Computer Sciences Commons^™

Zgjerueshmëria E Infrastrukturës Përmes Metodave Të Virtualizimit Të Aplikacioneve Në Nivel Të Sistemit Operativ, Altin Ukshini

Theses and Dissertations

Zhvillimi dhe menaxhimi i aplikacioneve fleksibile dhe të zgjerueshme lehtë është një sfidë operacionale dhe e dizajnimit të infrastrukturës kur kemi të bëjmë me aplikacione dhe platforma të mëdha. Virtualizimi i aplikacioneve në nivel të Sistemit Operativ (konteinerizimi) ka bërë bujë në përdorim tek infrastrukturat dhe serverët në cloud, si dhe në mënyrën se si sot zhvillohen softuerët që të jenë të zgjerueshëm në aspekt të infrastrukturës dhe fleksibilitetit të zhvillimit. Në këtë punim shtjellohet veçmas për teknologjitë e ndryshme të konteinerizimit të aplikacioneve dhe për rëndësinë që ka sot kjo teknologji në zhvillimin e softuerit dhe dizajnimin e arkitekturave …

Krahasimi Në Mes Spring Boot Framework Dhe Jee Framework, Astrit Berisha

Theses and Dissertations

Në këtë punim ne do të bëjmë dallimin dhe ngjajshmerin në mes dy framework se cila prej këtyre dy framework mundëson zhvillimin e shpejtë të aplikacioneve, zvogëlon nevojën për programim si dhe sa janë të sigurta. Meqë përdorimi i këtyre dy framework është për zhvillimin e aplikacioneve, atëherë edhe përdorimi i tyre është po aq i rëndësishëm, të cilat na tregojn se çfarë lloj programesh mund ose duhet të ndërtohet dhe si do të ndërlidhen. Gjetjet janë të bazuara në një rishikim të historisë së të dy framework, dhe veçanërisht në atë se si kane ardhur deri te zhvillimi për …

Aplikimi I Internet Of Things Në Smart City, Genita Tahiri

Theses and Dissertations

Që kur u prezantua koncepti i një Smart City, Internet of Things është konsideruar infrastruktura kryesore në një smart city. Studimi aktual përshkruan rëndësinë e teknologjive IoT në teknologji udhërrëfyesi (TRM) të një smart city. Për më tepër, rreth 200 ekspertë hulumtojnë rëndësinë dhe thelbin e komponentëve të detajuar të teknologjive IoT për një smart city. Aplikacionet e reja të IoT janë duke bërë të mundur iniciativat e Smart City në të gjithë botën. Ai siguron aftësinë për të monitoruar, menaxhuar dhe kontrolluar pajisjet në distancë, dhe për të krijuar njohuri të reja dhe informacion të zbatueshëm nga rrjedhat masive …

Analizimi Dhe Implementimi I Kornizave Të Testimit Të Automatizuar Selenium Dhe Sahi, Kaltrina Baftiu

Theses and Dissertations

Testimi është bërë pjesë integrale e ciklit të zhvillimit të softuerit (SDLC). Përmes mjeteve të automatizuara të testimit me burim të hapur, kostoja e tërë procesit të testimit, si dhe koha që duhet për të kryer procesin e testimit, është zvogëluar ndjeshëm. Qëllimi kryesor i këtij materiali hulumtues është të analizojë mjetet e testimit të internetit Selenium dhe Sahi për të krahasuar karakteristikat e tyre dhe performancën në mënyrë që një përdorues i veçantë të mund të zgjedhë një mjet që është i përshtatshëm në aspektin e përdorshmërisë dhe karakteristikat e kërkuara për një detyrë specifike. Zgjedhja e një kornize …

Siguria E Të Dhënave Në Implementimet E Iot Në Sistemet Ehealth, Iliriana Shala

Theses and Dissertations

Në jetën tonë të sotme ne gjithmonë duhet të merremi me informacionin që luan një rol të rëndësishem në jetën tonë.Njëra nga burimet kryesore të informacionit është padyshim interneti.Gjërat që na rrethojnë po veprojnë me zgjuarsi dhe po e bëjnë jetën tonë njerëzore më të mençur.Këto gjëra veprojnë me zgjuarsi pasi janë të lidhura me internetin dhe kështu quhen “Internet of Things (IoT)”.Pajisjet e IoT mbledhin dhe i shpërndajnë informatat direkt me njëra tjetrën në cloud platforma, duke e bërë të mundur grumbullimin, ruajtjen dhe analizimin e të dhënave më shpejtë dhe më saktë.IoT ofron një premtim të madh në …

Eye Pressure Monitior, Andrea Nella Levy

Computer Engineering

The document describes a mobile application that takes information from an attached device which tests eye pressure. The device consists of an IOIO board connected to a custom device that measures the frequency of a given waveform. The device was designed by another student for their senior project, which I am taking over. This device is connected to an IOIO board which is a board designed by a Google employee which works with an android phone in order to create applications that work with embedded systems. The board comes with an API and connects to the phone via a micro-USB. …

Data Center Holistic Demand Response Algorithm To Smooth Microgrid Tie-Line Power Fluctuation, Ting Yang, Yingjie Zhao, Haibo Pen, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

With the rapid development of cloud computing, artificial intelligence technologies and big data applications, data centers have become widely deployed. High density IT equipment in data centers consumes a lot of electrical power, and makes data center a hungry monster of energy consumption. To solve this problem, renewable energy is increasingly integrated into data center power provisioning systems. Compared to the traditional power supply methods, renewable energy has its unique characteristics, such as intermittency and randomness. When renewable energy supplies power to the data center industrial park, this kind of power supply not only has negative effects on the normal …

Deep Unsupervised Pixelization, Chu Han, Qiang Wen, Shengfeng He, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong

Research Collection School Of Computing and Information Systems

In this paper, we present a novel unsupervised learning method for pixelization. Due to the difficulty in creating pixel art, preparing the paired training data for supervised learning is impractical. Instead, we propose an unsupervised learning framework to circumvent such difficulty. We leverage the dual nature of the pixelization and depixelization, and model these two tasks in the same network in a bi-directional manner with the input itself as training supervision. These two tasks are modeled as a cascaded network which consists of three stages for different purposes. GridNet transfers the input image into multi-scale grid-structured images with different aliasing …

Attention-Based Lstm-Cnns For Uncertainty Identification On Chinese Social Media Texts, Binyang Li, Kaiming Zhou, Wei Gao, Xu Han Han, Linna Zhou

Research Collection School Of Computing and Information Systems

Uncertainty identification is an important semantic processing task, which is crucial to the quality of information in terms of factuality in many techniques, e.g. topic detection, question answering. Especially in social media, the texts are written informally which are widely used in many applications, so the factuality has become a premier concern. However, existing approaches that still rely on lexical cues suffer greatly from the casual or word-of-mouth peculiarity of social media, in which the cue phrases are often expressed in sub-standard form or even omitted from sentences. To tackle these problems, this paper proposes the attention-based LSTM-CNNs for the …

Automatically `Verifying’ Discrete-Time Complex Systems Through Learning, Abstraction And Refinement, Jingyi Wang, Jun Sun, Shengchao Qin, Cyrille Jegourel

Research Collection School Of Computing and Information Systems

Precisely modeling complex systems like cyber-physical systems is challenging, which often render model-based system verification techniques like model checking infeasible. To overcome this challenge, we propose a method called LAR to automatically ‘verify’ such complex systems through a combination of learning, abstraction and refinement from a set of system log traces. We assume that log traces and sampling frequency are adequate to capture ‘enough’ behaviour of the system. Given a safety property and the concrete system log traces as input, LAR automatically learns and refines system models, and produces two kinds of outputs. One is a counterexample with a bounded …

Co-Location Resistant Virtual Machine Placement In Cloud Data Centers, Amit Agarwal, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Due to increasing number of avenues for conducting cross-virtual machine (VM) side-channel attacks, the security of public IaaS cloud data centers is a growing concern. These attacks allow an adversary to steal private information from a target user whose VM instance is co-located with that of the adversary. To reduce the probability of malicious co-location, we propose a novel VM placement algorithm called “Previously Co-Located Users First”. We perform a theoretical and empirical analysis of our proposed algorithm to evaluate its resource efficiency and security. Our results, obtained using real-world cloud traces containing millions of VM requests and thousands of …

Towards Automated Domain-Oriented Lexicon Construction And Dimension Reduction For Arabic Sentiment Analysis, Hasan A. Alshahrani

Dissertations

Sentiment analysis is a type of text mining that uses Natural Language Processing (NLP) tools to identify and label opinionated text. There are two main approaches of sentiment analysis: lexicon-based, and statistical approach. In our research, we use the lexicon-based approach because the lexicon contains sentiment words and phrases which are the main linguistic units to express sentiments. More specifically, we work with domain-oriented lexicons as they are more efficient than general ones because the polarity is heavily driven by domains.

Arabic language has a degree of uniqueness that makes it hard to be processed with the available cross-language tools …

Protecting Privacy Of Data In The Internet Of Things With Policy Enforcement Fog Module, Abduljaleel Al-Hasnawi

Dissertations

The growth of IoT applications has resulted in generating massive volumes of data about people and their surroundings. Significant portions of these data are sensitive since they reflect peoples' behaviors, interests, lifestyles, etc. Protecting sensitive IoT data from privacy violations is a challenge since these data need to be handled by public networks, servers and clouds, most of which are untrusted parties for data owners. In this study, a solution called Policy Enforcement Fog Module (PEFM) is proposed for protecting sensitive IoT data. The primary task of the PEFM solution is mandatory enforcement of privacy polices for sensitive IoT data-whenever …

Efficacy Of Deep Learning In Support Of Smart Services, Basheer Mohammed Basheer Qolomany

Dissertations

The massive amount of streaming data generated and captured by smart service appliances, sensors and devices needs to be analyzed by algorithms, transformed into information, and minted to extract knowledge to facilitate timely actions and better decision making. This can lead to new products and services that can dramatically transform our lives. Machine learning and data analytics will undoubtedly play a critical role in enabling the delivery of smart services. Within the machine-learning domain, Deep Learning (DL) is emerging as a superior new approach that is much more effective than any rule or formula used by traditional machine learning. Furthermore, …

Mitigating Memory Randomization Weaknesses Via Moving Target Defense, Sultan M. Aldossary

Theses and Dissertations

In this dissertation, we address the problem of weakness of address space layout randomization. The address space randomization technique was proposed to make determining the address of a shared library more difficult since each instance of the program is loaded into a random base address. However, when address space randomization layout (ASLR) is implemented on a 32-bit system, an attacker can use a brute force attack to guess the address of the shared library.The main goal of the research described in this dissertation is to study the use of a dispatching algorithm and multiple back-end servers as a moving target …

Automatic Performance Optimization On Heterogeneous Computer Systems Using Manycore Coprocessors, Chenggang Lai

Graduate Theses and Dissertations

Emerging computer architectures and advanced computing technologies, such as Intel’s Many Integrated Core (MIC) Architecture and graphics processing units (GPU), provide a promising solution to employ parallelism for achieving high performance, scalability and low power consumption. As a result, accelerators have become a crucial part in developing supercomputers. Accelerators usually equip with different types of cores and memory. It will compel application developers to reach challenging performance goals. The added complexity has led to the development of task-based runtime systems, which allow complex computations to be expressed as task graphs, and rely on scheduling algorithms to perform load balancing between …

Development Of Portable Embedded Face Recognition Prototype, Prasad S. Garapati

Theses and Dissertations

In this thesis, we focus on developing a prototype for collecting multispectral images for face recognition. With such application, the quality of the image is an important factor that affects the accuracy of the recognition. However, the sensory data either provided in RGB channel or in NIR channel. The images acquired in RGB and NIR were never aligned in previous developments during my literature study. Thus, I propose an embedded system prototype capable of acquiring NIR and RGB images providing multispectral information which is computation efficient for real time face recognition applications.

Infrastructure-Based Access Policy Enforcement Using Software-Defined Networks, Tyler Carden Culp

Theses and Dissertations

This thesis describes a method to enhance network security using software defined networks. Standard networks use perimeter-based defenses to block attackers from gaining access to internal systems. A key problem with standard networks is that once a malicious entity has gained access to the network, they are often able to freely move throughout the network and to attack internal systems with impunity. This problem can be mitigated by placing defenses such as firewalls between machines on the network, but this approach requires significant resources and constant maintenance. If the network infrastructure itself is leveraged as a defense by individualizing the …

Phr: Patient Health Record, Quinn Nelson

Theses/Capstones/Creative Projects

The rapid development of information technology systems has expanded into multiple disciplines and results in systems that are limited by initial design and implementation: the Healthcare Information Technology (HIT) space is no different. The introduction of the Electronic Health Record (EHR) system has changed the way healthcare operates. Initial designs of these systems were focused on serving the needs of insurance companies and healthcare billing departments. Research shows that the design of EHR systems negatively impact provider-patient interactions and the care they receive. This capstone project capitalizes on the collaboration efforts between UNO and UNMC – by joining a research …

Using Dna For Data Storage: Encoding And Decoding Algorithm Development, Kelsey Suyehira

Boise State University Theses and Dissertations

The recent explosion of digital data has created an increasing need for improved data storage architectures with the ability to store large amounts of data over extensive periods of time. DNA as a data storage solution shows promise with a thousand times greater increase in information density and information retention times ranging from hundreds to thousands of years. This thesis explores the challenges and potential approaches in developing an encoding and decoding algorithm for use in a DNA data storage architecture. When encoding binary data into sequences representing DNA strands, the algorithms should account for biological constraints representing the idiosyncrasies …

A Com Parison Of Classical And Quantum Implement Ations Of A Random Number Generator: An Introduction To Quantum Computing, Charlotte Coffin

Honors College Theses

Quantum computers have potential to contribute to advancements in many disciplines including chemistry, material science, and artificial intelligence. As quantum computers become more accessible, there is a greater need for people to understand quantum computation to spearhead such advancements. This thesis discusses the basics of quantum computing, including fundamental concepts and a literature review. In order to demonstrate how quantum computation works, a random number generator is implemented on a quantum computer simulator and compared to a random number generator implemented on a classical computer. The results of the two experiments are compared. The results show that a quantum random …

Menaxhimi I Rrezikut Të Sigurisë Së Informacionit, Valon Perçuku

Theses and Dissertations

Ky punim është përpjekja ime për ta trajtuar çështjen e menaxhimit të rrezikut të sigurisë së informacionit si dhe aspektin se si rreziku perceptohet nga organizatat. Gjatë punimit nuk kam bërë ndonjë dallim të theksuar nga ajo se si organizatat apo kompanitë lokale në Kosovë operojnë krahas atyre ndërkombëtare; kjo sepse, ka pak dallim në mënyrën që operojmë. Si në Kosovë ashtu edhe ndërkombëtarisht organizatat janë të vëna përballë një rreziku që ka formën ndoshta edhe natyrën e njëjtë, përveç probabilitetit që mund të jetë më i madh bazuar në natyrën e organizatës dhe perceptimit global që ka, edhe në …

Improving Ultra-Wideband Localization By Detecting Radio Misclassification, Cory A. Mayer

Master's Theses

The Global Positioning System (GPS) and other satellite-based positioning systems are often a key component in applications requiring localization. However, accurate positioning in areas with poor GPS coverage, such as inside buildings and in dense cities, is in increasing demand for many modern applications. Fortunately, recent developments in ultra-wideband (UWB) radio technology have enabled precise positioning in places where it was not previously possible by utilizing multipath-resistant wide band pulses.

Although ultra-wideband signals are less prone to multipath interference, it is still a bottleneck as increasingly ambitious projects continue to demand higher precision. Some UWB radios include on-board detection of …

Towards Enhanced Security For Automotive Operating Systems, Maksym Hryhorenko

Theses and Dissertations

Modern automotive infotainment systems are represented by highly complex components with broad functionality and network capabilities. As a result, they are becoming more exposed to the outer world, thus turning into potentially lucrative targets for remote cyber attacks. In the worst case scenario, an attacker could gain complete control over critical vehicle’s systems, for instance, steering, braking, engine, etc. This thesis proposes security hardening features based on ARM’s TrustZone technology for infotainment systems that ensures confidentiality and integrity of critical applications. In addition, we present a technique that allows to mitigate the impact of certain attacks on the car’s internal …

Scale-Out Algorithm For Apache Storm In Saas Environment, Ravi Kiran Puttaswamy

School of Computing: Dissertations, Theses, and Student Research

The main appeal of the Cloud is in its cost effective and flexible access to computing power. Apache Storm is a data processing framework used to process streaming data. In our work we explore the possibility of offering Apache Storm as a software service. Further, we take advantage of the cgroups feature in Storm to divide the computing power of worker machine into smaller units to be offered to users. We predict that the compute bounds placed on the cgroups could be used to approximate the state of the workflow. We discuss the limitations of the current schedulers in facilitating …

Reducing The Tail Latency Of A Distributed Nosql Database, Jun Wu

School of Computing: Dissertations, Theses, and Student Research

The request latency is an important performance metric of a distributed database, such as the popular Apache Cassandra, because of its direct impact on the user experience. Specifically, the latency of a read or write request is defined as the total time interval from the instant when a user makes the request to the instant when the user receives the request, and it involves not only the actual read or write time at a specific database node, but also various types of latency introduced by the distributed mechanism of the database. Most of the current work focuses only on reducing …

Induced Hesitant 2-Tuple Linguistic Aggregation Operators With Application In Group Decision Making, Tabasam Rashid, Ismat Beg, Raja N. Jamil

Applications and Applied Mathematics: An International Journal (AAM)

In this article, hesitant 2-tuple linguistic arguments are used to evaluate the group decision making problems which have inter dependent or inter active attributes. Operational laws are developed for hesitant 2-tuple linguistic elements and based on these operational laws hesitant 2- tuple weighted averaging operator and generalized hesitant 2- tuple averaging operator are proposed. Combining Choquet integral with hesitant 2-tuple linguistic information, some new aggregation operators are defined, including the hesitant 2-tuple correlated averaging operator, the hesitant 2-tuple correlated geometric operator and the generalized hesitant 2-tuple correlated averaging operator. These proposed operators successfully manage the correlations among the elements. After …

The Intersection Of Literacy And Digital Literacy: Incorporating Writing Standards With Computer Technology Standards, Grace Mcpherson

Honors Theses

This project aims to increase access to computer science/computer technology education by providing teachers resources to enable them to teach computer science/computer technology. A survey was taken to discover the interests and needs of teachers in Hamilton County, Tennessee. The project resulted in the creation of several lesson plans that integrate English and computer science through hands-on web development exercises, computational thinking opportunities, and critical thinking.

Calculating The Cohomology Of A Lie Algebra Using Maple And The Serre Hochschild Spectral Sequence, Jacob Kullberg

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Lie algebra cohomology is an important tool in many branches of mathematics. It is used in the Topology of homogeneous spaces, Deformation theory, and Extension theory. There exists extensive theory for calculating the cohomology of semi simple Lie algebras, but more tools are needed for calculating the cohomology of general Lie algebras. To calculate the cohomology of general Lie algebras, I used the symbolic software program called Maple. I wrote software to calculate the cohomology in several different ways. I wrote several programs to calculate the cohomology directly. This proved to be computationally expensive as the number of differential forms …

Automatic Anuran Species Recognition Via Vocalization, Katrina Smart

Theses and Dissertations

Species recognition of Anuran vocalization is an important problem in ecology, which is costly and time consuming. Recently, biologists have turned to machine learning techniques to automate the process. An automated process can be made even more helpful if available to use on a smart phone, which can be used in the field by scientists and citizen scientists alike. The problem of automatic frog call recognition is challenging because features need to be chosen that can properly separate different species’ very similar sounding vocalizations. This thesis offers the following contributions: 1. Three novel feature extraction methods, which do not require …