Artificial generation of optimum whitewater waves in rivers for kayaking

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is […]

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Gestion durable des eaux pluviales en milieu urbain

L’objectif des travaux de recherche entrepris lors du séjour à l’étranger est de de mieux comprendre comment le contrôle en temps réel du réseau de drainage (contrôle intelligent des infrastructures de drainage) influence la conception des ouvrages de contrôle à la source (comme les infrastructures vertes visant à faciliter l’infiltration et l’évaporation de l’eau pluviale […]

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Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

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An Integrated Software Suite for Rail Condition Analysis using Machine Learning

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

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Soil, Water and Topography Maps as a Management Tool to Improve Profitability and Sustainability within the Potato Industry

The proposed research will explore opportunities in measuring spatial variability in soil, water and topography within potato fields. Addressing this variability by doing site specific application of inputs such as fertilizer, crop protectant and seed can help to increase environmental sustainability and economic viability in potato production. This research will help develop new applications for […]

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Développement de contrôleur de charge MPPT boost-up

CAPSolar développe un module à énergie solaire unique en son genre, conçu spécifiquement pour les véhicules électriques à basse vitesse, afin de prolonger leur autonomie ainsi que la durée de vie de leur batterie de manière à optimiser la gestion des flottes commerciales de ce type de véhicule et réduire leur empreinte écologique. Toutefois, CAPSolar […]

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Commercial Process Optimisation of Lithium Extraction and Refining from Saskatchewan Brine Deposits

With the growth in demand for electric vehicles and mobile devices powered by rechargeable lithium batteries, demand for lithium is expected to increase by over 200% in the next decade. Current lithium production comes primarily from Australia, South America and China. There are significant lithium reserves in the same Saskatchewan aquifers currently being exploited for […]

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Flame synthesis of nanomaterials: The agglomeration of nanoparticles interacting via short-/long-range potentials

The agglomeration of nanoparticles under flame conditions is numerically simulated. The focus is placed on the interaction forces between particles. These forces are suspected to play an important role on the agglomeration rate, agglomerate’s geometry, and particle size distribution. This is particularly important in the context of aggregates (chemically bound nanoparticles) or agglomerates (physically bound […]

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Challenges of integrating machine learning in rock engineering design

There is an increasing interest in applications of machine learning to solve mining and geotechnical problems; this is made easier thanks to user-friendly and open source machine learning codes and improved computational power. The benefit of incorporating machine learning in rock engineering design are apparent, including the reduction in the time required to sort and […]

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