Vibration Analysis: Fault detection, classification, prediction

Vibration analysis is probably the most widely used technique to perform health monitoring of mechanical machinery. Specifically, we are interested in monitoring ‘Vibrating screens’, machines that are for example used by the mining industry to sort aggregate by size. Over the last 10 years the research group of Dr. v. Mohrenschildt has developed hardware, software […]

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Optimizations of AC/DC Converters for Powering 5G Network

The telecommunication industry is rapidly evolving towards providing faster services to accommodate the global surge in network demand. The next-generation (5G) network aims to increase the current network speed by more than twentyfold. This transition brings enormous benefits for the economy and society. A main challenge faced by network providers, however, is that the existing […]

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Tensor based machine learning with human computer interaction applications

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

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UAV-assisted wireless communication system in remote areas

In Canada, less than 30% of the geography is covered by cellular systems. There are lots of human activities in these uncovered remote areas for either gaining nature resources or outdoor experience. In this scenario, the walkie talkie is the only and vital method helping people to build connection between each other, which can ensures […]

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A multiplatform comparison of blood biomarkers in concussion research

Blood biomarkers have been an invaluable tool in concussion research. Through their use, we have improved our knowledge on the processes that occur in the brain and body following injury and have seen promise for future implementation in a clinical setting to inform injury severity, type, and treatment responses. However, many different biomarker technologies exist, […]

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Indigenous Co-Led Reclamation Research Project

This project will assist Suncor Energy Inc. (Suncor) and Fort Mckay First Nation bring a Suncor mine site back to its original ecological state and environmental functions. To best achieve this, Fort Mckay First Nation and Suncor will work together to ensure the new restored site will support the traditional practices of Fort Mckay First […]

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Modeling and Optimization of the milling process of compressor rotors

Efficiency of rotary screw air compressors is highly dependent on the errors in the shape of their rotor profile caused by manufacturing errors. The current practice to determine these errors and compensate for them in the design stage involve an extensive amount of costly trials, which will not necessarily lead to an optimum design. In […]

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Changing children’s awareness and behavior toward environmentally sustainable practices through educative programs

In order to improve the understanding and awareness for students about the management of energy efficiency and environmentally sustainable practices, this study will evaluate the effectiveness on changing children’s awareness and behavior toward those aspects through of the implementation of educative material, previously developed by Nature’s Ride, by way of scholastic workshops on primary school […]

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Adaptive Slicing for Intelligent Network Automation

The forthcoming 5G networks will be much more complex than their predecessors. They are on the verge of a generational transformation driven by the coverage, connectivity, availability, speed and latency demands of 5G. 5G networks will use network slicing to open up the network “as a service” to various third parties and their diversified applications, […]

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Characterization of floc properties in mineral tailings

Formation of aggregates and flocs from fine suspended particles is of great significance in industrial applications involving solid-liquid separation (dewatering) stages, whose objective is to clean and recycle water. Fine particles in waste suspensions are inherently difficult to remove from process water. As a result, a number of steps are taken to increase the size […]

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Immersive Visual Analytics for Large Industrial Data

We investigate new possibilities for industrial data visualization and analysis with the latest Virtual Reality and Augmented Reality (AR/VR) technologies. In this cluster research, we will apply the state-of-art visual analytics methodologies to the forestry, manufacturing and mining industries, and evaluate the potential benefits for the newly introduced technologies. The research outcome may benefit industrial […]

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