Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Deep Learning Techniques for Crop Monitoring

In this project, we will investigate using artificial intelligence to assist farmers and insurance companies by providing information about farms based on our daily observations. AIRM has developed monitoring stations (Crop Sentry) that are installed on multiple farms in Manitoba, allowing us to monitor the crop on a daily basis. Crop Sentry units used lidar sensors to monitor the field, and the output of these sensors is point cloud data. As a result, in this project, we will look into developing point cloud-based machine learning techniques to predict crop properties such as crop volume and yield. During this project, the interns will learn about designing and implementing AI-driven technology and will gain exposure to precision agriculture related applications. Interns will learn the steps of data preprocessing and will have the opportunity to interact with the pipeline engineers and gain a better understanding of data science process. In addition, Interns will get the opportunity to work with AWS cloud services, one of the most cutting-edge cloud computing platforms. The intern will develop important research skills and will work with a highly skilled and experienced hardware development and data science team from industry.

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Superviseur du corps professoral :

Vahab Khoshdel

Étudiant :

Partenaire :

AIRM Consulting Ltd.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Quantifying analysis of detrital porphyry indicator minerals to guide exploration and decision-making

This project will accelerate heavy mineral separation and analysis and remove the need to involve toxic heavy liquids in the mineral separation procedure. It will accelerate data production by developing new analytical procedures. It will also develop new ways of correlating the composition of detrital minerals to the presence of ore bodies in stream catchments. Hence it will provide a way of rapidly assessing a large region for ore fertility. Finally, it will enhance our understanding of the geochemical signature of ore fertility and our ability to discriminate it from other tectonic signals in a catchment. Interns will will spend time at partners’ offices and be involved in knowledge and technology transfer. They will spend time at the University of British Columbia generating key supporting data sets in the UBC laboratories. The partner organizations will benefit from accelerated mineral separation and analysis procedures and an improved understanding of key porphyry indicator minerals and software tools to analyze detrital data sets. They will be able to use this information to more easily target new mineral deposits.

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Superviseur du corps professoral :

Joel Saylor

Étudiant :

Partenaire :

BHP Minerals Canada Ltd;Teck Resources Ltd

Discipline :

Earth science

Secteur :

Manufacturing; Mining

Université :

The University of British Columbia

Programme :

Accelerate

AI Global Manager for AV-Over-IP Network

As digital communication and big data needs increase in a variety of different fields including education, healthcare, business, public areas, and mission-critical operations, organizations need more efficient and effective ways to distribute and display content. Audio-Visual (AV) over Internet Protocol (IP) provides an innovative solution to provide users with enhanced content in real-time. However, AV-over-IP technology can be very taxing on the network.
This project aims to develop a new set of intelligent network management tools that could help with the simulation, management, and ongoing monitoring of next-generation data/AV/IOT networks by leveraging machine learning and AI. This AI-based toolkit will act as an AI Global Manager which considers the integrity of the entire network as a whole and the potential impact of AV services on all nodes. This set of tools would assist organizations in the management of hybrid environments with data and visual services.

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Superviseur du corps professoral :

Mohammad Moshirpour

Étudiant :

Partenaire :

Userful

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Determining maximum operating pressure (MOP) for safe CO2 storage in Waseca and Deadwood formations in the Lloydminster area

Carbon capture and storage (CCS) is essential in achieving the Paris Agreement’s objectives, reducing emissions and meeting Canada’s Net-Zero target by 2050. To this end, shallow depleted heavy oil reservoirs in Saskatchewan and Alberta provide a good opportunity for large scale CO2 sequestration projects. This research focuses on assessing the potential of CO2 storage in the Lloydminster post-CHOPS reservoirs by assessing the maximum operating pressure (MOP) limit for safe CO2 injection in Waseca and Deadwood formations. This objective will be achieved through a combination of lab experiments, well log data and numerical simulations.

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Superviseur du corps professoral :

Saman Azadbakht;Fanhua Bill Zeng;Hairuo Qing

Étudiant :

Partenaire :

Petroleum Technology Research Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Rural Resilience Research Internships

The Rural Resilience Research Internship program at Selkirk Innovates aims to provide research support to government and non-profit partners across the Kootenay and Boundary regions of British Columbia. Internships will focus on themes that relate to our region’s ability to successfully respond to economic, social, and environmental changes, including climate change, demographic shifts, and rural economic transition. The interdisciplinary program will draw students from various fields, including business, economics, geographic information systems, and environmental planning. Each internship will have a unique set of objectives and methods, but all internships will build the capacity of our partners to make evidence-informed decisions about their programs, policies, and products. The ultimate goal is to build rural resilience by helping our partners understand the context in which they operate, evaluate risks and opportunities, and consider options to respond in a way that aligns with best practice.

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Superviseur du corps professoral :

Terri MacDonald;Sarah-Patricia Breen;Tracey Harvey;Jayme Jones;Lauren Rethoret;Robert MacQuarrie;David Greaves

Étudiant :

Partenaire :

Community Futures Central Kootenay;Kootenay Association For Science and Technology;Regional District of Central Kootenay;Regional District of Kootenay Boundary;City of Nelson;Yellowstone to Yukon Conservation Initiative;Nelson and District Chamber of Comm

Discipline :

Sociology

Secteur :

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

Université :

Selkirk College

Programme :

Accelerate

Next generation ultrasonic nondestructive testing methods and instruments

Ultrasonic testing (UT) has been used for a number of years in the inspection of safety-critical components. The research community is currently focusing on (1) transforming time-consuming inspections into faster and more efficient methods and (2) inspecting complex parts with intricate or difficult to access geometries. The general objective of this research project is to overcome technology roadblocks and develop innovative ultrasonic testing methods and tools in order to propose novel nondestructive testing (NDT) solutions and develop the next generation of NDT instruments. This general objective targets three areas of interest: 1. ultrasonic imaging, 2. non-contact ultrasonic thickness gauging, 3. the characterization of adhesively bonded assemblies. This project will be conducted by the Piezoelectricity, Ultrasonic Technologies and Materials Laboratory (PULETS) of ÉTS in collaboration with Olympus NDT.

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Superviseur du corps professoral :

Pierre Bélanger

Étudiant :

Partenaire :

Olympus;Evident Canada Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

Equitable DCFC Infrastructure Deployment for MURB Neighborhoods

The City of Victoria is working to implement infrastructure to support the adoptions of EVs. A key challenge are ‘garage orphans’, residents that live with multi-unit residential buildings (MURBs) without dedicated parking stalls per residence. Strata-governed residences also face various challenges in provisioning EV charging infrastructure. In order to support residents’ EV adoption, this project will help the City to develop planning methods and specific locations to incrementally install DC-fast chargers (DCFC). The project will consider technical siting, but also regulatory and social factors, including surveys and post-installation data analysis to further inform planning factors to ensure optimal DCFC charger locations.

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Superviseur du corps professoral :

Curran Crawford;Ralph Evins;Runa Das

Étudiant :

Partenaire :

The Corporation of the City of Victoria

Discipline :

Engineering

Secteur :

Public administration

Université :

University of Victoria

Programme :

Accelerate

The Innovation North Compass: A Made-In-Canada Approach to Innovation

Traditionally, firms approach their innovation agenda focused on profits. Conventional innovation processes, such as stage-gate and design approaches, can create harm for the world by ignoring the wider ecological, social, and economic systems in which a firm is embedded. There is a better way. This project will develop an innovation tool that creates prosperity and well-being for everyone by applying systems thinking to the innovation process. This requires creativity, teamwork, the inclusion of diverse stakeholders, and a commitment to a better future for all.

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Superviseur du corps professoral :

Pratima Bansal

Étudiant :

Partenaire :

NGen;NEO Exchange;CPA Canada

Discipline :

Business

Secteur :

Finance and Insurance; Manufacturing; Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

Building Rural Research Capacity through Mobilizing Local Thinking: A Strength-Based Approach to Rural Innovation

Healthcare innovation in Canada is an important priority of health systems. Innovation leads to adaptability of health services, a trait which allows them to maintain fidelity of care in the face of stress. The COVID-19 pandemic was a severe system stressor, which saw a diversity of responses across the Canadian health system. Understanding the strategies and tactics employed by rural communities to maintain care integrity during COVID-19 is important.
Through building partnerships with rural health research institutions nationally and internationally, holding workshops and focus groups with rural stakeholders, and establishing permanent integrated knowledge translation channels, local thinking can be mobilized to improve research capacity in rural places. This expanded research capacity will help reform health systems to be place-based, improving healthcare access in rural communities.

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Superviseur du corps professoral :

Shabnam Asghari

Étudiant :

Partenaire :

Carbonear Institute for Rural Research and Innovation by the Sea

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Materials Asset Integrity Management of Wind Turbines in Harsh Environments

Electricity produced from wind energy contributes to a cleaner environment and helps keep energy prices low. This project addresses two challenges encountered in wind turbine operations, namely leading-edge blade protection and mechanical failures. Both challenges present downtime for maintenance and repair, disrupting performance and power output, but more significantly, the sustainability of wind turbines. With a projected life expectancy of 20-25 years for current wind turbines, management of materials integrity during operation has the potential of extending lifetime and improving future wind turbine blade and component designs. Using additive manufacturing to facilitate small-scale testing in a lab-based environment, coupled with simulation of wind, rain, and marine-air conditions, the project will contribute directly to the management and optimization of wind turbine asset integrity and performance in harsh environments.

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Superviseur du corps professoral :

Amy Hsiao

Étudiant :

Partenaire :

Wind Energy Institute of Canada

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Prince Edward Island

Programme :

Accelerate

The use of thermographic imaging in the detection, identification, and characterization of Deep Venous Thrombosis (DVT) participant study

The project will investigate the relationship between Deep Vein Thrombosis (DVT) and temperature. The intern will use researched knowledge and thermal metrics to create a phantom, design a simulated trial to gather data (acquiring and processing several images), analyze (reviewing data and performing analytics), model (create specific DVT data models) and validate the simulated data with clinical data for the thermal imaging of DVT. The intern will carry out this experiment using a novel 3d thermal imaginer. Results from this study will be used to prepare for the human participant trial; thermographic imaging detection of DVT in the lower extremities. Outcomes from this project could provide an application to partake in the Venous Thromboembolism treatment market valued at over $950 million in 2020 and forecasted to be over $1.7 billion by 2027.

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Superviseur du corps professoral :

Svetlana Yanushkevich

Étudiant :

Partenaire :

H3alth Technologies

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Remote-Sensing Diagnostic Approach for Modeling Potato Yield Variability

Remote sensing technology has been developing rapidly in the past few years, and agriculture research is utilizing this development through crop monitoring and assessment. The potato crop is very susceptible to climate change impacts such as drought, which require a real-time monitoring system that supports farmers to take quick and accurate actions. This research project is proposing a novel approach that predicts precisely where in the farm and when there will be a potential crop yield decline using satellites and drones. Our efforts in this research are also to help the environment by encouraging farmers to use fewer fertilizers which will sustain ecosystem balance and protect surface water from pollution.

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Superviseur du corps professoral :

Nasem Badreldin

Étudiant :

Partenaire :

Manitoba Horticulture Productivity Enhancement Centre

Discipline :

Earth science

Secteur :

Agriculture

Université :

University of Manitoba

Programme :

Accelerate