Zinc is extracted from sulfide ore by roasting – calcine leaching and direct pressure leaching of zinc sulfide, followed by zinc recovery from sulfate solution via electrowinning. Impurity elements in zinc sulfate solution must be lowered to levels suitable for electrowinning. The removal of many impurity elements is achieved using zinc dust cementation. However, when […]

Modern power systems are expected to provide an uninterrupted supply of power to its consumers. Faults occurring in transmission lines can lead to extended outages if they are not quickly repaired. When a transmission line is hundreds of kilometers long and passes through difficult to access terrain, locating the faulted point is very important to […]

Mining operations generate large amounts of unused geomaterials (e.g., mine rock) that are generally stored on site in mine rock storage facilities (MRSFs). When mine rock is exposed to atmospheric conditions (i.e., atmospheric oxygen as air and water) sulfide minerals oxidize and produce acid rock drainage (ARD). The acidic effluent can subsequently leach metal ions […]

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models […]

Ischemic stroke is caused by a blood clot within the blood vessels of the brain. A common technique to remove the blood clot is by using medical devices that can reach the clot through the arterial system. To properly deploy such devices, visualization of the blood vessels, clot, and therapy devices is required. This is […]

The proposal aims to develop a new technology that modifies forest residue such as logs and lumber into value-added wood products. British Columbia (BC) has an abundance of residual fiber from clear-cut logging, which includes small diameter logs, branches, and underutilized wood species such as aspen logs. The goal is to support BC’s wood industry’s […]

This project aims to develop a fuel cell-powered refrigerated trailer that can operate in different climatic conditions to provide cleaner transportation. Hydrogen will be the only source for refrigerated trailer operations. The present project has three objectives: to develop a thermal management system for extreme winter and summer conditions for operating the fuel cell under […]

In this research project, scientists aim to develop a new method for repairing damaged heart tissue caused by cardiovascular diseases (CVDs). They will use a technique called 3D bioprinting to create functional cardiac tissue using human stem cells. The researchers will develop a special ink that can be used to print the stem cells in […]

Oil and natural gas are typically found in the reservoir rock, accumulating over millions of years and can be extracted through various techniques and technologies. The oil from the reservoir can be extracted in three stages: primary, secondary and tertiary. Secondary techniques are often implemented after the production from the primary stage ceases, mainly due […]

La cigarette électronique est un dispositif proposé aux fumeurs pour remplacer la cigarette standard dans le but de réduire-éliminer les effets nocifs de la fumée de cigarette. Cette cigarette électronique est habituellement utilisée pour vapoter un liquide composé de propylène glycol, de glycérine végétale et de nicotine. Cependant, plusieurs études rapportent une combinaison de l’e-cigarette […]

Artificial 3D vision is computationally intensive. It takes an impractically long time for a robot to analyze a video frame in order to accurately estimate the locations of nearby obstacles. This project will develop new techniques for selecting only the most important regions of each video frame to analyze at each moment, so that a […]

Le projet consiste à réaliser la collecte, la préparation et l’analyse des données de l’entreprise Teknion R&B en vue de développer un modèle prédictif de la demande, en exploitant les données internes brutes. Le projet consiste aussi à explorer l’utilisation de différentes techniques d’analyse de données et d’apprentissage automatique pour automatiser le processus de traitement […]