Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Salu – Cardiovascular System Monitor Prototyping

The Salu Design Group has developed the PulseWave – a compelling wearable solution that includes a small device and software application that can be used to help people better understand their cardiovascular and circulatory health state, as well as provide some simple feedback on how to improve their state of health. Twenty one percent of US consumers currently own a wearable technology product, yet over half of them do not wear them on a daily basis, including some who have given up on using them all together. The research problem that will be focused on for the Mitacs Grant is, “How does Salu “engage those who are unengaged” with their health, to improve health? This research problem provides a valuable opportunity for Salu, and its interns to provide for a compelling new and disruptive technological innovation for the fast growing wearable technology market. For Salu this emerging market, and the technologies that it is testing and developing, provides an important means for creating a valuable solution that can help people better understand and address their health & wellness goals.

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Faculty Supervisor:

Martin Ferguson-Pell

Student:

Partner:

Salu Design Group Inc

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Manufacturing

University:

University of Alberta

Program:

Accelerate

Principes de logiciel de nouvelle génération d’assistance à la mise au point de procédés industriels

Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés. Le présent projet vise à développer des modèles mathématiques des principales unités d’opération utilisées dans le domaine du génie des procédés afin d’inclure un nouveau volet dans le logiciel de simulation Automation Studio, propriété de notre partenaire Famic Technologie. Cette bibliothèque sera d’une grande importance dans le milieu éducationnel et au niveau de la formation des ingénieurs et permettra d’attirer des nouveaux clients interessés par cette nouvelle bibliothèque.

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Faculty Supervisor:

Lyne Woodward

Student:

Partner:

Famic Technologies

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Development of a Novel Twin-screw Extruder for Resource Recovery and Renewable Energy Production from Lignocellulose Biomass and Industrial Organic Wastes

This project focuses on the conversion of renewable resources to fuels, and thereby trains and educates highly qualified and globally aware personnel. The research involves demo-scale testing and optimization at GreenField Ethanol, laboratory experimentation, simulation and modeling, and overall economic process evaluation. The experimental work will be complemented by numerical and analytical modeling. A mobile demonstration scale twin-screw extruder, funded separately and built by GFE, will be used for the pretreatment and solid/liquid separation of the various streams included in this study. Experimental data will be used to estimate drag coefficients from the existing configuration and used to calibrate a network of zones model of the sections in the TSE. These zone models will be calibrated on the existing configuration and then tested against alternate screw configurations to predict the pressure profile and resulting dewatering. The program presents an opportunity for synergy and collaboration between academia, municipalities and industry, which will enable intern to experience diverse research environment and to work in an interdisciplinary and diverse research team, as well as acquiring skills needed in industry such as project scheduling, resource management, report writing, and critical thinking.

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Faculty Supervisor:

Hesham El Naggar

Student:

Partner:

GreenField Specialty Alcohols

Discipline:

Engineering

Sector:

Manufacturing

University:

Western University

Program:

Accelerate

Human Activity Analysis in Sports Videos

Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very different. In addition, clothing, illumination and background changes can increase this dissimilarity. This project is about learning good features for automated human pose estimation and activity recognition using the broadcast video cameras in the context of sport videos. Therefore, this project contributes to constructing an automated and robust vision base human activity recognition and body pose estimation that works in real-time with respect to the current hardware resources.

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Faculty Supervisor:

Martin Levine;Greg Mori

Student:

Partner:

Sportlogiq

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; New and Digital Media

University:

McGill University; Simon Fraser University

Program:

Accelerate

Assessment of a new real-time monitoring technique for flash butt welding

The proposed accelerate project seeks to assess a non-destructive means for flagging failed welds in bandsaw blades in real time. The main challenge is to evaluate the correlation between the welding parameters and the properties (including microstructural and mechanical properties) of the final welds. Statistical modeling and different data analysis algorithms may be used in this step. Achieving this goal will extend the nondestructive inline testing capabilities of WeldMS to a broader range of manufacturing processes that use flash butt welding, eg welding of pipes, chain links, etc

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Faculty Supervisor:

Daan Maijer

Student:

Partner:

Weld Management Solutions Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Tracking the fate of Tetrodotoxin bound sodium channels

Pain is a global clinical problem. Chronic pain caused by cancer, osteo/rheumatoid arthritis, operations, injuries and spinal problems affects millions of people worldwide. The current treatments for severe pain is unsatisfactory and include opioids, non-steroidal anti-inflammatory drugs, corticosteroids and tricyclic anti-depressants. Most of these
drugs have limitations with regard to addiction, toxicity and thus there is a growing need for newer analgesic drugs that have greater efficacy, reduced toxicity and addiction. Chronic pain results from aberrant electrical signalling in the nervous system. Pain-sensing neurons in the peripheral nervous system express several isoforms of sodium channels. Sodium channel blockers currently in clinical use, though beneficial, are limited by their safety profiles. Tetrodotoxin (TTX), a naturally occurring toxin in puffer fish is currently being tested in clinical trials as analgesic by WEX Pharmaceuticals. TTX is non-opioid and is non-addictive. It is also 2000 times more potent than morphine. This project will address whether TTX affects sodium channel expression, trafficking and other targets in the pain pathway and thus will assist the industrial partner interpret their clinical findings by providing the molecular basis of mechanism of action of TTX.

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Faculty Supervisor:

Peter Ruben

Student:

Partner:

WEX Pharmaceuticals Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Elevate

Tracking the fate of Tetrodotoxin bound sodium channels

Pain is a global clinical problem. Chronic pain caused by cancer, osteo/rheumatoid arthritis, operations, injuries and spinal problems affects millions of people worldwide. The current treatments for severe pain is unsatisfactory and include opioids, non-steroidal anti-inflammatory drugs, corticosteroids and tricyclic anti-depressants. Most of these
drugs have limitations with regard to addiction, toxicity and thus there is a growing need for newer analgesic drugs that have greater efficacy, reduced toxicity and addiction. Chronic pain results from aberrant electrical signalling in the nervous system. Pain-sensing neurons in the peripheral nervous system express several isoforms of sodium channels. Sodium channel blockers currently in clinical use, though beneficial, are limited by their safety profiles. Tetrodotoxin (TTX), a naturally occurring toxin in puffer fish is currently being tested in clinical trials as analgesic by WEX Pharmaceuticals. TTX is non-opioid and is non-addictive. It is also 2000 times more potent than morphine. This project will address whether TTX affects sodium channel expression, trafficking and other targets in the pain pathway and thus will assist the industrial partner interpret their clinical findings by providing the molecular basis of mechanism of action of TTX.

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Faculty Supervisor:

Peter Ruben

Student:

Partner:

WEX Pharmaceuticals Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Elevate

Promotion de la sphère entrepreneuriale Montréalaise

Le projet permettra d’établir une stratégie de relation entre les différents médias attitrés à la couverture de l’entreprenariat à Montréal afin de promouvoir cet environnement. Il faudra assurer le développement et le rayonnement de la marque développée par les partenaires en l’adaptant aux besoins du grand public et des organismes de secteurs; 2 clientèles bien différentes. Le projet mettra au point une méthode de cueillette de cas en situation d’observation réelle et d’intervention sur le terrain. Il identifiera les enjeux et caractéristiques communicationnels de la promotion de l’entrepreneuriat. De plus, il permettra d’alimenter la base de données de cas de la Chaire avec un exemple de campagne promotionnelle

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Faculty Supervisor:

Bernard Motulsky

Student:

Partner:

Republik

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Assessing the suitability of Unmanned Aerial Vehicles for data collection

The research project intends to test various aspects of data collection using a UAV (unmanned aerial vehicle) in order to assess the suitability for small sites (~1 ha). Ideal conditions for UAV based mapping will be determined and compared to other traditional methods. To identify suitable conditions, the relationship between accuracy and several factors (the flying height, observational angle) will be assessed as well as limitations such as the effect of wind and distance to target. Various software will be utilized to address the accuracy of image stitching. Outcomes from the experiments will inform the partner organization (JD Barnes) of expectations and variability of the suitability of UAV mapping for small projects. In addition, the results will provide ideal parameters and best practices for data collection. The proposed research project assists JD Barnes in developing a strong working relationship with York University and the intern while building the foundation for future mapping work in more remote environments.

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Faculty Supervisor:

Tarmo Remmel

Student:

Partner:

J.D. Barnes Ltd

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

York University

Program:

Accelerate

Using fast optimization techniques to fine tune label placement in an automatically generated image

Randomly created question and solution problem sets will frequently include scaled images that are generated with a series of variables. These figures contain labels for such things as dimensions, coordinates, angles, sub-titles and vertex names. When images are created manually, labels are placed in a manner which avoids them from obscuring other labels or the images itself. In an automated setting however, this is not so easily managed. The purpose of this project is to research, design and apply machine learning methodologies for optimal placement of all image labels on a computer-generated image so all labels are near their correct location, clearly identifiable and do not overlap the image or other labels nearby.

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Faculty Supervisor:

Osmar Zaiane

Student:

Partner:

Varafy

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Accelerate

Automatic crack detection in stamped auto-parts

The objective of the project is to develop a non-destructive test protocol to accurately and reliably detect cracked, pre-welded automotive parts within the constraints of an industrial assembly cell. This will involve reviewing, developing and testing one or more test procedures based on vibration excitation of the part and the measurement and analysis of the response. In particular the work will focus on exploring existing potential test protocols, defining the capabilities of different sensors that could be used in the given environment (non-contact vibration transducers), developing appropriate vibration signal analysis algorithms for crack detection and decision making. The final result of the work will be a test protocol suitable for implementation in an actual assembly cell. The goal will be to achieve crack detection performance that is 100% accurate and reliable. Kirchhoff Van-Rob will benefit through participation and guidance of an investigation into the possibility of developing a new completely automated, accurate and reliable crack detection system. A successful system could be used in a wide range of applications where inspection is done manually. Reliable detection of cracked parts early in the manufacturing process will result in improved efficiency and improved customer satisfaction.

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Faculty Supervisor:

Chris Mechefske

Student:

Partner:

Van-Rob Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

HVDC “Superline” for improved angular stability of AC-DC system

High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro’s power system involves collection of AC power in the north, where it is converted to DC and then transferred to southern Manitoba (approx. 900km) where it is converted back to AC to feed consumers and for export. Recently, inter-area oscillation problems have been reported in the system. Along with conventional methods of applying damping to the power system such as Power System Stabilizers (PSSs) on generators and Power Oscillation Damping (POD) controllers on Static Var Compensators (SVCs), Manitoba Hydro uses feedback signals, such as frequency from the converter stations, as control input to modulate power through HVDC links to help damp these oscillations. However, sometimes these feedback signals may lack the observability of critical modes which could result in sustained oscillations, power system transfer limitations and eventually in system collapse if left unmitigated. In this research, we will investigate local and remote signals rich in modal information to design the control system. Furthermore, we will develop a control strategy which is robust towards the loss or delay in these remote signals.

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Faculty Supervisor:

Aniruddha Gole

Student:

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

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