Projets novateurs réalisés

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

31 620 projets complétés

2978
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5221
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856
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696
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899
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9419
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9858
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98
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619
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1192
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Projets par catégorie

Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 decline and find the genetic variants that affect these FEV1 changes. Some variable selection machine learning algorithms will be applied to screen important genetic variants and the performance of prediction on FEV1 change will be compared. The multi-SNP prediction model can be used to classify individuals who are expected to have a rapid decline of FEV1 based on their genetic information. These pre-screened patients can be targeted for frequent medical examinations.

Voir la description complète du projet
Superviseur du corps professoral :

Xuekui Zhang

Étudiant :

Partenaire :

Providence Health Care

Discipline :

Mathematics

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

A Study on Information Diffusion Systems

In this project, a model interpreted by a differential equation system is developed to
study two-innovation diffusion. We will examine stability, developing tendency,
distribution, bifurcation and other properties of the system depending on different
model parameters. We will also investigate the corresponding discrete forms of the
system and compare the obtained results. Both approaches of mathematical analysis
and numerical simulations by computer programming will be applied. The model can
be applied to various practical circumstances in marketing, information diffusion etc..
For instance, profit optimization in the partner company can be studied using similar
approach but with real world data analysis. The outcome can provide inside for the
Infer Engine system.

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Superviseur du corps professoral :

Wenying Feng

Étudiant :

Partenaire :

InferSystems

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

Trent University

Programme :

Accelerate

A Novel Methodology for Online Measurement of Fly Ash Degradation of Amine Solutions

Solvent degradation in carbon capture plants due to the influence of fly ash is very costly and requires frequent replacement of the solvent used. Solvent replacement cost is the main hurdle to the deployment of Carbon Capture and Sequestration technologies. The proposed online analytical method would be a great tool in managing daily operations of the plant. It can also be used in troubleshooting operations, and in deciding on the optimum time for plant maintenance. Information about fly ash’s effect on solvent degradation is very scarce and no data is available from actual plant operations. If successful, this technique will allow for the collection of data and correlate them to other plan operational issues. This study will provide valuable information necessary for operating cost optimization of the flue gas cleanup, including further particulate removal versus the cost of amine management.

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Superviseur du corps professoral :

Amr Henni

Étudiant :

Partenaire :

The International CCS Knowledge Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

The Black Equity in Alberta Rainforest (The B.E.A.R)

Anti-Black racism presents a major barrier in the social participation of African Caribbean Black (ACB) Canadians in civic leadership, arts and culture, and employment, as well as barriers to justice as negative relationships are created between communities and criminal justice systems. Resulting barriers and negative relationships are structural drivers of health inequity. In response, the Black Equity in Alberta Rainforest (B.E.A.R) is being developed as a vast network of key stakeholders to understand root causes of ACB related health inequity. The B.E.A.R is a comprehensive multidisciplinary applied research project to achieve Black related health equity using several innovative approaches to develop sustainable real solutions to systemic barriers to employment, justice and social participation. We believe there are deep lessons to be learned by the Ribbon Rouge Foundation, Alberta, and the world from applying this approach to understanding racialized health inequity.

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Superviseur du corps professoral :

Jan Selman;Erika Goble;Joseph Osuji;Shingirai Mandizadza;Viola Manokore

Étudiant :

Partenaire :

Ribbon Rouge Foundation

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

NorQuest College; University of Alberta

Programme :

Accelerate

Machine Learning for Increasing the Speed and Quality of Service in Online Medical Services

Telehealth/Telemedicine covers a variety of medical services offered through media such as telephone, email and the internet. As technology evolves, these online medical services can be further enhanced to improve the user experience. In this project, we aim to focus on a particular set-up where the patients interact with doctors over a chat service. The chat service employs a number of doctors with varying specialties, and at any time during a doctor’s work hour, he/she might interact with up to five patients concurrently. Accordingly, it would be essential to improve the flow of information between doctors and the patients. We aim to employ natural language processing and machine learning based approaches to improve the user experience in chat services. Further, we plan to investigate time series prediction methods for predicting the volume of patients requesting chat services over a given period of time.

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Superviseur du corps professoral :

Mucahit Cevik

Étudiant :

Partenaire :

Your Doctors Online

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

Toronto Metropolitan University

Programme :

Accelerate

Work, Family, Life During the COVID-19 Pandemic

The COVID-19 pandemic is a rapidly evolving, dramatic health crisis. Daily, the numbers are rising of people infected with, and killed by, the novel coronavirus. Due to physical distancing measures put in place to slow the spread of the virus, there are unprecedented work/life situations for thousands of Canadians, particularly those who are faced with the challenge of working remotely while providing care to their children and dependents such as elderly parents. This study, conducted over the course of the COVID-19 pandemic, will collect data from 60-80 adults across Ontario who have both work and care-giving responsibilities. Through an intake survey, followed by weekly phone interviews, researchers will examine their challenges, stressors, and coping strategies throughout the COVID-19 pandemic. Research results will help governments, business, and mental health support organizations better understand the social and human costs of crises such as pandemics.

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Superviseur du corps professoral :

Linda Duxbury

Étudiant :

Partenaire :

Canadian Mental Health Association

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

Carleton University

Programme :

Accelerate

Wine culture in Parthia and Gandhara: Rewriting the Classical Narrative on Dionysus in the East

My project aims primarily to understand cross-cultural interactions by investigating the visual and material culture pertaining to wine in Ancient Parthia (Iran/Syria) and Gandhara (Pakistan/Afghanistan) from the 2nd century BCE to the 2nd century CE. Art historical and archaeological scholarship on the topic has tended to focus on substantiating Classical influence on Eastern art in the aftermath of Alexander’s conquest of Persia and the resultant accelerated contact between west and east. Consequently, wine production and consumption scenes have accounted for one of the larger portions of “proof” used by scholars to assert the dominance of Classical art and culture in the areas of Parthia and Gandhara and to lend support to the theory that there was a rise in popularity of the Greek god of wine, Dionysus, in these regions. As such, my project’s objective is to use the wine-related scenes to critically evaluate Classics-oriented art history and archaeology (initiated in the 19th and 20th centuries) through a post-colonial framework. I propose instead that it is the local wine cultures that fostered cross-cultural interactions between various sites in Parthia and Gandhara, providing another thread connecting these localities independent of the Greek conquest.

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Superviseur du corps professoral :

SeungJung Kim

Étudiant :

Partenaire :

School of Oriental and African Studies, University of London

Discipline :

Sociology

Secteur :

Other

Université :

University of Toronto

Programme :

Globalink Research Award

Development and Characterization of Portland Cement-based SyntheticRock Materials

Rocks are a widely varied class of materials with strengths, elastic constants and other properties
varying by one or two orders of magnitude, ranging from the weakest to the strongest rock types. As
well, within any given rock mass, properties can be heterogeneous and isotropic, and can vary with
both position and orientation within the same formation. The use of natural rock materials for
experimental geomechanics studies in oil and gas at Memorial University has several difficulties:
Experimental studies require a high degree of reproducibility, and many natural rocks have high
variability even within a small sample volume; and oil and gas reservoirs are found in sedimentary
rocks, and rocks of this type are not local to the onshore portion of Eastern Newfoundland. Concrete
is a material composed of a Portland cement-based matrix and rock aggregate, and has similar
material properties and failure behaviour as low-permeability, sedimentary rocks. The objective of this
internship is…TOBECONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Stephen Butt

Étudiant :

Partenaire :

Pennecon Concrete;Memorial University of Newfoundland

Discipline :

Engineering

Secteur :

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Multiproduct production routing problem under vehicle capacity uncertainty

This project aims at providing new and tractable models and solution procedures to optimize production, inventory, distribution and routing decisions simultaneously. This type of problem, commonly called Production Routing Problem (PRP), is especially important in the context of Vendor Managed Inventory (VMI), in which the supplier manages the inventories of retailers and decides on the quantities of replenishment. The proposed approaches will account for the uncertainty in the vehicle capacity, a setting that has not been studied yet. Moreover, a case study will be performed. We expect to provide the partner organization with models and tools to solve related problems in the field of operations research, which can potentially provide multiple benefits, such as better resource utilization, better service and product quality, and increase in profits.

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Superviseur du corps professoral :

Michel Gendreau;Walter Rei

Étudiant :

Partenaire :

Conseil 2.0

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Développement d’une méthodologie d’analyse en temps réel de l’état des connexions boulonnées d’un simulateur de vol

Les simulateurs de vols sont devenus des instruments indispensables pour former les pilotes et membres d’équipages. Le leader mondial dans la conception de ces simulateurs est CAE, une entreprise Canadienne comptant plus de 10 000 salariées. Cependant, afin de garder une longueur d’avance sur ses concurrents, il est nécessaire de constamment ajouter de nouvelles fonctionnalités aux simulateurs et de rester à la pointe de la technologie.
Pour cette raison, CAE souhaite développer un système permettant de prévoir à l’avance l’endommagement des connexions boulonnées de ses simulateurs et d’informer l’utilisateur qu’une opération de maintenance est nécessaire. Cette fonctionnalité, unique aux simulateurs de CAE, permettra d’éviter des oublis de maintenance, donc de rallonger la durée de vie des simulateurs.

Voir la description complète du projet
Superviseur du corps professoral :

Alain Batailly;Annie Ross

Étudiant :

Partenaire :

CAE

Discipline :

Engineering

Secteur :

Aerospace; Health and Related Sciences & Technology

Université :

Polytechnique Montréal

Programme :

Accelerate

Auditory spatial and memory processing in the blind

Early loss of vision is accompanied by widespread cross-modal changes in the brain, in that ‘visual’ areas of the brain show responses to nonvisual stimuli. This raises the possibility of using the reorganization associated with vision loss to investigate how auditory events may be encoded and retrieved from memory. The proposed project will examine the relationship between vision loss and memory and spatial auditory processing, using both behaviour and imaging methodology. In part 1, we will recruit congenitally blind participants and age-matched controls to an internet-based study in order to assess their memory for sound objects and sound location. In part 2, we will test a subset of congenitally blind individuals on their auditory memory and spatial abilities and relate their performance to previously acquired structural and functional data obtained from these participants. Results from these studies will offer a refined and more general description of brain plasticity in congenitally blind individuals and should provide key features of organizational processes.

Voir la description complète du projet
Superviseur du corps professoral :

Morris Moskovitch

Étudiant :

Partenaire :

University of Oxford

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Technology; Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Globalink Research Award

A Deep Learning Method for Detecting Defaults on Assembly Line

With the advancement of methods based on artificial-intelligence, computer vision and deep learning, activities concerning progress monitoring, safety management, and quality control can be automated that leads to saving in time and cost. With the collaboration with partner industry, computer-vision approaches are going to be employed in order to find an improved method that utilizes new machine learning techniques to detect defaults on prefabricated production line. The results will help with improving the quality level of products and reducing potential project risks. The area is relatively young; especially for construction industry; and a lot of R&D works need to be done in order to increase the efficiency of the current procedures. As the market for AI-based quality monitoring tools is rapidly growing, the results of this study will greatly benefit construction industry by offering a possible improved procedure to detect quality issues in production line.

Voir la description complète du projet
Superviseur du corps professoral :

Ali Motamedi;Daniel Forgues

Étudiant :

Partenaire :

Groupe Canam

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.