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Skip to Search Results- 5Machine Learning
- 3Reinforcement Learning
- 3Serverless Computing
- 2Alarm systems
- 2Anomaly Detection
- 2Artificial Neural Network
- 5Khazaei, Hamzeh (Electrical and Computer Engineering)
- 5Reformat, Marek (Electrical and Computer Engineering)
- 4Musilek, Petr (Electrical and Computer Engineering)
- 3Ardakanian, Omid (Computing Science)
- 3Chen, Tongwen (Electrical and Computer Engineering)
- 3Liang, Hao (Electrical and Computer Engineering)
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Spring 2021
Alarm systems are considered to be essential components of industrial control systems, and are used to communicate the indication of alarm states to operators, ensuring the safe and efficient operation of modern industrial plants. Ideally, alarms should only appear when there are abnormal...
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Spring 2021
With the booming development of the Internet, the amount of data stored in databases are enormously growing. Databases retrieve relevant information in response to users’ queries; the retrieved information is encoded in dynamically generated by databases in the form of structured data records. As...
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Spring 2021
Alarm systems are critical assets in process industries to ensure process safety and efficiency. However, the number of alarms has grown exponentially in the past decades due to easy alarm configuration in computerized systems and lack of proper alarm rationalization. As a consequence, the...
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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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Fall 2021
Malware classification is a critical task in cybersecurity. It offers insights on the threats posed to victim devices from different malware and aids in the designing of precautionary measures. In real world applications, due to the vast amount of malware present in the networks, real-time...
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Spring 2021
The distributed ledger technology (DLT) has been envisioned to be a disruptive technology with applications in various industries. For the DLTs to be effectively used in practice, it is crucial to assess their performance in different use cases and scenarios. In this thesis, we first conduct a...
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Analysis, Design and Control of Asymmetrically Modulated Dual Active Bridge Converters for Energy Storage Systems
DownloadSpring 2021
Energy storage units are widely used in power systems to increase grid reliability to compensate the risks imposed due to massive integration of intermittent sources, as well as serve as spinning reserves. High efficiency dc-dc converters are required as an interface between the storage units and...
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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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Fall 2021
As a key infrastructure of constructing the Internet of Things, wireless sensor networks (WSNs) have attracted plenty of research interest. It is expected to be widely applied in almost every aspect of future life. Nowadays, some preliminary applications and prototypes have emerged in various...
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Cellulose nanocrystals conjugated with metallophthalocyanines: Applications in visible-light driven photocatalysts and memory devices
DownloadFall 2021
Cellulose is the most abundantly available renewable polymers on the planet, which have received scientific attention from numerous research communities. Cellulose nanocrystals (CNCs) are crystalline nanorods obtained through the acid hydrolysis of cellulosic materials such as wood pulp, cotton...