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Development of short back-fire antennas and electromagnetic modeling techniques for remote sensing of oil-contaminated sea ice
(2021)
This thesis presents research into microwave remote sensing technologies for Arctic Science applications.
In the first part of my thesis, I created and verified procedures for measuring the dielectric of a small volume ...
Research on modern power semiconductor modelling methodology for efficiency evaluation of power electronic systems in electromagnetic transient simulation
(2021-07-13)
Power electronics technology has rapidly developed during the past decades. Power electronics systems aim to achieve high efficiency as power conversion interfaces while fulfilling the performance and reliability requirements. ...
Electromagnetic inversion strategies for antenna design and characterization
(2021)
In this work, we use the electromagnetic inversion (EI) framework to develop/improve algorithms for the purpose of antenna design and characterization. Broadly speaking, antennas are any device, object, or system that can ...
UAV and IRS-aided wireless communications: modeling, analysis and optimization
(2021-12)
With the roll-out of 5G in many countries e.g. South Korea, Canada, etc, the discussions on the development of 6G are overtaking the attention of both academia and industry. In comparison to 5G, 6G will bring a wider ...
A study on using linear electromagnetic imaging methods for obtaining the grain/air interface inside metallic-walled grain storage bins
(2022-04-28)
This thesis focuses on monitoring stored grain through the use of electromagnetic inversion. Electromagnetic inversion is the process of illuminating a target with electromagnetic waves, and from limited field measurements ...
A data augmentation approach using style-based generative adversarial networks for date fruit classification
(2022-05-16)
Hardness is important for ascertaining the quality of dried fruits such as dates. In the dates sorting facilities, hardness is determined by human visual inspection resulting in the high accuracy of the sorting process. ...
Evaluation methodology for DC line fault clearance techniques in a point-to-point VSC-HVDC transmission system
(2022)
This thesis examines and compares various DC fault clearance methods that can be used for the VSC-HVDC transmission system, specifically in the context of a point-to-point VSC HVDC transmission system. The newest conceptual ...
Parametric inversion of experimental electromagnetic imaging data using synthetically-trained neural networks
(2021)
Electromagnetic imaging is a method that aims to reconstruct a spatial map of the material properties of a target through non-invasive measurements, allowing an observer to see inside objects, such as the human body, ...
Agricultural harvester sound classification using convolutional neural networks and spectrograms
(2022-05-25)
This thesis presents deep learning techniques applied to agricultural machines sounds in order to classify them. The objective of the thesis is to determine if it is possible to predict the machines state from the engine ...
Development of a dual-mode microwave-ultrasound breast imaging system
(2022-03-30)
This thesis reports on the development and testing of 2-D and 3-D ultrasound (US) breast imaging systems, as well as a novel integrated microwave-ultrasound breast imaging system that uses US-derived prior information to ...