather and socioeconomic information. The focus of Phase I was to design and validate an architecture that specifies the methods through which the NCDC Storm data can be programmatically accessed, processed, and displayed in easy to use interfac ...

Solar active regions have a major impact on space weather. Knowledge of active regions in the Sun’s far hemisphere can improve forecasts of impending solar storms and future UV irradiance variations that negatively impact spacecraft, communications, and navigation facilities, thus making knowledge of active region locations and strengths of great benefit to society. We will use algorithms based ...

Lidar systems offer considerable promise for the acquisition of a variety of atmospheric variables with very high spatial and temporal resolution from airborne platforms. Ground-based lidar systems have been demonstrated that measure aerosols, water vapor, and ozone, and airborne windsensing lidar have been flown on several military aircraft. The growing number of commercial airliners, however, of ...

A very simple and low-cost optical sensor for measuring vibrations of mechanically supported thin films and other small objects will be developed. Such measurements are useful in characterizing elastic materials properties. The sensor is based upon the so-called self-mixing effect in lasers, which enables the assembly of velocimeters containing nothing more than a diode laser, a lens, and a sign ...

The purpose of this Phase 1 project is to demonstrate the ability to develop a neural network model of the ceramic grinding process with fusion of the sensor/process control parameter data. A model will be developed from existing NIST data using artificial neural systems (ANS) with algorithms that have previously been specifically designed to provide good results for manufacturing applications, fo ...

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