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
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842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
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Projets par catégorie

Degradation Assessment for Critical Assets in Power Generation

Degradation assessment for critical assets in power generation has great significance for power industry. Existing degradation assessment models failed either in combining the multimodal condition monitoring data or in removing time-varying working condition influences, resulting in inaccurate and/or unreliable degradation assessment results. In order to achieve robust and accurate degradation assessment for power generation critical assets, this project aims at developing new models based on both maintenance data and condition monitoring data from ENMAX. It is expected to obtain more accurate degradation assessment results over existing models. This study is critical for ENMAX to optimize their capital asset management decisions and maximize long-term profits whilst delivering high service levels to customers with acceptable and manageable risks. Furthermore, the interns will gain experience in addressing application-oriented research problems.

Voir la description complète du projet
Superviseur du corps professoral :

Ming Zuo

Étudiant :

Partenaire :

ENMAX Corporation

Discipline :

Engineering

Secteur :

Utilities

Université :

University of Alberta

Programme :

Accelerate

Assessment of the Neonatal Lung Using Structural and Functional MRI – Year two

Currently available medical imaging tools, such as x-rays, are inadequate for assessing the lungs of preterm neonates. There is considerable interest in using magnetic resonance imaging (MRI) to monitor lung development in neonates longitudinally, since it is a non-invasive and non-ionizing imaging modality. MRI can potentially detect complications at an early stage and improve outcomes by monitoring the effectiveness of therapy, however, images typically suffer from poor signal and organ motion. In collaboration with Siemens, this proposal will develop, optimize and test novel MRI tools for improved assessment of neonatal lungs. After optimizing MRI hardware and software in year one of this proposal, the renewal year will translate these novel proton methods to neonatal lung imaging. This proposed research will help Siemens develop and validate pulmonary neonatal imaging approaches that will eventually be released as commercial products for the benefit of healthcare in Ontario.

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Superviseur du corps professoral :

Giles Santyr

Étudiant :

Partenaire :

Siemens Healthcare Limited

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology; Technology

Université :

University of Toronto

Programme :

Elevate

Assessment of the Neonatal Lung Using Structural and Functional MRI

Currently available diagnostic imaging tools, such as chest radiography and computed tomography, are inadequate for assessing the lungs of preterm neonates. There is considerable interest in using magnetic resonance imaging (MRI) to monitor lung development in neonates longitudinally, since it is a non-invasive and non-ionizing imaging modality. MRI can potentially detect complications at an early stage and improve outcomes by monitoring the effectiveness of therapy, however, images typically suffer from poor signal and organ motion. In collaboration with Siemens, this proposal will develop, optimize and test novel MRI tools for improved assessment of neonatal lungs. Anatomical and functional proton lung MRI approaches will first be developed and compared to established hyperpolarized gas imaging techniques in rodent lungs. After optimizing MRI hardware and software for preclinical imaging, these novel proton methods will then be translated to neonatal lung imaging. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Giles Santyr

Étudiant :

Partenaire :

Siemens Healthcare Limited

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology; Technology

Université :

University of Toronto

Programme :

Elevate

Multi-biomarker test for the management of acute cardiac transplant rejection – Year two

The high incidence of acute organ rejection following heart transplantation poses major problems for patients, clinicians, and the healthcare system. A major clinical challenge in this regard arises from the difficulty of accurately and efficiently diagnosing when organ rejection occurs. In Canada, the current approach to diagnosing acute rejection requires taking small pieces of the endomyocardium (EMB), which is a highly invasive and costly procedure. An alternative approach, currently not available in Canada, is to use a blood-based biomarker test called AlloMap; however, this test is ineffective during the period immediately after a heart transplant, when most rejection events occur. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Robert McMaster

Étudiant :

Partenaire :

PROOF Centre of Excellence

Discipline :

Life Sciences

Secteur :

Biotechnology

Université :

The University of British Columbia

Programme :

Elevate

Multi-biomarker test for the management of acute cardiac transplant rejection

The high incidence of acute organ rejection following heart transplantation poses major problems for patients, clinicians, and the healthcare system. A major clinical challenge in this regard arises from the difficulty of accurately
and efficiently diagnosing when organ rejection occurs. In Canada, the current approach to diagnosing acute rejection requires taking small pieces of the endomyocardium (EMB), which is a highly invasive and costly procedure. An alternative approach, currently not available in Canada, is to use a blood-based biomarker test called AlloMap; however, this test is ineffective during the period immediately after a heart transplant, when most rejection events
occur. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Robert McMaster

Étudiant :

Partenaire :

PROOF Centre of Excellence

Discipline :

Life Sciences

Secteur :

Biotechnology

Université :

The University of British Columbia

Programme :

Elevate

Ciena OPn – WP 3.2.3 6500/CPL Network Virtualization

Ciena, the network specialist, is collaborating with Universities and SMEs in Ontario and Québec in order to develop an ecosystem that accelerates advanced research and development activities in the fields of high-capacity optical transmission systems, software defined networks, business intelligence and process automation. A steady-state of over 50 Masters, PhD and Post-Doc students per year, supervised by 25 researchers from 9 universities and in close collaboration with 5 SMEs, is proposed. The program is expected to stimulate advanced research and intellectual property production in Canada and have a significant impact on the development of highly qualified resources as well as on Ciena’s next generation of products. This research project aims at simulating dense wavelength division multiplexing optical networks to test software loads and Ciena’s new system functionality.

Voir la description complète du projet
Superviseur du corps professoral :

Christine Tremblay

Étudiant :

Partenaire :

Ciena Corporation (St-Laurent, QC)

Discipline :

Engineering

Secteur :

Information and Communications Technology; Technology

Université :

École de technologie supérieure

Programme :

Accelerate

Shake Table Testing and Analytical Validation of a Reduced Scale Dam Considering Dam-Water Interaction

Hydropower dams are significant investments and their integrity affects many stakeholders. Failure of a dam results in catastrophic events which cannot be mitigated. Seismic evaluation and prediction of dynamic response of dams need in depth assessment which has always been challenging with complex dam-water-foundation interaction. Impounded water considerably affects the response of a dam during a seismic event. In this study, shake table experiments will be conducted on reduced scale 3D printed and digitally fabricated gravity dams under a ‘full pool’ condition during a seismic event matching the natural frequency of the dam. Finite-element simulation will be completed to verify experimental results to check impounding waters effect on the force generated within the structure which will help the partner organization select best design alternatives during design and construction of dams as well as for the informed retrofitting of thousands of existing structures throughout North America.

Voir la description complète du projet
Superviseur du corps professoral :

Shahria Alam;Rudolf Seethaler

Étudiant :

Partenaire :

Austin Engineering Ltd

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of British Columbia - Okanagan

Programme :

Accelerate

Developing a Lipid-Based System for Co-delivery of a Vaccine and Adjuvants

University of British Columbia and Amgen British Columbia (ABC) will collaborate to develop a safe and efficient lipid-based vaccine delivery system that can be used in laboratory animals to enhance the production of specific antibodies against difficult targets. These antibodies can be further screened and characterized for treating various diseases in humans.

Voir la description complète du projet
Superviseur du corps professoral :

Shyh-Dar Li

Étudiant :

Partenaire :

Amgen British Columbia

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Pharmaceuticals; Biotechnology

Université :

The University of British Columbia

Programme :

Accelerate

Effective use of a variable speed blower fan on a mechanical wild blueberry harvester for increased debris separation and berry quality

Wild blueberries are an important crop to this region as this is the only area that wild blueberries are naturally occurring. The changes in wild blueberry crop conditions caused by improved management practices over the past decade has caused increased plant density and leaf foliage. This extra foliage has made it more difficult for the harvester operator to clean debris (leaf, soil, sticks, etc.) from the blueberries before they are placed in the loading bins. There is an urgent requirement from the processing plants to decrease the amount of debris present in the bins arriving at the processing facilities.
The main objective of this project is to install and study the effects of a variable speed blower fan to effectively remove debris on a mechanical wild blueberry harvester. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Qamar Zaman

Étudiant :

Partenaire :

Wild Blueberry Producers Association of Nova Scotia

Discipline :

Engineering

Secteur :

Agriculture; Information and cultural industries

Université :

Dalhousie University

Programme :

Accelerate

Intégration de la réalité augmentée et de la réalité virtuelle dans un contexte de formation

Les systèmes de réalité augmentée (RA) et de réalité virtuelle (RV) ont récemment été implémentés dans divers secteurs professionnels, notamment dans les domaines de l’éducation et de la formation. Ces systèmes permettent, aux moyens de casques et d’écouteurs, de plonger les utilisateurs dans des environnements réels pour la RA, mais qui comportent des éléments virtuels numérisés et intégrés, ou dans des environnements complètement virtuels et en trois dimensions (3D) pour la RV. Ce stage postdoctoral a pour objectif d’étudier plus en profondeur le rôle et l’impact de l’usage de ces systèmes de RA et de RV dans un contexte de formation pour adultes. Plus particulièrement, nous allons proposer des méthodes et des outils favorisant l’appropriation de ces nouvelles stratégies de formation par les formateurs, mais aussi par les participants aux formations.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Beaudry

Étudiant :

Partenaire :

Ellicom Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Assessing Participatory Management with a 5S project – An Empirical Approach

This Mitacs Project’s aim is to calibrate and test a model to assess and improve the employee’s engagement. The work will focus in define a methodology to identify the necessary data for the calibration and the installation of a model (a set of equations) for improvement of a factory. This project will benefit both: the researchers with data for calibration and the factory with a new tool to improve productivity.

Voir la description complète du projet
Superviseur du corps professoral :

Samuel-Jean Bassetto

Étudiant :

Partenaire :

Wajax Corporation

Discipline :

Engineering

Secteur :

Wholesale trade

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Développement d’un outil de stratégie marketing basé sur la fouille de données historiques

Depuis quelques années, de plus en plus d’entreprises utilisent le data mining pour mieux comprendre les caractéristiques et les comportements de leurs clientèles. L’utilisation du data mining dans une étude de marché peut permettre d’identifier des facteurs invisibles avec des méthodes traditionnelles et ainsi avoir meilleure connaissance du client et bonifier la relation avec ce dernier. Ceci devrait résulter en de nouveaux processus menant à une relation long terme avec les clients. Ce projet de recherche vise à développer un outil d’exploration de données pour mener une étude de marché et identifier les stratégies commerciales adaptées. L’outil sera développé pour une entreprise oeuvrant dans le domaine du e-commerce et se spécialisant dans la vente d’offres de rabais de divers produits, services et activités. Les données à disposition comptent les informations de toutes les transactions ayant eu lieu sur une période de 6 ans. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Bruno AGARD

Étudiant :

Partenaire :

Tuango Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École Polytechnique de Montréal

Programme :

Accelerate

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