Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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Projets par catégorie

A Framework for Development of Rediscovered Wood Underwater Salvage Certification Standard

“Underwater logging is the process of logging trees from underwater forest. It is expected that underwater logging will significantly increase in the coming years as the amount of flooded forests continue to grow due to dam construction and the availability of sophisticated underwater logging technology. Concerns about potential negative effects of underwater logging, like degradation of water quality and disturbed fish habitat, have led to the demand for sustainability criteria and certification system that can control underwater logging. Because neither such criteria and indicator sets nor certification systems for underwater logging are yet available, the objective of this study is to generate information that can help to develop sustainability criteria and indicators for underwater logging.Coast EcoTimber will be benefited through aligning its practices according to the specific requirements of the proposed framework of underwater logging standard to improve the marketability of their products and the transparency to the consumers. “

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Superviseur du corps professoral :

John Innes

Étudiant :

Partenaire :

Coast EcoTimber Inc

Discipline :

Earth science

Secteur :

Agriculture

Université :

The University of British Columbia

Programme :

Elevate

Next Generation Selective Nanocomposite Fibrous Membrane for Energy Recovery Ventilators – Year two

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and moisture from an exhaust contaminated indoor air are captured via ERV and recycled for conditioning entering outdoor air, ultimately resulting in energy savings and improving the indoor air quality of buildings. A membrane with high water vapor transport and selectivity over gases plays a key role in ERV to improve its efficiency of energy recovery and savings. A nanofibre technology and graphene chemistry will be applied to the development of the next generation ERV membranes. At the final stage, scaled-up nanocomposite fibrous membranes will be combined with the ERV devices designed by dPoint Technologies.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Ko

Étudiant :

Partenaire :

dPoint Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

Next Generation Selective Nanocomposite Fibrous Membrane for Energy Recovery Ventilators

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and moisture from an exhaust contaminated indoor air are captured via ERV and recycled for conditioning entering outdoor air, ultimately resulting in energy savings and improving the indoor air quality of buildings. A membrane with high water vapor transport and selectivity over gases plays a key role in ERV to improve its efficiency of energy recovery and savings. A nanofibre technology and graphene chemistry will be applied to the development of the next generation ERV membranes. At the final stage, scaled-up nanocomposite fibrous membranes will be combined with the ERV devices designed by dPoint Technologies.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Ko

Étudiant :

Partenaire :

dPoint Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

Daily Health Guide: Decision support for fitness/weight management using Personal Health Records

We will build a prototype system that can be used to give a personalized recommendation for the ideal fitness/weight loss regimen for a consumer given their personal health record data. This will be based on building a relational probabilistic model that is based on standard medical ontologies, initially on expert knowledge, and can make predictions from personal health records. The system will be evaluated against experts in exercise physiology and metabolic endocrinology. This will be used as the basis for future systems that can learn the models from data, and so provide auditable best-practices recommendations.

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Superviseur du corps professoral :

Andre Kushniruk

Étudiant :

Partenaire :

Treatment Networks Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Victoria

Programme :

Accelerate

A ubiquitous positioning solution for head-mounted sensors – Year two

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a car to navigate safely without, as well as estimate distance to nearby vehicles for collision avoidance.

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Superviseur du corps professoral :

Edward J Park

Étudiant :

Partenaire :

Elves Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Elevate

A ubiquitous positioning solution for head-mounted sensors

While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices. This work aims to develop novel vision-based algorithms for head-mounted sensors that would solve various problems such as finding the user direction of travel irrespective of their head orientation, finding the presence of obstacles and navigating away from them, and evaluating the performance of combining vision and inertial sensors algorithms and comparing them in terms of accuracy versus complexity. The proposed research is at the core needs of the sponsoring company, Recon Instruments, as the developed algorithms will be directly applied to the company’s suite of goggles and eyewear that comes equipped with a vision-based system. The algorithms developed will promote a safer ride and a more precise navigation solution.

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Superviseur du corps professoral :

Edward Park

Étudiant :

Partenaire :

Recon Instruments Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Elevate

A big data approach to schedule optimization

Workforce scheduling algorithms are used by businesses around the world, including hospitals, factories, and retail stores, to determine when and where employees should come to work. Usually, the needs of organizations change over time, but the scheduling algorithms used in these systems usually do not change. Kronos is an industry leader in scheduling software, and has access to a lot of data reflecting schedule changes in many organizations. This research project leverages big data methods in order to mine this data for interesting patterns, and to provide scheduling algorithms that adapt automatically in response to new requirements. In particular, we aim to learn a model of scheduling user intentions from the data, and use it to infer changes to the schedules provided by Kronos’ software that the user would be likely to desire.

Voir la description complète du projet
Superviseur du corps professoral :

Doina Precup

Étudiant :

Partenaire :

Kronos Canadian Systems Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Control of Imploding Metal Liners

This project will help the industrial partner design tests to prove a concept for fusion energy production. In the tests, metal cylinders (and other shaped liners) are dynamically collapsed to compress a high temperature plasma to fusion conditions. This highly dynamic event, however, may result in some of the metal from the cylinder contaminating the plasma. A strong shock wave can result in material leaving the wall of the cylinder, or the impact of one metal surface on another can result in jetting of metal. The metal liner can also buckle or rupture. All of these undesirable processes would contaminate the plasma and terminate the test. The process by which this metal debris is generated will be studied and techniques to control it developed.

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Superviseur du corps professoral :

Andrew Higgins;Jovan Nedic

Étudiant :

Partenaire :

General Fusion Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services; Utilities

Université :

McGill University

Programme :

Accelerate

Remediation of Contaminated Soil and Groundwater using Nanotechnologies

In recent years, the remediation of residual and historical soil and groundwater contamination has become a priority for the oil and gas industry. Due to increasing public awareness and media attentions, the exploration and implementation of cost-effective and environmentally friendly approaches for remediation of contaminated sites has increased significantly as a mechanism to demonstrate social accountability and environmental sustainability. In order to remove contaminants such as volatile organic compounds (VOCs), dense non-aqueous phase liquid (DNAPL), toxic solvents (sulfolane and chlorinated compounds), spilled oil, creosote, and etc., from groundwater and soil, this project will investigate novel methods, systems and apparatus which allow remediating impacted soil and groundwater media. The proposed remediation method utilizes novel nanomaterials and high energy irradiations that are cost effective and efficient.

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Superviseur du corps professoral :

Simon Park

Étudiant :

Partenaire :

Trium Environmental Inc

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

University of Calgary

Programme :

Elevate

Safety and Life Cycle Cost Analysis (LCAA) of a Network of Dual-Lane Multi-Modal Roundabouts

Modern roundabouts have become a subject of great interest and attention over the last few years. Compared to regular signalized intersections, roundabouts have the potential to reduce vehicular delay, emissions and increase safety. The objectives of this study is to conduct a life cycle cost analysis (LCCA) to examine the short and long term benefits from a multi modal perspective. This research aims to articulate a more thorough understanding of safety and operational performance of multimodal roundabout based on LCAA. Using real observed data from the vehicular traffic, pedestrians, cyclists and transit vehicles and complimenting it with microsimulation data, this research will assess the delay, environmental and safety impacts associated with all the stages of the roundabout life. Alberta Motor Association (AMA) is always keen to focus on research on the safety perspective of new innovative transportation solution. Also, ISL Engineering has a desire to be proactive in transportation planning and create sustainable engineering designs for its clients. Therefore AMA and ISL engineering would like to engage with researchers and new technologies at the University of Calgary.

Voir la description complète du projet
Superviseur du corps professoral :

Lina Kattan

Étudiant :

Partenaire :

ISL Engineering and Land Services Ltd;Alberta Motor Association

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Elevate

Simulating heat transfer mechanisms for additive manufacturing processes

Additive manufacturing (AM) is a process family which is widely used for deposition of thin protective layers of novel alloy materials on components operating in severe conditions, and also for fabrication and repair of complex 3D parts. The scope of this research is to establish a process planning framework for metal based bead deposition processes that considers the various machine, materials, and process parameters. The study proposes a validated simulation tool by which, the design time can be significantly shortened and process parameters such as heat input, travel speed, and boundary conditions can be adjusted in order to minimize the negative effects of the high-temperature process. The goal is to achieve a component with highest strength based on their functions with minimum developed stresses and distortions.

Voir la description complète du projet
Superviseur du corps professoral :

Mehrdad Saif

Étudiant :

Partenaire :

CAMufacturing Solutions Inc

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Optimization of Composting Processes

This proposal concerns with monitoring of composting processes at the Edmonton Waste Management Branch Utility. The ultimate purpose is to establish a practical framework and plan to examine the current state of composting processes and to identify potential areas for improvement. To gain a comprehensive overview of composting, all involved unit operations will be monitored via respirometric techniques which consider waste organic biodegradation. Hence, this research concisely includes: a literature review on respirometric methods; select and build a standard and one most promising respirometric method(s) in the R&D laboratory; develop the capacity to carry out the above methods; conduct a comparative study of the selected method(s) and standard methods currently used in Canada. This project enables the Edmonton Waste Management Branch to develop their in-depth knowledge of the current composting process and identify potential areas for improvement with respect to compost quality, process efficiency and sequentially reduce the environmental footprints.

Voir la description complète du projet
Superviseur du corps professoral :

Daryl McCartney

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

University of Alberta

Programme :

Accelerate

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