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An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing
DownloadSpring 2022
Research in unsupervised text generation has been gaining attention over the years. One recent approach is local search towards a heuristically defined objective, which specifies language fluency, semantic meanings, and other task-specific attributes. Search in the sentence space is realized by...
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Spring 2020
The predictive representations hypothesis is that representing the state of the world in terms of predictions about the future will result in good generalization. In this thesis, good generalization is specifically quantified by good learning performance in both accuracy and speed when predicting...
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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 2023
Critical point calculations are a topic of great importance and a fundamental part of classical thermodynamics. While the basis of this field is hundreds of years old, the effective handling of complex, multicomponent fluid mixtures has been an ongoing area of study over the past 50 years. Two...
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Analysis of the effectiveness of magnetic filters of shovel hydraulic system and successive hydraulic failure prediction using data-driven approaches
DownloadFall 2022
Surface mining dominates the world's production of minerals. Currently, almost all non-metallic minerals (more than 95 %), most metallic minerals (more than 90%), and a significant fraction of coal (more than 60%) are mined by surface mining methods. The hydraulic shovel-truck system forms the...
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Spring 2021
Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand...
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Application of Data Mining Techniques for Fault Diagnosis and Prognosis of High Pressure Fuel Pump Failures in Mining Haul Trucks
DownloadFall 2021
Mining companies are investing in fewer but larger equipment, and downtime associated with larger equipment now represents a higher percentage of operational capacity loss. Thus, it is essential to frequently and accurately monitor the health of this equipment to avoid unscheduled breakdowns 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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Spring 2021
This thesis applies computer vision and machine learning techniques to three engineering projects: a self-driving vehicle, a predictive display system, and a vision-based robot manipulator joint detector. In the first project, we build a remote-controlled car and implement three core self-driving...