Improving hygrothermal modeling as design tools using field measurements to achieve durable and energy efficient wood structures

Computer-based simulation software, called hygrothermal modeling has become increasingly popular and useful to predict and evaluate heat, air, vapour, and water-related performance of buildings. This research project aims to improve such modelling for wood construction through validation using specifically measured property data and field/lab performance data. The goal is to make modelling a more reliable […]

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Étude de faisabilité d’une solution « Blockchain » pour la sécurité et la ges-tion de l’information dans l’industrie du jeu

Axes Network Solutions Inc. est une entreprise québécoise offrant des services de gestion des informations en infonuagique qui octroie des licences d’intelligence et d’applications exploitables pour l’industrie mondiale du divertissement et des loisirs. Dans un souci de se moderniser et d’offrir des solutions plus variées et plus conviviales à ses membres clients, Axes souhaite explorer […]

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Deep learning-based Image Style Transfer with Generative Adversarial Network

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

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Innovative Business Strategies: Business development and marketing of drone technology in international development contexts and specialized professional development programs in domestic postsecondary environments

The internship will focus on two case studies in the area of business and marketing research, aiming to integrate academic level rigour with practical relevance. First, the intern will consider how drone-based research tools can be managed and marketed in an international development context that engages local networks of drone users whilst maintaining technological standards […]

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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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