Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Stochastic inversion of geophysical and petrophysical data to develop an integrated 5-8 Block Model

This project aims at exploiting existing geophysical and petrophysical data to develop an integrated geological model of the 5-8 block of the Raglan mine in Northern Quebec. In contrast to previously conducted analysis of individual datasets, a weighted stochastic inversion of combined datasets will be conducted. Determining the synergies between the diverse rock parameters will lead to improved knowledge about the geometry and material properties of the 5-8 block. Ultimately, this will result in enhanced metal recovery and economic benefits to the Raglan mine and the greater community.

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Faculty Supervisor:

Alexander Braun

Student:

Partner:

Glencore Canada Corporation - Raglan Mine

Discipline:

Earth science

Sector:

Mining

University:

Queen's University

Program:

Accelerate

Development and Characterization of All-in-OneEthanol Based Diesel Fuel Additive

The main objective of this research project is to obtain an additive helps to increase the cetane number as well
as reducing fuel consumption in diesel engines. In the proposed study, we will perform the characterization of
available petroleum diesel and analyze their properties. The ethanol based additive later will be added in several
different ratios into the diesel fuel to see their effect on fuel properties (CN, lubricity, emission and distillation
T90). As a result, PE Fuels technology will offer clients, a solution that uses denatured ethanol as a base for the
additive, highly concentrated formula that helps engines run cleaner, reducing toxic emissions, increasing miles
per gallon (MPG) and decreasing maintenance costs.

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Faculty Supervisor:

Nader Mahinpey

Student:

Partner:

PE Fuels Solutions

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Communication organisationnelle interne digitale et changement : analyse croisée entre science des technologies de l’information et sciences de la communication organisationnelle

Récemment, les écrans d’affichage dynamiques (EAD) ont fait leur apparition dans les entreprises; d’abord pour informer les clients (par exemple dans les supermarchés ou dans salles d’attente des banques ou d’hôpitaux) ou le grand public. Ces écrans sont désormais utilisés pour des fins de communication organisationnelle à l’interne depuis peu de temps. Comparées à d’autres moyens de communication, plusieurs caractéristiques rendent la communication par écran attractive pour les organisations : possibilité d’afficher des messages liés au contexte dans lequel ils sont intégrés physiquement; des messages disponibles sans effort nécessaire de la part des destinataires; facilité de mise à jour des messages à distance et de manière instantanée, à un coût très faible. C’est dans ce contexte qu’un des partenaires de M’Pact a décidé en 2009 d’investir dans ces nouveaux outils de communication en se dotant de la solutions d’EAD conçus et commercialisés par M’Pact, une PME montréalaise. À ce jour, il existe peu de recherches qui se sont penchées sur l’étude de la communication interne digitale, mise en oeuvre à partir du déploiement d’EAD. Le partenaire de M’Pact constitue donc un terrain privilégié pour l’étude de ce phénomène de communication dans le travail.

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Faculty Supervisor:

Placide Poba-Nzaou

Student:

Partner:

M’Pact Inc

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Oxford Inclusive Design Standards

This project will develop inclusive design standards and methods for Oxford Properties to assess and improve the accessibility of their residential, office and retail property holdings and to promote customer service excellence for seniors and people with disabilities in Oxford properties across Canada. Areas that will be encompassed by the new design standards are: signage, kiosks, customer service, stairways, parking, external paths, emergency, staff/service areas, common halls/doors and furniture/fixture/finishes.

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Faculty Supervisor:

Jutta Treviranus

Student:

Partner:

Oxford Properties Group

Discipline:

Sociology

Sector:

Real estate and rental and leasing

University:

OCAD University

Program:

Accelerate

Design and Prove RightsEnforcer Cross-Platform Development Strategy and SDE

RightsEnforcer is a software system for Persistent Document Security, deployed and proven in the real world as a Windows-only client-server system. ‘Persistent’ information security controls access to the protected document, everywhere, always, and is therefore uniquely suited to be a dominant information security technology in ‘the Cloud’. But to thrive in the Cloud the RightsEnforcer client (more or less ‘end user app’) must be multi- or cross-platform, i.e. the end user component must run and offer almost identical functionality on all the popular end user devices, including those running operating systems iOS and Android. Therefore, the intern of this project will be responsible to develop the mobile clients of RightsEnforcer that can run on iOS and Android. During the development, the intern needs to solve several challenges including how to wrap/unwrap data via AES algorithm, how to coordinate multiple devices for tracking the uses of sensitive data, and how to write reusable and compatible cross-platform codes. The partners will get an cross-platform software with good user experience that can run on iOS and Android devices. They can use these approaches to replenish their products line and refine the current solution to make it hit the market.

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Faculty Supervisor:

Ralph Deters

Student:

Partner:

RightsX Inc;Environmental Instruments Canada Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Mobile Phone Based Ionizing Radiation Detector Optimization

The GammaGuard is the mobile application which the user can be used to detect radiation level by using detectors, in our research they are called CT 100 and CT007, or using mobile camera. The previous work was only focusing on the CT 007 which used the classic Bluetooth technology. In CT 100, the Bluetooth low energy is used for device connection. BLE requires lower energy and higher data transfer speed. The partner will design and implement the application for CT100 and merger it into the one only supports CT007 so that the user can choose between these two. After the data comes in, the data can be shared and synchronized among multiple mobile devices. Beside the external detector, this research will also focus on adding the camera detection into the application. In this case, the users can detect the radiation level without using any external devices but mobile itself. The intern will design and implement the algorithm for the camera detection. For the partner organization, after the whole project finished, EIC will have both an Android (in Java) and iOS (in Xamarin) version of the BTLE and camera radiation detector app.

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Faculty Supervisor:

Ralph Deters

Student:

Partner:

Environmental Instruments Canada Inc

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Speaker Identification in a Collaborative Environment

At present, there is an increasing demand from industries for new generation of interactive technologies to support productivity and minimize time wasted for meeting room set up. In response to this demand, SMART technologies is investing into development of new UC&C technologies. The goal of this research will be the development of a software for reliable speaker identification and authentication in a meeting room environment. The software will be able to recognize users in the meeting room with the flexibility in dealing with noise and variable recording quality, including various voice samples. The developed software will take into an account the various machine learning methods to deal with proper training, the insufficient amount of samples, and the physical characteristics of data sets used to validate the methodology. It will be adaptive to different types of voice input data: the live voice and the voice from the teleconference/cell phone. This would require development of sophisticated machine learning methods which will also further enhance the areas of data mining, pattern recognition, and signal processing.

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Faculty Supervisor:

Marina Gavrilova

Student:

Partner:

SMART Technologies (Calgary, AB)

Discipline:

Computer science

Sector:

Education; Manufacturing

University:

University of Calgary

Program:

Accelerate

Insight from the top 2 000 mobile games found in the Apple store

The organization partner is currently allocating video advertisement inside mobile applications. The mobile applications that publish the video advertisement are designated as publisher. To allocate the video advertisement inside the right mobile application, the potential publishers are manually searched in the Apple App store. This search process is a bottleneck. It also involves a lot of manual work and room for error. The intern will use technologies in order to gather information on the top 2 000 mobile applications in the Apple App store. The information will represent contextual, descriptive and ranking information from each mobile application. Afterward, the intern will have to segment and do a correlation analysis in order to provide insight on successful features of top ranked mobile apps. The partner will benefit from this research project as information is gathered, an

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Faculty Supervisor:

Denis Larocque

Student:

Partner:

Floop Technologies

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Conductance detection using granular films

Universal NanoSensor Technologies (UNS-Tech) develops and commercializes microfabricated conductivity detectors. In this MITACS project, UNS-Tech will partner with Prof. Cynthia to explore new detector architectures based on nano-particle and nano-shell films. The results will be analyzed and the findings will be published in scientific journals. The intern participating in this cluster will benefit from this internship by gaining tremendous knowledge of electronics-based detectors. They will gain invaluable experience and enhance their training as highly qualified personnel as they prepare to enter the Canadian work force. UNS-Tech – an Ontario-based start-up – will benefit by exploring granular metal film-based architectures for potential sensor application. Achieving successful proof-of-principle tests in a university setting would be a critical benchmark for UNS-Tech before moving onto product development and beta tests. Development of beta phase products and, thereafter, successful commercialization will require employing more Ontarians and will, in turn, benefit both Ontario and Canada.

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Faculty Supervisor:

Cynthia Goh

Student:

Partner:

Universal NanoSensor Technologies Inc (Toronto, ON)

Discipline:

Physics

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Prediction and optimal strategies in equity algorithmic trading

Trading is increasingly moving from the human world to its electronic counterpart. In this new environment the effects need to be properly understood and analyzed. Most recently the Canadian market as other developed capital markets has experienced a reduction in direct trading costs for investors but at the cost of an increase in indirect trading costs, price variability. This affects everyone either directly, such as the Royal Bank of Canada’s Capital Markets department, but also indirectly through its clients, from institutional investors and fund managers to each individual investor that buys into their funds for their financial and retirement planning. Quantitative methods can be effectively leveraged to help institutions glean the most information out of increasingly higher-frequency price information which will provide a better understanding of this new market environment. The research in this proposal aims to deploy advanced optimization models that incorporate the existing uncertainty in asset prices and artificial intelligence techniques to perform this analysis. The aim is to help the Royal Bank of Canada navigate the trading environment better and at a lower cost to its clients.

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Faculty Supervisor:

Roy Kwon

Student:

Partner:

RBC Royal Bank (Toronto, ON)

Discipline:

Engineering

Sector:

Finance and Insurance; Management of companies and enterprises

University:

University of Toronto

Program:

Accelerate

Développement d’un protocole de ciblage appliqué à l’exploration minière à l’aide de l’algorithme Hypercube

Ce projet cherche à améliorer les méthodes d’exploration minière grâce à l’intelligence artificielle. En effet, il est de plus en plus difficile pour cette industrie de trouver de nouvelles mines. Celle-ci a accès à de larges bases de données mais l’être humain n’est capable que d’en comprendre et utiliser qu’une faible partie. Il est donc proposé d’utiliser un algorithme (Hypercube®) pour essayer de trouver des liens entre les données qu’une personne humaine serait incapable de percevoir. Ces liens pourraient ensuite aider à développer des nouveaux modèles d’exploration. Ce projet permettra alors au stagiaire autant que IOS Services Géoscientifiques de proposer de nouveaux services aux compagnies minières : L’amélioration de leur ciblage pour leurs projets et d’augmenter ainsi leur taux de réussite.

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Faculty Supervisor:

Réal Daigneault

Student:

Partner:

IOS Services Géoscientifiques Inc

Discipline:

Earth science

Sector:

Mining

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Évaluation de filières de traitement/valorisation des rejetslaitiers issus de l’industrie de production de fromages

La production de fromage engendre des rejets d’eaux usées chargées en matières organiques dans le milieu récepteur (rivière) causant une pollution de l’environnement et un risque pour la santé humaine. Appliqué au contexte de la municipalité de Miahuatlan, le projet vise à caractériser les rejets des différentes étapes de la production de fromages en termes de quantités (débits) et de qualité (analyses physico-chimiques en laboratoire) pour en déterminer les flux de polluants. Il sera alors possible d’identifier des filières potentiellement applicables de traitement/valorisation de ces rejets. Sur la base des caractéristiques des filières et des débouchés réels associés aux conditions locales, il s’agira d’établir une hiérarchisation des scénarios retenus par une analyse multicritères. Cette approche de hiérarchisation permettra de mieux cibler les forces et les faiblesses des solutions potentielles retenues en regard des spécificités locales et facilitera, pour les acteurs du territoire, le processus de prise de décision.

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Faculty Supervisor:

Mathias Glaus

Student:

Partner:

Universidad Veracruzana

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program:

Globalink Research Award

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