Étude du développement d’une plateforme de test et de validation des infrastructures routières intelligentes et communicantes

Le véhicule à conduite automatisée est l’un des systèmes les plus complexes existants à ce jour. Son développement entraîne la considération de nombreux paramètres touchant à bon nombre de secteurs et nécessite ainsi le développement et le renouvellement de différentes technologies du réseau routier telles que les infrastructures routières. L’impact de l’intégration de ces systèmes possède une telle ampleur que les organismes concernés songent de plus en plus à ajouter la simulation numérique dans leurs étapes de validation des systèmes.

Design and Prototyping of a Power Logger for Power Quality Monitoring

Power characteristics of CAE equipment are regularly requested by the customers (some customers are penalized by their service providers for poor power factor, etc.), but there are presently no quick and safe means of logging power at the main power distribution and motion control cabinets. The goal of the power logger, to be designed and prototyped, is to capture hours/days of data for quick upload to laptop for analysis.

Procedural Character Animation for Heavy Equipment Training Simulation

The proposed research project will improve CM Labs’ operator training simulators with animated human characters that interact and respond to the underlying physical simulation. This will relay important dynamical cues to the trainee about the safety and correctness of the procedures. Furthermore, the developed animation controllers will allow objects to be manipulated in a realistic and plausible manner, thus improving the overall quality of the training simulation.

Evaluation of a radiomic approach based on hyperspectral retinal imaging to predict the cerebral amyloid status for the diagnosis of Alzheimer’s disease

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current methods to evaluate its presence in vivo (A? positron emission tomography imaging and quantification of A?

Towards an Intelligent and Secure 5G Ecosystem for the Transformation and Digitalization of Societies Through Artificial Intelligence

Artificial intelligence (AI) has transformed our way of perceiving and interacting with technology, by providing state-of-the-art solutions for challenging problems across the tech-spectrum. The main objective of this cluster of projects is to investigate, develop, adapt, integrate and evaluate state-of-the-art machine learning (ML) techniques, which are suitable for modeling and prediction using datasets collected for complex real-world telecommunications applications. Given the applications of interest for Ericsson Inc., we will focus on ML techniques:

Metamorphic Testing of Deep Neural Networks

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and processes design used for certification and homologation. Although these ML models can reach high accuracy within their training data distributions, recent studies have shown that they can be very brittle.

Toward Building a Technical Engineering Smart Search

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy or consistent. For example, dependencies may not be explicitly stated (or different terms may be used for the same concepts), obscure jargon and technical abbreviations may be used inconsistently.

Ciena OPn Innovation WP 1.1.6 - High Speed Low Power Transceiver

The intent of this project is to address the high-speed electronic portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution.

Système de vision de robots industriels pour manipuler des pièces sur une chaine d’assemblage industrielle

Face à la quatrième révolution industrielle et à une concurrence à l’échelle mondiale, l’industrie canadienne affronte des défis de taille pour augmenter sa productivité, améliorer la qualité de ses produits et réduire ses coûts. Imperial Manufacturing Group comme plusieurs entreprises du Nouveau-Brunswick, souhaite innover dans ses processus de fabrication pour être plus compétitif et productif tout en offrant des produits de grande qualité et d’excellentes conditions d’emploi. Le groupe Imperial souhaite développer deux systèmes de vision pour robots industriels.

Optimisation de la qualité des images et visualisation des tissus mous en Cone Beam Computed Tomography (CBCT)

L’imagerie cone beam CT (CBCT) prend une place de plus en plus importante dans l’exploration des structures osseuses du complexe dento-maxillo-facial. Cette modalité d’imagerie, moins irradiante que l’imagerie par tomodensitométrie conventionnelle (TDM), procure des images de qualité similaire, voire supérieure, à celle des images TDM. Toutefois, les rapports Signal/Bruit ne sont pas assez élevés, et les doses, bien qu’inférieures à celles en TDM, pourraient encore être diminuées.