Electrical and Computer Engineering Commons^™

Design And Fabrication Of A Microstrip Bandpass Filter In Ltcc, Allison Rucker

Electrical Engineering Undergraduate Honors Theses

The goal of the project was to design and fabricate a bandpass filter with a center frequency of 25GHz with a 2GHz bandwidth. The first step was to do the calculation to design a bandpass filter to meet these specifications along with the properties of the Dupont^TM GreenTape^TM 9K7. HFSS was then used to verify the results from the initial calculations. There was a significant error between the two results, so more tweaking was done to the calculations to get a better center frequency. After a final design was decided, the fabrication process started. Low-Temperature Co-Fired Ceramics (LLTC) …

Data Forgery Detection In Automatic Generation Control: Exploration Of Automated Parameter Generation And Low-Rate Attacks, Yatish R. Dubasi

Computer Science and Computer Engineering Undergraduate Honors Theses

Automatic Generation Control (AGC) is a key control system utilized in electric power systems. AGC uses frequency and tie-line power flow measurements to determine the Area Control Error (ACE). ACE is then used by the AGC to adjust power generation and maintain an acceptable power system frequency. Attackers might inject false frequency and/or tie-line power flow measurements to mislead AGC into falsely adjusting power generation, which can harm power system operations. Various data forgery detection models are studied in this thesis. First, to make the use of predictive detection models easier for users, we propose a method for automated generation …

Transimpedance Amplification Of Optocoupler Output For High Temperature Applications, Kara Maurer

Electrical Engineering Undergraduate Honors Theses

When looking to the future of electronics, one characteristic is becoming more lucrative: high temperature capabilities. With the goals of not only becoming more efficient electronically, spatially, and cost-wise, adapting electronics for a high temperature environment can potentially be a route to all three of these goals. Not only does it take away the need for a cooling method, but it can also increase the longevity of a product which can make it even more cost effective. In an effort to contribute to the push for high temperature electronics, the University of Arkansas is developing a high temperature power module …

Optoelectronic Valley-Spin Qubits With Ambipolar Quantum Dots, Jeremy Tull

Electrical Engineering Undergraduate Honors Theses

The current limitations of qubit-based processors are caused by imperfections in quantum gates, leading to a lack of gate fidelity. Gate fidelity can be refined by extending the coherence of qubits and reducing logic operation speed. A potential solution is to develop a hybrid qubit that has the coherence of electrically-controlled quantum dots and the gate speed of their optically-controlled counterparts. Quantum bits that utilize ultrafast optical gating to perform gate operations require precise control of the gating pulse duration. Optical dispersion can cause adverse effects pulse duration, such as pulse broadening, so dispersion-compensation techniques must be employed; by properly …

Ironless, Axial Flux, Electric Bldc Motor For Aircraft Electric Propulsion, Kevin W. Hobbs

Electrical Engineering Undergraduate Honors Theses

3D printing has shown much promise as a method of rapidly manufacturing lightweight ironless motors to meet the growing demand that airlines have for more cost-effective products that reduce emissions and flight prices. 3D-printed ironless, axial flux, electric BLDC motors would meet these needs with both their high efficiency and power density.

A Halbach array motor was designed and 3D-printed for the analysis of its magnetic properties to gain more insight about it performance. Fusion 360 was used to design the 3D drawings of the motor parts. The rotor, stator, and stator mount were designed to accommodate the sizes of …

An Examination Of Grid Stability As It Relates To The Increased Integration Of Inverter-Based Resources, Daniel Voss

Electrical Engineering Undergraduate Honors Theses

There is currently a growing interest in increasing the amount of renewable energy resources connected to the bulk electric system (BES) that stems from various environmental, political, and social concerns. However, the differences between conventional generation resources and inverter-based resources (IBR)—namely wind and solar—pose new issues that make this increased integration a larger problem. In other studies, the increased penetration of renewable energy resources has resulted in weak-grid systems that are more susceptible to collapse. This comes as a result from the inability for IBRs to effectively provide enough reactive power, an effect especially apparent during fault conditions, which the …

Effect Of Silicon Carbide On Electric Drivetrains Of Heavy-Duty Vehicles, Haley Solera

Electrical Engineering Undergraduate Honors Theses

The application of electro-mechanical motors in rigorous, high-temperature systems is constantly adapting to suit the growing needs of developers in the automotive, construction, and aerospace industries. With improved efficiency, torque, and environmental impact over conventional internal combustion engines, electric drive trains pose more than ample incentive for manufacturers to invest considerable resources toward the design of newer, better methods of electric propulsion. This paper discusses the motives behind the electrification of heavy-duty vehicles, the state-of-the-art technology currently available on the market, and the novel application of silicon carbide to electric drive trains as a means of increasing their heat tolerance, …

Stand-Alone Direct Current Power Network Based On Photovoltaics And Lithium-Ion Batteries For Reverse Osmosis Desalination Plant, Vishwas Powar, Rajendra Singh

Publications

Plummeting reserves and increasing demand of freshwater resources have culminated into a global water crisis. Desalination is a potential solution to mitigate the freshwater shortage. However, the process of desalination is expensive and energy-intensive. Due to the water-energy-climate nexus, there is an urgent need to provide sustainable low-cost electrical power for desalination that has the lowest impact on climate and related ecosystem challenges. For a large-scale reverse osmosis desalination plant, we have proposed the design and analysis of a photovoltaics and battery-based stand-alone direct current power network. The design methodology focusses on appropriate sizing, optimum tilt and temperature compensation techniques …

Automatic System Restoration For Industrial Power Systems, Anusha Papasani

Electrical Engineering Dissertations - Archive

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 and speedy recovery. In traditional heuristic methods, the load is considered to be constant after it is picked. However, from a system operation point of view, the load varies once picked. This is commonly observed in industrial loads. In Industrial systems, loads, which involve many induction motors, are started in sequence. The high starting currents of the induction motors leads to voltage sags that may …

Resource Allocation And Capacity In Wireless Communications And Networks, Zikai Wang

Electrical Engineering Dissertations - Archive

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 from the smartphone usage often contains rich customer opinion and behavioral information. A bandwidth allocation method based on smartphone users' personality traits and channel condition is studied in a unified mathematical framework in this dissertation. Personalizing bandwidth allocation could be done by analyzing smartphone users' personality traits, resulting in business intelligence, a smarter and more efficient usage of the limited bandwidth, while taking channel fading conditions …

Dynamic Equivalent Wind Farm Models For Planning, Operation, And Post-Fault Analyses, Yuhao Zhou

Electrical Engineering Dissertations - Archive

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) contains many parameter and control loops, it’s impractical to apply such detailed high-order model of individual wind turbine for dynamic stability analysis due to its computational burden and availability of the data. Therefore, there’s a need for deriving the dynamic equivalent model (DEM) for the wind farm. In the real world, a wind farm may contain different types of WGs coming from different manufactures/vendors with …

Beamforming Using Quasi Optical Approach For 5g Backhaul, Pratik Ghate

Electrical Engineering Dissertations - Archive

A new method is proposed for quasi optical beamforming that will enhance performance of emerging systems such as broad deployment of 5G backhaul communications, Internet of Things (IOT), vehicular networking systems, and unmanned aerial navigation systems. It is a promising approach at higher frequencies to reduce the size, cost and improve efficiency of the beamforming operation. In this investigation candidate lens type structures are designed, studied, and analyzed using different configurations of dielectric wedges, plano-concave lens and dielectric slabs. These structures have cost, power consumption, size, weight, and bandwidth advantages, and are expected to be able to operate to higher …

Direct Drive Solar Panel Control Circuit, Marcorios Bekheit

Physics

A control circuit is built for insulated solar electric cookers (ISEC). Power delivery and temperature safety are the focus. Using a maximum power point tracking (MPPT) algorithm, Arduino Nano, voltage and current sensors, and a buck converter, the solar panel’s output power was maximized for a direct load heat resistor with 3.5Ω for a range of solar intensities. Using a resistance temperature detector, a temperature sensor is built for safety shutoff.

Nonlinear And Quantum Optics In Few-Mode-Fibers, Afshin Shamsshooli

Electrical Engineering Dissertations - Archive

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 increasing the number of modes over which the single-photon or entangled states are transmitted, for subsequent use in. quantum communication, computing, or information processing. Entanglement in multiple degrees of freedom, e.g., in polarization, frequency, time-bin, and spatial modes has a potential for carrying larger amounts of quantum information. In this project, we explore spatial modes in the few-mode fiber for generation and processing …

Analysis And Control Of Parallel And Series Connected Modular Battery Systems, Mohamed Kamel

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Lithium-ion (Li-ion) battery technology plays a major role in modern power applications. However, intrinsic technology limitations require a battery management system (BMS) to ensure all Li-ion cells’ safety. Moreover, high-power and high-voltage applications utilize several parallel, and series connected cells, forming a large battery pack that results in unavoidable cell mismatches. Therefore, large battery packs employ cell balancing circuits, where the BMS controls their operation. Furthermore, a central power electronics converter interfaces the battery pack to the high-voltage DC rail, reducing the system’s reliability. A battery power module (BPM) has emerged as an individual battery cell connected across a low-power …

Development Of Rf-Mems Based Passive Wireless Respiratory Monitoring Systems, Sina Moradian

Electronic Theses and Dissertations, 2020-2023

This dissertation explores the application of high frequency, low loss, high quality factor thin-film piezoelectric MEMS resonators as passive wireless respiratory monitoring sensors. In this work we build on advances in RF MEMS technology and wearables to develop a respiratory monitoring system capable of measuring respiration without any on-board circuitry and battery First, a wireless MEMS-based respiration sensor that operates without a battery or any on-board circuitry is presented. The sensing system is made up two major components, the wireless sensor and a base transceiver and computational unit. The sensor is only made of up of two RF-MEMS resonators and …

Unsupervised Data Driven Machine Learning In Hyperspectral Imaging And Echocardiography Videos, Kazi Tanzeem Shahid

Electrical Engineering Dissertations - Archive

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 in a linear manner. However, higher accuracy was established by implementing kernel-based expressions of data to express the non-linear relationship of that data in a linear manner, when mapped in a higher dimensional space. This process allows much more effective clustering performances by increasing the informativeness of the data. Hyperspectral images, being limited in spatial resolution as a tradeoff for the significantly higher number of channels compared to traditional images, …

Robust Training Methods For Deep Neural Networks With A Variety Of Label Noise, Sree Ram Kamabattula

Electrical Engineering Dissertations - Archive

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 adverse effect on the generalization performance of DNNs. Thus, reducing the consequences of label noise is of much research value. In this dissertation, we focus on improving our understanding of label noise and, achieving better generalization performance. Due to the lack of ground truth with real world noisy datasets, most researchers create synthetic noisy datasets to develop robust training methods. Among these methods, stopping …

Neural Network For Monitoring Infant Feeding Process In The Smartbottle Device, Jiajun Guan

Master's Theses

To research the relationship between Childhood obesity and infant feeding patterns, the Electrical Engineering Department at California Polytechnic State University has designed a SmartBottle device attaching to the bottom of a baby bottle to monitor the infant feeding process. This project mainly focuses on the software and firmware design, as well as the neural network design of the SmartBottle device. The SmartBottle device is designed to identify infant feeding activities and to record related data for overweight and obesity research on children. This device includes a 6-dimensional inertial sensor that contains a 3-axis digital accelerometer and a 3-axis digital gyroscope. …

New Force Transducer For Mitral Valve Chordae Tendinea, Joseph Berryman

Biomedical Engineering Undergraduate Honors Theses

In order to inform the future of mitral valve repair and replacement, more investigation into the mechanics of the sub-valvular structure is needed. Understanding the roles of each chord during valve closure requires a sensor capable of detecting these small forces with enough sensitivity to determine the characteristics of each of the chordal types. The focus of the cantilever force transducer is to maximize this sensitivity while also minimizing the invasiveness of the sensor on the overall function of the chord. The design utilizes flexible yet strong 3D printed resin and cantilever arms to improve the strain exerted on a …

Automation, Annunciation, And Emergency Safety Shutdown Of A Laboratory Microgrid Using A Real-Time Automation Controller (Rtac), Do Vo

Master's Theses

Over the last decade, microgrid deployments throughout the world have increased. In 2019, a record number of 546 microgrids were installed in the United States [1]. This trend continues upward to combat extreme weather conditions and power shortages throughout the country. To better equip students with the necessary skillsets and knowledge to advance in the microgrid field, Cal Poly San Luis Obispo's Electrical Engineering Department and the Power Energy Institute have invested resources to develop a laboratory microgrid.

This thesis sets to improve the laboratory microgrid's existing automation using the Schweitzer Engineering Laboratory SEL-3530 Real-time Automation Controller (RTAC). The improved …

Integrated Ac To Ac Converters For Single-Phase Input To Two-Phase Output Motor Drives, Yibin Zhang, Damien L. Lawhorn, Peng Han, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The single-phase to two-phase converters have become attractive for low-power motor drives due to the full electromagnetic isolation between phases of two-phase motors. One of the commonly used topologies is the ac/dc/ac pulse width modulation (PWM) converter which contains twelve active power semiconductor switches and a common dc link. To minimize the system cost and size for low power applications, an integrated ac/ac converter with a single-phase input and a two-phase output which reduces the switch count to six is proposed in this paper. Additionally, modulation scheme and filters for the proposed converter are developed and modeled in details. In …

Integrated Modular Motor Drives Based On Multiphase Axial-Flux Pm Machines With Fractional-Slot Concentrated Windings, Peng Han, Greg Heins, Yibin Zhang, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The integrated motor drive (IMD) concept with possible modularization has attracted much attention in a broad spectrum of applications ranging from low-power general-purpose industrial drives to high-power electric propulsion. This paper presents the feasibility study and performance evaluation of using common axial-flux permanent-magnet (AFPM) machines with fractional-slot concentrated windings in IMDs, with the same diameter and a minimum increase in its axial length. Different winding configurations are compared in terms of the torque/power capability and fault tolerance without changing the winding current rating. The possibility of further torque improvement is discussed from the perspective of making full use of the …

The Future Of Artificial Intelligence, Alex Guerra

Emerging Writers

Whether we like it or not Artificial Intelligence (AI) is coming, and we are not ready for it. AI has unimaginable potential and will revolutionize the world over the next few decades, but with this great potential we are faced with choices that could prove detrimental to humanity. This article examines the challenges AI presents and explores possible solutions to make AI align with human interests.

Analysis Of Torque Production In Axial-Flux Vernier Pm Machines Of The Magnus Type, Murat G. Kesgin, Peng Han, Damien Lawhorn, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The paper presents a study of the torque production in a novel vernier-type axial-flux permanent magnet (PM) machine topology named MAGNUS. Two computational methods are employed, one based on the 3D FEA Maxwell stress calculations on individual stator and rotor components and one based on the analytical derivation of the air-gap flux density harmonics. Examples are provided for a design with a 40-pole spoke-type PM rotor and two stators, one active including a 3-phase winding with 6 concentrated coils wound around main teeth in a single layer arrangement and a second stator that has neither coils nor main slots and …

Development Of A Wearable Finger Exoskeleton For Rehabilitation, Carlos Hernandez-Santos, Yasser A. Davizón, Alejandro Said, Rogelio Soto, L. C. Felix-Harran, Adriana Vargas-Martinez

Electrical and Computer Engineering Faculty Publications

This research work shows a new architecture of a novel wearable finger exoskeleton for rehabilitation; the proposed design consists of a one degree of freedom mechanism that generates the flexion and extension movement for the proximal, medial and distal phalange of the fingers to assist patients during the rehabilitation process, after neurological trauma, such as a stroke. The anatomy and anthropometric measures for the hand were used to define the design of the mechanism. In the analytic part, the representative equations for the forward and inverse kinematic analysis of the fingers are obtained, also a dynamic analysis is presented. The …

Design And Assembly Of High-Temperature Signal Conditioning System On Ltcc With Silicon Carbide Cmos Circuits, Sajib Roy

Graduate Theses and Dissertations

The objective of the work described in this dissertation paper is to develop a prototype electronic module on a low-temperature co-fired ceramic (LTCC) material. The electronic module would perform signal conditioning of sensor signals (thermocouples) operating under extreme conditions for applications like gas turbines to collect data on the health of the turbine blades during operation so that the turbines do not require shutdown for inspection to determine if maintenance is required. The collected data can indicate when such shutdowns, which cost $1M per day, should be scheduled and maintenance actually performed. The circuits for the signal conditioning system within …

Statistical Machine Learning For Breast Cancer Detection With Terahertz Imaging, Tanny Andrea Chavez Esparza

Graduate Theses and Dissertations

Breast conserving surgery (BCS) is a common breast cancer treatment option, in which the cancerous tissue is excised while leaving most of the healthy breast tissue intact. The lack of in-situ margin evaluation unfortunately results in a re-excision rate of 20-30% for this type of procedure. This study aims to design statistical and machine learning segmentation algorithms for the detection of breast cancer in BCS by using terahertz (THz) imaging. Given the material characterization properties of the non-ionizing radiation in the THz range, we intend to employ the responses from the THz system to identify healthy and cancerous breast tissue …

Characterization Of Gesn Semiconductors For Optoelectronic Devices, Hryhorii Stanchu

Graduate Theses and Dissertations

Germanium-tin alloys with Sn compositions higher than 8 at. % to 10 at. % have recently attracted significant interest as a group IV semiconductor that is ideal for active photonics on a Si substrate. The interest is due to the fact that while at a few percent of Sn, GeSn is an indirect bandgap semiconductor, at about 8 to 10 at. % Sn, GeSn transitions to a direct bandgap semiconductor. This is at first surprising since the solid solubility of Sn in Ge under equilibrium growth conditions is limited to only about 1 at. %. However, under non-equilibrium growth conditions, …

Analog Spiking Neural Network Implementing Spike Timing-Dependent Plasticity On 65 Nm Cmos, Luke Vincent

Graduate Theses and Dissertations

Machine learning is a rapidly accelerating tool and technology used for countless applications in the modern world. There are many digital algorithms to deploy a machine learning program, but the most advanced and well-known algorithm is the artificial neural network (ANN). While ANNs demonstrate impressive reinforcement learning behaviors, they require large power consumption to operate. Therefore, an analog spiking neural network (SNN) implementing spike timing-dependent plasticity is proposed, developed, and tested to demonstrate equivalent learning abilities with fractional power consumption compared to its digital adversary.