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open access

Deep Learning Approaches to Radio Map Estimation

Description: Radio map estimation (RME) is the task of predicting radio power at all locations in a two-dimensional area and at all frequencies in a given band. This thesis explores four deep learning approaches to RME: dual path autoencoders, skip connection autoencoders, diffusion, and joint learning with transmitter localization.
Date: July 2023
Creator: Locke IV, William Alexander
Partner: UNT Libraries

Occupancy Monitoring Using Low Resolution Thermal Imaging Sensors

Description: Occupancy monitoring is an important research problem with a broad range of applications in security, surveillance, and resource management in smart building environments. As a result, it has immediate solutions to solving some of society's most pressing issues. For example, HVAC and lighting systems in the US consume approximately 45-50% of the total energy a building uses. Smart buildings can reduce wasted energy by incorporating networkable occupancy sensors to obtain real-time occupancy dat… more
Date: August 2022
Creator: Chidurala, Veena
Partner: UNT Libraries

Novel Algorithms and Hardware Architectures for Computational Subsystems Used in Cryptography and Error Correction Coding

Description: A modified, single error-correcting, and double error detecting Hamming code, hereafter referred to as modified SEC-DED Hamming code, is proposed in this research. The code requires fewer logic gates to implement than the SEC-DED Hamming code. Also, unlike the popular Hsiao's code, the proposed code can determine the error in the received word from its syndrome location in the parity check matrix. A detailed analysis of the area and power utilization by the encoder and decoder circuits of the m… more
This item is restricted from view until September 1, 2024.
Date: August 2022
Creator: Chakraborty, Anirban
Partner: UNT Libraries

Stabilization and Performance Improvement of Control Systems under State Feedback

Description: The feedback control system is defined as the sampling of an output signal and feeding it back to the input, resulting in an error signal that drives the overall system. This dissertation focuses on the stabilization and performance of state feedback control systems. Chapters 3 and 4 focus on the feedback control protocol approaching in the multi-agents system. In particular, the global regulation of distributed optimization problems has been considered. Firstly, we propose a distributed optimi… more
This item is restricted from view until June 1, 2027.
Date: May 2022
Creator: Yao, Lisha
Partner: UNT Libraries

Advanced Distributed Optimization and Control Algorithms: Theory and Applications

Description: Networked multi-agent systems have attracted lots of researchers to develop algorithms, techniques, and applications.A multi-agent networked system consists of more than one subsystem (agent) to cooperately solve a global problem with only local computations and communications in a fully distributed manner. These networked systems have been investigated in various different areas including signal processing, control system, and machine learning. We can see massive applications using networked s… more
Date: May 2022
Creator: Zhang, Shengjun
Partner: UNT Libraries

Real Time Gas Monitoring and Modeling on the Pyrolysis Process of Biomass

Description: In order to better understand the changes occurring in the internal environment of the pyrolysis process a method of monitoring the internal environment in real time is the key objective of this study. To accomplish this objective four tasks were laid out in order to develop an effective way of monitoring the changes in gases present as pyrolysis is occurring as well as in material activation processing. For all processing the self-activation process was used which combines pyrolysis and ther… more
Date: December 2021
Creator: Smith, Lee Miller
Partner: UNT Libraries

Algebraic Trait for Structurally Balanced Property of Node and Its Applications in System Behaviors

Description: This thesis targets at providing an algebraic method to indicate network behaviors. Furthermore, for a signed-average consensus problem of the system behaviors, event-triggering signed-average algorithms are designed to reduce the communication overheads. In Chapter 1, the background is introduced, and the problem is formulated. In Chapter 2, notations and basics of graph theory are presented. It is known that the terminal value of the system state is determined by the initial state, left eigen… more
Date: December 2021
Creator: Du, Wen (Electrical engineering researcher)
Partner: UNT Libraries
open access

Asynchronous Level Crossing ADC for Biomedical Recording Applications

Description: This thesis focuses on the recording challenges faced in biomedical systems. More specifically, the challenges in neural signal recording are explored. Instead of the typical synchronous ADC system, a level crossing ADC is detailed as it has gained recent interest for low-power biomedical systems. These systems take advantage of the time-sparse nature of the signals found in this application. A 10-bit design is presented to help capture the lower amplitude action potentials (APs) in neural sign… more
Date: August 2021
Creator: Pae, Kieren
Partner: UNT Libraries
open access

Object Detection for Aerial View Images: Dataset and Learning Rate

Description: In recent years, deep learning based computer vision technology has developed rapidly. This is not only due to the improvement of computing power, but also due to the emergence of high-quality datasets. The combination of object detectors and drones has great potential in the field of rescue and disaster relief. We created an image dataset specifically for vision applications on drone platforms. The dataset contains 5000 images, and each image is carefully labeled according to the PASCAL VOC st… more
Date: May 2021
Creator: Qi, Yunlong
Partner: UNT Libraries
open access

Efficient Linear Secure Computation and Symmetric Private Information Retrieval Protocols

Description: Security and privacy are of paramount importance in the modern information age. Secure multi-party computation and private information retrieval are canonical and representative problems in cryptography that capture the key challenges in understanding the fundamentals of security and privacy. In this dissertation, we use information theoretic tools to tackle these two classical cryptographic primitives. In the first part, we consider the secure multi-party computation problem, where multiple us… more
Date: December 2020
Creator: Zhou, Yanliang
Partner: UNT Libraries

Light Matter Interactions in Two-Dimensional Semiconducting Tungsten Diselenide for Next Generation Quantum-Based Optoelectronic Devices

Description: In this work, we explored one material from the broad family of 2D semiconductors, namely WSe2 to serve as an enabler for advanced, low-power, high-performance nanoelectronics and optoelectronic devices. A 2D WSe2 based field-effect-transistor (FET) was designed and fabricated using electron-beam lithography, that revealed an ultra-high mobility of ~ 625 cm2/V-s, with tunable charge transport behavior in the WSe2 channel, making it a promising candidate for high speed Si-based complimentary-met… more
Date: December 2020
Creator: Bandyopadhyay, Avra Sankar
Partner: UNT Libraries
open access

Inkjet Printed Transition Metal Dichalcogenides and Organohalide Perovskites for Photodetectors and Solar Cells

Description: This dissertation is devoted to the development of novel devices for optoelectronic and photovoltaic applications using the promise of inkjet printing with two-dimensional (2D) materials. A systematic approach toward the characterization of the liquid exfoliated 2D inks comprising of graphene, molybdenum disulfide (MoS2), tungsten diselenide (WSe2), and 2D perovskites is discussed at depth. In the first study, the biocompatibility of 2D materials -- graphene and MoS2 -- that were drop cast onto… more
Date: May 2020
Creator: Hossain, Ridwan Fayaz
Partner: UNT Libraries
open access

Interference Alignment through Propagation Delay

Description: With the rapid development of wireless communication technology, the demands for higher communication rates are increasing. Higher communication rate corresponds to higher DoF. Interference alignment, which is an emerging interference management technique, is able to substantially increase the DoF of wireless communication systems. This thesis mainly studies the delay-based interference alignment technique. The key problem lies in the design of the transmission scheme and the appropriate alloca… more
Date: May 2020
Creator: Liu, Zhonghao
Partner: UNT Libraries
open access

Design of a Wearable Flexible Resonant Body Temperature Sensor with Inkjet-Printing

Description: A wearable body temperature sensor would allow for early detection of fever or infection, as well as frequent and accurate hassle-free recording. This thesis explores the design of a body-temperature-sensing device inkjet-printed on a flexible substrate. All structures were first modeled by first-principles, theoretical calculations, and then simulated in HFSS. A variety of planar square inductor geometries were studied before selecting an optimal design. The designs were fabricated using multi… more
Date: May 2020
Creator: Horn, Jacqueline Marie
Partner: UNT Libraries

Efficient Solar Energy Harvesting and Management for Wireless Sensor Networks under Varying Solar Irradiance Conditions

Description: Although wireless sensor networks have been successfully used for environmental monitoring, one of the major challenges that this technology has been facing is supplying continuous and reliable electrical power during long-term field deployment. Batteries require repetitive visits to the deployment site to replace them once discharged; admittedly, they can be recharged from solar panels, but this only works in open areas where solar radiation is unrestricted. This dissertation introduces a nove… more
Date: May 2020
Creator: Gurung, Sanjaya
Partner: UNT Libraries
open access

Gamification to Solve a Mapping Problem in Electrical Engineering

Description: Coarse-Grained Reconfigurable Architectures (CGRAs) are promising in developing high performance low-power portable applications. In this research, we crowdsource a mapping problem using gamification to harnass human intelligence. A scientific puzzle game, Untangled, was developed to solve a mapping problem by encapsulating architectural characteristics. The primary motive of this research is to draw insights from the mapping solutions of players who possess innate abilities like decision-makin… more
Date: May 2020
Creator: Balavendran Joseph, Rani Deepika
Partner: UNT Libraries
open access

Design of Ultra Wideband Low Noise Amplifier for Satellite Communications

Description: This thesis offers the design and improvement of a 2 GHz to 20 GHz low noise amplifier (LNA) utilizing pHEMT technology. The pHEMT technology allows the LNA to generate a boosted signal at a lower noise figure (NF) while consuming less power and achieving smooth overall gain. The design achieves an overall gain (S21) of ≥ 10 dB with an NF ≤ 2 dB while consuming ≤ 30 mA of power while using commercial off-the-shelf (COTS) components.
Date: May 2020
Creator: Webber, Scott
Partner: UNT Libraries
open access

Flight Control Subsystem

Description: Paper describes a project with the goal of designing and prototyping a small-scale unmanned aerial vehicle (UAV), offering dual-channel real-time video, data logging, and waypoint tracking.
Date: 2010
Creator: Williams, Jennifer; Bratton, David; Jones, Aaron; Anderson, Alyse; Befort, Jonathan; Lowe, Ryan et al.
Partner: UNT Libraries
open access

Optimization of RSA Cryptography for FPGA and ASIC Applications

Description: RSA cryptography is one of the most widely used cryptosystems in the world. FPGA/ASIC implementations for the classic RSA cryptosystem have high resource utilization due to the use of the Extended Euclid's algorithm for MOD inverse generation, the MOD exponent operation for encryption and decryption, and through non finite-field arithmetic. This thesis translates the RSA cryptosystem into the finite-field domain of arithmetic which greatly increases the range of encryption and decryption keys a… more
Date: December 2019
Creator: Simpson, Zachary P
Partner: UNT Libraries
open access

Modeling and Design of Antennas for Loosely Coupled Links in Wireless Power Transfer Applications

Description: Wireless power transfer (WPT) systems are important in many areas, such as medical, communication, transportation, and consumer electronics. The underlying WPT system is comprised of a transmitter (TX) and receiver (RX). For biomedical applications, such systems can be implemented on rigid or flexible substrates and can be implanted or wearable. The efficiency of a WPT system is based on power transfer efficiency (PTE). Many WPT system optimization techniques have been explored to achieve the h… more
Date: August 2019
Creator: Sinclair, Melissa Ann
Partner: UNT Libraries
open access

A Cognitive MIMO OFDM Detector Design for Computationally Efficient Space-Time Decoding

Description: In this dissertation a computationally efficient cognitive multiple-input multiple-output (MIMO) orthogonal frequency division duplexing (OFDM) detector is designed to decode perfect space-time coded signals which are able maximize the diversity and multiplexing properties of a rich fading MIMO channel. The adaptive nature of the cognitive detector allows a MIMO OFDM communication system to better meet to needs of future wireless communication networks which require both high reliability and lo… more
Date: August 2019
Creator: Grabner, Mitchell J
Partner: UNT Libraries

Proximal Policy Optimization in StarCraft

Description: Deep reinforcement learning is an area of research that has blossomed tremendously in recent years and has shown remarkable potential in computer games. Real-time strategy game has become an important field of artificial intelligence in game for several years. This paper is about to introduce a kind of algorithm that used to train agents to fight against computer bots. Not only because games are excellent tools to test deep reinforcement learning algorithms for their valuable insight into how w… more
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Date: May 2019
Creator: Liu, Yuefan
Partner: UNT Libraries
open access

Development and Integration of a Low-Cost Occupancy Monitoring System

Description: The world is getting busier and more crowded each year. Due to this fact resources such as public transport, available energy, and usable space are becoming congested and require vast amounts of logistical support. As of February 2018, nearly 95% of Americans own a mobile cell phone according to the Pew Research Center. These devices are consistently broadcasting their presents to other devices. By leveraging this data to provide occupational awareness of high traffic areas such as public tran… more
Date: December 2018
Creator: Mahjoub, Youssif
Partner: UNT Libraries
open access

Distributed Consensus, Optimization and Computation in Networked Systems

Description: In the first part of this thesis, we propose a distributed consensus algorithm under multi-layer multi-group structure with communication time delays. It is proven that the consensus will be achieved in both time-varying and fixed communication delays. In the second part, we study the distributed optimization problem with a finite-time mechanism. It is shown that our distributed proportional-integral algorithm can exponentially converge to the unique global minimizer when the gain parameters sa… more
Date: December 2018
Creator: Yao, Lisha
Partner: UNT Libraries
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