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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 1Adaptive
- 1Amplify-and-Forward
- 1Anomaly detection and localization
- 1Average Symbol Error Probability
- 1Causality analysis
- 1Cooperative
- 2Chen, Tongwen (Electrical and Computer Engineering)
- 2Hao Liang (Electrical and Computer Engineering)
- 1Beaulieu, Norman C. (Electrical and Computer Engineering)
- 1Han, Jie (Department of Electrical and Computer Engineering)
- 1Jiang, Hai (Department of Electrical and Computer Engineering)
- 1Jie,Han(Electrical and Computer Engineering)
Results for "Probability Distributions on a Circle"
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Fall 2017
identical distributions, and the third design compensates for the probability inaccuracy caused by the variations using a two-step switching process. All three designs can generate high-quality random sequences without using complicated post-processing or real-time feedback circuits. Moreover, general
the variation challenges, three variation-resilient TRNG designs based on STT-MTJs are proposed in this thesis work. The first design utilizes a parallel structure with multiple devices to minimize the variation effects, the second design leverages the symmetry of an MTJ pair to take advantage of two
In the Internet of Things (IoT) era, security has increasingly become a challenge, so encryption has been widely used to protect data. Random number generators (RNGs), as an essential part of cryptographic systems, are implemented in connected devices for information security. However, inadequate
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Stochastic Energy Management and Cyber-Physical Security of Battery Energy Storage Systems in Smart Distribution Systems
DownloadFall 2020
Battery energy storage systems (BESSs) are vital for improving the sustainability, efficiency, and resiliency of smart distribution systems (SDSs). With the proper energy management, BESSs can provide a wide range of applications for both demand-side and grid-scale services in SDSs. However, there
BESSs are included for the sustainable charging with reduced costs. By treating EBCSs as energy prosumers, the day-ahead dynamic prices are used to mitigate charging impacts. This problem is formulated as a distributionally robust MDP (DRMDP) to address the inaccuracies of probability density function
against BESSs in SDSs are analyzed. More specifically, a numerical model of false data injection attacks (FDIAs) against distribution system states estimation (DSSE) of SDSs is developed, which is used to construct stealthy cyber attacks targeting system information integrity of SDSs. In the developed
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Fall 2015
leakage current to prevent the loss of previously stored energy. Design strategy to optimize the impedance matching circuit of an RF energy harvester to maximize the harvested power for a range of received power levels with known probability density distributions is presented. Optimization of the RF
wireless sensors. This research is focused on the design of an integrated energy harvesting system in CMOS technology. The main objective of the research is to improve the sensitivity and RF-to-DC power conversion efficiency (PCE) of the RF rectifiers while providing a large output voltage from low
implemented on a customized printed circuit board (PCB). The proposed adaptive threshold voltage compensated rectifier circuit achieves a maximum PCE of 32% at an input power of -15 dBm (32 µW) with an output DC voltage of 3.2 V for a 1 MΩ load. At a remarkably low input power of -21.6 dBm (6.9 µW) for a 1 MΩ