Innovative Projects Realized

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

29670 Completed Projects

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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Développement d’éléments préfabriqués et de réparations pour les infrastructures avec les bétons fibrés à hautes et ultra-hautes performances- Phase 3

Les infrastructures en béton armé (ponts, routes, ports, canaux de navigation) ont un impact majeur sur la société. Les bénéfices économiques reliés à l’utilisation de ces infrastructures sont considérables, cependant ils sont contrebalancés par les coûts directs des travaux de remplacement ou de réhabilitations récurrentes. Le projet Développement d’éléments préfabriqués et de réparations pour les infrastructures avec les bétons fibrés à hautes et ultra-hautes performances (BFHP et BFUP) vise à développer des méthodes rapides et innovantes de construction, réhabilitation et renforcement durables des ouvrages avec les BFHP et BFUP qui présenteront une durabilité et une fiabilité nettement supérieures à celles obtenues avec les méthodes actuelles. D’une part, le projet permettra de développer de nouvelles applications structurales en BFHP et BFUP, soit des tabliers de ponts préfabriqués, des panneaux préfabriqués pour murs, des parapets avec coque préfabriquée. TO BE CONT’D

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Faculty Supervisor:

Jean-Philippe Charron

Student:

Partner:

Corporation de Gestion de la Voie Maritime du St-Laurent

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Polytechnique Montréal

Program:

Accelerate

Order picking optimization at a pickup-van storage manufacturing warehouse

Ranger Design is a manufacturer of van storage units and accessories. Since order picking activities are considered to be an integral part of its warehouse operations and perceived to be conducive to significant improvements, re-engineering and optimization of the order picking process are in order. As such, the company is looking for an opportunity to reduce the travel time involved in order picking by re-engineering and optimizing the order picking process. This applied research project aims at developing an optimization model through which the most promising warehouse order picking operations in terms of travel time reduction are identified. The study will also address sensitivity analyses of input parameters. An implementation plan for the proposed order picking system will be presented.

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Faculty Supervisor:

Ahmet Satir;Satyaveer Chauhan

Student:

Partner:

Ranger Design

Discipline:

Business

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Development of improved fuel cell system hybridization, control and on-board diagnostics for heavy duty bus and rail applications

This proposed research project is an extension of a previous NSERC CRD project that is investigating hybridization optimization of Proton Exchange Membrane Fuel Cells (PEMFCs) used in FC bus and rail applications. The models developed in this research are expected to yield improved fuel cell and system lifetimes in service, and improved detection and mitigation of fuel cell faults causing degradation and unacceptable emissions, and detection/mitigation of critical system component faults.

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Faculty Supervisor:

Jiacheng Jason Wang;Krishna Vijayaraghavan

Student:

Partner:

Ballard Power Systems Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Elk habitat selection in Manitoba’s agricultural landscapes: understanding its effect on stress and reproductive success

In Manitoba, elk herds are either small or declining, and the relationship between farmland use by elk and population declines is unclear. Animals typically choose to either avoid predators or access good food resources when choosing habitat, and this trade-off may bring about natural selection if some individuals make better decisions than others. Our project seeks to understand how individual elk use the landscape in response to farmland. To do this, we will look at ranges of individual elk to determine how much farmland each individual uses as the amount of available farmland and predator pressure changes. Next we will look at the variation in nutrition, stress levels, and whether individuals give birth to calves depending on how much farmland they select. To BE CONT’D

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Faculty Supervisor:

Eric Vander Wal

Student:

Partner:

Nature Conservancy of Canada

Discipline:

Life Sciences

Sector:

Sustainability & the Environment

University:

Memorial University of Newfoundland

Program:

Accelerate

Named Entities Recognition for Customer Service Automated System

This project aims at creating a robust, efficient and reliable tool for Named Entities Recognition (NER) from vast amounts of textual data related to the customer service.
Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.
Moreover, those extracted named entities will be mapped to existing concepts of an ontology.
The development of such tool will enable easier and quicker decision-making in the customer service for the industrial partner.

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Faculty Supervisor:

Fatiha Sadat

Student:

Partner:

Thales Canada Inc

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

Université du Québec à Montréal

Program:

Accelerate

Optical Characterization of the SunSimba CPV concentrator

Concentrating Photovoltaic (CPV) systems use low-cost optics to concentrate sunlight onto the highest efficiency solar cells. They typically use 0.1% of the expensive materials used in traditional solar panels and achieve double the efficiency. The Morgan Solar CPV product uses Total internal reflection principals to concentrate the light. Comprehensive characterization of each component of the optical assembly, as well as the assembly as a whole is proposed in this project. Detailed spatial and spectral analysis will be undertaken, which will be used to determine the overall optical efficiency and to further optimize the design and manufacturing of the products.

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Faculty Supervisor:

Karin Hinzer

Student:

Partner:

Morgan Solar

Discipline:

Physics

Sector:

University:

University of Ottawa

Program:

Accelerate

Altitude & Heat – environmental synergies to optimize human performance – Year two

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as 5-7 days of exercise induced heat acclimation can increase blood volume by 5-10%, resulting in increased tolerance to heat, increased VO2max /cardiac output and improve endurance performance as well. However, the concept of “cross-tolerance” has recently emerged, which is the use of heat and altitude synergistically to augment adaptation and performance; however studies in humans are sparse. Furthermore, there is an opportunity to implement non-invasive / wearable near-infrared spectroscopy (NIRS) technology to further our understanding of peripheral mechanisms of muscle oxygenation/utilization in elite athletes in various environmental conditions, and to better elucidate performance determinants in endurance sport. TO BE CONT’D

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Faculty Supervisor:

Michael Koehle

Student:

Partner:

Canadian Sport Institute Pacific

Discipline:

Physics

Sector:

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

University:

The University of British Columbia

Program:

Elevate

Altitude & Heat – environmental synergies to optimize human performance

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as 5-7 days of exercise induced heat acclimation can increase blood volume by 5-10%, resulting in increased tolerance to heat, increased VO2max /cardiac output and improve endurance performance as well. However, the concept of “cross-tolerance” has recently emerged, which is the use of heat and altitude synergistically to augment adaptation and performance; however studies in humans are sparse. Furthermore, there is an opportunity to implement non-invasive / wearable near-infrared spectroscopy (NIRS) technology to further our understanding of peripheral mechanisms of muscle oxygenation/utilization in elite athletes in various environmental conditions, and to better elucidate performance determinants in endurance sport. TO BE CONT’D

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Faculty Supervisor:

Michael Koehle

Student:

Partner:

Canadian Sport Institute Pacific

Discipline:

Physics

Sector:

Life Sciences (not health); Environmental Science and Technology; Other

University:

The University of British Columbia

Program:

Elevate

Using wearable sensor-based technologies to detect changes in health status for prevention of adverse health events and to improve overall quality of life – Year two

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single and/or dual-task IMU-derived gait metrics as well as from force plate gait initiation data. Respectively, Project II and III will concurrently provide validation of Orpyx LogR technology measurements and then determine sensitivity and specificity for retrospective and prospective classification of fallers and non-fallers for a composite measure drawn from a battery including clinical tests of dynamic balance and Orpyx LogR derived measures including postural sway during quiet stance, as well as gait measures during gait initiation and single and/or dual task walking. Project IV will use will use custom algorithms to develop client-specific models of fall prediction incorporating relevant measures identified in Project II. These measurements of gait and balance can act as biomarkers to provide early detection of changes in health status. Providing timely information to caregivers about changes in health status will allow for appropriate interventions with potential to mitigate adverse health events.

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Faculty Supervisor:

Marc Klimstra

Student:

Partner:

Orpyx Medical Technologies

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Victoria

Program:

Elevate

Using wearable sensor-based technologies to detect changes in health status for prevention of adverse health events and to improve overall quality of life

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single and/or dual-task IMU-derived gait metrics as well as from force plate gait initiation data. Respectively, Project II and III will concurrently provide validation of Orpyx LogR technology measurements and then determine sensitivity and specificity for retrospective and prospective classification of fallers and non-fallers for a composite measure drawn from a battery including clinical tests of dynamic balance and Orpyx LogR derived measures including postural sway during quiet stance, as well as gait measures during gait initiation and single and/or dual task walking. Project IV will use will use custom algorithms to develop client-specific models of fall prediction incorporating relevant measures identified in Project II. These measurements of gait and balance can act as biomarkers to provide early detection of changes in health status. Providing timely information to caregivers about changes in health status will allow for appropriate interventions with potential to mitigate adverse health events.

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Faculty Supervisor:

Marc Klimstra

Student:

Partner:

Orpyx Medical Technologies

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Victoria

Program:

Elevate

The Essence of Improvisation: Promoting Emotional Fitness in Employees, Products, and Customer Experiences

My proposal directly builds on my Ph.D. work, which has concerned how musical and theatre improvisation can be applied in business and public health settings to promote cognitive and social-cognitive goals. In particular, Lululemon is interested in harnessing the cognitive principles underlying improvisation in order to promote emotional fitness in two complimentary ways––at a human resource level through targeted, research-informed training sessions with Lululemon employees, and at a customer level by the creation of new products and/or in-store experiences that embody the concept of ‘holistic fitness’. The goal of my proposal is to facilitate these aims for Lululemon by developing a line of basic cognitive neuroscience research at UBC that seeks to distill down the cause-and-effect impacts of improvisation training so that they can be more directly applied to meet customer and human resource needs.

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Faculty Supervisor:

Rebecca Todd;Todd Handy

Student:

Partner:

Lululemon

Discipline:

Business

Sector:

Other

University:

The University of British Columbia

Program:

Elevate

Simulation and Analysis of Aerators at Fish Farms

Fish farms are a way to satisfy the increasing demand for fish without directly impacting wild stocks. In fish farms water quality significantly impacts fish health and development. Industrial fish farms rely on aerators for multiple purposes, including the oxygenation of water and the isolation of fish from plankton blooms. However, at this time, several critical aspects of aerators are not completely understood.
This study will be conducted in several stages, with a combination of experimental and simulation techniques. The first stage will involve field measurements in an operating fish farm. Next, computational techniques will be implemented in order to predict the flow from one aerator, and subsequently, from an array of aerators. The final stage will use the experimental and simulated results to determine the optimal design for individual aerators as well as their preferred placement within a fish pen.
Poseidon Ocean Systems Ltd. will use the results of this research to assess the current behavior of aerators and then improve upon their novel conceptual design. There is also potential for significant environmental benefits as fish farm aerators are powered by diesel generators, and optimization of the aerators will result in reduced consumption of diesel fuel.

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Faculty Supervisor:

Sheldon Green

Student:

Partner:

Poseidon Ocean Systems

Discipline:

Engineering

Sector:

Agriculture

University:

The University of British Columbia

Program:

Elevate