Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Integrating Drone Imagery, advanced AI, and Remote Sensing for Assessing Success Rate of Natural and Artificial Forest Regeneration in Post-Wildfire Landscapes

This research project aims to address the existing knowledge gap regarding the effectiveness of drone-based reforestation compared to natural forest regeneration in post-wildfire areas. This study seeks to provide valuable insights into its benefits, limitations, and potential for large-scale reforestation efforts. The research outcomes will contribute to the scientific understanding of drone-based reforestation, guide reforestation strategies, and inform decision-making by stakeholders. Collaborating on this research project will provide substantial benefits to the TreeTrack. Firstly, their involvement will allow them to improve their existing drone tree planting methods through a comprehensive scientific evaluation. The research findings will enable the TreeTrack to fine-tune their operations, identify areas for optimization, and enhance the overall efficiency of their reforestation efforts. Additionally, being associated with a rigorous scientific study will enhance the TreeTrack’s reputation as a leader in the field and provide them with a competitive edge in the emerging market of drone-based reforestation.

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Superviseur du corps professoral :

Siamak Arzanpour

Étudiant :

Partenaire :

Tree Track Intelligence

Discipline :

Earth science

Secteur :

Agriculture

Université :

Simon Fraser University

Programme :

Accelerate

Optimization of Energy Distribution for Electric Vehicles Charging

This project addresses the growing challenges associated with the increasing demand for Electric Vehicles (EVs) within the context of a global shift towards sustainable energy solutions. The surge in EV adoption, while beneficial for the environment, poses challenges on the energy grid due to frequent and high-powered charging, leading to more frequent peaks and potential failures of the energy grid. The proposed solution involves storing energy during off-peak hours and discharging it strategically, but the complexities arise from the impact of charging patterns on battery life cycle. Leveraging the power of Artificial Intelligence (AI) and optimization, the project aims to develop an innovative solution. Specifically, it suggests scheduling slow charging during off-peak hours through a collaboration between Carleton University and BluWave.ai. This strategic partnership combines expertise in data engineering, computational geometry, and advanced optimization techniques to create an optimizer. The primary objective is to achieve a harmonious balance between the load on the energy grid and the longevity of EV batteries, fostering a sustainable and efficient approach to electric vehicle charging.

Voir la description complète du projet
Superviseur du corps professoral :

Prosenjit Bose

Étudiant :

Partenaire :

Bluwave-AI

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Carleton University

Programme :

Accelerate

Advancement of a Precision Diagnostic Tool for Detecting Muscle Atrophy-Associated Small Molecules.

The management of musculoskeletal diseases is essential for reducing pain and disability,
preventing disease progression, maintaining independence, and promoting mental well-being. By
effectively managing these conditions and facilitating individualized therapy approaches, society as a
whole will benefit from reduced healthcare costs and improved economic productivity. Early detection
and proactive care are vital for the management of these diseases. In here, we are creating a point-ofcare
technology to enable real time monitoring of muscle degeneration. Our project will allow for the
development of this technology which uses a proprietary panel of biomarkers to assess muscle health
and monitor muscle atrophy. This innovative technology will empower more efficient healthcare,
enhance rehabilitation, and disease state.

Voir la description complète du projet
Superviseur du corps professoral :

Christa Brosseau

Étudiant :

Partenaire :

Myomar Molecular Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Saint Mary's University

Programme :

Accelerate

Universal Resource Strategy

The long wait for pediatric rehabilitation requires that service providers support families in new and innovative ways while they wait for service. Tiered service delivery is a model where each tier represents a higher intensity of service. The first tier provides Universal Resources; supports that can benefit all children. KidsAbility is building a Universal Resource strategy to ensure that high-quality, evidence-based resources are available for all families at any point, but particularly during their early engagement period while they wait for targeted or individualized service. This project will engage clinical staff and families to inform a needs assessment and gap analysis that will identify what resources are helpful to families, and where we need to develop content to support their needs. The deliverables will be a comprehensive library of existing universal resources, a prioritized plan for developing new content, and an evaluation plan.

Voir la description complète du projet
Superviseur du corps professoral :

Michelle Phoenix

Étudiant :

Partenaire :

KidsAbility

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

McMaster University

Programme :

Business Strategy Internship

Co-investigating the utility of Radarsat Constellation Mission polarizations for SmartICE Inuit community ice travel safety maps

Inuit communities are reliant on sea ice travel to hunt and fish to get nutritious food and maintain their culture. Search and Rescue incidents are on the rise with changing sea ice conditions due to climate change. Information to support Inuit travel needs at community scales are currently limited in Inuit Nunangat (Simonee et al., 2021). To meet these needs SmartICE (www.smartice.org) has co-developed the Sikumik Qaujimajjuti program to build local Inuit expertise in satellite interpretation and digital mapping skills.
Due to polar darkness and cloud cover in Canada’s North, Synthetic Aperture Radar (SAR) satellite imagery is widely used to monitor ice. Discriminating ice from open water in SAR is a known challenge. However, Canada’s Radarsat Constellation Mission (RCM) provides advanced imaging techniques, known as polarimetry, that shows promise for improving the interpretation of ice and open water in SAR imagery. This research will co-investigate with Inuit these advanced techniques for sea ice mapping at community scales, and co-develop culturally contextual training and workflows for the utilization of this imagery for Inuit SmartICE mappers.

Voir la description complète du projet
Superviseur du corps professoral :

John Yackel;Lynn Moorman

Étudiant :

Partenaire :

SmartICE Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Improving the monitoring of submerged aquatic vegetation using satellite remote sensing using machine learning and object-based image analysis

Submerged Aquatic Vegetation (SAV) are important in aquatic ecosystems as they represent hotspots of biodiversity and ecosystem functioning. Earth observation technologies (EOT) constitute a cost-effective monitoring tool for environmental variables at large scales but their use in freshwater environmental monitoring remains limited because of the optical complexity of inland waters. This research develops and builds upon an innovative open-source machine learning and geographic object-based image analysis approach to characterize and map SAV. Associated field work performed near the Port of Montreal’s expansion site at Contrecoeur allows for research into how construction disturbances impact nutrients at the landscape level within the project and supports future SAV-related EOT developments. This research benefits the partner organization, Hatfield Consultants, in its work to develop EOT to support environmental variable monitoring in fluvial systems.

Voir la description complète du projet
Superviseur du corps professoral :

Andrea Bertolo

Étudiant :

Partenaire :

Hatfield Consultants

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Risk-Informed Condominium Reserve Fund Study: from BIM-Based Performance Evaluation to Financial Planning

Current condo reserve fund studies use a lot of subjective judgment, many unrealistic assumptions, and a biased analysis horizon. As a result, many condo corporations have found their reserve fund inadequate to addressing the maintenance, repair and replacement needs of the common elements of the condo buildings they manage. The research project aims to change the current reserve fund study culture by developing a risk-informed approach established on solid assumptions and empirical data as well as condo owners’ risk aversion attitude in the determination of the condo fees and the optimal minimum reserve fund. The project will develop a practical Microsoft Excel-based computer application for condominium reserve fund studies.

Voir la description complète du projet
Superviseur du corps professoral :

Arnold Yuan

Étudiant :

Partenaire :

RDQ Engineering Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Sensor technologies for cardiac arrest

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) In more than 75% of all Sudden Cardiac Arrests, no one is there to witness the event and call 9-1-1, and resultant survival is near 0%. Sudden Cardiac Arrest death is a significant and unrecognized epidemic in Canada, affecting over 20,000 people annually. We hypothesize that modelling the implementation of wearable sensors in the population will provide evidence that key clinical and system metrics in the out-of-hospital cardiac arrest resuscitation system in British Columbia can be improved, and that such improvements will be worthwhile and cost-effective. We anticipate our models will forecast a significant increase in rates of survival to hospital discharge and survival with favourable neurological outcomes and will provide a framework for technology innovators and clinicians to develop clinical trials evaluating wearable sensors for impact on cardiac arrest outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Brian Grunau;Joseph Puyat

Étudiant :

Partenaire :

CHEOS

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Matching services to need in children with speech sound disorders: A Caregiver Administered Tool

Speech sound disorders (SSD) impact a child’s ability to accurately use the sounds of their language. Depending on the type or severity of the error(s), these disorders can be treated through a wide range of services which may include one-on-one or group sessions with a speech language pathologist. When children are referred for SSDs, health authorities are faced with the challenge of quickly matching an individual child’s need to the appropriate service. One way of accomplishing this is to initially group children based on basic information provided by their caregiver, instead of having each family wait for an in depth assessment by a speech language pathologist. The purpose of this research project is to develop a questionnaire that caregivers can complete when they have concerns about their children’s speech development. The tool will collect key indicators of the type and severity of the concern to quickly and efficiently match a child’s individual needs to the available services. The tool will be developed in consultation with content experts including researchers, speech language pathologists and caregivers. This project is being sponsored by Alberta Health Services, the health authority responsible for providing services to over 3 million Albertans.

Voir la description complète du projet
Superviseur du corps professoral :

Andrea MacLeod;Doug Gross

Étudiant :

Partenaire :

Alberta Health Services

Discipline :

Life Sciences

Secteur :

Public administration

Université :

University of Alberta

Programme :

Accelerate

Development of optimal joint strategies and an intelligent decision model for lockout/tagout, maintenance and production in a smart manufacturing context

This four-year research project aims to develop a strategic and operational implementation plan for an intelligent approach to integrate safety management processes of production systems in factories. Such safety protocol management is needed for e.g. equipment maintenance operations in manufacturing plants. The involved graduate students will develop novel safety management strategies using Artificial Intelligence, based on available, practical data. Two industrial partners in the field of manufacturing and safety management, Conformit and Cascades, will be involved in this study. Intelligent instruction and decision tools for joint safety management, production and maintenance optimization will be developed, implemented and validated using Cascades cardboard and paper plant as testbed.
The strong involvement of experts at both industrial partners, their vast client portfolio and strategic planning will allow to efficiently transfer the knowledge achieved by this research project to other manufacturing plants across Canada and beyond to increase the safety of workers.

Voir la description complète du projet
Superviseur du corps professoral :

Lucas Hof;Jean-Pierre Kenné

Étudiant :

Partenaire :

CONFORMiT;Cascades Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Optimisation de la salubrité des produits de viande de poulet par un meilleur contrôle de Salmonella et de Clostridium perfringens entérotoxinogène en production avicole

Malgré les normes les plus strictes, la viande de volailles se retrouve en tête de liste comme source d’exposition des consommateurs à des bactéries pathogènes zoonotiques responsables de toxi-infections alimentaires au Canada, où chaque année plus de 4 millions de cas d’infection sont déclarés aux autorités de santé publique. Clostridium perfringens entérotoxinogène figure parmi les bactéries causant le plus de ces cas et est porté de manière asymptomatique par les volailles pendant l’élevage, contaminant la viande lors de l’abattage. De plus, cette même bactérie est responsable de l’entérite nécrotique aviaire, une maladie dévastatrice en résurgence dans les troupeaux de poulets de chair commerciaux ayant réduit l’usage des antibiotiques. Ainsi, un meilleur contrôle de ce pathogène s’impose. En caractérisant les marqueurs génétiques contribuant à la capacité de C. perfringens de coloniser les volailles, les résultats de ce projet supporteront l’industrie avicole canadienne dans le développement de stratégies de contrôle efficaces.

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Lou Gaucher

Étudiant :

Partenaire :

Canadian Poultry Research Council

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Oculomotor function in adults with concussion: A synthesis of evidence and clinical trial

Concussions are a frequently occurring injury with diverse clinical manifestations and an often-challenging recovery. Oculomotor deficits are commonly occurring in persons with concussion, both as an early symptoms and impairment long after the injury. Early assessment and rehabilitation of oculomotor deficits resulting from concussion have the potential to expedite recovery and improve affected individuals’ functioning. One novel and promising technology to assess and provide individualized treatment is using virtual reality technology. This project aims to evaluate the utility of the NeuroFlex software in delivering eye movement-based therapy to individuals who have sustained a concussion. The effectiveness of this therapy on various clinical and functional indicators will be reported. Presented results will be sex-specific.

Voir la description complète du projet
Superviseur du corps professoral :

Tatyana Mollayeva;Angela Colantonio

Étudiant :

Partenaire :

Saccade Analytics

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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