Continuous fibre (CF) aerospace preforms exhibiting excellent mechanical performance possess low formability characteristics and are confined to simple shell-like geometries with minimal curvatures. On the other hand, short fibre preforms such as randomly oriented strands (ROS) offer high formability but exhibit low mechanical performance. The manufacturing of composites involves time and huge costs. The overall […]

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply […]

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may […]

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

Cloud hosting environments include large scale distributed storage systems. With the advent of Big Data, especially newer biomedical and biometrics data, collected from wearable monitoring devices, there is a high need for Cloud-based solutions for large scale storage and high bandwidth on-the-fly data analysis for such data. A key problem for IT companies that collect […]

Unmanned Aerial Vehicles (UAVs) became increasingly more popular since the global industry realized the unlimited possible applications assignable to these vehicles for reasonable costs. In this way, the company ARA Robotique designs flight controllers for multi-rotors UAVs that need accurate positions, velocities and attitude (roll, pitch, yaw) knowledge. This project focuses on designing a low-cost […]

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. […]

With the increased capabilities of technology, data plays an increasingly important role in decision-making (Mandinach & Gummer, 2013; McAfee & Brynjolfsson, 2012) and small and medium-sized enterprises (SME) now require employees to use data to inform practice (Earl & Seashore Louis, 2013; Lohr, 2012). Furthermore, harnessing big data and predictive analytics has transformed many industries, […]

L’interférométrie radar est une technique innovante et opérationnelle pour l’extraction des données topographiques (InSAR) et la surveillance des mouvements du sol (DInSAR) à partir des images radar. Cette technique utilise l’information sur le déphasage des signaux radar provenant du même objet au sol observé selon des positions différentes du SAR (InSAR) ou de la même […]

Non-metallic technologies, including composite materials, have the potential to improve aircraft engines performances and fuel efficiency, and therefore gained a lot of popularity in the aerospace sector in the past decades. Therefore, the overall objective of this research project is to develop an understanding of all available non-metallic technologies, their maturity and value proposition when […]

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

Hummingbird Drones provides aerial fire monitoring services to the BC Wildfire Service through the use of Unmanned Aerial Vehicles (UAVs). They conduct night-time flights over wildfire zones to locate and map hotspots for ground crews. Their current operations suffer from two bottlenecks: a heavy camera stabilizer which decreases flight time, and long post-processing time after […]