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open access

Neural Network Classifiers for Object Detection in Optical and Infrared Images

This thesis presents a series of neural network classifiers for object detection in both optical and infrared images. The focus of this work is on efficient and accurate solutions. The thesis discusses the evolution of the highly efficient and tiny network Binary Classification Vision Transformer (BC-ViT) and how through thoughtful modifications and improvements, the BC-ViT can be utilized for tasks of increasing complexity. Chapter 2 discusses the creation of BC-ViT and its initial use case fo… more

Date: December 2023

Creator: Adams, Ethan Richard

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Comparison and Evaluation of Existing Analog Circuit Simulator using Sigma-Delta Modulator

In the world of VLSI (very large scale integration) technology, there are many different types of circuit simulators that are used to design and predict the circuit behavior before actual fabrication of the circuit. In this thesis, I compared and evaluated existing circuit simulators by considering standard benchmark circuits. The circuit simulators which I evaluated and explored are Ngspice, Tclspice, Winspice (open source) and Spectre® (commercial). I also tested standard benchmarks using the… more

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Date: December 2006

Creator: Ale, Anil Kumar

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

Improving the Gameplay Experience and Guiding Bottom Players in an Interactive Mapping Game

In game based learning, motivating the players to learn by providing them a desirable gameplay experience is extremely important. However, it's not an easy task considering the quality of today's commercial non-educational games. Throughout the gameplay, the player should neither get overwhelmed nor under-challenged. The best way to do so is to monitor the player's actions in the game because these actions can tell the reason behind the player's performance. They can also tell about the player'… more

Date: May 2017

Creator: Ambekar, Kiran

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

Multi-perspective, Multi-modal Image Registration and Fusion

Multi-modal image fusion is an active research area with many civilian and military applications. Fusion is defined as strategic combination of information collected by various sensors from different locations or different types in order to obtain a better understanding of an observed scene or situation. Fusion of multi-modal images cannot be completed unless these two modalities are spatially aligned. In this research, I consider two important problems. Multi-modal, multi-perspective image reg… more

Date: August 2012

Creator: Belkhouche, Mohammed Yassine

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Investigation of the Effect of Functional Units/Connectivity Arrangement on Energy Consumption of Reconfigurable Architectures Using an Interactive Design Framework

Allocation of expensive resources, (such as Multiplier) onto the CGRA has been of interest from quite some time. For these architectural solutions to fulfill the designers' requirements, it is of utmost importance that the design offers high performance, low power consumption, and effective area utilization. The allocation problem is studied using the UntangledII gaming environment, which has been developed at the Reconfigurable Computing Lab at UNT to discover the design of custom domain-spec… more

Date: August 2017

Creator: Bhargava, Arpita

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

Measuring Vital Signs Using Smart Phones

Smart phones today have become increasingly popular with the general public for its diverse abilities like navigation, social networking, and multimedia facilities to name a few. These phones are equipped with high end processors, high resolution cameras, built-in sensors like accelerometer, orientation-sensor, light-sensor, and much more. According to comScore survey, 25.3% of US adults use smart phones in their daily lives. Motivated by the capability of smart phones and their extensive usage… more

Date: December 2010

Creator: Chandrasekaran, Vikram

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Efficient Convolutional Neural Networks for Image Processing Applications

Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in large memory and computational requirements. This thesis explores techniques for designing efficient convolutional networks including pixel shuffling, depthwise convolutions, and various activation fucntions. These techniques are then applied to two image processing domains: single-image super-resolution and image compression. The super-resolution model, TinyPSSR, is one-third the size of the next… more

Date: August 2022

Creator: Chiapputo, Nicholas J.

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters

DC to DC converters stabilize the voltage obtained from voltage sources such as solar power system, wind energy sources, wave energy sources, rectified voltage from alternators, and so forth. Hence, the need for improving its control algorithm is inevitable. Many algorithms are applied to DC to DC converters. This thesis designs fuzzy adaptive dynamic programming (Fuzzy ADP) algorithm. Also, this thesis implements both adaptive dynamic programming (ADP) and Fuzzy ADP on DC to DC converters to o… more

Date: May 2019

Creator: Chotikorn, Nattapong

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

The Art and Science of Data Analysis

This thesis aims to utilize data analysis and predictive modeling techniques and apply them in different domains for gaining insights. The topics were chosen keeping the same in mind. Analysis of customer interests is a crucial factor in present marketing trends and hence we worked on twitter data which is a significant part of digital marketing. Neuroscience, especially psychological behavior, is an important research area. We chose eye tracking data based on which we differentiated human conc… more

Date: May 2018

Creator: Daita, Ananda Rohit

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Development and Application of Novel Computer Vision and Machine Learning Techniques

The following thesis proposes solutions to problems in two main areas of focus, computer vision and machine learning. Chapter 2 utilizes traditional computer vision methods implemented in a novel manner to successfully identify overlays contained in broadcast footage. The remaining chapters explore machine learning algorithms and apply them in various manners to big data, multi-channel image data, and ECG data. L1 and L2 principal component analysis (PCA) algorithms are implemented and tested a… more

Date: August 2021

Creator: Depoian, Arthur Charles, II

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Development of Indium Oxide Nanowires as Efficient Gas Sensors

Crystalline indium oxide nanowires were synthesized following optimization of growth parameters. Oxygen vacancies were found to impact the optical and electronic properties of the as-grown nanowires. Photoluminescence measurements showed a strong U.V emission peak at 3.18 eV and defect peaks in the visible region at 2.85 eV, 2.66 eV and 2.5 eV. The defect peaks are attributed to neutral and charged states of oxygen vacancies. Post-growth annealing in oxygen environment and passivation with sulp… more

Date: December 2011

Creator: Gali, Pradeep

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Distributed Source Coding with LDPC Codes: Algorithms and Applications

The syndrome source coding for lossless data compression with side information based on fixed-length linear block codes is the main emphasis of this work. We demonstrate that the source entropy rate can be achieved for syndrome source coding with side information when the sources are correlated. Next, we examine employing LDPC codes to apply the channel and syndrome concepts in order to satisfy the Slepian Wolf limit. Our findings indicate that irregular codes perform significantly better when … more

Date: December 2022

Creator: Gandhi, Himani Chirag

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Incremental Learning with Large Datasets

This dissertation focuses on the novel learning strategy based on geometric support vector machines to address the difficulties of processing immense data set. Support vector machines find the hyper-plane that maximizes the margin between two classes, and the decision boundary is represented with a few training samples it becomes a favorable choice for incremental learning. The dissertation presents a novel method Geometric Incremental Support Vector Machines (GISVMs) to address both efficiency… more

Date: May 2012

Creator: Giritharan, Balathasan

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Deep Learning Approach for Sensing Cognitive Radio Channel Status

Cognitive Radio (CR) technology creates the opportunity for unlicensed users to make use of the spectral band provided it does not interfere with any licensed user. It is a prominent tool with spectrum sensing functionality to identify idle channels and let the unlicensed users avail them. Thus, the CR technology provides the consumers access to a very large spectrum, quality spectral utilization, and energy efficiency due to spectral load balancing. However, the full potential of the CR techno… more

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Date: December 2019

Creator: Gottapu, Srinivasa Kiran

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Design and Implementation of Communication Platform for Autonomous Decentralized Systems

This thesis deals with the decentralized autonomous system, in which individual nodes acting like peers, communicate and participate in collaborative tasks and decision making processes. An experimental test-bed is created using four Garcia robots. The robots act like peers and interact with each other using user datagram protocol (UDP) messages. Each robot continuously monitors for messages coming from other robots and respond accordingly. Each robot broadcasts its location to all the other ro… more

Date: December 2010

Creator: Gottipati, Naga Sravani

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

The Effect of Mobility on Wireless Sensor Networks

Wireless sensor networks (WSNs) have gained attention in recent years with the proliferation of the micro-electro-mechanical systems, which has led to the development of smart sensors. Smart sensors has brought WSNs under the spotlight and has created numerous different areas of research such as; energy consumption, convergence, network structures, deployment methods, time delay, and communication protocols. Convergence rates associated with information propagations of the networks will be ques… more

Date: August 2014

Creator: Hasir, Ibrahim

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Models to Combat Email Spam Botnets and Unwanted Phone Calls

With the amount of email spam received these days it is hard to imagine that spammers act individually. Nowadays, most of the spam emails have been sent from a collection of compromised machines controlled by some spammers. These compromised computers are often called bots, using which the spammers can send massive volume of spam within a short period of time. The motivation of this work is to understand and analyze the behavior of spammers through a large collection of spam mails. My research … more

Date: May 2008

Creator: Husna, Husain

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Traditional and Deep Learning Approaches to Color Image Compression and Pattern Recognition Problems

This thesis includes three separate research projects focusing on computer vision principles and deep learning pattern recognition problems. Chapter 3 entails color quantization applications using traditional Kmeans clustering techniques and random selection of color techniques within the red, green, blue (RGB) color space to maintain a high-quality image while significantly reducing image file size. Chapter 4 consists of a handwriting character recognition algorithm using backpropagation to cl… more

Date: August 2021

Creator: Jaques, Lorenzo E

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Non-Uniform Grid-Based Coordinated Routing in Wireless Sensor Networks

Wireless sensor networks are ad hoc networks of tiny battery powered sensor nodes that can organize themselves to form self-organized networks and collect information regarding temperature, light, and pressure in an area. Though the applications of sensor networks are very promising, sensor nodes are limited in their capability due to many factors. The main limitation of these battery powered nodes is energy. Sensor networks are expected to work for long periods of time once deployed and it bec… more

Date: August 2008

Creator: Kadiyala, Priyanka

Item Type: Thesis or Dissertation

Partner: UNT Libraries

Design of Low-Power Front End Compressive Sensing Circuitry and Energy Harvesting Transducer Modeling for Self-Powered Motion Sensor

Compressed sensing (CS) is an innovative approach of signal processing that facilitates sub-Nyquist processing of bio-signals, such as a neural signal, electrocardiogram (ECG), and electroencephalogram (EEG). This strategy can be used to lower the data rate to realize ultra-low-power performance, As the count of recording channels increases, data volume is increased resulting in impermissible transmitting power. This thesis work presents the implementation of a CMOS-based front-end design with … more

Date: August 2021

Creator: Kakaraparty, Karthikeya Anil Kumar

Item Type: Thesis or Dissertation

Partner: UNT Libraries

open access

Employment of dual frequency excitation method to improve the accuracy of an optical current sensor, by measuring both current and temperature.

Optical current sensors (OCSs) are initially developed to measure relatively large current over a wide range of frequency band. They are also used as protective devices in the event a fault occurs due to a short circuit, in the power generation and distribution industries. The basic principal used in OCS is the Faraday effect. When a light guiding faraday medium is placed in a magnetic field which is produced by the current flowing in the conductor around the magnetic core, the plane of polariz… more

Date: December 2008

Creator: Karri, Avinash

Item Type: Thesis or Dissertation

Partner: UNT Libraries