Projets novateurs réalisés

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

31 620 projets complétés

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856
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98
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Projets par catégorie

Research of the Chemicals of Concern Within the Finished Products Sold by Teknion

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their products’ toxicity and continuing to show their commitment to the Health Product Declaration. In addition, the information provided by this research will facilitate their implementation of current and upcoming chemical management regulations and enable the maintenance of their high environmental and social accountability standards. This research will also provide a useful critical analysis of the current voluntary guidelines and frameworks for acquiring chemical content information of products, which may facilitate Teknion’s future investigations of their products’ chemical content.

Voir la description complète du projet
Superviseur du corps professoral :

Roberta Fulthorpe

Étudiant :

Partenaire :

Teknion Furniture Systems (Ontario)

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Development of High performance and Durable Catalyst Layers for Proton Exchange Membrane Fuel Cells by Focusing on Ionic Phase

Proton exchange membrane fuel cell is in the early stage of commercialization and mass production lies in the cost reduction, increase performance and durability. All of these three challenges interrelated together and mainly related to the proper design for catalyst layer. The proposed research project aims at developing novel catalyst layers structure for dry/low relative humidity operational conditions by focusing on ionic phase of catalyst layers. Catalyst layer is a complex three-phase system include catalyst, catalyst support and ionomer which is responsible for the simultaneous transport of the reactants, products, and charged species, including both electrons and protons. This research proposal will focus on the impact of different ionomer types, ratio and design in catalyst layers on cell performance and durability as ionomer affects the ionic conductivity, catalyst utilization, mass transport, and binding materials, and the amount of ionomer applied can be critical to cell performance and durability.

Voir la description complète du projet
Superviseur du corps professoral :

Samaneh Shahgaldi

Étudiant :

Partenaire :

Hydrogenics;Cummins Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Evaluating the impacts and acceptability of a fresh food prescription program on health, food security, and social connectivity in Guelph, Ontario: A quasi-experimental study

Food security is a serious public health concern in the Guelph region, with prevalence of food insecurity surpassing the provincial and national averages. There is a need for community-based interventions to support individuals and families struggling with food insecurity and related poor nutrition and health. The proposed research aims to evaluate the impacts and acceptability of a fresh food prescription program, in which healthcare providers ‘prescribe’ fresh food to participants and provide them vouchers redeemable for fresh fruits and vegetables through an online delivery service. Within this project, an intern will facilitate baseline and follow-up food security, dietary intake, and clinical health evaluations to determine the impacts of the intervention on food security, fruit and vegetable consumption, self-reported and clinical health measures, and social connectivity. This research therefore evaluates an innovative new model for healthcare that connects patients with non-therapeutic solutions. We expect that this research will contribute important evidence that will improve patient care and alleviate burdens on the healthcare s

Voir la description complète du projet
Superviseur du corps professoral :

Matthew Little;Warren Dodd;Matthew Little

Étudiant :

Partenaire :

Guelph Community Health Centre

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Victoria; University of Waterloo

Programme :

Accelerate

Consistent and Grounded Dialogue Response Generation. Generating responses to dialogues such that the responses are logically and factually consistent with the previous history of the dialogue and supplied external context

Conversational experiences are becoming more prevalent in software applications – from Alexa and Google assistant to Siri and Cortana – though the quality degrades when the automated dialogue agent must refer to or recall specific information. These systems are often forgetful, nonsensical, contradictory, repetitive, or hallucinatory, which impacts the user experience. This project aims to improve the consistency of responses generated by dialogue agents, thereby improving user engagement and trust in the software bot. Microsoft has many conversational experiences embedded in their software and solutions which can benefit from such a solution, like Cortana, Customer Care, Bot Framework, and Azure Cognitive Services.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

Microsoft Canada

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Développement d’un agent de remplacement de l’agar dans une diète pour l’élevage industriel de larves de carpocapse (Cydia pomonella).

Les larves de Carpocapses et de tordeuse oblique du pêcher sont des ravageurs de cultures (pommes, poires et fruits à noyau). BioTEPP produit un biopesticide efficace contre ces derniers dont l’agent actif est un virus produit in vivo sur les larves. Elles sont nourries à l’aide d’une diète artificielle mimant les caractéristiques de la pomme. L’entreprise est dépendante d’un seul fournisseur et celle-ci représente plus de 20 % des coûts de production. L’agar est l’agent texturant de la diète actuelle et est l’une des causes principales du prix élevé de celle-ci. L’objectif du projet est de trouver un agent de remplacement de l’agar dans la diète actuelle des larves permettant de lui conférer des caractéristiques (texturales et rhéologiques) semblables à celles de la diète présentement utilisée. Ceci permettra à l’entreprise d’augmenter sa compétitivité sur le marché en réduisant sa dépendance face à son unique fournisseur, et ce, en plus de réduire les coûts de production.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie Turgeon

Étudiant :

Partenaire :

BioTEPP

Discipline :

Physics

Secteur :

Manufacturing

Université :

Université Laval

Programme :

Accelerate

Automation of the TRCA’s Flood Risk Analysis Network (FRANk)

The Toronto and Region Conservation Authority (TRCA) use FRANk (Flood Risk Analysis Network), as a post storm decision making tool. This tool uses stream and rain gauge data to aid in managing and maintaining erosion control structures that are impacted by flooding events. However, FRANk has limitations, including a time-consuming rain gauge data collection process, and it is currently unable to adequately identify which erosion control structures should be prioritized for inspection and maintenance in a cost effective and timely manner. This three-step project will address these issues by (1) automating the extraction of stream and rain gauge data from the variety of websites that host these datasets, (2) use the automated rain gauge data collection to build suitability maps which show the locations in the TRCA’s jurisdiction that have a heightened likelihood of flooding during rain events, and (3) use the suitability maps to build predictive models which will simulate and predict the extent of future flooding events, focusing on the locations where erosion control structures are situated.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Vaz

Étudiant :

Partenaire :

Toronto and Region Conservation Authority (Vaughan, ON)

Discipline :

Earth science

Secteur :

Professional, scientific and technical services; Public administration

Université :

Toronto Metropolitan University

Programme :

Accelerate

Understanding of Technology Adoptions for Prefabricated Construction for Efficiency and Productivity Improvements

Prefabricated and modular construction has gained popularity compared to traditional stick-built construction, due to its benefits of shortened schedule, increased safety, benefits to the environment, and minimization of an unpleasant outdoor construction activities. In typical prefabricated construction, the building construction project is designed and converted into shop drawings for manufacturing purposes, which are conducted manually or with assistance of automated machinery. Technologies (both digital and machines) can greatly improve efficiency and productivity, and ultimately the profitability for the company. However, for companies to adopt new technologies, they need to understand their existing processes, and build a business case for implementing the new technologies. Furthermore, the organizations need to understand the economic impacts and barriers in the areas of: (1) integration of BIM-based design for manufacturing; (2) impacts of machineries on the production line; and (3) Lean manufacturing-oriented thinking to facilitate the technology implementation. The industry partner is in the process of increasing their production capacity through technology innovations and intend to explore the opportunities in those three areas with the University of New Brunswick (UNB) Off-site Construction Research Centre (OCRC).

Voir la description complète du projet
Superviseur du corps professoral :

Zhen Lei

Étudiant :

Partenaire :

Ironwood

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of New Brunswick

Programme :

Accelerate

Tissue Simulation Speedup

Physics-based simulation has been receiving a great deal of attention as it is of interest for various branches such as the film industry, computer game development, and biomedical research, etc. Especially for the professions that are interested in modeling creatures and producing correlated visual effects such as 3D animation, tissue simulation becomes a principled approach to make an animated character come to life by modeling the deformation of skin and muscle. Currently, the tissue simulation software is robust and full featured, but it is not particularly fast. Improving the speed of the simulator may be the most urgent request from customers and the company’s internal users. The desired outcome is to achieve fast-speed simulation meanwhile maintaining accuracy and robustness so that it can help emerging artists, award-winning studios, and global brands create better results.

Voir la description complète du projet
Superviseur du corps professoral :

David I.W. Levin

Étudiant :

Partenaire :

Ziva Dynamics Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Optimisation du traitement physico-chimique par décantation à floc lesté pour l’enlèvement des métaux d’effluents miniers par méthodologie de surface de réponse

Le partenariat avec l’entreprise a comme objectif principal de répondre à la problématique du traitement des eaux de ruissellement dans un contexte minier. Le projet comporte une extrême variabilité des débits d’effluent à traiter. L’évaluation des solutions d’optimisation se fera en fonction de données réelles. Ce partenariat permettra notamment d’améliorer la captation des métaux par l’optimisation du traitement en place par décantation à floc lesté. À terme de la recherche, l’usine de traitement sera en mesure de fonctionner à sa pleine capacité par une optimisation de son fonctionnement selon divers critères techniques, économiques et environnementaux. L’approche proposée permet de valider les paramètres ayant un réel impact maximal sur la qualité de l’eau rejetée au milieu récepteu

Voir la description complète du projet
Superviseur du corps professoral :

Hubert Cabana

Étudiant :

Partenaire :

FNX-INNOV

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

Université de Sherbrooke

Programme :

Accelerate

Energy and exergy analysis of refrigeration systems for refrigerated cabinets

Major efforts have been undertaken to reduce ozone depletion substances (ODS) used in refrigeration systems such as hydrofluorocarbons (HFC). Carbon dioxide (CO2) is recognized as safe, economic and environmentally sustainable. Commercial transcritical CO2 (R744) refrigeration systems have emerged as leading technologies in food retails, especially in cold climate countries. Major research and development challenge is undergoing to increase the performances of R744 cycles in order to compete energetically with HFC based systems. Hence, it is of prime importance to develop a numerical tool and analyze data measurements for the purpose of characterizing the performance of R744 refrigeration food cabinets in Canada. Then, a further analysis of the cycle configuration, operating conditions and design parameters are deemed necessary to optimize its performances. This project aims at developing a numerical tool validated by experimental measurement in order to predict and optimize the performances and operation conditions of CO2 transcritical refrigeration cycles.

Voir la description complète du projet
Superviseur du corps professoral :

Sébastien Poncet

Étudiant :

Partenaire :

Arneg Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

Dosage of admixture for 3D printing based on optimization

Many chemicals can be used for the mix design of concrete 3D printing. With a traditional experimental approach, the number of experiments to conduct is exponential. The objective of this study is to develop a cement-based material suitable for 3D concrete printing applications by utilizing optimization and predictive algorithms. The question to answer is if the artificial intelligence can add value in the mix design by reducing the material and time required to develop a mix with the desirable properties. After collecting enough data in the lab, a predictive algorithm will be developed to predict the properties of the mixes. The optimization algorithm will then rely on the predicted values until the desired composition is obtained.

Voir la description complète du projet
Superviseur du corps professoral :

Claudiane Ouellet-Plamondon

Étudiant :

Partenaire :

Master Builders Solutions Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

An end-to-end IoT framework for reliable remote and contactless measurement of biometric data

Veyetals online smartphone-based application that can be downloaded through the Apple Store or the Google Play Store. It uses Remote Photoplethysmography (rPPG) technique to extract Blood Volume Pulse (BVP) signal from a face video captured using smart phone camera, and then applies multiple computational algorithms to measure heart rate, heart rate variability, oxygen saturation, and stress level from the BVP signal. In the proposed multidisciplinary research project, Queen’s researchers will collaborate with the industry partner to enhance the Veyetals platform to add new capabilities such as body temperature and blood pressure measurement and increase its overall performance and accuracy. New face video and signal processing techniques will be developed to improve signal extraction, remove noise, and apply advanced error handling routines to enhance the robustness and reliability of the Veyetals application. The improved Veyetals application can be used for public health monitoring, at care facilities, or for providing online medical advice through services such as YourDoctorsOnline where doctors can obtain patients’ vital signs to provide a diagnosis. The proposed work will greatly increase the performance and business value of the Veyetals application and leverage remote health care services in Ontario and around the globe through online health care platforms.

Voir la description complète du projet
Superviseur du corps professoral :

Farhana Zulkernine

Étudiant :

Partenaire :

MarkiTech

Discipline :

Computer science

Secteur :

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

Université :

Queen's University

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.