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

A study of the hydrogeotechnical behavior of in-pit tailings and their interaction with the contact structures

Wastes produced by mines include tailings and waste rock. Tailings are crushed rock produced by mineral extraction and are typically disposed as slurry. Waste rock is coarse material excavated to create mine openings that have no economic value. These wastes are often stored on the surface in tailings impoundments or waste rock piles and they pose important environmental and geotechnical risks. Backfilling the openings of underground mines with treated wastes has become a common practice. The disposal of wastes in open pits is less common, yet is a promising approach for integrated mine wastes management. Very little research has been conducted on the behavior of tailings disposed of “in-pit” and on their interaction with contact structures. In-pit disposal of mine wastes is underway at the partner’s site, Doyon-Westwood Mine. This is an opportunity to study important aspects of in-pit disposal that will lead to improvements in the method and an understanding of its effects on the environment. For example, waste rock could be placed in the pits as inclusions that would improve drainage and stability. Where the pit lays above underground mine openings the effects of in-pit disposal on the stability of these openings should also be evaluated.

Voir la description complète du projet
Superviseur du corps professoral :

Li Li

Étudiant :

Partenaire :

IAMGOLD Corporation Mine Westword (Rouyn-Noranda, QC)

Discipline :

Engineering

Secteur :

Mining; Environmental Science and Technology; Natural Resources

Université :

École Polytechnique de Montréal

Programme :

Elevate

Recurrent Deep Architectures for Modeling Time Series Data

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the models as well as software & hardware improvements that help accelerate the training process. Recurrent Neural Networks (RNNs) are one of the most powerful and popular frameworks for modeling sequential data such as speech and text. We propose to create an open source implementation of scalable, “industrial-strength”, RNN models. These models can then be fine-tuned and trained to perform specific prediction tasks on time series datasets from finance and insurance sectors.

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Superviseur du corps professoral :

Graham Taylor

Étudiant :

Partenaire :

RBC Royal Bank (Toronto, ON)

Discipline :

Engineering

Secteur :

Finance and Insurance; Management of companies and enterprises

Université :

University of Guelph

Programme :

Accelerate

Ecosystem Value Accounts – Tools to Advance the Green Economy and Sustainability Agenda

The project will develop ecosystem value accounts of land owned by the forestry company Kenauk Canada ULC (Kenauk Canada) using a variety of ecological economic approaches. The emphasis is to capture the broader value of ecosystem goods and services as opposed to equating value with the price of standing timber. Approaches under consideration include: net primary productivity, development of biocapacity accounts, and development of ecosystem service indicators. The project will also contribute to economic and sustainability discourse by exploring the normative underpinnings of how we assign and determine ecosystem value.
Kenauk Canada recently took on the mandate of transforming from a traditional forestry business into a sustainable conservation operation. Kenauk Canada will use the accounts to communicate the ecological importance of land they own and inform the new strategic direction of the company. Communicating the ecological significance is further regarded as a key strategy to leverage partnerships with conservation groups and economic development agencies. In addition, the ecosystem value accounts will include a carbon inventory which will be used to explore participation in carbon trade. Kenauk Canada understands that environmental risks and climate induced changes require forestry companies to create new business models based on principles of integrity and sustainability.

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Superviseur du corps professoral :

Raymond Paquin

Étudiant :

Partenaire :

Kenauk Canada ULC

Discipline :

Sociology

Secteur :

Agriculture

Université :

Concordia University

Programme :

Elevate

Development and commercialization of novel reference material for food allergen and gluten proficiency testing – Year two

The planned research program aims to address an existing gap: the lack of commercial availability of reference materials for food allergens to be used in the context of analytical method development, validation and performance testing. In particular, naturally incurred samples representing food matrices where priority allergens are likely to occur, in a controlled and calibrated fashion are not available. Allergens targeted include egg, milk as well as wheat gluten (targeting both wheat allergen and Gluten testing). Selected food carriers (food matrices where the allergen will be incorporated in a controlled and calibrated fashion) will be identified based on needs and priorities for allergen testing as well as market research.
The research envisaged will include the development of conditions of production, quality control and use of such reference materials. TO BE CONT’D

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Superviseur du corps professoral :

Samuel Godefroy

Étudiant :

Partenaire :

r-Biopharm Canada inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université Laval

Programme :

Elevate

Development and commercialization of novel reference material for food allergen and gluten proficiency testing

The planned research program aims to address an existing gap: the lack of commercial availability of reference materials for food allergens to be used in the context of analytical method development, validation and performance testing. In particular, naturally incurred samples representing food matrices where priority allergens are likely to occur, in a controlled and calibrated fashion are not available. Allergens targeted include egg, milk as well as wheat gluten (targeting both wheat allergen and Gluten testing). Selected food carriers (food matrices where the allergen will be incorporated in a controlled and calibrated fashion) will be identified based on needs and priorities for allergen testing as well as market research.
The research envisaged will include the development of conditions of production, quality control and use of such reference materials. Support will be sought from the food allergen analytical community established under the auspices of the Association of Official Analytical Communities (AOAC International) as well MONIQA (international non-for profit network gathering analytical scientists: moniqa.org).
This initiative will also include some market research to study opportunities of commercialization of the developed materials in North-America, Europe and the Asia-Pacific region.

Voir la description complète du projet
Superviseur du corps professoral :

Samuel Godefroy

Étudiant :

Partenaire :

r-Biopharm Canada inc

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université Laval

Programme :

Elevate

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI – Year two

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms. Developing an automated algorithm to realize this time-consuming procedure can help companies save time and increase efficiency. NeuroRx will provide thousands of QC’d scans for algorithm training, and benefit from the most technologically advanced concepts and resources developed at a world-renowned institution, the Neuro at McGill.

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Superviseur du corps professoral :

Amir Shmuel

Étudiant :

Partenaire :

NeuroRx Solutions Inc

Discipline :

Engineering

Secteur :

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

Université :

McGill University

Programme :

Elevate

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms. Developing an automated algorithm to realize this time-consuming procedure can help companies save time and increase efficiency. NeuroRx will provide thousands of QC’d scans for algorithm training, and benefit from the most technologically advanced concepts and resources developed at a world-renowned institution, the Neuro at McGill.

Voir la description complète du projet
Superviseur du corps professoral :

Amir Shmuel

Étudiant :

Partenaire :

NeuroRx Solutions Inc

Discipline :

Engineering

Secteur :

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

Université :

McGill University

Programme :

Elevate

Synchronization of ovulation to improve the efficiency of an in vitro embryo production/embryo transfer program in commercial operations in cattle – Year two

In vitro embryo production and embryo transfer (IVP/ET) is a technique that has been developed in cattle for genetic selection to enable rapid improvement in commercially important traits. Technological advances have resulted in a significant increase in the commercial use of IVP/ET in recent years, and have made this one of the fastest growing sectors in the dairy industries. However, pregnancy rates following the transfer of IVP embryos are lower than that of in vivo produced embryos. Asynchrony between the recipient and embryo stage at the time of transfer may be affecting pregnancy rates in IVP/ET programs. In commercial operations, less than 65% of recipients are optimally synchronized to receive an embryo. Preparation of recipients by using heat detection after synchronization with a single dose of prostaglandin may be a limiting factor. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Marc-André Sirard

Étudiant :

Partenaire :

L'Alliance Boviteq Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Professional, scientific and technical services

Université :

Université Laval

Programme :

Elevate

Synchronization of ovulation to improve the efficiency of an in vitro embryo production/embryo transfer program in commercial operations in cattle

In vitro embryo production and embryo transfer (IVP/ET) is a technique that has been developed in cattle for genetic selection to enable rapid improvement in commercially important traits. Technological advances have resulted in a significant increase in the commercial use of IVP/ET in recent years, and have made this one of the fastest growing sectors in the dairy industries. However, pregnancy rates following the transfer of IVP embryos are lower than that of in vivo produced embryos. Asynchrony between the recipient and embryo stage at the time of transfer may be affecting pregnancy rates in IVP/ET programs. In commercial operations, less than 65% of recipients are optimally synchronized to receive an embryo. Preparation of recipients by using heat detection after synchronization with a single dose of prostaglandin may be a limiting factor. The use of treatment protocols to more effectively synchronize ovulation and, consequently, eliminate the need for heat detection may improve the pregnancy rates in cattle. A 10% increase of the number of synchronized recipients eligible to receive an embryo (i.e., from 65% to 75%) will increase the number of transferred embryos and, most likely, the number of pregnant recipients which will benefit economically the cattle industry.

Voir la description complète du projet
Superviseur du corps professoral :

Marc-André Sirard

Étudiant :

Partenaire :

L'Alliance Boviteq Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Professional, scientific and technical services

Université :

Université Laval

Programme :

Elevate

Développement d’un prototype pour séquestrer le CO2 à la cheminée d’un grand émetteur par carbonatation minérale de résidus miniers de silicate de magnésium – Year two

L’impact des gaz à effet de serre (CO2) sur les changements climatiques est devenu une préoccupation mondiale. Indispensable à l’économie du pays les industries sont de grandes émettrices de CO2 mais leur arrêt est inenvisageable. La solution proposée dans ce projet est de capter le CO2 directement dans les fumées émises par ces industries, afin de l’inhiber sous forme solide (carbonates) par l’intermédiaire de résidus miniers et ce avant sa dispersion dans l’atmosphère. Les carbonates produits par le traitement du CO2 pourront être valorisables économiquement après calcination en MgO et le CO2 recirculé dans le procédé de carbonatation. L’objectif du projet est développer une usine de démonstration du procédé de calcination et de production du MgO. L’intérêt pour l’organisme partenaire est d’avoir accès à une technologie brevetée sur le traitement des émissions de CO2 et permettant la formation de MgO valorisable.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Mercier

Étudiant :

Partenaire :

Sigma Devtech Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Elevate

Développement d’un prototype pour séquestrer le CO2 à la cheminée d’un grand émetteur par carbonatation minérale de résidus miniers de silicate de magnésium

Depuis le protocole de Kyoto (1997) et la COP21 de Paris (2016), l’émission de gaz à effet de serre (GES) est devenue une préoccupation mondiale. Intrinsèquement liés à la croissance économique, les GES sont directement responsables du changement climatique. La solution proposée dans ce projet est de parvenir à séquestrer le CO2 émis par les fumées des industries émettrices (cimenteries, raffineries), et ce afin de l’inhiber sous forme solide (MgCO3) par l’intermédiaire de résidus miniers. Après calcination, les carbonates seraient ensuite vendus sous forme de MgO. Nos recherches réalisées préalablement et protégées par un brevet nous confèrent une expertise significative sur les techniques de séquestration du CO2. L’objectif du projet est de parvenir à concrétiser ces travaux par le développement d’un prototype à l’échelle préindustrielle tout en approfondissant les connaissances physico-chimiques fondamentales du processus de carbonatation. L’intérêt pour l’entreprise partenaire est de développer un projet innovant dans le domaine de la séquestration du CO2 qu’elle pourra ensuite appliquer sur ses sites industriels. Ce projet serait de plus rentable car il permettrait de produire du MgO à partir de la calcination de MgCO3 obtenu par la séquestration du CO2 dans les fumées.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Mercier

Étudiant :

Partenaire :

Sigma Devtech Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Elevate

Implementation of a chip-based MDTMA platform for evaluating prostate cancer treatment response and mode of action. – Year two

Prostate cancer is the disease of the old, effecting 1 in 7 Canadians with a death burden of 1 in 28. The management of the disease becomes extremely difficult with the development of the nonresponsive and aggressive form of the cancer. Thus, the clinicians are rendered helpless and hence there is an urgent need for the development of new targeted therapies. Response to chemotherapy drugs varies for every individual, leading to adverse effects in many. Hence every individual responds to chemotherapy drugs differentially, matching the right dose for individual patient is a big challenge. We hypothesize that a microfluidic platform is well suited to directly assess chemotherapeutic indices from tissue samples, allowing for a more personalized approach to clinical decision-making. The economic, miniature and rapid output of such a platform would allow for a fast read-out of response in PCa. Our laboratory has already developed such a device. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Fred Saad

Étudiant :

Partenaire :

Institut du cancer de Montréal

Discipline :

Life Sciences

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Elevate