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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Projets par catégorie

Improved Thermoplastic to Oil Pyrolysis Process Technology with Advanced Plasma Technology

The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating cost, cleaner thermal source, shorten reaction time and provide high quality hydrocarbon gasoline and diesel. The research project involves developing a highly efficient RF thermal plasma system that can work in pyrolysis reactors. The partner organisation will start to utilize thermal plasma systems in their chemical reactors and drive the waste management industry forward by reducing operating cost of plastic to oil.

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Superviseur du corps professoral :

Hossam Gaber

Étudiant :

Partenaire :

Pro-Flange Ltd

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Development of the Feldan Shuttle platform / Amélioration de l’activité cytotoxique des cellules Natural Killer (NK) en utilisant une stratégie d’invalidation de gène(s) cible(s) par technologie CRISPR

Feldan Therapeutic developed the Feldan Shuttle platform, a breakthrough peptide-based delivery method that allows the introduction of foreign proteins inside cells. The Feldan Shuttle overcomes delivery obstacles in therapeutic context by providing a safe and highly efficient approach that is associated with low regulatory burden. The Shuttle platform can transfer active nucleases and transcription factors inside several types of cells; moreover, preliminary results in rodents suggest that the Shuttle has a promising potential for in vivo applications.
The Mitacs project described herein will allow the characterization of the in vivo and ex vivo capabilities of the Shuttle platform while allowing the development of more active Shuttles, three elements that will promote the growth of Feldan and will permit to carry forward its clinical aspirations. TO BE CONT’D

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Superviseur du corps professoral :

Frédéric Calon;Elie Haddad

Étudiant :

Partenaire :

Feldan Therapeutics

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

Université de Montréal; Université Laval

Programme :

Accelerate

A fuzzy logic based alert propagation system for temporal tracking of clinical samples

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of clinical sample collection and management is performed manually. This makes the operation error prone and limits its scalability. The primary goal of the proposed research is to improve the sample tracking by use of a fuzzy logic system and a novel alert system. This will allow Clinical Logistics to improve sample tracking and will ensure that it is able to provide the clients with the clinical samples with highest quality. Such a tracking system, being scalable will also allow clinical logistics to attract more business. TO BE CONT’D

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Superviseur du corps professoral :

Pawan Lingras

Étudiant :

Partenaire :

Clinical Logistics Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Saint Mary's University

Programme :

Accelerate

Creating personality based coaching manuals to manage leader Counterproductive Work Behaviours and improve leadership interpersonal competencies

Counterproductive Work Behaviours (CWB) refer to negative behaviours in the workplace that hinder organizational effectiveness. CWB ranges from violence and harassment to stealing and drug consumption on the job. Despite its importance and prevalence, little attention has been paid to leader CWB, as the focus has been mainly on employee CWB. Leader CWB, could be largely attributed to negative aspects of individuals’ personality. Therefore, the first objective is to discover what types of personality based CWB are more prevalent in leaders. Also, given the lack of practical guidelines in the literature on how to manage and diminish CWB in leaders, the second objective is to create coaching manuals for organizational consultants that let them identify CWB patterns in leaders and help leaders overcome their negative behaviours in their workplace. This project is in line with the partner organization’s mission of translating knowledge to practical management guidelines for consultants and leaders.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine T Kwantes

Étudiant :

Partenaire :

Expert Insights International Inc

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Maintenance Recommendation – Downtime Adaptive Learning

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, data was expensive, and more challenging to process. Fortunately, today there are many sensors and servers which collect and report thousands of measurements. Internet of Things (IoT) produces large amounts of data. The current problem is to have an optimised system to leverage all this information.
The desired output of this internship is to design a system that can predict the failure of a device in a manufacturing line and suggest a maintenance action prior to the failure of each device. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Hannah Michalska

Étudiant :

Partenaire :

NexJ Systems Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Development of the Social Acoustic Metrics for Aircraft Noise Annoyance to Facilitate the Management of Community Expectations

The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with community noise annoyance. Part of the research will involve the development of a model using different metrics (including noise, social and psychological criteria) which can be used to predict and measure community annoyance to aircraft noise. Using this model, the development of a community outreach and education program which addresses the specific outcomes of the above investigation will be delivered. A comprehensive report of the findings of the research will be prepared. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Colin Novak

Étudiant :

Partenaire :

Greater Toronto Airports Authority

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

University of Windsor

Programme :

Accelerate

Amélioration de la digestibilité des fourrages et diminution de la production de méthane chez les ruminants par l’optimisation de l’efficacité des protozoaires du rumen

Les camélidés partagent certaines caractéristiques anatomiques et physiologiques avec les ruminants. Bien que les camélidés aient une particularité microbienne telle que la présence d’un type de protozoaire spécifique à eux ‘’type B’’ et un genre spécifique nommé Butchlia permettant une meilleure digestibilité des fourrages par rapport aux protozoaires ‘’type A’’ chez les ruminants, on dispose aujourd’hui des éléments scientifiques fiables qui ont permis d’éclaircir certains phénomènes se rapportant à l’ingestion. Il faut souligner aussi que les travaux de recherche scientifique sur le système microbien et la composition de la biomasse microbienne des camélidés demeurent rares et en particulier la protozoologie par comparaison à la bactériologie. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Dany Cinq-Mars

Étudiant :

Partenaire :

Institut de Recherche et de Développement en Agroenvironnement

Discipline :

Life Sciences

Secteur :

Agriculture; Education; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Machine learning prediction on embedded systems

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints.
Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. and each of them have their own trade-offs and Impact speed, accuracy and energy efficiency differently. Understanding these trade-offs will help a programmer to select from the arsenal of optimizations based on their target application. For example, a latency sensitive real-t1me apphcabon may tolerate inaccuracies, and another apphcat1on may need high accuracy. We want to explore optimization techmques needed to execute machine learning inference algorithms for embedded dev1ces and suggest the1r trade-offs on speed, energy, and accuracy.

Voir la description complète du projet
Superviseur du corps professoral :

Arrvindh Shriraman

Étudiant :

Partenaire :

Form Swim

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology; Manufacturing and Construction

Université :

Simon Fraser University

Programme :

Accelerate

High Average Power – Frequency domain Optical Parametric Amplifier (HAP-FOPA)

The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS-EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize this disruptive technology in Canada. Prof. Légaré and few-cycle Inc. are the partners of the current proposal.
One particular aspect of this laser is its incredibly short pulse duration consisting only of few cycles of the electric field. The current state of the art of few-cycle infrared (IR) laser at the research level operate at average powers of a few watts. A commercial product is not yet available at IR wavelengths. The aim of this 1 year project is to increase the average power by one order of magnitude. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

François Légaré

Étudiant :

Partenaire :

Few-cycle

Discipline :

Physics

Secteur :

Technology; Advanced Manufacturing; Information and Communications Technology

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Living lab sur l’adaptation des PME touristiques aux changements climatiques

Tourisme Laurentides et l’UQAM s’associent dans le cadre d’un projet de recherche sur l’adaptation des PME touristiques aux changements climatiques. Les partenaires réunis dans le cadre de cette étude ont pour objectif d’identifier, de développer et d’expérimenter des solutions en adaptation aux changements climatiques et en réduction des gaz à effet de serre au travers un modèle d’innovation ouvert sur le milieu. Cette étude entend ainsi favoriser l’adoption de nouveaux comportements et de nouvelles pratiques de la part des entreprises, des touristes et des excursionnistes en misant sur des solutions concertées avec et pour les acteurs touristiques. En tâchant de mieux comprendre les perceptions et les défis des PME à agir concrètement sur les risques liés aux changements climatiques, cette démarche participe à établir les Laurentides comme un leader dans la mitigation des risques reliés aux changements climatiques tout en maximisant les opportunités engendrées par la modification du climat.

Voir la description complète du projet
Superviseur du corps professoral :

Dominic Lapointe

Étudiant :

Partenaire :

Tourisme Laurentides

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation; Public administration

Université :

Université du Québec à Montréal

Programme :

Accelerate

Quantifying soil organic carbon sequestration performance of the City of Calgary Willow Biomass and Marginal Land Reclamation Demonstration Project: Assessing provincial carbon emissions offset credit opportunities

The emerging emissions trading market provides the province of Alberta an opportunity to diversify its economy and drive climate change mitigation innovation. By improving the carbon credit generating efficiency, more economic opportunities and carbon sequestration industrial applications become feasible. The City of Calgary Dewatered Biosolids Land Application – Willow Biomass and Marginal Land Reclamation Demonstration Project represents part of the first wave of large-scale biologically driven greenhouse gas mitigation innovation. In this case, carbon sequestration is a beneficial by-product of sustainable waste water management practices. However in the future, when potential projects and opportunities are more deliberately assessed on the bases of their sustainable development merits, triple-bottom-line scores, carbon emissions trading value, and soil reclamation potential, a proposed project’s carbon sequestration potential may provide enough added value to tip the balance towards selecting biogenic based waste water residual management projects over less sustainable options.

Voir la description complète du projet
Superviseur du corps professoral :

Stephen Murphy

Étudiant :

Partenaire :

SYLVIS

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Environmental Science and Technology; Clean Technology

Université :

University of Waterloo

Programme :

Accelerate

Microbial contamination of TransX diesel fuel tanks.

The TransX Group of Companies is Canada’s largest privately owned transportation company. Its mission is to provide integrated transportation solutions to businesses throughout North America. In the fall of 2017, the Winnipeg office of TransX discovered that diesel fuel tanks for their long-haul refrigeration units contained a sludge-like, microbial biofilm and that the fuel filters from these tanks to the generators running the refrigeration compressors were becoming clogged. Dr. David Levin, in the Department of Biosystems Engineering at the University of Manitoba. will oversee a project to determine the identity of the microbes in diesel fuel tanks. The specific objectives of the proposed research are to: 1) isolate the microorganisms in the sludge from TransX diesel fuel tanks; 2) identify these microorganisms and determine the composition of the microbial community in the sludge; and 3) evaluate the effectiveness of a commercial biocide (Biobar JF) in eliminated the microbial contamination.

Voir la description complète du projet
Superviseur du corps professoral :

David B Levin

Étudiant :

Partenaire :

TransX Group of Companies

Discipline :

Engineering

Secteur :

Transportation and warehousing

Université :

University of Manitoba

Programme :

Accelerate

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