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

Detecting Attacks on Connected Vehicles

Attacks on connected vehicles require special attention and there is a need for new sophisticated security solutions that will cover the integration of different domains in connected vehicles and help proactively address potential threats to connected vehicles. The overall goal of this project is to provide various security solutions for integrity, access control, availability, and privacy of connected vehicles against security attacks. This project will help industry partner in developing and improving the security of connected vehicles. The internships will provide the industry partner with significant research talent, expertise and resources to realize their automobile security development plans.

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Superviseur du corps professoral :

Mohammad Zulkernine

Étudiant :

Partenaire :

Irdeto Canada (Kanata, ON)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Optimal Orientation of Projection Components for an Augmented Reality System

The requirements of this project would be to determine the optimal orientation of the display screens and visor with respect to the user’s eyes. In order to do this, the person undertaking this project will be required to gain an understanding of existing augmented reality systems, how they work, and how their application can be extrapolated to this heads-up display for firefighters. This project will challenge the user to research and determine the optimal method of performing the augmented reality task, and then determine how the screen-visor orientation should be designed.

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Superviseur du corps professoral :

Rafael Kleiman

Étudiant :

Partenaire :

Longan Vision

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Industry Sectors that Attract Recent Chinese Immigrants to Canada

This paper will explore the industry sectors that attract and retain the largest number of very recent Chinese immigrants (5 years or less) to Canada and the credential recognition services that Chinese skilled workers need in order to be able to work to their full potential in Canada. This paper will also include a review of the Canadian policies and services towards attracting foreign skilled workers. The findings of this research will help Canadian employers in their business growth and the Asia Pacific Foundation of Canada scholars, migration think tanks, policy makers, and migrant workers advocacy groups to develop suggestions for changes to existing public policies and programs.

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Superviseur du corps professoral :

Zhenyi Li

Étudiant :

Partenaire :

Asia Pacific Foundation of Canada

Discipline :

Sociology

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Royal Roads University

Programme :

Accelerate

Experimental investigation of allowable engineering properties of regular and composite glulam columns

Structurlam Mass Timber Corporation (SMTC) is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company developed a new type of composite glulam as a structural element. Extensive experimental investigation in collaboration with Dr. Alam and Mr. Peng at UBCO revealed the future potential of this composite glulam column. The proposed research will extend the previous study by evaluating the engineering properties of each individual layer through experimental testing. Both the regular and composite glulam elements will be tested to understand and investigate the difference in behavior. This research will come up with the design values which can be used by the practicing engineers to design composite glulam column. The results of this study will have a significant effect on the development and application of this proprietary composite glulam element.

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Superviseur du corps professoral :

Shahria Alam

Étudiant :

Partenaire :

Structurlam Mass Timber Corporation

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

The effect of an affective music recommendation system and auditory beat stimulation on anxiety in the student population

Chronic anxiety is a growing psychological disorder worldwide and in Canada. Even when anxiety presents at pre-clinical levels, it can be disabling. Anti-anxiety drugs have many adverse side-effects. In some cases, listening to music decreases anxiety more effectively than anti-anxiety drugs. Binaural beats may also reduce anxiety and promote relaxation. This project will examine the potential additive effects of combining the anxiety reducing properties of calm inducing music and binaural beats. In this project, we propose to evaluate the anxiety reducing and calming potential of music and binaural beats through electroencephalographic (EEG) band power measures, galvanic skin response (GSR), Heart Rate Variability (HRV), anxiety measures, and emotional state measures (valence, arousal). We predict that the combination of music and binaural beats will cause a greater reduction in anxiety and increase in calmness than either of these conditions. More broadly, the proposed work is intended to provide a proof of concept for the effectiveness of a sound-based treatment of anxiety that is free of harmful side-effects.

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Superviseur du corps professoral :

Frank Russo

Étudiant :

Partenaire :

LUCID

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Identification des préalables à l’implantation de l’Industrie 4.0 dans les PME manufacturières du Québec

Dans le contexte industriel d’aujourd’hui, il y a un écart entre la productivité des grandes entreprises et les entreprises internationales contrairement aux PME manufacturières du Québec. Cet écart peut s’expliquer par l’amélioration de l’agilité de production des grandes entreprises grâce à l’utilisation de nouveaux outils technologiques leur permettant de répondre aux exigences de production de la personnalisation de masse. De l’autre côté, les PME manufacturières du Québec ne suivre pas la tendance technologique de leurs compétiteurs. Ce retard de productivité peut s’expliquer par le manque d’agilité des PME manufacturières du Québec. Il est possible d’associer ce manque par la faible utilisation de technologies innovantes dans les procédés de production. Ainsi pour préparer les PME manufacturières du Québec à ce changement, il est important de mettre en place les préalables nécessaires en vue de l’implantation du 4.0. Les préalables permettront d’améliorer et d’optimiser la gestion actuelle de leur production et ainsi atteindre l’agilité nécessaire pour l’implantation du 4.0. L’arrivée du virage 4.0 dans les PME leur permettra donc de rester compétitifs face à leurs compétiteurs étrangers.

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Superviseur du corps professoral :

Sébastien Gamache

Étudiant :

Partenaire :

Équifab

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Filament quality control system for FFF 3D printing

Additive manufacturing, also referred to as 3D printing, gains increasing popularity in many industrial sectors. Fused filament fabrication is one 3D printing technology that is suitable for a variety of different applications in the field of aerospace, transportation and automotive. One major challenge in implementing this technology at an industrial scale is to guarantee consistent quality of the 3D printed product. Many printed parts have defects or fail during printing due to inconsistent material quality. The objective of this project is to develop a system to monitor the incoming material in real time to assure the 3D printed part quality remains constant for every printed part. Developing such a system will advance the maturity of the 3D printing process and forms the first step to aid the industrial partner in the integration of 3D printing into its current manufacturing portfolio.

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Superviseur du corps professoral :

Daniel Therriault

Étudiant :

Partenaire :

Hutchinson Aerospace & Industry Ltd

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Polytechnique Montréal

Programme :

Accelerate

An optical function analysis for thin-film device structures

Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to further understand the form of the optical functions for the various types of thin-film materials and then use this knowledge in order to aid in the interpretation of experimentally acquired transmittance and reflectance spectra. We will start with the assembly of a library of optical functions corresponding to the various types of thin-film materials. A series of models that aims to capture this physicality will then be devised. Finally, we will use these models in order to narrow the parameter space that must be probed in determining the spectral dependence of the optical functions associated with the thin-film layers from measurements of the transmittance spectrum at normal incidence and the reflectance spectrum at near-normal incidence. The company sponsoring this project aims to commercialize a software offering capturing the results of this project. They also aim to exploit the results in order to develop new solar-based products.

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Superviseur du corps professoral :

Stephen O'Leary

Étudiant :

Partenaire :

Solar Adventure Ltd

Discipline :

Engineering

Secteur :

Utilities

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Plugging Machine Learning into Mobile Cloud/Edge Computing

The central role of the Internet in modern society creates challenges of efficiency, flexibility, and security, especially as usage intensifies due to proliferation of mobile devices and the Internet of Things (IoT). Wireless network-based technologies such as Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC), introduce new challenges. In particular, shifting locations and hardware constraints often lead to unsatisfactory network security and undesirable transmission delay/cost. In the proposed project, we attempt to utilize machine learning techniques to solve two challenging problems in mobile cloud/edge computing: intrusion detection in mobile cloud computing and resource allocation in mobile edge computing.

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Superviseur du corps professoral :

Qiang Ye

Étudiant :

Partenaire :

Ericsson Canada Inc (Quebec)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Fast and Accurate Computation of Wasserstein Adversarial Examples

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be manipulated to output completely unexpected results. Many attack and defence algorithms have been developed in the field under the convenient but questionable Lp attack model. We study an alternative attack model based on the Wasserstein distance, which has rich geometric meaning and is better aligned with human perceptron. Existing algorithm for computing Wasserstein adversarial example is very time-consuming. The goal of this project is to significantly speed up the generation process for Wasserstein adversarial examples by carefully reformulating the problem and by exploiting better optimization techniques.

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Superviseur du corps professoral :

Yaoliang Yu

Étudiant :

Partenaire :

Royal Bank of Canada (Borealis)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology; Finance and Insurance

Université :

University of Waterloo

Programme :

Accelerate

Adaptive Information Extraction from Clinical Patient Records

Among the applications of computer science in the field of health care and biomedicine, the processing of clinical patient records is one of the increasingly important topics for improving the Electronic Health Records (EHR) systems. A practical use of EHR systems is to help improve the decision making process for the physicians. The goal of this project is to develop an information extraction tool that extracts the relevant information with respect to the patient disease/symptoms, which help the physicians in their decision making process. In order to extract the relevant information with respect to diseases, we plan to cluster the patient’s records into groups according to their diseases and symptoms, and apply data mining tools to discover meaningful patterns per group. Patterns could refer to procedures or surgeries, frequent symptoms; treatments related diseases associated with specific diseases. The usefulness of such tool is primary based on recommending a list of….tobecontinued

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Superviseur du corps professoral :

Jimmy Huang

Étudiant :

Partenaire :

Alpha Global IT

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

York University

Programme :

Accelerate

Innovative Sustained High Strength Silicate Based Shotcretes

Due to early strength requirements, shotcrete mix must incorporate rapid set accelerating agents to speed up mix set time and accelerate hardening. Silicate-based shotcrete accelerators have demonstrated good early compressive strength, short set time and good stiffening properties at relatively low cost. The silicate-based shotcrete mix also has minimal impacts on health, environment and improved safety. However, it can exhibit relatively significant loss of compressive strength over 28 days, which presents a critical challenge. The aim of this project is to develop low-cost and environmentally-friendly silicate-based accelerators that exhibit rapid setting, strength gain and minimal 28-day loss of strength. This will rely on understanding the interactions between silicate accelerators and cement, and compatibility issues. The research will focus on enhancing mechanical, hydraulic and microstructure properties of shotcrete mixtures at different curing temperatures and ages, as well as evaluating durability privilege of silicate-based shotcrete mixtures over alkali-free shotcrete mixture accelerators.

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Superviseur du corps professoral :

Hesham El Naggar

Étudiant :

Partenaire :

National Silicates

Discipline :

Engineering

Secteur :

Construction; Natural Resources; Mining

Université :

Western University

Programme :

Accelerate

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