Two-Stage Anaerobic Digestion of Source-Separated Organics and Municipal Sludges to Produce Renewable Bioenergy

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 […]

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Temperature dependent performance of high load multirotational bridge bearings

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 […]

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Work Improvement and Data Analytics for Industrial Steel Fabrication

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 […]

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Hardware and Software Integration for Automated Drone Surveillance

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, […]

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Développement et prise en charge d’un algorithme de synchronisation des pompes de plusieurs stations de pompage d’eaux usées

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 […]

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Thales – Robustesse aux données débalancées

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 […]

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Portable Low-cost Fast Impedance-based Point-of-care Diagnostic Device for COVID-19

COVID-19 has significantly impacted the world. Nucleic acid, CT, and fever tests are standard tests, but they suffer from various limitations. For instance, CT requires large & expensive equipment. The nucleic acid test is not portable and takes at least two days. As sensor technologies get more advanced, a portable, low-cost and fast diagnosis COVID-19 […]

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Développement d’un imageur ultra-rapide pour déterminer la minéralogie dans des carottes de forages. Partie II «Scanning Automated Mineralogy (SAM)»

Ce projet porte sur le développement d’un instrument de spectroscopie par laser LIBS pour réaliser la numérisation des avoirs miniers par la génération de Big Data de grande sélectivité. Cette technologie permet de rendre universel l’opération de numérisation des avoirs miniers en combinant plusieurs capteurs pour réaliser simultanément la minéralogie automatisé et l’analyse chimique multi-élémentaire. […]

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Simple and versatile mid-infrared laser seed platform

This project intends to develop a new platform for lasers operating in the mid-infrared, an invisible portion of the optical spectrum where molecules have unique signatures that allow identifying what is present in which quantity in a gas sample or in a chemical sample. These lasers can be used in tele detection for instance to […]

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A Deep Learning Method for Detecting Defaults on Assembly Line

With the advancement of methods based on artificial-intelligence, computer vision and deep learning, activities concerning progress monitoring, safety management, and quality control can be automated that leads to saving in time and cost. With the collaboration with partner industry, computer-vision approaches are going to be employed in order to find an improved method that utilizes […]

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