Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Caractérisation de l’application du procédé de soudure par ultrasons à la fermeture des sacs en polypropylène tissé

Au cours de ce projet, nous souhaitons fermer des sacs en plastique utilisés pour l’industrie agroalimentaire et l’agriculture. Les problèmes principaux du sujet sont d’une part la méthode de fermeture, qui consiste à faire partiellement fondre la matière grâce à des ondes sonores à hautes fréquences transmisses précisément à la matière. Et d’autre part il y a l’influence de la structure des sacs, composés d’un matériau spécifique tissé, enduit et traité en surface et dont la surface peut être recouverte de salissures. De fait, l’application de ce procédé sur ce type de matériau est problématique car il dépend d’un nombre conséquent de facteurs et de paramètres difficilement contrôlables et différents selon les cas de figure étudiés. Nous souhaitons donc maîtriser et mieux appliquer ce processus industriel pour l’utiliser efficacement en production. Nous souhaitons baser notre étude principalement d’après des données et résultats expérimentaux.

View Full Project Description
Faculty Supervisor:

Jean Brousseau;Nicole Demarquette

Student:

Partner:

Premier Tech Systèmes Automatisés

Discipline:

Engineering

Sector:

Technology; Agriculture and Food

University:

Université du Québec à Rimouski

Program:

Accelerate

Quantifying diaphragm perfusion in humans: A novel application of contrast-enhanced ultrasound

As oxygen demand increases (e.g., exercise), the availability of oxygen decreases (e.g., high altitude) or cardiopulmonary function is impaired (e.g., respiratory disease), our cardiopulmonary system works at a greater percentage of its maximal capacity to supply oxygenated blood to tissues. Currently, there is no reliable way of determining the blood flow to the respiratory muscles. The current technique (near-infrared spectroscopy with injectable dyes) has conflicting data and limitations which hinders our understanding of respiratory muscle blood flow. We aim to develop, validate, and assess the reliability of blood flow within the respiratory muscles using ultrasound with an injectable contrast agent. This project is expected to benefit Kent Imaging Inc. as it develops video analysis of blood flow which might be able to be applied to future medical imaging devices.

View Full Project Description
Faculty Supervisor:

Glen Foster

Student:

Partner:

Kent Imaging Inc.

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia - Okanagan

Program:

Accelerate

The role of fluid-rock reactions on gold-endowment at the Meliadine gold district, Nunavut, Canada: a sulfur isotope study

Orogenic gold deposits, i.e., those consisting of veins associated with ancient faults, represent the major source of gold in Canada, but these deposits form very difficult exploration targets. Gold is one of the most profitable commodities in the Canadian mineral industry, directly contributing to the overall wealth of remote communities. Therefore, the development new and more effective methods to find such gold deposits are in critical need by the mineral industry to reduce exploration costs, risks, and impacts. This project seeks to address this urgent need, by developing and testing of sulfur isotope vectoring to ore. Sulfur isotopes are a highly sensitive tool to trace where potentially auriferous fluids interacted with wall rocks and left a chemical footprint. By understanding their complexity at a variety of scales within the Meliadine gold district, located in Nunavut, it may be possible to vector towards endowed gold lodes, integrating sulfur isotopes into the exploration approaches available to the industry.

View Full Project Description
Faculty Supervisor:

Crystal LaFlamme

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Earth science

Sector:

Mining

University:

Université Laval

Program:

Accelerate

Scale-up synthesis and commercialization of poly(3-alkyltellurophenes)

Polytellurophenes are an emerging class of semiconducting polymers showing promises in organic electronics. However, their commercial potentials are still held back by the synthetic scale. In this collaborative efforts with 1-materials, we aim to develop a synthetic strategy to produce polytellurophenes from a laboratory scale to a pilot scale to meet the increasing market demands. The synthesis will be scale up to produce 500 mg and 2.5 g polytellurophenes in one single batch at Stage 1 and Stage 2, respectively. A thorough assessment of safety, efficacy, and economic factors in both stages will be performed. This is an opportunity for the partner to bring this cutting-edge material to the public market. Polytellurophenes have the potentials to become one of the partner’s feature products.

View Full Project Description
Faculty Supervisor:

Dwight Seferos

Student:

Partner:

1-Material Inc

Discipline:

Physics

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Understanding the performance of pulse and cereal flours of varying particle sizes at high heating temperatures using Rapid Visco Analyzer 4800

In this project, the intern (Dr. Dong-Jin Lee; Postdoctoral Fellow) will work at the University of Saskatchewan and at the R&D facility of our industry partners ? Pulse Crops (Canada) Association and PerkinElmer Health Sciences Canada Inc. ? to control the milling processes of selected Canadian pulse and cereal crops to prepare “fine”, “medium”, and “coarse” flours and then measure the functional properties of the obtained flours. Most importantly, the pasting and gelling performance of the pulse and cereal flours of varying particle sizes will be evaluated over cooking temperatures of 95-140°C. Our collaborative research will lead to new knowledge and technologies meaningful for creating new flour ingredients from Canadian pulses and cereals for more diverse food applications, especially in high-temperature food processing (e.g., canning, extrusion, and jet-cooking). Furthermore, the new findings will be valuable for the agri-food sector to explore the possibility of including Rapid Visco Analyzer 4800 to support their ingredient innovation efforts.

View Full Project Description
Faculty Supervisor:

Yongfeng Ai

Student:

Partner:

Pulse Canada;PerkinElmer (Winnipeg, MB)

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

Feature selection Impact on Models’ Performance

Data is rapidly growing in most of the applications and fields. Thus, data is becoming big data as it meets the 5V model of big data: volume, velocity, variety, veracity, and value. As a result, dimensionality reduction and feature selection become mandatory to overcome ML models’ performance and explainability issues. This project looks at feature selection as a crucial step in the preprocessing data phase and reducing the number of features to be considered by an ML model and, in turn, reduces the complexity of the problem.

View Full Project Description
Faculty Supervisor:

Jian Tang

Student:

Partner:

NASDAQ Canada Inc

Discipline:

Computer science

Sector:

Finance and Insurance; Health and Related Sciences & Technology; Information and Communications Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

Impact des pratiques de gestion pré-abattage sur la qualité des carcasses de veaux de grain

Le CDPQ en collaboration avec les Producteurs de bovins du Québec est à développer ces dernières années une expertise dans les secteurs de l’évaluation des pratiques d’élevage en lien avec la qualité de la viande de veaux de gains. La qualité de la viande de veaux (pH, rétention d’eau, couleur) montre des écarts entre animaux ce qui peut réduire l’ouverture sur certains marchés. Les éleveurs et les abattoirs veulent mieux comprendre les sources de variation et tenter de réduire l’écart de qualité en évaluant la
gestion des veaux à la ferme lors du chargement, du transport, du déchargement et du processus menant à l’abattage en observant les caractéristiques environnementales et temporelles pouvant avoir une influence sur la qualité de la viande. L’objectif de cette recherche est donc de mettre en relation les conditions et la gestion pré-abattage des veaux avec les qualités de viande observées afin déterminer quelles conditions ou quels modes de gestion affectent significativement l’homogénéité de cette qualité de la viande.

View Full Project Description
Faculty Supervisor:

Frédéric Guay;Dany Cinq-Mars;Jamie Ahloy Dallaire

Student:

Partner:

Centre de développement du porc du Québec

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Développer des spécifications techniques pour les services écosystémiques fournis par les arbres urbains au Québec

Les arbres urbains assurent des services écosystémiques de grande importance pour les communautés urbaines dont la séquestration du carbone et la captation des polluants atmosphériques. Toutefois, dans le but d’améliorer les pratiques de verdissement en milieu urbain, il importe de quantifier adéquatement l’efficacité des différentes essences d’arbres à fournir ces services écosystémiques. Pour ce faire, certains logiciels existent à l’heure actuelle, mais ne sont pas suffisamment calibrés pour le contexte des forêts urbaines canadiennes. C’est en partie afin de combler cette lacune que le CERFO, l’Université Laval et l’UQAM s’associent dans le cadre de ce projet pour développer des spécifications techniques pour les principales essences d’arbres plantées dans les ville québécoises (ex : kg de carbone capté par arbre par année). Ce projet contribuera au développement d’un logiciel Québécois pour quantifier les services écosystémiques en plus d’avancer nos connaissances sur les bénéfices des arbres en milieu urbain.

View Full Project Description
Faculty Supervisor:

Alain Paquette;Alison Munson;Steeve Pepin

Student:

Partner:

Centre d'enseignement et de recherche en foresterie de Sainte-Foy inc

Discipline:

Life Sciences

Sector:

Agriculture; Professional, scientific and technical services

University:

Université du Québec à Montréal; Université Laval

Program:

Accelerate

Evaluating the responses of vascular plant phenology to climate change in the Canadian Arctic from an evolutionary perspective

The Arctic climate is changing three times faster than any other eco-region in the world. As the climate warms, flowering times of many species are shifting which can affect plant productivity and reproductive success. Flowering time responses to climate change among species is diverse. The diversity of responses has implications for tundra plant community structure including altered community composition and food web interactions. This project aims to identify categories of Arctic plant species that are most at risk from climate change and those that will benefit the most from climate change. Natural history records of flowering times and modeled climate data will be used to determine how different categories of Arctic plant species are responding to climate change. This work can inform conservation management of protected areas in Arctic Canada by identifying plant species that may need protection and those that should be monitored more closely.

View Full Project Description
Faculty Supervisor:

Heather Kharouba;Greg Henry

Student:

Partner:

Canadian Museum of Nature

Discipline:

Life Sciences

Sector:

Life Sciences (not health); Sustainability & the Environment; Education

University:

University of Ottawa

Program:

Accelerate

Discovering causal variants controlling ripening period, phenolic content and softening during storage in apple (Malus domestica).

Apples are among Canada’s most valuable fruit crops, and the improvement of apple varieties is crucial for the success of the industry. Breeding apples is expensive and time consuming, requiring decades of investment. A better understanding of the relationship between genetics and fruit traits will allow for more efficient breeding. Current apple breeding techniques make use of genetic markers, but these markers are of limited use. Identification of the causal DNA directly controlling fruit traits will enable more efficient breeding methods and the creation of new apple varieties through genome editing. The proposed research aims to identify the causal DNA responsible for ripening period, nutritional content and softening in apples. DNA from apple trees exhibiting the most extreme manifestations of these traits will be pooled, sequenced and compared to determine which alleles are responsible for each trait. Partner organizations I-INC and iBoost will benefit from this project by contributing to innovation and technology development in Canada, and by cultivating growth within the nation’s biotechnology industry.

View Full Project Description
Faculty Supervisor:

Sean Myles

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Applications of tensor neural networks to financial forecasting in incomplete markets

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods.
We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly and can be unstable.
Our original contribution is to use Tensor Networks to improve this Deep Learning model. Tensor Networks are known to give an advantage when training Neural Networks, and allow for more robust training, even when the market data is incomplete.
The partner will benefit from this project by developing their software stack to tackle this commercially valuable problem.

View Full Project Description
Faculty Supervisor:

Chi-Guhn Lee

Student:

Partner:

Multiverse Computing

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Exploring leadership development for women and girls: challenges and opportunities to diversify the culture of Canadian sport

The proposed research will explore the leadership development of girls and women through sport. A leadership development program will be designed, implemented, and evaluated with Jumpstart, providing their organization with an evidence informed program and an understanding of participant experiences in the program, which can inform future work done by the organization. Interviews will also be conducted with women who currently occupy a leadership role in Canadian sport to explore how sport influenced their leadership development and learning. Key learnings will be extracted and used to inform the creation of a model of leadership development through sport for women and girls.

View Full Project Description
Faculty Supervisor:

Penny Werthner

Student:

Partner:

Jumpstart

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Calgary

Program:

Accelerate