Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Generation of bovine iBlastoid using high quality bovine naïve pluripotent stem cells

Cloning technique using somatic cell nuclear transfer (SCNT) is valuable in agricultural field since it used to generate elite animals. However, there are various limitations in cloning animals such as occurrence of fetal disease and low success rate. In this project, we aim to optimize a safer and more stable technique that can replace cloning. We will not use embryo components so that completely exclude limitation of cloning. This technique has not been demonstrated in livestock. In conclusion, this will lead to the production of large numbers of elite cattle in a short period of time in a safe manner. This will also contribute to development of industrial technology.

Voir la description complète du projet
Superviseur du corps professoral :

Lawrence Smith

Étudiant :

Partenaire :

L'Alliance Boviteq Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Avifaunal species responses to a restored migratory stopover habitat in an urban park

Bird populations in North America have been in decline since mid-1900s due to a multitude of stressors including pesticide use, habitat loss, predation by cats, as well as window and vehicle collisions. Tommy Thompson Park is a constructed wilderness park in Toronto (Ontario) that is along the migratory path for many species that are exhibiting the largest declines. We will utilize bird banding data collected since 2003 during both spring and fall migration from the TTP Bird Research Station to determine how and when bird communities change in composition and diversity in response to changes in land use, weather, and restoration activities. This study will help to identify how effective the habitat restoration practices have been on migratory bird communities to inform ongoing and future works in TTP and other waterfront parks.

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Josée Fortin

Étudiant :

Partenaire :

Toronto and Region Conservation Authority

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation; Professional, scientific and technical services; Public administration

Université :

University of Toronto

Programme :

Accelerate

Optimization of Silver Nanowires Synthesis and Purification Processes for Commercially Viable Pilot Scale Production

Silver nanowires are 2-dimensional nanostructures of silver with diameter of less than 100 nm and length to diameter ratio of over 1000 times. They are excellent for inducing electrical conductivity into non-conductive material when dispersed at small quantities in those media. This is due to the intrinsic conductivity of silver (highest among elements) and elongated shape of the nanowires. As the result they have become key component in applications including flexible transparent electrodes for displays or solar panels, sensors, thermal coatings, catalysts, and conductive inks.
Here we are proposing a collaborative project, between the university of Lethbridge and Flexahopper Plastics, on pilot-scale production of silver nanowires. The research involves systematic study of the major factors influencing the synthesis and purification of silver nanowires. The production capacity will be increased in multiple steps. The results will be used to implement an optimized, economically viable process for high-yield, controlled production of SNW.

Voir la description complète du projet
Superviseur du corps professoral :

Paul Hazendonk

Étudiant :

Partenaire :

Flexahopper Plastics Ltd

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Lethbridge

Programme :

Accelerate

Development of a user interface to setup 3D printing parameters

Products have to meet high customer satisfaction standards, low production costs in order to compete in the global market. Comparing with conventional production techniques, the additive manufacturing (AM) technology can construct complicated forms with more efficiency. In order to produce high quality 3D printed parts, the appropriate selection of printing parameters is crucial. Advanced parameter settings can improve the printing quality and reduce the printing defect. In order to improve the product quality, a case-based reasoning system will be developed based on the case description, index system and similarity measure formula. The system will be evaluated in case studies based on customer requirements.

Voir la description complète du projet
Superviseur du corps professoral :

Qingjin Peng

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

A Numerical Model of Drying Processes in Convection Grain Dryers Based on Coupled DEM-CFD Method

To maintain grain quality, grain drying is essential to turn the newly harvested grain from a high moisture content, high temperature and easily spoiled state to a safe condition for transportation or storage. Convection grain dryers are the most widely-used grain dryers around the world, however, the design of dryers nowadays is still mainly based on experience. This study presented a numerical model to simulate the drying processes in a mixed-flow grain dryer based on coupled DEM-CFD method. The proposed method allows the inclusion of particulate properties of grain kernels, while existing conventional CFD model assumes the moving grain as a continuum flow. It is expected that the proposed model will have better prediction accuracy than existing models, which is important for the control of grain drying processes. The proposed model could also be applied to different designs of convection grain dryer for the purpose of performance assessment and optimization.

Voir la description complète du projet
Superviseur du corps professoral :

Qiang Zhang

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

How social mobility and income inequality affect health in Canada

People who live in countries with low inequality (where the gap between the rich and the poor is small) tend to be healthier on average. Countries with low inequality (like Finland and Denmark) also tend to have a lot of social mobility across generations. In other words, people’s chances of success don’t depend on how well off their parents were. But this isn’t always the case. For example, Canada has high social mobility, but also high inequality. We don’t know much about how these two factors work together to affect health: Does Canada’s high social mobility compensate for the negative impact of high inequality? To help understand this, I will compare parts of Canada, and look at whether inequality seems to matter less when there is a lot of social mobility. To do this, I will first need to calculate the amount of social mobility in different metropolitan areas. To make studies like this easier in the future, I will make the social mobility data available to other researchers.

Voir la description complète du projet
Superviseur du corps professoral :

Jim Dunn

Étudiant :

Partenaire :

University of Glasgow

Discipline :

Sociology

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Too far for comfort: Identifying unmet needs and proximity-based resource gaps for social and community services in Ontario

Having unmet physical and social needs, such as being food insecure or living in unstable housing, is associated with a number of negative outcomes, including poor health. One common approach to addressing unmet needs includes sharing referrals to relevant social and community resources, which is a service that the 211 Ontario helpline provides. How close or far a referred resource is can determine whether an individual with an unmet need actually accesses this resource. The analytic goal of this study is to determine which health and social need types have the largest distances to their corresponding referred resources. Findings will be used to improve the accessibility of referred resources at 211 Ontario.

Voir la description complète du projet
Superviseur du corps professoral :

Laura C. Rosella

Étudiant :

Partenaire :

Ontario 211 Services Corporation

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Development of Remote Monitoring System

TROES Corp. is a Canadian-based, advanced battery energy storage company, specializing in smart distributed energy storage solutions. Based on the LiFePO4 technology, TROES develops, designs, manufactures and delivers high-performance, rigorously tested, innovative, AI-based IoT and cloud-based energy storage systems. The systems are integrated with TROES’ proprietary battery modules, Battery Management Systems (BMS), Enclosures and Power Conversion Systems (PCS). TROES would like to improve the current remote monitoring system with which TROES has the control to oversee the batteries. TROES has contacted Lambton College to develop a cloud-based monitoring software by adding new features, implementing bug fixes, developing/managing web platforms, and integrating energy simulation.

Voir la description complète du projet
Superviseur du corps professoral :

Priteshkumar Patel

Étudiant :

Partenaire :

TROES

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Lambton College of Applied Arts and Technology

Programme :

Business Strategy Internship

FLOAT VR

Brainswitch Labs is a Vancouver-based startup in the VR Health space. We are developing an application that helps mental health therapists to get their patients into a mental state receptive to therapy. Our goal for this time period is to release a public version of our product to the Meta App lab marketplace.

Voir la description complète du projet
Superviseur du corps professoral :

David Fracchia

Étudiant :

Partenaire :

Brainswitch Labs

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Business Strategy Internship

Indoor Localization

My project is related to machine learning and robotics. A brief description of my project is the following: a robot comes into a room and takes snapshots of this room. Then the algorithm will make different digital representations of the room and store them in the database. After that, the robot can make photos of the room once again and compare the representation of the room to the representations stored in the database. Based on the most similar representations, a robot will classify the type of room it is in. A practical application of this research may be smart vacuum cleaners, that can switch to different cleaning modes based on the type of room it is in or check whether a robot has already cleaned a specific room.
For this research project, I apply convolutional neural networks, which are mostly used in Computer Vision tasks, specifically, NetVLAD and Deep Graph Convolutional Neural Network.

Voir la description complète du projet
Superviseur du corps professoral :

Igor Gilitschenski

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv

Discipline :

Computer science

Secteur :

Artificial Intelligence; Technology; Other

Université :

University of Toronto

Programme :

Globalink Research Award

Advanced Quantitative Behavioral Models for Asset-Liability, Interest Rate Risk, and Liquidity Management in Deposit-Taking Financial Institutions

Cashflow uncertainty due to customer behaviors poses special challenges to a bank’s ability to accurately forecast its future cashflows, and therefore makes its funding and risk management difficult. In the proposed research, we plan to use cutting-edge machine learning techniques to study the behaviors of bank depositors and borrowers in Canada using an extensive proprietary data sample of the Partner Organization (i.e., EQ Bank). We will focus on two specific types of bank customer behaviors – non-maturing deposit withdrawal behavior and term-loan repayment behavior – that are critical in defining a bank’s liquidity risk. The research findings will contribute to our understanding of the behavior of Canadian depositors and borrowers, which is relatively less studied in the literature. A better understanding of their behaviors will enable the Partner Organization and other banks to enhance their financial products to better suit the needs of their Canadian customers.

Voir la description complète du projet
Superviseur du corps professoral :

Peter Miu

Étudiant :

Partenaire :

Equitable Bank

Discipline :

Business

Secteur :

Finance and Insurance

Université :

McMaster University

Programme :

Accelerate

Cognitive Assessments in Virtual Reality

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, we will explore the use of virtual reality (VR) for cognitive assessments. Having complete control over a virtual environment will allow us to isolate the subject from distractions and deliver engaging stimuli that yield responses with greater dynamic range. Modern VR headsets also include physiological sensors that capture measures correlated with cognitive load, which will bear greater insight into how the subject feels as they complete a task. During the scope of this project, we intend on translating an existing tablet-based assessment to VR, deploying it to both healthy and clinically relevant cohorts, and then analyzing the sensor data to uncover potential biomarkers of cognition.

Voir la description complète du projet
Superviseur du corps professoral :

Alexander Mariakakis

Étudiant :

Partenaire :

Lviv Polytechnic National University

Discipline :

Computer science

Secteur :

Information and Communications Technology; Health and Related Sciences & Technology; Technology

Université :

University of Toronto

Programme :

Globalink Research Award