Projets novateurs réalisés

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

30156 projets achevés

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5059
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812
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673
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842
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Projets par catégorie

Real-Time Decision Support System for Stock Trading

Equity trading systems require the trader to constantly make decisions about buying or selling equities quickly in a highly stressful environment. The information is typically confusing, highly dynamic, and imprecise and often conflicts with other information. There is also a huge amount of information that could potentially be used in the decision making process. There is very high potential for significant financial gains or losses depending on what decisions are made. This project aims to develop a decision support system that offers the most relevant information in a fashion that is helpful rather than confusing. The problem of selecting the right stock at the right time involves not only uncertain, dynamic and imprecise information but also selecting from a number of alternatives that need to be ranked based on several, and sometimes conflicting, criteria.

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Superviseur du corps professoral :

Abdallah Mohamed;Yong Gao

Étudiant :

Partenaire :

invLogik Solutions inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of British Columbia - Okanagan

Programme :

Accelerate

Analysis and Optimization of a New Hi-Rail Design

The concept of Hi-Rail (highway-railway) units permits the normal road trucks to move in railway infrastructure. Hi-Rail vehicles serve different purposes, as well as maintenance, inspection and regular track works, in railway industry. Continental Railworks with more than 20 years of experience in providing Hi-Rail units for the class-1 railway companies in North America is interested in redesign of one of its popular units. Re-evaluation of the structural integrity of the Hi-Rail along with weight reduction of design are the main objectives of this project. Different engineering tools from the hand calculation to the Finite Element Methods and dynamic analysis packages are expected to be utilised for development of this new design. Derailment probability and roll stability of the Hi-Rail trucks have not yet been fully investigated. The road and rail vehicle dynamics experimented in this intern project could contribute to the railway industry by increasing the safety. Optimisation and weight reduction of the unit will also improve considerably the ride quality of the Hi-Rail vehicle and can increase its life span.

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Superviseur du corps professoral :

Waizuddin Ahmed

Étudiant :

Partenaire :

Continental Railworks Technology Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Adoption of new malt barley varieties by malt barley exporters

Canadian malt barley is grown in western Canada and is sold to maltsters who produce malt, a key ingredient in the brewing industry. Brewing companies have resisted switching to new malt barley varieties because it may affect their products. Maltsters are reluctant to buy new malt barley varieties, and farmers are reluctant to adopt new varieties given uncertainty over market demand. As a result, farmers have tended to keep growing the same variety of malt barley despite improved varieties being available. A similar lag in the adoption of new varieties is not occurring in Canada’s main export competitor markets, leading to a potential innovation gap. The project will provide an overview of the current malt barley marketing and supply chain environment in Canada and will examine the development and marketing of malt barley varieties in Australia and selected European countries. The project will assist SaskBarley in identifying potential roadblocks in the adoption of new barley varieties within current Canadian malt barley value chains.

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Superviseur du corps professoral :

Jill Hobbs;Eric Micheels

Étudiant :

Partenaire :

Saskatchewan Barley Development Commission

Discipline :

Business

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Accelerate

An Enhanced Multifunctional Battery Energy Storage System for Energy Management and Power Quality Improvement – Year two

Canada is becoming an international leader in energy storage systems. Battery energy storage systems (BESS) are one of the key parts of the storage landscape and can serve a wide range of applications across the electricity supply chain. The focus of this research project is on the application of BESS in mitigating power quality issues in industrial facilities. An enhanced configuration is designed to enable BESS to provide multiple supplementary functionalities such as energy management solutions to their host industrial facility, in addition to their contribution to power quality improvement. A scaled-down experimental setup will be constructed for testing and verifying the performance of the proposed BESS.

Voir la description complète du projet
Superviseur du corps professoral :

Bala Venkatesh

Étudiant :

Partenaire :

Toronto Metropolitan University;Jule

Discipline :

Engineering

Secteur :

Energy and Utilities; Green/Alternative Energy; Other

Université :

Toronto Metropolitan University

Programme :

Elevate

An Enhanced Multifunctional Battery Energy Storage System for Energy Management and Power Quality Improvement

Canada is becoming an international leader in energy storage systems. Battery energy storage systems (BESS) are one of the key parts of the storage landscape and can serve a wide range of applications across the electricity supply chain. The focus of this research is on the application of BESS in mitigating power quality issues in industrial facilities. To further enhance the value proposition of BESS, novel methods will be proposed for allowing BESS to provide multiple supplementary functionalities such as energy management solutions to their host industrial facility, in addition to their contribution to power quality improvement. Hence, this research aims to develop an enhanced BESS configuration, and to further develop its systematic design and sizing procedure and its transient operation assessment. A scaled-down BESS experimental setup will be constructed for testing and verifying the performance of the proposed BESS. The proposed BESS with its novel configuration and multifunctional control capability will enable our industrial partner eCAMION Inc. to fully understand the needs and requirements for their battery storage solutions and to expand their potential market by enhancing the value proposition of their product.

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Superviseur du corps professoral :

Bala Venkatesh

Étudiant :

Partenaire :

Jule;Toronto Metropolitan University

Discipline :

Engineering

Secteur :

Energy and Utilities; Green/Alternative Energy; Other

Université :

Toronto Metropolitan University

Programme :

Elevate

DEVELOPING AN ENHANCED OIL RECOVERY SOFTWARE BY UTILIZING BIG DATA ANALYTICS TO EVALUATE VARIOUS ENHANCED RECOVERY METHODS – Year two

The continuing rise in demand, the decline in conventional domestic production, and the belated development of alternatives to petroleum combine to increase the importance of seeking new resources and methods for enhanced oil recovery (EOR). The amount, cost, and timing of the EOR contribution are highly uncertain. Additionally, due to the current economical constraints that oil industry is experiencing, the search for a cost-effective recovery method is even more significant. The results of this research proposal will deliver a comprehensive EOR software package including various screening, analysis, and prediction tools to extensively evaluate EOR methods. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Farshid Torabi

Étudiant :

Partenaire :

Petroleum Technology Research Centre;University of Regina

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Elevate

DEVELOPING AN ENHANCED OIL RECOVERY SOFTWARE BY UTILIZING BIG DATA ANALYTICS TO EVALUATE VARIOUS ENHANCED RECOVERY METHODS

With the current challenges with depleted reservoirs and problems associated with heavy oil production, the implementation of the most cost-effective and feasible enhanced oil recovery method is inevitable. There are a wide range of EOR methods available and developed, which are in most cases expensive and complicated to carry out. Therefore, an extensive preliminary screening procedure is necessary before conducting a field-scale EOR method. However, there is not a comprehensive database or software available to carry out this extensive preliminary study which can be used as a reliable source. The current EOR software in the market do not cover the whole range of EOR methods, or they are just using conventional computation methods which are not robust and can not adopt to newer candidate reservoirs with specific and unique conditions. Furthermore, for the case of sequential oil recovery methods utilization there is not even enough experimental data and information available. It has been found that soft computing and optimization tools can be successfully used in the area of data mining and reservoir management in oil and gas industry. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Farshid Torabi

Étudiant :

Partenaire :

Petroleum Technology Research Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Elevate

Production planning at Wesgar

Wesgar is a factory that produces metal sheets for its customers. After a product is ready, it will be delivered to the customer. The objective of this project is to improve the On Time Delivery. At Wesgar they have different machines in their production system. These machines are able to process different products based on the shape, size and material. Each product must pass some specific machines to be processed through the production plan. A schedule that determines which product must pass which machine at what time is required for the production system at Wesgar. Currently they use a software everyday to schedule their production system. They are basically using a traditional forward and backward technique to schedule their system. In order to reach the objective we are planning to improve the scheduling technique. Other scheduling methods and software packages must be evaluated to find an alternative that creates a better schedule that leads us to a more efficient system.

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Superviseur du corps professoral :

Tamon Stephen

Étudiant :

Partenaire :

Wesgar Inc

Discipline :

Mathematics

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Embroidery Automation and Optimization for Mass Customization

Embroidery is a very popular art and a method of customization in the fashion industry. The method of embroidery has changed little since the advent of programmable sewing machines in the 20th century. Today, there is high demand for mass customization: consumers want their personalized embroidery patterns on their clothing. Technology already allows consumers to submit a picture while placing an order for clothing, and to receive the clothing with an embroidered pattern matching the picture. However, this process is time-consuming and human labour-intensive: a human worker takes the picture, picks out the thread colors, and creates a sequence of embroidery-machine instructions to create the pattern. We propose to use machine learning to automate and optimize this process. We will develop algorithms to pick the appropriate thread colors, generate previews of the final embroidered pattern, and minimize the stitch count subject to symmetry and quality constraints.

Voir la description complète du projet
Superviseur du corps professoral :

Jia Yuan Yu

Étudiant :

Partenaire :

Monsieur Stitches Inc

Discipline :

Computer science

Secteur :

Retail trade

Université :

Concordia University

Programme :

Accelerate

Contribution à la modélisation et la prédiction de la fiabilité résiduelle d’une roue de turbine hydraulique

Ce projet a pour but de proposer aux exploitants des centrales hydroélectriques d’Hydro-Québec un modèle d’estimation et de prédiction de la dégradation de leurs turbines hydrauliques. Celui-ci pourra être régulièrement mis à jour en se basant sur des inspections planifiées et réalisées de façon logique. L’estimation de la dégradation des systèmes est essentielle à la planification de la maintenance. En effet, afin de réduire au maximum les coûts liés au maintien en bon état des équipements, une maintenance (préventive de préférence) doit être réalisée aux moments opportuns ; que ce soit du point de vue du seuil critique de dégradation ou de celui des pertes d’exploitations qui sont les conséquences d’un arrêt de production. Les retombées espérées du projet se traduisent en une réduction des coûts liés à la maintenance et une meilleure disponibilité des équipements de l’exploitant.

Voir la description complète du projet
Superviseur du corps professoral :

Souheil-Antoine Tahan;Mitra Fouladirad

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

A model of larval mosquito habitat productivity for Metro Vancouver

To improve mosquito control and public planning, we will identify places and times that mosquitoes are likely to flourish. A local mosquito control company, Culex Enviornmental Ltd., has been counting and identifying species of mosquito larvae across Metro Vancouver for more than 10 years. We will use their valuable data to create maps of potential mosquito hot spots for the entire area, taking into account weather, land use, elevation, and other features that control numbers of mosquito larvae. There are several different species of mosquitoes found in Metro Vancouver. Some bite people and some bite animals, some spread disease and some don’t. Because of this we will produce different maps for each species. When done, Culex will be able to use the methods we’ve developed to offer similar services to other places, including countries where mosquito-bourne diseases such as malaria commonly take lives and devastate communities.

Voir la description complète du projet
Superviseur du corps professoral :

Bernard Roitberg

Étudiant :

Partenaire :

Culex Environmental Ltd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Unmanned Aerial Vehicles for quantifying natural disaster damages in crops of Alberta

The agriculture sector is one of the major pillars in the Canadian economy based in cereal, pastureland for cattle, and biofuel (wheat, canola and barley), and was estimated to be a $7 billion industry in 2015 in Alberta. It is also one of the most economically risky activities since the value of the yield is affected by market fluctuations and it is often affected by extreme weather episodes, especially hail storms in the summer, that provoke important yield losses. These yield losses cause important economic burden not only to farmers but also to the Canadian government and public taxpayers, since agriculture is subsidized. Moreover, adjusters are generally overwhelmed with claims after a hail storm. In 2015 alone, there was $1.2 billion in loss payouts and thousands of crop insurance claims were processed by the provincially backed insurer. In this scenario, drones arise as an efficient tool for supporting the evaluation of damages in crops caused by weather inclemency by reducing time and field adjusting costs of inspection and providing accurate estimations of yield losses. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Arturo Sanchez-Azofeifa

Étudiant :

Partenaire :

Skymatics Ltd

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

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