Characterization of Boiler Fly Ash to Match Producers with Beneficial End Uses

Many mills are currently using biomass (hog fuel, bark, sawdust, demolition waste etc.) for heat and electricity generation due to its greenhouse gas neutral status. The combustion of such feedstock generates ash residues the properties of which vary widely with the properties of feedstock and the boiler operating conditions. As such, majority of the ash […]

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Development of Drug-eluting Bio-absorbable Scaffolds for Body Piercing Applications

Nearly 20% of all piercings lead to local infection, and therefore, it is imperative to develop alternative and commercially-viable methods of piercing aftercare to prevent infection. The general objective of the proposed project is to optimize the design of drug-eluting bio-absorbable scaffolds for human and animal tissue piercing applications with a focus on scaffold degradation […]

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Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

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THE EFFECTS OF RESP-AID ON ASTHMA

Asthma is one of the serious forms of respiratory diseases causing economic losses and high mortality in the world. RESP – AID is an innovative formula developed by NHV Natural Pet Products to support respiratory disorders and bronchial infections. It is composed of 6 commonly used herbs: Coltsfoot (Tussilago farfar), Marshamallow (Althaea officilanes), Plantain (Pantago […]

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3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

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Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

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Practical Multi-Interface Network Access for Mobile Devices

The goal of this project is to improve and study algorithms and methods for better network connectivity in mobile environment, when multiple, different networks are available. The goals include studying techniques for combining capabilities of independent network links, improve the methods of migrating existing connections between different physical networks, as well as studying the impact […]

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Bench Marking of FEA Software Packages in 2D and 3D

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes […]

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Anomaly detection and simulation for unlabeled sensor data

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to […]

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Extraction et analyse des objectifs de sollicitation client

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithmes de traitement automatique du langage, nous pouvons extraire les […]

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Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes […]

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