Using Internet of Things (IOT) waste bin sensors to analyze the effectiveness of dynamic routing for waste collection vehicles

This research project aims to develop data analytic technologies to achieve the smart waste and recycling management services. In the smart waste management, the information about container fill levels is captured by the sensors through the Internet of Things (IoT) in real time. A more efficient dynamic routing strategy will be developed through this research […]

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Automatic Approach to Design Efficient Deep Neural Networks

Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

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Advanced FEA of Trawl Gear Interaction with Subsea Pipelines

This project will provide guidelines for the design of pipeline systems for deep water locations where fishing activities occur. These pipelines may be subject to loads from trawls and associated trawling equipment. While similar interaction between trawling gear and subsea pipelines has been studied for shallow water pipeline installations, it has not been studied for […]

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Helmet testing and impact modeling: an approach to better understand the problematic of concussion in short track speed skating

The sport of short track speed skating is an extremely fast paced sport, in which multiple skaters, reaching speeds upwards of 50 km/h, jockey for position on a narrow track. Although skaters wear protective equipment and helmets, concussions continue to plague the health of athletes. Currently, there are no statistics on the ratesand prevalence of […]

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New Methods for Automated Assessment GPR in Potash Mining

This project attempts to improve on a Ground Penetrating Radar (GPR) based assessment system that is used to evaluate the thickness of the salt layer in the roof of Potash mining rooms to enhance mine safety. The goal is to improve the operation of the algorithm by studying the GPR signatures of known geological structures […]

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Plant level implementation of a model for real time tracking of composition changes to steel, slag and inclusions during ladle processing

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions. During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, […]

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Automating Configuration Management and Deployment in Large-scale Data Centers Augmented with Edge Data Centers

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts […]

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Orebody Heterogeneity Assessment for Sensor Based Sorting

Teck Resources Limited is searching for a method to characterize and quantify the heterogeneity of ore based on numerous parameters. Naturally, when characterizing an ore body’s heterogeneity, the variability in the deposit can contribute towards the sortability of the deposit. The main objective of this research is to investigate a method to quantify the sortability […]

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Cloud based Machine learning algorithms on archived satellite/raster Imagery datasets

The proposed research work will be a breakthrough in the emerging data engineering field, especially in satellite data management, Machine learning algorithms, quality and quantitative analytics. The machine learning platform quickly scans vast archives of satellite images and delivers usable insights to decision makers. After processing of raster images, the data will be readily available […]

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Use of pulp mill residues as construction and geotechnical materials

Heat and electricity generation from biomass combustion in power boilers and co-generation plants produces large quantities of ash residues in British Columbia (BC) each year. In 2013, approximately two thirds of the produced ash were landfilled in Canada and only the remaining one third beneficially utilized. On the other hand, high-quality construction materials are rare […]

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