Department of Electrical Engineering: Recent submissions
Now showing items 41-60 of 647
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DYNAMIC EQUIVALENT WIND FARM MODELS FOR PLANNING, OPERATION, AND POST-FAULT ANALYSES
(2021-03-15)With high penetration level of the wind power energy in the power grid, it is necessary to develop robust dynamic wind farm models for stability analysis under different scenarios. However, one single wind generator (WG) ... -
RESOURCE ALLOCATION AND CAPACITY IN WIRELESS COMMUNICATIONS AND NETWORKS
(2021-04-29)How to allocate resources in the era of Big Data in telecommunications becomes a new issue. Smartphone data could be a function of personality, as the smartphone supports interpersonal interaction, and the data collected ... -
NONLINEAR AND QUANTUM OPTICS IN FEW-MODE-FIBERS
(2021-04-22)In the absence of quantum repeaters, fiber loss sets the hard limit on secure quantum communication rate. Single-photon source rate decays exponentially with the length of fiber. The only way to scale the rate up is by ... -
UNSUPERVISED DATA DRIVEN MACHINE LEARNING IN HYPERSPECTRAL IMAGING AND ECHOCARDIOGRAPHY VIDEOS
(2021-05-06)This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently ... -
REALIZATION OF COMPACT ELECTROCHEMICAL SENSING SYSTEMS ON A BOARD AND A CHIP FOR A HIGH-DENSITY SENSOR ARRAY
(2021-05-09)The sensitive and cost-effective electrochemical sensors based on various classes of nanocomposites fabricated by different methods for the detection of target chemicals. Its application is boundless from reactive monitoring ... -
AUTOMATIC SYSTEM RESTORATION FOR INDUSTRIAL POWER SYSTEMS
(2021-04-06)The power system industry often operates close to its limits to accommodate the increased demand posing a high risk of blackouts. Power system restoration techniques are utilized post breakout with the focus on load pickup ... -
DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
(2021-05-07)This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an ... -
ROBUST TRAINING METHODS FOR DEEP NEURAL NETWORKS WITH A VARIETY OF LABEL NOISE
(2021-05-07)Requirement of significant amount of labeled training data is a major drawback in training deep neural networks (DNNs), due to the presence of mislabeled examples in these datasets. This label noise is shown to have an ... -
KERNELS AND BEYOND FOR DATA SIMILARITY LEARNING IN DATA MINING
(2019-12-04)This work discusses the problem of unsupervised clustering of signals/data vectors based on their information content. A correlation based perspective to the clustering problem has been considered, thus relying on the high ... -
Identification and Characterization of Gate Oxide Defects Responsible for Low Frequency Noise in MOSFETs
(2019-11-25)The main objective of this work is to identify and characterize gate oxide defects that are present in submicron p-channel metal oxide semiconductor field effect transistors (pMOSFETs) and which are responsible for random ... -
Nonlinear Optics and Bio-sensing with Silicon Nitride Waveguides
(2019-12-06)Silicon Nitride (SiN) is a CMOS compatible optical material that can be used for both linear and nonlinear optics applications. SiN has high refractive index (1.99-2.0) and low two photon absorption (TPA) coefficient. As ... -
Sub-synchronous resonance analysis and detection
(2019-12-09)With the increasing penetration of renewable generation resources, power grids have become more susceptible to sub-synchronous resonance phenomena, especially to sub-synchronous control interaction, which produces fast-growing ... -
Autonomous landing of quadrotor on a moving UGV with the optimal control policies
(2020-12-01)This thesis proposes an offline method that uses an integral reinforcement learning (IRL) technique along with the system identification to determine the optimal control of a system with completely unknown dynamics. Unmanned ... -
CAR PLATE DETECTION USING REGION-BASED CONVOLUTIONAL NEURAL NETWORKS
(2020-12-07)Convolutional Neural Networks (CNN) comprise a deep learning technology which is widely used to perform image classification. In this research, we review CNN structures and explain how they can be used for finding license ... -
Distributed Resilient Control of Multi-agent Systems with Applications to Microgrids
(2020-08-03)Distributed cooperative control of multi-agent systems (MAS) has been an active research area over the last few decades. Distributed cooperative controller is locally designed using the neighborhood relative information. ... -
Structured Deep Learning: Theory and Applications
(2020-08-11)The increasing amount of data generation has boosted the broad range of research in big data and artificial intelligence. Besides the success of the deep learning in wide range of research area, it meets its pitfalls on ... -
EXPLORING IOT-BASED APPLICATIONS IN POWER SYSTEMS MONITORING, DEMAND SIDE MANAGEMENT AND PROTECTION
(2020-06-22)The Internet-of-Things (IoT) concept allows objects to share data through wired or wireless connections for communication purposes. Currently, IoT has been involved with the development of smart grids in many applications. ... -
NOVEL VIBRATIONAL ENERGY HARVESTERS UTILIZING PIEZOELECTRIC Li-DOPED ZnO NANOWIRES AND THE TRIBOELECTRIC EFFECT
(2020-06-24)Vibration sources are omnipresent everywhere in our regular lives including the automobiles, aircraft, human body motion, wind flow, and water waves. Vibrational energy harvesters are electromechanical systems that can ... -
HIGH-PERFORMANCE OPTIMIZATION METHODS FOR EMERGING POWER SYSTEMS
(2020-07-31)This dissertation investigates the applications of high performance optimization techniques for emerging power systems with augmented power electronics devices. One of the main sources of complexity in the analysis of power ... -
Design of Embedded Wireless Sensors for Real-Time and In-Situ Strain Sensing of Fiber Reinforced Composites
(DESTech, 2019)**Please note that the full text is embargoed** ABSTRACT: The increasing demand of early detection of barely visible damage inside fiber reinforced polymer (FRP) composites has led to the development of advanced microsensors ...