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: […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
Evaluating Skill Transfer Between Canadian and Global South Midwifery Associations

The Canadian Association of Midwives (CAM) implements global programs in Africa and the Caribbean, building midwives’ technical skills and strengthening the capacity of midwifery professional associations in our partner countries. CAM seeks two researchers first to assess current best practices in skills and knowledge transfer activities (particularly the transfer of healthcare skills) and civil society […]

Read More
Développement de réacteur électro-membranaire pour la production d’hydroxyde de lithium

La batterie lithium-ion pourrait occuper une place importante dans la transition énergétique à venir. Elle permettrait notamment d’équiper un nombre important de véhicule électrique. Cependant, son coût élevé et l’empreinte carbone importante liée à sa production diminue sa compétitivité. Afin d’améliorer ces deux aspects, la compagnie Nemaska Lithium propose une technologie novatrice pour produire de […]

Read More
La collaboration municipalité – économie sociale en Outaouais : études de cas et transfert d’apprentissages

La région de l’Outaouais possède un fort potentiel de développement dans le secteur de l’économie sociale. Les acteurs du développement en prennent de plus en plus conscience et plusieurs cas de partenariats entre des entreprises d’économie sociale (EÉS) et certaines municipalités de la région ont vu le jour afin de réaliser ce potentiel. Notre recherche […]

Read More