Human Activity-based Cycle Time Analysis for Optimizing Repeatable Processes on Manufacturing Floors

Over 70% of tasks in manufacturing are still manual and because of this over 75% of the variation in manufacturing comes from human beings. Human errors were the major driver behind the $22.1 billion in vehicle recalls in 2016. Currently when plant operators want to gain an understanding of their manual processes, they send out their highly paid industrial engineers to run time studies. These studies produce highly biased and inaccurate data that provides minimal value to the manufacturing teams.

Wavefield Imaging for Stored Grain Monitoring and Biomedical Applications

Electromagnetic and/or ultrasound imaging technology uses a hardware system to measure a target’s response to interrogating energy. Using sophisticated computer algorithms, these measurements can be converted into an image of the interior properties of the imaging target. Herein, targets of interest lie in the areas of biomedical imaging and stored agricultural crop monitoring.
Major advances in imaging technology over the past decade have made it possible to pursue these applications commercially, but there remains significant opportunity for continued improvements.

Radio Frequency Identification (RFID) Based Multi Agent System in Banking Environment - Year two

The wide adoption and development of wireless sensing technologies for the monitoring and autonomous identification of financial activities have affected financial institutions in the past decade. However, wider utilization of RFID technologies in the banking sector has introduced challenges regarding the security and privacy of sensitive financial data. The proposed innovations and technological developments will revolutionize the banking sector by increasing efficiency, decreasing cost and provide secure and privacy sensitive financial transactions.

Integrated Configurable Power Input/Output Systems for Avionic Applications

Thales Canada develops control systems for avionics applications, which operate in harsh environments that may compromise the functionality of very high density chips. The company needs to develop a generic power interface for different avionics applications with a high level of criticality. However, such circuitry requires a lot of space on printed circuit boards when implemented as discrete components.

Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

WP 1.1.5 - Analog, RF, and SPIC Testing On a Low-Speed Tester

This project will address the production test needs of a silicon-based high-speed photonic transceiver solution for metro-reach terabit optical modems. For this project, the partnership will be between Ciena, DA Integrated (test development contractor) and Prof. Gordon W. Roberts from McGill University (academic expert in DFT and mixed-signal design and test).

Analysis Tools for Automated Rehabilitation Assessment and Progress Tracking

In this project, Cardon Rehabilitation and Medical Equipment (CRME) and the University of Waterloo (UW) will test the Automated Rehabilitation System (ARS) for lower body physiotherapy in a clinical environment. ARS provides the ability to measure the human pose during the performance of rehabilitation exercises and provide real time feedback. CRME and UW are interested in developing algorithms to automatically assess the changes in patient recovery rate.

UV Mapping Assistance through Deep Learning

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D objects. Through this interaction, the hope that AI can extend the utility of design software.

Statistical Learning for Financial Time Series

Given a time series of returns for a portfolio of financial instruments, develop a model that accurately predicts returns which maximize profits. The objective function will take an input of financial indicators from the previous time interval and the returns from the current time interval. These indicators can explain relationships between financial instruments in the portfolio of interest, thus are important for explaining their returns and associated risk. A common challenge with these types of problems is how easy it can be to over-fit your model.

Research into grid-forming methods for off-shore wind farms

Conventional power systems rely on synchronous machines for generation of power and also for formation of an interconnected network of generation to which loads are connected via a transmission system (known as a grid). Increasingly renewable sources of energy are interconnected to a grid via power electronic converters. These converters have been traditionally operated with the assumption of an existing grid thanks to the presence of synchronous machines.