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

Exploratory study economical sorbents for polycyclic aromatic hydrocarbons removal from storm water runoff

Polycyclic aromatic hydrocarbons (PAHs) release to stormwater through wear of asphalt and tire as well as deposition of vehicle exhaust – are of great concern due to its acute toxic, carcinogenic and estrogenic effects on aquatic organisms. Stormwater contaminated with these organic pollutants pose a threat to receiving waters. Kerr Wood Leidal (KWL) is a leader in proving progressive solutions for stormwater management in BC, is seeking to improve the rain garden system to effectively capture these organic pollutants in the runoff. The proposed project will investigate various economical sorbents to remove these organic pollutants. Batch adsorption/desorption tests will be used to evaluate the efficacy of the sorbents and the leachability of the loaded sorbents. The results will assist the company in improving rain garden design and provide a new solution for KWL to control the major organic pollutants in stormwater runoff.

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Faculty Supervisor:

Loretta Li

Student:

Partner:

Kerr Wood Leidal Associates Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Efficient Implementation of IDA for Evaluating Seismic Response of Tall Buildings

One of the primary goals in tall building codes and standards is to protect life safety of inhabitants during earthquakes. Several methodologies have been proposed to achieve a proper performance of buildings. In this proposal, a recent method is applied using a series of nonlinear dynamic analyses under an appropriate suite of ground motion records. First, it is necessary to select a suite of ground motion records, which are gradually scaled from a very low to very high level. The structural model is then run under the modified records and results are illustrated to understand the structural behavior of a building. This process is performed several times for the different levels of the input motion shaking to understand the distinct stages in the behaviour of the building. TO BE CONT’D

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Faculty Supervisor:

Carlos Ventura

Student:

Partner:

PBRV Consulting Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Using Deep Recurrent Neural Networks to Build a Motion Search Engine for Animators

Building on top of the numerous recent advances in deep learning (and in machine learning in general), we aim at learning high-level, semantically plausible representations of animation data and human from 3D skeletal data in order to automate or replace different tasks of the animation pipeline which require sometimes rigorous human work.
Specifically, the tasks of interest include automatically classifying and locating human actions inside long, continuous Motion Capture (MOCAP) sequences. This will allow re-usability of the large amount of existing MOCAP data from which it is prohibitively long to retrieve information about the actions it contains.
Another task of interest is the search for movements not based on keywords, but based on similar animations. In this scenario, we aim at being able to find similar existing animations based on a query animation, removing the need for a precise action vocabulary, and again, enabling easy re-use of existing assets.

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Faculty Supervisor:

Christopher Pal;Michel Gagnon

Student:

Partner:

Ubisoft Divertissement

Discipline:

Computer science

Sector:

Entertainment and Media; Technology; Other

University:

École Polytechnique de Montréal

Program:

Accelerate

Planificateur de trajectoires modélisant automatiquement la dynamique d’un véhicule autonome en fonction de la perception de son environnement par un capteur de vision tridimensionnelle

L’Institut du véhicule innovant (IVI) situé à Saint-Jérôme a récemment mis sur pied le programme Arion qui vise à créer un système de navigation pour véhicule autonome hors route adaptable à plusieurs contextes et environnements. L’IVI veut transférer toute la technologie développée dans le développement de ce système à diverses PME partenaires désirant créer des produits reliés à l’automatisation véhiculaire. Actuellement, le contrôle d’un véhicule hors route évoluant dans des environnements complexes tels qu’une mine, une forêt ou un champ agricole représente un défi de taille. L’objectif du présent projet de recherche est de repousser ces limites en développant un système de navigation qui s’adapte à la fois à son environnement et à la dynamique complexe d’un véhicule hors route. Le coeur du projet consiste à construire un modèle statistique du robot à mesure que celui-ci se déplace. TO BE CONT’D

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Faculty Supervisor:

François Michaud

Student:

Partner:

Institut du véhicule innovant

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Annual survey of Ontario’s publicly funded education system

Over the past 15 years, People for Education has conducted a survey of Ontario’s publicly funded schools. From this large-scale survey, People for Education produces research reports on public education in Ontario that are widely disseminated to the public and have been instrumental to informing educational policy in the province. The core objectives of this year’s survey are to examine school staffing levels, school access to specialists, school-community partnerships, and the extent of implementation of provincial mandates in career and life planning, English language learning, and special education. For this survey, the intern will analyze responses to the survey and provide the results to People for Education. The intern will also write research reports for public consumption on the results from the survey. By employing the intern, People for Education will improve its ability to analyze and write about its annual survey.

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Faculty Supervisor:

Scott Davies

Student:

Partner:

People for Education

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Towards an operational database of forest bird abundance in British Columbia

Forest companies would like to reduce the number of birds, eggs, and nests that are negatively affected by logging. The problem is that we don’t have detailed knowledge of where every bird lives, so it’s difficult to make educated choices about where and how much forest to harvest. My research will provide a solution to this problem. I will relate bird data to forest characteristics like age and height to understand which forest types have the most birds, and to map out where birds are most likely to live. This information will be provided to the partner organizations and other forest companies to ultimately help develop logging plans that reduce accidental destruction of bird nests and eggs.

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Faculty Supervisor:

Erin Bayne;Fiona Schmiegelow

Student:

Partner:

Canadian Forest Products Ltd;West Fraser

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Modeling Wind loading on Roof-mounted Solar Modules

Rooftop solar modules installations are growing in popularity as the benefits of implementing these features on previously unoccupied roof space are being realized. A major concern with these installations is the contribution to the roof load due to the interaction between high wind speeds and the angled modules. Similarly, there are concerns with uplift on the backside of the modules. These loads can lead to high cost of the structural support for the modules. The wind patterns that occur during the interaction of these installations in series is complex, and presents challenges when modeled both in wind tunnels and CFD. The objective of this research would be to improve the computational simulations of extreme wind loading on roof mounted solar panels for RWDI. OpenFOAM will be used for the simulations because it does not require licencing and has a proven track record. It is expected that RANS and possibly URANS turbulence models will be used during these simulations. This will be useful to RWDI as requests for rooftop wind load assessment will become more common and RWDI aims to provide accurate and reliable results from a range of testing methods.

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Faculty Supervisor:

David H. Wood;David H Wood

Student:

Partner:

Rowan Williams Davies & Irwin Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Morphodynamic model development to better integrate the impact of riparian vegetation on bank erosion

Morphodynamic models are increasingly used in watershed management to predict the evolution of river channels and to test management scenarios prior to their implementation. The impact of plants in riparian zones is particularly critical to better document, but the current models rarely integrate this component. This project will use a bank erosion module and a vegetation module, recently developed during the intern’s PhD research to address some of the weaknesses of existing morphodynamic models, to develop knowledge on the effects of riparian plants on bank erosion. This project also seeks to examine the current modelling process at JFSA, detect opportunities for improvements, and suggest guidelines that will contribute to a more efficient modelling process. This will help JFSA improve their river restoration approach using predictive tools which integrate complex interactions between vegetation and river dynamics.

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Faculty Supervisor:

Pascale Biron

Student:

Partner:

J.F. Sabourin et associés inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Magnetic surveying with a new high-precision fluxgate magnetometer on a rotary-wing unmanned aircraft system

Balch Exploration Consulting Inc. (BECI) develops low cost geophysical survey solutions to the natural resources sector. They are investing in the development of a rotary-wing unmanned aircraft system (UAS) with a new high-precision fluxgate magnetometer. The general objective of this internship is to develop a rotary-wing UAS for aeromagnetic surveying. Specific objectives are to: assemble a rotary-wing UAS with an autopilot system; integrate the fluxgate magnetometer onto the UAS; characterize the magnetic signature of the UAS and its onboard components; perform an aeromagnetic demonstration survey; and process, analyze, and display the survey results. The project deliverables are a functioning rotary-wing UAS capable of acquiring high quality magnetic

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Faculty Supervisor:

Claire Samson

Student:

Partner:

Balch Exploration Consulting Inc

Discipline:

Earth science

Sector:

Mining; Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Études du développement d’une plateforme informatique de test et de validation pour les moyens de communication embarqués dans les véhicules autonomes

De nos jours, les véhicules deviennent de plus en plus intelligents et embarquent des technologies et techniques de plus en plus complexes afin d’assister les utilisateurs que ce soit dans la prise de décision ou pour améliorer l’expérience de conduite (confort, sécurité, etc.). Les véhicules ont de plus en plus besoin de communiquer afin de fournir des services divers et variés à leurs utilisateurs. Cette communication combinée aux capteurs et équipements déployés à bord servent afin d’éviter des accidents, planifier un chemin optimal en prenant en compte les conditions du trafic routier, etc… Cette nouveauté pour les véhicules ouvre la porte à de nouveaux risques potentiels : défaillance de capteurs ou d’actionneurs, exposition à des risques d’attaques externes en détournant les moyens de communication embarqués. TO BE CONT’D

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Faculty Supervisor:

Denis Gingras

Student:

Partner:

OPAL-RT Technologies Inc.

Discipline:

Engineering

Sector:

Automotive; Information and Communications Technology; Transportation (excluding aerospace)

University:

Université de Sherbrooke

Program:

Accelerate

Ultrasonic inspection of large steel forgings using a custom linear array

The aim of this project will be to evaluate the performance of a custom ultrasonic linear array transducer in an industrial setting. The partner organization, Finkl-Steel Sorel, is a manufacturer of high quality steel forging andhas a desire to improve the inspection tools they are currently using. However, due to the size of the steel forgings they manufacture commercial ultrasound array transducers are not performing to the desired standard. During the internship, the student who developed a custom array transducer adapted to the size of the steel forgings to be inspected will validate the concept he has developed over the last couple years.

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Faculty Supervisor:

Pierre Bélanger;Mohammad Jahazi

Student:

Partner:

Finkl Steel Sorel

Discipline:

Engineering

Sector:

Manufacturing and Construction; Advanced Manufacturing; Other

University:

École de technologie supérieure

Program:

Accelerate

Determination of active surface area and gas permeability of fuel cell catalyst layers

Within a hydrogen fuel cell, the cathode catalyst layer (CCL) is generally considered a limiting component in overall performance due to sluggish oxygen reduction reaction kinetics. The proposed internship is comprised of two projects, each characterizing the materials used in the CCL. The first project will investigate the permeability of oxygen, nitrogen, and helium gases through a series of polymer materials found in CCLs will be investigated to see how processing techniques, additive usage, and different suppliers impact resulting gas transport, which experiences impediments at high current densities. In the second project the surface area of catalyst in the CCL which is accessible for the oxygen reduction reaction will be determined for a series of CCLs prepared at the partner organization. The materials used and processing techniques are expected to change the accessible surface area which is an important factor in maximizing catalyst utilization. The partner organization will benefit by having an expanded knowledge base which will assist in making key design decisions for commercialization of fuel cell vehicles.

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Faculty Supervisor:

Steven Holdcroft

Student:

Partner:

Automotive Fuel Cell Cooperation Corp

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

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