UNT Theses and Dissertations - 106 Matching Results

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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
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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
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Shepherding Network Security Protocols as They Transition to New Atmospheres: A New Paradigm in Network Protocol Analysis

Description: The solutions presented in this dissertation describe a new paradigm in which we shepherd these network security protocols through atmosphere transitions, offering new ways to analyze and monitor the state of the protocol. The approach involves identifying a protocols transitional weaknesses through adaption of formal models, measuring the weakness as it exists in the wild by statically analyzing applications, and show how to use network traffic analysis to monitor protocol implementations goin… more
Date: December 2019
Creator: Talkington, Gregory Joshua
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Partner: UNT Libraries

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
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Partner: UNT Libraries
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Application of Adaptive Techniques in Regression Testing for Modern Software Development

Description: In this dissertation we investigate the applicability of different adaptive techniques to improve the effectiveness and efficiency of the regression testing. Initially, we introduce the concept of regression testing. We then perform a literature review of current practices and state-of-the-art regression testing techniques. Finally, we advance the regression testing techniques by performing four empirical studies in which we use different types of information (e.g. user session, source code, co… more
Date: August 2019
Creator: Azizi, Maral
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Partner: UNT Libraries
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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
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Partner: UNT Libraries

SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction

Description: Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words in the graph and they are not flexible enough to incorporate multiple types of information. For instance, nodes in a network may exhibit diverse connectivity patterns which are not captured by the graph-based ranking methods. To address this, we present a new approach to keyphrase extraction that represents the document … more
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Date: August 2019
Creator: Florescu, Corina Andreea
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Partner: UNT Libraries
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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
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Partner: UNT Libraries
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An Efficient Approach for Dengue Mitigation: A Computational Framework

Description: Dengue mitigation is a major research area among scientist who are working towards an effective management of the dengue epidemic. An effective dengue mitigation requires several other important components. These components include an accurate epidemic modeling, an efficient epidemic prediction, and an efficient resource allocation for controlling of the spread of the dengue disease. Past studies assumed homogeneous response pattern of the dengue epidemic to climate conditions throughout the r… more
Date: May 2019
Creator: Dinayadura, Nirosha
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems

Description: With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data. As the scale and complexity of computer systems increase, we expect these systems to provide dependable and energy-efficient services and computation. Although hard drives are reliable in general, they are the most commonly replaced hardware components. Disk failures cause data corruption and even data loss, which can significantly affect system per… more
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Date: May 2019
Creator: Huang, Song
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Exploring Physical Unclonable Functions for Efficient Hardware Assisted Security in the IoT

Description: Modern cities are undergoing rapid expansion. The number of connected devices in the networks in and around these cities is increasing every day and will exponentially increase in the next few years. At home, the number of connected devices is also increasing with the introduction of home automation appliances and applications. Many of these appliances are becoming smart devices which can track our daily routines. It is imperative that all these devices should be secure. When cryptographic keys… more
Date: May 2019
Creator: Yanambaka, Venkata Prasanth
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Partner: UNT Libraries
open access

Extracting Temporally-Anchored Spatial Knowledge

Description: In my dissertation, I elaborate on the work that I have done to extract temporally-anchored spatial knowledge from text, including both intra- and inter-sentential knowledge. I also detail multiple approaches to infer spatial timeline of a person from biographies and social media. I present and analyze two strategies to annotate information regarding whether a given entity is or is not located at some location, and for how long with respect to an event. Specifically, I leverage semantic roles o… more
Date: May 2019
Creator: Vempala, Alakananda
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Methodical Evaluation of Processing-in-Memory Alternatives

Description: In this work, I characterized a series of potential application kernels using a set of architectural and non-architectural metrics, and performed a comparison of four different alternatives for processing-in-memory cores (PIMs): ARM cores, GPGPUs, coarse-grained reconfigurable dataflow (DF-PIM), and a domain specific architecture using SIMD PIM engine consisting of a series of multiply-accumulate circuits (MACs). For each PIM alternative I investigated how performance and energy efficiency chan… more
Date: May 2019
Creator: Scrbak, Marko
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Partner: UNT Libraries

Revealing the Positive Meaning of a Negation

Description: Negation is a complex phenomenon present in all human languages, allowing for the uniquely human capacities of denial, contradiction, misrepresentation, lying, and irony. It is in the first place a phenomenon of semantical opposition. Sentences containing negation are generally (a) less informative than affirmative ones, (b) morphosyntactically more marked—all languages have negative markers while only a few have affirmative markers, and (c) psychologically more complex and harder to process. N… more
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Date: May 2019
Creator: Sarabi, Zahra
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A Study on Flat-Address-Space Heterogeneous Memory Architectures

Description: In this dissertation, we present a number of studies that primarily focus on data movement challenges among different types of memories (viz., 3D-DRAM, DDRx DRAM and NVM) employed together as a flat-address heterogeneous memory system. We introduce two different hardware-based techniques for prefetching data from slow off-chip phase change memory (PCM) to fast on-chip memories. The prefetching techniques efficiently fetch data from PCM and place that data into processor-resident or 3D-DRAM-resi… more
Date: May 2019
Creator: Islam, Mahzabeen
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Partner: UNT Libraries
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A Control Theoretic Approach for Resilient Network Services

Description: Resilient networks have the ability to provide the desired level of service, despite challenges such as malicious attacks and misconfigurations. The primary goal of this dissertation is to be able to provide uninterrupted network services in the face of an attack or any failures. This dissertation attempts to apply control system theory techniques with a focus on system identification and closed-loop feedback control. It explores the benefits of system identification technique in designing and va… more
Date: December 2018
Creator: Vempati, Jagannadh Ambareesh
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Partner: UNT Libraries
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Detection of Generalizable Clone Security Coding Bugs Using Graphs and Learning Algorithms

Description: This research methodology isolates coding properties and identifies the probability of security vulnerabilities using machine learning and historical data. Several approaches characterize the effectiveness of detecting security-related bugs that manifest as vulnerabilities, but none utilize vulnerability patch information. The main contribution of this research is a framework to analyze LLVM Intermediate Representation Code and merging core source code representations using source code properti… more
Date: December 2018
Creator: Mayo, Quentin R
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Improving Software Quality through Syntax and Semantics Verification of Requirements Models

Description: Software defects can frequently be traced to poorly-specified requirements. Many software teams manage their requirements using tools such as checklists and databases, which lack a formal semantic mapping to system behavior. Such a mapping can be especially helpful for safety-critical systems. Another limitation of many requirements analysis methods is that much of the analysis must still be done manually. We propose techniques that automate portions of the requirements analysis process, as wel… more
Date: December 2018
Creator: Gaither, Danielle
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Partner: UNT Libraries
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On-Loom Fabric Defect Inspection Using Contact Image Sensors and Activation Layer Embedded Convolutional Neural Network

Description: Malfunctions on loom machines are the main causes of faulty fabric production. An on-loom fabric inspection system is a real-time monitoring device that enables immediate defect detection for human intervention. This dissertation presented a solution for the on-loom fabric defect inspection, including the new hardware design—the configurable contact image sensor (CIS) module—for on-loom fabric scanning and the defect detection algorithms. The main contributions of this work include (1) creating… more
Date: December 2018
Creator: Ouyang, Wenbin
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Partner: UNT Libraries
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Ontology Based Security Threat Assessment and Mitigation for Cloud Systems

Description: A malicious actor often relies on security vulnerabilities of IT systems to launch a cyber attack. Most cloud services are supported by an orchestration of large and complex systems which are prone to vulnerabilities, making threat assessment very challenging. In this research, I developed formal and practical ontology-based techniques that enable automated evaluation of a cloud system's security threats. I use an architecture for threat assessment of cloud systems that leverages a dynamically … more
Date: December 2018
Creator: Kamongi, Patrick
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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
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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.
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Partner: UNT Libraries
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Dataflow Processing in Memory Achieves Significant Energy Efficiency

Description: The large difference between processor CPU cycle time and memory access time, often referred to as the memory wall, severely limits the performance of streaming applications. Some data centers have shown servers being idle three out of four clocks. High performance instruction sequenced systems are not energy efficient. The execute stage of even simple pipeline processors only use 9% of the pipeline's total energy. A hybrid dataflow system within a memory module is shown to have 7.2 times t… more
Date: August 2018
Creator: Shelor, Charles F.
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Partner: UNT Libraries
open access

A Multi-Modal Insider Threat Detection and Prevention based on Users' Behaviors

Description: Insider threat is one of the greatest concerns for information security that could cause more significant financial losses and damages than any other attack. However, implementing an efficient detection system is a very challenging task. It has long been recognized that solutions to insider threats are mainly user-centric and several psychological and psychosocial models have been proposed. A user's psychophysiological behavior measures can provide an excellent source of information for detecti… more
Date: August 2018
Creator: Hashem, Yassir
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Partner: UNT Libraries
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