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
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842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
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Projects by Category

Utilisation des matrices biosourcées pour la production de composites bois-polymère (CBP)

Le composite bois-polymère (CBP) est un matériau émergent fait de bois et de plastique. Le plastique est habituellement d’origine fossile. Le projet de recherche propose d’explorer différentes technologies visant à augmenter la proportion de matière biosourcée pour former des CBP écologiques. Ces technologies permettront aux partenaires oeuvrant dans le domaine de la transformation des produits forestiers de percer le marché des produits en plastique. Deux applications sont ciblées selon les partenaires, soit des produits d’emballage moulés rigides écologiques à haute teneur en bois, et des panneaux structuraux pour la construction avec un revêtement rigide écologique. Les partenaires visent aussi à valoriser des résidus industriels biosourcés dans les produits CBP.

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Faculty Supervisor:

Ahmed Koubaa;François Godard

Student:

Partner:

Rayonier A.M. Canada S.E.N.C. - Tembec;West Fraser;Centre technologique des résidus industriels

Discipline:

Engineering

Sector:

Agriculture

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Segment-based Fleet Management System for Semi Real-Time Analysis

Traditional fleet management systems suffer from zone-based aggregation. i.e. they use aggregate zone-level road and terrain characteristics to estimate trip performance indicators. In addition, most of these systems require intermediate ad-hoc staging tables to generate trip performance reports. To address these limitations, this research aims at developing a segment-based fleet management system for near real-time analysis. The proposed approach uses static segmentation to associate road and terrain characteristics with each segment of the road network. Then dynamic segmentation is utilized to aggregate and link event data to road and terrain characteristics at the segment- and trip-levels. This treatment ensures more accurate analysis at a lower computational cost, without the need for intermediate staging tables specific to a particular report. In addition, optimal travel routes can be generated to minimize cost, minimize slope, maximize speed, etc. to the destination or to the nearest city or highway from a given road segment.

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Faculty Supervisor:

Ahmed Idris

Student:

Partner:

Streamline Transportation Technologies Inc

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

University of British Columbia - Okanagan

Program:

Accelerate

Life-cycle cost analysis of compressed air energy storage systems

The proposed internship aims to study how the performance and the reliability of mechanical energy storage systems influence their life-cycle cost (LCC), including the acquisition cost, the maintenance, and the energy costs. First, the effect of the variation of the design parameters on the performance and acquisition cost of the product will be assessed. Second, the effect of materials and processes on the reliability and the LCC of product will be studied. Lastly, the energy cost associated with the operation of the product will be analyzed. The results will be presented to the Partner in form of a computer program. In developing such database, theoretical and technical aspects of manufacturing will be considered in close collaboration with the Partner. This computer program, coupled with the performance analysis models of the product, could be used in designing a product with an optimum LCC and required performance.

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Faculty Supervisor:

Benoit Boulet

Student:

Partner:

Sigma Energy Storage Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

McGill University

Program:

Accelerate

Préparation de la SnapChipMC en vue du développement d’un essai multiparamétrique pour l’étude du diabète

Pouvoir mesurer la concentration de différentes protéines est important pour l’avancement des connaissances médicales. C’est malheureusement un travail qui demande souvent beaucoup de temps. Parallex BioAssays est une jeune entreprise montréalaise développant présentement un outil qui permettra de mesurer simultanément la concentration de plus de 100 protéines, sans compromettre l’exactitude des résultats. L’objectif visé au cours de ce projet de 4 mois est de faire les derniers ajustements avant la phase finale de développement qui consistera à rendre cet outil pertinent à l’étude du diabète en utilisant les réactifs appropriés (comme mettre le bon embout sur son tournevis). Puisque leur outil peut facilement être adapté à d’autres maladies, le développement de cette puce dédiée au diabète ne sera que la première d’une série que Parallex BioAssays compte commercialiser au cours des prochaines années.

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Faculty Supervisor:

André Marette

Student:

Partner:

Parallex BioAssays Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Development of Additives in Pellet Form For Asphalt Mixes Containing Recycled Asphalt

In this project, asphalt mix additives in the form of pellets added directly in the mix during mixing will be developed. The pellets will include at least recycled asphalt shingles, but other additives like rejuvenators and warm mix additives will also be tested. Those additives should help to make asphalt mixes with better mechanical properties while using less virgin materials. The compactibility, the workability, the moisture resistance and properties like thermal cracking resistance, rutting resistance and modulus of those modified mixes will be tested. With this project, the partner will have the necessary information he needs to improve his product and to ensure his customers that what they produce with this additive will meet their requirements.

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Faculty Supervisor:

Alan Carter

Student:

Partner:

Rogitex

Discipline:

Engineering

Sector:

Construction and infrastructure; Wholesale trade

University:

École de technologie supérieure

Program:

Accelerate

Statistical and Machine Learning with Applications to a Hybrid Recommender System for Retail Data

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of customer behaviour. Through a data-sharing/consulting partnership we plan to perform research on the design of recommender systems customized for the data-sets available to brick and mortar retailers. These methods can be used in their physical and online loyalty programs as well as in their dynamical promotions/pricing strategies.

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Faculty Supervisor:

Sathish Gopalakrishnan;Alexander Rutherford;Robert Rohling;Tamara Munzner;Farouk Nathoo;Chi-Guhn Lee

Student:

Partner:

FIND Innovation Labs Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University; The University of British Columbia; University of Toronto; University of Victoria

Program:

Accelerate

Valeur à vie des membres d’un programme de fidélité

Aéroplan est un programme de fidélité où les membres accumulent des milles de récompense à l’achat de produits chez les partenaires de la coalition (Air Canada, Star Alliance, Banque TD, Banque CIBC, Banque Amex, Esso, Home Hardware, Fairmount, Avis, Toyota, etc.). Les milles accumulés peuvent ensuite être échangés contre des récompenses (billets d’avion, certificat cadeau, marchandise, location d’auto, etc.). Le programme de recherche proposé consiste à explorer et exploiter les diverses bases de données relationnelles et transactionnelles afin d’aider l’entreprise dans l’élaboration de ses stratégies marketing pour mieux servir ses membres. Les résultats anticipés devraient permettre de mieux cibler les actions marketing qui auront pour effet d’améliorer la satisfaction de ses membres et des partenaires de la coalition.

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Faculty Supervisor:

François Bellavance;Marc Fredette;Danilo Dantas;Renaud Legoux

Student:

Partner:

Aimia Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Mamquam Blind Channel Water and Sediment Quality Study: For Optimum Eulachon Spawning Habitat

The general objective is to identify the optimum location for eulachon spawning habitat. This is to be achieved in part from a survey of the Mamquam Blind Channel, an eulachon historic spawning area. Water quality, channel salinity, water temperature, turbidity, foreshore soil quality and channel bed quality will be examined over the course of the research project. A review of the current work on the water, quality and stream bed sediment requirements for eulachon spawning will also be undertaken. Also an archival review will be undertaken of the human activities and recent efforts to address water and sediment quality in the Mamquam Blind Channel.

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Faculty Supervisor:

Peter Lee

Student:

Partner:

Crow Bird Consulting Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Lakehead University

Program:

Accelerate

Passive optical remote sensing of channel bathymetry for monitoring of large river morphodynamics

Air photos and satellite images offer a comprehensive perspective on rivers that can be useful for the study and management of aquatic ecosystems. In particular, water depths can be determined remotely by relating image properties (color, brightness, etc.) to depths measured through fieldwork. However, this reliance on field data for calibration of the depth/image relationship requires costly, sometimes dangerous fieldwork and means the methods cannot be applied to data sources without associated field-measured depths. This project aims to test the applicability of a newly developed framework that uses equations that mathematically describe flow of water through rivers to help constrain estimated depths from remote sensing imagery without the need for field calibration. By applying and the Flow REsistance Equation-Based Imaging of River Depths (FREEBIRD) framework to satellite and air photo imagery of Peace River, BC, the project will test the method’s suitability to measure depth on large rivers. Testing the results against available hydraulic data and available field measurements will allow for quantification of data quality relative to currently used methods. TO BE CONT’D

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Faculty Supervisor:

Brett Eaton

Student:

Partner:

BC Hydro (Vancouver, BC)

Discipline:

Earth science

Sector:

Utilities

University:

The University of British Columbia

Program:

Accelerate

Adaptive Detection and Tracking of Multiple Persons in Real-Time Video Surveillance

Video surveillance networks are currently being deployed in a growing number of security checkpoints and retails stores. Genetec Inc. provides IP-based solutions for video surveillance, access control and license plate recognition, all integrated into their Security Center platform. Although video analytic techniques to search for people in a scene have become a key business priority, real-time detection and tracking of several individuals remains a challenging problems in real-world environments. The objective of this project consists in developing adaptive detection and tracking systems that can robustly locate multiple individuals in complex and real-time video surveillance applications. These systems will autonomously create, associate and remove individual tracks based on information extracted from the appearance of each person’s head. Tracking-by-detection approaches will be developed for robust head tracking, where each head is modeled using an ensemble of classifiers that is continuously adapted using input samples. The facial ROIs captured along each head track will be regrouped and ranked using quality measures for visualisation, analysis and recognition of each person’s face. The successful outcome of this research project will lead to the commercialization by Genetec Inc. of cost-effective software tools based on the proposed adaptive systems. TO BE CONT’D

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Faculty Supervisor:

Éric Granger

Student:

Partner:

Genetec Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Mevalonate Cascade Inhibition Sensitizes human Glioblastoma Cells to Temozolomide via Modulation of Autophagy

Glioblastoma multiforme (GBM), also known as glioblastoma and grade IV astrocytoma, is the most common and most aggressive cancer that begins within the brain. There is no clear way to prevent the disease. Typically treatment involves surgery after which chemotherapy and radiation therapy is used. The medication Temozolomide (TMZ) is frequently used as part of chemotherapy. Cholesterol lowering drugs (statins) is recently being considered as a novel and safe approach for combination therapies in many cancers. In the current project we are going to address how statins sensitizes human GBM cells to TMZ-induced programmed cell death. We will use different pharmacological and gene silencing approaches to investigated the role of program cell death in this mechanism. Our project will open a new horizon in treatment of GBM and provide opportunities to increase the survival rate of GBM patients.

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Faculty Supervisor:

Saeid Ghavami;Thomas Klonisch

Student:

Partner:

Health Sciences Centre Foundation

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Seasonal operational model for water management within irrigation districts

Reservoir operators typically determine flow releases by assessing the available storage and demand and then applying a rule?of?thumb. Thus, in spite of numerous previous and current computer modelling studies, the use of computer models in real?time reservoir operation on a district level is virtually nonexistent. The resulting “water savings” offer the opportunity to increase river flows, making greater volumes of water available to irrigated agriculture to reduce drought risks, or support irrigation sector expansion that meets all water licenses and in?stream water?quality objectives. Our proposed computer model will use runoff forecasts and historical runoff patterns, along with advanced optimization technique to update operational guidance based on current storage levels and crop demands. Six major irrigation districts in Alberta are participating as project partners and they will be involved in evaluating this tool. If the project succeeds, the tool could be linked as a web application with Alberta Agriculture and Forestry’s Irrigation Demand Model (IDM) and offered to both provincial and international audiences.

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Faculty Supervisor:

Evan Davies

Student:

Partner:

Optimal Solutions Ltd

Discipline:

Engineering

Sector:

Water; Agriculture and Food; Environmental Science and Technology

University:

University of Alberta

Program:

Accelerate

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