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open access

Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies

Description: POD (Point of Dispensing)-based emergency response plans involving mass prophylaxis may seem feasible when considering the choice of dispensing points within a region, overall population density, and estimated traffic demands. However, the plan may fail to serve particular vulnerable sub-populations, resulting in access disparities during emergency response. Federal authorities emphasize on the need to identify sub-populations that cannot avail regular services during an emergency due to their … more
Date: August 2015
Creator: Indrakanti, Saratchandra
Item Type: Refine your search to only Thesis or Dissertation
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.
Item Type: Refine your search to only Thesis or Dissertation
open access

Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams

Description: Virtual teams in industry are increasingly being used to develop software, create products, and accomplish tasks. However, analyzing those collaborations under same-time/different-place conditions is well-known to be difficult. In order to overcome some of these challenges, this research was concerned with the study of collaboration-based, content-based and temporal measures and their ability to predict cohesion within global software development projects. Messages were collected from three sof… more
Date: May 2017
Creator: Castro Hernandez, Alberto
Item Type: Refine your search to only Thesis or Dissertation
open access

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
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

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

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

Data-Driven Decision-Making Framework for Large-Scale Dynamical Systems under Uncertainty

Description: Managing large-scale dynamical systems (e.g., transportation systems, complex information systems, and power networks, etc.) in real-time is very challenging considering their complicated system dynamics, intricate network interactions, large scale, and especially the existence of various uncertainties. To address this issue, intelligent techniques which can quickly design decision-making strategies that are robust to uncertainties are needed. This dissertation aims to conquer these challenges … more
Date: August 2016
Creator: Xie, Junfei
Item Type: Refine your search to only Thesis or Dissertation
open access

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.
Item Type: Refine your search to only Thesis or Dissertation

Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content

Description: Hateful content and offensive language are commonplace on social media platforms. Many surveys prove that high percentages of social media users experience online harassment. Previous efforts have been made to detect and remove online hate content automatically. However, removing users' content restricts free speech. A complementary strategy to address hateful content that does not interfere with free speech is to counter the hate with new content to divert the discourse away from the hate. In … more
This item is restricted from view until June 1, 2025.
Date: May 2023
Creator: Albanyan, Abdullah Abdulaziz
Item Type: Refine your search to only Thesis or Dissertation

Deep Learning Optimization and Acceleration

Description: The novelty of this dissertation is the optimization and acceleration of deep neural networks aimed at real-time predictions with minimal energy consumption. It consists of cross-layer optimization, output directed dynamic quantization, and opportunistic near-data computation for deep neural network acceleration. On two datasets (CIFAR-10 and CIFAR-100), the proposed deep neural network optimization and acceleration frameworks are tested using a variety of Convolutional neural networks (e.g., L… more
This item is restricted from view until September 1, 2024.
Date: August 2022
Creator: Jiang, Beilei
Item Type: Refine your search to only Thesis or Dissertation
open access

Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications

Description: Environmental monitoring represents a major application domain for wireless sensor networks (WSN). However, despite significant advances in recent years, there are still many challenging issues to be addressed to exploit the full potential of the emerging WSN technology. In this dissertation, we introduce the design and implementation of low-power wireless sensor networks for long-term, autonomous, and near-real-time environmental monitoring applications. We have developed an out-of-box solutio… more
Date: May 2010
Creator: Yang, Jue
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
open access

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

Detection of Temporal Events and Abnormal Images for Quality Analysis in Endoscopy Videos

Description: Recent reports suggest that measuring the objective quality is very essential towards the success of colonoscopy. Several quality indicators (i.e. metrics) proposed in recent studies are implemented in software systems that compute real-time quality scores for routine screening colonoscopy. Most quality metrics are derived based on various temporal events occurred during the colonoscopy procedure. The location of the phase boundary between the insertion and the withdrawal phases and the amount … more
Date: August 2013
Creator: Nawarathna, Ruwan D.
Item Type: Refine your search to only Thesis or Dissertation
open access

Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos

Description: There are several types of disorders that affect our colon’s ability to function properly such as colorectal cancer, ulcerative colitis, diverticulitis, irritable bowel syndrome and colonic polyps. Automatic detection of these diseases would inform the endoscopist of possible sub-optimal inspection during the colonoscopy procedure as well as save time during post-procedure evaluation. But existing systems only detects few of those disorders like colonic polyps. In this dissertation, we address … more
Date: December 2015
Creator: Dahal, Ashok
Item Type: Refine your search to only Thesis or Dissertation
open access

Direct Online/Offline Digital Signature Schemes.

Description: Online/offline signature schemes are useful in many situations, and two such scenarios are considered in this dissertation: bursty server authentication and embedded device authentication. In this dissertation, new techniques for online/offline signing are introduced, those are applied in a variety of ways for creating online/offline signature schemes, and five different online/offline signature schemes that are proved secure under a variety of models and assumptions are proposed. Two of the pr… more
Date: December 2008
Creator: Yu, Ping
Item Type: Refine your search to only Thesis or Dissertation
open access

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

Evaluation of Call Mobility on Network Productivity in Long Term Evolution Advanced (LTE-A) Femtocells

Description: The demand for higher data rates for indoor and cell-edge users led to evolution of small cells. LTE femtocells, one of the small cell categories, are low-power low-cost mobile base stations, which are deployed within the coverage area of the traditional macro base station. The cross-tier and co-tier interferences occur only when the macrocell and femtocell share the same frequency channels. Open access (OSG), closed access (CSG), and hybrid access are the three existing access-control methods … more
Date: December 2017
Creator: Sawant, Uttara
Item Type: Refine your search to only Thesis or Dissertation
open access

Evaluation Techniques and Graph-Based Algorithms for Automatic Summarization and Keyphrase Extraction

Description: Automatic text summarization and keyphrase extraction are two interesting areas of research which extend along natural language processing and information retrieval. They have recently become very popular because of their wide applicability. Devising generic techniques for these tasks is challenging due to several issues. Yet we have a good number of intelligent systems performing the tasks. As different systems are designed with different perspectives, evaluating their performances with a gene… more
Date: August 2016
Creator: Hamid, Fahmida
Item Type: Refine your search to only Thesis or Dissertation
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
Item Type: Refine your search to only Thesis or Dissertation
open access

Exploration of Visual, Acoustic, and Physiological Modalities to Complement Linguistic Representations for Sentiment Analysis

Description: This research is concerned with the identification of sentiment in multimodal content. This is of particular interest given the increasing presence of subjective multimodal content on the web and other sources, which contains a rich and vast source of people's opinions, feelings, and experiences. Despite the need for tools that can identify opinions in the presence of diverse modalities, most of current methods for sentiment analysis are designed for textual data only, and few attempts have bee… more
Date: December 2014
Creator: Pérez-Rosas, Verónica
Item Type: Refine your search to only Thesis or Dissertation
open access

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
Item Type: Refine your search to only Thesis or Dissertation
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