Effects of various compounds on central nervous system neurons as potential therapeutics against epilepsy

Xenon has developed isoform selective blockers of the sodium channels that are expressed in CNS neurons with the intent of developing them for therapeutic use, especially epilepsy. The primary goal of this research project is to determine the activity of compounds on CNS neurons. Until now, all characterization has been done with heterologously expressed channels. Until recently, a major impediment to such studies is the heterogenous nature of CNS neurons, so that a large number of studies need to be conducted for a complete characterization.

Investigating nanostructured local data storage and off-grid powering for the adaptive corrosion protection system

During the proposed internships, smart-grid integrated adaptive corrosion protection system (ACPS) will be developed as a stand-alone unit to provide optimum corrosion protection along with the nanostructured local data storage and off-grid powering. This will allow the continuous monitoring of the corrosion status of the metal infrastructures (e.g. transmission towers) along with the power-grid monitoring data. The proposed system can be directly monitored from the centralized control-room.

The design and evaluation of a wearable technology as an effective tool for promoting early childhood physical literacy development

With childhood obesity and inactivity on the rise at an alarming rate, many government, education, and health agencies are promoting the development of physical literacy to combat this “epidemic.” The concept of childhood physical literacy refers to the development of fundamental movement skills that permit a child to move confidently and with control, in a wide range of physical activities. Wearable technologies have been quickly gaining in popularity, with devices and apps that can track fitness, sleep patterns, mood and even air quality.

Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison gives us rich information that people can use to improve their form. However, generating the expert models is quite hard, and it’s not always easy to understand how to actually compare users and experts.

Perpetual Nomads: an exploration of indigenous narratives and imagery through contemporary and experimental mediums

The goal of the Perpetual Nomads project is to make illustration depicting many indigenous and environmental issues through traditional art media and digital media. The team will be exploring the viability of creating Mixed Reality interactive experiences to increase the awareness, empathy, egalitarianism and environmental concern in users through these illustrated narratives. Since people use new technologies and traditional arts for expressing themselves in so many ways, its crucial for youth to be exposed to powerful ideas relating to consciousness, sustainability and connectivity.

Predicting Building Energy Consumption Using Machine Learning Methods: a Comparison

The aim of this project is to predict building energy consumption for next days. Firstly, we will collect several data such as weather data, time data, and historical energy consumption of the building. We will analyze the collected data to recognize the usage patterns of the building, for instance, the low and the high electricity consumption of building. After data analysis, we will apply several machine learning models to predict energy consumption of building, and finally all models will be compared to choose the outperform method.

Determination of active surface area and gas permeability of fuel cell catalyst layers

Within a hydrogen fuel cell, the cathode catalyst layer (CCL) is generally considered a limiting component in overall performance due to sluggish oxygen reduction reaction kinetics. The proposed internship is comprised of two projects, each characterizing the materials used in the CCL.

Impacts of tidal turbines on marine mammals

Canada’s coastal regions are an excellent source of marine renewable energy. These regions are also popular with marine mammals, providing good feeding opportunities. However little is known about how marine mammals will be affected by tidal energy developments. Concerns include the impacts of sound on animals’ ability to find food and navigate, the indirect effects of changes in prey distribution and abundance, and the direct impacts of collision with tidal energy structures in the water column.

Developing Integrated Smart Home Controllers with Energy-Efficient HVAC Operation

AYO Smart Home is an integrator of new technologies to provide affordable and energy-efficient housing for First Nations communities across Canada. AYO manages the technology and supply chain to deliver Net-Zero houses consisting of efficient building envelopes, heat recovery systems, energy-efficient HVAC, LED lighting, mold-resistant materials, and smart home controllers.

Production planning at Wesgar

Wesgar is a factory that produces metal sheets for its customers. After a product is ready, it will be delivered to the customer. The objective of this project is to improve the On Time Delivery. At Wesgar they have different machines in their production system. These machines are able to process different products based on the shape, size and material. Each product must pass some specific machines to be processed through the production plan. A schedule that determines which product must pass which machine at what time is required for the production system at Wesgar.

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