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

Comment optimiser les impacts du bâtiment durable en gestion immobilière ?

Ce projet a pour but de fournir aux propriétaires d’immeubles existants une analyse des meilleures pratiques visant à mieux valoriser les impacts d’un projet d’amélioration de la performance environnementale écoénergétique de leurs bâtiments et leur permettant de mieux justifier leur décision d’investir les sommes nécessaires pour le réaliser. Une étude détaillée des meilleures pratiques mises en oeuvre pour valoriser le bâtiment durable a été effectuée suite à l’analyse des 40 entrevues menées auprès de propriétaires et de locataires de 10 immeubles exemplaires situés au Canada, aux États-Unis et en Europe. Pour faciliter le transfert des connaissances et la transition écologique, les partenaires ont été de plus invités à participer à deux ateliers de co-création et ont reçu un document pouvant les guider d’accompagnement pour leurs projets de bâtiment durabl

Voir la description complète du projet
Superviseur du corps professoral :

Andrée De Serres;Hélène Sicotte;Ahlem Hajjem

Étudiant :

Partenaire :

BOMA Quebec;Aéroports de Montréal;Fonds immobilier de solidarité FTQ Inc

Discipline :

Business

Secteur :

Other services (except public administration); Real estate and rental and leasing

Université :

Université du Québec à Montréal

Programme :

Accelerate

Mitigating Ship Strike Risk in Southern Resident Killer Whale Habitat

The number and size of commercial ships transporting goods to and from ports in the Salish Sea continues to grow. Additionally, there are considerable industrial developments being planned in the region, including a major port expansion, and an oil pipeline terminal under consideration. These trends suggest more ship traffic, and with this comes an increase to cetaceans in the risk these vessels pose for collisions. Key amongst these cetaceans is the endangered population of 76 Southern Resident killer whales (SRKW), for whom much of their designated critical habitat overlaps with these shipping lanes. The aim of this MITACS proposal is to collate data from different existing acoustic hydrophones operating in the Salish Sea, as well as visual observer data from experts in the field to develop an advance warning system of potential ship-SRKW overlap. The spatial and temporal SRKW data from the region will serve as the foundation for how best to build a real-time movement model for an advance warning system predicting the location and direction of movement of any SRKW in or towards a ship’s path, thus allowing time for pilots to reduce ship speed and adjust their path.

Voir la description complète du projet
Superviseur du corps professoral :

Jeremy Venditti;Ruth Joy

Étudiant :

Partenaire :

SMRU Canada Ltd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Requirements management and lab testing of optical breadboard hardware for satellite systems

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100 – 150 words) A series of Mitacs interns will be testing the capability of a range of sub-components and prototype systems to meet the performance requirements for an optical satellite communications terminal for deployment on low-earth orbit. Over the course of the project, the interns will successively march closer and closer toward the design of a functional and cost-competitive solution. Tests, which may commence under static conditions and at standard temperature and pressure, will increasingly be used to confirm system performance in the harsh environments it will face, such as high vibration at launch and wide temperature fluctuations and exposure to vacuum on orbit. A successful conclusion to the project will help position Honeywell to secure a significant share of the burgeoning market related to the transformation from the use of small numbers of large geo-spatial satellites to handle communications applications, to the deployment of constellations of hundreds of low-earth-orbit satellites.

Voir la description complète du projet
Superviseur du corps professoral :

Ilya Golub

Étudiant :

Partenaire :

Honeywell Canada (Kanata, ON)

Discipline :

Engineering

Secteur :

Information and Communications Technology; Aerospace; Quantum Science

Université :

Algonquin College

Programme :

Accelerate

Probiotic treatment of mothers influences maternal care: Implications for postpartum hormone regulation and offspring stress resiliency

Probiotics are a form of good bacteria that have been shown to have health benefits in offspring that have been exposed to early life stress. One such form of early life stress that has a lasting impact on offspring stress resiliency is poor maternal care. Based on unpublished research from our laboratory, we have found that probiotics have a positive impact on the quality of a mother’s care towards her offspring.

Voir la description complète du projet
Superviseur du corps professoral :

Tara S Perrot

Étudiant :

Partenaire :

Lallemand Bio Ingredients;Lallemand Health Solutions Inc (Montreal, QC)

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Effects of Probio’Stick® and Diet on Health Outcomes after Chronic Stress Exposure

Research shows that the gut, the brain, and the collection of bacterial species that inhabit the gut (i.e., the microbiota) affect mental and physical health. Furthermore, stress seems to exasperate these disorders and this relationship may be explained by the unique connection between the gut, the brain, and the microbiota). In this experiment, we will examine how Probio’StickTM administration throughout the lives of rats can impact their response to unhealthy (high-fat or high-carbohydrate) diet and chronic, life-long stress). We are interested in how this probiotic may improve health outcomes related to diabetes, obesity, and anxiety in response to diet and stress. Through an industry collaboration, we are interested in helping Lallemand Health Solutions (Montreal, Canada) expand research on their probiotic, Probio’StickTM with respect to chronic stress and un

Voir la description complète du projet
Superviseur du corps professoral :

Tara S Perrot

Étudiant :

Partenaire :

Lallemand Bio Ingredients;Lallemand Health Solutions Inc (Montreal, QC)

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Using Deep Learning to Leverage Data Transfer and AI in Smart Vehicles

Smart autonomous vehicles have now become a reality while the efforts are ongoing to improve the safety, security, efficiency, and performance. In the fast paced digital world, all devices including the vehicles generate a huge amount of data every second which has to be analyzed, stored, and communicated with other devices to reach the next technology milestone. Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Device (V2D) communication protocols enable such communications for the smart connected vehicles. Ongoing research is focusing on further optimizing the information processing and data transfer technology to build a scalable and fault tolerant smart vehicle information system that uses a cloud infrastructure and massive parallel stream processing. We will build deep learning models to extract useful knowledge and data patterns from streaming vehicular data with a view to create a minimalistic and standardized dataset that can be efficiently transferred to other vehicles or to the cloud infrastructure for further analysis.

Voir la description complète du projet
Superviseur du corps professoral :

Farhana Zulkernine

Étudiant :

Partenaire :

Canadian Urban Transit Research and Innovation Consortium (ON)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

Queen's University

Programme :

Accelerate

Cellular and molecular properties of exosomes derived from keratinocytes differentiated from equine induced pluripotent stem cells (eiPSCs) and bone marrow mesenchymal stem cells (eBM-MSCs)

Regenerative medicine has long faced challenges in the search for alternatives that ensure an effective treatment by accelerating the repair process without altering the physiological phases of healing. It is believed that the utilization of the stem-cell secretoma can benefit injured tissue by modulating the local microenvironment, providing cytoprotectors, anti-inflammatory and angiogenic factors during an acute phase leading to injury and by boosting the stem/progenitor cells residing locally with the aim of obtaining a more specific healing programme through the stimulation of resident endogenous progenitors that are critical for the future development of a paracrine drug therapy. Moreover, studies have demonstrated the repairing role of exosomes from mesenchymal stem cells derived from iPSCs in humans by stimulating cell proliferation/migration, and facilitating the healing of cutaneous wounds by promoting collagen synthesis and angiogenesis. Together, these reports indicate that pluripotent and mesenchymal stem cell exosomes may also play a key role in the equine wound healing process.

Voir la description complète du projet
Superviseur du corps professoral :

Lawrence Smith

Étudiant :

Partenaire :

Universidade de São Paulo

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Integration of an Autonomous Trading Platform

Cyborg Trading Systems (CTS) provides custom software to existing trading platforms for the individual trader. Their trading software is designed to be a real time trading tool offering advanced risk management, prebuilt algorithms, and increased execution speed to high volume, high frequency traders. At the core of their software is a sophisticated event processing engine. One of the challenges facing the CTS engine is how to cope with rapid fluctuations in trading volumes which, during critical times, can easily overwhelm any trading engine. The challenge is how to address this dynamically and in a manner does not require constant human monitoring nor require human intervention. “Autonomic computing” has been an active research area with the aim of developing the technology to enable computing systems and applications to automatically manage their own operations and behavior by monitoring their environment and operation and then make adjustments based on expected performance requirements. This……………..TOBECONTINUED

Voir la description complète du projet
Superviseur du corps professoral :

Michael Bauer

Étudiant :

Partenaire :

Cyborg Trading Systems

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Western University

Programme :

Accelerate

Rapid Digital Twin and Ontology Builder for Buildings

Schneider Electric (SE) is developing their EcoStruxure Building Operations (EBO) system as a next generation Building Management System (BMS) that will combine data collected from the building into a Smart Digital Model (“Digital Twin”) that will be able to answer building users’ questions. This project will develop the tools necessary to develop such a Digital Twin, including defining its capabilities, identifying the information required to achieve the required functionality (including data formats and organizational structure), and developing a working prototype for a reference building. To maximize the benefit to SE, who would like to deploy this across a broad range of buildings, this approach must be replicable, scalable, and appropriately documented.

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer McArthur

Étudiant :

Partenaire :

Schneider Electric Canada (Mississauga)

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Correcting specular reflections for computer vision in collaborative robotics

Unlike traditional industrial robots, collaborative robots are meant to be used alongside workers. They can also be taught their task by the workers themselves instead of robotic engineers. This means that these robot have to be inherently safe and be able to properly perceive their environments when performing tasks such as picking parts from a conveyor belt. Because these robots can be taught in a wide variety of environments with people moving in and out, this also means that the operating conditions, especially lighting, can be quite dynamic. This produces unwanted artifacts such as reflections and highlights in images used to perceive the environment, and traditional processing systems to perform poorly. This project aims at developing an algorithm based on deep learning to correct such artifacts and allow these robots to work properly in non-ideal lighting conditions, enabling the workers to focus on the task instead of the robot’s needs

Voir la description complète du projet
Superviseur du corps professoral :

François Ferland

Étudiant :

Partenaire :

Robotiq

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Microfluidics Study of Three-Phase Non-Equilibrium Phase Behavior

CO2 management have been an important research theme to minimize the GHG impact on Canadian environment. Enhanced oil recovery by injecting CO2 underground is a very efficient way to minimize the CO2 environmental effect. Meanwhile, after primary and secondary production, either CHOP or CHOPS well present a high water cut in the produced liquid stream. This high water cut has a significant effect on choosing the proper post-CHO techniques. Therefore, in order to understand how the presence of various aqueous phase interacts with CO2 injection in heavy oil reservoir, non-equilibrium phase behavior study will be conducted on three-phase system under multiple reservoir operating schemes within the equipment allowable range of 0.1MPa—20MPa and 20?— 180?. Multiphase flow system mainly includes CO2 and heavy oil, with the addition of other aqueous solutions, such as brine, polymer, surfactant, alkaline solution etc. A profound understanding of solvent-heavy oil-aqueous solution three-phase non-equilibrium phase behavior will be achieved.

Voir la description complète du projet
Superviseur du corps professoral :

Farshid Torabi

Étudiant :

Partenaire :

Petroleum Technology Research Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Automatically Assessing Frailty from Medical Notes

Frailty is an especially problematic expression of population ageing. It is a condition characterised by loss of biological reserves across multiple organ systems and vulnerability to physiological decompensation after a stressor event. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, nursing home admission and mortality. This project addresses the issue of predicting frailty in patients by automatically processing medical notes taken by health professionals when consulting those patients. The result of this research could provide valuable information for physicians and other health professionals for individual patient care, as well as epidemiologic indicators on the overall population. The problem will be addressed by evaluating three different, but maybe complementary, approaches: Natural Language Based (NLP) processing, frailty index prediction using deep learning and summarization techniques. Besides, we intend to study in this project two side aspects of the application of technology to the health domain: the explainability of automatically generated predictions and knowledge discovery.

Voir la description complète du projet
Superviseur du corps professoral :

Randy Goebel

Étudiant :

Partenaire :

AltaML

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Précédent
1...2,1372,1382,1392,1402,1412,1422,143...2,513
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire