Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Encrypted Load Frequency Control in Multi-Area Power Grids

The aim of this project consists in developing a resilient control architecture for LFC problems in networked multi-area power systems able to match the power generation to the load demand and deal with the occurrence of anomalies along the network medium due to the actions of external intruders.
Accordingly, the proposal will move along two directions:
1. Defining a control framework simply adaptable to different classes of attacks. This is achieved by resorting to the Model Predictive Control (MPC) philosophy that is fully exploited for detection, countermeasures and control purposes. Specifically, discrete-time receding horizon LFC schemes for networked power grids systems will be developed by exploiting data sharing between each area and RTU.
2. Exploiting confidentiality of sensitive system states, control actions and controller parameters in the control loop by resorting to the potentialities offered by the emerging field of the encrypted control.

Voir la description complète du projet
Superviseur du corps professoral :

Amr Youssef

Étudiant :

Partenaire :

University of Calabria

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

Standardized Production and Characterization of the Lead-203 and Lead-212 Theranostic Pair for Radiopharmaceutical Development and Commercialization

Radioactive medical isotopes lead-203 (203Pb) and lead-212 (212Pb), which are compatible with nuclear imaging and cancer therapy, respectively, have recently gained international academic and commercial attention due to successes in clinical trials. Through initial imaging with 203Pb-labeled drugs, physicians can determine if the patient will be suitable for treatment with the 212Pb-labeled counterpart, allowing for a more personalized approach to cancer therapy. Though this pair has great potential, manufacturing methods must be scaled up to meet GMP standards and clinical demand. This Project aims to establish an automated target manufacturing method and purification system for these isotopes to allow ARTMS Inc. to commercialize this technology to make these high purity isotopes available for use by nuclear medicine researchers and physicians worldwide to improve the diagnosis and treatment of cancer.

Voir la description complète du projet
Superviseur du corps professoral :

Caterina Ramogida

Étudiant :

Partenaire :

ARTMS

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Development of an in vivo liver cancer model for immunotherapy validation

Many liver cancer cases are diagnosed at advanced and inoperable stages, at this point, the disease is highly lethal and most patients do not survive more than a year. Currently, the front-line treatment for inoperable liver cancer is antibody-based immunotherapy, but only 30% of patients respond to this therapy. Our lab has developed a lipid nanoparticle (LNP) formulation that is capable of targeting an immune-boosting drug to the liver, aiming to potentiate the approved antibody immunotherapy and increase the response rate and survival. Currently, my home lab does not have a liver cancer model that allows me to examine the efficacy of our LNP therapy. I will learn how to establish a reliable liver cancer model in mice in Japan and establish the model in UBC to complete my MSc project.

Voir la description complète du projet
Superviseur du corps professoral :

Shyh-Dar Li

Étudiant :

Partenaire :

Tokushima University

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Health and Related Sciences & Technology; Biotechnology

Université :

The University of British Columbia

Programme :

Globalink Research Award

Evaluation of CO2 Storage Potential in the Deep Mannville Coals – Phase 2: Horizontal Well Simulation and Use of Subsurface Coal for CO2-containing Mixed Gas Component Separation

To support blue hydrogen economy processes that generate CO2 as a by-product, and greenhouse gas (GHG) sequestration studies in general, the injection and storage of CO2 into deep (~1500m), un-minable coal seams hosted in the Mannville Formation of Alberta will be studied. Using the successful proof-of-concept field injection pilot results from the first phase of research, application of horizontal wells to ‘scale up’ CO2 injection to commercial levels will be explored herein. In addition, the purification of effluents (through removal of CO2) generated by various industrial processes, by flowing them through subsurface coal seams, will be explored. These evaluations are of great importance to the partner organization because they require a suitable repository for CO2, which is a by-product of their hydrogen-generating process.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Clarkson

Étudiant :

Partenaire :

Cvictus Inc.

Discipline :

Engineering

Secteur :

Agriculture; Manufacturing

Université :

University of Calgary

Programme :

Accelerate

SABRI Greenhouse Feasibility Study

This project involves developing a study to determine the feasibility of operating a greenhouse operation in St. Anthony, NL to address the food insecurity issue.

Voir la description complète du projet
Superviseur du corps professoral :

Lynn Kendall

Étudiant :

Partenaire :

St. Anthony Basin Resources Inc.

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Develop anatomical compartment model protocols for human anatomical segmentation

This project will help Voronoi Health Analytics improve and refine their advanced artificial models used for automating interpreting and analyzing medical images. The intern will help with data collection processes that are required in order to train state of the art AI models for automating medical image analysis, resulting in more efficient and effective health outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Matthew Hamilton

Étudiant :

Partenaire :

Voronoi Health Analytics Incorporated

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Genomics of white mold disease resistance in common bean (Phaseaolus vulgaris L.)

Sclerotinia sclerotiorum L. de Bary is one of the most destructive pathogens in common bean in Canada and all around the world. This fungal pathogen affects over 500 species of plants and its damages vary among and within population from different geographical regions and this can be partially explained due to the genetic diversity in a population in a certain region. An understanding of the genetic diversity of this plant pathogen is essential to implement effective management strategies including the deployment of resistant cultivars. However, the existing studies on genetic diversity lack a more complete overview of the genetic of the population within a production area. The goal of our project is to perform mycelial compatibility group’s assays (MCG) and whole genome sequencing (WGS) in a collection of Sclerotinia sclerotiorum isolates collected in different commercial fields in Quebec and Ontario, to examine the genetic composition of the population present in the region and give a broader insight onto control strategies involving deployment of resistant cultivars. I will be spending time at Dr. Debyshire’s lab to learn bioinformatics tools and, whole genome sequence data and initiate drafting of manuscripts

Voir la description complète du projet
Superviseur du corps professoral :

Valerio Hoyos-Villegas

Étudiant :

Partenaire :

Curtin University

Discipline :

Earth science

Secteur :

Agriculture and Food; Biotechnology; Life Sciences (not health)

Université :

McGill University

Programme :

Globalink Research Award

L’expérience gestionnaire dans le Réseau de la Santé et des Services Sociaux (RSSS) du Québec

Un personnel valorisé et en nombre suffisant représente une condition essentielle à l’accomplissement de la mission première des établissements du RSSS : offrir une expérience usager positive, agréable et de qualité. Or, la pénurie de main d’oeuvre qui sévit actuellement au sein du réseau ainsi que l’essoufflement des gestionnaires et du personnel à pied d’oeuvre constitue des éléments qui fragilisent l’accomplissement de cette mission. Comment rendre le RSSS plus humain et performant tel qu’énoncé dans le plan santé du MSSS? C’est à cette question que cette étude souhaite répondre en s’appuyant sur les piliers du réseau : les gestionnaires et employés qui le font vivre au quotidien. Plus spécifiquement, ce projet compte brosser le portrait de facteurs organisationnels, psychosociaux et personnels qui composent l’expérience au travail de gestionnaires et employés du RSSS. Par le biais de groupes de discussion focalisée, les gestionnaires et employés de l’établissement partenaire sont invités à partager leurs perceptions des pratiques de leadership en place et de certains facteurs psychosociaux (p.ex., soutien psychosocial, latitude décisionnelle, charge de travail) de l’environnement de travail. Une approche qualitative (analyse de contenu) sera privilégiée afin de poursuivre l’atteinte de l’objectif visé.

Voir la description complète du projet
Superviseur du corps professoral :

Julie Levesque-Côté;Stéphanie Austin

Étudiant :

Partenaire :

Centre intégré de santé et de services sociaux de Lanaudière

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Sustainable development of solid waste management in the Riding Mountain National Park

Riding Mountain National Park is a national park in western Manitoba and managed by Parks Canada. The populations of Riding Mountain National Park and Wasagaming town are seasonal and fluctuate drastically throughout the year. During the peak season, which generally runs from May to October, Riding Mountain National Park is a very popular tourist destination, receiving nearly 400,000 visitors in a season. Parks Canada provides waste and recycling collection, transportation, processing, and disposal services for the majority of the Riding Mountain National Park area. The fluctuating population influence waste generation. The project aims to study the current waste management system, provide a better understanding of the generated solid waste in peak season and off-peak season, and develop a sustainable waste management system at the Riding Mountain National Park area.

Voir la description complète du projet
Superviseur du corps professoral :

Qiuyan Yuan

Étudiant :

Partenaire :

Municipality of Harrison Park

Discipline :

Engineering

Secteur :

Public administration

Université :

University of Manitoba

Programme :

Accelerate

Multi-modal Defect Detection of Fillet Joints in Gas Metal Arc Welding

Failure in pipelines may have financial and life-threatening consequences. High-quality weld joints in pipelines can avoid these consequences and improve the company’s productivity and reputation. To improve the weld quality, an efficient solution is to detect the defects. A collaboration of human and robots can provide an accurate, robust defect detection system. This system requires sensors to observe and record the information during the welding process. It also requires an Artificial Intelligence (AI) model to distinguish the defective and normal data. This project aims to develop an appropriate AI model to detect the defects in fillet joints during Gas Metal Arc Welding (GMAW) process. We will use a collaborative welding robot to collect sufficient training data including the welding images, sound signals, and welding parameter. Then we will label the data and use transfer learning and fusion learning rules to train an AI model on the prepared dataset.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Dumont;Klaske van Heusden

Étudiant :

Partenaire :

Novarc Technologies

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

A Study on the Durability and Service Life of Concrete Gravity Base Structures (Phase 1, 2)

The project focuses on the development of some HPC mixtures using concrete materials available in Newfoundland. The developed HPC mixtures can be successfully used by concrete suppliers in Newfoundland area especially for the construction of marine and offshore structures. The project also aims to provide data-based analysis on the service life of some local concrete mixtures to be used in gravity base structures. The data-based analysis will give the designers/engineers a vision about the expected service life time of some common concrete mixtures and can assist decision makers to address uncertainty regarding the decommissioning of offshore structures especially if the reuse decision was favored.

Voir la description complète du projet
Superviseur du corps professoral :

Assem Hassan

Étudiant :

Partenaire :

Stantec Consulting (St John's, NL);Petroleum Research Newfoundland & Labrador

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Local Black History Internship Program

The Local Black History Internship Program will provide an undergraduate student from the University of Windsor with a unique opportunity to conduct research with a university professor and develop a museum exhibit for the Amherstburg Freedom Museum. This position will offer the intern insights into how the study of the past is conducted by professional historians, as well as valuable hands-on experiences in the fields of public history and museum studies. The program will furnish the Amherstburg Freedom Museum with support to further develop their museum offerings, with the hopes of attracting additional visitors to the Museum. Additionally, it will enable the Museum to further showcase the diverse lived experiences of Black individuals throughout the region.

Voir la description complète du projet
Superviseur du corps professoral :

Gregg French

Étudiant :

Partenaire :

Amherstburg Freedom Museum

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

University of Windsor

Programme :

Accelerate

Précédent
1...1,0151,0161,0171,0181,0191,0201,021...2,473
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’abonner