Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Barley Flour: Chemical Composition, Effect of Enzymatic Treatment on Flavor Interaction, and its Application in High Protein Food Products

The main objective of this research study is to investigate the potential of proteins from barley as functional ingredients and to study their interactions with some selected flavors. Three specific objectives will be addressed throughout this project. Barley protein will be isolated and qualified, including determining its functionality properties (ex. emulsification, foaming), and the effects of protein profiles (barley proteins, other control proteins) and their forms (native, enzymatic hydrolysates), on the protein/flavor interactions and the overall acceptance (in terms of the sensory properties) of a selected high-protein product will be investigated. Optimization of the flavor profile of a selected high-protein product while incorporating barley protein. This projects presents an opportunity for Bariatrix Nutrition Inc to have an edge in terms of understanding barley protein and direct implementation into its products. Moreover, a comparison of proteins and their flavor interaction can improve formulation in terms of increasing flavor shelf life in their wide array of products.

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Superviseur du corps professoral :

Salwa Karboune

Étudiant :

Partenaire :

Bariatrix Nutrition Inc

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

McGill University

Programme :

Accelerate

Towards interactive and adaptive visualizations for preferential choices and public engagement

Information visualization is gaining importance for analyzing large and complex datasets. There is evidence that user’s performance and satisfaction in working with visualizations can be influenced by cognitive or personality traits. Thus, researches have started investigating how information visualization tools could be made more effective and usable by enabling them to adapt in real-time to user’s traits. However past researches mostly focused on simple visualization such as bar charts, and simple tasks. The intern will contribute to this line of work by investigating user’s behavior when working with an advanced interactive interface designed by the partner organization, which combines different visualizations for making subjective decisions. The intern will study if past results found for simpler visualization/tasks still hold with this more advanced interface. The partner organization will benefit from this work by usability tests of their system as well as guidelines to design more effective and attractive interfaces.

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Superviseur du corps professoral :

Cristina Conati

Étudiant :

Partenaire :

Envision Sustainability Tools Inc.

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

The University of British Columbia

Programme :

Accelerate

Investigation and implementation of high performance passive and active building blocks of a silicon-based integrated millimeter-wave radar transceiver for automotive safety applications

This project is intended to investigate and address some of the challenges in the implementation of high quality factor and compact passive components and structures and their application in implementation of active circuit blocks in integrated circuit silicon technology at millimeter wave range of frequency. Advanced deep sub-micron silicon technologies such as SiGe and CMOS offer fast and high frequency transistors however the substrate is lossy and a challenging environment for implementation of high frequency passive components. Overcoming this challenges will pave the road for implementation of low cost and mass production grade devices and system on chip at very high frequency for emerging applications of automotive radar sensors and Gigabit/sec communication and wireless data transfer. MMSENSE Technologies is currently developing products in millimeter wave band for sensing and communication markets and this project will address some of the challenges in product development in leading edge silicon based technologies. Conducting research in this area and applying latest research results into the product development will help MMSENSE Technologies to stay competetive and develop competitive products for emerging millimeter wave applications

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Superviseur du corps professoral :

Ammar Kouki

Étudiant :

Partenaire :

mmSense Technologies

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

Sequential Pattern and Association Rule Mining with Big Sales data for Online Merchants

The goal of this research project is to answer the following two highly-coupled questions concerning essentially all online merchants: (1) which items in my current inventory are highly relevant and should be sold or recommended together? and (2) what new merchandise should be put into my current online store? The key to answering the above questions relies on efficient data mining techniques that discover interesting relations between merchandise in large-scale online sales transactions. The research problems of this project come directly from the practical demand of the partner organization, Terapeak. This project follows the company’s strategic plan in performing high-quality and more efficient market analysis with big data. New technologies to facilitate online shopping and attract online buyers are indispensable for Terapeak to remain competitive in the e-commerce market.

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Superviseur du corps professoral :

Kui Wu

Étudiant :

Partenaire :

Terapeak

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Victoria

Programme :

Accelerate

Progression du nouveau moteur de positionnement de Delmiabasé sur les intentions de l’usager

L’objectif général de ce projet est le développement d’un nouveau moteur de positionnement de Delmia basé sur les intentions de l’usager. Ce nouveau moteur positionnera le mannequin de Delmia en tenant compte de la l’équilibre postural, de l’effort exercé par les membres supérieurs sur l’environnement ainsi que la probabilité et la répétabilité de la posture tout en évitant les obstacles environnant. L’équilibre postural sera contrôlé par le concept du zero-moment-point (ZMP) : un point virtuel ou l’ensemble des couples externes s’annulent sur le plan horizontal. La connaissance des forces exercés par le membre effecteur permettra le calcul des forces de réactions au sol qui à leurs tours estimeront le ZMP. Nous pensons que dans un avenir proche que cette rétroaction générera une posture stable et plausible du point de vue biomécanique. Enfin le mannequin intégrera une acuité visuelle capable de procéder à l’évitement des objets dans l’environnement proximal du mannequin.

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Superviseur du corps professoral :

Rachid Aissaoui

Étudiant :

Partenaire :

Dassault Systèmes

Discipline :

Engineering

Secteur :

Other

Université :

École de technologie supérieure

Programme :

Accelerate

An Acute Care Telemedicine/Telementoring Research Platform for Offshore and Remote Environments

The provision of emergency medical services to the oil and gas industry operating in the North Atlantic presents a number of unqiue challenges. Prolonged, weather-dependent transport times place tremendous strain on isolated medical providers in emergency situations. As a result, practitioners may be required to perform life-sustaining procedures outside of their training. Memorial University researchers have partnered with Praxes Medical Group to develop an emergency telemedicine research lab designed to identify and address issues pertaining to the provision of remote healthcare for the offshore oil industry. It is anticipated that knowledge and technologies developed at Memorial will also address healthcare challenges faced by the people living in underserviced locations throughout Newfoundland and Labrador.

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Superviseur du corps professoral :

Mohamed Shehata

Étudiant :

Partenaire :

PRAXES Medical Group;Petroleum Research Newfoundland & Labrador

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

Memorial University of Newfoundland

Programme :

Accelerate

An investigation of bioamendment strategies for bitumen degradation of MFT in the oil sands industry

Large volumes of waste in the form of tailings are produced during bitumen extraction. Conventionally, whole tailings are composed of sands, clay, water and residual bitumen. One of the major challenges facing the oil sands mining industry is the economical and efficient detoxification and reclamation of the tailings pond. Cypher Environmental, in collaboration with Dr. Ania Ulrich at the University of Alberta, will assess the performance of Cypher’s UltraZyme on degrading known contaminants of concern in MFT. Information obtained from this research will provide the technical information to the organization’s development team which will be highly beneficial in evaluating new market opportunities and to promote in-house manufacturing.

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Superviseur du corps professoral :

Ania Ulrich

Étudiant :

Partenaire :

Aquarian Industries International Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Wholesale trade

Université :

University of Alberta

Programme :

Accelerate

Asian Aquaculture Feed Formulation Database

Asia is the most important global market for aquaculture feeds and an increasingly important consumer of Canadian agricultural commodities, know-how and technologies. Given the complexity of the field, feed manufacturers require robust and highly flexible tools that could assist them in the formulation of cost-effective feeds for major aquaculture species across their life cycle. Veridis Aquatic Technologies (VAT) is a Canadian corporation established in 2009 that developing a cutting-edge online production analysis and benchmarking platform (PisciMetrixTM) aimed at improving the productivity and profitability of commercial aquaculture operations. VET will partner with the University of Guelph’s Fish Nutrition Research Laboratory (UG-FNRL) to deliver a series of databases and tools as part of a joint effort called the “Asian Aquaculture Feed Formulation Databases (AAFFD)” project. This large project requires the contribution of four graduate students and post-doctoral fellows trained at the UG-FNRL and with expertise in the nutritive value of feed ingredients, aquaculture feed formulation and nutritional modeling. This project will make use of unique expertise of the UG-FNRL and allow VAT to expand the capabilities of its platform (PisciMetrixTM). TO BE CONT’D

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Superviseur du corps professoral :

Dominique Bureau

Étudiant :

Partenaire :

Veridis Aquatic Technologies Inc

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Guelph

Programme :

Accelerate

Risk Analysis and Efficiency Measurement of Protocols for Missing Children in Saskatchewan

We aim to use Saskatchewan’s data and current protocols to explore and identify the risk factors for the challenge of investigating cases of missing children. We will be using a variety of analytical methods in order to come up with a set of valuable recommendations for improving the process of investigating the cases of missing children.

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Superviseur du corps professoral :

Mahshid Atapour

Étudiant :

Partenaire :

IRG-Informatics Inc;Ministry of Justice Corrections and Policing

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

IMMERSe

The proposed project will transform a trading card game into a locative mobile gaming platform with the goal of creating an interactive narrative experience. The game itself will be creating an on-going history of gameplay and publishing it on the Internet. In essence, players of the game are dynamically being written into the mythology of the game thus affecting the narrative of the game while playing. The project will produce an interactive storyline where users create a “grimoire” with a full history of the characters within the game world. The research will focus on how users interact with the game mechanics and on the use of artificial intelligence and machine learning mechanisms. The partner organization will benefit from the project via the interns’ experience with Natural Language Processing and Narratology. The application of this type of research is directly attached to the creation of a generative story-telling machine

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Superviseur du corps professoral :

Neil Randall;Chrysanne DiMarco

Étudiant :

Partenaire :

Stitch Media

Discipline :

Computer science

Secteur :

Arts, entertainment and recreation; Information and cultural industries; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

The Hitchin—Kobayashi Correspondence

The goal of this project is to study the Hitchin–Kobayashi correspondence which relates solutions of certain differential equations to certain geometric objects with algebraic structure. The differential equations of interest are related to those studied in particle physics. By viewing them from an algebraic perspective, we can often find properties of the space of solutions which would otherwise have been difficult to see. This correspondence has been proved for the compact and finite volume cases, but while some specific cases outside these have been worked out, the correspondence in the infinite volume case is still relatively not well-understood, and this is an active area of research.

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Superviseur du corps professoral :

Benoit Charbonneau

Étudiant :

Partenaire :

Universidade Estadual de Campinas

Discipline :

Mathematics

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

Application of Simulation Techniques in Excavation Development Design and Planning for Underground Block Caving Methods

The Block Caving method is emerging as a significant future underground mining method (e.g. New Afton Mine, BC; Oyu Tolgoi Mine, Mongolia), becoming more popular in massive underground ore bodies. The design and planning for developing such complex underground excavation systems is challenging both technically and managerially. This research study aims to apply emerging simulation concepts and techniques within the design and planning process for such large scale underground systems. The objectives are to identify the key systems design and planning parameters and their influence over the optimization of such underground project schedules. Significant potential benefits relate to advancing the simulation approach so as to minimize development time and cost, and to improving mining process reliability and safety.

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Superviseur du corps professoral :

Malcolm Scoble

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Université :

The University of British Columbia

Programme :

Accelerate

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