The overall objective of the work is to understand how loading from the different muscle groups affects the strain that develops in the Superficial Digital Flexor Tendon (SDTF) of the Horse. We will be able to learn how the strength and power of each muscle group must be adapted to achieve different strain distributions in […]

From the survey of literature (Eames et al. (1995), Chunnanond & Aphornratana (2004b), Chunnanond & Aphornratana (2004a) and others), the performance of a jet refrigeration system depends greatly on the ejector configuration (characteristics). Many researchers have shown the need to improve performance in order to make ejector-based cooling economically more attractive. It is known that […]

Phase I: Development of Intellectual Property to Facilitate Partnership Agreements with Business and Non-profit Organization Before partnership agreements with the business sector (companies) and not-for-profit organizations can be undertaken, intellectual property rights need to be established. Thus, we will first develop and validate GaitreminderTM as a method for evaluating gait abnormalities in normal ageing and […]

The broad objectives of this project are: I. To reduce the risk of emerging infectious diseases related to poultry; and II. To improve Alberta poultry industry productivity and profitability To reach these broad objectives we will address 3 specific objectives: 1) Determine what the knowledge needs of the poultry industry are and how knowledge is […]

Criterium Group will support the Energy Client in transforming operations and determining the most sustainable and economic decarbonization technologies to utilize at The Asset. The Asset site has important characteristics that facilitate bridging to the new technological solutions being pursued as well as beneficial infrastructure, integration, and geological attributes that could improve the feasibility and […]

For so many years, industries that are heavily reliant on geospatial data have been working with paper maps unfolded on tables. Some of these companies are still using paper maps to analyze huge amounts of data despite the current availability of geographic information system (GSI) for storing and managing geospatial data. Data management tasks using […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

The transportation sector is responsible for 25% of Canada’s greenhouse gas emissions and efforts to address climate change by electrifying transportation will reduce the demand for gasoline and diesel fuels. At some point in the decline internal combustion engine (ICE) vehicle owners will face the same challenges that have plagued electric and hydrogen vehicle owners […]

We introduce Swarm Fabrication, a novel concept of creating on-demand, scalable, and reconfigurable fabrication machines made of swarm robots. We present ways to construct an element of fabrication machines, such as motors, elevator, table, feeder, and extruder, by leveraging toio robots and 3D printed attachments. By combining these elements, we demonstrate constructing an X-Y-Z plotter […]

Retrofitting the existing building stock is a key field of action for architecture to move towards a sustainable future. This research proposal focuses on developing data collection digital workflows and communication protocols between different design and machine software for timber fabrication in an onsite / near-site condition enabled by a Factory in a Box (FIAB). […]

This 3-year international partnership project between Canada and China will facilitate knowledge exchange and advancement through active engagement of academic and non-academic partners in both countries. The overarching goal is to develop user-focused initiatives to promote and intervene on mental wellness among children and youth (age 12 – 17) in both Canada and China. One […]

Language tests are important in measuring language ability for the success of international students and newcomers to Canada, but the current system of language testing has considerable inefficiencies and inequities. Through applying artificial intelligence and machine learning to a research-informed approach to language testing, our innovation utilizes the predictive features of machine learning to help […]