The current land registry system in Ontario lacks efficiency and transparency; and is susceptible to information quality problems due to lack of a uniform and integrated system to record and share real-time data about land property transactions across stakeholder organizations. To overcome such issues, many countries are turning to blockchain technology to enable land registration […]

This study focus on the understanding of radiation-induced embrittlement in CANDU reactor spacer material, Inconel X-750. The helium pre-implantation following by proton irradiation will be employed as a surrogate for neutron irradiation to simulate the radiation damage on the microstructure of Inconel X-750. Micro-tensile test on irradiation X-750 material will be carried out to evaluate […]

Corporate employees face a range of ethical pressures and challenges; in some cases, employees fail at these challenges, and the result is often bad for employees, for employers, and for the Canadian public. Ethics education in post-secondary settings and corporate ethics training may help, but needs to be designed in a way that takes account […]

The partner is experiencing difficulties in finding an efficient solution for planning and scheduling the production in meal processing plants. The challenges involve rapid degradation of fresh food ingredients, a wide variety of products and demand which cannot be predicted in advance. The partner spends a lot of time on tactical management of business activities. […]

Three of Saskatchewan’s bat species roost in trees and migrate long distances annually: hoary bats, eastern red bats and silver-haired bats. Migratory bats are facing a variety of threats, such as habitat loss, climate change, pesticide use, and fatalities at wind energy facilities. Large numbers of bat fatalities have been recorded at wind energy facilities […]

Currently, the automotive industry is going through a very significant transformation—one that is blending cars with modern IT, involving technologies such as: multiple CPUs for in-car computing, ad-hoc networking and Internet connectivity, computer vision and sensing technologies, entertainment and artificial intelligence for automated driving and real-world congestion control. Connected and intelligence vehicles are also raising […]

Since the 19th century, Chinese men and women have migrated to small towns and cities throughout places such as Southeast Asia, Australia, New Zealand and North America in search of better opportunities, bringing with them many traditional cultural practices, values and customs that evolved over time and space. How did early migrants retain cultural heritage […]

Surface waters typically have high levels of natural organic matter. The reaction of this organics with chlorine, which is generally used for disinfection, results in the formation of carcinogenic chlorine disinfection by-products (DBPs). Water treatment plants are obliged to come up with appropriate solutions to meet the set guidelines on maximum acceptable levels for these […]

Sense and Avoid is a capability that is required by Unmanned Aerial Vehicles (UAV) to ensure that they do not enter into collision with other manned and unmanned aircraft. Obstacle avoidance of stationary objects is an important first step toward building Sense and Avoid systems. For stationary objects, after the object has been detected and […]

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive. However, the use of chemical dust suppressants […]

This study will focus on an alternative remote sensing method for crop long-term biomass monitoring and prediction of final yield using Unmanned Aerial Vehicle (UAV) based 3D point cloud data in Southwestern Ontario. Currently, biomass and yield are estimated from statistical and crop growth models. However, statistical models are only applicable for specific area or […]

Machine learning techniques have been applied to the financial industry for some time. They have allowed large utilities and generators to better forecast their needs, and the prices they will pay, leading to a generally more efficient grid. However, very little research has been done that could benefit power marketers, who do not have a […]