Geological controls on strainburst risk in deep mining drifts

A strainburst is a sudden violent failure of rock triggered around a tunnel boundary. They are often unpredictable and pose an extreme risk to workers in deep underground mines and tunnels. The goal of this project is to investigate the fundamental mechanisms by which these failures can occur. This knowledge will be used to better […]

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Environmental Monitoring Protocols for Phosphorus Monitoring in the Georgian Bay Biosphere Re

The research project as suggested by Georgian Bay Biosphere Reserve (UNESCO designated site) is to assess their current Nutrient Monitoring Protocols, with specific emphasis on Phosphorus Monitoring. Phosphorus plays a crucial role in water quality and ecosystem function, and therefore requires further research into methods of environmental monitoring. The aim is to identify what additional […]

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Probiotics Alleviating Depressive Symptoms (PADS)

Recent evidence shows there is extensive and direct communication between the brain and gastrointestinal tract, where nutrients are absorbed, and that intestinal microbiota have a role in healthy brain function. This study aims to look at the effects of probiotics, live bacteria that inhabit the gut and can help improve your health, on the mood, […]

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Gearbox fault detection and failure prediction

The objective of the project is to develop an automated monitoring system to accurately and reliably detect deterioration within gearboxes operating on an industrial forming line. This will involve reviewing, developing and testing one or more methodologies based on vibration signal measurement and analysis. In particular the work will focus on exploring existing potential methods, […]

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3-D UAV Magnetometry for Improved Target Characterization in Mineral Exploration

Geophysical exploration is one of the primary forms of preliminary site investigation used to characterize ore potential and the economic viability of newly discovered mineral deposits. The current platforms for collecting magnetic data include dense coverage but low resolution airborne surveys and high resolution but low coverage terrestrial surveys. The recent proliferation of Unmanned Aerial […]

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Deep learning for tooth wear monitoring of mining shovels

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]

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Validation of a Machine Vision-based System for the Recognition of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, […]

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Torsional Effects on Structural Self-Tapping Screws in Canadian Douglas Fir

With a growing concern to reduce carbon emissions, timber construction has is experiences a rebirth in Canada and abroad. The availably of engineered wood products, innovations in manufacturing, and changes in the building codes are some incentives for timber becoming a materials choice. Connecting these large timber members is done efficiently with the help of […]

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Development of a numerical wave uprush prediction tool for the Cataraqui Region Conservation Authority Lake Ontario and St. Lawrence River shoreline – Phase 2

Wave uprush and the potential for flooding are natural hazards that must be determined by the Cataraqui Region Conservation Authority (CRCA) prior to the approval of a near-shore development. The purpose of calculating wave uprush is to recommend building sites that are outside of the wave uprush area (and floodplain in general) to land owners […]

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