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Skip to Search Results- 95Graduate and Postdoctoral Studies (GPS), Faculty of
- 95Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6WISEST Summer Research Program
- 6WISEST Summer Research Program/WISEST Research Posters
- 4Computing Science, Department of
- 4Mechanical Engineering, Department of
- 25Department of Civil and Environmental Engineering
- 13Department of Chemical and Materials Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 10Department of Mechanical Engineering
- 2Department of Agricultural, Food, and Nutritional Science
- 3Huang, Biao (Chemical and Materials Engineering)
- 3Lipsett, Michael (Mechanical Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Bouferguene, Ahmed (Campus Saint-Jean)
- 2Dinavahi, Venkata (Electrical and Computer Engineering)
- 2Liang, Hao (Electrical and Computer Engineering)
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Fall 2016
The integration of clinical linear accelerators (linacs) with magnetic resonance imaging (MRI) systems represent the next generation of image guidance technologies in radiotherapy. Linac-MR systems have several potential advantages over the current X-ray based state-of-the-art image guidance...
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Spring 2012
A promising approach to the development of an integrated system for magnetic resonance imaging-guided radiotherapy involves the rigid coupling of a medical linear accelerator to a rotating biplanar magnet assembly. Through near real-time volumetric imaging during irradiation, this hybrid system...
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2015
Klassen, John S., Yao, Yuyu, Serpe, Michael J., Xu, Wenwen
Anisotropic particles have generated an enormous amount of research interest due to their applications for drug delivery, electronic displays and as micromotors. However, up till now, there is no single protocol capable of generating particles of “patchy” composition with a variety of...
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Fall 2015
Carbon dioxide capture using adsorption based separation processes has shown promise but has not been exploited to full potential to be implemented on a commercial scale. This thesis examines two key stages in the development of adsorption based carbon dioxide capture processes, namely adsorbent...
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Spring 2013
Production scheduling of any mining system has an enormous effect on the operation’s economics. The economics of today’s mining industry are such that the major mining companies are increasing the use of massive mining methods. Among the mining methods available, caving methods are favored...
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Spring 2024
With the growing demand for online applications such as high-resolution video streaming and cloud gaming, there is an urgent need for high-throughput and low-latency technologies. The Remote Direct Memory Access (RDMA) over Converged Ethernet Version 2 (RoCEv2) network protocol is increasingly...
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Modeling and Optimization of CO2 Fixation using Microalgae Cultivated in Oil Sands Process Water
DownloadSpring 2015
Biological fixation of CO2 using microalgae is a potential CO2 reduction strategy which can be applied to the oil sands operations in Alberta. These operations also produce large amounts of oil sands process water (OSPW), which can act as a growth medium for the microalgae. In this thesis, three...
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Modelling landscape changes and metrics, and determining optimal resource allocation by integrating Geographic Information Systems, government policy, and economics
DownloadFall 2015
The main goal of this thesis is to contribute to the knowledge base of land use and land cover change dynamics in ecologically sensitive, seasonal environments with a dominant agricultural industry. Anthropogenic alteration by land-based industries currently threatens many ecosystems, including...
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New Fast and Accurate Steady-State Analysis Approach for Design, Optimization, and Simulation of General Power Converter Systems
DownloadSpring 2023
Accurate steady-state analysis of power converters are essential for converter design and optimization. Steady-state responses are also useful for component selection, loss calculation, identification of soft switching operation, and small signal modeling of power converters. Normally, a...
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Fall 2021
The optimization of non-convex objective functions is a topic of central interest in machine learning. Remarkably, it has recently been shown that simple gradient-based optimization can achieve globally optimal solutions in important non-convex problems that arise in machine learning, including...