Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Topology optimization of UAV components

Unmanned aerial vehicles (also known as drones) constitute a sector of the Canadian aerospace industry that is growing very rapidly. Because there is a broad range of applications for drones, there is also a wide variety of drone configurations. This, coupled with the small size of drones, leads to a scarcity of convenient rules-of-thumb and guidelines for the design of drone structures. In addition, because of the small size of drones, small reductions in the mass of a drone structure lead to relatively large proportional increases in drone payload. This project will use a computational optimization technique, topology optimization, to generate efficient structural designs for the drone configuration being constructed by Drone Delivery Canada, the industrial partner for this project.

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Faculty Supervisor:

Craig Steeves

Student:

Partner:

Drone Delivery Canada

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

University of Toronto

Program:

Accelerate

Développement d’un système d’aide à la décision thérapeutique pour un traitement chirurgical du genou par le biais de données de capteurs inertiel

L’objectif global du projet est de développer un système d’aide à la décision médicale pour aider les médecins à déterminer si un patient souffrant d’arthrose du genou est un candidat ou non pour une chirurgie de remplacement articulaire. Ce système d’aide à la décision sera basé sur des données objectives enregistrées lors d’une tâche de marche sur tapis roulant. Plus précisément, ces données représentent des mouvements tridimensionnels des os du genou. Ce système d’aide à la décision thérapeutique permettra potentiellement de réduire le grand nombre de patients en attente pour consulter un chirurgien orthopédiste et de les diriger vers une prise en charge plus adéquate. Le projet a aussi comme bénéfice d’aider à simplifier les évaluations de la fonction du genou via la technologie KneeKGTM du partenaire EMOVI.

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Faculty Supervisor:

Neila Mezghani;Rachid Aissaoui;Nicola Hagemeister;Rachid Aissaoui;Neila Mezghani

Student:

Partner:

Emovi Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

École de technologie supérieure; Télé-Université

Program:

Accelerate

Risk factors for poor fertility on free-stall farms with and without the use of automated activity monitors in southern Brazil

Through this project, we aim to determine on-farm factors that may effect the fertility of farms which use automated activity monitors (AAM) within their reproductive management in southern Brazil. AAM are technologies that monitor the physical activity of cows to try to detect when the cow comes into estrus. These technologies are becoming more important to the dairy industry as the use of hormone fertility treatments are becoming viewed as less appealing to consumers. We hypothesize that farms that use AAM will have higher fertility than those relying on observed estrus but similar fertility than those that use timed artificial insemination (TAI). Additionally, we believe that the environment where the cow is housed and its physical health will have effects on fertility, where herds with high lameness and leg injuries will have compromised fertility. Furthermore, we hypothesize that the factors that affect farm fertility will be different for farms whose reproductive management strategies are focused on the use of AAM in contrast to TAI based programs.

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Faculty Supervisor:

Ronaldo Cerri

Student:

Partner:

Federal University of Santa Catarina - to merge

Discipline:

Life Sciences

Sector:

University:

The University of British Columbia

Program:

Globalink Research Award

Ergo4all (ANALYSE DE LA POSTURE ET RÉTROACTION À L’USAGER DE DHM)

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et minimisant les risques pour la santé des travailleurs. Il apparaît donc utile de concevoir les logiciels de DHM en tenant compte des caractéristiques et exigences (i.e., conception centrée sur l’opérateur humain) de leurs utilisateurs, lesquels sont en grande majorité non ergonomes. L’analyse des postures est l’une des analyses de bases en conception ergonomique de situations de travail et la mauvaise posture de travail est reconnue comme l’un des facteurs de risques des blessures les plus coûteuses pour les milieux de travail, soit les troubles musculosquelettiques (TMS). L’objectif du projet consiste à développer et à tester avec des usagers types une méthode d’analyse des postures intégrée au logiciel de DHM susceptible de mieux les supporter durant leur processus de design.

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Faculty Supervisor:

Daniel Imbeau

Student:

Partner:

Dassault Systèmes

Discipline:

Engineering

Sector:

Aerospace; Automotive; Technology

University:

École Polytechnique de Montréal

Program:

Accelerate

Comparaison de l’efficacité de décontamination d’éléments traces métalliques de 8 combinaisons symbiotiques plantes-mycètes-bactéries

L’objectif du projet est d’explorer une méthode de décontamination alternative sur un site contaminé au mercure dans la région de St-Hyacinthe. Cette méthode, appelée mycorhizoremédiation, exploite le potentiel de la symbiose entre les plantes, les champignons (mycorhizes) et les bactéries, et peut être efficace pour une grande variété de contaminants. Elle permettra de ramener les niveaux de contamination en deçà des normes acceptables pour la sécurité humaine les sols à moindre coût et avec un impact écologique considérablement moindre que les méthodes courantes. La mycorhizoremédiation, versatile et adaptative, s’annonce comme une façon économique et écologique de réhabiliter puis valoriser de nombreux lots vacants, en ville comme en milieu rural.

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Faculty Supervisor:

Alfred Jaouich

Student:

Partner:

Enutech

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Dynamique de l’accroissement d’érablière à la suite de coupes de jardinage

Ce projet de recherche porte sur la productivité des érablières à la suite d’une coupe partielle. Une analyse approfondie des caractéristiques des arbres et des peuplements avant la coupe sera faite afin de déterminer celles qui sont associées à une réaction de croissance positive après la récolte. Le même exercice sera répété afin de déterminer les liens qui existent entre les caractéristiques des arbres avant la coupe et la mortalité précoce de certains arbres. Les résultats de ce projet aideront les aménagistes à sélectionner les bon arbres lors d’une coupe partielle afin d’optimiser la productivité des forêts et par le fait même, optimiser les retombées économiques à long terme.

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Faculty Supervisor:

David Pothier;Alexis Achim

Student:

Partner:

Domtar (Windsor, QC)

Discipline:

Earth science

Sector:

Agriculture; Manufacturing

University:

Université Laval

Program:

Accelerate

Cost, Energy and Hygrothermal Performance Optimization of Building Envelope Systems for Net-Zero-Ready Buildings

This research will help Innovation Building Group to optomize design details for proposed net-zero energy buildings in Golden, BC. The focus of the research is on comparing the costs of envelope design details with the expected energy savings. This will allow the most economical decisions to be made, which will mean that the best building can be built for the budget. We will accomplish this by creating an energy model of the base building. Details will be changed one by one, and the resulting change in total energy use can be attributed to the design detail. An example of a research goal is to determine the type and thickness of insulation in the walls which will deliver the largest net benefit. The research will also include examining the durability of the recommendations, and the recommended wall systems will be tested for moisture performance.

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Faculty Supervisor:

Fitsum Tariku;Bo Li

Student:

Partner:

Innovation Building Group Inc

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

British Columbia Institute of Technology

Program:

Accelerate

In-silico identification of driver alterations and prediction of therapeutics targeting actionable drivers in prostate cancer

Cancer arises as a result of deleterious aberrations in the DNA, RNA and proteins of cells. The accumulation of genetic abnormalities, over lifetime, perturbs critical functions of cells, which may ultimately give rise to tumor. However, vast majority of these aberrations are not essential and only small fractions, known as “driver” genes, are critical for tumor growth. Identification of driver aberrations is a challenging task, but is critical for optimal cancer management. Prostate cancer (PCa) is the most common cancer to affect Canadian men. Our laboratory has access to the DNA and RNA sequences of PCa patients. Using advanced mathematics and computer science techniques, we propose to establish linkage between driver genes and tumour viability and thus reveal novel biological insights to therapeutic strategies. The identified driver genes will represent new candidates for actionable therapeutic targets. This will guide the selection of appropriate drugs and development of new ones. Thus this work will further aid in the development of new strategies in precision cancer medicine for PCa.

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Faculty Supervisor:

Colin Collins;Cenk Sahinalp

Student:

Partner:

Prostate Cancer Foundation BC;iProgen Biotech Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

An antioxidant nutraceutical from apple peels

Exposure to diagnostic imaging techniques such as X-ray and CT scan could cause DNA damage in our body leading to cancer. We wish to develop a unique antioxidant formula to avoid the risk of cancer. Apple peel has some unique and strong antioxidants called flavonoids. Our aim of this project is to examine whether apple flavonoids could contribute to the protection against DNA damage. We will use a carcinogen-induced experimental method using human cells to assess test compounds for protecting DNA damage. The will compare the effect of apple flavonoids to other commercially available antioxidants as well. The expected outcome is to develop a pill using apple flavonoids.

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Faculty Supervisor:

Vasantha Rupasinghe

Student:

Partner:

9165878 Canada Inc;Apple Valley Foods Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Agent TALStat

Amélioration des performances et du processus de mise-au-point d’agents virtuels (AV) selon une approche hybride combinant du traitement automatique de la langue ou TAL (natural language processing), de l’apprentissage statistique (machine learning) et du génie cognitif à base de règles (les outils et API de Coginov). Notamment, nous expérimenterons l’utilisation de synonymes en contexte et l’amplification des données textuelles pour fins de traitements statistiques.

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Faculty Supervisor:

Gilbert Paquette;Neila Mezghani

Student:

Partner:

Coginov Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Télé-Université

Program:

Accelerate

Testing Erosion Prediction Tools in the Simonette River Watershed, Northern Alberta

This project aims to provide real-world, verifiable estimates of impacts to watersheds from usage of back-country logging and resource roads. fRI in partnership with the University of Alberta, MiTACS and Canfor is testing computer-based tools developed in the United States to apply them to watersheds in Alberta. Given the different geography, soil types, and relief in Alberta, these tools may need to be refined to reflect the unique conditions present in our foothills natural region. The outcome of this project will be a better understanding of resource road impacts, and a suite of tools suited to reduce the impacts of resource road usage on surface water quality and fish habitat.

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Faculty Supervisor:

Axel Anderson

Student:

Partner:

Canadian Forest Products Ltd

Discipline:

Engineering

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

High Speed Determination of Tulip Bulb Pose Using Computer Vision

The cost of labour makes up almost a third of the operating costs for greenhouse, nursery and floriculture operations. Many growers are seeking ways of automating labour intensive processes to reduce their exposure to increasing minimum wages and shortages of available labour. Planting flower bulbs is an example of one such process. The main barriers to developing an automated system are: identifying the bulbs with computer vision despite significant variations in size and shape within flower species; determining the bulb pose so that the bulbs can be planted pointed end up for consistent growth; operating fast enough to replace multiple workers and stay cost-effective; and visually checking for bulbs that are rotten or moldy. The researchers will need to evaluate existing sensors and computer vision techniques, and then adapt them to perform this task. The partner organization will benefit from the project through the potential commercialization of the developed system.

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Faculty Supervisor:

Gary Bone

Student:

Partner:

Vineland Research and Innovation Centre

Discipline:

Engineering

Sector:

Agriculture and Food; Advanced Manufacturing

University:

McMaster University

Program:

Accelerate

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