Anomaly detection and action recognition for mobile cameras

In this project we want to develop a few AI algorithms for the security and public health monitoring applications that can be implemented on a mobile camera. This camera can be either mounted on the autonomous mobile robot or on the wearable devices that security guards are equipped with. This project is aiming to solve […]

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Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft: Enhanced Verification

New generation of civil transport aircraft presents interaction between flight mechanics and structural dynamics. Innovative CLaws have been developed to address this issue. They need to be verified thoroughly by high-fidelity simulations. For a research and development project, the traditional industrial verification process is too demanding and would be too time consuming. Indeed, each high-fidelity […]

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Long-term forecasting of optical Quality of Transmission

The purpose of this project is to investigate long-term forecasting of optical quality of transmission (QoT) based on deep neural networks (DNNs). QoT refers to the properties of the optical channel such as signal-to-noise ratio (SNR), which define the level of service provided by the optical channel. DNNs are a compelling technology, but their usability […]

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Manufacturing / sourcing strategy for depth and hybrid electrodes

Neuraura Biotech Inc., (“Neuraura”) is a seed stage Calgary-based company focused on the field of neuroscience / neurotech, formed as a spin-out of the University of Calgary in 2017. Neuraura is developing a brain monitoring platform for intra-cranial pre-assessment of epilepsy surgery patients comprised of cortical, depth and (novel) hybrid electrodes, a wireless EEG hardware […]

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Development of a lignin biorefinery integrated into a Kraft pulp mill

Integrated lignin biorefineries present opportunities to increase the profitability of Kraft pulp mills through the diversification of product portfolio and improved sustainability. The purpose of this work is to develop optimized lignin biorefinery designs, which would be integrated into a Kraft pulp mill. A methodology combining process simulation, analysis and synthesis is proposed to achieve […]

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Weakly supervised representation learning for sequential and composite actions.

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

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Optimisation multi-objective de I’utilisation du gaz de synthese issu de la gazeification de la biomasse dans Ie contexte de la bioraffinerie forestiere integree et verte

La bioraffinerie forestiere integree et verte (BRFIV) est un complexe industriel integre capable de transformer de la biomasse par divers procedes de conversion en une grande variete de produits tout en eliminant I’utilisation de I’energie fossile et tout en reduisant les emissions de gaz a effet de serre par I’utilisation rationnelle de I’energie. Parmi les […]

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Process design and optimization of a bioethanol plant

Le bioraffinage forestier consiste a valoriser les principaux composes chimiques issus du bois pour la production de biocarburant, d’energie et de produits chimiques de specialite. Un concept de plus en plus etudie concernant les bioraffineries de 2eme generation est celui de bioraffinage integre. Parmi les differents concepts de bioraffinerie integree actuellement a l’etude, on peut […]

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Use of Nanocellulose for Treating Fines Dominated Oil Sand Tailings Deposits

Reclamation of oil sands fluid fine tailings (FFT) ponds is challenging due to the slow rate of natural consolidation of the suspended sediments generated during the extraction process. In order to reclaim tailings ponds, the shear strength of the sediments must first be increased to make the surface trafficable, at which point further reclamation work […]

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La gestion du climat

La mission de Muclitech est de concevoir, produire et fournir des équipements de gestion du climat se démarquant par leur ingéniosité, leur adaptabilité et leur qualité, répondant en cela aux besoins et attentes d’une clientèle nationale et internationale à la recherche de solutions innovantes. Principales activités de Muclitech Accompagner le producteur agricole dans la conception […]

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Advanced Text Clustering Algorithm for Aircraft Applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

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