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Skip to Search Results- 21Department of Civil and Environmental Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 11Department of Chemical and Materials Engineering
- 5Department of Agricultural, Food, and Nutritional Science
- 5Department of Mechanical Engineering
- 3Huang, Biao (Chemical and Materials 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)
- 1Adamowicz, Wiktor (Resource Economics and Environmental Sociology)
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Fall 2014
In today’s vehicle applications, Selective Catalytic Reduction (SCR) ammonia dosing is completed using complex control algorithms that need to be parameterized for the individual catalytic converter technology. The parameterization of these control strategies is not always completed during the...
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Action Selection for Hammer Shots in Curling: Optimization of Non-convex Continuous Actions With Stochastic Action Outcomes
DownloadSpring 2017
Optimal decision making in the face of uncertainty is an active area of research in artificial intelligence. In this thesis, I present the sport of curling as a novel application domain for research in optimal decision making. I focus on one aspect of the sport, the hammer shot, the last shot...
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Fall 2017
High pressure carbon dioxide adsorption processes are employed in applications such as carbon dioxide capture and supercritical fluid chromatography (SFC). Carbon dioxide capture using adsorption has gained wide attention because of the promising materials that are developed for this application....
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Advanced quantitative techniques to enhance heavy and civil construction information modeling
DownloadSpring 2011
Site development in heavy and civil construction need to consider many rules such as ensuring proper drainage, prevention of flood, safety driving, optimizing earthwork, minimizing fleet travel distances, proper fleet matching and achieving high equipment utilization rates. In recent decades,...
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Spring 2021
Smart grid, typically regarded as the next generation of electrical power grid, can bring numerous benefits for electric utilities and customers with substantial economic and ecological benefits. However, uncertainties caused by the distributed power generation from renewable energy sources,...
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An Assessment of the Impacts of Climate Change on Freight Delivery Schedule Strategies on the Mackenzie River
DownloadFall 2016
The Mackenzie River is a major freight transportation route serving many remote northern Canadian communities and mining sites. The river is only navigable during the summer and early fall months, when it is clear of ice. However, the water conditions of this river have changed significantly in...
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An Improved Approach to Production Planning in Oil Sands Mining Through Detailed Analysis and Simulation of Cycle Times
DownloadFall 2018
The objective of this thesis is to develop, implement and verify a theoretical framework based on detailed analyses and simulation of truck and shovel cycle times in open pit mining, placing an emphasis on the hauling component of the cycle. The goal is to improve the generation of accurate and...
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Fall 2021
The warm vaporized solvent injection process has been proposed as a more environmentally friendly alternative to steam-based technologies for bitumen recovery. The process typically involves injecting heated solvent vapor into a horizontal injector; the solvent condenses and dissolves into...
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Spring 2022
Artificial Neural Network (ANN) has gained great interest in industrial applications due to their supremacy in modelling complex process behaviour. Applications of ANN include process modelling, optimization and fault diagnosis. However, pure data-driven approaches that use only observations to...
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Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...