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

Improving energy system planning solutions by accounting for inherent uncertainties through robust optimization

More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers. This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect. The infrastructures in place have not been designed for this new reality and they must be adapted accordingly, and ideally, at minimum costs. Herein, we will develop a new methodology to optimize such networks in presence of local renewable energy producers (new control device location, generation type limitations, nominal power, battery storage eventually). To accomplish this, we will extend the mesh-adaptive direct search algorithm (MADS) to perform robust optimization on high-dimensional and time-consuming models with inherent uncertainties and apply it to the present problem.

Voir la description complète du projet
Superviseur du corps professoral :

Sébastien Le Digabel

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

École Polytechnique de Montréal

Programme :

Elevate

Établissement de liens entre les changements climatiques anticipés et la classification écologique d’une portion de la forêt boréale et tempérée de l’Ouest du Québec – Year two

Cette demande porte sur les changements de végétation anticipés sous l’effet des changements climatiques, à la jonction entre le domaine de la sapinière à bouleau jaune (forêt tempérée) et celui de la sapinière à bouleau blanc (forêt boréale) (Figures 1 et 2). Nous quantifierons les différences entre le climat actuel et celui qui prévaudra dans le futur (stress climatique) dans les 4 régions écologiques à l’étude. Les régions écologiques actuelles (ex. 5b) seront mises en relation avec les régions où le climat estimé sous l’effet des changements climatiques est actuellement observé (ex. 3b) (analogues climatiques). Afin de mieux comprendre les changements de végétation susceptibles de se produire sous l’effet du climat (2070-2100), nous caractériserons la dynamique forestière contemporaine des végétations potentielles du territoire d’étude, à l’exemple de la sapinière à bouleau blanc (Figure 3). Nous poserons l’hypothèse que les végétations potentielles de la forêt tempérée, notamment les érablières nordiques, pourraient se déplacer vers la forêt boréale. Ces données empiriques seront ensuite utilisées afin d’interpréter les changements de couvert forestier simulés à partir de trois types de modélisation. Le projet permettra au partenaire (Eacom) d’initier des discussions sur les liens entre les changements climatiques estimés et les stratégies d’aménagement à développer.

Voir la description complète du projet
Superviseur du corps professoral :

Yves Bergeron

Étudiant :

Partenaire :

EACOM Timber Corporation (QC)

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Forestry; Natural Resources

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Elevate

Établissement de liens entre les changements climatiques anticipés et la classification écologique d’une portion de la forêt boréale et tempérée de l’Ouest du Québec

Cette demande porte sur les changements de végétation anticipés sous l’effet des changements climatiques, à la jonction entre le domaine de la sapinière à bouleau jaune (forêt tempérée) et celui de la sapinière à bouleau blanc (forêt boréale) (Figures 1 et 2). Nous quantifierons les différences entre le climat actuel et celui qui prévaudra dans le futur (stress climatique) dans les 4 régions écologiques à l’étude. Les régions écologiques actuelles (ex. 5b) seront mises en relation avec les régions où le climat estimé sous l’effet des changements climatiques est actuellement observé (ex. 3b) (analogues climatiques). Afin de mieux comprendre les changements de végétation susceptibles de se produire sous l’effet du climat (2070-2100), nous caractériserons la dynamique forestière contemporaine des végétations potentielles du territoire d’étude, à l’exemple de la sapinière à bouleau blanc (Figure 3). Nous poserons l’hypothèse que les végétations potentielles de la forêt tempérée, notamment les érablières nordiques, pourraient se déplacer vers la forêt boréale. Ces données empiriques seront ensuite utilisées afin d’interpréter les changements de couvert forestier simulés à partir de trois types de modélisation. Le projet permettra au partenaire (Eacom) d’initier des discussions sur les liens entre les changements climatiques estimés et les stratégies d’aménagement à développer.

Voir la description complète du projet
Superviseur du corps professoral :

Yves Bergeron

Étudiant :

Partenaire :

EACOM Timber Corporation (QC)

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Forestry

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Elevate

Towards Clinical Use of Whole Genome Sequencing based Tests in a Clinical Setting – Year two

Using genomics in clinical care has the potential to treat patients more efficiently. There have been a number of recent discoveries of genomic assays that can guide treatment. However, most genomic data is generated in a research setting and useful health data only in a clinical setting. Translating potential genomic research into a clinical setting as well as bringing clinical data into a research setting faces significant challenges. One challenge is technical: genomic tests often take days to run and are thus not efficient enough for a clinical use. Another challenge is the public perception: because genomic data is very private, the patient’s privacy needs to be ensured and the public opinion about this has to be respected. A final challenge is logistic: how can genomic data be linked into clinical records when the data is generated at different sites and different organizations have to be involved.
We propose to address these challenges. We will gather best practices and key characteristics of already successfully established genomic projects that cooperate with clinical sites. We will identify one or two clinical sites within Ontario that are positioned to implement genomic tests and start to integrate them. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Quaid Morris

Étudiant :

Partenaire :

Vector Institute;University of Toronto

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Towards Clinical Use of Whole Genome Sequencing based Tests in a Clinical Setting

Using genomics in clinical care has the potential to treat patients more efficiently. There have been a number of recent discoveries of genomic assays that can guide treatment. However, most genomic data is generated in a research setting and useful health data only in a clinical setting. Translating potential genomic research into a clinical setting as well as bringing clinical data into a research setting faces significant challenges. One challenge is technical: genomic tests often take days to run and are thus not efficient enough for a clinical use. Another challenge is the public perception: because genomic data is very private, the patient’s privacy needs to be ensured and the public opinion about this has to be respected. A final challenge is logistic: how can genomic data be linked into clinical records when the data is generated at different sites and different organizations have to be involved.
We propose to address these challenges. We will gather best practices and key characteristics of already successfully established genomic projects that cooperate with clinical sites. We will identify one or two clinical sites within Ontario that are positioned to implement genomic tests and start to integrate them. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Quaid Morris

Étudiant :

Partenaire :

Vector Institute;University of Toronto

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Efficacy and insect resistance management of new insecticidal proteins targeting western bean cutworm in Ontario, Canada – Year two

Western bean cutworm (WBC) is the most important corn pest in Ontario and lack of control can reduce grain yield and quality due to insect feeding and mycotoxin contamination. Unlike other primary corn pests, WBC are not controlled by most transgenic corn expressing Bt proteins. Monsanto has developed new insecticidal proteins to which WBC are susceptible according to preliminary research. To support long-term use of these promising management tools, this project aims to generate information necessary to develop an insect resistance management (IRM) plan. Life history parameters for WBC with and without exposure to these proteins will be determined using standard and novel bioassay techniques. Novel bioassay techniques using relevant corn tissues typically encountered by key WBC life stages in the field will be used to determine WBC susceptibility to realistic plant expression levels. Field experiments will be conducted to determine the efficacy of new proteins against WBC in Ontario and the optimal transgenic events for expression in commercial corn hybrids. Lastly, field experiments will be conducted to evaluate the efficacy and durability of proposed IRM strategies for new insecticidal proteins. The ultimate goal of this research is to investigate new, durable management options for WBC in Ontario.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Schaafsma

Étudiant :

Partenaire :

University of Guelph;Bayer CropScience Canada (ON);Monsanto Canada Inc

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Guelph

Programme :

Elevate

Efficacy and insect resistance management of new insecticidal proteins targeting western bean cutworm in Ontario, Canada

Western bean cutworm (WBC) is the most important corn pest in Ontario and lack of control can reduce grain yield and quality due to insect feeding and mycotoxin contamination. Unlike other primary corn pests, WBC are not controlled by most transgenic corn expressing Bt proteins. Monsanto has developed new insecticidal proteins to which WBC are susceptible according to preliminary research. To support long-term use of these promising management tools, this project aims to generate information necessary to develop an insect resistance management (IRM) plan. Life history parameters for WBC with and without exposure to these proteins will be determined using standard and novel bioassay techniques. Novel bioassay techniques using relevant corn tissues typically encountered by key WBC life stages in the field will be used to determine WBC susceptibility to realistic plant expression levels. Field experiments will be conducted to determine the efficacy of new proteins against WBC in Ontario and the optimal transgenic events for expression in commercial corn hybrids. Lastly, field experiments will be conducted to evaluate the efficacy and durability of proposed IRM strategies for new insecticidal proteins. The ultimate goal of this research is to investigate new, durable management options for WBC in Ontario.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Schaafsma

Étudiant :

Partenaire :

Monsanto Canada Inc;University of Guelph

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Guelph

Programme :

Elevate

Combining data science and wearable technology for early health risk detection

It has been well established that if human diseases can be diagnosed early, the prognosis and future quality of life is much improved. With advancements in computing technology in both the hardware (e.g. smaller, lighter, better batteries) and software (i.e. improved artificial intelligence), health systems are entering a renaissance when wearable technology and data science are being applied to clinical diagnostics. The fellowship’s objective is two-fold in which the first is to assess the validity and durability of Ultimate Sensor System’s wearable technology, and secondly, apply their wearable technology to clinical health applications including early health risk detection through the use of data science methods. Phase 1 will consist of reliability, validity, and durability testing of the wireless system while Phase 2 will apply machine learning methods to identify neuromotor diseases (e.g. Parkinson’s disease) and predict future cases. This portable ehealth system will offer Canadians an early detection system that has incredible potential, particularly for remote communities who have difficulties coordinating continual health professional services. By doing so, Ultimate Sensor Systems (industry partner) will directly benefit from this collaboration as they will become global leaders in data science/ehealth systems, which entices new customers and increases their global market share.

Voir la description complète du projet
Superviseur du corps professoral :

Ryan Graham

Étudiant :

Partenaire :

Ultimate Sensor Systems;University of Ottawa

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Elevate

Development of a novel IPM strategy for brown marmorated stink bugs (Halyomorpha halys) using RNA interference (RNAi) technology – Year two

Brown marmorated stink bug (BMSB) (Halyomorpha halys (Stål)) is an invasive pest with a large host range that includes many economically important fruits, vegetables, and row crops. Native to Asia, BMSB was first detected in North America in 1998 and since has become established in British Columbia, Quebec, and Ontario; and 44 American states.
In order to develop efficient BMSB focused integrated pest management program (IPM), it is critical that novel alternative control tactics are investigated primarily because there are no effective insecticides available. RNA interference (RNAi) is a form of genetic control that has shown promise as a management tactic for BMSB. In this context, we aim to investigate RNAi for BMSB management. We will use genetic and proteomic tools to design new dsRNA (n = 10) in order to affect all BMSB life stages. We will test the effects of dsRNA, first independently then in multiple combinations, on BMSB populations raised in the laboratory. The most efficient combinations (n = 3) will finally be tested in the field to assess their efficiency under natural conditions. Our project will be the first step in the development and potential commercialization of a control of BMSB, efficient in the long term.

Voir la description complète du projet
Superviseur du corps professoral :

Cynthia Scott-Dupree

Étudiant :

Partenaire :

Bayer CropScience Canada (AB);University of Guelph

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Guelph

Programme :

Elevate

Development of a novel IPM strategy for brown marmorated stink bugs (Halyomorpha halys) using RNA interference (RNAi) technology

Brown marmorated stink bug (BMSB) (Halyomorpha halys (Stål)) is an invasive pest with a large host range that includes many economically important fruits, vegetables, and row crops. Native to Asia, BMSB was first detected in North America in 1998 and since has become established in British Columbia, Quebec, and Ontario; and 44 American states.
In order to develop efficient BMSB focused integrated pest management program (IPM), it is critical that novel alternative control tactics are investigated primarily because there are no effective insecticides available. RNA interference (RNAi) is a form of genetic control that has shown promise as a management tactic for BMSB. In this context, we aim to investigate RNAi for BMSB management. We will use genetic and proteomic tools to design new dsRNA (n = 10) in order to affect all BMSB life stages. We will test the effects of dsRNA, first independently then in multiple combinations, on BMSB populations raised in the laboratory. The most efficient combinations (n = 3) will finally be tested in the field to assess their efficiency under natural conditions. Our project will be the first step in the development and potential commercialization of a control of BMSB, efficient in the long term.

Voir la description complète du projet
Superviseur du corps professoral :

Cynthia Scott-Dupree

Étudiant :

Partenaire :

Bayer CropScience Canada (AB);University of Guelph

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Sustainability & the Environment; Life Sciences (not health)

Université :

University of Guelph

Programme :

Elevate

Characterization of Active Ingredient in Buckwheat

Buckwheat contains an active ingredient that lowers blood glucose in diabetic rats. The active ingredient is not a known compound such as chiro-inositol or rutin. The goal of this project is to fractionate buckwheat by a technique known as countercurrent chromatography (CCC) and determine the presence of a biological activity. This is important for setting the foundation to 1) monitor the levels of the active ingredient in buckwheat (as affected by variety, growing conditions and season), 2) determine how levels of active ingredient are affected by processing, 3) standardize the amount of active ingredient in functional food products and thus meet Health Canada requirements, and 4) provide a screening tool for further enhancement of buckwheat varieties by plant breeding.

Voir la description complète du projet
Superviseur du corps professoral :

Harold Aukema

Étudiant :

Partenaire :

Prairie Skyline Ventures, Ltd

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Manitoba

Programme :

Accelerate

Classification of human emotions from physiological signals using machine learning techniques

The project goal is to develop a system to classify the emotions of individuals with dementia. To achieve this goal, the applicant will have to design and test a machine learning algorithm that will extract important features from physiological signals such as heart-rate, skin conductance and skin temperature. Then, the algorithm will be trained using labels and insights generated by primary caregivers to automatically classify significant emotional states. Finally, the applicant will also work in the integration of the whole acquisition and processing systems through an app designed to work in any Android or iOS smartphone. This guarantees the versatility and portability of the system as a whole, and it will allow the users to use this system in any setting, where the caregivers will be able to identify, assess, and control the situations and places that cause distress in the users.

Voir la description complète du projet
Superviseur du corps professoral :

Stefanie Blain-Moraes;Robert Kearney

Étudiant :

Partenaire :

Aix-Marseille Université

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Précédent
1...2,3372,3382,3392,3402,3412,3422,343...2,513
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire