Reconnaissance et estimation de la pose de différents types de boulons sur les parois de mines souterraines par apprentissage automatique

Les boulons servant au soutènement des galeries de mines souterraines ne respectent souvent pas le patron de boulonnage défini par les ingénieurs dû à diverses raisons telle la complexité de la pose des boulons sur le terrain dans un intervalle de temps limité. Les galeries ne sont alors pas aussi renforcées qu’elles devraient l’être et […]

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Faisabilité et caractéristiques d’un Parcours innovation visant à développer les compétences en management de l’innovation des PME dans un contexte régional

Considérant que l’un des défi clé en matière de gestion de l’innovation consiste à comprendre l’écosystème dans son ensemble ainsi que les facteurs déterminants qui s’y rattachent et de réussir à développer des stratégies permettant d’en tirer profit, cet écosystème et ces facteurs environnementaux représentent donc des éléments importants à prendre en compte dans le […]

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Self-sovereign identity data of persons living with dementia at risk of getting lost: how can personal data be protected, owned by individuals, and used to keep dementia clients safe, and inform research and policy?

Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Current information describing best practices to find missing persons living with dementia however, is inconsistent and can cause police difficulty in choosing search and rescue strategies for this population. The purpose of this project is to develop and […]

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Advanced sensor control implementations for energy optimization in commercial buildings using machine learning and data visualisation applied to building automation systems

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

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Implementation of computational intelligence algorithms for the automation of business workflow at BuildMapper

KPU and BuildMapper pursued a collaborative data science project to automate and enhance BuildMapper’s core business intelligence algorithms. One algorithm will consist of a customized web crawler for the discovery and acquisition of semi-structured and unstructured construction phase information sourced from municipality websites. The other work includes the design of a SQL database for the […]

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Analysis of the effects of a high-anxiety state on running mechanics and identifying relevant psychological predictors related to levels of emotions and mechanics

Achieving optimal sport performance is complex and multidimensional. Athletes need to have high levels of physical and psychological skill. It is already commonly understood that an athlete’s emotional state can affect performance. With this project, we would like to take this one step further and investigate how an athlete’s emotions affect movement patterns, more specifically […]

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Design and Prototype Validation of a Bioabsorbable Flow Diverting Stent

An aneurysm is a balloon off a blood vessel in the brain, that could potentially bleed resulting in devastating consequences for the patient. Brain aneurysms a common, and are present in up to 7% of the general population. Traditional treatment of complex brain aneurysms involves placing a metal “flow-diverting” stent across the neck of the […]

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Classification automatisée des déchets de forages par apprentissage supervisé

La prédiction des propriétés géologiques et géotechniques en temps réel lors de forages est un enjeu crucial dans de nombreux domaines des sciences de la Terre. En effet, pour l’ingénieur pétrolier et minier, l’enjeu est de connaître les propriétés économiques en tête de forages afin d’optimiser le rendement de la récupération des ressources. En génie […]

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Coupling the liquid pool and wellbore hydraulic module of the “Prediction and Optimization Software Package” – Part 2

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

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Neural correlates of aphasia therapy after stroke

The objective of the proposed project is to better understand how the brain recovers language functions after a stroke. We want to determine what the changes are in the brain of a person who has had a stroke when they can say more words after treatment for their speaking difficulties. We want to know if […]

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