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A day in the life of a Health Care Aide: Frontline perspectives on when, where, and how information and communication technologies could be helpful
DownloadFall 2012
Background: The purpose of this focused ethnographic study was to gather a firsthand account of a day on the life of a Health Care Aide (HCA) in rural Alberta to see when, where, and how information and communication technologies (ICTs) could help support their work. Methods: Four HCAs working...
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A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
DownloadSpring 2023
In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...
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Spring 2021
Alarm systems are considered to be essential components of industrial control systems, and are used to communicate the indication of alarm states to operators, ensuring the safe and efficient operation of modern industrial plants. Ideally, alarms should only appear when there are abnormal...
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A Data-Driven Method for Measuring Position Resolution in the DEAP-3600 DarkMatter Detector
DownloadFall 2019
DEAP-3600 is a single-phase liquid Argon dark matter detector operated at SNOLAB in Ontario, Canada, searching for Weakly Interacting Massive Particles (WIMPs). It is well-established that astronomical and cosmological observations suggest the existence of some form of unseen matter in the...
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A Data Driven Approach to Creating a Traffic Sign Asset Inventory using Remote Sensing Technology
DownloadSpring 2019
Traffic signs play a critical role in the safety and efficiency of any roadway, but with limited information on the current status of traffic sign inventories, the placement and condition of traffic signs goes largely unchecked. Therefore, the collection of a complete traffic sign inventory (TSI)...
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Spring 2011
The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANN). Re-searchers have proposed randomized data partitioning (RDP) and stratified data partitioning (SDP) methods for partition of input data...
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Fall 2012
Recent proliferation of low-cost and lightweight GPS tracking devices led to a large increase in the amounts of collected mobility data. The rapidly emerging field of location-based services requires accurate and informative knowledge mining from these large quantities of data. One such mobility...