Modular Multilevel Converters with Energy Storage – Design, Modeling, and Operation

Modern power systems wherein renewable resources such as solar and wind power are extensively used need to rely on some means for energy storage to address the intermittency of such resources. This proposal investigates a class of power electronic converters that are able to connect battery energy systems to the grid and provide multi-directional pathways for the flow of energy. Various models will be developed for these converters to facilitate their design, analysis, and computer simulations.

Investigating the efficacy of Sleepgift blanket on sleep quality and heart health

Exposure to electromagnetic field (EMF) emitted by mobile phones and devices with WIFI is on the rise and so is the EMF effects on sleep quality and well-being of individuals with high exposures to EMF. Some studies have shown poor sleep quality among individuals with long-term occupational exposure to EMF, and some have shown association between EMF long-term exposure and neuropsychiatric disorders including depression. This study aims to investigate a commercially available EMF-blocker blanket, called Sleepgift, that claims helping people to have a better sleep and improved health.

Investigation into multi-terminal and multi-infeed option for Western Canada Grid with renewable sources

Presently the electrical grids of Manitoba, Saskatchewan and Alberta are operated with limited energy exchange between them. Connecting the three provinces together with a “Western Canada Grid (WCG)” could yield significant advantages. Connection with HVDC transmission is attractive due to its control flexibility and stability. This project will investigate optimum converter types and control methods for implementing a successful Western Canada Grid.

Monocular 3D Object Reconstruction in Autonomous Driving

3D object reconstruction is a crucial task for autonomous driving. Many important fields in autonomous driving such as prediction, planning, and motion control generally require a faithful representation of the 3D space around the ego vehicle. Reliable and accurate 3D reconstruction with one RGB video alone in autonomous driving is the goal of this project. This project will present a reliable and accurate method for perspective projection reconstruction of rigid and non-rigid objects from single-view and realistic videos.

Flood and drought prediction, simulation, and monitoring

The increasing frequency of flooding has driven research to improve near real-time flood mapping from remote-sensing data. In Quebec, in the spring of 2017, several regions experienced severe flooding caused by consecutive record-setting rain events during snowmelt from early April to mi0-d-May. The current project aims to provide real-time monitoring tools not only for flooding but for drought as well, i.e., visualization and simulation tools using both remote sensing data, but also data collected from an Internet of Things network.

Learning-based Autonomous Robotic System for Package Sorting Application

With the advent of e-commerce and logistics industry, numerous goods are delivered every day. Sorting systems play a pivotal role in orders delivery practices. Advanced sorting systems are required nowadays because e-commerce retailers are usually confronted with different orders, each consisting of various items. Integrated sorting systems typically consist of a mix of conveyors tied together which are controlled by the Warehouse Management System (WMS). Traditional objects sorting lines rely on human operators to locate and pick each product by hand.

Stereo (Multi-view) DepthIQ and its Application in SLAM

Our partner organization has developed a new type of camera, one where depth information is part of a single lens/sensor construction, meaning that there are no occlusions or shadows which plague stereo cameras, there is no requirement to light the scene as well time-of-flight cameras, and the expense is low compared to light-field cameras. Currently these cameras are limited to a near-range depth field of around 2m, this project aims to improve through several methods.

Verification & Security of Blockchain Oracle Network Effects on Smart Contracts

Bitcoin! Ethereum! Blockchain! In the past year, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, it has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are secured by cryptography and economic incentives, and that they are governed by decentralized consensus.

BLH Personalized Smart Wig Simulation and Health Monitoring

Wig is a wearable device that can be used to help with many aspects of our lives. Since it is in close contact with the human body, it makes it a great tool for human health monitoring. This can be done through the hidden sensors in wigs that keep collecting information about physical and mental health of users. Since different wigs match different people, considering the shape of their head, skin color and their own preferences, it is important for users to know how a certain wig changes their appearance.

A transformer-based model for credit card fraud detection

Credit card payments are one of the most common transaction methods in our daily life, such as online shopping, e-commerce, and mobile payment. However, with the extensive usage of credit cards, numerous credit card fraud transactions occur every year and cause a huge economic loss. In order to improve the detection performance, this project proposes a transformer-based model to conduct fraud detection. The proposed transformer-based model omits convolutional or recurrent operations and relies solely on attention mechanisms to extract dependencies in the sequence dataset.