Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

External visual observers for understanding manufacturing operations & predicting faults

ATS Automation Tooling Systems Inc. provide solutions for factory design and automation. Their life sciences division provides manufacturing solutions for world leading companies engaged in medical devices, pharmaceuticals & diagnostics. ATS also develops automation systems for the transportation, energy as wells the consumer & electronics sectors. The Vision Image Processing (VIP) lab at the University of Waterloo is dedicated to understanding visual processes and finding solutions for the outstanding problems in image and video processing and intelligent systems. ATS currently utilizes camera sensors in machine vision monitoring of existing processes in addition to a collection of other sensors. After a manufacturing machine is produced, it is difficult to retrofit an existing machine with new sensors. This project will explore external observing cameras that can be placed around the machine and learn what is the normal operation and be able to detect and predict anomalous operations. There are three machine scenarios of interest: (1) a conveyor system; (2) an assembly machine; and (3) a bowl feeder machine. however VIP hopes to improve robustness and accuracy by providing AI based algorithms that understand the process including the visual scene landscape of the manufacturing process components and parts.

Voir la description complète du projet
Superviseur du corps professoral :

John Zelek

Étudiant :

Partenaire :

ATS Automation

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

An NLP-based approach for Pipeline Monitoring and Leak Detection

Pipelines are an imperative part of the energy sector and have a substantial impact on the Canadian environment, and economy. The slightest mishap in pipelines can lead to devasting environmental impacts as well as huge financial consequences. Therefore, developing sound automated pipeline monitoring by leveraging artificial intelligence (AI) and machine learning (ML) for safe and reliable leak detection is highly desirable. The use of ML/AI techniques in pipeline monitoring is challenging mainly due to the vast amount and frequency of data. This study seeks to devise an innovative and novel Natural Language Processing (NLP)-based approach for pipeline leak detection by leveraging Hifi’s innovative fiber technology which provides a recognizable sequence, known as signature, to events based on the sounds they make.

Voir la description complète du projet
Superviseur du corps professoral :

Mohammad Moshirpour

Étudiant :

Partenaire :

Hifi Engineering Inc

Discipline :

Engineering

Secteur :

Mining

Université :

University of Calgary

Programme :

Accelerate

Storage, fluidization, and distribution of the high solid fraction ice slurry

Deepchill and slurry ice is a dynamic medium whose fluid properties change with many different factors such as solute concentration, ice fraction or thickness, temperature, time (settling) and agitation. Once it is generated, it must be stored in different forms depending on the required final applied. Storage, fluidization and distribution of this medium is a critical part of the Deepchill System. The primary objective of this project is to simplify the design and operation of the system with reference to storage and discharge. The second goal of the system is to increase the density of storage by 50-70% and thus reducing the size and cost of the storage vessel.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Mkandawire

Étudiant :

Partenaire :

Deepchill Technologies

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Cape Breton University

Programme :

Accelerate

Application of deep learning generative network algorithms linked with super-resolution methods and fusion techniques to improve the quality of noisy and unlabeled ultrasound images

We aim at developing new approaches which have not been performed so far, such as i) enhancing the resolution and quality of noisy and unlabeled conventional ultrasound images through deep learning SRMs, ii) synthesizing high-quality MRI from the enhanced ultrasound images through generative networks, iii) fusing ultrasound and synthetic MRI images for different aspects such as classification, early diagnosis, clustering, segmentation, iv) employing few-shot learning approach in the adversarial training process to reduce processing time, computational costs and training data and others, and v) assessing the developed algorithms via quantitative and qualitative validation, different public ultrasound datasets and available ultrasound data. The partner benefits from this project through developing and sharing an open-source code for future medical imaging research, attracting top talent in a competitive AI job market, several scientific publications, processing and analysis of ultrasound images, and gaining domain knowledge through interaction with the intern and intern’s academic/clinical supervisor and others.

Voir la description complète du projet
Superviseur du corps professoral :

Ilker Hacihaliloglu

Étudiant :

Partenaire :

Microsoft Canada Development Centre

Discipline :

Life Sciences

Secteur :

Artificial Intelligence; Health and Related Sciences & Technology; Technology

Université :

The University of British Columbia

Programme :

Accelerate

Regulation of T-type calcium channel activity by targeting channel trafficking – a novel approach for pain management Year two

Current therapies to manage pain either result in side effects or are insufficient and the associated medical costs and loss of work days come pose a tremendous socioeconomic burden. We recently showed that T-type channel activity is aberrantly regulated in inflammatory and neuropathic pain by the deubiquitinase USP5, and we have begun to explore this mechanism as a new therapeutic avenue based on interfering TAT peptides. We now plan to test our TATpeptides in diabetic neuropathy and inflammatory bowel pain. We also plan to generate additional TAT peptides to enhance efficacy in vivo and validate them at the cellular and whole animal level. Compared with ion channel blockers which often lack specificity, our approach specifically targets a process that is involved in aberrant upregulation of channel activity, while sparing normal channel function, thus reducing the risk of adverse side effects.

Voir la description complète du projet
Superviseur du corps professoral :

Gerald Werner Zamponi

Étudiant :

Partenaire :

Innovate Calgary;University of Calgary

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Calgary

Programme :

Elevate

Selecting appropriate steel-grades for polar-class icebreakers construction

In shipbuilding industry, selecting an appropriate grade of steel and the associated characterization techniques, tailored well for low temperature application, have always been a challenge. This subject can be even more critical when we are talking about the materials selection and the characterization techniques for polar class icebreakers. Therefore, Chantier Davie Canada Inc. (CDCI) in a close collaboration with Université du Québec à Chicoutimi (UQAC) has defined the current research project to address the challenges on the material (i.e., steel grade) selection in manufacturing the vessel used in polar class icebreakers.

Voir la description complète du projet
Superviseur du corps professoral :

Mousa Javidani

Étudiant :

Partenaire :

Davie

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

The cellular-molecular landscape of the living human hippocampus

The human brain consists of more than 100 billion cells, many with specific structures and functions, performing complicated computations every day. Understanding these properties is a key component for the development of therapies for neurological disorders such as epilepsy, depression and brain tumours. So far, most of our knowledge of the human brain has been informed by model organisms engineered to replicate parts of the human brain. However, these studies do not fully capture the unique and complex properties of the human brain.
For our proposed project, we will use surgically removed brain samples from patients suffering from epilepsy. As part of one of very few laboratories worldwide with access to these precious samples, we will use cutting-edge methods and technology to identify gene-expression differences in individual cells. Leveraging this cellular-resolved access and knowledge, will help us identify new mechanisms involved in epilepsy, and develop novel therapeutic strategies.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Cembrowski

Étudiant :

Partenaire :

Universität Bremen

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Globalink Research Award

Estimation dynamique de l’état des lignes du réseau de transport électrique d’Hydro-Québec par des approches statistiques avancées.

Le conducteur est un élément critique d’une ligne de transport d’électricité. Il est sujet à la corrosion affectant significativement sa durée de vie. Hydro-Quebec surveille avec un vif interet l’etat de corrosion de ses 34 000 km de lignes haute tension et voudrait estimer dynamiquement l’état de cet actif majeur pour optimiser sa valeur d’un point de vue fiabiliste. En premier lieu, le projet consiste à effectuer une revue du phénomène de corrosion des conducteurs, ainsi que des données disponibles sur les essais accélérés de corrosion. Le projet se basera sur des données représentatives des lignes, compilées sur le réseau de transport d’électricité d’Hydro-Québec, et intégrant des données d’inspection, de remplacement, d’échantillons et de mesures non-destructives. Ces informations seront exploitées dans un modèle prédisant les durées de vie résiduelle. Enfin, ces prédictions pourront être ajustées dynamiquement fournissant ainsi une précieuse aide à la décision pour justifier les stratégies de maintenance des lignes.

Voir la description complète du projet
Superviseur du corps professoral :

Luc Chouinard

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Engineering

Secteur :

Energy and Utilities; Sustainability & the Environment; Other

Université :

McGill University

Programme :

Accelerate

Narratives of War

Lesya Ukrainka Volyn National University has collected over 1000 narratives written by Ukrainian civilians about their experience of the ongoing Russia-Ukraine war. The objective of this research project is to use the narratives to discover commonalities in the language of the writers and to find whether there are linguistic markers of trauma across the narratives. To achieve this goal, we will use computational linguistic methods such as deep learning topic models, word frequency analysis, emotive word analysis, and word valence (positivity and negativity).This research will identify linguistic markers of living through war, and the trauma it causes. We will also analyze diagnostic tests that participants filled out in relation to their narratives. This analysis will assist mental health professionals who help war survivors. The results of this project can also be used for understanding the psychological impact of war on civilians.

Voir la description complète du projet
Superviseur du corps professoral :

Victor Kuperman

Étudiant :

Partenaire :

Lviv Polytechnic National University

Discipline :

Life Sciences

Secteur :

Information and Communications Technology

Université :

McMaster University

Programme :

Globalink Research Award

Using a bottom-up approach to characterize the PEI agriculture sector within an energy system model of Atlantic Canada

The path to reaching net-zero emissions by 2050 in Atlantic Canada is both time- and resource-constrained. Energy system models can be used in this context to compare climate change mitigation options and to strategically plan for meeting climate change goals through cost-effective and timely means. Motivated by these circumstances, Net Zero Atlantic is building an open-source energy system model for Atlantic Canada that will serve as a shared tool for answering questions about our region’s transition to net zero emissions. To provide the best utility to regional decision-makers, the Atlantic Canada Energy System (ACES) model must be able to present pathways to net zero emissions that account for emissions across all economic sectors, including the agriculture sector which is responsible for a significant percentage of greenhouse gas emissions within the province of New Brunswick and Prince Edward Island. At present, provincial agricultural sectors are represented in a course, top-down format. Although this is an improvement from standard energy system modelling practice which omits the agriculture sector entirely, it prevents users of the ACES model from being able to understand how the agriculture sector fits into Atlantic Canada’s transition to net-zero emissions.

Voir la description complète du projet
Superviseur du corps professoral :

Aitazaz Farooque

Étudiant :

Partenaire :

Net Zero Atlantic

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Prince Edward Island

Programme :

Accelerate

New 2-amino-4-arylimidazole derivatives mimic the core structure of some marine alkaloids

The results obtained in this project will lead to new tools for the preparation of molecules of interest, possibly with biological activities. These studies will contribute to the development of new green synthetic methods using environmentally friendly catalysts.
Efficient and practical synthetic methods are in high demand in the industrial and academic sectors. In particular, the pharmaceutical sector is highly interested in new efficient preparations of small organic molecules as high added-value building blocks.
This work aims to synthesize potentially biologically active compounds that mimic metabolites of marine sponges. The project under consideration has an actual pharmacological use. Firstly, the specific synthetic scheme as a general procedure will facilitate the work of both chemists and pharmacologists. Secondly, expected biologically activities of the obtained substances have a wide range of applications. The most important activities of them: antitumor, antibacterial, antihistamine, fungicidal. It is also known about the ability of substituted 2-aminoimidazoles to inhibit human ?-secretase (BACE1), NO-synthase and act as tubulin-binding agent. Thirdly, this research opens new routes for the synthesis of heterocyclic compounds, which are known to play an important role in pharmacy. The present project is a step towards the discovery of many essential drugs.

Voir la description complète du projet
Superviseur du corps professoral :

Thierry Ollevier

Étudiant :

Partenaire :

National University of Kharkiv

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Life Sciences (not health); Sustainability & the Environment

Université :

Université Laval

Programme :

Globalink Research Award

Identifying and addressing bottlenecks in the capture and conversion of CO2 to liquid fuels

Climate change continues to exacerbate around the world. Capturing greenhouse gases like CO2 directly from air is becoming more and more important to reduce the magnitude of severe climate change. Efficient conversion of the captured CO2 into liquid fuels such as methanol has the potential to revolutionize green energy technologies and displace fossil fuels. Leveraging the interdisciplinary capabilities at Dr. Khan’s lab at SFU and Dr. Marshall’s lab at University of Canterbury, this project aims to standardize a continuous flow electrochemical system to capture and convert CO2 directly from air.

Voir la description complète du projet
Superviseur du corps professoral :

Sami Khan

Étudiant :

Partenaire :

University of Canterbury

Discipline :

Engineering

Secteur :

Clean Technology; Energy and Utilities; Sustainability & the Environment

Université :

Simon Fraser University

Programme :

Globalink Research Award

Précédent
1...1,0671,0681,0691,0701,0711,0721,073...2,473
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’abonner