Computer Sciences Commons^™

A Machine Learning Approach To Forecasting Sep Events With Solar Activities, Jesse Scott Torres

Theses and Dissertations

Solar energetic particles (SEPs) are fast-moving events which can cause severe damage to astronauts and their equipment, and can disrupt communications on Earth. There are no clear patterns in solar activities which indicate whether an SEP is about to occur, making physics-based methods inaccurate for SEP forecasting. Therefore, in order to provide an advance warning so that astronauts are able to get to safety, we apply neural networks to the problems of forecasting SEP occurrence and intensity. Our algorithm for predicting SEP occurrence uses a combination of observed CME properties and derived features and achieves a TSS of 0.846 and …

Proactive Management In Academic Libraries: Promoting Improved Communication And Inclusion Of Academic Librarians And Archivists In Cybersecurity Policy Creation, Paul J. Luft

Theses and Dissertations

Although increasing cybersecurity threats continue in libraries, not many studies are available which examine surrounding cybersecurity policies. Even less has been done on specific types of libraries such as academic and archives. When it comes to academic libraries, cybersecurity policies take a top-down approach to managing and creating policies. The problem is that both academic libraries and archives are unique areas within a university setting. Some of the general policies do not always handle specific issues dealt with in an academic library or archives. This paper investigates if an actual gap or void in policy exists which could create issues …

Neural Network Development In An Artificial Intelligence Gomoku Program, David Garcia

Theses and Dissertations

The game of Gomoku, also called Five in a Row, is an abstract strategy board game. The Gomoku program is constructed upon an algebraic monomial theory to aid values for each possible move and estimate chances for the artificial intelligence program to accomplish a winning path for each move and rounds. With the utilization of the monomial theory, winning configurations are successfully converted into monomials of variables which are represented on board positions. In the artificial intelligence program, an arduous task is how to perform the present configuration of the Gomoku game along with the past moves of the two …

Reinforcement Learning Environment For Orbital Station-Keeping, Armando Herrera Iii

Theses and Dissertations

In this thesis, a Reinforcement Learning Environment for orbital station-keeping is created and tested against one of the most used Reinforcement Learning algorithm called Proximal Policy Optimization (PPO). This thesis also explores the foundations of Reinforcement Learning, from the taxonomy to a description of PPO, and shows a thorough explanation of the physics required to make the RL environment. Optuna optimizes PPO's hyper-parameters for the created environment via distributed computing. This thesis then shows and analysis the results from training a PPO agent six times.

Artificial Intelligence In A Main Warehouse In Panasonic: Los Indios, Texas, Edison Antonio Trejo Hernandez

Theses and Dissertations

The Panasonic Company warehouse is located in Los Indios Texas. The warehouse presents the limitation of the great distances between its headquarters and the Main Warehouse for supplying the branches and main customers, which requires a considerable amount of time to maintain effective communication in the inventory area. In addition, during an online review, it can be confirmed that the website is disabled, contradicting its corporate policy.

The structure of the thesis proposal is arranged in four chapters from the Introduction, Statement of the Problem and Purposes; Previous Studies and Definition of the literature; the Research Methodology and the resources …

Real-Time Full Face Closed Eyes Detection, Lucas De Morais Tramasso

Theses and Dissertations

Intelligent systems based on machine-learning techniques are becoming a common way of solving problems in many different areas. In this thesis, our goal is to apply machine learning to a computer vision problem. We propose a new solution to detect closed eyes in full-face images. Accurate detection of closed eyes can be used in many problems such as driver drowsiness detection, human-computer interaction, and computer user monitoring. Most algorithms used to detect blinks or closed eyes follow a similar workflow. They require detection of a region of interest that is then used with different algorithms and techniques to determine if …

In-Depth Analysis Of College Students’ Data Privacy Awareness, Vernon D. Andrews

Theses and Dissertations

While attending university, college students need to be aware of issues related to data privacy. Regardless of the age, gender, race, or education level of college students, every student can relate to the advancement of the internet within the last decades. The internet has completely transformed the way the world receives and stores messages. Positively, the internet allows messages to be sent across the globe within the fraction of a second and provides students with access to potentially unlimited information on a variety of subjects. On the downside, there are issues on the internet that can cause more harm than …

Refinements Of The Concept Of Privacy In Distributed Computing, Entisar Seedi Alshammry

Theses and Dissertations

In light of the tremendous development of technology in the modern world in which we live, privacy concerns are increasing, especially after the massive spread of distributed computing systems and the technologies that depend on it, whether in personal devices or public services. Hence, this research proposes refinements on the concept of privacy for enhancing the development of privacy-related strategies in distributed computing systems to address the elements of privacy. In particular, the study introduces the new concept of Privacy Appetite to describe and model the nature of the relationship between the intended disclosure of private information and gained value …

Real-Time Action Classification Using Intermediate Skeletal Pose Estimation, Kleanthis Zisis Tegos

Theses and Dissertations

The topic of Human Action Classification has attracted significant interest these past years, which can be attributed to the advancements in deep learning methodologies. Its applications range from robotics to surveillance and automated video categorization, as well as in the healthcare industry. The literature, however, has primarily focused on offline action classification, without significant attention being given to the constraints of an online real-time classifier. Using an intermediate skeletal representation of humans, while convoluted, provides a scalable means of tackling the action classification problem. This project discusses the existing literature, and adapts two of the state-of-the-art approaches for real-time analysis. …

Deep Learning-Based, Passive Fault Tolerant Control Facilitated By A Taxonomy Of Cyber-Attack Effects, Dean C. Wardell

Theses and Dissertations

In the interest of improving the resilience of cyber-physical control systems to better operate in the presence of various cyber-attacks and/or faults, this dissertation presents a novel controller design based on deep-learning networks. This research lays out a controller design that does not rely on fault or cyber-attack detection. Being passive, the controller’s routine operating process is to take in data from the various components of the physical system, holistically assess the state of the physical system using deep-learning networks and decide the subsequent round of commands from the controller. This use of deep-learning methods in passive fault tolerant control …

Biometric Face Skintone Data Augmentation Using A Generative Adversarial Network, Rosalin Dash

Theses and Dissertations

Researchers seek methods to increase the accuracy and efficiency in identifying an individual using facial biometric systems. Factors like skin color, which may affect the accuracy of facial recognition, need to be investigated further. To analyze the impact of race with respect to skin color of face on biometric systems, we focused on generating a dataset with uniformly distributed images of different skin tones while preserving identities. Deep learning neural network architectures like the generative adversarial network (GAN) focus on modifying only certain features of the face like the color of the skin. In our experimental approach, we implemented a …

A Targeted Adversarial Attack On Support Vector Machine Using The Boundary Line, Yessenia Rodriguez

Theses and Dissertations

In this thesis, a targeted adversarial attack is explored on a Support Vector Machine (SVM). SVM is defined by creating a separating boundary between two classes. Using a target class, any input can be modified to cross the “boundary line,” making the model predict the target class. To limit the modification, a percentage of an image of the target class is used to get several random sections. Using these sections, the input will be moved in small steps closer to the boundary point. The section that took the least number of steps to cause the model to predict the target …

A Fast And Exact Motif Enumeration Algorithm For Dynamic Networks, Abbas Al-Thaedan

Theses and Dissertations

From social to biological networks, prior research in complex networks have demonstrated the importance of the frequency and distribution of different types of motifs to important network functions and properties. A network motif (or graphlet) is defined as a small connected sub-pattern which is over-represented in a network. Network motifs have been widely applied in a wide range of applications, namely biological, social, and technical networks. The counting of the network motif involves expensive enumeration of graph sub-patterns along with the detection of graph isomorphism. In general, network motif detection algorithms are computationally expensive and often designed to operate over …

Moving Target Network Steganography, Tapan Soni

Theses and Dissertations

A branch of information hiding that has gained traction in recent years is network steganography. Network steganography uses network protocols are carriers to hide and transmit data. Storage channel network steganography manipulates values in protocol header and data fields and stores covert data inside them. The timing channel modulates the timing of events in the protocol to transfer covert information. Many current storage channel network steganography methods have low bandwidths and they hide covert data directly into the protocol which allows discoverers of the channel to read the confidential information. A new type of storage channel network steganography method is …

Barriers And Drivers Influencing The Growth Of E-Commerce In Uzbekistan, Madinakhon Tursunboeva

Theses and Dissertations

Electronic commerce (e-commerce) has become a major retail channel for businesses in developed countries. However, it is still considered an innovation in developing countries. Specifically, e-commerce in Uzbekistan is in the early stages of emergence despite its advance in recent years in terms of Internet penetration, a strong retail sector, new national regulations, and a young population. The study aimed to identify barriers and drivers influencing e-commerce growth in Uzbekistan. A Delphi research design was utilized to answer the research questions of the study, which categorized and ranked factors that Uzbekistani entrepreneurs are facing when engaging in e-commerce processes. A …

A Framework To Determine The Impact Of Poor Data Quality On The Reliability Of Iot Sensor-Based Real-Time Decision-Making, Arnold Rego

Theses and Dissertations

Today, more and more systems make real-time decisions based on the data received from sensors. But it is inevitable that sensors will fail, or send bad data – leading to faulty real-time decision-making. Using this poor-quality data in real-time decision-making can lead to deadly consequences. Traditional Data Quality (DQ) foundations call for “fixing” the poor DQ before the data can be used. However, time is often of the essence in a real-time decision-making environment, leaving little or no time to “fix” poor-quality data before it can be used in the decision-making process. The primary objective in real-time decision-making is not …

Privacy And The Digital Divide: Investigating Strategies For Digital Safety By People Of Color, Denavious Hoover

Theses and Dissertations

People of color are becoming increasingly concerned with digital privacy. They are concerned about the obfuscated data collection and sharing practices of major social media plat- forms and the strong entitlement of other users in the online space to their content. This study examines how people of color conceptualize and behave to produce safety in the online space, or, in other words, digital privacy. This study challenges notions that people are not purposeful about privacy in the online space and highlights the voices of people of color, whom are not of- ten included in theorizing or decision making about the …

Providing Predictable Performance During Network Contingencies, Phani Krishna Penumarthi

Theses and Dissertations

In IP backbone networks, packets may get dropped due to: i) lack of viable next hops when a link/router fails, ii) forwarding loops during network convergence, and iii) buffer overflows in case of congestion. Similarly, packets may be lost in wireless networks due to variations in signal strength between a pair of mobile nodes. This dissertation explores the possibility of providing a predictable performance during such network contingencies in wired backbone networks and robotic wireless networks.

First, we study the feasibility of developing a combination of local reroute and global update mechanisms that can achieve loop-free convergence, while performing disruption-free …

The Utility Of Multiple Structure Torsion Angle Alignment In Protein Active Site Description (Asd), Devaun L. Mcfarland

Theses and Dissertations

Proteins are responsible for various functions throughout organisms, or within the systems, they operate. Active-sites or functional/ binding sites are regions responsible for activity in a protein; they serve as a catalyst for reactions, attach or bind to other molecules (ligands), and maintain function. With the profusion of protein sequence and structure data, it's increasingly relevant to develop automated methods of identifying and investigating active-sites for proteins. Active-sites identification will have a direct impact: in better understanding molecular basis for diseases, assisting in drug design, the study of targeting mutants, and for functional annotation of unknown proteins. The proper knowledge …

Analytic Provenance For Software Reverse Engineers, Wayne C. Henry

Theses and Dissertations

Reverse engineering is a time-consuming process essential to software-security tasks such as malware analysis and vulnerability discovery. During the process, an engineer will follow multiple leads to determine how the software functions. The combination of time and possible explanations makes it difficult for the engineers to maintain a context of their findings within the overall task. Analytic provenance tools have demonstrated value in similarly complex fields that require open-ended exploration and hypothesis vetting. However, they have not been explored in the reverse engineering domain. This dissertation presents SensorRE, the first analytic provenance tool designed to support software reverse engineers. A …

Ansible: Select-To-Edit For Physical Widgets, Benjamin M. Crowder

Theses and Dissertations

Ansible brings select-to-edit functionality to physical widgets. When programming sets of physical widgets, it can be bothersome for a programmer to remember the name of the software object that corresponds to a specific widget. Click-to-edit functionality in GUI programming provides a physical action--moving the mouse to a widget and clicking a button on the mouse--to select a virtual widget. In a similar vein, when programming physical widgets, it is natural to point at a widget and think, "I want to program that one." Ansible allows physical user interface programmers to "click" on a physical widget by making a physical action: …

Analizmi Dhe Vizualizimi I Të Dhënave Për Lindjet Dhe Vdekjet Në Kosovë, Erijona Gashi

Theses and Dissertations

Në ditët e sotme është bërë pjesë e pashmangshme e çdo institucioni dhe biznesi trajtimi i të dhënave e sidomos i atyre të ndjeshme ku kërkohet kujdes më i shtuar. Përveç të dhënave që janë të nevojshme për të rritur dhe planifikuar resurset e kompanive, sot flasim edhe për një koncept tjetër, atë të të dhënave personale që ruajnë integritetin personal dhe financiar të personave të punësuar apo që shërbehen nga bizneset. Sot sa herë që shikohet suksesi i një kompanie, përveç produkteve cilësore që i ofron kompania shikohet edhe trajtimi që i bëhet të dhënave personale, pse ruhen ato, …

Shërbimet Dhe Kontrollet E Sigurisë Ne Sigurin E Sistemeve Të Informacionit, Besijana Fejzullahu

Theses and Dissertations

Kompani apo biznese të ndryshme për një periudhe shumë të gjatë janë munduar të mbledhin njohuri dhe të dhëna rreth shërbimëve ne sigurin e informacioneve,mirpo shumë pak nga këto biznise jan në njohuri rreth kësaj fushe. Prandaj,qëllimi i këtij studmi është që të jepet një kontribut shkencor rreth kërcënimëve apo dobësive të reja,kontrollat në fushën e informacionit,si dhe njohurit se si të zhvillohet me më efikasitet vlersimet dhe pamja programatike e rrezikut. Do ti vëm në pahë disa këshilla se si të reflektojmë dhe të bëhemi të suksesshëm në treg,ku nga këto benifite shumë kompani apo biznese mund të zhvillohen …

Mbledhja Dhe Analiza E Të Dhënave Dhe Aktiviteteve Nga Rrjetet Sociale Duke Përdorur Platforma Të Hapura, Afrim Rexhepi

Theses and Dissertations

Në këtë punim është paraqitur dhe diskutuar i gjithë procesi i konfigurimit, mbledhjes, ruajtjes dhe analizës së shënimeve nga rrjeti social Twitter, duke përdorur të gjitha platformat e hapura (Open Source) - pa pagesë.

Punimi përfshinë pjesën teorike dhe pjesën praktike apo realizimin teknik të procesit për mbledhjen, ruajtjen dhe analizën e të dhënave (Data Science). Në pjesën teorike është diskutuar për të gjeturat dhe analizat nga publikime dhe artikuj të ndryshëm lidhur me të dhënat nga rrjetet sociale. Gjithashtu janë elaboruar edhe metodat e ndryshme të analizës së përmbajtjes së tekstit. Në pjesën e realizimit teknik është paraqitur në …

Menaxhimi I Shkollës Private Parauniversitare Përmes Vdi, Zamire Ramadani

Theses and Dissertations

Me rritjen e numrit të kompjuterëve personal të vendosur në shkolla, ndërmarrje dhe organizata të ndryshme, rritet edhe ngarkesa dhe përgjegjësia e administratorëve të sistemit për shkak problemeve që lidhen me konsumin e energjisë, shpenzimet e IT, shpenzimet e zëvendësimit të PC, kapacitetin e ruajtjes së të dhënave dhe sigurinë e informacionit. Sidoqoftë, është vërtetuar se aplikimi i virtualizimit është një zgjidhje e suksesshme e cila ka kosto efektive për t’i zgjidhur këto probleme.

Virtualizimi është teknologjia kryesore e cila ofron zgjidhje efikase të IT në sektorët e arsimit dhe ndërmarrjeve. Ne paraqesim një kornizë origjinale strukturore për të cilën …

Interneti I Gjërave Dhe Impakti I Tij Në Privatësinë E Të Dhënave, Fakete Mustafa

Theses and Dissertations

Kjo tezë përpiqet të kuptojë mardhënjet e Internet of Things (IoT) me privatësin dhe Vetëdijsimin. Teza përdor një metodë sasiore për të kuptuar këto marrëdhënie nëpërmjet lidhjes së korrelacionit dhe regresionit linear. Paketa statistikore për Shkencat Sociale (SPSS) është përdorur për të përpunuar të dhënat e mbledhura përmes pyetësorëve. Sipas analizës, ekziston një korrelacion i fortë midis Internet of Things (IoT) dhe privatësis. Për më tepër, korrelacioni midis Internet of Things (IoT) dhe Vetëdijsimin është gjithashtu pozitiv. Analiza e regresionit linear tregon që privatësia është shume e rëndësishëme në përdorimin e paisjeve Internet of Things, ndërsa vetëdijsimi eliminohet nga ekuacioni …

Krahasimi I Javascript Librarive – React Js Me Vue Js, Ylber Verbaj

Theses and Dissertations

Implementimi i teklogjive moderne në zhvillimin e web-it po merr popullaritet global dhe po rezulton të jetë tejet i suksesshëm në këtë industri. Rezultatet e mira dalin të jenë në rrafshin professional dhe atë personal të zhvilluesve. Rritja dhe zhvillimi i këtyre teknologjive në mënyrë eksponenciale ka shtyrë shume kompani dhe shumë zhvillues se cila prej këtyre teknologjive gjen zbatim të duhur në produktet përkatëse të tyre.

Në këtë hulumtim do të shtjelloj elementet e web-it, mënyrën e funksionimit, ndarjet e web-it në anën e logjikës(backend) dhe ndërfaqës së përdoruesit(frontend). Hulumtimi kryesorë është në pjesën e frontend ku krahasohen dy …

- Aplikimi I Njohjes Së Fytyrës Duke Shfrytëzuar Shërbimet-Aws, Fatson Sylejmani

Theses and Dissertations

Sistemi i njohjes së fytyrës është njëri nga proceset kryesore biometrike të informacionit pasi ka gjetë zbatim shumë të madh në industri të ndryshme. Sistemi i tillë është mjaft kompleks por edhe shumë më efikas dhe më i besueshëm krahasuar me proceset tjera biometrike si: skanimi i irisit, nënshkrimi, gjurmët e gishtave.

Zhvillimi i një sistemi të tillë për njohjen e fytyrës i cili mund të përdoret për arsye të ndryshme ka qenë dhe është në interes për shumë zhvillues dhe kërkues në dy dekadat e fundit. Disa nga arsyet kryesore janë nevoja e njohjeve automatike dhe sistemet e mbikqyrjes, …

Artificial Intelligence In Pursuit-Evasion Games, Specifically In The Scotland Yard Game, Arif M. Alamri

Theses and Dissertations

This research provides a heuristic algorithm for the detectives, who try to collectively capture a criminal known as Mr. X, in the Scotland Yard pursuer-evasion game. In Scotland Yard, a team of detectives attempts to converge on and capture a criminal known as Mr. X. The heuristic algorithm developed in this thesis is designed to emulate human strategies when playing the game. The algorithm uses the current state of the board at each time step, including the current positions of the detectives as well as the last known position of Mr. X. The heuristic algorithm then analyses all of the …

A Methodology To Identify Alternative Suitable Nosql Data Models Via Observation Of Relational Database Interactions, Paul M. Beach

Theses and Dissertations

The effectiveness and performance of data-intensive applications are influenced by the suitability of the data models upon which they are built. The relational data model has been the de facto data model underlying most database systems since the 1970’s. However, the recent emergence of NoSQL data models have provided users with alternative ways of storing and manipulating data. Previous research has demonstrated the potential value in applying NoSQL data models in non-distributed environments. However, knowing when to apply these data models has generally required inputs from system subject matter experts to make this determination. This research, sponsored by the Air …