Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Advance WAAM for hybrid manufacturing and additive repair purposes

Nowadays, the need for newer, more flexible, and efficient production methods is higher than ever. As a disruptive manufacturing technology, powder-based additive manufacturing (AM) systems are best suited for the fabrication of complex but small components. The limited enclosed working envelope of the powder-based AM processes, along with their low deposition rate, hinder their capabilities in the fabrication of large-scale parts. The mission of the proposed project is to realize the full potential of the state-of-the-art wire arc additive manufacturing (WAAM) technology for hybrid manufacturing and additive repair of metallic components. Owing to its significantly high deposition rate (3-8 kg/h), substantial reduction in the fabrication time, and an unlimited build envelope, WAAM technology has the potential to be one of the most significant manufacturing innovations in many industries. However, the industrial evolution and adoption of this technology are currently limited due to the current lack of a commercially available robotic WAAM platform. The proposed research program will contribute critical knowledge related to the advancement of the process in fabrication of dissimilar metal components from special grade of stainless steels.

Voir la description complète du projet
Superviseur du corps professoral :

Ali Nasiri

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Ocean Tech; Manufacturing and Construction

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Methodology development and implementation of a platform for non-destructive evaluation of both butt-fused and electrofused polyethylene pipe joints using ultrasound and deep learning

The infrastructure industry needs a way to non-destructively assess plastic pipe joints. We aim to research, design, and develop methodologies and a prototype device that allow automated inspection of these joints (made with the two most common joining methods) using ultrasound and artificial intelligence (AI). We propose a novel method that uses a two-element ultrasonic transducer (inexpensive but sensitive enough compared to previous methods). Ultrasonic signals produced by this transducer will be read by the AI, which will assess the joint (determine whether it contains a defect, and if so, characterize it in terms of type, size, and location), and display the results on a screen. Our proposed solution is inexpensive (so industry will adopt it), portable (as these joints are made usually in ditches as pipes are being inserted into the ground), and easy-to-use (hence, the AI component). The prototype will become a marketable product for our partner.

Voir la description complète du projet
Superviseur du corps professoral :

Roman Maev

Étudiant :

Partenaire :

JANA Corporation

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Empowerment et disempowerment dans les organisations de travail alternatives

L’objectif de ce projet de recherche est de mettre en pratique le concept central du mémoire de recherche de Samuel Dupuis : le « disempowerment », afin d’en comprendre les différentes utilisations pratiques et lacunes potentielles dans la réalité. Il s’agira d’observer en quoi le processus de responsabilisation et de développement, aussi personnel que collectif, nécessaire à une organisation de travail alternative, implique toujours déjà un travail de réflexion de la part des acteurs.trices. Ce volet pratique permettra à l’étudiant d’étoffer le volet théorique de son mémoire : le travail de conceptualisation du « disempowerment ». Puisque la méthode de recherche employée en sera une active, plusieurs changements sont à attendre dans l’organisation de travail. C’est d’abord et avant tout l’expérience personnelle et la volonté collective des employé.es de l’entreprise qui modèleront les changements organisationnels apportés.

Voir la description complète du projet
Superviseur du corps professoral :

Allison Marchildon

Étudiant :

Partenaire :

Events.Work

Discipline :

Sociology

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Machine learning for real-time parameters estimation and control of robotic laser cleaning

Surface cleaning is a technology used in a wide variety of industries, from heavy manufacturing and the energy sector through to conservation and restoration. Historically, technologies such as sandblasting and pressure washing have been used which have significant environmental and waste challenges. More recently, laser ablation has been used for surface cleaning. This last technology has a much lower waste disposal requirement due to the lack of blast media along with other benefits. Currently, lasers are used in paint stripping, rust removal, radioactive surface removal as well as component resurfacing for further processing. The current market’s needs hold a lot of potential. Market adoption of laser cleaning is limited as the systems available today must be operated by highly skilled technicians with constant monitoring/control of the cleaning process. The main objective of this project is to integrate AI and machine learning capabilities with the laser cleaning technology to allow for faster, more accurate and autonomous cleaning of increasingly complex components. This is achieved through constant monitoring of the substrate surface using sensors. The data from these sensors will be used to compare against required surface conditions and the AI will be used to control the laser settings accordingly.

Voir la description complète du projet
Superviseur du corps professoral :

Moulay Akhloufi

Étudiant :

Partenaire :

ASP Laser Inc

Discipline :

Computer science

Secteur :

Clean Technology; Advanced Manufacturing; Artificial Intelligence

Université :

Université de Moncton

Programme :

Accelerate

Effectiveness of Cannabis strains at reducing seizure rate in a zebrafish model of epilepsy

Cannabis has been used for centuries to treat epilepsy and related convulsive disorders. While Anecdotal evidence suggests a therapeutic benefit in some patients, there is little information as to what compounds within Cannabis plants may have medicinal benefits. This work will highlight specific strains (which CEPG will grow locally in Jackson’s Arm, NL) that will potentially provide effective seizure control in epileptic patients.

Voir la description complète du projet
Superviseur du corps professoral :

Curtis R French

Étudiant :

Partenaire :

Epilepsy Newfoundland and Labrador;CEPG Inc

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Development of Decision Support System for Dynamic positioning Control of Vessel

Current work presents an overall framework for control and monitoring of dynamic position of vessel in the offshore facilities. In the core of the framework a control system will be used to keep vessel in desired position and an estimator to estimate ice, wind speed etc. Outer layer of the framework presents a monitoring system that alert the operator when vessel moves away from safe operation zone. All the results of the framework will be presented in a graphical user interface. The graphical user interface will give a complete overview of the position control and monitoring state. Through the project, the partner organization are introducing the new idea and industrial practices to the broader community.

Voir la description complète du projet
Superviseur du corps professoral :

Syed Imtiaz

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Transportation (excluding aerospace)

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Sea cucumber (Cucumaria frondosa) processing discards (viscera): Potential nutritional supplements (powder and liquid extract)

The most common sea cucumber found in the North Atlantic Ocean is orange footed Cucumaria frondosa. Sea cucumber is packed with numerous high-value nutraceuticals and pharmaceuticals. During sea cucumber processing, visceral by-products are discarded as waste, representing around 50% of the sea cucumber biomass. These by-products are rich sources of proteins, vitamins, minerals, and biologically active compounds that may benefit overall health. Therefore, the proposed project will develop nutritional supplements (powder and liquid extract) from sea cucumber viscera. This study will allow the full utilization of C. frondosa and improves the environmental performance of the sea cucumber industries through the utilization of sea cucumber discards.

Voir la description complète du projet
Superviseur du corps professoral :

Deepika Dave

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Aquaculture and Fishing

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Dynamique du sous-bois de la forêt boréale mixte

Le projet vise à évaluer pour la forêt boréale mixte les changements qui se sont produits dans la strate de sous-bois sur une période de 20 ans et cela en fonction d’une chronoséquence après feu couvrant une période de près de 250 ans. L’étude sera menée dans la zone de conservation (c’est-à-dire une zone sans activités de gestion) de la Forêt d’enseignement et de recherche du lac Duparquet (FERLD) (79°1′ O, 48°30′ N). Le projet vise deux sous-objectifs soit i) échantillonner la composition des bryophytes selon la chronoséquence et ii) réévaluer les changements sur 20 ans de la strate de sous-bois dans les peuplements naturels. Les résultats serviront à évaluer comment les traitements sylvicoles réalisés à la FERLD et à la forêt boréale mixte en général permettent de maintenir la biodiversité du sous bois. Ils seront utiles dans le cadre de la certification environnementale du partenaire industriel

Voir la description complète du projet
Superviseur du corps professoral :

Nicole Fenton;Yves Bergeron

Étudiant :

Partenaire :

Rayonier A.M. Canada S.E.N.C.;Produits forestiers GreenFirst

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Accelerate

Assessment of Bioremediation of Petroleum Contaminated Soils under Cold Climate

The main objective of this research is the feasibility assessment of bioremediation of petroleum contaminated soils for cold climate conditions. LLSRI as the industrial partner is interested to evaluate feasibility of conducting bioremediation through the cold season to extend its operation and generate more revenue. This will be investigated by construction, operation and maintenance of 16 different full-scale biopiles at the LLSRI site under cold climate conditions over a period of 5-6 months, subjected to different amounts of bacterial augmentation (bacterial load) and compost as biostimulation agent. The performance and efficiency of the process will be determined by the extent of the reduction of contaminant concentrations. The biopiles will be maintained until the provincial criteria are met.
During the course of the experiments composite soil samples will be collected according to standard sampling techniques and analyzed for TPH, PAH, pH, nutrients (N,P), heterotrophic aerobic bacteria count (log CFU/g) and total hydrocarbon…TOBECONT’D…

Voir la description complète du projet
Superviseur du corps professoral :

Majid Sartaj

Étudiant :

Partenaire :

Lafleche Leblanc Soil Recycling Inc

Discipline :

Engineering

Secteur :

Université :

University of Ottawa

Programme :

Accelerate

SWASH (Shallow Water Autonomous Surveying Hovercraft) System

Common methods of surveying in very shallow water (<5 meters) may have issues maneuvering in such an environment or be less effective depending on water clarity. The SWASH (shallow water autonomous surveying hovercraft) system can move from land to water seamlessly and is able to collect high resolution data in water as shallow as 30 cm. Our first hovercraft prototype works as this platform that bridges the gap between maneuverability and accurate data collection but faces challenges depending on some external environmental factors including wind and waves. The proposed project is to build a second hovercraft prototype which is still able to maneuver over land and water and collect high resolution data at shallow depths but can also overcome wind, waves, and currents without being pushed off track. This platform will be able to be used in not just a mapping survey, but in many other possible surveys and can therefore be marketed for a variety of uses both academic and non-academic.

Voir la description complète du projet
Superviseur du corps professoral :

David Barclay

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Physics

Secteur :

Ocean Tech; Environmental Science and Technology; Sustainability & the Environment

Université :

Dalhousie University

Programme :

Accelerate

Élite Neurokinetix Inc

Élite Neurokinetix (ENK) développe une plateforme web facilitant le transfert de connaissances scientifiques aux athlètes et entraîneurs, afin d’accompagner l’entraînement, et d’optimiser la performance sportive, la sécurité et le bien-être des athlètes. La plateforme est ancrée dans une approche inclusive et centrée sur les besoins de l’athlète pour favoriser leur développement positif à long terme.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

Élite NeuroKinetix

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Business Strategy Internship

Azurdev

Azurdev is a new venture oriented towards providing better patient care in the world’s hospitals. The team behind Azurdev has over 20 years of experience in providing digital entertainment platforms for the Hotel industry, and more recently to the Quebec hospitals. Owing to the market demand of digital health, Azurdev, in 2019, decided to develop digital intelligent healthcare solutions for hospitals, catering unsaid needs of the patients and medical staff and has successfully launched its digital healthcare platform in a number of hospitals in Quebec, Canada. With this the project, the intern will analyze the Indian healthcare market through various frameworks and would make a list of Pro & Cons of various market entry options such as export, licensing, Joint-venture and greenfield while keeping in mind the resource and capabilities of the company i.e. Azurdev. After analyzing various alternatives for market entry in this real-world business project, the intern would suggest the market entry strategy which would be coherent and consistent with corporate strategy, thus, enhancing market entry strategy development skills of the intern.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

Azurdev

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Business Strategy Internship

Précédent
1...1,8911,8921,8931,8941,8951,8961,897...2,543
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire