Development of a highly accurate machine learning algorithm constrained by well-log data and its application in Lithological classification

The drilling success rate is the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Petro-Lin Energy Corp. wishes that through the combination of mature hydrocarbon prediction techniques and new research results such as machine learning, the success rate of hydrocarbon […]

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Etude et optimisation des operations de mise en forme courbee de conduit

Le stagiaire devra ultiliser ses connaissances acquises dans le domaine des composites pour resoudre une problematique de l’entreprise FRE Composites (2005) inc. Celle-ci porte sur le pliage de leurs conduits de composites. La problematique et que lors pliage, il y a parfois creation de rupture du materiau et/ou de flambage local, et que le conduit […]

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Smart Work Zone Management

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by […]

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Smart Work Zone Management – Year two

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by […]

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Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Pricing and Resource Allocation in Edge Computing

The emerging edge computing (EC) paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications by bringing storage and computing facilities closer to the end users. Virtualization technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) will allow sellers and buyers to access the open […]

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Dimensionnement mécaniste empirique de chaussées

Le dimensionnement des chaussées au Canada est actuellement effectué avec des méthodes empiriques. Ces méthodes limitent la possibilité d’utiliser de nouveaux matériaux et de nouvelles technologies qui permettraient de prolonger la durée de vie des chaussées tout en limitant leur impact négatif sur l’environnement. Il existe des méthodes de dimensionnement mécaniste-empirique, comme PavementME et des […]

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Optimization of furnace residence time and loading pattern of large size ingots inside a gas-fired forging furnaces

Large size high strength steels parts used in transport and energy applications undergo several heating and cooling cycles during their manufacturing process (casting, forging, quench, tempering). Generally, before forging the parts are heated in gas-fired forging furnaces and the impact of non-uniform heating on the subsequent steps is of critical importance. A non-uniform temperature distribution […]

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