Electrical and Electronics Commons^™

Semiconductor Device Modeling, Simulation, And Failure Prediction For Electrostatic Discharge Conditions, Hang Li

Electronic Theses and Dissertations

Electrostatic Discharge (ESD) caused failures are major reliability issues in IC industry. Device modeling for ESD conditions is necessary to evaluate ESD robustness in simulation. Although SPICE model is accurate and efficient for circuit simulations in most cases, devices under ESD conditions operate in abnormal status. SPICE model cannot cover the device operating region beyond normal operation. Thermal failure is one of the main reasons to cause device failure under ESD conditions. A compact model is developed to predict thermal failure with circuit simulators. Instead of considering the detailed failure mechanisms, a failure temperature is introduced to indicate device failure. …

Analysis, Design And Efficiency Optimization Of Power Converters For Renewable Energy Applications, Xi Chen

Electronic Theses and Dissertations

DC-DC power converters are widely used in renewable energy-based power generation systems due to the constant demand of high-power density and high-power conversion efficiency. DC-DC converters can be classified into non-isolated and isolated topologies. For non-isolated topologies, they are typically derived from buck, boost, buck-boost or forth order (such as Cuk, Sepic and Zeta) converters and they usually have relatively higher conversion efficiency than isolated topologies. However, with the applications where the isolation is required, either these topologies should be modified, or alternative topologies are needed. Among various isolated DC-DC converters, the LLC resonant converter is an attractive selection due …

Programmable Low Loss Orthogonal Frequency Coded Surface Acoustic Wave Correlator Filters, Marshall Smith

Electronic Theses and Dissertations

Simultaneous Transmit and Receive (STAR) communication is being developed as a means of improving spectral efficiency in wireless communication systems. If the obstacle of self-interference can be sufficiently overcome, it is possible to double the spectral efficiency of an equivalent time or frequency division duplexed system. Spread spectrum techniques can reduce self-interference by using orthogonal or pseudo-orthogonal codes to encode the transmit signal and decode the receive signal. Hardware correlator filters are developed for use with STAR radio systems using orthogonal frequency coded (OFC) surface acoustic wave (SAW) devices. OFC is a type of spread spectrum communication that can be …

Fabrication And Characterization Of Planar-Structure Perovskite Solar Cells, Guoduan Liu

Theses and Dissertations--Electrical and Computer Engineering

Currently organic-inorganic hybrid perovskite solar cells (PSCs) is one kind of promising photovoltaic technology due to low production cost, easy fabrication method and high power conversion efficiency.

Charge transport layers are found to be critical for device performance and stability. A traditional electron transport layer (ETL), such as TiO₂ (Titanium dioxide), is not very efficient for charge extraction at the interface. Compared with TiO₂, SnO₂ (Tin (IV) Oxide) possesses several advantages such as higher mobility and better energy level alignment. In addition, PSCs with planar structure can be processed at lower temperature compared to PSCs with …

Performance Of Rf Underwater Communications Operating At 433 Mhz And 2.4 Ghz, Mohammad Abdellatif, Salma M. Maher, Ziad Ali, Haitham H. Mahmoud, Sameh O. Abdellatif

Electrical Engineering

The development of Underwater communications networks has become a hot topic in the research over the past few years. Many technologies are promising, however, they suffer from considerable latency, and larger attenuation with distance which degrades the overall network performance. This paper implements a low cost underwater communication network (UWCN) in order to investigate the effect of the operating frequency on the network performance during data transmission. The transmission of data is studied in three scenarios; Air-to-Air, Air-to-Water, and Water-to- Water scenarios. Furthermore, the performance of the network with two operating frequencies is examined in terms of the end-toend delay, …

Submerged Solar Energy Harvesters Performance For Underwater Applications, Mohammad Abdellatif, Salsabeel Kamal, Ghazal M. Al-Sayyad, Rana Abdelmoteleb, Sameh O. Abdellatif

Electrical Engineering

underwater communications is the transmission of data in an unguided water medium through wireless carriers such as; optical waves, radio-frequency waves and acoustic waves. Such type of communication system is utilized to enable the realization of the ocean exploration system and other marine monitoring/exploration systems. Seeking for a sustainable setup, the enrolment of energy harvesting sources in these wireless nodes have been presented as a replacement of the short-life-time battery sources. In this paper, there are experimental measurements as well as theoretical studies for two different light harvesters have been conducted underwater with considering the air measurements as a reference. …

Characterization And Quality Assessment Of Smart Polymer Systems Fabricated By Using 3d Printing Technique, Carlos Alejandro Garcia Rosales

Open Access Theses & Dissertations

Shape memory polymers (SMPs) are classified as smart materials due to their inherent stimulus-induced response. SMP is capable of recovering its original shape from a high degree of deformation by applying an external stimulus such as thermal energy. Other stimuli are electricity, light, chemical, and magnetic field. Shape memory polymers (SMPs) and its fabrication process has recently attracted much attention as a result of their potential application as soft active materials. Demonstration of SMP systems fabricated via 3D printing technologies has been one of the most popular attempts. This Dissertation presents an integration of two commercial SMP materials (DiAPLEX and …

Artificial Intelligence In The Assessment Of Transmission And Distribution Systems Under Natural Disasters Using Machine Learning And Deep Learning Techniques In A Knowledge Discovery Framework, Rossana Villegas

Open Access Theses & Dissertations

Warming trends and increasing temperatures have been observed and reported by federal agencies, such as the National Oceanic and Atmospheric Administration (NOAA). Extreme-weather events, especially hurricanes, tornadoes and winter storms, are among the highly devastating natural disasters responsible for massive and prolonged power outages in Electrical Transmission and Distribution Systems (ETDS). Moreover, the failure rate probability of any system component under extreme-weather tends to increase in the impacted geographic area. This Dissertation proposes an Artificial Intelligence (AI) Decision Support System that can predict damage in the ETDS and allow operators to mitigate disastrous extreme weather events. The document reports the …

A High Torque Density Halbach Rotor Coaxial Magnetic Gear, Ho Yin Wong, Jonathan Z. Bird, David Barnett, Wesley Williams

Electrical and Computer Engineering Faculty Publications and Presentations

This paper presents the design, analysis, and experimental testing results for a 5.67:1 Halbach rotor magnetic gearbox with a ferromagnetic back support. Using 3-D finite element analysis software the Halbach magnetic gearbox was calculated to achieve a volumetric torque density of 284N·m/L with only an active region outer diameter of 120mm. The experimental prototype obtained an active region volumetric torque density of 261.4N·m/L

Active Recall Networks For Multiperspectivity Learning Through Shared Latent Space Optimization, Theus Aspiras, Ruixu Liu, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

Given that there are numerous amounts of unlabeled data available for usage in training neural networks, it is desirable to implement a neural network architecture and training paradigm to maximize the ability of the latent space representation. Through multiple perspectives of the latent space using adversarial learning and autoencoding, data requirements can be reduced, which improves learning ability across domains. The entire goal of the proposed work is not to train exhaustively, but to train with multiperspectivity. We propose a new neural network architecture called Active Recall Network (ARN) for learning with less labels by optimizing the latent space. This …

ฟลักซ์เทียมและตัวสังเกตที่มีเสถียรภาพในวงกว้างสำหรับการควบคุมแบบไร้เซนเซอร์วัดตำแหน่งของมอเตอร์ซิงโครนัสรีลักแตนซ์, ธันวา ภิญโญภาวศุทธิ

Chulalongkorn University Theses and Dissertations (Chula ETD)

การประมาณตำแหน่งโรเตอร์ของมอเตอร์ซิงโครนัสรีลักแตนซ์โดยอาศัยแบบจำลองของมอเตอร์มีข้อดีคือไม่รบกวนการทำงานของมอเตอร์ และมีย่านการใช้งานที่ค่อนข้างกว้าง แม้ว่าในอดีตจะมีงานวิจัยหลายฉบับที่ได้นำเสนอตัวสังเกตฟลักซ์เพื่อการประมาณตำแหน่งโรเตอร์ไว้ แต่ในปัจจุบันก็ยังไม่มีงานวิจัยใดสามารถรับประกันเสถียรภาพของตัวสังเกตที่นำเสนอได้ ดังนั้นงานวิทยานพินธ์นี้จึงมีจุดมุ่งหมายหลักเพื่อนำเสนอตัวสังเกตฟลักซ์ซึ่งสามารถพิสูจน์เสถียรภาพในวงกว้างได้ โดยอาศัยแบบจำลองทางพลวัตใหม่ของมอเตอร์ซิงโครนัสรีลักแตนซ์บนฐานฟลักซ์เทียม ฟลักซ์เทียมสำหรับมอเตอร์ซิงโครนัสรีลักแตนซ์ที่นำเสนอมีข้อดีคล้ายกับแม่เหล็กถาวรของมอเตอร์ซิงโครนัสคือ มีขนาดที่รู้หรือคำนวณได้จากข้อมูลของกระแสสเตเตอร์ และมีมุมเฟสที่ให้ข้อมูลของตำแหน่งโรเตอร์ที่ต้องการรวมอยู่ด้วย ตำแหน่งและความเร็วของโรเตอร์สามารถหาได้จากฟลักซ์เทียมที่ประมาณได้โดยใช้เทคนิคเฟสล็อกลูปเชิงเวกเตอร์ แนวคิดและทฤษฎีทั้งหมดที่นำเสนอถูกทดสอบในเบื้องต้นโดยการจำลองด้วยโปรแกรม Matlab/Simulink และนำไปใช้กับระบบจริงเพื่อประมาณตำแหน่งและความเร็วโรเตอร์ในระบบควบคุมแบบไร้ตัวตรวจจับตำแหน่ง ผลการจำลองและผลการทดลองกับระบบจริงยืนยันความถูกต้องของแนวคิดและทฤษฎีที่ได้นำเสนอในงานวิทยานิพนธ์ฉบับนี้

Optimal Planning Of Wind-Based Distributed Generation And Reactive Power Management In A Distribution System, Ovi Eka Putri

Chulalongkorn University Theses and Dissertations (Chula ETD)

In recent years, the incremental load demand leads to the higher presence of distributed generation (DG) in distribution system. Renewable energy-based DG has been much appreciated due to the techno-eco-environmental benefit. Wind-based DG is one of most promising renewable energy based-DG. However, in the technical aspect, distribution system planning with wind-based DG alone is not fruitful enough due to limited reactive power support. Capacitor bank is one of available devices for reactive power management in distribution system. So, installing wind-based DG and capacitor bank in distribution system is one of alternative solutions to improve electrical power system performance in term …

Deep Temporal Convolutional Networks For Short-Term Traffic Flow Forecasting, Wentian Zhao, Yanyun Gao, Tingxiang Ji, Xili Wan, Feng Ye, Guangwei Bai

Electrical and Computer Engineering Faculty Publications

To reduce the increasingly congestion in cities, it is essential for intelligent transportation system (ITS) to accurately forecast the short-term traffic flow to identify the potential congestion sites. In recent years, the emerging deep learning method has been introduced to design traffic flow predictors, such as recurrent neural network (RNN) and long short-term memory (LSTM), which has demonstrated its promising results. In this paper, different from existing work, we study the temporal convolutional network (TCN) and propose a deep learning framework based on TCN model for short-term city-wide traffic forecast to accurately capture the temporal and spatial evolution of traffic …

Three-Phase Motor Drive Using Hall Sensors And Field Oriented Control, Michael Mayberry

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

Permanent magnet synchronous motors (PMSM) are a promising candidate for the push to electrify transportation. They have many benefits over DC motors, however they require advanced control techniques that use accurate rotor position, to achieve optimal operation. Using Field Oriented Control (FOC) and hall sensors allows for a low-cost, reliable solution for PMSM drives.

The current study uses FOCs and hall sensors to achieve a motor drive with high power density, accurate speed control, and a small footprint.

Three-Phase Two-Leg T-Type Converter Based Active Power Filter, Samet Biricik, Hasan Komurcugil, Mohamed Trabelsi

Conference papers

In this work, a three-phase two-leg T-type active power filter topology is investigated when a three-level hysteresis band current modulation technique is applied. The three-phase two-leg T-type configuration which utilizes eight switching devices together split DC link capacitor banks is able to improve the reliability of the system as well as effectively reduces the power losses. The compensation of the current harmonics at each phase are achieved successfully with the control of phase-a and phase-b. Using this technique, the phase-c is directly connected to the midpoint of the split capacitors, which eliminates the necessity of additional control on the phase-c. …

Development And Demonstration Of A Processing And Assembly Pathway For A 3d-Synchronous Field Programmable Gate Array, Robert Carroll

Legacy Theses & Dissertations (2009 - 2024)

Field Programmable Gate Arrays (FPGA) are integrated circuits which can implement virtually any digital function and can be configured by a designer after manufacturing. This is beneficial when dedicated application specific runs are not time or cost effective; however, this flexibility comes at the cost of a substantially higher interconnect overhead. Three-dimensional (3D) integration can offer significant improvements in the FPGA architecture by stacking multiple device layers and interconnecting them in the third or vertical dimension, through the substrate, where path lengths are greatly reduced. This will allow for a higher density of devices and improvements in power consumption, signal …

Cvd Molybdenum Disulfide : Material And Device Engineering, Eui Sang Song

Legacy Theses & Dissertations (2009 - 2024)

Molybdenum disulfide (MoS2) is a semiconducting 2D layered material that has attracted a lot of attention due to its material properties for electronics and optoelectronics device applications. These include a layer-dependent band gap, an indirect to direct energy transition at monolayer state, and strong light-matter interaction. A large majority of 2D materials and devices have been studied through micromechanical exfoliation for extraction and electron beam lithography for device fabrication. These methodologies while able to generate high quality materials and precisely fabricated devices, are not suitable for large scale production. Efforts have been made to make MoS2 and other 2D materials …

Design And Simulation Of A Voltage Controlled Current Source For Electrical Impedance Tomography Applications, Farial Nur Maysha

Legacy Theses & Dissertations (2009 - 2024)

Electrical impedance tomography (EIT) is a simple, non-invasive and ionizing radiation-free imaging technology with potential application to medical diagnostics such as lung function, cardiac output, breast cancer, and cysts. Of the above imaging techniques, lung imaging has developed into the prime application for EIT. Because it presents an ill-posed inverse problem, EIT requires high-precision instrumentation and this thesis studies a new method for obtaining a high-precision current source and voltmeter for EIT. This thesis describes various simulation studies performed on the voltage-controlled current source (VCCS). The output impedance (Zo) of various types of Howland current source (HCS) including the basic …

Autonomous Spectrum Enforcement : A Blockchain Approach, Maqsood Ahamed Abdul Careem

Legacy Theses & Dissertations (2009 - 2024)

A core limitation in existing wireless technologies is the scarcity of spectrum, to support the exponential increase in Internet-connected and multimedia-capable mobile devices and the increasing demand for bandwidth-intensive services. As a solution, Dynamic Spectrum Access policies are being ratified to promote spectrum sharing for various spectrum bands and to improve the spectrum utilization. This poses an equally challenging problem of enforcing these spectrum policies. The distributed and dynamic nature of policy violations necessitates the use of autonomous agents to implement efficient and agile enforcement systems. The design of such a fully autonomous enforcement system is complicated due to the …

Communications Using Deep Learning Techniques, Priti Gopal Pachpande

Legacy Theses & Dissertations (2009 - 2024)

Deep learning (DL) techniques have the potential of making communication systems