Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

AI-Based Approaches to Improve Business Intelligence Solutions

The goal of this project is to improve Business Intelligence solutions to stay competitive in the market. We aim to take the learning efforts off the user’s shoulder using advanced Artificial Intelligence (AI) techniques. We will develop AI technologies to help users answer questions that can be expressed in natural language and use existing data to make decisions while increasing their confidence in their results. We will investigate and develop Natural Language processing techniques to integrate within the Web-based Excel feature of Nectari’s BI software to facilitate its use for non-experts. Augmented analytics tools and approaches to allow interaction with the end-users will be developed to find insights from spreadsheets and to allow users to be involved in the solutions improvement. A methodology to detect anomalies will be developed while providing explanations. An import part of the project will be dedicated also to develop accurate forecasting and budgeting models. The project will consolidate Nectari as an international leader in the development of BI solutions, and will allow to acquire new knowledge for better training of highly qualified personnel.

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Faculty Supervisor:

Nizar Bouguila;Manar Amayri

Student:

Partner:

Nectari

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Concordia University

Program:

Accelerate

Conception et développement d’une plateforme drone hydrographique de surface versatile à faible coûts pour des levés en zones côtières.

La conception et le développement des plateformes drone hydrographique de surface à faible coûts sont pleinement insérés dans les efforts déployés par la communauté Hydrospatiale pour la génération d’un jumeau numérique des océans et des zones côtières. Une telle plateforme se veut versatile. Ainsi, différents professionnels pourront bénéficier d’une telle plateforme pour les levés en différents contextes, notamment dans la surveillance de l’érosion côtière, l’inspection des structures marines, les levés bathymétriques, l’auscultation de l’infrastructure côtière, etc. Cette plateforme drone permettra l’installation de différents capteurs à faible coûts pour l’acquisition des données spatiales (e.g. caméras, LiDAR et sondeurs). L’utilisation d’une telle plateforme drone est surtout requise dans les zones peu profondes qui représentent un risque élevé pour la navigation et par conséquent pour l’acquisition de données spatiales.

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Faculty Supervisor:

Willian Ney Cassol

Student:

Partner:

Le Groupe Océan inc.

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

Université Laval

Program:

Accelerate

Using the Total Focusing Method (TFM) to accurately size flaws for probability of detection (POD) purposes

Hydro-Québec has found that welding flaws induced during the manufacturing of hydraulic turbine runners are prone to fatigue damage. To avoid catastrophic failure, they developed a life estimation model that relies on flaw detection and sizing through non-destructive testing (NDT) inspection procedures. Probability of detection (POD) gives the probability or likelihood that a flaw of a given size will be detected in a part by an inspection procedure; it is used as an indicator of its reliability. POD value is computed through the statistical analysis of inspection data obtained on qualifying coupons. These coupons contain known flaws with a designed size distribution. However, even intentionally fabricated flaws are often not the size and location that the manufacturer intended or documented them to be. On the other hand, recent developments in ultrasonic phased array signal processing indicate that Total Focusing Method (TFM) is a powerful NDT method that can provide accurate flaw sizing information. The current proposal, therefore, aims to validate the use of TFM to accurately size the flaws present in qualifying coupons. In fact, TFM sizing tolerance will be assessed by X-ray micro-tomography and destructive salami slicing.

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Faculty Supervisor:

Martin Viens

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Étude de la capacité des sondes électromagnétique pour la mesure localisée des décharges partielles sur les barres et bobines du stator d’alternateurs

Ce projet a pour but d’améliorer le contrôle de qualité et l’entretien des gros équipements de production d’énergie électrique, soit les grands hydro-alternateurs. Une des parties problématiques de ces équipements est l’enroulement situé dans la partie fixe de la machine, soit le stator. Ce dernier est en effet soumis à des importantes contraintes électriques, mécaniques et thermiques qui peuvent avec le temps causer des bris. Ce projet développera des outils permettant de s’assurer de la qualité de ces composantes ainsi que pour déterminer leur état pour les machines en service depuis plusieurs années, voire plusieurs décennies. Ces outils permettront une meilleure fiabilité et une meilleure planification des opérations de maintenance.

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Faculty Supervisor:

Eric David

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

UBC Precast Design Studio -Exploring Seismic Response of Precast Connections

Mitacs Accelerate has funded the first year of the Precast Design Studio. In this second and third year, the Mitacs intern, Chadia Uwamahoro, will conduct experiments on conventional horizontal connections to understand their cyclic behavior. The test setup and the experimental data will advance the scientific knowledge on the cyclic response of precast concrete shear walls and provide the infrastructure to facilitate the Precast Design Studio in future years. Grouted dowels and welded steel plate connections are being used in the precast industry; however, there is currently no data about their behavior in case of an earthquake. Data from these experiments will influence the industry’s future designs and use of these connections.

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Faculty Supervisor:

Lisa Tobber

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Valorization of agriculture biomass for high-value bioproducts

Agricultural biomass (such as wheat, flax, hemp straw, cereal straws) could be a low-cost feedstock for the production of valuable bioproducts. This will require fractionation of different components of biomass and the conversion of the fractionated components into various bioproducts. The intern will work on optimizing the fractionation process and characterization of bioproducts with an aim to develop application for cellulose, hemicellulose and lignin.

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Faculty Supervisor:

Bishnu Acharya

Student:

Partner:

SIGMA Clermont

Discipline:

Engineering

Sector:

Clean Technology; Agriculture and Food; Sustainability & the Environment

University:

University of Saskatchewan

Program:

Globalink Research Award

Modeling and simulation for predictive building control using high-resolution climateforecasting

The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs Inc. (GPLI) and Dalhousie University propose to use high-resolution climate forecasting at the sub-hourly and building level resolution (e.g. 15 minute, 5 m) to enhance the accuracy of the forecast utilized in predictive building control. In this project, the Post-Doctoral Fellow, in collaboration GPLI, will carry out advanced building performance simulation to determine the energy/cost/greenhouse-gas-emission performance of such technology applied to a range of commercial buildings in a range of climates. This project will benefit GPLI by defining performance and optimal markets as they rollo-out the new high-resolution forecast and predictive building control technology

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Faculty Supervisor:

Lukas Swan

Student:

Partner:

Green Power Labs Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Dalhousie University

Program:

Elevate

Vers une meilleure accessibilité communicationnelle : Identifier les obstacles rencontrés par les personnes vivant avec une aphasie dans les institutions financières

Les personnes vivant avec un handicap communicationnel peuvent rencontrer des défis lors de l’utilisation de certains services dont ceux offerts par les institutions financières. Ce projet vise à établir l’état actuel de l’accessibilité communicationnelle dans les institutions financières au Québec. En questionnant des personnes vivant avec une aphasie et leurs proches ainsi que des employés d’institutions financières, le projet contribuera à identifier précisément les obstacles et limites vécus en lien avec les différents services offerts dans les institutions financières. Le projet permettra de mieux comprendre quelles politiques sont actuellement en vigueur dans les institutions financières et comment les différentes mesures s’actualisent sur le terrain. Une meilleure compréhension de ces deux éléments permettra à court terme de sensibiliser les institutions financières aux obstacles et limites relevés. À moyen terme, des stratégies et moyens concrets, tant au plan humain qu’environnemental, seront proposés et, si ceux-ci sont adoptés par les institutions financières, elles auront un impact positif tangible sur l’expérience vécue par les personnes aphasiques lorsqu’elles fréquentent ces institutions.

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Faculty Supervisor:

Valérie Poulin;Laura Monetta

Student:

Partner:

ARTÈRE Québec

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

En amont de la transformation numérique des PME : l’entrepreneur-dirigeant, un catalyseur d’innovation

Suivant le constat de plus en partagé par les acteurs des écosystèmes d’affaires du Québec que les échecs sont fréquents et les succès souvent timides en matière d’innovation à l’ère numérique, il convient de revenir aux sources. Dans l’objectif d’investiguer les leviers et les barrières qui se dressent au niveau individuel lors d’une transformation numérique en contexte de PME, le projet vise la réalisation d’une revue des écrits scientifiques intégrative des connaissances existantes concernant les personnes qui sont au cœur même des décisions en la matière, soit les entrepreneurs et dirigeants de PME. Grâce à une meilleure compréhension de ce qui se passe en amont de ladite transformation, les contributions attendues sont, à la fois, théoriques et pratiques. Par l’intermédiaire du réseau de l’organisme-partenaire, Économie du Savoir Mauricie (ESM), les connaissances produites seront, en outre, rapidement actionnables par d’autres acteurs clés dont la mission est de collaborer pour soutenir le développement socioéconomique régional.

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Faculty Supervisor:

Claudia Pelletier

Student:

Partner:

Economie du Savoir Mauricie

Discipline:

Business

Sector:

Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Artificial Intelligence (AI) and the Future of Primary Health Care (PHC): A preparation Model

The health system, as a vital part of any society, and the Primary Health Care (PHC) system as its heart play an important and outstanding role in responding to people’s needs. Responding to these demands has always been accompanied by challenges, which will undoubtedly become more serious in the near future with the emergence of new phenomena. Artificial Intelligence (AI) and AI-based technologies are the most prominent ones. It can be said that AI has not only brought challenges to the health system but also created golden opportunities for it. Aachieving benefits from AI implementation in PHC systems is one aspect, and being prepared for sufficient utilization is another aspect. This confirms the importance of being conscious in facing AI implementation and its future changes for the PHC systems. To meet this necessity, this study wants to present a preparation model that can guide PHC systems in implementing AI-based technologies. The study will be done in three phases using an exploratory mixed methods design of qualitative and quantitative research, including systematic reviews, site visits, interviewing PHC professionals and AI health experts, and running the Delphi method for model consensus.

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Faculty Supervisor:

Maude Laberge

Student:

Partner:

Kerman University of Medical Science

Discipline:

Business

Sector:

Artificial Intelligence; Health and Related Sciences & Technology

University:

Université Laval

Program:

Globalink Research Award

Community Grocery Store Model Feasibility Study: Towards Equitable and Culturally Appropriate Food Security in Rexdale

In partnership with the Rexdale Community Hub (RCH), this project involves undertaking a locally-informed feasibility study to assess the viability of a ‘Community Grocery Store’ model that provides affordable, accessible, culturally appropriate food in Rexdale (a Neighbourhood Improvement Area in Toronto). The intern will help train community-members to co-create and implement focus groups and interviews to inform the feasibility study that will consider community needs, ‘prototype’ requirements (e.g. space, staffing, costs, etc.) and desirability, viability and feasibility factors. The intern will coordinate community-based design charrettes to further assess the chosen prototype model and logistical planning, and then assess stakeholders’ reactions during the piloting of the selected prototype. This project will support the RCH’s efforts to help residents and small food retail businesses navigate post-pandemic recovery. The RCH strives to develop local capacity in order to shift from emergency food dependency models towards more community-determined food access alternatives.

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Faculty Supervisor:

Sara Edge

Student:

Partner:

Rexdale Community Hub

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Toronto Metropolitan University; University of Guelph

Program:

Accelerate

Paired-image enhancement for smartphone cameras

This project aims to develop enhancement techniques for high-resolution imaging on smartphone devices. The project will focus on a specific imaging modality where a pair of images are captured in succession: a high-resolution image (108 mega-pixel) and a corresponding low-resolution image (12 mega-pixel). Due to the small pixel size in the sensor used to capture the high-resolution image, the high-resolution image contains significantly more noise than the low-resolution image. Currently, the noise of the high-resolution camera makes images captured in low-light scenes visually unacceptable. This project aims to leverage the information in the pair of images to produce a high-quality, high-resolution image.

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Faculty Supervisor:

David Lindell

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology; New and Digital Media

University:

University of Toronto

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.