Characterization and Pelletization of Western Red Cedar Residue

The key objective of this research is to test the Refuse-Derived Fuel supplied by ICC and investigate parameters involved in making durable pellets from these residues. This will include conducting a series of pelletization tests with different mixture recipe, pre-conditioning of material as well as adding binders. The produced pellets will then be tested for […]

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Self-Adaptive Pattern Recognition with Deep Neural Networks

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project […]

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WP 2.1.2: Advanced, Intelligent, Analytics Driven Apps for Software Defined and Functionally Virtualized Networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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Analyse, fabrication et validation d’une pièce d’aube de turbine hydraulique faite de matériaux innovants

L’hydroélectricité est une source renouvelable d’énergie qui compte pour 16% de de l’énergie produite mondialement. Au Canada, cette proportion grimpe à 60% représentant une capacité de 74 GW. Les besoins en énergie sont prévus augmenter d’ici 2025 notamment dû à : 1. Une volonté croissante de diminuer les émissions de gaz à effet de serre […]

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Evaluate effect of chemical compounds on plants using statistics and machine learning

To understand the effects of various substances on plants in terms of yield and disease severity (phytopathology), we need to evaluate both statistical significance and biological relevance when conducting biological experiments. Biological relevance refers to the nature and size of biological changes or differences seen in studies that would be considered relevant, while Statistically significance […]

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The effects of a step-wise exercise regime and dietary soluble fiber intake on behaviour and welfare, gut health, and metabolism in mid-distance training sled dogs

Regular exercise has also been associated with positive effects on the health and mood of dogs, although extreme exertion, such as that experienced by sporting dogs, can lead to activity-related injuries and a reduction in welfare. Sporting dogs commonly experience gastrointestinal upset, but trainers tend to not recognize the importance of dietary fiber to support […]

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Développement d’une méthodologie d’amélioration des processus, baséesur la démarche Six Sigma, mais limitant les analyses statistiques formelles par des analysesgraphiques («Six Sigma Lite»)

Le projet de recherche s’inscrit dans le contexte du génie industriel. C’est-à-dire dans les techniques d’amélioration de processus. Une démarche très populaire propose de suivre les étapes suivantes pour y arriver : Définir le problème, le quantifier, l’analyser pour finalement améliorer le processus et le contrôler. Des outils statistiques permettent de réaliser ces cinq phases […]

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Technology Advancement in existing AED

In Canada, approximately 40,000 out of hospital cardiac arrests (OHCAs) occur annually. Survival rates are under 15%, and the only treatment is immediate use of an Automated External Defibrillator (AED), coupled with CPR. This project will focus on finding solutions to identified problems associated with locating and using an AED. Some of these solutions will […]

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Establishment of gut microbiota and impact on host immune function with early-probiotic supplementation in neonate calves

The neonatal and pre-weaned periods are the most challenging in dairy production, resulting in the highest mortality and morbidity rates, with diarrhea proving the most common cause of calf health problems. In order to treat and control this diarrhea, producers often rely on antibiotic therapy. An alternative is to provide living microorganisms (probiotics) that minimize […]

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Software radios for highly integrated system architecture

The project aims to establish new design methods and digital signal processing techniques allowing robust and efficient universal navigation and communication equipment in the fields of aeronautics and aerospace. New avionic standards are under study and strong arguments exist for the adoption of software defined radios at this point of time. The project anticipates the […]

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Bipolar Membranes for Electrochemical Technologies

The electrochemical splitting of water into hydrogen and oxygen gas is a technology of growing importance in the clean energy sector. Emerging technologies are employing membranes to provide physical separation of the cathode and anode compartments, thereby separating the product gases, while allowing ions to flow between the compartments to maintain the electrochemical reactions taking […]

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3D Printable conductive nanocomposite sensors for CRFID moisture, strain, and temperature sensing in composite pipes

Transportation of oil and gas through pipeline networks remain a crucial infrastructure for sustainable economic growth in Canada. Pipeline wear and damage will remain a major concern as it can lead to catastrophic failures causing environmental and economic damage if undetected. For easier detection of damage on a large network of pipelines, an array of […]

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