Projets novateurs réalisés

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

30156 projets achevés

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812
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842
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Projets par catégorie

The role of cyclodextrins in repairing dysfunctional lung surfactant

My work will provide an important insight of the newly developed S1229. Cyclodextrins (S1229) are cyclic molecule composed of 7-sugars, with a unique structure. S1229 forms a hydrophobic core, which interacts with cholesterol and phospholipid by-products and removing them from the membrane. SolAeroMed has shown that S1229 was able to repair lung surfactant function. Lung surfactant is protein-lipid mixture covering the air-water interphase in the lung. Surfactant is an essential component of healthy lung function and without it, breathing would be near impossible. Therefore, to build on the information SolAeroMed has for S1229, the project will answer crucial questions for the successful clinical development of S1229. By understanding which CD sub-class shows better ability to repair the surfactant film, examine toxicity and possible side effects, SolAeroMed would be better equipped for the development of S1229 and commercializing it.

Voir la description complète du projet
Superviseur du corps professoral :

Chang-Chun Ling

Étudiant :

Partenaire :

SolAeroMed Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Congestion Control for Ethernet Networks supporting ICN and 5G – Year 2

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight. The proposed research project aims at exploring and developing an innovative switch behavior for handling proactively traffic congestion in Ethernet network as a common Layer 2 infrastructure for the Core and Transport Network in C-RAN (Cloud Radio Access Network). The new knowledge, innovation and developed technologies will be integrated to Ericsson 5G scenario as a value added feature.

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Superviseur du corps professoral :

Halima Elbiaze

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Elevate

Adsorption of tannins on copper surface

Tannins, natural renewable molecules, have exhibited excellent corrosion inhibition properties, comparable to those of non-renewable counterparts. TGWT Clean Technologies Inc. has a portfolio of tannin-based corrosion inhibitors, which are being used in industry to protect mild steel (MS) steam boilers, high efficiency condensing aluminium boilers, as well as multi-metal heating and cooling closed-loop systems. Copper equipment is ubiquitous in industry, e.g. heat exchangers. Industrial case studies have shown that green tannin blends perform efficiently on copper corrosion inhibition, based on copper coupons exposed to industrial waters for about 210 days. However, the exact mechanism by which tannins protect copper hasn’t been studied.
In this work, the adsorption of tannins on copper surfaces will be studied using different methods. The effect of copper ions concentration (0-50 ppm), pH (from 7 to 10), and ionic strength (0-20 mM) will be investigated.

Voir la description complète du projet
Superviseur du corps professoral :

Nathalie Tufenkji

Étudiant :

Partenaire :

Technologies propres TGWT inc

Discipline :

Engineering

Secteur :

Clean Technology; Nanotechnology; Natural Resources

Université :

McGill University

Programme :

Accelerate

Optimization and compatibility study of a pH-responsive terpolymercomposite membrane for controlled release dosage forms

A new film coating that can respond appropriately to different pH conditions of the stomach and small intestine (GI tract) was successfully prepared by combining pH-responsive nanoparticles with ethylcellulose polymer. However, the performance of the composite membrane has not been optimized for controlling drug release in the GI tract. Therefore, improvements are to be made through experimental design, such as central composite design, to find the appropriate composition of the nanoparticles to achieve the best overall combination of coating properties. The final membrane, then, can be tested for compatibility with different drugs and their release. The best ratio of composition, and different drug compatibilities are expected to be found. The field is of intern’s main interest for graduate studies, and is a great opportunity for hands-on experience, and can be of great contribution of new knowledge for partner organization.

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Superviseur du corps professoral :

Shirley Wu

Étudiant :

Partenaire :

Thermo Fisher Scientific

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Graphene-Based Drug/siRNA Nanocarriers for Cancer Treatment

In this project, carbon-based nano-materials were used not only to capture CO2, but also function as a nano-carrier platform to uptake the drugs and genes for cancer therapeutic applications. In other words, the main objective of this project is to tackle two major issues in our society: greenhouse gas emission and cancer.

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Superviseur du corps professoral :

Pu Chen

Étudiant :

Partenaire :

Carbon Upcycling Technologies Inc;University of Waterloo

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Machine Health Monitoring and Condition Based Maintenance through Industrial big data and Deep Learning

Manufacturing system reliability is significant in modern industry that requires high speed and low cost in production. The proposed work is aiming to establish a systematic and applicable approach for machine condition monitoring and condition based maintenance with the help of large amount of data from the industrial internet of things. Deep learning, as an emerging technics successfully applied in many areas will be utilized to automatically extract the knowledge behind the massive industrial data for more accurate machine fault diagnosis and prognosis. With the developed system, a more accurate and appropriate maintenance strategy can be carried out to ensuring the system reliability and low maintenance cost.

Voir la description complète du projet
Superviseur du corps professoral :

Clarence de Silva

Étudiant :

Partenaire :

Istuary Innovation Labs Inc (Vancouver, BC)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Étude du comportement au stockage d’enrobé bitumineux ensaché pour réparation d’urgence de chaussées

Au Québec, malgré les investissements massifs récents pour maintenir le réseau routier dans un état acceptable, nous faisons face à des conditions climatiques rigoureuses qui endommagent plus rapidement le réseau routier. En période hivernale, des interventions palliatives d’urgence sont nécessaires afin d’assurer la sécurité des usagers.
Dans le but préserver « les actifs » de la collectivité, l’entreprise BauVal travaille assidûment dans le développement d’enrobé bitumineux de réparation d’urgence stockable et performant pour permettre aux municipalités l’entretien continu de leur réseau routier et ainsi assurer la sécurité des usagers. Ces matériaux sont adaptés pour permettre les interventions en période hivernale.
Dans le cadre de ce projet, il est proposé d’étudier l’impact du procédé de fabrication sur les caractéristiques des enrobés stockables pour rapiéçage manuel et mécanisé. Ce procédé sera ensuite reproduit en laboratoire afin de quantifier l’impact des paramètres de production. La validation du procédé sera suivie d’une optimisation/amélioration du produit fini par l’ajout d’additifs. Ces travaux de recherche permettront une meilleure compréhension du matériau et de son procédé complexe de fabrication.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Perraton

Étudiant :

Partenaire :

Bauval

Discipline :

Engineering

Secteur :

Construction; Manufacturing and Construction; Natural Resources

Université :

École de technologie supérieure

Programme :

Accelerate

Fabrication additive de composantes d’aluminium de haute performance par soudage ultrasons

La fabrication additive par soudage ultrasons combine la soudure par ultrasons de métaux et l’usinage de ces derniers à l’intérieur du même appareil. Cette méthode de mise en œuvre est principalement présente dans les domaines de l’aéronautique, de l’aérospatiale, de l’automobile et de l’électronique. Il s’agit d’un type de soudure dit « à froid » puisque la création des joints est réalisée à l’état solide. Des feuillards sont superposés tour à tour et usinés au fil des étapes de fabrication additive, ce qui permet d’obtenir des pièces difficilement réalisables par méthodes conventionnelles, voir impossible. Ce procédé automatisé permet entre autres, de joindre des matériaux dissimilaires, de fabriquer des composites à matrice métallique, d’inclure des sondes à l’intérieur des pièces, etc.
L’objectif du travail est de produire des pièces d’aluminium de haute performance par soudage ultrasons et de caractériser leurs propriétés mécaniques en traction en fonction de différentes concentrations en magnésium.

Voir la description complète du projet
Superviseur du corps professoral :

Carl Blais

Étudiant :

Partenaire :

Cégep de Trois-Rivières (Centre de Métallurgie du Québec)

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Aerospace; Automotive

Université :

Université Laval

Programme :

Accelerate

Impact of a pharmacist-led therapeutic nutritional intervention on medications and glucose control in type 2 diabetes

In this project, community pharmacists will help patients with type 2 diabetes to make dietary changes to reduce their consumption of carbohydrates while lowering or eliminating their need for costly diabetes medications. The results will help inform pharmacy practice and diabetes management and represent a novel treatment strategy placing pharmacists as key integrators of lifestyle and medication care for patients with type 2 diabetes.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Little

Étudiant :

Partenaire :

Pharmasave Drugs (Pacific) Ltd

Discipline :

Life Sciences

Secteur :

Retail trade

Université :

University of British Columbia - Okanagan

Programme :

Accelerate

Machine Vision Yield Monitor for Vegetable Crops

Machine Vision (MV) is a technology that aims to translate visual data from images or videos into useful information for industrial processes. The use of MV in precision agriculture is currently expanding and has helped to accelerate and improve sorting, grading and yield estimation. The goal of this research project is to develop a MV yield monitor for the large scale industrial farm Delfland Inc. that will identify, sort and count vegetables according to their size. The system will be designed to function with multiple types of vegetable harvesters including onions, carrots, lettuce and shallots. The system will also output this data as a geographical map showing the yield distribution of the field, providing farmers with important feedback concerning the state of their fields that can help to improve overall harvesting strategies.

Voir la description complète du projet
Superviseur du corps professoral :

Viacheslav Adamchuk

Étudiant :

Partenaire :

Delfland Inc

Discipline :

Engineering

Secteur :

Agriculture

Université :

McGill University

Programme :

Accelerate

Sustainable Copper Extraction Using Synthetic Biology

Copper, a conductive metal, forms the basis of much of our manufacturing and electrical infrastructure. Yet, despite high demands for the metal, supply is not keeping pace. One of the chief reasons is that copper extraction faces steep technical challenges that have steadily pushed up capital expenditures. We propose to use a recent innovation called synthetic biology to greatly improve the efficiency and cost of copper extraction. Our method employs microorganisms that leach copper via a process called bioleaching. Despite the method’s promise, however, some challenges remain. Notably, the conditions that favour bioleaching result in the formation of a thin protective layer (passivation) around the copper ore. Further improvements in bioleaching are contingent on elimination of this layer. Our industrial partner, Jetti Services, has developed a proprietary catalyst that achieves this goal. However, dosage of the catalyst reduces microbial fitness. Consequently, we are employing genetic engineering to improve the fitness and metabolic output of the microbes to leach copper in the presence of the catalyst. Our work will significantly improve leaching yields and promises to be a game-changer for the mining industry.

Voir la description complète du projet
Superviseur du corps professoral :

Vikramaditya Yadav

Étudiant :

Partenaire :

Jetti Services Canada Inc

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

Ciena OPn – WP 3.2.6 A Secure and Verifiable Storage Cloud Architecture for Online Applications

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. The goal of this project is to setup a storage cloud that will host Ciena’s expanded portfolio of network analysis and visualization services.

Voir la description complète du projet
Superviseur du corps professoral :

Muthucumaru Maheswaran

Étudiant :

Partenaire :

Ciena Corporation (St-Laurent, QC)

Discipline :

Computer science

Secteur :

Information and Communications Technology

Université :

McGill University

Programme :

Accelerate

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