Des représentations digitales humaines (RDH) 3D et manipulables dans l’environnement natif d’un outil de CAO, comme CATIA, ont l’avantage de permettre la réalisation de simulation dynamique. De plus, aujourd’hui les avancées technologiques constituent une piste prometteuse pour dimensionner le produit très tôt dans le processus et pour explorer à moindre cout différentes avenues conceptuelles. Si […]

Providing personalized content can be of great value to both users and vendors. However, effective personalization hinges on collecting large amounts of personal data about users. Give the exponential growth in online activities in social networking sites; they can be a great platform to gather and analyze such information. In spite of the considerable number […]

The proposed research will develop a virtualized cloud-based multi-tenant environment tor testing and developing software defined networking products on a national scale. Similar centers are being built in other jurisdictions (Japan, Europe) but this is the first such initiative in Canada. We are partnering with CENGN, which is a consortium of industry partners who wish […]

To fully exploit the information in the SportVU dataset, the analytic team at the Raptors wanted to move beyond summary statistics and utilize state-of-the-art machine learning algorithms for dealing with dataset of this magnitude. Specifically, one task of interest is “shot outcome prediction”. Given all the information up to the release of shot, can we […]

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé. Ce système automatisé sera constitué d’un système de capture d’images par caméra […]

In order to develop good physical skills, people need feedback on the performance of those skills. Analysis based on accurate observation is a key tool for improving future performance. Performance analysis is about creating a valid and reliable record of performance by means of systematic observations that can be analyzed with a view to facilitating […]

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

The research project aims to develop a systematic methodology to link safety policy in terms of security and privacy considerations to the realization of Bring Your Own Device (BYOD), which encourages users to use their own mobile devices, such as smart phones and tablet PCs, to access various services to support a workflow in a […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

InSAR is a technique used by radar-based remote sensing for applications such as tracking spatial displacement/deformation of an object on earth, e.g., building and a bridge, over time. The object analysis part of InSAR processing belongs to an offline processing chain that operates on very high resolution images consisting of huge volume of data. The […]

Cities are the engines of creativity, wealth creation and economic growth in our society. Despite the increasing importance of cities in modern world, our ability to understand them scientifically and to manage them well in practice is limited. The greatest difficulties and challenges to any scientific approach to cities have resulted from their many interdependent […]