Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

Selective recovery of Ni-Co-Mn in sulfate media, and graphite from spent Lithium Ion Batteries

In recent years the lithium consumption for batteries has remarkably increased because of the extensive applications of rechargeable lithium batteries in portable electronic devices, electric tools, electric vehicles, and grid storage. The surging demand for these applications asks for innovative solutions for recycling of the spent lithium ion batteries. This proposed project is an attempt to develop solutions for two of the challenges in the lithium ion battery recycling process flowsheet of a Canadian company, Li-Cycle, to produce high value products for market from the ingredients of spent batteries.

Voir la description complète du projet
Superviseur du corps professoral :

Sadan Kelebek

Étudiant :

Partenaire :

Li-Cycle

Discipline :

Engineering

Secteur :

Mining

Université :

Queen's University

Programme :

Accelerate

Élaboration de recommandations stratégiques de communication pour la fidélisation des donateurs de la Fondation cancer du sein du Québec

Le présent projet de recherche a pour objectif d’élaborer des recommandations communicationnelles pour la Fondation du cancer du Québec en vue de lui offrir des solutions à ses problèmes de fidélisation des donateurs et de différenciation de sa concurrence directe. En effet, 75 % des donateurs ne donnent qu’une fois et les Québécois ont tendance à confondre la Fondation avec d’autres organismes similaires. Plusieurs phases méthodologiques permettront l’élaboration de ces recommandations. D’abord, une recherche documentaire sera entreprise afin de faire ressortir les pratiques d’excellence des relations publiques et de la philanthropie. Viendra ensuite l’observation participante au sein de la Fondation afin de comprendre les discours internes et externes, et de réaliser une analyse de ceux-ci. Des entrevues semi-dirigées seront menées auprès d’acteurs clés internes et externes à l’organisme, afin de confirmer ou d’infirmer les premières pistes de recommandations et d’approfondir la réflexion. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Ève Carignan

Étudiant :

Partenaire :

Quebec Breast Cancer Foundation

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

Université de Sherbrooke

Programme :

Accelerate

Efficacy of Radiant Energy Veils in Multi-glazing Fenestration

Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have enormous potential to realize large energy savings and contribute toward the vision of net/near-zero energy buildings. The objective of the present project is to advance the development of alternative smart technologies thereby overcoming the compromise between performance and cost. This will be achieved through the integration of radiant energy coatings on dynamic shades and blinds disposed within a dual pane/glass window system so as to achieve high thermal performance and daylighting window systems. The proposed project will undertake a detailed study of alternative smart window technologies wherein tunable partitioning radiant energy veils are integrated. The focus of the study will be energy savings under a manifold of design conditions and operating scenarios. The study will be based on benchmarked computational models developed with the flexibility to account for a variety of design features, geographic locations (climatic zones), and operating modes.

Voir la description complète du projet
Superviseur du corps professoral :

Stefan Zukotynski

Étudiant :

Partenaire :

3E Nano Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Intelligent systems for social community identification and applications

Social Listening is the act of accessing the many available social networks that exist throughout the world wide web. The partner organization of this research has identified algorithms using existing web technology to evaluate and categorize an interpretive community through the connections of that community?s participants and the context of those connections, including both verbal and visual clues. It will build an intelligent information system and culture equity tool set for social media monitors, marketers and ad agencies, brands and various governments and public institutions. Algorithms for culture community identification by commonalities and anti-commonalities are the core of developing Culture Equity software tools. The objective of this proposed research is to investigate such algorithms with high quality in terms of the algorithms effectiveness and efficiency To achieve the objective, this research project investigate on three different approaches, that is, keyword based classification, machine learning for classification, and classification with semantics.

Voir la description complète du projet
Superviseur du corps professoral :

Weichang Du

Étudiant :

Partenaire :

Mindmeld Multimedia Inc

Discipline :

Computer science

Secteur :

Université :

University of New Brunswick

Programme :

Accelerate

Housing First as Intervention and its Economic Impact

A review of Housing First practices for housing chronically homeless residents, and their cost-saving potential for municipalities and housing organizations. Housing First treats supplying permanent housing as a priority for recovery for chronically homeless adults suffering from mental health and substance abuse issues. This has been shown to be a more effective housing and treatment strategy that traditional programs that target the same population. This report aims to establish the potential cost-savings of these programs to municipalities to encourage funding for the Bloom Group and other organizations that develop and manage Housing First programs.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Campbell

Étudiant :

Partenaire :

The Bloom Group

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Lames de patins de haute performance fabriquées par impression 3D

Le présent projet est pour la conception d’une nouvelle lame de patin de hockey qui sera imprimée 3D pour les patins Bauer. Dans ce projet, un nouvel alliage métallique sera développé pour avoir un comportement comme une lame de patin. Ce projet a un avantage de faire avancer les recherches pour les nouveaux matériaux imprimables 3D. Par le fait même, ce projet permettra à Bauer d’offrir un produit exotique issu de la technologie de pointe au grand public à un prix accessible. Cette lame va aussi permettre à Bauer de consolider son titre de leader mondial dans le domaine du hockey sur glace.

Voir la description complète du projet
Superviseur du corps professoral :

Vladimir Brailovski

Étudiant :

Partenaire :

Bauer Hockey Corp

Discipline :

Engineering

Secteur :

Manufacturing; Retail trade

Université :

École de technologie supérieure

Programme :

Accelerate

CO2-EOR in Devonian Reefs of Alberta – Reservoir Characterization and Screening

Devonian reservoirs have contributed significantly to the development of the petroleum industry in Alberta. This is mainly due to their favourable characteristics of high permeability enhanced by dolomitization in these often reefal structures. Although many have had good recoveries, much oil remains to be recovered. Many of the same characteristics that led to good production performance during the past decades are expected to contribute to good production potential if CO2-based enhanced-oil recovery (CO2-EOR) methods are employed.
In this research, we will characterize a subset of these reservoirs from geological and engineering points of view and develop a methodology for assessing and ranking of their suitability for CO2 -EOR. This will strengthen position of the partner organization in this area. Furthermore, the partner organization is developing a course for reservoir characterization of carbonate reservoirs, particularly for the application of CO2-EOR. The reservoirs examined in this research will serve as case studies in this course.

Voir la description complète du projet
Superviseur du corps professoral :

Hassan Hassanzadeh

Étudiant :

Partenaire :

MPD Reservoir Engineers Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

University of Calgary

Programme :

Accelerate

AI-Based Automated Methodologies for Supply Chains: High Precision Tabular Detection and Semantic Modeling of Electronic Components from Datasheets

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the research problem is three-fold: The first phase involves in improving the success of tabular detection as there is significant room for improvement in the recognition of e-Component tables under the billion+ components data. Next, semantic search will be applied on tabular information to extract specific data for electronic components in the second phase. In the first two phases, classification and self-organizing maps will be used as the AI techniques to meet the desired level of success. The design of an end-to-end holistic system will be accomplished in the third phase of the proposed project.

Voir la description complète du projet
Superviseur du corps professoral :

Burak Kantarci

Étudiant :

Partenaire :

Lytica

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

Simultaneous Analysis of Endocannabinoids with Mass Spectrometry Methods in Human Serum using Point-of-care Collection Devices

Endocannabinoids are compounds produced by the human body that bind to and activate cannabinoid receptors. There are two major endocannabinoids: anandamide (AEA) and 2-arachidonoylglycerol (2-AG). Both play a role in regulating the firing of brain cells in the nervous system and attenuating immune system responses. As such, the endocannabinoid system is implicated in several clinically relevant processes including appetite regulation, pain management, fertility, and beyond. Routine measurements of AEA and 2-AG can enable further investigation by healthcare professionals into the impact supplementing the endocannabinoid system can have for patients. Method development for AEA and 2-AG will be explored using serum samples analyzed with liquid chromatography-mass spectrometry (LC-MS). A dried serum spot collection card will be evaluated for use as a point-of-care tool for healthcare professionals.

Voir la description complète du projet
Superviseur du corps professoral :

Philip Britz-McKibbin

Étudiant :

Partenaire :

Seroclinix Corporation

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

McMaster University

Programme :

Accelerate

Data Analytics and Natural Language Processing for Courses Curriculum Design

Nowadays, we have gaps between job market demands and competencies that students acquire during their university studies. Course curricula in many cases lack practical content that is relevant for employers. With advances in data analytics algorithms efficiency and with automatic data collection from online resources such as online job postings and surveys, we plan to utilize modelling, natural language processing and machine learning algorithms to extract useful information about relevant skills and qualifications from data, to find patterns and develop insights. We would use these data-driven research results to identify management competencies and technical skills for students to be included in courses curriculum. The aim of this project is to help universities to create or adapt master programs in data analytics that increase likelihood for students to find jobs after their graduation as graduating students would possess all necessary skills that are needed in the job market.

Voir la description complète du projet
Superviseur du corps professoral :

Roy H Kwon;Oleksandr Romanko

Étudiant :

Partenaire :

Kyiv School of Economics

Discipline :

Business

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Quantifying the spatial distribution of soil nutrient movement at the field scale

Our proposed research is to measure soil erosion and runoff in the field and use it to calibrate water runoff models. The approach is twofold: a) Use of field data for to determine runoff rates and nutrient loading and b) use high resolution non-destructive methods to monitor water runoff after a precipitation event through unmanned aerial vehicles (UAV). In this way, data will help to adjust current runoff simulation models, and predict real-life scenarios. These models will accurately portray the effect of conventional agricultural practices in soil architecture and runoff water quality.

Voir la description complète du projet
Superviseur du corps professoral :

Derek Robinson

Étudiant :

Partenaire :

Ontario Crop and Soil Improvement Association

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Waterloo

Programme :

Accelerate

Investigating the Role of Heterodimeric Nodal/Gdf3 in the Maintenance of hESC Pluripotency

Pluripotency is the property by which immature cells can give rise to all specialized cell types within an adult organism. Human embryonic stem cells, or hESCs, are pluripotent cells which have remarkable potential in regenerative medicine. Clinical translation of stem cell therapy requires better culture conditions which properly maintain hESCs. One important regulator of pluripotency is Nodal signalling, a highly conserved pathway required for early embryonic development. However, limitations of applying Nodal signalling to hESC culture suggests that our understanding of the pathway is incomplete. Recent work in model organisms has shown that Gdf3, a co-factor protein, is required alongside Nodal to exert its effects. Hence, we are investigating how concurrent use of both Nodal and Gdf3 can improve the maintenance of hESC pluripotency in culture. Our research will yield significant implications regarding the molecular mechanisms of pluripotency and stem cell signalling.

Voir la description complète du projet
Superviseur du corps professoral :

Norman Rosenblum

Étudiant :

Partenaire :

The Jackson Laboratory

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Précédent
1...2,1842,1852,1862,1872,1882,1892,190...2,513
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire