UNT Libraries - 302 Matching Results

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Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos

Description: Recently, disaster scene description and indexing challenges attract the attention of researchers. In this dissertation, we solve a disaster-related multi-labeling task using a newly developed Low Altitude Disaster Imagery dataset. In the first task, we realize video content by selecting a set of summary key frames to represent the video sequence. Through inter-frame differences, the key frames are generated. The key frame extraction of disaster-related video clips is a powerful tool that can e… more
Date: December 2021
Creator: Li, Yuan
Item Type: Refine your search to only Thesis or Dissertation

Online Testing of Context-Aware Android Applications

Description: This dissertation presents novel approaches to test context aware applications that suffer from a cost prohibitive number of context and GUI events and event combinations. The contributions of this work to test context aware applications under test include: (1) a real-world context events dataset from 82 Android users over a 30-day period, (2) applications of Markov models, Closed Sequential Pattern Mining (CloSPAN), Deep Neural Networks- Long Short Term Memory (LSTM) and Gated Recurrent Units … more
Date: December 2021
Creator: Piparia, Shraddha
Item Type: Refine your search to only Thesis or Dissertation
open access

Improving Memory Performance for Both High Performance Computing and Embedded/Edge Computing Systems

Description: CPU-memory bottleneck is a widely recognized problem. It is known that majority of high performance computing (HPC) database systems are configured with large memories and dedicated to process specific workloads like weather prediction, molecular dynamic simulations etc. My research on optimal address mapping improves the memory performance by increasing the channel and bank level parallelism. In an another research direction, I proposed and evaluated adaptive page migration techniques that o… more
Date: December 2021
Creator: Adavally, Shashank
Item Type: Refine your search to only Thesis or Dissertation

COVID-19 Diagnosis and Segmentation Using Machine Learning Analyses of Lung Computerized Tomography

Description: COVID-19 is a highly contagious and virulent disease caused by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). COVID-19 disease induces lung changes observed in lung computerized tomography (CT) and the percentage of those diseased areas on the CT correlates with the severity of the disease. Therefore, segmentation of CT images to delineate the diseased or lesioned areas is a logical first step to quantify disease severity, which will help physicians predict disease prognosis … more
Date: August 2021
Creator: Mittal, Bhuvan
Item Type: Refine your search to only Thesis or Dissertation
open access

An Extensible Computing Architecture Design for Connected Autonomous Vehicle System

Description: Autonomous vehicles have made milestone strides within the past decade. Advances up the autonomy ladder have come lock-step with the advances in machine learning, namely deep-learning algorithms and huge, open training sets. And while advances in CPUs have slowed, GPUs have edged into the previous decade's TOP 500 supercomputer territory. This new class of GPUs include novel deep-learning hardware that has essentially side-stepped Moore's law, outpacing the doubling observation by a factor of … more
Date: May 2021
Creator: Hochstetler, Jacob Daniel
Item Type: Refine your search to only Thesis or Dissertation
open access

An Artificial Intelligence-Driven Model-Based Analysis of System Requirements for Exposing Off-Nominal Behaviors

Description: With the advent of autonomous systems and deep learning systems, safety pertaining to these systems has become a major concern. The existing failure analysis techniques are not enough to thoroughly analyze the safety in these systems. Moreover, because these systems are created to operate in various conditions, they are susceptible to unknown safety issues. Hence, we need mechanisms which can take into account the complexity of operational design domains, identify safety issues other than failu… more
Date: May 2021
Creator: Madala, Kaushik
Item Type: Refine your search to only Thesis or Dissertation
open access

Hybrid Optimization Models for Depot Location-Allocation and Real-Time Routing of Emergency Deliveries

Description: Prompt and efficient intervention is vital in reducing casualty figures during epidemic outbreaks, disasters, sudden civil strife or terrorism attacks. This can only be achieved if there is a fit-for-purpose and location-specific emergency response plan in place, incorporating geographical, time and vehicular capacity constraints. In this research, a comprehensive emergency response model for situations of uncertainties (in locations' demand and available resources), typically obtainable in lo… more
Date: May 2021
Creator: Akwafuo, Sampson E
Item Type: Refine your search to only Thesis or Dissertation
open access

IoMT-Based Accurate Stress Monitoring for Smart Healthcare

Description: This research proposes Stress-Lysis, iLog and SaYoPillow to automatically detect and monitor the stress levels of a person. To self manage psychological stress in the framework of smart healthcare, a deep learning based novel system (Stress-Lysis) is proposed in this dissertation. The learning system is trained such that it monitors stress levels in a person through human body temperature, rate of motion and sweat during physical activity. The proposed deep learning system has been trained wit… more
Date: May 2021
Creator: Rachakonda, Laavanya
Item Type: Refine your search to only Thesis or Dissertation
open access

A Method of Combining GANs to Improve the Accuracy of Object Detection on Autonomous Vehicles

Description: As the technology in the field of computer vision becomes more and more mature, the autonomous vehicles have achieved rapid developments in recent years. However, the object detection and classification tasks of autonomous vehicles which are based on cameras may face problems when the vehicle is driving at a relatively high speed. One is that the camera will collect blurred photos when driving at high speed which may affect the accuracy of deep neural networks. The other is that small objects f… more
Date: December 2020
Creator: Ye, Fanjie
Item Type: Refine your search to only Thesis or Dissertation

Red Door: Firewall Based Access Control in ROS

Description: ROS is a set of computer operating system framework designed for robot software development, and Red Door, a lightweight software firewall that serves the ROS, is intended to strengthen its security. ROS has many flaws in security, such as clear text transmission of data, no authentication mechanism, etc. Red Door can achieve identity verification and access control policy with a small performance loss, all without modifying the ROS source code, to ensure the availability and authentication of … more
Date: December 2020
Creator: Shen, Ziyi
Item Type: Refine your search to only Thesis or Dissertation

Combinatorial-Based Testing Strategies for Mobile Application Testing

Description: This work introduces three new coverage criteria based on combinatorial-based event and element sequences that occur in the mobile environment. The novel combinatorial-based criteria are used to reduce, prioritize, and generate test suites for mobile applications. The combinatorial-based criteria include unique coverage of events and elements with different respects to ordering. For instance, consider the coverage of a pair of events, e1 and e2. The least strict criterion, Combinatorial Coverag… more
Date: December 2020
Creator: Michaels, Ryan P.
Item Type: Refine your search to only Thesis or Dissertation

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
Item Type: Refine your search to only Thesis or Dissertation
open access

Kriging Methods to Exploit Spatial Correlations of EEG Signals for Fast and Accurate Seizure Detection in the IoMT

Description: Epileptic seizure presents a formidable threat to the life of its sufferers, leaving them unconscious within seconds of its onset. Having a mortality rate that is at least twice that of the general population, it is a true cause for concern which has gained ample attention from various research communities. About 800 million people in the world will have at least one seizure experience in their lifespan. Injuries sustained during a seizure crisis are one of the leading causes of death in epilep… more
Date: August 2020
Creator: Olokodana, Ibrahim Latunde
Item Type: Refine your search to only Thesis or Dissertation

Extracting Dimensions of Interpersonal Interactions and Relationships

Description: People interact with each other through natural language to express feelings, thoughts, intentions, instructions etc. These interactions as a result form relationships. Besides names of relationships like siblings, spouse, friends etc., a number of dimensions (e.g. cooperative vs. competitive, temporary vs. enduring, equal vs. hierarchical etc.) can also be used to capture the underlying properties of interpersonal interactions and relationships. More fine-grained descriptors (e.g. angry, rude,… more
Date: August 2020
Creator: Rashid, Farzana
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation

Cooperative Perception for Connected Autonomous Vehicle Edge Computing System

Description: This dissertation first conducts a study on raw-data level cooperative perception for enhancing the detection ability of self-driving systems for connected autonomous vehicles (CAVs). A LiDAR (Light Detection and Ranging sensor) point cloud-based 3D object detection method is deployed to enhance detection performance by expanding the effective sensing area, capturing critical information in multiple scenarios and improving detection accuracy. In addition, a point cloud feature based cooperative… more
Date: August 2020
Creator: Chen, Qi
Item Type: Refine your search to only Thesis or Dissertation

Optimization of Massive MIMO Systems for 5G Networks

Description: In the first part of the dissertation, we provide an extensive overview of sub-6 GHz wireless access technology known as massive multiple-input multiple-output (MIMO) systems, highlighting its benefits, deployment challenges, and the key enabling technologies envisaged for 5G networks. We investigate the fundamental issues that degrade the performance of massive MIMO systems such as pilot contamination, precoding, user scheduling, and signal detection. In the second part, we optimize the perfor… more
Date: August 2020
Creator: Chataut, Robin
Item Type: Refine your search to only Thesis or Dissertation
open access

Towards a Unilateral Sensing System for Detecting Person-to-Person Contacts

Description: The contact patterns among individuals can significantly affect the progress of an infectious outbreak within a population. Gathering data about these interaction and mixing patterns is essential to assess computational modeling of infectious diseases. Various self-report approaches have been designed in different studies to collect data about contact rates and patterns. Recent advances in sensing technology provide researchers with a bilateral automated data collection devices to facilitate co… more
Date: December 2018
Creator: Amara, Pavan Kumar
Item Type: Refine your search to only Thesis or Dissertation

A Top-Down Policy Engineering Framework for Attribute-Based Access Control

Description: The purpose of this study is to propose a top-down policy engineering framework for attribute-based access control (ABAC) that aims to automatically extract ACPs from requirement specifications documents, and then, using the extracted policies, build or update an ABAC model. We specify a procedure that consists of three main components: 1) ACP sentence identification, 2) policy element extraction, and 3) ABAC model creation and update. ACP sentence identification processes unrestricted natural … more
Date: May 2020
Creator: Narouei, Masoud
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
open access

Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning

Description: Intelligent transportation systems (ITS) are essential tools for traffic planning, analysis, and forecasting that can utilize the huge amount of traffic data available nowadays. In this work, we aggregated detailed traffic flow sensor data, Waze reports, OpenStreetMap (OSM) features, and weather data, from California Bay Area for 6 months. Using that data, we studied three novel ITS applications using convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The first experimen… more
Date: May 2020
Creator: Alammari, Ali
Item Type: Refine your search to only Thesis or Dissertation

Encrypted Collaborative Editing Software

Description: Cloud-based collaborative editors enable real-time document processing via remote connections. Their common application is to allow Internet users to collaboratively work on their documents stored in the cloud, even if these users are physically a world apart. However, this convenience comes at a cost in terms of user privacy. Hence, the growth of popularity of cloud computing application stipulates the growth in importance of cloud security. A major concern with the cloud is who has access to … more
Date: May 2020
Creator: Tran, Augustin
Item Type: Refine your search to only Thesis or Dissertation

Multi-Source Large Scale Bike Demand Prediction

Description: Current works of bike demand prediction mainly focus on cluster level and perform poorly on predicting demands of a single station. In the first task, we introduce a contextual based bike demand prediction model, which predicts bike demands for per station by combining spatio-temporal network and environment contexts synergistically. Furthermore, since people's movement information is an important factor, which influences the bike demands of each station. To have a better understanding of peopl… more
Date: May 2020
Creator: Zhou, Yang
Item Type: Refine your search to only Thesis or Dissertation

Determining Event Outcomes from Social Media

Description: An event is something that happens at a time and location. Events include major life events such as graduating college or getting married, and also simple day-to-day activities such as commuting to work or eating lunch. Most work on event extraction detects events and the entities involved in events. For example, cooking events will usually involve a cook, some utensils and appliances, and a final product. In this work, we target the task of determining whether events result in their expected o… more
Date: May 2020
Creator: Murugan, Srikala
Item Type: Refine your search to only Thesis or Dissertation
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