Electrical and Computer Engineering Commons^™

Improvement Of Electrical Properties Of Cmc-Pva Doped With Various Contents Of Lino3 As An Application For Hybrid Polymer Electrolytes, Amalia Zulkifli, Norfatihah Mazuki, Ahmad Salihin Samsudin

Makara Journal of Technology

The present work was carried out with the development of hybrid polymer electrolytes (HPEs) by using carboxymethyl cellulose (CMC)–polyvinyl alcohol (PVA) doped with different contents of lithium nitrate (LiNO3) for the determination of their structural and conduction properties. The structural analysis was conducted by using Fourier transform infra-red spectroscopy and showed the interaction between the blend host polymer and ionic dopant, which formed via the coordinating site of CMC-PVA and Li+-NO3−. The complexes of CMC-PVA doped LiNO3 led to an increment in ionic conductivity, as observed by electrical impedance spectroscopy, and the sample containing 20 wt% LiNO3 obtained the highest …

Macromodeling And Accelerated Simulations Of Electric Machines, Ajay Pratap Yadav

Electrical Engineering Dissertations - Archive

Electric machines are the most important element in the power grid. Given its centennial legacy and the rise of electric vehicles and distributed energy resources, it is imperative to bring new technologies into this area. This work tries to bridge the gap between electric machines and innovative research domains such as convex optimization and FPGA-based hardware acceleration. Problems of electric machine parameter identification and real-time simulation are considered. A convex optimization-based framework is designed to identify machine parameters. This tool is used to perform the macromodeling of a synchronous machine from its magnetic-equivalent circuit model. Furthermore, it is used to …

Space-Charge Limited Current In Planar And Cylindrical Crossed-Field Diodes Using Variational Calculus, Adam M. Darr, Ranajoy Bhattacharya, Jim Browning, Allen L. Garner

Electrical and Computer Engineering Faculty Publications and Presentations

No abstract provided.

Signal Fingerprinting And Machine Learning Framework For Uav Detection And Identification., Olusiji Oloruntobi Medaiyese

Electronic Theses and Dissertations

Advancement in technology has led to creative and innovative inventions. One such invention includes unmanned aerial vehicles (UAVs). UAVs (also known as drones) are now an intrinsic part of our society because their application is becoming ubiquitous in every industry ranging from transportation and logistics to environmental monitoring among others. With the numerous benign applications of UAVs, their emergence has added a new dimension to privacy and security issues. There are little or no strict regulations on the people that can purchase or own a UAV. For this reason, nefarious actors can take advantage of these aircraft to intrude into …

Multi-Player H1 Differential Game Using On-Policy And Off-Policy Reinforcement Learning, Peiliang An

Electrical Engineering Theses - Archive

This work studies a multi-player H-infinity differential game for systems of general linear dynamics. In this game, multiple players design their control inputs to minimize their cost functions in the presence of worst-case disturbances. We first derive the optimal control and disturbance policies using the solutions to Hamilton-Jacobi-Isaacs (HJI) equations. We then prove that the derived optimal policies stabilize the system and constitute a Nash equilibrium solution. Two integral reinforcement learning (IRL) -based algorithms, including the policy iteration IRL and o -policy IRL, are developed to solve the differential game online. We show that the off-policy IRL can solve the …

Wi-Fi-Based Indoor Localization Using Model-Based And Data-Driven Approaches, Ayoub Idelhaj

Electrical Engineering Theses - Archive

This thesis investigates model-based and data-driven approaches for indoor localization using the Received Signal Strength Indicator (RSSI) of Wi-Fi signals. We study multiple model-based indoor localization approaches, including the free space path loss model, the log-distance path loss model, the International Telecommunication Union (ITU) model, and a nonlinear regression model. We examine their indoor localization accuracy using raw RSSI values, and filter RSSI values passed through a Moving Average filter and a Kalman filter. For data driven approaches, we employ a family of Extreme Learning Machine (ELM) algorithms including Basic-ELM, Online Sequential-ELM (OS-ELM), Hierarchical-ELM (H-ELM), and Kernel-ELM (K-ELM), to find …

Downscaling Of Goes-16'S Land Surface Temperature Product Using Epitomes, Roberto Garcia

Open Access Theses & Dissertations

Land surface temperature (LST) is an environmental variable derived from thermal infrared (TIR) imagery. Satellite platforms are a good source of TIR imagery because of their ability to provide widespread and frequent coverage of the Earthâ??s surface. It is common that a single satellite remote sensing platform is able to provide images with good spatial resolution or temporal resolution but not both. LST is an important parameter for studies on the urban heat island (UHI) effect. These studies are limited by the spatial or temporal resolutions of available LST products. This Thesis presents an algorithm to estimate land surface temperature …

Hardware For Quantized Mixed-Precision Deep Neural Networks, Andres Rios

Open Access Theses & Dissertations

Recently, there has been a push to perform deep learning (DL) computations on the edge rather than the cloud due to latency, network connectivity, energy consumption, and privacy issues. However, state-of-the-art deep neural networks (DNNs) require vast amounts of computational power, data, and energyâ??resources that are limited on edge devices. This limitation has brought the need to design domain-specific architectures (DSAs) that implement DL-specific hardware optimizations. Traditionally DNNs have run on 32-bit floating-point numbers; however, a body of research has shown that DNNs are surprisingly robust and do not require all 32 bits. Instead, using quantization, networks can run on …

Design And Analysis Of A Single-Stage Inverter Using Parallel Dc-Dc Converters For Solar Cell Application, Gabriel Leonides

Master's Theses

This thesis introduces the design and analysis of a single-stage inverter. A circuit was designed and simulated as a proof of concept to investigate the possibility of using boost and buck-boost converters to provide an AC output. The proposed circuit utilizes non-synchronous boost and buck-boost converters due to their simplicity in control signals as opposed to synchronous converters. The application of the proposed inverter is for use with individual solar cells. The aim of the inverter for a single cell is to improve the efficiency of a solar panel, whose performance is limited to the performance of the least efficient …

Wavelength And Power Dependence On Multilevel Behavior Of Phase Change Materials, Gary A. Sevison, Joshua A. Burrow, Haiyun Guo, Andrew M. Sarangan, Joshua R. Hendrickson, Imad Agha

Electro-Optics and Photonics Faculty Publications

We experimentally probe the multilevel response of GeTe, Ge2Sb2Te5 (GST), and 4% tungsten-doped GST (W-GST) phase change materials (PCMs) using two wavelengths of light: 1550 nm, which is useful for telecom-applications, and near-infrared 780 nm, which is a standard wavelength for many experiments in atomic and molecular physics. We find that the materials behave differently with the excitation at the different wavelengths and identify useful applications for each material and wavelength. We discuss thickness variation in the thin films used as well and comment on the interaction of the interface between the material and the substrate with regard to the …

Characterization Of Wide-Bandgap Sic Field Effect Transistors And Their Active Gate Driving Circuit In High Power Applications, Arijit Sengupta

Legacy Theses & Dissertations (2009 - 2024)

Silicon Carbide (SiC) devices are slowly becoming one of the most reliable choices for high power density, high switching frequency applications with higher efficiency than Gallium Nitride (GaN) and Silicon (Si) devices. For a wide range of applications, such as Electric Motor Drives, Switching Power Supplies, and Renewable Energy Circuits, SiC devices are being tested and are found to yield prominent results.In this research, the characterization of two similarly rated commercially available SiC devices - a trench Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) and a cascoded Junction Field Effect Transistor (JFET) are done. It is followed by a comparative analysis of both …

Impact Of Long-Term Annealing On Photoluminescence From Ge1-XSnX Alloys, Oluwatobi Olorunsola, Hryhorii Stanchu, Solomon Opeyemi Ojo, Krishna Pandey, Abdulla Said, Joe Margetis, John Tolle, Adrian V. Kuchuk, Yuriy I. Mazur, Gregory J. Salamo, Shui-Qing Yu

Electrical Engineering Faculty Publications and Presentations

We report on the connection between strain, composition, defect density and the photoluminescence observed before and after annealing at 300 °C for GeSn samples with Sn content of 8% to 10%. Results show how the composition and level of strain influenced the separation between the indirect and direct optical transitions, while changes in the level of strain also influenced the density of misfit dislocations and surface roughness. The effect of annealing is observed to lower the level of strain, decreasing the energy separation between the indirect and direct optical transitions, while also simultaneously increasing the density of misfit/threading dislocations and …

Adaptive Activations And Shift Invariance In Shallow Convolutional Neural Networks, Chinmay Appa Rane

Electrical Engineering Dissertations - Archive

Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge success with resnet structures having around 152 layers. Shallow convolution neural networks(CNN's) are still an active research, where some phenomena are still unexplanined. CNN's are assumed to be invariant to shift due to its architecture, but recent studies have shown other wise. Apart from shift invariance, activation functions used in the network are of utmost importance, as they provide non linearity to the networks. Relu's are the most commonly used activation function. …

The Development Of Micro-Gas Chromatography System With Integrated Photonic Crystal Sensors, Priyanka Biswas

Electrical Engineering Dissertations - Archive

Miniaturization of gas chromatography (GC) systems have made it possible to utilize the analytical technique in on-site applications without having to compromise data reliability offered by the conventional benchtop GC. Various types of miniaturized microsensors and nanosensors have been developed for a micro-gas chromatography (µGC) system. However, integration of an appropriate detector in µGC systems still face significant challenge. We present a solution to the problem through integration of µGC with photonic crystal slab (PCS) sensors using transfer printing technology. This integration offers an opportunity to utilize the advantages of optical sensors such as high sensitivity, immunity to electromagnetic interference, …

New Infeed Correction Methods For Distance Protection In Distribution Systems, Fahd Hariri, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

The reliability and security of power systems may be jeopardized by the increase in the amounts of renewable generation and the uncertainties produced by these devices. In particular, the protection schemes of traditional power systems have been challenged by the integration of distributed generation (DG) resources. Distance relays (DRs), which have been mainly employed to protect transmission systems, are increasingly proposed as one of the solutions to protect distribution systems with a heavy penetration of DGs. However, conventional distance protection faces several drawbacks that might lead to maloperation. One of those challenges is the "infeed effect", which causes the impedance …

Intelligent System For Laparoscopic Surgery Suturing Skill Assessment, Mohammed Yasser Al-Gailani

Dissertations

In laparoscopic surgery, which is also referred to as minimally invasive surgery (MIS), surgeons carry out surgical procedures with the assistance of a video camera and several surgical instruments. Laparoscopic surgeons should possess excellent eye-hand coordination capabilities, strong cognitive knowledge, case and problem management, and manual dexterity skills. Such skills can be acquired through simulation using a basic, low-fidelity setup, such as the surgical box-trainer. General surgeons must pass a set of tests on a Fundamentals of Laparoscopic Surgery (FLS) Trainer device.

One pivotal skill for a successful operation is developing a sense of the applied forces on the tissue …

Control Of Series Connected Battery Powered Modules, Joshua K. Wooten

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Batteries are a very common type of power source used for all sorts of applications. However, these batteries do not last forever. The purpose of this thesis is to explain and implement a strategy which allows batteries to have a second life; to be able to be re-charged and re-used for another set period of time once they no longer meet a system’s requirements. The preferable way to do this is to make each cell have the same state of charge (SOC) which will lead to a longer lasting battery pack. These batteries will be hooked up to a battery …

Analysis And Design Of 3-Phase Unfolding Based Ac-Dc Battery Chargers, Rees R. Hatch

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This thesis presents the analysis and design of high-efficiency battery chargers for heavy duty EV applications. The rise in popularity of the electric vehicles (EVs) due to their increased efficiency over conventional internal combustion engines, has driven the need for more battery charging infrastructure. Furthermore, heavy duty vehicles are also being converted to electric to fill needs such as public transportation via bus fleets as well as cargo delivery via semi-trucks. Such heavy duty vehicles require more energy than personal transportation vehicles and thus require larger battery packs. To charge heavy duty battery packs in the same amount of time …

Analysis Of Microscopic Objects Using Computer Vision Methods, Yuan Dao

UNLV Theses, Dissertations, Professional Papers, and Capstones

As an essential and powerful tool to observe living organisms, three-dimensional fluorescence microscopy is widely used in biological research and diagnosis. The 4D fluorescence microscopy data can be obtained using time-lapsed videos of 3D images. To analyze and extract useful information from the increasingly large and complex biological image dataset, efficient and effective computational tools are in need but still lagging behind. In analyzing biological data, two major challenges are faced. First, time-lapsed fluorescence microscopic images typically have a low SNR. Second, biological objects often change their morphology and internal structure frequently. As such, conventional image processing methods may not …

Forecasting Pedestrian Trajectory Using Deep Learning, Arsal Syed

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this dissertation we develop different methods for forecasting pedestrian trajectories. Complete understanding of pedestrian motion is essential for autonomous agents and social robots to make realistic and safe decisions. Current trajectory prediction methods rely on incorporating historic motion, scene features and social interaction to model pedestrian behaviors. Our focus is to accurately understand scene semantics to better forecast trajectories. In order to do so, we leverage semantic segmentation to encode static scene features such as walkable paths, entry/exits, static obstacles etc. We further evaluate the effectiveness of using semantic maps on different datasets and compare its performance with already …

Study And Design Of Array And Beamsteering Antennas For Millimeter Wave Band Application, Saeideh Shad

Boise State University Theses and Dissertations

Millimeter wave (mmWave) communication systems have attracted significant interest regarding supporting high data rate of Gigabit/s communications for the new generation of wireless communication networks. MmWave communication systems have frequency ranges in between 30 and 300 GHz wherein an enormous amount of unused bandwidth is available. Although the available bandwidth of mmWave frequencies is promising for high data rate communications, the propagation characteristics of mmWave frequencies are significantly different from microwave frequency band in terms of path loss, diffraction and blockage, and atmospheric absorption. In general, the overall losses of mmWave signals are significantly larger than that of microwave signals …

Industrial Control System Data Resiliency, Daniel A. Bovard

Boise State University Theses and Dissertations

This thesis identifies and fortifies against a critical vulnerability in industrial control system (ICS) security. A properly designed ICS security framework consists of a multi-layered approach starting with heavy fortifications in information technology and ending with control information of operational technology. Currently, ICS security frameworks lack visibility and place blind trust in devices at the lowest level of the control hierarchy. Attaining control data visibility at the lowest level of the control hierarchy is critical to increasing the resiliency of an ICS security posture. This thesis demonstrates how this data can be captured at the lowest level of the control …

Spectrum Sharing And Interference In Smart Homes, Biswajit Kumar Dash

Theses and Dissertations

Internet of Things networks using Zigbee are very popular in smart homes. However, Zigbee networks are vulnerable to the interference of Wi-Fi networks because they share the same 2.4 GHz Industrial, Scientific, and Medical radio frequency band. Studies have shown that weaker Zigbee signals might be significantly interfered by stronger Wi-Fi signals. This type of interference may cause severe problems when these types of networks coexist in an indoor environment such as in a smart home. In this thesis, the performance of a Zigbee network with and without the presence of a Wi-Fi network has been evaluated in …

Improving Demand Response Strategies Utilizing Data Collected By Industrial Assessments To Reduce Cost For Users, Monsur Habib

Theses and Dissertations

Demand Response Programs have the potential to incentivize users to modify their electricity consumption pattern based on their given price and any bonuses that come along with it. Through the effective utilization of renewable sources and energy storage devices, household electricity bills can be reduced since the consumption of electricity during high price periods can be replaced by either renewable resources or electricity from energy storage devices. The balancing of energy demand and generation using the latest management technologies is considered as an immediate requirement to improve the operation of electrical distribution networks and peak demand management. Many Independent system …

The Cyber Security Evaluation Of A Wireless And Wired Smart Electric Meter, Patrick Nnaji

Theses and Dissertations

In this thesis, an Experimental cyber security evaluation of Wireless Smart Electric Meter has been performed under cyber security attacks. The security integrity of data collection from EPM 6100 Power Quality Wireless Smart Electric Meter under a wireless cyber-attack was evaluated. After which the security integrity of data collection from the same Wireless Smart Electric Meter was evaluated under a different configuration. In this Thesis, we tested three different smart meters for their connectivity under different cybersecurity attacks. We compared the security integrity of the three different smart meters to measure their response under different cybersecurity attacks.

Investigation Of The Effect Of Process Parameters By Taguchi Method On Structural And Electrical Properties Of Rf Magnetron Sputtered Sio2 & Psi On Si Substrate, Sajid Mahfuz Uchayash

Theses and Dissertations

In this work, Taguchi Signal-to-noise (S/N) analysis was applied to investigate the effect of varying three process parameters, namely- sputtering power, working pressure and Ar gas flow rate on the surface, morphological and electrical properties of the RF sputtered SiO2 and Boron doped pSi over Si substrate. The contribution of a particular process parameter on these properties was also inspected by applying Analysis of Variance (ANOVA). SiO2 and pSi thin films were fabricated over Si substrate using RF magnetron sputtering system. Three sets of inputs for the three mentioned process parameters were chosen for sputtering SiO2 and pSi thin films. …

Effect Of Deposition Conditions On Properties Of Molybdenum Back Electrode For Cu(In,Ga)Se2 Solar Cell And Cu(In,Ga)Se2 Performance Analysis Through Numerical Simulation, Meah Imtiaz Zulkarnain

Theses and Dissertations

In the first part of this research, the effect of the deposition conditions on properties of molybdenum thin-film were investigated to achieve desired characteristics for its application as the back electrode of Cu(In,Ga)Se2 solar cell. DC and RF magnetron sputtering modes were employed and two sputtering parameters namely, working pressure and sputtering power, were varied to determine the sputtering mode and the sputtering conditions best suited for Mo thin-films having required properties. Sputtered Mo samples were characterized to determine their structural and mechanical properties such as preferred growth orientation, crystallinity, grain size, dislocation density, adhesion, and micro strain, and electrical …

High Voltage Dc-Dc Converter Design For Submarine Application, Oscar Ambriz

Master's Theses

In this work a proof of concept for a step-down DC-DC converter used in a high voltage submarine application is presented. The purpose of the converter is to step down a 5000V-6000V input to a 24V output which can serve as an input to a submarine sensor. The completed system consists of two stages where the first stage is an unregulated switched capacitor converter to step down the initial input to a voltage range more appropriate for the selected second stage. The second stage is a regulated flyback converter topology which regulates the final output to the desired 24V. Performance …

Knn Based Piezo-Triboelectric Lead-Free Hybrid Energy Films, Abu Masa Abdullah, Muhtasim Ul Karim Sadaf, Farzana Tasnim, Horacio Vasquez, Karen Lozano, M. Jasim Uddin

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

In recent times, the triboelectric and piezoelectric effects have garnered significant attention towards developing advanced material composites for energy harvesting and sensory applications. In this work, potassium sodium niobate (KNN) based energy films (EF) have been developed to utilize mechanical energy while simultaneously taking advantage of triboelectric and piezoelectric mechanisms. The KNN particles were synthesized using a wet ball milling technique and then incorporated into a polyvinylidene difluoride (PVDF) matrix together with addition of multi wall carbon nanotubes (MWCNT). The film was used to develop a piezoelectric nanogenerator (PENG) fitted with copper electrodes. The piezoelectric output of the film was …

Non-Invasive In-Vitro Glucose Monitoring Using Optical Sensor And Machine Learning Techniques For Diabetes Applications, Maryamsadat Shokrekhodaei

Open Access Theses & Dissertations

Diabetes is a major public health challenge affecting more than 451 million people. Physiological and experimental factors influence the accuracy of non-invasive glucose monitoring, and these need to be addressed before replacing the finger prick method with a non-invasive glucose measurement technique. Also, the suitable employment of machine learning techniques on experimental data can significantly improve the accuracy of glucose predictions.

This work includes the design, development, testing and data analysis of an optical based sensor for glucose measurements. The feasibility of non-invasive measurement of glucose within aqueous solutions that assimilate the composition of human blood plasma is investigated. The …