Improving the bending stiffness of multi-ply folding boxboard with maple HYP

BCTMP (Bleached chemi-thermo-mechanical pulp) or HYP (high-yield pulp) is an important sector in the Canadian market pulp business, and most of them has been exported to Europe and Asia and over half of it is used as middle-ply furnish in Folding Boxboard (FBB). FBB requires high bending stiffness for crush resistance, z-directional strength for preventing […]

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Directing Development of Next-Generation Spectrally-Controlled Plant Growth

Plants are an essential part of our day-to-day lives. They provide us oxygen to breathe through photosynthesis, food and drugs for human health and well-being in addition to many materials and products for everyday use across Canadian society. For plants, light is a central to their growth, development and survival, rendering our understanding of how […]

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L’effet de l’orniérage sur la productivité forestière

L’importance de la foresterie dans l’économie nécessite de réaliser des études permettant de comprendre et résoudre les impacts que cela produit, pouvant affecter la durabilité des zones productrices. L’orniérage est l’un de ces impacts qui sont connus mais pas toujours contrôlés. Certaines zones connaissent des disparités importantes pouvant conduire à une modification du milieu à […]

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Développement d’outils pour améliorer la fabrication de nanocomposites à base de thermoplastiques et de filaments de cellulose

Les filaments de cellulose peuvent facilement être extraits de produits naturels. Leur addition à des polymères peut entrainer une amélioration des propriétés mécaniques du matériau. Cependant, ces propriétés mécaniques intéressantes dépendent de l’état de dispersion des CF dans la matrice polymère et d’une adhésion interfaciale suffisante entre les CF et le polymère. Pour la plupart […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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Stateful Intrusion Detection using Algebraic State-Transition Diagrams

Increasingly, cyber threats evolve targeting companies, industries and governments. As defense systems are strengthening, threat actors developed new tactics, strategies and techniques to break down security perimeters. Generally, the security of the perimeters are enforced by multiples intrusion prevention and detection tools responsible to provide proactive insights, real-time insights and operational insights for the detection, […]

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Comprehensive study of VCSEL-MMF coupling techniques

Vertical cavity surface emitting lasers (VCSELs) are in high demand in short-reach optical interconnects. Reflex Photonics is a leading company in developing VCSEL-based optical transceivers for the harsh environments. So far, the speeds up to 12.5 Gb/s for a reach of 100 m have been achieved. One of the key bottleneck in developing rugged transceivers […]

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RLCapture: A deep reinforcement learning based control strategy forswitching between motion capture inspired controllers.

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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LAFORGE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

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Méthodologie d’identification des facteurs et schémas responsables de la baisse de productivité

À l’ère de ‘l’industrie 4.0’ qui prône le numérique et la connectivité, la gestion et l’exploitation des connaissances fournissent un avantage significatif dans un contexte manufacturier toujours plus concurrentiel. Cela permet le transfert de connaissances, la formation, la résolution de problèmes complexes ainsi que la prédiction de phénomènes. Les données de production peuvent provenir de […]

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