Understanding memory consumption in a distributed data analytics system

Data analytics has emerged as an important driver for economic success in many businesses and in the public sector. In healthcare, using data analytics promises to reduce costs and improve patient diagnostics and treatment. This project is a collaboration with a Vancouver-based company PHEMI Systems that provides data analytics solutions for healthcare and other industries. Our goal is to understand how to make data analytics system used by PHEMI and many others more efficient in terms of consumed resources while at the same time meeting the needs of privacy.

Highly Efficient Uninterruptable Power Supply (UPS) Modules

The UPS market has recently experienced an exponential growth due to the increase in the number of data centers and IT centers. In this research program, superior UPS products will be designed and developed to comply with the new performance requirements of the UPS market. This research program has tremendous value for Alpha Technologies Ltd. to be able to acquire significant market share and attain more revenue. This research program can place Alpha as the leading company in future advanced UPS technology.

Ultra-low power wireless sensor node design for health monitoring use cases

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

Versatile Systems-on-Chip Integration to Reduce Aircraft Weight and Gas Emission (VairCRAFT)

The aeronautic and aerospace industries are exploring new approached to reduce the mass of cables, bulky electronic systems. This rationally leads onto aircraft weight reduction as well as the amount of CO2 and greenhouse gas emitted by aircrafts. To reduce the mass of cables, merging/embedding different electronic systems in a single chip is an alternative. In this approach, massive electronic modules are miniaturized in a so-called SoC. Different SoCs can be embedded in a single package called SiP.

Simulation and analysis of light scatter in head mounted display lens

Head-mounted display (HMD) lenses can include a high degree of scattering (ghosting) which reduces brightness and contrast, and is distracting to the user. This can directly impact the utility of the device, if for instance some of the display is illegible because of excess light scatter and blurring. In this research, we want to investigate ways to model sources of light scattering in a HMD with freeform lenses, using non-sequential raytracing software.

An Enhanced Multifunctional Battery Energy Storage System for Energy Management and Power Quality Improvement - Year two

Canada is becoming an international leader in energy storage systems. Battery energy storage systems (BESS) are one of the key parts of the storage landscape and can serve a wide range of applications across the electricity supply chain. The focus of this research project is on the application of BESS in mitigating power quality issues in industrial facilities.

Investigation of a Hybrid Cascaded Modular Multilevel Converter

A high-voltage, direct current (HVDC) transmission system provides an efficient, reliable, economical and environment-friendly solution to interconnect between different power systems. HVDC permits electric power to be distributed to remote areas, which benefits the community with economic electricity usage and the government with extra financial revenues. This proposed project aims to investigate novel methods to further improve the efficiency of the HVDC transmission systems.

Overshoot Voltage Mitigation in the Long-Cable Fed Induction Motor Drives using Modular Multilevel Converters (MMCs)

A major part of the generated electrical energy in the power systems is consumed by the electric machines to support the required mechanical energy for the clients in various applications such as pumps, oil and gas, household, electric vehicles, etc. In large scales, higher efficiency, reliability, and life time of the employed electric machines in the network results in less burnt fossil fuel in the generation stations. Accordingly, a lower amount of carbon dioxide emission is predicted in this case and less health problems related to the greenhouse gases emissions are expected.

Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by working with the industrial partner, we will develop a set of improved object detection and tracking algorithms for UAV.

Break down Monolithic Enterprise Applications to Micro-services

Microservices architectures is a new system architecture for building the next generation software system, where multiple single functional microservices can be distributed on different hosts and can communicate with light weighted network protocols. The advantages of such a system architecture are functioning decoupling, independent deployment for easy trouble shooting and easy maintenance. We have foreseen the current monolithic system will migrate to microservices architecture.