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Uncalibrated Vision-Based Control and Motion Planning of Robotic Arms in Unstructured Environments
DownloadFall 2012
Many robotic systems are required to operate in unstructured environments. This imposes significant challenges on algorithm design. Particularly, motion control and planning algorithms should be robust to noise and outliers, because uncertainties are inevitable. In addition, independence from...
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Fall 2017
Asphaltene is the most difficult fraction of bitumen and heavy oil to upgrade, as it has low H/C, high molecular weight and metal content. Asphaltenes are insoluble in paraffinic solvents, and undergo aggregation and coke formation during refining and cracking processes. No attention is usually...
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Spring 2022
Masonry, as a conventional construction material, is widely used due to its durability, strength, hygrothermal performance, and aesthetics. However, the behaviour of masonry structures is not fully comprehended, especially in the face of uncertainty. This lack of understating on the behaviour...
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Uncertainty in Life Cycle Assessments of Well-to-Wheel Greenhouse Gas Emissions of Transportation Fuels Derived from Various Crude Oils
DownloadFall 2016
Growing concern over climate change has created pressure on the oil and gas industry to reduce their greenhouse gas (GHG) emissions. Several life cycle assessment (LCA) studies have examined various crude oils in an attempt to determine which have the lowest and highest well-to-wheel (WTW) GHG...
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Uncertainty in Probabilistic Open Pit Slope Stability Analyses: Implications for Reliability-Based Designs
DownloadSpring 2024
The presence of uncertainty is acknowledged in various fields of Engineering. Also, there are many sources of uncertainties. In geotechnical engineering, probabilistic slope stability analysis (PSSA) is a tool used to quantify parameter uncertainty. It achieves this by considering any strength...
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Fall 2011
Villalba Matamoros, Martha Emelly
Analysis of uncertainty in ore reserves impacts investment decisions, mine planning and sampling. Uncertainty is evaluated by geostatistical simulation and is affected by the amount of data and the modeling parameters. Incomplete uncertainty is given because the parameter uncertainty is ignored....
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Fall 2022
Some real-world deployments of deep reinforcement learning (RL) may require a human-in-the-loop. Whether to ask-for-help, obtain new demonstrations and data, or handle out-of-distribution states, many methods rely on uncertainty estimates from a neural network to determine when to solicit a...
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Spring 2020
Electricity is an essential part of our daily life which can be supplied by power systems with fossil fuels or renewable energy sources. Nowadays, traditional power systems are evolving towards new smart grid with the development of advanced information and communication technology. Compared with...
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Spring 2023
This thesis sets out a workflow to quantify uncertainty of the Arrow Deposit, a tabular, vein type, high-grade, basement-hosted, uranium deposit located on NexGen Energy Limited’s 100%-owned Rook I property in northern Saskatchewan. The uncertainty associated with the volume, grade, and density...
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Spring 2013
It has been known that for some physical problems, a small change in the system parameters or in the initial/boundary conditions could leas to a significant change in the system response. Hence, it is of importance to investigate the impact of uncertainty on dynamical system in order to fully...