Browsing Auburn Theses and Dissertations by Department "Electrical and Computer Engineering"
Now showing items 41-60 of 276
Characterization of Lead-free Solders for Electronic Packaging
(2007-05-15)
The characterization of lead-free solders, especially after isothermal aging, is very important in order to accurately predict the reliability of solder joints. However, due to lack of experimental testing standards and ...
Characterizing Processors for Time and Energy Optimization
(2016-08-05)
Energy and performance are important aspects of microprocessors and their verification and management require, measurement, estimation and analysis and these aspects are discussed through this research. A processor executes ...
CMOS Exactly Solvable Chaotic Oscillator
(2019-11-18)
The design and simulation of a complementary metal-oxide-semiconductor (CMOS) exactly solvable chaotic oscillator is presented in this work. The goal of this work is to design and simulate a high-frequency implementation ...
A CMOS Implementation of a Biological Neuron with Memristor as Synapse
(2017-04-26)
A CMOS neuron with 130-nm SiGe technology is presented in this paper to simulate the biological activities of synapses and neurons in human brains. Biological neuron behaviors are introduced in the beginning then comes ...
CMOS Stress Sensor Circuits
(2006-12-15)
Two CMOS piezoresistive stress sensor circuits based on piezoresistive MOSFETs (PiFETs) are the focus of this dissertation. The first design is a multiplexed array of 512 piezoresistive sensors fabricated on a 2.2 by 2.2mm2 ...
Cold Cathodes for Applications in Poor Vacuum and Low Pressure Gas Environments: Carbon Nanotubes Versus Zinc Oxide Nanoneedles
(2006-05-15)
Effects of gas pressure on the electron field emission (FE) properties of zinc oxide (ZnO) nanoneedles and carbon nanotubes (CNTs) were investigated. The FE properties for ZnO nanoneedles almost fully recovered after being ...
Compact Modeling of SiGe HBTs Using Verilog-A
(2006-08-15)
SiGe HBTs, integrated with CMOS, have demonstrated their usefulness in digital
and analog circuit designs for wired and wireless telecommunication applications over
the past decade. Of critical importance to successful ...
Conductor and Dielectric Property Extraction Using Microstrip Tee Resonators
(2005-08-15)
The growth and resultant competitive nature of the wireless industry has prompted the need for high frequency electronics to be provided at a low cost. An efficient method of component characterization is necessary to ...
Congestion control, Video streaming, Wireless networks, Deep reinforcement learning
(2019-01-03)
With the fast growth of wireless technologies, such as 4G-LTE, cognitive radio networks,
and 5G and beyond, data transportation in the wireless environment is dramatically increasing
and has taken the dominant role over ...
Connectivity Based Characterization of Brain Function in Humans and Dogs
(2017-11-30)
Functional magnetic resonance imaging (fMRI) has been widely used to infer brain function in both healthy and clinical populations. Here, we propose novel approaches for connectivity based characterization in both humans ...
Consideration of 2-150 kHz Disturbances in North American Power Systems
(2017-07-27)
This is an evaluation of considerations for electromagnetic compatibility (EMC) limits for power line communication (PLC) based on North American standards. In the vast majority of cases, smart meters are located in the ...
Contact-free Breathing Rate Monitoring with Smartphones: A Sonar Phase Approach
(2018-07-30)
Vital sign (e.g., respiration rate) monitoring has become increasingly more important because it offers useful clues of medical conditions such as sleep disorders. There is a compelling need for technologies that enable ...
Contact-free Vital Sign Monitoring Using Phase Difference of Channel State Information
(2017-11-27)
Vital signs, such as breathing and heartbeat, are useful to health monitoring since such signals provide important clues of medical conditions. Effective solutions are needed to provide contact-free, easy deployment, ...
Control of a Three-phase Shunt Active Power Filter for Unbalanced Conditions
(2018-11-15)
The awareness of the quality and reliability of the power system has been increased in recent years due to several reasons. The excessive increasing of the applications of power electronics devices on the grid causes power ...
Control, Modeling, and Analysis of Inverter-Based Resources
(2021-11-23)
The increased penetration level of Inverter-Based Resources (IBR) presents new challenges to the planning and operation of electric grids traditionally designed, protected, and operated based on the inherent characteristics ...
Cooperative Map-Building for Autonomous Mobile Robots
(2017-04-20)
A novel algorithm for multi-robot simultaneous localization and mapping is investigated through simulation. Although cooperative-SLAM has been studied by other researchers, the algorithm presented here offers a simpler, ...
Cooperative Robotics Using Wireless Communication
(2005-12-15)
Cooperative Robotics has to do with the use of multiple robotic agents assisting each other to perform a task that is either too difficult or impossible for one robot to perform alone. It is a multi-disciplinary field ...
Current Control for a Single-Phase Grid-Connected Inverter Considering Grid Impedance
(2017-07-22)
The voltage source inverters are typically used to connect between distributed generation and the utility grid. In the grid-connected inverter, an output filter is often utilized in the inverter terminals to reduce the ...
Deep Learning Methods Using Levenberg-Marquardt with Weight Compression and Discrete Cosine Transform Spectral Pooling
(2018-04-18)
State-of-the-Art Machine Learning methods achieve powerful results on practical problems in all data-driven industries. As these methods are improved, the hardware and training time necessary to implement them have grown ...
Deep Learning-based Load Forecasting and Monitoring in the Smart Grid
(2021-12-05)
With the rapid advances in sensing and acquisition, transmission, storage, computing, and analytics, the era of big data has come. Many advanced data analytic techniques, especially machine learning and deep learning ...