To streamline knowledge acquisition, indexing, dissemination, and synthesis—especially important to the future of libraries—a fundamental understanding of knowledge storage and communication is required. In a textual body of knowledge, relevant qualities include layout and structure; headings, chapters, sections, and paragraphs; figures, tables, lists, captions, and illustrations; authorship information and references; and, most importantly, the relationship […]

Heavy-duty fuel cell vehicles as a clean energy transportation solution have attracted much interest over the last few years. However, they still suffer from various degradation and faults and a relatively short lifetime, hindering their wider market adoption. Better diagnostics tools are highly needed to obtain information from the fuel cell stacks of the industrial […]

Structural health monitoring (SHM) of airplanes requires very compact and low-power stain sensors. Therefore, IPR wants to investigate how a commercial micro-fabrication process can be used to implement its MEMS sensor design, particularly using the electro-conductive properties of doped silicon vs. metal-coated crystalline silicon or polysilicon. The project will consist 0f e conceptual study of […]

The current aesthetic of urban greenspaces as uniform lawns creates a variety of environmental and social-medical issues. Highly managed lawns not only reduce urban biodiversity and contribute to greenhouse gas emission but are also susceptible to invasions from nuisance pests and highly allergenic weeds. This project builds on existing research in the City of Trois-Rivières […]

Hydrogen Fuel Cell technology is actively pursued as a viable, sustainable and long-term solution for resolving transportation-related emission issues on a global scale. While Canada has a strong presence in this technology space in various parts of the world such as Europe, the USA, and China, hydrogen technology integration at the transit level is still […]

Global climate change represents a grand challenge for society, and the risk for Canada’s ski tourism economy is no exception. Climate change impacts on ski tourism’s profitability will have far-reaching consequences for sport, employment, culture, real estate, and community economic development in Canada’s tourism-dependent rural and mountain communities, yet there is currently no analysis on […]

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

Utilisé en sécurité de l’information, le tableau de bord de gestion (TBG) est un outil visuel permettant de faire le suivi de la performance en affichant graphiquement un ensemble de métriques, représentant notamment l’état des risques et des incidents. L’objectif principal de cette recherche est de créer un modèle de représentation visuelle de métriques de […]

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal […]

Locating and identifying multiple individuals in a scene are challenging tasks in real-time video surveillance applications. Although tracking allows to locate a person over time, automatically tracking multiple targets under real-world conditions is a challenging problem due to changes in appearance, occlusions and complex backgrounds. Target models are typically adapted for robust discriminative tracking, although […]

Many young adults are affected by tooth sensitivity stimulated by eating or drinking something hot, cold, sweet or acidic, which impacts their life quality. Tooth sensitivity can start when the softer, inner part of the tooth called dentin becomes exposed. The dentin contains a large number of parallel microtubules that run from the outside of […]