Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

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.

Voir la description complète du projet
Superviseur du corps professoral :

Alfred Jaouich

Étudiant :

Partenaire :

Enutech

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

David Pothier;Alexis Achim

Étudiant :

Partenaire :

Domtar (Windsor, QC)

Discipline :

Earth science

Secteur :

Agriculture; Manufacturing

Université :

Université Laval

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Fitsum Tariku;Bo Li

Étudiant :

Partenaire :

Innovation Building Group Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

British Columbia Institute of Technology

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Colin Collins;Cenk Sahinalp

Étudiant :

Partenaire :

Prostate Cancer Foundation BC;iProgen Biotech Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Vasantha Rupasinghe

Étudiant :

Partenaire :

9165878 Canada Inc;Apple Valley Foods Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Gilbert Paquette;Neila Mezghani

Étudiant :

Partenaire :

Coginov Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Télé-Université

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Axel Anderson

Étudiant :

Partenaire :

Canadian Forest Products Ltd

Discipline :

Engineering

Secteur :

Agriculture

Université :

University of Alberta

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Gary Bone

Étudiant :

Partenaire :

Vineland Research and Innovation Centre

Discipline :

Engineering

Secteur :

Agriculture and Food; Advanced Manufacturing

Université :

McMaster University

Programme :

Accelerate

Development of Grid Friendly Net-Zero Energy Houses

This project aims to investigate grid friendly net-zero energy residential buildings. These are buildings that consume as much energy as they produce, on an annual basis. The three proposed subprojects will investigate this concept through both simulation and real-world system monitoring at the TRCA’s Archetype Sustainable House. To begin, the design of highly energy efficient buildings will be examined, using the Passive House Standard as a basis. The optimization of buildings will also be investigated, through a building integrated solar heating and cooling system. Finally, any remaining electricity consumption of the buildings will be offset with the control of integrated grid-friendly renewable energy generation and storage systems. Tied together, this project hopes to help develop sustainable practices, and demonstrate the future of sustainable, net-zero energy residential buildings.

Voir la description complète du projet
Superviseur du corps professoral :

Alan Fung

Étudiant :

Partenaire :

Toronto and Region Conservation Authority (Vaughan, ON)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Public administration

Université :

Toronto Metropolitan University

Programme :

Accelerate

In-depth analysis of furbearer population data: population projections using current data and improvements to harvest data collection policies

This project will explore opportunities for modeling and making better use of harvest data that the Nova Scotia Department of Natural Resources has and continues to collect. The Fur Institute of Canada and the Trappers Association of Nova Scotia support improving the knowledge of harvested species in Nova Scotia. We propose that an in-depth analysis of this information can be used to develop population estimates and improve data collection techniques. Age-at-harvest data are often used to determine population trends and to provide support for management. Multiple models will be developed based on what data is available. Various methods will be applied to the same data and the results will be interpreted together. Long-term frequent monitoring of populations will provide additional data for use in model validation. This will generate information that can be used to influence wildlife conservation and critique current provincial wildlife policies.

Voir la description complète du projet
Superviseur du corps professoral :

Ying Zhang

Étudiant :

Partenaire :

Discipline :

Mathematics

Secteur :

Manufacturing; Other services (except public administration)

Université :

Acadia University

Programme :

Accelerate

Augmented Reality in Surgery

Augmented Reality (AR) is the combination of virtual images with real objects in order to improve perception. It is a rapidly growing field and has many applications in medicine. For this research project we would like to apply AR to the surgical site during a simulated operation in order to provide additional information and improve surgical performance. This will involve making 3D models from CT scan data, setting up a projection system to display those models
into the surgical site and tracking the movement of the organs being operated on to maintain an accurate projection. Surgeons will be recruited to perform a surgical task with and without the AR system in order to measure their performance and receive feedback on their experience with the AR system. This information will aid in the development of new medical technology that assists with surgery as well as exploring how AR affects users whose tasks require great skill and focus.

Voir la description complète du projet
Superviseur du corps professoral :

Pierre Boulanger

Étudiant :

Partenaire :

Zhejiang University

Discipline :

Computer science

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

Implementing and testing the first marine micro-grid system water-to-wire in a remote coastal community on Vancouver Island

Mavi is proceeding with the first commercial micro-grid tidal marine energy system in Canada. A 20-kW Darrius marine turbine will be operated water-to-wire in the remote community of at Blind Channel on Vancouver Island to displace diesel fuel as a source of power. This project will document and assess the first commercial demonstration of a grid connect marine turbine for a coastal community. There is significant interest to have communities reduce their dependence on imported diesel fuel. Distributed generation contributes to the viability and sustainability of such communities. This project will focus on resource assessment, turbine performance, turbine integration with the diesel genset and monitoring of the system. Mavi has tested their hydrokinetic turbine design in partnership with the University of Manitoba at the Canadian Hydrokinetic Turbine Testing Centre (CHTTC) located on the Winnipeg River. Mavi and the CHTTC will now assess the marine turbine performance and reliability in a commercial setting to displace diesel fuel in tidal applications with flows exceeding 3 m/s. This project will provide valuable data on the various aspects of this new marine technology and distributed energy application. The CHTTC will be applying its expertise gathered obtained in a riverine environment and working with MAVI.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Bibeau

Étudiant :

Partenaire :

Mavi Innovations Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

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