Improving Resource Estimation and Reconciliation with Machine Learning

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]

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Data Mining and Statistical Analysis of Hydraulic Fracture Performance in the Eagle Ford Formation

As the global supply of oil and gas from conventional reservoirs (i.e., porous rock formations) continues to diminish, it becomes increasingly important to produce these fluids from unconventional (“tight”) reservoirs. Hydraulic fracturing is generally required in order to achieve sufficient production rates from these tight reservoirs. Key questions to be addressed in hydraulic fracture design […]

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Prise en compte des savoirs autochtones dans l’aménagement durable des paysages boréaux (partie 2)

L’aménagement du territoire en zone boréale pose des défis environnementaux importants. Le maintien de la conservation d’écosystèmes sains et résilients dans un contexte d’aménagement de la forêt pour des fins commerciales requiert un effort de coordination entre les parties-prenantes de la gestion du territoire. Les compagnies forestières qui planifient l’aménagement du territoire, les communautés autochtones, […]

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Simulation-Enabled Intelligent Decision Support for Planning Precast Concrete Production Operations

Advances in engineering technology and requirements for sustainable development are main drivers for changes and innovations in the current construction industry. The paradigm shift to precast construction moves conventional field construction efforts into the controlled environment of an offsite manufacturing facility. These precast concrete products lend a significant advantage in execution of fast-paced construction projects, […]

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Analytics on 5G – Topology through PM correlation

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network […]

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Arsenic release from arsenic-bearing minerals

When waste rocks generated by mining activities are exposed to the air and water, various toxic elements may be released to receiving waters and soils. Arsenic (As) is known as one of the most toxic pollutants which can cause damage to the environment and human health. To implement effective source control, it is essential to […]

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Effets du temps de sevrage sur la santé, le comportement et le développement du rumen et son microbiote chez les chevreaux de race alpine

Même si une forte croissance de la production laitière caprine au Canada est observée au cours des 20 dernières années, la productivité des fermes laitières caprines dépend de plusieurs facteurs liés à la génétique et à la régie de troupeau. La nutrition des chevrettes laitières et des méthodes d’élevage des chevrettes ont été identifiées comme […]

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Stress-Activated MicroRNAs by Biomechanical Assay for Diagnosing and Prognosing Adolescent Idiopathic Scoliosis

Cette étude vise à développer et valider un panel de petites molécules circulantes d’acide ribonucléique (ARN) non codantes appelées microARN (miRNAs) qui peuvent être utilisées pour prédire le risque de développer une scoliose sévère chez les enfants symptomatiques le plus tôt possible. Cela permettrait, une fois commercialisé, d’identifier les enfants à risque de développer une […]

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Machining effects on part integrity and life of aircraft materials

Design, manufacturing and maintenance of aerospace products are cornerstones of the economy and social development of Quebec and Canada. In 2009, more than 78 000 Canadian jobs were related to the aerospace industry from which 45 % are in Quebec. These high technology jobs contribute to the quality of life and the economic growth of […]

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Privacy in Machine Learning Systems with Data/Model Sharing via Information Theoretic Analysis

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

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Effect of Convective vs. Freeze Drying on the Hemp Bioactive Compounds

Industrial hemp (Cannabis sativa L.) and its fibres being durable are used in fabrics, sail making and papermaking. Its seed is a rich source of polyunsaturated fatty acids (omega-3, 6) and its oil is used for cooking and for medicinal purposes. Cannabis contains cannabinoids, of which, ?9-tetrahydrocannabinol (THC) and cannabidiol (CBD) have been identified as […]

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