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

Optimization of Oat Beverage Process Conditions for Nutrients Recovery

The demand for plant-based beverages by consumers continue to increase due to their sustainability and health benefits. Oat is one of the most promising cereals and seeds to prepare functional plant-based beverage since oat has high amount of dietary fibres and good quality proteins. Earth’s Own is one of the biggest oat beverage producers in Canada and even North America, but more research efforts are needed to increase the nutrient recovery and improve the oat beverage sensory profiles for more competitive products at home and abroad. To the end, the effects of process conditions (such as grain-to-water ratio, mechanical forces, and enzyme levels) on the nutrient recovery and sensory profiles will be understood. This fundamental knowledge will provide valuable guidance to the oat beverage production. The findings of this research could be used to create industrial guidelines that will be used in other companies in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Lingyun Chen

Étudiant :

Partenaire :

Earth's Own Foods

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Life Sciences (not health); Clean Technology

Université :

University of Alberta

Programme :

Accelerate

A Visual Analytics System for the Analysis of City Indicators based on Multivariate Indices

With the Regional Council’s adoption of HRM’s Social Policy Framework (2020) and the Public Safety Strategy (2017), Halifax Regional Municipality (HRM) committed to advancing community safety and wellbeing as vital outcomes. To be effective, these outcomes must be measurable, and bring transparency to the impacts of municipal programs, services, and policies. Experts from various HRM Business Units convened a working group with leading researchers in social policy and data visualization and analytics at Dalhousie University to explore solutions to support this process. The resulting tool was a prototype to develop composite indices that combine sets of city indicators to represent abstract concepts, such as safety or wellbeing. The present proposal aims to advance this prototype offering more analytical power to support evaluating the impact of concrete variables (some influenced by the municipality actions) on abstract concepts (e.g., wellbeing) while adding new stakeholders (and their data sets) into the process.

Voir la description complète du projet
Superviseur du corps professoral :

Fernando Paulovich;Evangelos Milios

Étudiant :

Partenaire :

Halifax Regional Municipality

Discipline :

Computer science

Secteur :

Public administration

Université :

Dalhousie University

Programme :

Accelerate

Design of real-time a localization algorithm for high-flow environments on embedded processor

The deployment of tidal turbine equipment in the Bay of Fundy can potentially impact marine life in the environment. There is a large population of harbour porpoises that can be affected by this equipment, and it is important to detect their presence and locate them. In this work, a tool to visualize harbour porpoises in real-time will be developed so that it can be readily available to visitors at the Fundy Ocean Research Center for Energy Visitor Center in Parsborro. For this purpose, a signal processing tool will be developed on a high-speed processor.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Francois Bousquet

Étudiant :

Partenaire :

Fundy Ocean Research Center for Energy

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Population-based recurrence probability map to define the microscopic clinical target volume for salvage radiotherapy after prostatectomy (PORTRAy)

Radiotherapy is an effective method to prevent recurrence of disease after the prostate is surgically removed as part of the cancer treatment process. However, since microscopic disease is not visible by conventional imaging techniques, treatment sites are typically determined based on consensus guidelines. PSMA-PET is a novel imaging modality which is able to detect recurrences with higher sensitivity than existing techniques. We propose to build a population-based probability risk map by registering a large number of positive PSMA-PET/CT images onto a reference patient. We will also apply machine learning methods to leverage information on individual risk factor profiles and population data, which will allow us to adjust and tailor the risk map to each individual patient. In this way, radiation treatments may be better targeted to the regions at highest risk of bearing microscopic disease.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Francois Carrier;Cynthia Menard

Étudiant :

Partenaire :

Centre de recherche du CHUM

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Accelerate

Public Transit Feasibility Study for the Town of Happy Valley-Goose Bay

The Town of Happy Valley – Goose Bay is located in the central part of Labrador on the coast of Lake Melville and Churchill River and as such it plays a significant role in the area as a place of employment, education sectors, healthcare facilities, shopping, municipal services and healthcare facilities. With a population of 8,109 in 2016, it observed a huge surge in population between 1971 and 1991 in particular. The community is growing day by day but there is no existence of public transit here. The community people rely heavily on their own motor vehicle but those who does not have any access to a car, struggle a lot. The aim of this research project is to find out a feasible public transit route for the area. Proposed public transit infrastructure can bring a lot of benefits to individuals and local communities such as, it reduces air pollution, traffic congestion and increases mobility or ridership, travel safety as well.

Voir la description complète du projet
Superviseur du corps professoral :

Muhammad Ahsanul Habib

Étudiant :

Partenaire :

Town of Happy Valley-Goose Bay

Discipline :

Engineering

Secteur :

Public administration

Université :

Dalhousie University

Programme :

Accelerate

Le rôle des municipalités dans le développement et l’épanouissement des minorités de langue officielle au Canada

Cette étude vise à mieux comprendre le rôle des municipalités dans le développement et l’épanouissement des minorités francophones du pays. Elle permettra de mieux définir ce qu’elles font et ce qu’elles peuvent faire. L’organisme partenaire profitera des résultats de recherche afin de poursuivre son travail visant à favoriser la municipalisation des localités qui n’ont pas de gouvernement local en montrant à l’aide de données probantes le rôle que peut jouer un gouvernement local dans le développement des communautés francophones en situation minoritaire au niveau local. Plus largement cette recherche permettra d’analyser quelles sont les meilleures pratiques et dans quelles conditions elles sont mises en place, sachant que l’intervention des municipalités dans le domaine des langues officielles permet de développer des avantages concurrentiels et la création d’emplois.

Voir la description complète du projet
Superviseur du corps professoral :

Michelle Landry

Étudiant :

Partenaire :

Association francophone des municipalités du Nouveau-Brunswick

Discipline :

Sociology

Secteur :

Public administration

Université :

Université de Moncton

Programme :

Accelerate

Relations avec la communauté et prévention-contrôle des infections : Lignes directrices pour favoriser les rapports sociaux des personnes vulnérables en milieux fermés pendant une crise sanitaire

La mise en œuvre des mesures en réponse à la COVID-19 dans les milieux où sont confinées les personnes avec un trouble mental ou des déficits cognitifs, tels les milieux psychiatriques, correctionnels ou les CHSLD, pose un défi de taille. Il importe d’informer les praticiens et les décideurs des conséquences de ces mesures sur ces populations vulnérables déjà confinées afin de favoriser l’application des meilleures pratiques, qui tiennent compte de la santé et du bien-être des utilisateurs de services. Ce projet vise donc à documenter les impacts des changements de pratiques en réponse à la COVID-19 sur les usagers, et sur l’organisation de ces services ainsi que de mettre sur pied et diffuser un guide de pratiques à adopter en temps de crise sanitaire dans ces milieux fermés.

Voir la description complète du projet
Superviseur du corps professoral :

Audrey-Anne Dumais Michaud

Étudiant :

Partenaire :

Université de Montréal (Institut national de psychiatrie légale Philippe-Pinel)

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Linearization of High Peak-to-Average Power Amplifiers for Digital Broadcast Radio Applications

Broadcast radio is changing from an analog medium based on frequency modulation (FM) to a full digital broadcast based on orthogonal frequency division multiplexing (OFDM). The high peak-to-average power ratio of the OFDM waveform requires different power amplifier topologies and a high degree of linearity. The research in this project analyzes current amplifier performance for digital radio broadcasting in the FM band, investigates new linearization techniques and explores new amplifier topologies. Key research aspects are improving linearity to meet spectral emissions requirements and increasing power added efficiency (PAE) for amplifiers broadcasting a hybrid waveform composed of both an FM and OFDM component that is increasing in injected power with the goal of an all digital OFDM waveform.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Francois Bousquet

Étudiant :

Partenaire :

Nautel

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

RISC-V Vector Processor for High-throughput Multidimensional Sensor Data Processing & Machine Learning Acceleration at the Edge

The computing solutions of tomorrow must be more energy efficient than those of today, which requires combined efforts to be conducted on multiple research areas: from new transistor technologies to innovative software algorithms by way of original processor architectures. This project enters into this last research area by revisiting the vector processing model, which provides a highly efficient way of exploiting data parallelism in scientific computations, sensor processing, and machine learning algorithms. Indeed, the efficiency of vector processors comes from their ability to perform parallel-data computations on very large vectors, thereby amortizing the overhead of fetching and decoding instructions. In this project, we aim at developing a state-of-the-art energy-efficient open-source vector processor that follows the RISC-V “V” specifications. To this end, we will explore original architectures – low-precision instructions and autonomous memory subsystems – that will lead to better performances in a reduced power envelope.

Voir la description complète du projet
Superviseur du corps professoral :

Yvon Savaria;Jean-Pierre David

Étudiant :

Partenaire :

OpenHW Group;CMC Microsystems;ETH Zurich

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Human-Based Study to Characterize the Biomechanical, Physiological and Comfort Impact of Alternative Torso-Borne Loads and Load Distributions

Torso-borne protective clothing and load carrying equipment (ie. bulletproof vests) is fundamental to the safety of Canadian Armed Forces personnel. To make informed decisions on purchasing and developing new equipment, a suite of mannequin-based tools was developed by Defense Research and Development Canada. They are developing a female model to reflect the Canadian Armed Forces’ goal to increase diversity within its ranks, particularly with the representation of women. HumanSystems® Incorporated has been contracted to complete human testing to help validate the new tools. The intern will collect kinematic data from female participants conducting a series of tasks commonly performed in the Canadian Army. These tasks will be completed while wearing a vest, manipulated to simulate different loads and arrangements of torso-borne equipment worn by soldiers. The data will be used to determine the forces and moments on the spine as a crucial step to validating the new system.

Voir la description complète du projet
Superviseur du corps professoral :

Michele Oliver

Étudiant :

Partenaire :

Human Systems inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Towards development of a biodegradable polymer for use in single-use surgical gloves

The proposed university-industry research aims to develop a biodegradable polymer with a target application in personal protective equipment (PPE), aligned with the ongoing global research efforts towards Next Generation Plastics (NGPs). The new NGP is expected to fully degrade within 2-5 years when disposed in soil and exposed to a combination of water, UV and thermal-based biodegradation mechanisms. If proven feasible through the proposed lab-scale tests, followed by upscaling by the industry partner, the new product will address Canada’s recommended zero-plastic waste strategy by avoiding the use of non-recyclable plastic products and adapting circular economy approaches in engineering productions.

Voir la description complète du projet
Superviseur du corps professoral :

Abbas Sadeghzadeh Milani;Cigdem Eskicioglu

Étudiant :

Partenaire :

FEED Engineering

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Simultaneous localization and mapping using a magnetic quantum sensor

Vehicles that are able to autonomously move in the air, on the ground, or underwater must fuse various forms of sensor data together in order to ascertain the vehicles location relative to objects or a map. Typical sensor data includes inertial measurement unit data and some sort of positioning data, such as GPS data. However, positioning data is not always available, especially indoors and underground. SBQuantum (SBQ) has developed a novel quantum magnetometer that can measure the Earth’s magnetic field gradient. This project proposes sensing and mapping the magnetic field gradient using SBQ’s sensor in order to deduce the position of a vehicle or hand-held device. In particular, the focus of this project is the research, development, testing, and deployment of a navigation solution using magnetometry data provided by SBQ’s quantum magnetometer, as well as assessing just how reliable and accurate a magnetometry-based navigation solution is. The proposed navigation solution can potentially be used as an inexpensive means to position vehicles or hand-held devices such as smartphones in, essentially, any environment, when GPS is not available.

Voir la description complète du projet
Superviseur du corps professoral :

James Richard Forbes

Étudiant :

Partenaire :

SB Quantum

Discipline :

Engineering

Secteur :

Technology; Environmental Science and Technology; Mining; Quantum Science

Université :

McGill University

Programme :

Accelerate

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