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

Developing a novel solar cell incorporating graphene and collaborative technologies

The rapid depletion of fossil fuels (such as Coal, Natural gas, Oil etc.) and the escalation in environmental pollution have prompted increased investigations in the field of alternative energy sources. In this context, solar cells are being studied to satisfy the increasing power needs of today’s society as photovoltaic power uses pollution-free energy source, solar energy. Silicon solar cells are still very expensive due to both the using of expensive materials and the employing costly processing steps. Dye-sensitized solar cells (DSSCs) are a very promising type of solar cell because of their low cost, simple and inexpensive processes and straightforward scalability. Leveraging the architecture of DSSCs while using materials developed at multiple Canadian universities, this project aims to develop a solar cell for the consumer and commercial markets that is affordable and robust.

Voir la description complète du projet
Superviseur du corps professoral :

Federico Rosei

Étudiant :

Partenaire :

Treal Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Real-time ultra-deep mining geotechnical hazard prediction using statistical algorithms

This project aims to develop, and implement a code for real-time geotechnical hazard assessment and reporting for ultra-deep mining. This pilot project will be tested on a real mining site the Glencore’s Nickel Rim South Mine near Sudbury. This algorithm will represent a step-change in the capability to assess and manage geotechnical risk in mining, which will have particular value in the high-stress geotechnical operating conditions of ultra-deep mines. The problem of geotechnical hazard assessment is amenable to risk identification methods developed recently in the field of “predictive analytics”, one of the most research intensive areas in computational science. Preliminary tests of a predictive analytics system carried out for rockburst hazard assessment at a deep Sudbury nickel mine demonstrated remarkable success in hazard predictability relative to previously deployed statistical methods. A major aspect of this research proposal is detailed testing and refinement of this method for the geohazard problem, focusing on creation of a continuous learning system that will refine hazard assessments in response to mining history. If successful, this will represent a fundamentally new and powerful approach to geotechnical hazard assessment in ultra-deep mines.

Voir la description complète du projet
Superviseur du corps professoral :

Erwan Glaoguen

Étudiant :

Partenaire :

Mira Geosciences Ltd

Discipline :

Earth science

Secteur :

Mining; Professional, scientific and technical services

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Developing advanced ore sorting sensing systems for gold deposits

This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will “see” the rocks characteristics, whether it’s their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two types of rock from each other. This technique minimizes the amount of material (by removing worthless rocks) that is sent to the downstream processing units therefore saving the mine a lot of operating cost and will keep mining sustainable and environmentally friendly.

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Superviseur du corps professoral :

Bern Klein

Étudiant :

Partenaire :

Newmont Goldcorp (Vancouver, BC)

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

Designing multi-family housing to boost social capital and psychological well-being

There is no more powerful correlate of human health and wellbeing than positive social relationships. Multi-family housing, through design, layout, and location, can exert a significant effect on local relationships, neighborhood trust and residents’ sense of belonging. We propose a program to gather, refine and illustrate the evidence linking design and social wellbeing in multi-family housing. Insights from environmental psychology, sociology and public health will be translated into accessible materials which will offer guidance for developers, builders, policymakers and the people who buy or rent homes in BC. Learnings will be shared in print and online.

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Superviseur du corps professoral :

Lawrence Frank

Étudiant :

Partenaire :

Happy City Lab Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

A remote sensing-based wetland inventory and classification framework for Newfoundland and Labrador using satellite optical and synthetic aperture radar data

This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach will help Ducks Unlimited Canada for conserving wetland and for waterfowl, wildlife and people. In addition, the wetland classification system will help Stantec for their environmental assessment projects and identify, evaluate, and map wetlands in relation to various land use management initiatives.

Voir la description complète du projet
Superviseur du corps professoral :

Bahram Salehi

Étudiant :

Partenaire :

Stantec Consulting (Dartmouth, NS);Ducks Unlimited Canada (NS);C-CORE

Discipline :

Engineering

Secteur :

Water; Natural Resources; Forestry

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Instructor Implemented Positive Behaviour Support in a Fitness Program for Adolescents and Adults with Autism

Research suggests that individuals with autism live a lower quality of life than their peers. Individuals with autism are more likely to become obese than their typically developing peers, and less likely to develop friendships and be involved in their communities. While physical fitness service providers are experts in physical fitness, working with individuals with autism can require additional teaching skills. This study will investigate the effectiveness of instructor implemented Positive Behaviour Support for young adults with autism in a physical fitness program. It is anticipated that the Canucks Autism Network will benefit from this study through the demonstration of the effectiveness of their instructor training and fitness program. The instructors in the study are anticipated to develop skills to work with individuals with autism, which they can further apply in their practice. Participants in the study are anticipated to experience health and social benefits from participating in the program.

Voir la description complète du projet
Superviseur du corps professoral :

Joe Lucyshyn

Étudiant :

Partenaire :

Canucks Autism Network

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

The University of British Columbia

Programme :

Accelerate

Bibliothèque d’intelligence artificielle pour la simulation de la dynamique des opérations dans un centre d’électrolyse

La simulation dynamique est d’une aide précieuse pour étudier des stratégies d’amélioration. Elle permet de visualiser le comportement d’un système dans un cadre virtuel, identifier les goulots et expérimenter avec une large gamme de scénarios [1].
Le projet vise à concevoir et mettre en oeuvre une bibliothèque logicielle pour modéliser l’opération des équipements d’un centre d’électrolyse. Les composants devront être réutilisables, modulaires et basés sur des méthodes de nouvelle génération de l’intelligence artificielle. Plus précisément, les composants seront centrés autour du concept d’agent intelligent avec des comportements exprimés par des behavior tree modulaires [2].
Les composants seront assemblés pour simuler le comportement des humains responsable :
• de la gestion du parc de ponts roulants d’opération ;
• de la gestion du parc de véhicules de transport des cabarets et des creusets ;
• de l’opération des véhicules de transport (déplacement, tâches, etc.) ;
• des opérations usuelles sur les cuves via les ponts roulants (siphonage, changement des anodes, etc.).
Le développement, la validation et les expérimentations seront réalisés au sein d’un simulateur dynamique déjà existant, basé sur une intégration continue en temps des processus d’opération. Ce dernier a été utilisé pour plusieurs projets de modernisation de centre d’électrolyse.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Boivin

Étudiant :

Partenaire :

Groupe Conseil Filion

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Diversité floristique et gradients environnementaux dans les tourbières du Québec

Les tourbières représentent la majorité des milieux humides du Québec et offrent une diversité floristique unique. Cependant, les gradients structurant leur biodiversité restent mal connus. Cette compréhension est toutefois essentielle afin d’orienter adéquatement les choix de conservation. Nos objectifs sont 1) de modéliser la répartition de la diversité floristique des tourbières; 2) d’étudier la dynamique des tourbières sujettes à des pressions d’origine anthropique; et 3) d’identifier les secteurs où elles présentent une haute unicité floristique, et donc un intérêt particulier pour la conservation. Ce projet bénéficiera d’une base de données exceptionnelle regroupant 7 567 relevés de végétation répartis sur 1 300 km du sud au nord de la province. Les résultats de ce projet permettront à Conservation de la nature de mieux planifier la conservation des tourbières dans leurs régions d’intérêt et d’être mieux positionné pour faire valoir la nature remarquable de certains sites ayant révélé une diversité exceptionnelle d’espèces végétales.

Voir la description complète du projet
Superviseur du corps professoral :

Stéphanie Pellerin;Monique Poulin

Étudiant :

Partenaire :

La Société canadienne pour la conservation de la nature

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Mycobiota dysbiosis in colitis-associated colorectal cancer

A higher incidence of colon cancer is reported in populations consuming high amounts of red meat, as well as in patients with inflammatory bowel disease, where gut bacteria participate in the development of inflammation. We found that dietary supplementation with heme, an element found at high levels in blood, is detrimental to gut health and it fosters the growth of harmful bacteria. In this project, we propose to establish new procedures for both the manipulation of the gut bacteria (microbiota), as well as its characterization using a new state of the art sequencer. We will generate probiotics (live bacteria that promote health) to reduce intestinal heme levels in order to protect the gut from inflammation. Novel technologies and equipment for fast and cost-effective characterization of the gut microbiota will allow the introduction of microbiota characterization in the clinic and implementation of personalized medicine.

Voir la description complète du projet
Superviseur du corps professoral :

Manuela Santos

Étudiant :

Partenaire :

Institut du cancer de Montréal

Discipline :

Life Sciences

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Improving in-situ SVE remediation process through an integrated stochastic simulation-optimization system at the Cantuar sitea

This project is to help SaskEnergy characterize the pollutant transport behaviors under the remediation process of SVE through advanced modelling system. Such a modelling system employs a series of stochastic analysis methods to quantify the random features in the subsurface at Cantuar site such as the porosity, hydraulic conductivity and so on. Then, relationships (or functions) between SVE control variables and pollutant concentrations are generated through advance statistical methods. Such functions are incorporated into an optimization framework to identify the optimal remediation strategies and improve the efficiency of SVE. Through this project, SaskEnergy can get insightful view for the pollutant dispersion behaviors at Cantuar site. Moreover, this project can help SaskEnergy recognize the key factors which influence the efficiency of the SVE system. Finally, it will provide potential measures to improve the effectiveness of the SVE system at Cantuar site.

Voir la description complète du projet
Superviseur du corps professoral :

Gordon Huang

Étudiant :

Partenaire :

SaskEnergy

Discipline :

Engineering

Secteur :

Mining

Université :

University of Regina

Programme :

Accelerate

Evaluation of a Multi-Factor Retirement Planning Tool: The Reliability and Validity of the Retireability Score (RS)

Created by senior wealth advisor David Allard, Retireability Score (RS) is an innovative web-based retirement readiness assessment survey that plays an integral part in the retirement planning service operated by the Navigation team of ScotiaWealth. Unlike majority of retirement planning services, which focus exclusively on financial readiness, the RS and its associated program address non-financial aspects of retirement planning that are also important to ensure a satisfying life in retirement. These areas including health, social, and various psychological factors of readiness for retirement. The current project is a scientific evaluation of the RS aiming to improve its content and accuracy. Through analysing existing data on the RS and comparing its content to published scientific literature on well-being in retirement, we will determine whether the RS can accurately measure clients needs for planning in areas that are important to their well-being in retirement. Results from this research will inform future iterations of the RS and help enhance the service quality and cost-effectiveness of the RS program.

Voir la description complète du projet
Superviseur du corps professoral :

Brian O'Connor

Étudiant :

Partenaire :

0909709 BC Ltd

Discipline :

Sociology

Secteur :

Finance and Insurance

Université :

University of British Columbia - Okanagan

Programme :

Accelerate

Appreciating, Empowering, Motivating and Managing Workplace Diversity

This project will aim to improve the effectiveness of the delivery of cultural competency training programs to London Cross Cultural Learner Centre’s clients. In order to achieve this goal, the interns will be involved in clarifying employer needs and preferences, and the marketing mechanism that would be needed to improve delivery efficiency. The research process will involve interviews, focus groups, and reviews of the literature. The project will lay out a coherent, evidence-based set of ideas and propositions to be used by London Cross Cultural Learner Centre to construct an effective delivery system of diversity training programs.

Voir la description complète du projet
Superviseur du corps professoral :

Victoria Esses;Mark Cleveland

Étudiant :

Partenaire :

London Cross Cultural Learner Centre;Western University

Discipline :

Sociology

Secteur :

Education

Université :

Western University

Programme :

Accelerate

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