L’objectif principal du projet de recherche est de développer une nouvelle technique économique de fabrication de pièces en matériaux composites à haute performance, pour le domaine aeronautique et operationnel chez Marquez. L’integration des nouvelles techniques vise I’amelioration de la robustesse du procede, en minimisant les temps de cycle, les pieces rejets et en limitant la […]

For the realization of amplifiers with ultra-high control bandwidth, typically the series connection of high-frequency PWM H-bridges is considered in order to simultaneously achieve multi-level voltages and high effective switching frequency, which enables the required high cut-off frequency of the output filter and, thus, facilitates high control bandwidth. However, the approach is of high complexity, […]

Recent progress on word and sentence embeddings has enabled efficient representation and learning of complex high dimensional probability distributions over rich text data. The proposed research aims at addressing some of the fundamental questions in this field: What are the natural mathematical structures on that latent spaces? How to find a meaningful basis? What is […]

Antimony is classified as a strategic element due to its high relevance for many military and technical applications, e.g. its use in fire suppressants and lead-acid batteries. Canada has currently no operational mine to produce antimony and about 90% of the world production originates from China and east Asia. This project will develop a geophysical […]

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then […]

Security is a huge concern in our digital society, especially with distributed systems like the Internet. Services deployed on such systems are frequently subject to malicious attacks; thus, verifying and enforcing its security is essential. One way of doing this is by using models like finite state automata. Past literature has explored how a system […]

Actuellement, l’avènement de l’Industrie 4.0 constitue un incontournable pour les entreprises. L’arrimage entre le monde cyberphysique et la pensée stratégique comportent son lot d’opportunités et de défis. De ce fait, ceux-ci ont un impact majeur sur la stratégie organisationnelle touchant l’ensemble des choix et mesures nécessaire à la discipline et à l’atteinte des objectifs. À […]

IMAX is a Canadian-born invention that has had little scholarly investigation despite its continued commercial success. The importance of this research project stems from the lack of scholarly research about the beginnings of IMAX as a Canadian-born invention and its place within the history media technology. In celebration of IMAX’s 50th anniversary, The Public Access […]

New Brunswick Power Corporation (NB power) is required to file a 10 Year Financial Plan to the EUB every year as part of the general rate application; and this plan must include a scenario analysis in order to demonstrate the potential effect on forecasted financial outcomes of reasonable variations in terms of some key factors/variables. […]

The layout drawing is the popular format in the Oil & Gas industry to illustrate the design of layouts and the internal equipment. The complex drawings contain primary shapes, indicative lines and textual annotations. So far the expert knowledge is still required to understand, modify and create such documents. The proposed project is to develop […]

La fabrication de pièces aérospatiales présente plusieurs défis importants, dont ceux du délai et du coût de réalisation. Dans le contexte économique d’aujourd’hui, `bien faire du premier coup` est impératif pour maintenir la compétitivité des entreprises. La recherche de l’efficience est alimentée par diverses opportunités provenant de technologies émergentes telles que l’assemblage par métrologie 3D, […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]