Augmented Reality (AR) is the combination of virtual images with real objects in order to improve perception. It is a rapidly growing field and has many applications in medicine. For this research project we would like to apply AR to the surgical site during a simulated operation in order to provide additional information and improve […]

Amélioration des performances et du processus de mise-au-point d’agents virtuels (AV) selon une approche hybride combinant du traitement automatique de la langue ou TAL (natural language processing), de l’apprentissage statistique (machine learning) et du génie cognitif à base de règles (les outils et API de Coginov). Notamment, nous expérimenterons l’utilisation de synonymes en contexte et […]

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing […]

The demand for renewable and clean energy alternatives is steadily increasing due to the cost and environmental concerns of traditional fossil-based fuels. Wood pellet fuel is one such renewable alternate energy source, manufactured by Pacific Bioenergy, Prince George, BC. These wood pellets are transported via rail and subsequently loaded onto vessels for trans-ocean shipment. The […]

This project will develop a new mechanism for grouping objects in a dynamic environment, where new objects are regularly added with limited or incomplete information. Furthermore, the information about the existing and new objects increases over time. This new grouping mechanism will be called dynamic clustering of temporally incremental patterns. The proposal will be tested […]

The Resident Assessment Instrument Minimum Data Set (RAI-MDS) is used by health authorities for collecting information about individuals in continuing care facilities. Collected quarterly, RAI-MDS records contain more than 500 data elements, including cognition, psychosocial well-being, health conditions, communication, physical function, and activity patterns. Because of this it has great potential for providing an incomparable […]

The three-dimensional (3D) structure of the genome is known to play an important role in the regulatory activities of a cell. The genome itself may be vast (~3.2 billion nucleotides), but only a small fraction (approximately 1.5%) encodes for proteins. In the last decade, non-coding regions of the genome have been shown to produce molecules […]

Urban design and development is an iterative process that involves community engagement and multiple feedback cycles. Advances in internet technologies and web mapping technologies has made it possible to display design plans on websites and to collect feedback on specific locations or aspects of the provided design. Using web mapping applications to feedback from the […]

Ce projet est un partenariat entre des chercheurs et stagiaires du LICEF-TÉLUQ et la Fondation CAA-Québec. Trois stagiaires participent au projet, dont le but est d’améliorer le bilan routier, diminuer les accidents, et favoriser des comportements plus sécuritaires chez les conducteurs âgés, les piétons et les cyclistes. Les stagiaires testeront et évalueront des technologies de […]

Recent technological advancements led to the emergence of technology-enabled collaborative environments in which students work together on different activities. In such settings, the first step is to determine the participants who are present and take part in the collaborative activities. We are interested in the attendance-taking process itself as a collaborative activity, and plan to […]

Mentorina is launching an intelligent learning system that helps teachers observe, measure, and improve each student’s individual performance in the classroom. Teachers can design individualized assignments or exams and through cognitive and metacognitive assessments, they can accurately measure how quickly students are learning the material and can determine each student’s level of comprehension. Through an […]

Along with industry partners, including NGrain, Convergent Manufacturing and Boeing, we are proposing to develop state-of-the-art visualization and interactive techniques for exploring sensor and manufacturing component data, in-situ. Through a combination of user research and user-centered design techniques, this project proposes the development of a technical demonstrator of a mobile manufacturing job aid as the […]