While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices. This work aims to develop novel vision-based algorithms for head-mounted sensors that would solve various problems such […]

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

Actuellement, au delà de 8 millions de chats vivent dans les foyers canadiens. Plusieurs maladies induisent des pertes de sang dans l’urine et, par conséquent, celle-ci peut être un indicateur de problèmes de santé potentiellement graves telles que des infections microbiennes et diverses maladies du rein. La Dre Élodie Khenifar, vétérinaire aux études supérieures à […]

NATURE AND OBJECTIVES OF THE PROJECT Patients who suffer from addiction to opioids often experience depression. Furthermore, data concerning the use of effective medication to treat depression in patients addicted to opioids is insufficient. Desvenlafaxine is an antidepressant that has been approved in Canada to treat depression within the general population. We hereby intend to […]

L’objectif de cette étude est d’analyser les paramètres physiques et d’opération qui contrôlent la clarté à la surverse dans un décanteur dans le but d’y abaisser la concentration solide. L’étude comprend deux volets : l’un théorique qui consiste au développement d’un modèle mathématique et l’autre expérimental pour la validation et la caractérisation. Le modèle mathématique […]

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]

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, […]

Oscillatory neuronal activity can be quantified to help diagnose states of health and disease in the brain. These activities change on a fast time scale of milliseconds, which can only be captured by direct measurement of the brain’s electromagnetic activity. This is accomplished utilizing MEG and EEG technology, which can measure non-invasively these fast changes […]

Les pompes à chaleur géothermiques sont les systèmes de chauffage et de climatisation les plus efficaces actuellement disponibles pour les bâtiments, sans compter qu’ils utilisent une source d’énergie qui est très propre pour l’environnement. Ces systèmes permettent de stocker (climatisation) ou d’extraire (chauffage) de la chaleur du sous-sol à l’aide d’une thermopompe couplée à un […]