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open access

Evaluating the Feasibility of Accelerometers in Hand Gestures Recognition

Gesture recognition plays an important role in human computer Interaction for intelligent computing. Major applications like Gaming, Robotics and Automated Homes uses gesture recognition techniques which diminishes the usage of mechanical devices. The main goal of my thesis is to interpret SWAT team gestures using different types of sensors. Accelerometer and flex sensors were explored extensively to build a prototype for soldiers to communicate in the absence of line of sight. Arm movements we… more

Date: December 2014

Creator: Karlaputi, Sarada

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

A Study of the Synthesis and Surface Modification of UV Emitting Zinc Oxide for Bio-Medical Applications

This thesis presents a novel ZnO-hydrogel based fluorescent colloidal semiconductor nanomaterial system for potential bio-medical applications such as bio-imaging, cancer detection and therapy. The preparation of ZnO nanoparticles and their surface modification to make a biocompatible material with enhanced optical properties is discussed. High quality ZnO nanoparticles with UV band edge emission are prepared using gas evaporation method. Semiconductor materials including ZnO are insoluble in w… more

Date: May 2009

Creator: John, Sween

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Tesla Turbine Torque Modeling for Construction of a Dynamometer and Turbine

While conventional turbines have been extensively researched and tested, Tesla and boundary layer type turbines have not. In order to construct a dynamometer, thermodynamic flow apparatus and future turbines, we modeled the Tesla turbine using theoretical calculations and preliminary experiments. Thus a series of experiments were run to determine stall torque and maximum run speed for a known pressure range. This data was then applied to modeling formulas to estimate stall torque over an extend… more

Date: May 2011

Creator: Emran, Tamir Ali

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

An Investigation into Graph Isomorphism Based Zero-Knowledge Proofs

Zero-knowledge proofs protocols are effective interactive methods to prove a node's identity without disclosing any additional information other than the veracity of the proof. They are implementable in several ways. In this thesis, I investigate the graph isomorphism based zero-knowledge proofs protocol. My experiments and analyses suggest that graph isomorphism can easily be solved for many types of graphs and hence is not an ideal solution for implementing ZKP.

Date: December 2009

Creator: Ayeh, Eric

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Trajectories As a Unifying Cross Domain Feature for Surveillance Systems

Manual video analysis is apparently a tedious task. An efficient solution is of highly importance to automate the process and to assist operators. A major goal of video analysis is understanding and recognizing human activities captured by surveillance cameras, a very challenging problem; the activities can be either individual or interactional among multiple objects. It involves extraction of relevant spatial and temporal information from visual images. Most video analytics systems are constra… more

Date: December 2014

Creator: Wan, Yiwen

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Evaluation of Fine Particulate Matter Pollution Sources Affecting Dallas, Texas

Dallas is the third largest growing industrialized city in the state of Texas. the prevailing air quality here is highly influenced by the industrialization and particulate matter 2.5µm (PM2.5) has been found to be one of the main pollutants in this region. Exposure to PM2.5 in elevated levels could cause respiratory problems and other health issues, some of which could be fatal. the current study dealt with the quantification and analysis of the sources of emission of PM2.5 and an emission inv… more

Date: May 2012

Creator: Puthenparampil Koruth, Joseph

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Large Language Models for Test Code Comprehension

Context: Unit testing is critical for software reliability, yet challenges persist in ensuring the quality, comprehensibility, and maintainability of test code. Transformer/LLM-based approaches have improved the readability of generated tests, but they also introduce new risks and omissions. Empirically, transformer-based test generation (e.g., AthenaTest) produces tests with nontrivial smell rates, mirroring issues present in the training corpus (e.g., Methods2Test). In parallel, assertion mes… more

Date: December 2025

Creator: Aljohani, Ahmed Mshaal N M

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor

PM2.5 particle sensing has been done using surface acoustic wave based sensor for two different frequencies. Due to mass loading and elasticity loading on the sensor's surface, the center frequency of the sensor shifts. The particle concentration can be tracked based on that frequency shift. The fit factor test has been conducted using higher frequency SAW sensor. The consist results has been achieved for particle sensing and fit factor test with SAW based sensor.

Date: May 2023

Creator: Desai, Mitali Hardik

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Scalable AI: Intelligent Quantization and Neural Architectures for Image Compression, Classification, and Segmentation

This dissertation explores advanced methodologies in image processing and machine learning, emphasizing the critical role of quantization in optimizing data-driven tasks. It presents a systematic investigation of novel approaches to efficient data representation, compression, and classification, integrating state-of-the-art neural network architectures with traditional signal processing techniques. Chapter 2 focuses on quantization strategies that enhance image compression efficiency while pre… more

Date: May 2025

Creator: Depoian, Arthur Charles

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Topology and Lattice-Based Structural Design Optimization for Additively Manufactured Medical Implants

Topology-based optimization techniques and lattice structures are powerful ways to accomplish lightweight components with enhanced mechanical performance. Recent developments in additive manufacturing (AM) have led the way to extraordinary opportunities in realizing complex designs that are derived from topology and lattice-based structural optimization. The main aim of this work is to give a contribution, in the integration between structural optimization techniques and AM, by proposing a setu… more

Date: May 2019

Creator: Peto, Marinela

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Automated Methods to Evaluate the Quality of Distractors in College-Level MCQS

Generative artificial intelligence holds significant potential to transform the field of education, particularly by assisting researchers in creating course materials and assessment items. One critical component in the generation of multiple-choice questions (MCQs) is the construction of distractors or incorrect answer options. Effective distractors must maintain a delicate balance between plausibility, i.e., the ability to mislead students who lack full mastery of the subject, and clarity: to … more

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Date: December 2025

Creator: Vegi, Deekshitth 2000-

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Solution-Processed Graphene for Flexible Printed Biosensors and Electromyography

Inkjet-printing of graphene is a desirable additive-manufacturing process for rapid-prototyping and centers around the readily scalable process of liquid-phase exfoliation of graphene. Unfortunately, most common solvents for this process such as N-methyl-2-pyrrolidone (NMP) or cyclohexanone/terpineol (C/T) are toxic. Dihydrolevoglucosenone, commonly known as Cyrene, is a renewable and fully biodegradable non-toxic solvent that represents an ideal alternative. Here, we demonstrate the potential … more

Date: May 2024

Creator: Tesky, Allyson R.

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Applications of Machine Learning for Remote Sensing and Environmental Monitoring

This thesis covers applications of machine learning to the fields of remote sensing and environmental monitoring. First, a generalized background on the concepts, tools, and methods used throughout the remainder of the research project are introduced. Chapter 3 covers the implementation of artificial neural networks to improve low-cost particulate matter sensing networks using collocated high-quality sensors with varying dataset parameters. In Chapter 4, an attention-enhanced LSTM-Convolutional… more

Date: December 2022

Creator: Daniels, Jacob Edward

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Machine Learning Improvements for Data Partitioning and Classification Applied to Cardiac Arrhythmia Signals

This thesis creates a new method for the ethical splitting of data as well as improvements to neural network architectures to increase performance. Ethical dataset splitting should be based on statistics from the data, this prevents artificial manipulation of the data that helps or hurts the performance of a network. This bias introduced to the dataset can also be present by using the popular method of randomly splitting data into datasets. To remove bias from dataset splitting, the splits of a… more

Date: December 2022

Creator: Cayce, Garrett Irwin

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Engineering Whole Cell-Based Biosensors for Heavy Metal Detection Using Metalloregulatory Transcriptional Repressors of the SmtB/ArsR Family

This study focuses on engineering whole cell-based biosensors for heavy metal detection. Through the exploitation of metalloregulatory proteins, fabrication of metal ion-responsive biosensors is achieved. Metalloregulatory proteins of the SmtB/ArsR family including arsenite-responsive ArsR, cadmium-responsive CadC, zinc-responsive CzrA, and nickel-responsive NmtR were evaluated as biosensor sensing modules. Characterization of these four metal sensing modules was accomplished through quantifica… more

Date: May 2022

Creator: Draeger, Alison

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Advanced Distributed Optimization and Control Algorithms: Theory and Applications

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

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Low-Power Biopotential Signal Acquisition System for Biomedical Applications

The key requirements of a reliable neural signal recording system include low power to support long-term monitoring, low noise, minimum tissue damage, and wireless transmission. The neural spikes are also detected and sorted on-chip/off-chip to implement closed-loop neuromodulation in a high channel count setup. All these features together constitute an empirical neural recording system for neuroscience research. In this prospectus, we propose to develop a neural signal acquisition system with … more

Date: May 2022

Creator: Tasneem, Nishat Tarannum

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Advances to Convolutional Neural Network Architectures for Prediction and Classification with Applications in the First Dimensional Space

In the vast field of signal processing, machine learning is rapidly expanding its domain into all realms. As a constituent of this expansion, this thesis presents contributive work on advancements in machine learning algorithms by building on the shoulder of giants. The first chapter of this thesis contains enhancements to a CNN (convolutional neural network) for better classification of heartbeat arrhythmia. The network goes through a two stage development, the first being augmentations to the… more

Date: August 2022

Creator: Kim, Hae Jin

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Engineering Cardiac Organoid Vascularization via Fluid Shear Stress and Vascular-Promoting Growth Factors

Cardiovascular disease (CVD) is the leading cause of death internationally. Efforts to decrease CVD death has been explored through stem cell technology, specifically organoid formation. Current cardiac organoid models lack the vascular networks for nutrient supply and maturation. In this study, pillar perfusion technology is used to fabricate cardiac organoids and induce vascularization via dynamic culturing and the addition of vascular promoting growth factors (GFs). In addition to this study… more

Date: August 2022

Creator: Huerta Gomez, Angello

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Localization of UAVs Using Computer Vision in a GPS-Denied Environment

The main objective of this thesis is to propose a localization method for a UAV using various computer vision and machine learning techniques. It plays a major role in planning the strategy for the flight, and acts as a navigational contingency method, in event of a GPS failure. The implementation of the algorithms employs high processing capabilities of the graphics processing unit, making it more efficient. The method involves the working of various neural networks, working in synergy to perf… more

Date: May 2022

Creator: Aluri, Ram Charan

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Analysis of Compressive Sensing and Hardware Implementation of Orthogonal Matching Pursuit

My thesis is to understand the concept of compressive sensing algorithms. Compressive sensing will be a future alternate technique for the Nyquist rate, specific to some applications where sparsity property plays a major role. Software implementation of compressive sensing (CS) takes more time to reconstruct a signal from CS measurements, so we use the orthogonal matching pursuit and basis pursuit algorithms. We have used an image size of 256x256 is used for reconstruction and also implemented… more

Date: December 2022

Creator: Kadiyala, Mani Divya

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Emotion Recognition Using EEG Signals

Emotions have significant importance in human life in learning, decision-making, daily interaction, and perception of the surrounding environment. Hence, it has become very essential to detect and recognize a person's emotional states and to build a connection between humans and computers. This process is called brain-computer interaction (BCI) and is a vast field of research in neuroscience. Hence, in the past few years, emotion recognition has gained adequate attention in the research communi… more

Date: May 2022

Creator: Choudhary, Sairaj Mahesh

Item Type: Thesis or Dissertation

Partner: UNT Libraries

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

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)

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Air Corridors: Concept, Design, Simulation, and Rules of Engagement

Air corridors are an integral part of the advanced air mobility infrastructure. They are the virtual highways in the sky for transportation of people and cargo in the controlled airspace at an altitude of around 1000 ft. to 2000 ft. above the ground level. This paper presents fundamental insights into the design of air corridors with high operational efficiency as well as zero collisions. It begins with the definitions of air cube, skylane or track, intersection, vertiport, gate, and air corrid… more

Date: December 2021

Creator: Muna, Sabrina Islam

Item Type: Thesis or Dissertation

Partner: UNT Libraries