1-10 of 189 results
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Graphics Tools for Meteorology Research and Education
PI Mark Sinclair
A software package called MADS (Meteorological Analysis and Diagnostic Software) is being developed to provide gridded data (both archived and real-time) and graphical software to produce maps, cross-sections, vertical profiles, time series graphs and statistical (climatological) displays of a large number of basic and derived quantities.
Read moreCategories: Faculty-Staff
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Ice Cloud Parameterizations and Aircraft Icing
PI Dorothea Ivanova
Ice and mixed phase clouds have an important impact on aviation, but they are often poorly represented in the models.
Read moreCategories: Faculty-Staff Undergraduate
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Mesoscale Computer Modeling of the North American Monsoon over Arizona
PI Dorothea Ivanova
The Department of Meteorology is involved in research on the North American (Mexican) Monsoon in Arizona and the U.S. Southwest.
Read moreCategories: Faculty-Staff
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Cbud Computing for Meteorology Education
PI Curtis James
Weather analysis and forecasting require both critical thinking and three-dimensional spatial analysis skills to apply complex theory to the diagnosis of atmospheric processes from multiple environmental variables in a variety of formats.
Read moreCategories: Faculty-Staff
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Evaluating Simulation Tools to Study the Impact of Space Shuttle Launch on the National Air Transportation System
PI Ahmed Abdelghany
The objective of this project is to provide a comparative study to evaluate the functionalities of the available airspace simulation tools.
Read moreCategories: Faculty-Staff
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Volusia County Transportation Challenge: A Commentary Report on Volusia County's Long Range Transportation Plan
PI Ahmed Abdelghany
The objective of this project is to evaluate the long-term (5-10 years) transportation plan of Volusia county.
Read moreCategories: Faculty-Staff
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Fusing Satellite and Drone Data with GIS to Create New Analytical Decision Support Tools for Varying Farm Types
PI Kevin Adkins
PI Nickolas Macchiarella
CO-I Ronny Schroeder
CO-I University of Michigan School for Environment and Sustainability (SEAS) and the Department of Ecology and Evolutionary Biology
The synergy between moderate resolution satellite imagery and fine resolution drone imagery, LiDAR data, and meteorological data, along with generally available GIS data, must be identified and optimized. These data will be integrated to produce a variety of products that help identify what tools, inputs, and management strategies most effectively contribute to an increase in the productivity and resilience of an important agricultural system to a major weather or climate related disturbance.
Read moreCategories: Faculty-Staff
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GUMP: General Urban Area Microclimate Predictions Tool
PI Kevin Adkins
CO-I Nickolas Macchiarella
CO-I National Aeronautics and Space Administration NASA
Hyperlocal weather predictions are often necessary in order to determine whether a particular sUAS route will be safe to fly. The General Urban area Microclimate Predictions tool (GUMP) seeks to provide such predictions through the use of machine learning (ML) models and computational fluid dynamics (CFD) simulations. The computed wind flow field is converted into an intuitive risk map for sUAS operators through the use of appropriate thresholds on wind velocities.
Read moreCategories: Faculty-Staff
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Novel n x n Bit-Serial Multiplier Architecture Optimized for Field Programmable Gate Arrays (FPGA)
PI Akhan Almagambetov
CO-I David Feinauer
CO-I Holly Ross
Bit-serial multipliers have a variety of applications, from the implementation of neural networks to cryptography. The advantage of a bit-serial multiplier is its relatively small footprint, when implemented on a Field Programmable Gate Array (FPGA) device. Despite their apparent advantages, however, traditional bit-serial multipliers typically require a substantial overhead, in terms of component usage, which directly translates to a large area of the chip being reserved while many of those resources are unused.
This research addresses the possibility of an efficient two's complement bit-serial multiplier (serial-serial multiplier) implementation that would minimize flip-flop and control set usage on an FPGA device, thereby potentially reducing the overall area of the circuit. Since the proposed architecture is modular, it functions as a "generic" definition that can be effortlessly implemented on an FPGA device for any number of bits.
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Increasing student learning and engagement using a TV series: Leadership in the Final Frontier
PI Anke Arnaud
Educators are continuously concerned with developing innovative and effective teaching methodology to increase student learning and engagement. This study is designed to assess the effectiveness of an innovative instructional methodology, using a TV series to teach and develop leadership understanding, skills and knowledge.
Read moreCategories: Faculty-Staff
1-10 of 189 results