Deep learning technology is a great tool to learn complex patterns and make prediction based on this learning. In order to get the most accurate predictions, one needs to train those neural networks on vast amount of labelled data. Labelling data is a time consuming and costly task. Using semi supervised learning, it should be […]

Within their ergonomics process, automotive manufacturers rely heavily on computer simulation technology, specifically “Jack” (Siemens PLM, Plano, TX). Advancements to “Jack” provide users the ability to create workstations, yet much time is required to produce a single simulation. This 3-year industrial collaboration will reduce the time necessary for their completion and, improve on the accuracy […]

Afin de limiter dans le sol l’accumulation et la mobilité de contaminants pouvant entraîner un risque potentiel pour la santé humaine, animale et végétale, Orica Canada Inc., un fournisseur mondial d’explosifs commerciaux, souhaiterait décontaminer un de leur terrain hébergeant auparavant une usine de production d’explosifs. L’entreprise désire s’engager résolument dans des approches vertes et durables […]

In the current project, the use of recycled polymers such as landfilled tires and polyethylene (PE) plastic is suggested to be reused for the manufacturing of composites for exterior applications such as shingle roofing, cladding and post fencing. Even though, this material has been already used for this application, but the mechanical and thermal properties […]

Recent research has confirmed the lethal effects of the COVID-19 virus on the heart, and thus the proposed research will use a cardiac sensor called seismocardiography to assess the mechanical function of the heart in patients with respiratory and cardiac pathology, as well as in normal-healthy aging patients, to assist in the understanding, diagnosis and […]

A significant fraction of wet organic waste streams within typical municipalities include food wastes (collected by many as source separated organics), and sludges or biosolids. In Canada, such wastes are mostly going to landfill or being land applied to recover some nutrient value. Anaerobic digestion (AD) for disposal of organic waste is an attractive option […]

Bridge bearings are used to support the weight of the bridge superstructure on the bridge piers. These bearings allow for the bridge to expand and contract during thermal cycles and accommodate the varying forces on the bridge throughout its life. Elastomers within the bearing are flexible enough to allow for these rotation and translation demands […]

Work improvement is critical for performance increase in business environments. It is used to identify bottlenecks and inefficiencies in the manufacturing and other production processes, and to improve work performance by removing non-value-added activities. To conduct work improvement, the Lean Manufacturing concept is often used along with the Value Stream Mapping (VSM), a tool for […]

Unmanned Arial Surveillance is rapidly gaining acceptance for various applications, such as monitoring of long power transmission lines, pipelines and mass transit systems that extend for hundreds of kilometers. Unmanned Aerial Vehicles (UAVs) such as drones provide the flexibility to reduce costs. In the case of natural disaster occurrence such as earthquake, flood or hurricane, […]

High-strength aluminum alloys (AA) are extensively used for landing gears given their low density compared to steel. All AA parts undergo special processes after machining such as shot peening and anodizing. Because the impact of the special processes on the fatigue properties of the material is not very well known, conservative security factors are used […]

Polytechnique Montréal va développer un simulateur numérique pour recréer la réalité actuelle des stations de pompage en série dont le fonctionnement est basé sur des niveaux, ajouter un contrôle virtuel basé sur le débit et opérer les stations à distance en faisant un diagnostic en temps réel, dans le but d’effectuer une économie d’électricité du […]

Le développement de réseaux profonds de haute qualité repose sur des essais et des erreurs substantielles et la fiabilité de ces réseaux n’est pas clairement comprise. Dans ce projet, Thales Recherche et Technologie propose d’établir un processus clair allant de la collecte des données aux phases d’apprentissage et de prévision afin d’évaluer, de manière rigoureuse […]