Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Stochastic Strategies for Addressable Advertising – Year Two

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue and profitability and in return allow for more broad accessibility of advanced technologies. Essential to these techniques is the estimation of a capability to fulfill advertising orders within the new bandwidth constraints of the system. One particular problem for delivering multiple advertisements is the allocation of resources to different networks and the prediction of collisions between commercial breaks throughout the set of networks. The objective of this proposal is to construct optimal stochastic, statistical/probabilistic models for ad break interleaving and the correlations between ad breaks, TV viewing, TV programs, viewer demographics, and other aspects.

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Faculty Supervisor:

Ivan Mizera

Student:

Partner:

Invidi Technologies Corporation

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Elevate

Stochastic Strategies for Addressable Advertising

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue and profitability and in return allow for more broad accessibility of advanced technologies. Essential to these techniques is the estimation of a capability to fulfill advertising orders within the new bandwidth constraints of the system. One particular problem for delivering multiple advertisements is the allocation of resources to different networks and the prediction of collisions between commercial breaks throughout the set of networks. The objective of this proposal is to construct optimal stochastic, statistical/probabilistic models for ad break interleaving and the correlations between ad breaks, TV viewing, TV programs, viewer demographics, and other aspects.

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Faculty Supervisor:

Ivan Mizera

Student:

Partner:

Invidi Technologies Corporation

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Alberta

Program:

Elevate

The study of action mechanism of indoles in Breast Cancer and Prostate Cancer

The indole subunit is a near-ubiquitous component of biologically active natural has become an important building block or intermediate in the synthesis of many pharmaceutical agents. Such as indole-3-carbinol, found in cruciferous vegetables has been shown to inhibit carcinogenesis. In this project I will focus on studying of action mechanism (cell apoptosis, angiogenesis inhibition and inhibiting microtubule formation) of indoles in breast cancer and prostate cancer. Establishment of models for the screening of indoles resources for resistance to breast and prostate cancer. A growth inhibition studies will be carry out by cell proliferation. Related hormonal status during growth inhibition test by Elisa kit.

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Faculty Supervisor:

Sheng-Xiang Lin

Student:

Partner:

QingDao University

Discipline:

Life Sciences

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

wearable electric field sensor

The project focuses on the design and development of a wearable electric field sensor. Mathematical simulation, mechanical design, optical system built-up and signal processing will be involved. The project will be conducted in the Laboratory of Ultra High Precision Mechatronics at Beihang University (BUAA), Beijing. The student will need to analyze and simulate the relation between electric field and surface wave using different materials. In the second phase, the student will design the sensor structure and develop the system. The static and dynamic characteristics of the sensor also need to be analyzed and measured. Finally, the supervisor will guide the student to complete a report and some other documentation.

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Faculty Supervisor:

Zuomin Dong

Student:

Partner:

Beihang University

Discipline:

Engineering

Sector:

Education

University:

University of Victoria

Program:

Globalink Research Award

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

View Full Project Description
Faculty Supervisor:

Denis Larocque

Student:

Partner:

Floop Technologies

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

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