This research project seeks to improve the process which is used to recover fine phosphorous particles from mine tailings. Phosphorus based fertilizers are important for plant growth and essential to large-scale, high-efficiency farming methods. However, the processing method used to obtain phosphate from phosphate-bearing ore is not very efficient. Upward of 13 % of the […]

The role of this internship is to assist in reaching the SSHRC goal for the Dreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use, creating as full a historical, cultural, and economic record as possible, as well as strong land use management/consultation, water and asset management, and public health systems. This […]

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, […]

The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both […]

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) […]

The proposed research project will conduct feasibility studies on the purification and conditioning of industrial, hemicellulose derived C5 sugars from a number of potentially commercial liquor fractions, derived from lignocellulosic biomass. In the first two Mitacs projects, enzyme hydrolysis showed considerable benefits over traditional acid hydrolysis for S2G’s bio-glycol production. However, relatively high enzyme loadings […]

The great number and variety of factors influencing the survival of migrating salmon smolts in the early marine environment makes it difficult to understand the causes of recent declines in smolt survival and salmon population productivity. We will combine novel methodologies (biotelemetry and biomarkers) simultaneously to examine a variety of factors influencing the migratory behaviour […]

Peanut is one of the leading foods that can cause food allergies. An extremely low amount of peanut protein is sufficient to cause mild reactions in people who are sensitive to peanut. Over 90% of allergic reaction cases derived from peanut digestion are related to Ara h 1, a glycoprotein that comprises about 15% of […]

Nucap developed a new bonding technology (GRIP Metal™) that has been primarily used to connect backing plates with braking pads used in automotive disk braking systems. Nucap wishes to explore the technology towards different applications. In this proposal, fibre metal laminates used in the aerospace industry, in particular, GLARE (glass laminate aluminum reinforced epoxy) will […]

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

Pesticide detection in water has become a high priority worldwide, from protecting the population from environmental contamination due to agricultural pesticides, and bio-threats from terrorist activities. An exhaustive characterization of water pollutants requires laboratory-based analyses which are inherently slow and expensive. Thus, regarding the above mentioned pesticide contaminations, developing a real-time and in-situ detection technique […]

New emerging Virtual Reality (VR) technologies and mobile devices are changing the way that we are interacting with computing technology. The partner organization has a multimedia product that is used to train technicians to perform various maintenance tasks or introduce them to the interconnected components of a machine. The goal of this project is to […]