Search Results

Spatial Partitioning Algorithms for Solving Location-Allocation Problems

Description: This dissertation presents spatial partitioning algorithms to solve location-allocation problems. Location-allocations problems pertain to both the selection of facilities to serve demand at demand points and the assignment of demand points to the selected or known facilities. In the first part of this dissertation, we focus on the well known and well-researched location-allocation problem, the "p-median problem", which is a distance-based location-allocation problem that involves selection and… more
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Date: December 2019
Creator: Gwalani, Harsha
Partner: UNT Libraries
open access

Computational Methods to Optimize High-Consequence Variants of the Vehicle Routing Problem for Relief Networks in Humanitarian Logistics

Description: Optimization of relief networks in humanitarian logistics often exemplifies the need for solutions that are feasible given a hard constraint on time. For instance, the distribution of medical countermeasures immediately following a biological disaster event must be completed within a short time-frame. When these supplies are not distributed within the maximum time allowed, the severity of the disaster is quickly exacerbated. Therefore emergency response plans that fail to facilitate the transpo… more
Date: August 2018
Creator: Urbanovsky, Joshua C.
Partner: UNT Libraries
open access

Modeling Epidemics on Structured Populations: Effects of Socio-demographic Characteristics and Immune Response Quality

Description: Epidemiologists engage in the study of the distribution and determinants of health-related states or events in human populations. Eventually, they will apply that study to prevent and control problems and contingencies associated with the health of the population. Due to the spread of new pathogens and the emergence of new bio-terrorism threats, it has become imperative to develop new and expand existing techniques to equip public health providers with robust tools to predict and control health… more
Date: August 2014
Creator: Reyes Silveyra, Jorge A.
Partner: UNT Libraries
open access

A Computational Methodology for Addressing Differentiated Access of Vulnerable Populations During Biological Emergencies

Description: Mitigation response plans must be created to protect affected populations during biological emergencies resulting from the release of harmful biochemical substances. Medical countermeasures have been stockpiled by the federal government for such emergencies. However, it is the responsibility of local governments to maintain solid, functional plans to apply these countermeasures to the entire target population within short, mandated time frames. Further, vulnerabilities in the population may ser… more
Date: August 2014
Creator: O'Neill, Martin Joseph, II
Partner: UNT Libraries
open access

Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications

Description: Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and universities must also keep up (nearly 70% of primary and secondary schools in the UK are now using tablets for various purposes). As these numbers are likely going to follow the same increasing trend, it is imperative for schools to adapt and benefit from the advantages offered by technology: real-time processing of data, availabilit… more
Date: December 2018
Creator: Bulgarov, Florin Adrian
Partner: UNT Libraries
open access

Hybrid Approaches in Test Suite Prioritization

Description: The rapid advancement of web and mobile application technologies has recently posed numerous challenges to the Software Engineering community, including how to cost-effectively test applications that have complex event spaces. Many software testing techniques attempt to cost-effectively improve the quality of such software. This dissertation primarily focuses on that of hybrid test suite prioritization. The techniques utilize two or more criteria to perform test suite prioritization as it is of… more
Date: May 2018
Creator: Nurmuradov, Dmitriy
Partner: UNT Libraries
open access

Detection and Classification of Heart Sounds Using a Heart-Mobile Interface

Description: An early detection of heart disease can save lives, caution individuals and also help to determine the type of treatment to be given to the patients. The first test of diagnosing a heart disease is through auscultation - listening to the heart sounds. The interpretation of heart sounds is subjective and requires a professional skill to identify the abnormalities in these sounds. A medical practitioner uses a stethoscope to perform an initial screening by listening for irregular sounds from the … more
Date: December 2016
Creator: Thiyagaraja, Shanti
Partner: UNT Libraries
open access

Privacy Preserving Machine Learning as a Service

Description: Machine learning algorithms based on neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provide solutions for running deep neural networks over encrypted data. In this paper, we develop new techniques to adopt deep neural networks within the practical limitation of current homomorphic encrypt… more
Date: May 2020
Creator: Hesamifard, Ehsan
Partner: UNT Libraries

Advanced Stochastic Signal Processing and Computational Methods: Theories and Applications

Description: Compressed sensing has been proposed as a computationally efficient method to estimate the finite-dimensional signals. The idea is to develop an undersampling operator that can sample the large but finite-dimensional sparse signals with a rate much below the required Nyquist rate. In other words, considering the sparsity level of the signal, the compressed sensing samples the signal with a rate proportional to the amount of information hidden in the signal. In this dissertation, first, we emplo… more
Date: August 2022
Creator: Robaei, Mohammadreza
Partner: UNT Libraries
open access

Validation and Evaluation of Emergency Response Plans through Agent-Based Modeling and Simulation

Description: Biological emergency response planning plays a critical role in protecting the public from possible devastating results of sudden disease outbreaks. These plans describe the distribution of medical countermeasures across a region using limited resources within a restricted time window. Thus, the ability to determine that such a plan will be feasible, i.e. successfully provide service to affected populations within the time limit, is crucial. Many of the current efforts to validate plans are in … more
Date: May 2018
Creator: Helsing, Joseph
Partner: UNT Libraries
open access

Skin Detection in Image and Video Founded in Clustering and Region Growing

Description: Researchers have been involved for decades in search of an efficient skin detection method. Yet current methods have not overcome the major limitations. To overcome these limitations, in this dissertation, a clustering and region growing based skin detection method is proposed. These methods together with a significant insight result in a more effective algorithm. The insight concerns a capability to define dynamically the number of clusters in a collection of pixels organized as an image. In … more
Date: August 2019
Creator: Islam, A B M Rezbaul
Partner: UNT Libraries
open access

Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems

Description: High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective log analysis for understanding system behaviors and identifying system anomalies and failures is highly challenging. Existing log analysis approaches use line-by-line message processing. They are not effective for discovering subtle behavior patterns and their transitions, and thus may overlook some critic… more
Date: December 2019
Creator: Li, Zongze
Partner: UNT Libraries
open access

Monitoring Dengue Outbreaks Using Online Data

Description: Internet technology has affected humans' lives in many disciplines. The search engine is one of the most important Internet tools in that it allows people to search for what they want. Search queries entered in a web search engine can be used to predict dengue incidence. This vector borne disease causes severe illness and kills a large number of people every year. This dissertation utilizes the capabilities of search queries related to dengue and climate to forecast the number of dengue cases. … more
Date: May 2014
Creator: Chartree, Jedsada
Partner: UNT Libraries

Frameworks for Attribute-Based Access Control (ABAC) Policy Engineering

Description: In this disseration we propose semi-automated top-down policy engineering approaches for attribute-based access control (ABAC) development. Further, we propose a hybrid ABAC policy engineering approach to combine the benefits and address the shortcomings of both top-down and bottom-up approaches. In particular, we propose three frameworks: (i) ABAC attributes extraction, (ii) ABAC constraints extraction, and (iii) hybrid ABAC policy engineering. Attributes extraction framework compris… more
Date: August 2020
Creator: Alohaly, Manar
Partner: UNT Libraries

A Performance and Security Analysis of Elliptic Curve Cryptography Based Real-Time Media Encryption

Description: This dissertation emphasizes the security aspects of real-time media. The problems of existing real-time media protections are identified in this research, and viable solutions are proposed. First, the security of real-time media depends on the Secure Real-time Transport Protocol (SRTP) mechanism. We identified drawbacks of the existing SRTP Systems, which use symmetric key encryption schemes, which can be exploited by attackers. Elliptic Curve Cryptography (ECC), an asymmetric key cryptography… more
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Date: December 2019
Creator: Sen, Nilanjan
Partner: UNT Libraries
open access

Building Reliable and Cost-Effective Storage Systems for High-Performance Computing Datacenters

Description: In this dissertation, I first incorporate declustered redundant array of independent disks (RAID) technology in the existing system by maximizing the aggregated recovery I/O and accelerating post-failure remediation. Our analytical model affirms the accelerated data recovery stage significantly improves storage reliability. Then I present a proactive data protection framework that augments storage availability and reliability. It utilizes the failure prediction methods to efficiently rescue dat… more
Date: August 2020
Creator: Qiao, Zhi
Partner: UNT Libraries
open access

Paradigm Shift from Vague Legal Contracts to Blockchain-Based Smart Contracts

Description: In this dissertation, we address the problem of vagueness in traditional legal contracts by presenting novel methodologies that aid in the paradigm shift from traditional legal contracts to smart contracts. We discuss key enabling technologies that assist in converting the traditional natural language legal contract, which is full of vague words, phrases, and sentences to the blockchain-based precise smart contract, including metrics evaluation during our conversion experiment. To address the c… more
Date: July 2023
Creator: Upadhyay, Kritagya Raj
Partner: UNT Libraries
open access

A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings

Description: This dissertation presents a data-driven computational epidemic framework to simulate disease epidemics at global mass gatherings. The annual Muslim pilgrimage to Makkah, Saudi Arabia is used to demonstrate the simulation and analysis of various disease transmission scenarios throughout the different stages of the event from the arrival to the departure of international participants. The proposed agent-based epidemic model efficiently captures the demographic, spatial, and temporal heterogeneit… more
Date: May 2019
Creator: Alshammari, Sultanah
Partner: UNT Libraries
open access

The Value of Everything: Ranking and Association with Encyclopedic Knowledge

Description: This dissertation describes WikiRank, an unsupervised method of assigning relative values to elements of a broad coverage encyclopedic information source in order to identify those entries that may be relevant to a given piece of text. The valuation given to an entry is based not on textual similarity but instead on the links that associate entries, and an estimation of the expected frequency of visitation that would be given to each entry based on those associations in context. This estimati… more
Date: December 2009
Creator: Coursey, Kino High
Partner: UNT Libraries
open access

Joint Schemes for Physical Layer Security and Error Correction

Description: The major challenges facing resource constraint wireless devices are error resilience, security and speed. Three joint schemes are presented in this research which could be broadly divided into error correction based and cipher based. The error correction based ciphers take advantage of the properties of LDPC codes and Nordstrom Robinson code. A cipher-based cryptosystem is also presented in this research. The complexity of this scheme is reduced compared to conventional schemes. The securities… more
Date: August 2011
Creator: Adamo, Oluwayomi Bamidele
Partner: UNT Libraries
open access

Incremental Learning with Large Datasets

Description: 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
Partner: UNT Libraries
open access

Epileptic Seizure Detection and Control in the Internet of Medical Things (IoMT) Framework

Description: Epilepsy affects up to 1% of the world's population and approximately 2.5 million people in the United States. A considerable portion (30%) of epilepsy patients are refractory to antiepileptic drugs (AEDs), and surgery can not be an effective candidate if the focus of the seizure is on the eloquent cortex. To overcome the problems with existing solutions, a notable portion of biomedical research is focused on developing an implantable or wearable system for automated seizure detection and contr… more
Date: May 2020
Creator: Sayeed, Md Abu
Partner: UNT Libraries
open access

Metamodeling-based Fast Optimization of Nanoscale Ams-socs

Description: Modern consumer electronic systems are mostly based on analog and digital circuits and are designed as analog/mixed-signal systems on chip (AMS-SoCs). the integration of analog and digital circuits on the same die makes the system cost effective. in AMS-SoCs, analog and mixed-signal portions have not traditionally received much attention due to their complexity. As the fabrication technology advances, the simulation times for AMS-SoC circuits become more complex and take significant amounts of … more
Date: May 2012
Creator: Garitselov, Oleg
Partner: UNT Libraries
open access

Geostatistical Inspired Metamodeling and Optimization of Nanoscale Analog Circuits

Description: The current trend towards miniaturization of modern consumer electronic devices significantly affects their design. The demand for efficient all-in-one appliances leads to smaller, yet more complex and powerful nanoelectronic devices. The increasing complexity in the design of such nanoscale Analog/Mixed-Signal Systems-on-Chip (AMS-SoCs) presents difficult challenges to designers. One promising design method used to mitigate the burden of this design effort is the use of metamodeling (surrogate… more
Date: May 2014
Creator: Okobiah, Oghenekarho
Partner: UNT Libraries
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