Innovative Projects Realized

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

29670 Completed Projects

2811
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4990
BC
801
MB
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

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

Utilisation de bois raméal fragmenté pour faciliter la recolonisation forestière sur roches stériles d’une mine d’or

Pour rétablir l’écosystème forestier sur roches stériles minières, la recolonisation naturelle à partir de la forêt environnante présente plusieurs avantages. Mais l’établissement des essences forestières requiert des conditions qui font défaut aux roches stériles. Du fait de leur manque en matière organique, ces substrats dégradés manquent de nutriments, d’eau, et d’organismes du sol. L’utilisation d’un amendement organique sous forme de paillis de bois raméal fragmenté ou BRF peut diminuer les extrêmes de température du sol, augmenter l’humidité, stimuler la présence de champignons et la libération des nutriments nécessaires à la croissance des plantes, et diminuer la compétition herbacée. L’objectif général de ce projet de maîtrise consistera à tester la capacité d’un paillis de BRF à favoriser la recolonisation naturelle des essences forestières environnant un site minier sur des roches stériles compactées avec et sans sol. Les résultats permettront d’établir des recommandations concrètes relatives aux substrats à utiliser en région boréale pour faciliter la réinstallation de l’écosystème forestier naturel. Pour le partenaire, les résultats du projet lui permettront de choisir la technique la plus adaptée à la restauration de son site à grande échelle afin de l’intégrer dans le paysage forestier environnant.

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Faculty Supervisor:

Marie Guittonny-Larchevêque

Student:

Partner:

Agnico Eagle Mines Limited

Discipline:

Life Sciences

Sector:

Mining; Natural Resources; Sustainability & the Environment

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Multi-agent Quadrotor Control and Distributed Intelligence in GPS Denied Environments

Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here will give a first step in this direction. More especifically, it will address the control of multiple quadrotor drones communicating over a wireless network to track a group of robotic cars in response to real-time mission commands operating in environments without GPS (for example inside buildings). The proposed research combines networked control theory, distributed intelligence, and robotics and is supported on BLE technology to implement a robotic real-time pursuer-evader game using quadrotor UAVs as the pursuers and robotic cars as the evaders.

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Faculty Supervisor:

Luis Rodrigues

Student:

Partner:

Echoer Canada Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Evaluating the prospective benefits of physical demands description (PDD) data created from job simulations

Every job at Ford Motor Company should have an associated document describing the physical demands (i.e., lifting, climbing, pushing, etc.) required in that job. This information is important to select job candidates with the right blend of capabilities to be able to safely meet these demands. Perhaps more importantly, this information also provides a benchmark to guide health care providers in helping injured workers rehabilitate their capabilities so that they can again return to their job, safely meeting the job’s demands. However, it is very time consuming to generate these reports and many health care providers often wish they had more details. With advances in the ability to simulate work using computer programs, there is a new opportunity to more quickly generate very detailed physical demand summary reports. This project will evaluate health care provider’s preferences regarding the usefulness of reports generated from work simulations compared to the traditional reports.

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Faculty Supervisor:

Steven Fischer

Student:

Partner:

Ford Motor Company

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Optimizing inter-device interaction in Drone-Aided Mobile Ad-Hoc Networks (DA-MANET) for Humanitarian Mission deployment

Every year, people suffer the consequences natural disasters descend upon them. When these unfortunate events occur, emergency response teams are deployed and need to deal with a multitude of challenges. In this scenario, the communication infrastructure is a key element that can contribute to the success of the mission. Considering the case of a Drone-Aided Mobile Ad-Hoc Network (DA-MANET), where devices such as drones and cell phones are available, it is imperative to investigate how their interaction must occur in a way to optimize the humanitarian mission. In this context several aspects need to be considered, such as device placement, energy consumption, overall network throughput, fairness between connections, and balance in use of short- and long-range connections. In this project we propose the creation of an optimization framework that deals with the multiobjective exploration for this specific type of network aiming to improve its performance for humanitarian mission deployment.

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Faculty Supervisor:

Gabriela Nicolescu

Student:

Partner:

Humanitas Solutions

Discipline:

Computer science

Sector:

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

University:

École Polytechnique de Montréal

Program:

Accelerate

An analysis of Delivra LivSport PreWorkout Cream combined with oral creatine to improve muscular performance and alter arterial stiffness

Creatine is a supplement known to improve performance over repeated high intensity exercise, seen in most sports. Typical creatine supplementation involves ingesting large amounts of the supplement, leading to side effects of weight gain and GI distress. Delivra™has formulated a new way to supplement creatine through a topical cream applied to the legs, which can potentially eliminate these side effects. This research will test this new creatine cream compared to oral ingestion to determine if it can improve high intensity performance, by generating more power and reducing fatigue. It will also research how this new method of creatine supplementation can improve vascular health associated with high intensity exercise. This will benefit Delivra™, as this product may be a new method by which athletes can supplement to improve in their sport as well as improve health of certain at risk populations who participate in exercise.

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Faculty Supervisor:

Travis Saunders;Philip Chilibeck;Jamie Burr;Adam Johnston

Student:

Partner:

Delivra Corp

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Guelph; University of Prince Edward Island; University of Saskatchewan

Program:

Accelerate

Automated Generation of Software Tools to Support Data Ingestion for Environmental Modelling and Monitoring

Environmental modelling and monitoring software systems, which are very important in assessing the effects of climate change, require open data from a large number of sources including all levels of government, NGOs such as watershed management authorities, consultants and business. This data needs to be brought together into internal databases and to be kept up-to-date to perform the required underlying computations. Collecting this data manually and keeping it current requires an incredible amount of error-prone manual labour. The goal of this project is to create a software system that will automatically collect and maintain the data and aggregate the data into the internal databases thereby removing the need for human intervention.

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Faculty Supervisor:

Donald Cowan

Student:

Partner:

Centre for Community Mapping

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Devulcanization of Scrap Rubber and Incorporation of Devulcanized Rubber in Virgin Rubber Compounds

The main focus of this project is to develope and optimize a rubber recycling technology in which the scrap rubber, such as scrap tires and automotive parts, can be recycled and incorporated in a new rubber product compound. Tyromer Inc. (www.tyromer.com) is created to commercialize a rubber devulcanization technology utilizing supercritical fluid and extrusion. The company product is a devulcanized rubber that can be reused in rubber goods manufacturing. As the company’s focus is to qualify its Tyromer product for tire application, it will be in a much stronger position to optimize product performance with a more in depth understanding of some of the factors affecting material properties. The key focus for company is to produce a product suitable for incorporation into new rubber compound for tire and automotive industry.

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Faculty Supervisor:

Alexander Penlidis

Student:

Partner:

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

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