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Articles 1 - 17 of 17
Full-Text Articles in Engineering
Passive Wireless Corrosion And Temperature Detection In High-Temperature Environments, Noah Lane Strader
Passive Wireless Corrosion And Temperature Detection In High-Temperature Environments, Noah Lane Strader
Graduate Theses, Dissertations, and Problem Reports
This work focuses on the theory and development of LC sensors for high temperature and corrosion measurement for stainless steel and copper surfaces with power industry and general corrosion detection applications. The LC resonators were fabricated via screen printing an Ag inductor on an alumina substrate. The LC design was modeled using the ANSYS HFSS modeling package. The LC passive wireless sensors operate with resonant frequencies centered at 85-110 MHz. The wireless response of the LC sensor was interrogated and received by a radio frequency signal generator and spectrum analyzer at temperatures from 50-800 °C for copper ground planes and …
Enhancing 5g Fixed Wireless Access In Rural Settings Via Machine Learning-Driven Resource Optimization, Maryam Amini
Enhancing 5g Fixed Wireless Access In Rural Settings Via Machine Learning-Driven Resource Optimization, Maryam Amini
Graduate Theses, Dissertations, and Problem Reports
Providing broadband access to rural communities continues to be an important societal problem whose solution would help to break down the digital divide. While 5G wireless networks may be used for rural broadband, a key challenge is the placement of base stations, which is exacerbated by the use of high frequencies in the millimeter-wave band. Such technology requires an unobstructed line of sight, demanding meticulous planning of the number, height, and location of base stations for optimal coverage. Conventional methods, such as ray-tracing to simulate signal propagation across varied terrain, are computational costly and not feasible for vast coverage areas. …
Ai-Driven Security Constrained Unit Commitment Using Predictive Modeling And Eigen Decomposition, Talha Iqbal
Ai-Driven Security Constrained Unit Commitment Using Predictive Modeling And Eigen Decomposition, Talha Iqbal
Graduate Theses, Dissertations, and Problem Reports
Security Constrained Unit Commitment (SC-UC) is a complex large scale mix integer constrained optimization problem solved by Independent System Operators (ISOs) in the daily planning of the electricity markets. After receiving offers and bids, ISOs have only few hours to clear the day-ahead electricity market. It requires a lot of computational effort and a reasonable time to solve a large-scale SC-UC problem. However, exploiting the fact that a UC problem is solved several times a day with only minor changes in the system data, the computational effort can be reduced by learning from the historical data and identifying the patterns …
Modeling Of Inverter-Based Microgrid For Small-Signal And Large-Signal Stability Analysis, Vishal Verma
Modeling Of Inverter-Based Microgrid For Small-Signal And Large-Signal Stability Analysis, Vishal Verma
Graduate Theses, Dissertations, and Problem Reports
Integration of inverter-based resources (IBRs) such as solar photovoltaic, wind, and battery storage, is both a boon and a bane for electric power systems. On one hand, IBRs have helped in making electrical energy a clean (carbon-free) source of energy. On other hand, the dynamics of IBRs have changed the way power system studies have been carried out. With the advantages IBRs offer over conventional resources, it is assumed that a small distribution power system (microgrid) will have a 100% IBRs penetration in the future. Such a microgrid can operate in grid-connected mode or in an islanded mode. Both modes …
An Analysis On Adversarial Machine Learning: Methods And Applications, Ali Dabouei
An Analysis On Adversarial Machine Learning: Methods And Applications, Ali Dabouei
Graduate Theses, Dissertations, and Problem Reports
Deep learning has witnessed astonishing advancement in the last decade and revolutionized many fields ranging from computer vision to natural language processing. A prominent field of research that enabled such achievements is adversarial learning, investigating the behavior and functionality of a learning model in presence of an adversary. Adversarial learning consists of two major trends. The first trend analyzes the susceptibility of machine learning models to manipulation in the decision-making process and aims to improve the robustness to such manipulations. The second trend exploits adversarial games between components of the model to enhance the learning process. This dissertation aims to …
Re-Design Of Precision Signal Conditioning Circuit For Detecting Schumann Resonance, Rohith Bikkina
Re-Design Of Precision Signal Conditioning Circuit For Detecting Schumann Resonance, Rohith Bikkina
Graduate Theses, Dissertations, and Problem Reports
Extremely low frequencies signals are waves between 3 to 30Hz and corresponding wavelengths between 10,000 to 100,000 kilometers. The specific signals used here are generated from lightning and are excited at frequencies around 8Hz, 14Hz, 20Hz. These are often called Schumann Resonance frequencies. Several stations have been built around the world for identifying ELF waves. All of those required a sparsely populated area that was far away from electric power lines because of interference from electric noise at 50 Hz and 60Hz. This project develops and tests an amplifier and filter circuit that should assist in identifying the Schumann Resonance …
Consensus Based Control Strategy For Virtual Synchronous Generators In Microgrids, Anusha Kandula
Consensus Based Control Strategy For Virtual Synchronous Generators In Microgrids, Anusha Kandula
Graduate Theses, Dissertations, and Problem Reports
Renewable energy sources such as photo-voltaic and wind energy are integrating very rapidly in power systems. These energy-based systems typically adopt power-electronic interfaced inverters to connect to the grid. However, unlike traditional generators, these sources have low inertia, resulting in system stability issues, especially in microgrids where they are the primary sources. To mitigate the low-inertia effect, the inverters are modeled as virtual synchronous generators (VSG), and their control is designed. The VSG emulates the inertia effect of the synchronous generator and maintains the stability of the system. Even though the droop control provides the primary control, it is insufficient …
Analysis Of Millimeter-Wave Networks: Blockage, Antenna Directivity, Macrodiversity, And Interference, Enass Hriba
Analysis Of Millimeter-Wave Networks: Blockage, Antenna Directivity, Macrodiversity, And Interference, Enass Hriba
Graduate Theses, Dissertations, and Problem Reports
Due to its potential to support high data rates at low latency with reasonable interference isolation because of signal blockage at these frequencies, millimeter-wave (mmWave) communications has emerged as a promising solution for next-generation wireless networks. MmWave systems are characterized by the use of highly directional antennas and susceptibility to signal blockage by buildings and other obstructions, which significantly alter the propagation environment. The received power of each transmission depends on the direction the corresponding antennas point and whether the signal’s path is line-of-sight (LOS), non-LOS (i.e., partially blocked), or completely blocked. A key challenge in modeling blocking in mmWave …
Deep Models For Improving The Performance And Reliability Of Person Recognition, Sobhan Soleymani
Deep Models For Improving The Performance And Reliability Of Person Recognition, Sobhan Soleymani
Graduate Theses, Dissertations, and Problem Reports
Deep models have provided high accuracy for different applications such as person recognition, image segmentation, image captioning, scene description, and action recognition. In this dissertation, we study the deep learning models and their application in improving the performance and reliability of person recognition. This dissertation focuses on five aspects of person recognition: (1) multimodal person recognition, (2) quality-aware multi-sample person recognition, (3) text-independent speaker verification, (4) adversarial iris examples, and (5) morphed face images. First, we discuss the application of multimodal networks consisting of face, iris, fingerprint, and speech modalities in person recognition. We propose multi-stream convolutional neural network architectures …
Floating-Gate Design And Linearization For Reconfigurable Analog Signal Processing, Steven Michael Andryzcik Ii
Floating-Gate Design And Linearization For Reconfigurable Analog Signal Processing, Steven Michael Andryzcik Ii
Graduate Theses, Dissertations, and Problem Reports
Analog and mixed-signal integrated circuits have found a place in modern electronics design as a viable alternative to digital pre-processing. With metrics that boast high accuracy and low power consumption, analog pre-processing has opened the door to low-power state-monitoring systems when it is utilized in place of a power-hungry digital signal-processing stage. However, the complicated design process required by analog and mixed-signal systems has been a barrier to broader applications. The implementation of floating-gate transistors has begun to pave the way for a more reasonable approach to analog design. Floating-gate technology has widespread use in the digital domain. Analog and …
Synthesis Of Graphene Using Plasma Etching And Atmospheric Pressure Annealing: Process And Sensor Development, Andrew Robert Graves
Synthesis Of Graphene Using Plasma Etching And Atmospheric Pressure Annealing: Process And Sensor Development, Andrew Robert Graves
Graduate Theses, Dissertations, and Problem Reports
Having been theorized in 1947, it was not until 2004 that graphene was first isolated. In the years since its isolation, graphene has been the subject of intense, world-wide study due to its incredibly diverse array of useful properties. Even though many billions of dollars have been spent on its development, graphene has yet to break out of the laboratory and penetrate mainstream industrial applications markets. This is because graphene faces a ‘grand challenge.’ Simply put, there is currently no method of manufacturing high-quality graphene on the industrial scale. This grand challenge looms particularly large for electronic applications where the …
Interoperability Of Ip-Based Cameras, Faythe C. Maston
Interoperability Of Ip-Based Cameras, Faythe C. Maston
Graduate Theses, Dissertations, and Problem Reports
In this day and age of advancing technology and increasing crime, more and more citizens are investing in technology to increase their personal security. One such technology is the use of home-based IP security systems. These systems are comprised of one or more IP-based security cameras with owners preferring to have a way to view all camera feeds at once. Since not all security cameras are made to interact with each other, it is necessary to find a program that allows a user to view all security cameras at once, regardless of what brand of cameras they use. After researching, …
Programming Of Floating-Gate Transistors For Nonvolatile Analog Memory Array, Haifa Abulaiha
Programming Of Floating-Gate Transistors For Nonvolatile Analog Memory Array, Haifa Abulaiha
Graduate Theses, Dissertations, and Problem Reports
Since they were introduced, floating-gate (FG) transistors have been used as non-volatile digital memory. Recent research has shown that floating-gate transistors can be successfully used as analog memory, specifically as programmable voltage and current sources. However, their proliferation has been limited due to the complex programming procedure and the complex testing equipment. Analog applications such as field-programmable analog arrays (FPAAs) require hundreds to thousands of floating-gate transistors on a single chip which makes the programming process even more complicated and very challenging. Therefore, a simplified, compact, and low-power scheme to program FGs are necessary. This work presents an improved version …
Rail-To-Rail Operational In Low-Power Reconfigurable Analog Circuitry, Jared Dale Baker
Rail-To-Rail Operational In Low-Power Reconfigurable Analog Circuitry, Jared Dale Baker
Graduate Theses, Dissertations, and Problem Reports
Analog signal processing (ASP) can be used to decrease energy consumption by several orders of magnitude over completely digital applications. Low-power field programmable analog arrays (FPAA) have been previously used by analog designers to decrease energy consumption. Combining ASP with an FPAA, energy consumption of these systems can be further reduced. For ASP to be most functional, it must achieve rail-to-rail operation to maintain a high dynamic range. This work strives to further reduce power consumption in reconfigurable analog circuitry by presenting a novel data converter that utilizes ASP and rail-to-rail operation. Rail-to-Rail operation is achieved in the data converter …
Low-Power Reconfigurable Sensing Circuitry For The Internet-Of-Things Paradigm, Alexander Dilello
Low-Power Reconfigurable Sensing Circuitry For The Internet-Of-Things Paradigm, Alexander Dilello
Graduate Theses, Dissertations, and Problem Reports
With ubiquitous wireless communication via Wi-Fi and nascent 5th Generation mobile communications, more devices -- both smart and traditionally "dumb" -- will be interconnected than ever before. This burgeoning trend is referred to as the Internet-of-Things. These new sensing opportunities place a larger burden on the underlying circuitry that must operate on finite battery power and/or within energy-constrained environments. New developments of low-power reconfigurable analog sensing platforms like field-programmable analog arrays (FPAAs) present an attractive sensing solution by processing data in the analog domain while staying flexible in design. This work addresses some of the contemporary challenges of low-power wireless …
Design And Implementation Of Overcurrent Protection Relays Test Bench, Khalid Daud Khattak
Design And Implementation Of Overcurrent Protection Relays Test Bench, Khalid Daud Khattak
Graduate Theses, Dissertations, and Problem Reports
The electrical power simulator in Engineering Sciences Building (ESB) at WVU was dismantled in July 2018. The simulator was used as a teaching tool for EE students to conduct lab experiments. The power simulator employed electromechanical and microprocessor protection relays, manual isolation and industrial circuit breakers, switches, variable autotransformer (VARIAC), voltmeters and ammeters. During the dismantling, a lot of equipment was retrieved for future possible use. This led to the idea of designing and implementing a simple circuit on a test bench that can be used as a lab equipment to demonstrate the operation of overcurrent protection relays. It was …
Low Power Voltage Reference Cells For Sensing Applications, Kody Ray Tucker
Low Power Voltage Reference Cells For Sensing Applications, Kody Ray Tucker
Graduate Theses, Dissertations, and Problem Reports
Two low-power voltage reference cells for a system on-chip design are presented in this report. Both cells utilize a combination of standard transistors to produce an output voltage near 1 volt. Choosing the appropriate design procedures can aid in minimizing the temperature coefficient (TC) of the output reference voltage coming out of the cell. One circuit, covered first, is currently being fabricated on a standard 0.5 µm chip complementary metal oxide semiconductor (CMOS) process, while the other is still in the designing stage. The first one has a TC of 86 ppm/◦C with a reference voltage of 1.10 V while …