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

AN ASSESSMENT OF THE USAGE OF COLLABORATIVE ROBOTICS IN THE SOUTH AFRICAN CONSTRUCTION INDUSTRY

The proposed research project assesses how collaborative robotics can be used in the construction industry. Humans may now engage and collaborate with robotics (Cobots), which are gradually being employed in the construction sector; therefore it is important to thoroughly understand the functions of Cobots and how they will assist in the near future. The purpose of the research is to evaluate the current use and future implementation of Cobots in the South African and Canadian construction industry. The sectors that will be mainly focused on include: the different types of Cobots, construction phases where Cobots can be applied, benefits and challenges of using Cobots, as well the critical factors of implementing Cobots. Expected outcomes of the study include potential applications to the construction industry and research publications (articles and journals). The possible findings for this research are: some professionals are not familiar with collaborative robotics and don’t utilize them on a daily basis.

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Superviseur du corps professoral :

Sharfuddin Ahmed Khan

Étudiant :

Partenaire :

University of Johannesburg

Discipline :

Engineering

Secteur :

Education

Université :

University of Regina

Programme :

Globalink Research Award

Composition of the diatom community of the Shahroud River and its tributaries (Qazvin water basin)

The floral composition, including algae, of the Qazvin basin, is poorly known. This basin is located on a mountain range that is a very important place in the world for its biodiversity and endemism, generated by the geological and topographic complexity. In this project we will identify the diatoms (silica algae) that inhabit the Shahroud River, collected from seven stations along the river, and compare and complement with chemical and physical data from the water also collected at the stations. The main aims of this project are: 1) to characterize the diatom composition of the river, upstream and downstream, 2) identify sites of pollution as indicated by diatoms and physico-chemical data, and, 3) to assess and characterize the water quality of the river. Results from this research are significant as they will help to contribute to the understanding of the biogeography of the diatoms in this region, and assess water quality of the basin.

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Superviseur du corps professoral :

Maria Velez

Étudiant :

Partenaire :

Islamic Azad University

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Sustainability & the Environment; Natural Resources

Université :

University of Regina

Programme :

Globalink Research Award

Cortical microstructural asymmetry in the human brain: laminar differentiation, organization, and heritability

Lateralization is one of the key principles of human brain organization. With a background in neuroimaging analysis of brain inter-hemispheric differences, the applicant Bin Wan will conduct his project in a Canadian research group which focuses on multimodal neuroimaging data. The intern will help with data acquisition of 7 Tesla MRI data in healthy individuals and will gain the experience of state-of-art neuroimaging techniques. He will get access to and deal with three datasets the research group have worked with including Human Connectome Project (n=1000), MICA-MICs 3T (n=50), MICA-MICs 7T (n=20), BigBrain (n=1), and AHEAD (n=2). In turn, he will analyze the hemispheric asymmetry on cortical microstructure using multimodal data, and draft a scientific manuscript of the project, which is expected to be published jointly after the internship.

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Superviseur du corps professoral :

Boris Bernhardt

Étudiant :

Partenaire :

Forschungszentrum Jülich (Institut für Neurowissenschaften und Medizin)

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Health and Related Sciences & Technology; Artificial Intelligence

Université :

McGill University

Programme :

Globalink Research Award

Image processing and machine learning for equine image analysis

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; and 2) developing automatic assessment of horse phalanges from x-ray images. We believe that the developed DL methods can provide useful assisted-diagnostic tools that eases and speeds up the work of veterinarians. The developed algorithms will be integrated into the partner’s products, thereby significantly enhancing their competitiveness in the market, and contributing more to Canadian job market.

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Superviseur du corps professoral :

Jane Wang

Étudiant :

Partenaire :

Point To Point Research and Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Structural-property relationship in actinyl complexes

The increasing demand for low-carbon energy has begun to amplify the development and usage of nuclear power. However, the generated nuclear waste is radiotoxic mainly due to the presence of heavy nuclei, such as actinides along with other fission products. This rises the need for selective remediation and storage of all radioactive actinides using non-toxic extractants. The major goals of this proposed project are twofold, (i) to utilize quantum-chemical calculations to design chemically efficient extractants with enhanced affinity towards actinides and its compounds, (ii) to understand the fundamental behaviour of unique 5f electrons of actinides and its dioxo compounds prior to and on complexation with these extractants.

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Superviseur du corps professoral :

H. Georg Schreckenbach

Étudiant :

Partenaire :

SRM Institute of Science and Technology

Discipline :

Computer science

Secteur :

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

Université :

University of Manitoba

Programme :

Globalink Research Award

Calcium Carbonate Nanomaterial Foliar Sprays to Increase Climate Resiliency in Vineyards

Climate change is impacting food and agricultural crops through a variety of new challenges such as intense heat, unusually intense storms, unseasonal warming and freezing events and wildfires. Plants are not able to move and therefore cannot avoid climate shocks or relocate to find resources. Protecting crops from climate damage is critical to ensuring the sustainability of Canadian agricultural production systems. Imasco Minerals Inc. has a patented technology for production of nanomaterials of calcium carbonate. They have been working with several partners to develop proprietary manufacturing and blending technologies that produce foliar sprays to protect plants from climate damage. A small number of nano-calcium carbonate foliar sprays are already in the market in the USA and China. These sprays are thought to protect the photosynthetic apparatus in leaves thereby allowing the plants to continue to grow under intense light and heat. Agricultural industries in Canada use preparations of large clumps of calcium carbonate to control fungus blights but the nano-materials are not commonly used in Canada. As well, the exact physiological mechanisms of activity of nano-calcium carbonate in plants is not known.

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Superviseur du corps professoral :

Susan Murch;Lauren Erland

Étudiant :

Partenaire :

Imasco Minerals Inc.

Discipline :

Physics

Secteur :

Agriculture and Food; Nanotechnology

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Effet du changement climatique sur l’évolution de la dynamique fluviale de la rivière Beaver Creek (Yukon, Canada), au cours des dernières décennies

Ce projet de recherche vise à étudier les effets du changement climatique en cours sur la dynamique fluviale d’une rivière évoluant en milieu périglaciaire (Beaver Creek, Yukon, Canada). L’évolution de sa dynamique sera reconstituée à partir d’images satellites et photographies aériennes en caractérisant les déplacements des îles et berges. A cette fin, seront analysés par l’intermédiaire de traitements cartographiques et statistiques les effets des modifications ayant affecté le régime hydrologique du cours d’eau, la température de l’air dans le fond de vallée, l’épaisseur et le type de pergélisol dans la plaine alluviale, et la nature du couvert végétale au sein du bassin-versant.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Fortier

Étudiant :

Partenaire :

Université Paris 1 Panthéon-Sorbonne

Discipline :

Earth science

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Dynamique environnementale d’un sous-bassin de l’hydrosystème de Drâa, sud du Maroc

Le projet de la stagiaire Imane Nafouri, vise l’élaboration d’une carte de risque d’érosion hydrique de Dadès, un des principaux sous-bassins de l’hydrosystème de Drâa, situé au sud du Maroc. L’ensemble de cet hydrosystème est affecté par des évènements météorologiques extrêmes, à savoir des périodes de sécheresses sévères et quelques épisodes de précipitations soudaines et intenses. Toutefois, très peu d’études ont porté sur cet enjeu.
Les zones à risque d’érosion seront cartographiées en se basant sur les données de la télédétection (modèle numérique de terrain, images satellitaires, photographies aériennes, et images LiDAR (Light Detection and Ranging) et sur les données de terrain et de laboratoire (sédimentologie, minéralogie) qui sont en cours d’acquisition depuis l’automne 2022.
Ce projet s’inscrit d’un projet global soumis par les co-superviseurs du stage au Ministère des Affaires internationale et Francophonie suite à l’Appel à projet Québec-Royaume du Maroc 2022-2023, intitulé : Dynamiques hydro-géomorphologiques d’un socio-hydrosystème désertique

Voir la description complète du projet
Superviseur du corps professoral :

Najat Bhiry

Étudiant :

Partenaire :

Cadi Ayyad University

Discipline :

Earth science

Secteur :

Education

Université :

Université Laval

Programme :

Globalink Research Award

Application of multi-agent systems and block chains in additive manufacturing network scheduling

Additive manufacturing technologies enable facilities at any location in the global supply chain to bid for customer jobs. In this setting, job scheduling is based on due-dates, proximity to customer location, opportunities for cheaper consolidated shipments with other customers, etc. Both multi-agent systems and block chains can support scheduling for decentralized manufacturing. In this project, the student is expected to investigate how these technologies can work together and support intelligent scheduling of additive manufacturing tasks. The project will involve a broad literature review and the development of a case study with numerical modelling, implementation, and analysis.

Voir la description complète du projet
Superviseur du corps professoral :

Uday Venkatadri

Étudiant :

Partenaire :

ISEN

Discipline :

Engineering

Secteur :

Advanced Manufacturing; Information and Communications Technology; Other

Université :

Dalhousie University

Programme :

Globalink Research Award

Robust scheduling of liner shipping under disruption scenarios

This research proposes a new recovery model for addressing issues with container ship disruptions. To minimize the negative impact of these disruptions, the model formulates a mixed-integer programming approach that simultaneously considers three recovery strategies, namely vessel speeding-up, port skipping, and alternative routes.
The study clusters call-ports and utilizes port hubs to minimize transshipment costs while considering factors such as port capacity, queuing time for loading/unloading, and the economic value of cargo to identify the optimal port hubs.
The nonlinear problem is initially linearized using precise methods and then solved using CPLEX software. The results are anticipated to demonstrate a reduction in disruption losses. To account for the uncertainty in delay duration and disruption location, the study uses a robust optimization approach as a two-stage stochastic programming methodology.

Voir la description complète du projet
Superviseur du corps professoral :

Hamid Afshari

Étudiant :

Partenaire :

ISEN

Discipline :

Engineering

Secteur :

Transportation (excluding aerospace); Sustainability & the Environment; Ocean Tech

Université :

Dalhousie University

Programme :

Globalink Research Award

Hole spin in direct bandgap group IV quantum dots

This internship is to investigate the properties of charge carriers confined into nano-scale structures commonly known as quantum dots. The internship will focus on exploring a novel family of group IV semiconductors exhibiting a direct bandgap. The core paradigm here is to harness the favorable properties of hole spin in group IV quantum dots along with the efficient interaction with photons resulting from the bandgap directness to engineer new device architectures for quantum computing and quantum communication. The spin of a charge carrier is central in these technologies as it provides the mean to encode information. Thus, this research aims at modeling the properties of spins in group IV quantum dots and how resilient the spins are to electrical noise and coupling with the environment. This research will address a significant gap in the current knowledge pertaining to spin dynamics in emerging silicon-compatible materials with numerous attractive properties regrading performance and information transfer efficiency. This collaboration will thus extend the knowledge in the field of quantum technologies towards a new family of devices with properties leading to high quality spin systems and their effective interface with photons.

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Superviseur du corps professoral :

Oussama Moutanabbir

Étudiant :

Partenaire :

University of Basel

Discipline :

Physics

Secteur :

Quantum Science; Nanotechnology

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Assessing Snow Properties’ Impact on Various Sensors with the Snow Microwave Radiative Transfer Model

Arctic Sea-ice extent is declining due to climate change. Wildlife, maritime operations and northern communities that depend on sea-ice for traveling and hunting are negatively affected by its decline. Monitoring sea-ice thickness is an important tool to help in decision making in Arctic regions but, due to the snow covering the sea-ice, remote sensing’s sea-ice thickness retrieval methods are not yet accurate enough to assess every situation.
The Snow Microwave Radiative Transfer (SMRT) model is used to understand how snow properties impact radar scattering. This internship offers the first opportunity to assess the capacity of SMRT to simulate a frequency-modulated continuous wavelength radar responses to snow properties on sea-ice. It will also allow to evaluate the influence of snow variability and its aggregation across different footprint sizes of space born sensors, such as Sentinel-1 and CryoSat-2. This work will contribute directly to increase the accuracy of sea-ice thickness retrievals.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandre Langlois

Étudiant :

Partenaire :

Northumbria University

Discipline :

Earth science

Secteur :

Environmental Science and Technology; Water; Aerospace

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

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