A recipient of the World Economic Forum 2015 Technology Pioneer Award, Vancouver-based quantum computing company 1QBit is a leader among the most promising technology companies. The company works closely with Fortune 500 clients and leading hardware providers to solve problems in the areas of optimization, simulation, and machine learning.
This project aims to develop and analyze a radial pneumatic propulsive system for vehicular applications in a different size ranging from city-driving short-range vehicles to 40-foot municipal transit and school buses. It is intended to bring the potential investors to Canada out of this project to collaborate with regarding academic and partner organizations.
In order to meet Canada’s need for emissions-free hydrogen fuel, we aim to develop the Copper-Chlorine (Cu-Cl) thermochemical hydrogen production cycle into a pilot-plant which can be used to demonstrate the commercial feasibility of the process. An important portion of this development is research into how to integrate the Cu-Cl cycle with a waste heat source. By utilizing waste heat capture and upgrade, the Cu-Cl cycle can generate hydrogen fuel using energy that otherwise would be radiated into the environment.
One crucial difficulty with fast charging lithium-ion battery packs is the possibility of battery capacity deterioration if not properly managed. Fast charging electric vehicles for example, should involve ensuring that each one of the thousands of cells are charged safely and are balanced to all the other cells if the range of the vehicle is to be maintained for several years. The most common way to safely charge and balance cells involves a lot of wasted energy and suboptimal capacity saving methods.
The battery is considered as the source of power for electric transport. The performance of the battery drops at low temperature which reduces the mileage of Electric Vehicle (EV). This issue is hindering the widespread adoption of EV in cold places like Canada. The Low-Temperature Battery (LTB) can be used in EV to solve the low milage problem in extreme cold temperature, but its cost is around three times higher than the Normal Temperature Battery (NTB). So, using the LTB in an EV is not economically feasible.
Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, and the system becomes ready to answer related questions to their followers or audience who are interested in the service or product. Providing answers to the questions of the clients can help to increase sales and grow the business.
Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach aims to use a control method to maintain a vehicle in the intended path during automated braking, while the deceleration and collision prevention is optimized.
The primary objective of the lab demo system is to interface the FBGs sensors for monitoring of electrical parameters of a demo power grid network equipment prototyped in the lab and the second objective is to interface, multiple electrical parameters of a demo power system grid network over a single module of FBG sensor and send it remotely for the performance monitoring and control purpose.
The purpose of this project is to improve the lives of citizens in The Region of Durham through a partnership between the Regional government and Ontario Tech University. This project will tackle issues related to aiding vulnerable populations in our communities such as members of our homeless population and seniors living in long-term care homes.
Paramedics perform a range of services in pre-hospital patient care, often being the first responders for the most critically ill patients. As such, it is crucial for them to learn and retain life-saving clinical procedures throughout their career. Simulation has been designed to provide a way to paramedic training. This project focuses on the development of a 3D printed simulator for training and re-training of the needle decompression procedure, a life saving yet rarely performed procedure.