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Skip to Search Results- 1Allen,Richelle J
- 1Azhin, Maryam
- 1Backs, Jonathan A.J.
- 1Barczyk, Martin
- 1Boisvert, Jeff
- 1Booker, Brandon K.
- 7Department of Electrical and Computer Engineering
- 6Department of Chemical and Materials Engineering
- 4Department of Civil and Environmental Engineering
- 3Department of Biological Sciences
- 2Department of Renewable Resources
- 1Department of Agricultural, Food, and Nutritional Science
- 2Deutsch, Clayton (Civil and Environmental Engineering)
- 2Jing, Yindi (Electrical and Computer Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
- 1Alasdair Syme (Oncology)
- 1Beaulieu, Norman C. (Electrical and Computer Engineering)
- 1Belosevic, Miodrag (Biological Sciences)
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Predictive Control, Estimation and Sensor Placement of Large-Scale Transport-Reaction Systems
DownloadFall 2023
Advanced process control and monitoring rely on the accurate description of complex processes and their dynamic behaviors. Typically, numerous industrial processes are characterized by either partial differential equations (PDEs) or ordinary differential equations (ODEs), depending on whether...
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Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...
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Estimation, Soft Sensing and Servo-control of Linear Distributed and Lumped Parameter Systems
DownloadFall 2021
State-of-the-art advancements in the realm of industrial process control and monitoring often require accurate descriptions of complex processes and their dynamical behaviours. Usually, many industrial processes are described by partial differential equations (PDE) or ordinary differential...
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Design and Implementation of Chipless RFID-Based Monitoring Sensor System for Coated Metallic Structures' Integrity
DownloadFall 2020
This thesis work presents structural health monitoring (SHM) techniques for coated-metallic structures based on Chipless Radio Frequency Identification (RFID) technology. The structures of interest for this study include pipelines for crude oil transportation and storage tanks (or terminals). The...
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Spring 2020
Collisions of motorized transport with wildlife impact a wide range of species and can cause injuries and economic losses to people. On roads, vehicle collisions with animals have been studied extensively, resulting in mitigation measures that reduce collisions by segregating animals and...
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Residential construction manufacturing estimating framework: the case of lightweight timber framing
DownloadFall 2020
The term industrialized construction was adopted by the offsite construction industry where the building components are prefabricated in factories and then transported to the construction site for on-site assembly. With this shift towards industrialized construction, new challenges were...
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Fall 2020
Column flotation, as a selective separation process based on differences in surface properties, is used for a broad range of applications in the mineral processing industry, including metallic, non-metallic, and coal ores, as well as wastewater treatment over the last fifty years. Flotation is a...
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Fall 2018
Understanding where and when populations occur is the first step to conservation and maintenance of biodiversity. Where human land-use overlaps with populations of conservation concern, population loss may occur, potentially reducing long-term persistence of species, particularly for those that...
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Spring 2017
The basic human right to have safe and clean drinking water cannot be neglected with the ever-rising worldwide need for drinking water that meets global standards. Local monitoring of water sources is even more vital in areas where access to pure drinking water is limited and its processing...
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Spring 2016
Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...