Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]

Time spent in homes and in transport micro-environments contribute significantly the exposure to air pollutants. Air quality is significantly impacted by the increased green house gas emissions and effects of climate change. However, concentrations in many of these are poorly quantified and challenging to monitor due to limited space, power and Wifi accessibility. This project […]

With rapid population growth worldwide, major cities around the world are seeing an upsurge in high-rise building construction. At the same time, there is an increased awareness about the importance of designing buildings so that they will have limited damage due to strong earthquake shaking. An innovative structural system is proposed that utilizes an outrigger […]

Deep Reinforcement Learning (DRL) for robotic grasping has been actively studied in recent years. Each DRL needs a reward function to interact with its environment and figure out how desirable or suitable the actions it takes in each state are. The reward formulation of DRL is usually a linear summation of the reward components, which […]

Due to chemical reactivity of components in new small modular reactor (SMR) fuel types, e.g., sodium, the federal nuclear regulator has identified spent SMR fuel as an R&D priority area. With multiple sodium fast reactors, including TerraPower’s Natrium reactor, and ARC Clean Technology Canada’s (ARC) ARC-100 reactor, planned for deployment in Canada within the next […]

The Proposal is about centralizing the reporting system an organization having a number of properties distributed in different regions of Canada. Daily revenue report is created at each property at the end of the day and sent to the owner. The owner has to go through a number of reports for getting an accurate view […]

C-Therm is teaming up with the University of New Brunswick to develop a highly digitized implementation of the 3-omega method for thermal conductivity measurements of thin films, such as those employed to manage heat in electric vehicle (EV) batteries. In contrast with traditional transient hot-wire techniques, the 3-omega method operates in the frequency domain, allowing […]

The research project aims to revolutionize the manufacturing of temperature sensors, specifically Resistance Temperature Detectors (RTDs), through cutting-edge automation and advanced welding techniques. Think of RTDs as the devices ensuring your oven maintains the right cooking temperature. Our approach involves using smart sensors and robotics, guided by artificial intelligence, to create a highly efficient and […]