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

Simple proxies for risk analysis and natural hazard estimation

This research is aimed at better characterizing the exposure associated with three particular natural hazards – earthquake, flood and wind. The work represents an unprecedented collaboration between three leaders in the field of natural hazards at Western University and the insurance industry through the efforts of individual interns and the associated projects aimed at evaluating risk and the resulting exposure from a practical and relatively simplified perspective. The Property and Casualty Insurance Compensation Corporation (ICLR), in cooperation with member insurers, will provide industrial support and training to three interns in the applied field of insurance risk assessment. The goal of the associated research program is to develop simple proxies for exposure based upon the most important factors associated with each hazard – earthquake, flood and wind. These proxies will be evaluated for various population densities, infrastructure properties and governmental policies.

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Superviseur du corps professoral :

Kristy Tiampo;Slobodan Simonovic;Gregory Kopp

Étudiant :

Partenaire :

Institute for Catastrophic Loss Reduction

Discipline :

Engineering

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Western University

Programme :

Accelerate

Gala Média

La chargée de projet marketing numérique, sous la direction du Vice-Président stratégie marketing et du Vice-Président développement stratégique, et en collaboration avec le reste de l’équipe, aura pour mission de soutenir les communications auprès d’un réseau de professionnels, principalement autour du média CScience IA, mais aussi pour la division « production » du groupe (GALA Prod) et notamment de « TiDoc’ ». Le tout afin d’accompagner les efforts de mise en marché de la compagnie Gala Média.
L’objectif central est de développer une communauté forte auprès des professionnels intéressés par l’intelligence artificielle. Le but est d’assurer la promotion et la notoriété du groupe et ainsi assurer la mise en marché de la compagnie.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

Gala Média

Discipline :

Business

Secteur :

Information and cultural industries

Université :

HEC Montréal

Programme :

Business Strategy Internship

Development of an integrated foundation for precision medicine for the Atlantic Region with a focus on Colorectal Cancer and Lung cancer

Atlantic Canada has the highest rate of CRC in Canada and NL has the highest incidence of familial CRC worldwide. This study is being undertaken primarily to reveal the underlying molecular mechanisms associated with the high rate of CRC in Atlantic Canada, particularly the well-documented familial CRC in NL. We expect to define novel genetic and epigenetic lesions in tumors that may help inform treatment for patients in the Atlantic region and elsewhere. Additionally, Atlantic Canada already has an established system of lung cancer molecular profiling but, the conventional approaches fail to capture additional molecular lesions that are emerging as having clinical implications, including global assessment of tumor mutation burden (TMB). We aim to achieve adequate tissue sampling for diagnosis and molecular profiling and implement advancements through specialized tools.

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Superviseur du corps professoral :

Sherri Christian;Robin Urquhart;Sevtap Savas;Dan Gaston;Tom Belbin;Touati Benoukraf

Étudiant :

Partenaire :

Atlantic Cancer Research Institute

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University; Memorial University of Newfoundland

Programme :

Accelerate

Handy Fairies Internship

The outcomes that I hope to achieve for Handy Fairies are that the business has a clear path for expansion both during my time with the company and after I have departed, hiring a committed cleaning staff that will want to achieve the goals Handy Fairies has set out to accomplish and create a marketing campaign that will entice new customers to provide ongoing revenues to Handy Fairies. These outcomes will be achieved by the contributions I will make to the company. Contributions will include outlining the strategic rollout of a sustainable expansion strategy, creating customer acquisition strategies, helping to potentially revise compensation structures of employees to create a greater degree of retention, determining the target market of employees that will need to be reached out to and generating marketing materials that will capture the attention of potential customers.

Voir la description complète du projet
Superviseur du corps professoral :

Yolande Chan

Étudiant :

Partenaire :

Handy Fairies

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services

Université :

Queen's University

Programme :

Business Strategy Internship

Analysis of the potential application of the shortwave infrared and near-infrared cameras to the weld temperature measurements

Temperature is a critical parameter in welding and related processes such as metal additive manufacturing. The real-time temperature measurement systems based on infrared thermal cameras have a potential to significantly improve the existing process control systems and, consequently, the quality of the welds and additive manufactured products. Conventional thermal cameras work in midwave (MWIR) and longwave infrared (LWIR) part of the infrared spectrum. They require sophisticated sensor systems and special optics. Cameras that work in the part of the infrared spectrum which is closer to visible light (shortwave infrared SWIR and near-infrared NIR) are less sensitive at lower temperatures, but potentially may be used for temperature measurements at temperatures typical in welding. They can use regular glass optics and their sensors do not require cooling to low temperatures and are made of less sophisticated materials which makes them significantly cheaper and easier to use. These features of the SWIR and NIR camera systems indicate their potential for the real-time welding and metal additive manufacturing temperature measurement systems. The objective of the project is to study the ability of the camera systems working in the SWIR and NIR spectrum ranges to capture the thermal emission during welding and provide temperature measurement.

Voir la description complète du projet
Superviseur du corps professoral :

Patricio F. Mendez

Étudiant :

Partenaire :

Xiris

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Développement d’un algorithme d’apprentissage profond pour la modélisation 3D des bâtiments à partir de photographies aériennes et de données lidar

Le projet proposé vise à développer un système automatisé de modélisation 3D des bâtiments par intelligence artificielle, et plus particulièrement par l’utilisation des réseaux de neurones convolutifs. Ces derniers sont reconnus pour leur performance en vision par ordinateur, notamment dans la segmentation d’objets fournis à travers des exemples d’entrainement. Le système de modélisation 3D utilisera la combinaison de photographies aériennes et de données lidar afin d’améliorer la segmentation des bâtiments. Les algorithmes développés seront intégrés dans un système opérationnel qui permettra d’automatiser la reconstruction 3D des bâtiments, et ainsi de réduire le temps et les coûts de cette opération pour la compagnie.

Voir la description complète du projet
Superviseur du corps professoral :

Yacine Bouroubi;Richard Fournier;Mickael Germain

Étudiant :

Partenaire :

XEOS Imagerie

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Lithium titanate nanocomposites for hybrid supercapacitors

Rapidly diversifying technologies are driving demand for power supplies that can meet a wider range of and more intermittent power needs. Main drivers include transportation, renewable energy grid connections, energy storage, and consumer electronics. Tesla has recently purchased a top supercapacitor company, Maxwell Technologies, to streamline these advancements to product integration. Supercapacitors are an important technology used in the power supply industry, supplementing conventional batteries by offering higher power and longer lifetime. Hybrid supercapacitors are undergoing accelerated development and expected to surpass current market options due to their promise of high energy and power density, and long cycle life. In this project we investigate fabrication process variations to improve their performance. Our industry partner intends to scale up the processes to establish Canadian supercapacitor R&D and manufacturing that will position us as a global competitor in this expanding high tech market.

Voir la description complète du projet
Superviseur du corps professoral :

John Madden

Étudiant :

Partenaire :

Tycor UPS;Edison Power Corp

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Ownership of Content in an Overlay Platform

The notion of ownership is fundamental and essential in a number of settings, including the setting that is the focus of this proposal: information over the Internet. Ownership of some content, in turn, endows the owner with certain rights over the content. The intent of this proposed research project is to (a) precisely enunciate what properties we associate with the notion of ownership in the software platform for structuring content over the Internet that our partner organization, Scrawlr Inc., is developing, and (2) incorporating into their software using sound software engineering principles elements of this notion of ownership. Our research will be of value to both our partner organization, and more broadly, to Canadians, as management and generation of new ways of presenting content over the Internet has now become a norm, and we seek to give owners of information meaningful control over it.

Voir la description complète du projet
Superviseur du corps professoral :

Mahesh Tripunitara

Étudiant :

Partenaire :

Scrawlr Development Inc.

Discipline :

Engineering

Secteur :

Information and Communications Technology

Université :

University of Waterloo

Programme :

Accelerate

Fault Diagnosis for Gas Turbine Engine Systems Using Model-Based Techniques

The ability to find fault in engine systems and proactively monitor their progression to remedy the root-cause before it fails is of paramount importance in today’s industry safety. An effecting change in current engine monitoring methods will require insight and understanding of the level of robustness and engineering rigour required to maintain safety and airworthiness standards. A model-based fault detection method compares the engine’s output data to that of a model running simultaneously. A suitable threshold should be selected to avoid false alarms due to measurement non-repeatability and current model uncertainty. Any difference beyond a threshold value signifies that a fault has occurred. This project aims to develop novel methods for fault diagnosis of gas turbines that require fewer data/parameters to work while maintaining or improving the detection and isolation schemes’ accuracy.

Voir la description complète du projet
Superviseur du corps professoral :

Afshin Rahimi

Étudiant :

Partenaire :

Reticom Solutions

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Luminescent Solar Concentrator Waveguide Encoded Lattice (LWELs)

The principal objective of this project is to design and fabricate optically functional, slim, flexible, dielectric coatings – luminescent wavelength encoded lattices (LWELs) – that enhance sunlight harvesting and therefore, within the short term, have a measurable, significant impact on the efficiency of commercially available solar cells. LWELs will combine two powerful approaches to incandescent light-collection: (i) lumophores that convert ultraviolet light – normally wasted as dissipated heat – into visible wavelengths that can activate the photovoltaic cell and (ii) dense, complex 3-D polymer waveguide architectures that impart near-hemispherical fields of view (FOV), enabling efficient light collection despite the diurnal solar trajectory. This is fundamentally different from typical solar cell configurations, which are efficient only when the Sun is incident along the surface normal and therefore must be physically rotated to track the Sun across the sky.

Voir la description complète du projet
Superviseur du corps professoral :

Kalaichelvi Saravanamuttu

Étudiant :

Partenaire :

University of Cambridge

Discipline :

Physics

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Investigation of the practicality and benefits ofintegrating photovoltaic (PV) arrays with greenroofs

Throughout Canada manufacturers and distributers of green roof and photovoltaic (PV) panels compete for installation projects on top of industrial, commercial and high-density residential rooftops.
These technologies are often viewed as direct competitors as both systems reduce the environmental impact of buildings, albeit through different mechanisms, and consequently, rooftop designs rarely, if
ever, apply both technologies. However, when integrated together, green roofs systems may improve the energy performance and lifetime of PV arrays through evapotranspirative cooling in combination with solar reflectance. Curently, there exists no published data on the practicality and benefits of integrating Solar PV with green roof systems in Canada. The research at the Green Roof Innovation Testing (GRIT) lab will deliver to our industrial partners Tremco and Bioroof: improved models, design tools and guidelines, and Canadian-based performance data which are essential to build consumer acceptance of new roof systems and to drive innovation.

Voir la description complète du projet
Superviseur du corps professoral :

Liat Margolis

Étudiant :

Partenaire :

Tremco;Bioroof Systems Inc

Discipline :

Earth science

Secteur :

Construction and infrastructure

Université :

University of Toronto

Programme :

Accelerate

AI-based Platform for Population-level Social Isolation Detection and Prediction

Social isolation is a serious public health issue which has many negative effects on quality of life and well-being of individuals. This research project aims to develop and test a Minimally Viable technology platform (MVP) to tackle population-level social isolation. This platform is designed to collect and analyze surveys from the users and detect socially isolated people and identify individuals at risk of isolation in a community using AI and social network analysis techniques. It is capable of analyzing real-time data obtained from the users through multiple channels such as web portal or mobile app. Our approach is to map the network to an attributed weighted multi-dimensional social graph and use graph theory, network science, and AI techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Pooya Moradian Zadeh

Étudiant :

Partenaire :

Community Support Centre of Essex County

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Windsor

Programme :

Accelerate

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