Computer Sciences Commons^™

Përformanca Dhe Efikasiteti I Arkitekturës Shumë Shtresore Në Iot Edge, Donjetë Hyseni

Theses and Dissertations

Internet of Things (IOT) është bërë një teknologji kyqe e cila lidh së bashku pajisje të ndryshme me funskione të ndryshme. Është një teknologji e cila mundëson shërbime dixhitale të disponueshme kudo për përdoruesit e fundit bashkohorë.

Prandaj me ardhjen e Internet of things (IOT) dhe konvergjencen e të dhënave duke përdorur shërbime cloud,computing e të dhënave është shtyrë në horizonte të reja.Një model I ri I computing,edge computing proceson të dhënat në edge të rrjetit shumica e të dhënave të gjeneruara në edge të rrjetit drejton kërkesen për një kohë të lartë të përgjigjies.Në këtë punim u diskuta për …

Dokumentimi I Arkitekturës Softuerike, Genita Abazi

Theses and Dissertations

Dokumentimi ka luajtur një rol kyç në të ndihmuarit e kuptimit të softuerit për një kohë të gjatë. Dokumentimi softuerik mund të shprehet në forma të ndryshme, varësisht nga audienca dhe natyra e softuerit. Mirëpo jo gjithmonë dokumentimi e ilustron operimin e softuerit përkatës në mënyrë të saktë, si rezultat i së cilës softueri ka potencial të dështimit brenda një kohe shumë të shkurtër.

Ky punim diplome adreson çështjet lidhur me rëndësinë e posedimit të dokumentimit të softuerit, jep një prezantim të shkurtër të standardeve të dokumentimit, të cilat ofrojnë një hyrje dhe udhëzime të përgjithshme për dokumentim të mirëfilltë …

Recommender Systems Using Cloud Technology, Gent Jashari

Theses and Dissertations

Ueb aplikacionet që ofrojnë sistemet e rekomanduara tani më janë bërë trend që çdo uebfaqe t’i ketë në mënyrë që ta tërheqin përdoruesin dhe “mos ta lejojnë atë që të kalojë pa e klikuar sugjerimin e rekomanduar”. Kjo është arritur duke përdorur teknika të ndryshme si: Collaborative filtering, Content-Based filtering dhe Hybrid filtering, ku kjo e fundit ndihmon për tejkalimin e sfidave që na shfaqen në sistemet e rekomanduara.

Përdorimin e cloud shërbimeve na ofrojnë shumë kompani mirëpo ndër ato më të njohurat janë: Microsoft Azure, Amazon Web Services dhe Google Cloud. Studimet e shumta tregojnë që për të krijuar …

Find-Doctor Application, Kastriot Beha

Theses and Dissertations

Nëpërmjet kësaj ideje unë synojë të krijojë një web aplikacion i cili u mundëson përdoruesëve të kërkojnë mjekë të departamenteve të ndryshme sipas nevojave të secilit përdorues. Renditja e mjekëve pas kërkimit nga ana e përdoruesve apo pacientëve bëhet përmes rating(vlerësimit) nga doktori më i mire pra doktori me rating me te lartë deri tek doktori me rating më të ulët. Përveq renditjes së mjekëve ne ofrojm edhte statistika apo charts për të treguar top 5 mjekët më të mire, në mënyrë qe përdoruesve të ju lehtësojm gjetjen e doktorit të caktuar dhe të duhurit për nevojat e tyre. Poashtu …

Gjuha Deklarative Dhe Koha E Ekzekutimit (Declarative Language And Runtime Systems), Valmir Mujku

Theses and Dissertations

Ambienti që na rrethon përbëhet nga shumë pajisje me diversitet komponimesh por nuk mund të themi se një shumicë prej tyre nuk i përkasin botës së teknologjisë. Evolucioni i çdo produkti teknologjik është përcjell me një seri te problemeve dhe çështjeve që janë paraqitur gjatë fazave të ndryshme të planifikimit, zhvillimit dhe menaxhimit. Gjatë fazave zhvillimore, saktësisht ndërtimit te sistemeve softuerike apo programeve aplikative është paraqitur nevoja e depozitimit të të dhënave pavarësisht a kanë qenë si source code (kod burimor) apo të dhëna që janë akumuluar gjatë përdorimit të sistemit. Depozitimi i të dhënave bëhet në bazat e të …

Konsiderata Për Menaxhimin E Internetit Të Gjërave (Iot), Siguria Në Internet Dhe Rreziqet E Privatësisë, Zeqir Nika

Theses and Dissertations

Interneti i Gjërave (IoT) është një koleksion i shpejtë evoluues dhe zgjerues i teknologjive të ndryshme që ndërveprojnë me botën fizike. Shumë organizata nuk janë domosdoshmërisht të vetëdijshëm për numrin e madh të pajisjeve IoT që ata janë duke përdorur tashmë dhe se si pajisjet IoT mund të ndikojnë në sigurinë në internet dhe rreziqet e intimitetit ndryshe nga sa bëjnë pajisjet e teknologjisë konvencionale (IT).

Qëllimi i këtij publikimi është të ndihmojë organizatat të kuptojnë dhe menaxhojnë më mirë rreziqet e sigurisë në internet dhe rreziqet e intimitetit të lidhura me pajisjet individuale të Internetit të Gjërave (IoT) gjatë …

Menaxhimi I Detyrave Dhe Orarit, Azdren Bytyqi

Theses and Dissertations

Duke analizuar vështirësitë e procesit të punës në përgjithësi, rendësinë e mbarëvajtjes së saj dhe kompleksitetin e saj, kjo temë synon që të ofrojë një zgjidhje që sado pak ta lehtësojë menaxhimin e këtij procesi. Në çfarë kohe punëtori shfaqet në punë, e kur del nga puna, detyrat e caktuara për të dhe sa i realizon ato punëtori, pajisja e tij me kontratë, këtyre, e problemeve të ngjashme me to, progarmi i krijuar, synon t’u japë zgjidhje. Rëndësia e kësaj teme dhe asaj që kjo temë shtjellon qëndron në atë se shpesh herë kemi parë keq shfrytëzime si nga ana …

Can We Classify Cashless Payment Solution Implementations At The Country Level?, Dennis Ng, Robert J. Kauffman, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

This research commentary proposes a 3-D implementation classification framework to assist service providers and business leaders in understanding the kinds of contexts in which more or less successful cashless payment solutions are observed at point-of-sale (PoS) settings. Three constructs characterize the framework: the digitalization of the local implementation environment; the relative novelty of a given payment technology solution in a country at a specific point in time; and the development status of the country’s national infrastructure. The framework is motivated by a need to support cross-country research in this domain. We analyze eight country mini-cases based on an eight-facet (2 …

Physics Engine On The Gpu With Opengl Compute Shaders, Quan Huy Minh Bui

Master's Theses

Any kind of graphics simulation can be thought of like a fancy flipbook. This notion is, of course, nothing new. For instance, in a game, the central computing unit (CPU) needs to process frame by frame, figuring out what is happening, and then finally issues draw calls to the graphics processing unit (GPU) to render the frame and display it onto the monitor. Traditionally, the CPU has to process a lot of things: from the creation of the window environment for the processed frames to be displayed, handling game logic, processing artificial intelligence (AI) for non-player characters (NPC), to the …

Gpu High-Performance Framework For Pic-Like Simulation Methods Using The Vulkan® Explicit Api, Kolton Jacob Yager

Master's Theses

Within computational continuum mechanics there exists a large category of simulation methods which operate by tracking Lagrangian particles over an Eulerian background grid. These Lagrangian/Eulerian hybrid methods, descendants of the Particle-In-Cell method (PIC), have proven highly effective at simulating a broad range of materials and mechanics including fluids, solids, granular materials, and plasma. These methods remain an area of active research after several decades, and their applications can be found across scientific, engineering, and entertainment disciplines.

This thesis presents a GPU driven PIC-like simulation framework created using the Vulkan® API. Vulkan is a cross-platform and open-standard explicit API for graphics …

Remote Monitoring Of Memory Data Structures For Malware Detection In A Talos Ii Architecture, Robert A. Willburn

Theses and Dissertations

New forms of malware, namely xC;leless malware and rootkits, pose a threat to traditional anti-malware. In particular, Rootkits have the capacity to obscure the present state of memory from the user space of a target machine. If thishappens, anti-malware running in the user space of an axB;ected machine cannot be trusted to operate properly. To combat this threat, this research proposes the remote monitoring of memory from a second, secure processor runningOpenBMC, serving as a baseboard management controller for a POWER9 processor, which is assumed vulnerable to exploitation. The baseboard management controller includes an application called pdbg, used for debugging …

Cyclic Pursuit, Daniel E. Oke

Theses and Dissertations

This thesis analyzes cyclic pursuit with the intent of developing swarm attack strategies for autonomous agents. Research was focused on finding the effects of pursuers capture range, evader speed and size of formation on the probability of escape. The temporal evolution of several polygonal formations was analyzed. The polygons could be regular or arbitrary polygons. The thesis demonstrated that an increased capture range, formation size, reduced evader speed aided capture probability. Irregular n-gon formations reduced to n-1 gon repeatedly, pursuer clusters formed until two clusters remained which eventually came together, so all the n pursuers coalesced until convergence. Regular n-gon …

Error Detection In Quantum Algorithms, Simeon R. Hanks

Theses and Dissertations

Quantum computers need to be able to control highly entangled quantum states in the presence of environmental perturbations that lead to errors in calculations. Progress in superconducting qubits has enabled the development of computers capable of running small quantum circuits. The current era of Noise Intermediate Scale Quantum computing has a high error rate. To alleviate this error rate we apply an encoding scheme that allows us to remove results with known errors improving the quality of our results. The encoding uses multiple qubits as a single logical qubit and balances the natural tendency of state-of-the-art quantum computers to decohere …

Display Design To Avoid And Mitigate Limit Cycle Oscillations (Lco) On The F-16c, David J. Feibus

Theses and Dissertations

The U.S. Air Force F-16 Fighting Falcons flying characteristics and flight envelope are dynamic and defined by its external weapon stores configuration. The employment of its munitions at certain speeds can put the F-16 into a flutter-like state in which Limit Cycle Oscillations (LCO) are induced. In LCO, a pilots fine motor control might be hindered, and the aircraft may lose combat effectiveness until flight conditions are reduced. The current research attempted to provide pilots with a predictive feedback display to avoid an LCO-susceptible configuration by increasing their situation awareness about the consequences of employing certain munitions to their flight …

Correction Of Back Trajectories Utilizing Machine Learning, Britta F. Gjermo Morrison

Theses and Dissertations

The goal of this work was to analyze 24-hour back trajectory performance from a global, low-resolution weather model compared to a high-resolution limited area weather model in particular meteorological regimes, or flow patterns using K-means clustering, an unsupervised machine learning technique. The duration of this study was from 2015-2019 for the contiguous United States (CONUS). Three different machine learning algorithms were tested to study the utility of these methods improving the performance of the CFS relative to the performance of the RAP. The aforementioned machine learning techniques are linear regression, Bayesian ridge regression, and random forest regression. These results mean …

Long Distance Bluetooth Low Energy Exploitation On A Wireless Attack Platform, Stephanie L. Long

Theses and Dissertations

In the past decade, embedded technology, known as the Internet of Things, has expanded for many uses. The smart home infrastructure has drastically grown to include networked refrigerators, lighting systems, speakers, watches, and more. This increase in the use of wireless protocols provides a larger attack surface for cyber actors than ever before. Wireless loT traffic is susceptible for sniffing by an attacker. The attack platform skypie is upgraded to incorporate Bluetooth Low Energy (BLE) beacon collection for pattern-of-life data, as well as device characteristic enumeration and potential characteristic modification. This platform allows an attacker to mount the skypie to …

A Fixed-Point Method For Computing Steady-State 2d Laser-Fluid Interactions, Jeremiah S. Lane

Theses and Dissertations

This research introduces a fixed-point numerical approach for solving the steady-state Navier-Stokes (NS) equations on a finite two-dimensional (2D) domain. The steady-state interaction between a high energy laser beam and its surrounding fluid medium is important to researchers in the field of high energy laser beam propagation. The solutions to the steady-state Navier-Stokes equations provide a model for uncovering the steady-state behavior of the fluid medium, which is useful for the modeling of thermal blooming in laser beam propagation. Numerical solutions remain the only tenable option for solving the NS equations, wherein numerical speed and fidelity beget the utility of …

Formal Verification For High Assurance Software: A Case Study Using The Spark Auto-Active Verification Toolset, Ryan M. Baity

Theses and Dissertations

Software is an increasingly integral and sophisticated part of safety- and mission-critical systems. Poorly written software can lead to information leakage, undetected cyber breaches, and even human injury in cases where the software directly interfaces with components of a physical system. These systems may range from power facilities to remotely piloted aircraft. Software bugs and vulnerabilities can lead to severe economic hardships and loss of life in these domains. As fast as software spreads to automate many facets of our lives, it also grows in complexity. The complexity of software systems combined with the nature of the critical domains dependent …

Indoor Navigation Using Convolutional Neural Networks And Floor Plans, Ricky D. Anderson

Theses and Dissertations

The goal of this thesis is to evaluate a new indoor navigation technique by incorporating floor plans along with monocular camera images into a CNN as a potential means for identifying camera position. Building floor plans are widely available and provide potential information for localizing within the building. This work sets out to determine if a CNN can learn the architectural features of a floor plan and use that information to determine a location. In this work, a simulated indoor data set is created and used to train two CNNs. A classification CNN, which breaks up the floor plan into …

Solving The Quantum Layout Problem For Nisq-Era Quantum Computers Via Metaheuristic Algorithms, Brian D. Curran Jr.

Theses and Dissertations

In the noisy intermediate-scale quantum (NISQ)-era, quantum computers (QC) are highly prone to noise-related errors and suffer from limited connectivity between their physical qubits. Circuit transformations must be made to abstract circuits to address the noise and hardware constraints of NISQ-era devices. Such transformations introduce additional gates to the original circuit, thereby reducing the circuit's overall fidelity. To address the aforementioned constraints of NISQ-era QCs, dynamic remapping procedures permute logical qubits about physical qubits of the device to increase the fidelity of operations and make operations hardware-compliant. The quantum layout problem (QLP) is the problem of mapping logical qubits of …

Delayed Authentication System For Civilian Satellite, Sean M. Feschak

Theses and Dissertations

This thesis presents the feasibility of a Delayed Authentication System (DAS) for civilian satellite navigation (satnav) receivers. In satnav systems, encrypted signal components are transmitted synchronously with civilian components. Hence, the civilian signals can be authenticated by detecting the presence of encrypted signal components within the received signal. To authenticate, a reference station transmits estimated encrypted signal spreading code symbols processed using a high gain antenna. In this thesis, it is shown that a 1-meter diameter dish antenna is adequate to provide a high probability of successful authentication, thereby reducing overall system complexity and cost.

Laser Illuminated Imaging: Beam And Scene Deconvolution Algorithm, Benjamin W. Davis

Theses and Dissertations

Laser illuminated imaging systems deal with several physical challenges that must be overcome to achieve high-resolution images of the target. Noise sources like background noise, photon counting noise, and laser speckle noise will all greatly affect the imaging systems ability to produce a high-resolution image. An even bigger challenge to laser illuminated imaging systems is atmospheric turbulence and the effect that it will have on the imaging system. The illuminating beam will experience tilt, causing the beam to wander off the center of the target during propagation. The light returning to the detector will similarly be affected by turbulence, and …

Automated Network Exploitation Utilizing Bayesian Decision Networks, Graeme M. Roberts

Theses and Dissertations

Computer Network Exploitation (CNE) is the process of using tactics and techniques to penetrate computer systems and networks in order to achieve desired effects. It is currently a manual process requiring significant experience and time that are in limited supply. This thesis presents the Automated Network Discovery and Exploitation System (ANDES) which demonstrates that it is feasible to automate the CNE process. The uniqueness of ANDES is the use of Bayesian decision networks to represent the CNE domain and subject matter expert knowledge. ANDES conducts multiple execution cycles, which build upon previous action results. Cycles begin by modeling the current …

Comparison Of Conic Ray Tracing For Occlusion Determination On 3d Point Cloud Data, Henry Cho

Theses and Dissertations

The US Air Force has been increasing the use of automation in its weapon systems to include the remotely piloted aircraft (RPA) platforms. The RPA career field has had issues with poor pilot retention due to job stressors. For example, RPA operators spend a lot of time and attention surveilling a suspect on the ground for many hours, so adding automation to this activity could help improve pilot retention. The research problem in this thesis attempted to automate the process of observing a ground target. This thesis presents a method termed conic ray tracing for determining visibility and occlusion of …

Designing And Building A Radar Simulation Using The Entity Component System, Brennen T. Garland

Theses and Dissertations

This research explores the implementation of a "medium fidelity" radar simulation using the Entity-Component-System (ECS) architecture. The radar implemented mimics the fundamental characteristics of entities in the open-source Mixed Reality Simulation Platform (MIXR) project, supporting real-time interaction. Previous research has shown the potential benefits of using an ECS-based architecture to support improved execution performance relative to Object-Oriented Programming (OOP) approaches, thus improved real-time interaction requirements. This research implements a well-documented radar model that supports the development of soft real-time human-based interaction simulations. The radar system modeled in this research mimics the "out-of-the-box" fidelity defined in the OOP-based MIXR architecture. This …

Optimizing A Bank Of Kalman Filters For Navigation Integrity, Luis E. Sepulveda

Theses and Dissertations

Alternative navigation is an area of research which employs a variety of sensor technologies to provide a navigation solution in Global Navigation Satellite System degraded or denied environments. The Autonomy and Navigation Technology Center at the Air Force Institute of Technology has recently developed the Autonomous and Resilient Management of All-source Sensors (ARMAS) navigation framework which utilizes an array of Kalman Filters to provide a navigation solution resilient to sensor failures. The Kalman Filter array size increases exponentially as system sensors and detectable faults are scaled up, which in turn increases the computational power required to run ARMAS in areal-world …

Exploring Fog Of War Concepts In Wargame Scenarios, Dillon N. Tryhorn

Theses and Dissertations

This thesis explores fog of war concepts through three submitted journal articles. The Department of Defense and U.S. Air Force are attempting to analyze war scenarios to aid the decision-making process; fog modeling improves realism in these wargame scenarios. The first article "Navigating an Enemy Contested Area with a Parallel Search Algorithm" [1] investigates a parallel algorithm's speedup, compared to the sequential implementation, with varying map configurations in a tile-based wargame. The parallel speedup tends to exceed 50 but in certain situations. The sequential algorithm outperforms it depending on the configuration of enemy location and amount on the map. The …

Improving Text Classification With Semantic Information, Joshua H. White

Theses and Dissertations

The Air Force contracts a variety of positions, from Information Technology to maintenance services. There is currently no automated way to verify that quotes for services are reasonably priced. Small training data sets and word sense ambiguity are challenges that such a tool would encounter, and additional semantic information could help. This thesis hypothesizes that leveraging a semantic network could improve text-based classification. This thesis uses information from ConceptNet to augment a Naive Bayes Classifier. The leveraged semantic information would add relevant words from the category domain to the model that did not appear in the training data. The experiment …

A Mobile Application For Optimally Matching Real Estate Clients, Yu Karen Asai, Steven Andrew Luu

Computer Science and Software Engineering

Real estate agents are often tasked with finding their clients’ ideal properties. This can be difficult because multiple clients may have varying preferences, such as number of bedrooms, square footage, or price. Furthermore, different clients may weight their individual preferences differently. Existing applications do not consider multiple clients’ satisfaction, nor do they allow clients to weigh their preferences, potentially leading to less-than-ideal matchings between clients and properties.

In this project, we design and implement an iOS application whereby real estate agents can match multiple clients with individually weighted preferences to properties scraped from web listings. We model this client-property matching …

Node Classification On Relational Graphs Using Deep-Rgcns, Nagasai Chandra

Master's Theses

Knowledge Graphs are fascinating concepts in machine learning as they can hold usefully structured information in the form of entities and their relations. Despite the valuable applications of such graphs, most knowledge bases remain incomplete. This missing information harms downstream applications such as information retrieval and opens a window for research in statistical relational learning tasks such as node classification and link prediction. This work proposes a deep learning framework based on existing relational convolutional (R-GCN) layers to learn on highly multi-relational data characteristic of realistic knowledge graphs for node property classification tasks. We propose a deep and improved variant, …