Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 915 projets complétés

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Projets par catégorie

Real-time, high-availability digital-twin models for supervisory control and energy demand optimization of intelligent buildings

The overall goal of this project is to approach the concept of “smart buildings” from a novel perspective by creating a new building automation and controls technology that unifies smart buildings with data centres, with a focus on interaction between digital models and human operators. Data centres pose unique agility, reliability, security, and efficiency requirements which represent an as-yet unexplored perspective for building automation. Data centres have a wide array of different types of equipment installed to handle electrical power, cooling, security systems, fire alarms, and computer networking. However, these systems typically operate independently and do not share information with each other. We propose introducing a decentralized control system which is able to automatically gather, analyze and act on live data to allow a building, its operators, and its occupants to adapt to changing situations. If successful, this will reduce the total cost of ownership and increase reliability, utility, security, and energy efficiency of building control syste

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Superviseur du corps professoral :

Chi-fu Wu;Mark Wlodyka

Étudiant :

Partenaire :

HYNES GROUP

Discipline :

Engineering

Secteur :

Real estate and rental and leasing

Université :

Capilano University

Programme :

Accelerate

Business Analyst (BA) Impact on Business Agility and Data Analytics

Digital Transformation of business, combined with globalization through outsourcing, has create an increasingly fast-paced, competitive environment for most businesses. Additionally, new disruptive technologies such as Artificial Intelligence and Blockchain are just beginning to open new opportunities for the next wave of Digital Transformation. Agile concepts have accepted in information systems (IS) development for more than two decades. Today, many organizations dedicate agile teams to create new digital products for rapid implementation, while many business units have begun to adopt an agile approach to accelerate how the business unit operates.
In parallel with agile business, the rise of data analytics (sometimes called Big Data) has been apparent for over a decade. 80% of executives believe their businesses will be disrupted by digital technology soon, about two years, and they believe that data and analytics will be the key to their corporate survival. This research will explore how business analysis can contribute to enterprise agility and data driven decisions.

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Superviseur du corps professoral :

Ron Babin

Étudiant :

Partenaire :

IIBA

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Hyivy device as non-hormonal therapeutic for endometriosis

Hyivy Health and McMaster University are collaborating on a research study around the effects of the Hyivy Therapy Device as a non-hormonal therapeutic for people with endometriosis. The goal is to track the effects on chronic pelvic pain while exploring the impact on quality of life, usability, and sexual function. Results of this study will provide a new strategy for people suffering with endometriosis to manage their pain.

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Superviseur du corps professoral :

Mathew Leonardi;Jocelyn Wessels

Étudiant :

Partenaire :

Hyivy Health Inc.

Discipline :

Life Sciences

Secteur :

Manufacturing; Retail trade

Université :

McMaster University

Programme :

Accelerate

Développement d’un prototype de modèle à base d’agents pour comprendre la construction de la mémoire collective au sein d’une communauté

Cette recherche vise à développer un outil prototype qui nous permettra de reconstruire les mémoires collectives des peuples indigènes et de comprendre leur approche vis-à-vis de la gestion des enjeux d’adaptation aux changements climatiques auxquels ils sont confrontés. La plupart des peuples indigènes cultivent la fidélité aux plus profondes mémoires qui à la fois relient les vivants au passé ancestral et éclairent la voie de l’avenir. La façon dont les Premières Nations ont imprégné le monde naturel d’un sens du sacré n’est pas contraire à la science, mais plutôt une reconnaissance de la complexité et de la valeur des systèmes écologiques et biologiques que la science met en lumière.

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Superviseur du corps professoral :

Liliana Perez

Étudiant :

Partenaire :

Ciblexpert

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Macrofungal biodiversity in coastal temperate rainforests of British Columbia

Coastal temperate rainforests hold a high biodiversity of living organisms, including many fungal species. The
diversity of fungi remain poorly described in forests of BC. In the proposed study, we will document these species
and improve our understanding of ecosystem complexity by gathering essential baseline information on fungal
communities. This will be useful for applied research and for the long-term monitoring these forests, particularly
when considering future climate change impacts. This project has two broad objectives that will target the
macrofungal community in forest ecosystems. The first objective will be to conduct a systematic sampling of these
fungi in a coastal forest ecosystem to identify species and describe their biodiversity. The second objective will be
to select a subset of identified fungi and isolate mycelial cultures. This fungal culture collection will provide material
for future research projects that will study and describe novel bioactive compounds produced by these fungi.

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Superviseur du corps professoral :

Will Hintz

Étudiant :

Partenaire :

Kapoose Creek Organics Ltd.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

Numerisation tridimensionnelle d’un vehicule en milieu reel et determination automatisee de trajectoires robots

Groupe Domax est une entreprise spécialisée dans l’intégration et l’opération de lave-autos mécanisés en Amérique du Nord. Groupe Domax prévoit se positionner comme le nouveau leader mondial en ce qui a trait au lavage automatisé et écologique, et ainsi se démarquer favorablement dans un marché de 19,6 milliards de dollars seulement en Amérique du Nord. Pour en arriver à réaliser cet objectif, l’entreprise a besoin de développer une méthodologie de numérisation tridimensionnelle de véhicules routiers et de transposer ces données en coordonnées robotisées utilisables en milieu réel. Le projet de stage consiste donc en la détermination d’une méthodologie efficace et rapide utilisables par des robots 6-axes conventionnels de marque FANUC.

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Superviseur du corps professoral :

François Michaud

Étudiant :

Partenaire :

Groupe Domax

Discipline :

Engineering

Secteur :

Other services (except public administration)

Université :

Université de Sherbrooke

Programme :

Accelerate

Intégration des facteurs de vulnérabilité au dopage dans la structure du sport universitaire nord-américain

Le projet de recherche se déroulera sur une période de trois ans. Lors de la première année, l’objectif est de développer les liens d’influences entre facteurs de vulnérabilité dans le but d’y cartographier l’écosystème existant afin de mieux comprendre comment ces différents éléments affectent le processus décisionnel de dopage chez les athlètes. Cela se fera à l’aide d’analyses corrélationnelles et sera inscrit dans un modèle comportemental. Le modèle développé sera utilisé lors de la deuxième année pour évaluer l’intégration des facteurs de vulnérabilité au sein des programmes éducatifs antidopage proposés par l’Agence Mondiale Antidopage, l’agence antidopage canadienne (CCES) et l’agence antidopage américaine (USADA). Cette évaluation se fera en fonction d’une grille d’analyse développée à partir d’études précédentes sur le sujet, et des informations recueillies lors de l’année 1. Trois groupes de discussion seront créés afin de recueillir les informations nécessaires. Durant la dernière année, une étude de l’intégration des facteurs de vulnérabilité au sein du sport universitaire américain (NCAA) sera effectuée. L’intérêt d’utiliser la NCAA est simple, plusieurs de ses athlètes participent à des compétitions internationales et doivent se conformer au Code mondial antidopage, mais aussi au programme antidopage universitaire qui est différent du Code mondial.

Voir la description complète du projet
Superviseur du corps professoral :

David Pavot

Étudiant :

Partenaire :

Agence mondiale antidopage

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Université de Sherbrooke

Programme :

Accelerate

Anode and solid electrolyte interface engineering

In our project, we plan to improve the interfacial properties between metallic Li anodes and garnet-based Li7La3Zr2O12 (LLZ) electrolyte. The approach is to use coating techniques such as chemical and physical vapor deposition (CVD/PVD), and atomic layer deposition (ALD) to deposit a thin protection layer on a dense LLZ separator which is co-sintered with a composite cathode. These composite cathodes have already shown to be suitable to obtain high areal capacity over 4 mAh cm-2. By using a metallic Li anode, we expect to increase the areal capacity further. In addition the often observed Li dendrite formation might be suppressed due to the coating layer as the Li plating is more homogenous. The screening of various coating layers will allow us to select the most suitable material. Analysis of the cycling behavior, combined with structural analysis will enable us to understand the mechanisms and the interfacial reactions during cycling between anode and solid electrolyte in more detail. This is beneficial for future design of the anode/solid electrolyte interface.

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Superviseur du corps professoral :

Xueliang Andy Sun

Étudiant :

Partenaire :

Forschungszentrum Jülich

Discipline :

Engineering

Secteur :

Environmental Science and Technology; Energy and Utilities; Sustainability & the Environment

Université :

The University of Western Ontario

Programme :

Globalink Research Award

Conceptual Design of Unmanned Aerial Vehicles

The project aims to enable and formalize the conceptual design and optimization of the different UAV designs, including safety and reliability considerations. This achievement will contribute to the emergence of UAV in safety-critical applications that would change our daily lives like air taxiing, painting skyscrapers, urban surveillance, media coverage, logistics, deliveries, or flying ambulances. As of writing this proposal, there is no methodology in the open literature to size and evaluate various UAV concepts. Also, there is no methodology to size and evaluate UAV concepts with safety and reliability considerations. Therefore, the project’s first objective is to establish and validate a methodology and software tool to size the different UAV design concepts (fixed-wing, multicopter and VTOL fixed-wing). The second project’s objective is to include safety and reliability considerations by incorporating and optimizing redundancy measures in the evaluated concepts. The first objective will be achieved by adapting and further developing a promising design methodology and its tool based on scaling laws and multi-disciplinary optimization. This methodology originates from the student’s home laboratory and he is currently working on applying it to multicopters.

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Superviseur du corps professoral :

Jonathan Liscouet

Étudiant :

Partenaire :

Université de Toulouse (INSA Toulouse);Institut Supérieur de l'Aéronautique et de l'Espace

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Plenty Canada Water Management System

Combined water management system including integrated composting toilets, greywater diversion with biological filtration, and rainwater harvesting for irrigation. Avoids the use of traditional septic fields or tanks in an effort to create a safe, decentralized, low maintenance, and repeatable holistic water and waste management system that does not contribute to soil nutrient depletion, erosion, or water nutrification and hypoxia.

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Superviseur du corps professoral :

Adrian Drozdowski

Étudiant :

Partenaire :

Plenty Canada

Discipline :

Engineering

Secteur :

Agriculture; Arts, entertainment and recreation; Education; Health and Related Sciences & Technology; Other services (except public administration); Professional, scientific and technical services

Université :

Mohawk College of Applied Arts and Technology

Programme :

Business Strategy Internship

Healthcare Innovations Through Insights

Shannex has implemented an innovative technology solution which is currently being piloted in several locations. In order to understand how the quality of life of residents can fully benefit from this rich data source, in collaboration with other medical outputs, a new group was formed within Shannex, called the Insights Lab. All operational policies and procedures , as well as reporting/ process flow, must be developped for this new group to successfully collaborate with healthcare teams in a meaningful way.

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Superviseur du corps professoral :

D. David Persaud

Étudiant :

Partenaire :

Shannex Inc

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Dalhousie University

Programme :

Business Strategy Internship

Development of an automated image registration and depth estimation for fruit detection using deep learning and spectral imaging

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer working with Vivid Machines Inc. will develop a novel machine learning-based approach to automate the fruit detection and analysis. The proposed method will be helpful in assisting fruit counting, assessment, and automated harvesting. The project will allow Vivid Machines Inc. to stay ahead of the competition by providing a novel best-in-class system for managing fruits and vegetables for farm enterprises.

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Superviseur du corps professoral :

Kumaradevan Punithakumar;Nilanjan Ray

Étudiant :

Partenaire :

Vivid Machines

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate