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Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 22Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Deep Learning
- 13Nanotechnology
- 13Optimization
- 21Musilek, Petr (Electrical and Computer Engineering)
- 21Reformat, Marek (Electrical and Computer Engineering)
- 21Tellambura, Chintha (Electrical and Computer Engineering)
- 20Chen, Tongwen (Electrical and Computer Engineering)
- 20Li, Yunwei (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
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Spring 2021
Nowadays, leakage detection is of great importance as pipelines are the major means of transporting hydrocarbon fluids and gases. In this thesis, we propose two methods based on supervised learning and filtering to deal with the pipeline leakage detection problem. First, a novel two-stage...
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Fall 2016
Nowadays, industrial processes are becoming highly complex and integrated due to the applications of advanced distributed control systems. As multiple production units with thousands of actuators are operating at the same time, the reliability issue of process plants naturally arises. To ensure...
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Spring 2020
As the process control industry and production lines become highly complex and significantly invested with high-dimensional variables, process health monitoring attracts more attention from the domain experts and process operators. Since data is ubiquitous nowadays thanks to the advanced computer...
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Fall 2013
To meet the demands of safety, quality and efficiency, process monitoring is of great importance. However, a serious problem exists in the industry: too many alarms are raised for operators to handle. Consequently, techniques need to be developed in order to reduce nuisance and false alarms to an...
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Decentralized Schemes for Grid-Forming Inverter System Efficiency Improvement and Online-Inverter Detection
DownloadSpring 2022
Parallel grid-forming (GFM) inverters are used in many modern power system applications. Therefore, improving their system efficiency is of paramount importance for energy savings. The droop control method has been conventionally used to share the power among inverters proportional to their power...
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Spring 2014
Energy-saving is a key element of Smart Grid. By encouraging consumers to moderate their energy demands, utilities can make more efficient use of their generation assets, and reduce total fuel consumption. For this purpose, we must provide homeowners with appliance energy consumption data,...
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Fall 2013
In recent years, the increased public awareness of energy conservation has attracted serious attention to detailed energy consumption monitoring and management for the end users of power system. Load decomposition is a technique that can extract detailed sub-load information from compound load...
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Spring 2024
Studying 3D human actions is a fundamental task in computer graphics, computer vision, and robotics, with a broad range of applications such as VR/AR, AAA gaming, filmmaking, and artistic creation. Conventional approaches often necessitate labor-intensive manual intervention, consuming...