Computer Sciences Commons^™

Dallimi Në Mes Drupal Dhe Magento Në E-Commerce, Visar Ibishi

Theses and Dissertations

E-Commerce është proces i të bërit biznes përmes kompjuterit dhe internetit. Çdo person përmes një kompjuteri mund ti vizitojë faqet e caktuara për të bërë shitblerje të produkteve. Tregtia elektronike ka bërë lehtësime të mëdha duke zvogëluar punën fizike dhe kohën, për dallim nga tregtia tradicionale ku njerëzit janë dashur që fizikisht të shkojnë për të blerë produkte. Që nga viti 1990 zhvillimi i tregtisë elektronike ka marrë hov të madh. Por siguria është një dukuri e cila ka penguar një zhvillim edhe më të madh të këtij lloji të biznesit. Siguria është sot sfida kryesore e tregtisë elektronike dhe …

Siguria Në Shfletues, Ardi Gafurri

Theses and Dissertations

Zhvillimi i teknologjisë dhe nevojat e qasjes se informacioneve në mënyrë sa më të shpejtë dhe sa me efikase ka bërë që shumica e veprimeve të kryhen me ndihmën e pajisjeve kompjuterike, përdorimi i paisjeve kompjuterike nëpërmes internetit çdo ditë është duke u shtuar por shumica e përdoruesve nuk janë të vetedijshem se sa të sigurt janë.

Qëllimi i kësaj teme është për vetëdijesimin e përdoruesve ndaj sulmeve në shfletues që tani çdo ditë e më shumë janë duke u shtuar. Në këtë punim do të tregoj për disa sulme të shfletuesve të cilat përdoren për qellime të keqija siq …

Automated Conjecturing Approach For Benzenoids, David Muncy

Theses and Dissertations

Benzenoids are graphs representing the carbon structure of molecules, defined by a closed path in the hexagonal lattice. These compounds are of interest to chemists studying existing and potential carbon structures. The goal of this study is to conjecture and prove relations between graph theoretic properties among benzenoids. First, we generate conjectures on upper bounds for the domination number in benzenoids using invariant-defined functions. This work is an extension of the ideas to be presented in a forthcoming paper. Next, we generate conjectures using property-defined functions. As the title indicates, the conjectures we prove are not thought of on our …

Revealing Malicious Contents Hidden In The Internet, Muhammad Nazmus Sakib

Theses and Dissertations

In this age of ubiquitous communication in which we can stay constantly connected with the rest of the world, for most of the part, we have to be grateful for one particular invention - the Internet. But as the popularity of Internet connectivity grows, it has become a very dangerous place where objects of malicious content and intent can be hidden in plain sight. In this dissertation, we investigate different ways to detect and capture these malicious contents hidden in the Internet. First, we propose an automated system that mimics high-risk browsing activities such as clicking on suspicious online ads, …

Learning Human Poses From Monocular Images, Xiaochuan Fan

Theses and Dissertations

In this research, we mainly focus on the problem of estimating the 2D human pose from a monocular image and reconstructing the 3D human pose based on the 2D human pose. Here a 3D pose is the locations of the human joints in the 3D space and a 2D pose is the projection of a 3D pose on an image. Unlike many previous works that explicitly use hand-crafted physiological models, both our 2D pose estimation and 3D pose reconstruction approaches implicitly learn the structure of human body from human pose data.

This 3D pose reconstruction is an ill-posed problem without …

Fuzzy Decision Tree-Based Inference System For Liver Disease Diagnosis, Himaja Sivaraju

Theses and Dissertations

Medical diagnosis can be challenging because of a number of factors. Uncertainty in the diagnosis process arises from inaccuracy in the measurement of patient attributes, missing attribute data and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated variables. Given this situation, a decision support system, which can help doctors come up with a more reliable diagnosis, can have a lot of potential.

Decision trees are used in data mining for classification and regression. They are simple to understand and interpret as they can be visualized. But, one of the disadvantages of …

Identifying Parameters For Robust Network Growth Using Attachment Kernels: A Case Study On Directed And Undirected Networks, Ahmed F. Abdelzaher

Theses and Dissertations

Network growing mechanisms are used to construct random networks that have structural behaviors similar to existing networks such as genetic networks, in efforts of understanding the evolution of complex topologies. Popular mechanisms, such as preferential attachment, are capable of preserving network features such as the degree distribution. However, little is known about such randomly grown structures regarding robustness to disturbances (e.g., edge deletions). Moreover, preferential attachment does not target optimizing the network's functionality, such as information flow. Here, we consider a network to be optimal if it's natural functionality is relatively high in addition to possessing some degree of robustness …

Evaluating And Improving The Efficiency Of Software And Algorithms For Sequence Data Analysis, Hugh L. Eaves

Theses and Dissertations

With the ever-growing size of sequence data sets, data processing and analysis are an increasingly large portion of the time and money spent on nucleic acid sequencing projects. Correspondingly, the performance of the software and algorithms used to perform that analysis has a direct effect on the time and expense involved. Although the analytical methods are widely varied, certain types of software and algorithms are applicable to a number of areas. Targeting improvements to these common elements has the potential for wide reaching rewards. This dissertation research consisted of several projects to characterize and improve upon the efficiency of several …

A Hierarchical Framework For Phylogenetic And Ancestral Genome Reconstruction On Whole Genome Data, Lingxi Zhou

Theses and Dissertations

Gene order gets evolved under events such as rearrangements, duplications, and losses, which can change both the order and content along the genome, through the long history of genome evolution. Recently, the accumulation of genomic sequences provides researchers with the chance to handle long-standing problems about the phylogenies, or evolutionary histories, of sets of species, and ancestral genomic content and orders. Over the past few years, such problems have been proven so interesting that a large number of algorithms have been proposed in the attempt to resolve them, following different standards. The work presented in this dissertation focuses on algorithms …

Positioning Commuters And Shoppers Through Sensing And Correlation, Rufeng Meng

Theses and Dissertations

Positioning is a basic and important need in many scenarios of human daily activities. With position information, multifarious services could be vitalized to benefit all kinds of users, from individuals to organizations. Through positioning, people are able to obtain not only geo-location but also time related information. By aggregating position information from individuals, organizations could derive statistical knowledge about group behaviors, such as traffic, business, event, etc.

Although enormous effort has been invested in positioning related academic and industrial work, there are still many holes to be filled. This dissertation proposes solutions to address the need of positioning in people’s …

Interest Detection In Image, Video And Multiple Videos: Model And Applications, Yuewei Lin

Theses and Dissertations

Interest detection is detecting an object, event, or process that draws attention. In this dissertation, we focus on interest detection in images, video and multiple videos. Interest detection in an image or a video is closely related to visual attention. However, the interest detection in multiple videos needs to consider all the videos as a whole rather than considering the attention in each single video independently.

Visual attention is an important mechanism of human vision. The computational model of visual attention has recently attracted a lot of interest in the computer vision community mainly because it helps find the objects …

Regular Expression Synthesis For Blast Two-Hit Filtering, Jordan Bradshaw

Theses and Dissertations

Genomic databases are exhibiting a growth rate that is outpacing Moore's Law, which has made database search algorithms a popular application for use on emerging processor technologies. NCBI BLAST is the standard tool for performing searches against these databases, which operates by transforming each database query into a filter that is subsequently applied to the database. This requires a database scan for every query, fundamentally limiting its performance by I/O bandwidth. In this dissertation we present a functionally-equivalent variation on the NCBI BLAST algorithm that maps more suitably to an FPGA implementation. This variation of the algorithm attempts to reduce …

Efficient Partitioning And Allocation Of Data For Workflow Compositions, Annamaria Victoria Kish

Theses and Dissertations

Our aim is to provide efficient partitioning and allocation of data for web service compositions. Web service compositions are represented as partial order database transactions. We accommodate a variety of transaction types, such as read-only and write-oriented transactions, to support workloads in cloud environments. We introduce an approach that partitions and allocates small units of data, called micropartitions, to multiple database nodes. Each database node stores only the data needed to support a specific workload. Transactions are routed directly to the appropriate data nodes. Our approach guarantees serializability and efficient execution.

In Phase 1, we cluster transactions based on data …

Hydro-Geological Flow Analysis Using Hidden Markov Models, Chandrahas Raj Venkat Gurram

Theses and Dissertations

Hidden Markov Models a class of statistical models used in various disciplines for understanding speech, finding different types of genes responsible for cancer and much more. In this thesis, Hidden Markov Models are used to obtain hidden states that can correlate the flow changes in the Wakulla Spring Cave. Sensors installed in the tunnels of Wakulla Spring Cave have recorded huge correlated changes in the water flows at numerous tunnels. Assuming the correlated flow changes are a consequence of system being in a set of discrete states, a Hidden Markov Model is calculated. This model comprising all the sensors installed …

Computational Doping For Fuel Cell Material Design Based On Genetic Algorithms And Genetic Programming, Emrah Atilgan

Theses and Dissertations

Developing new materials have historically been time-consuming. Computational material discovery can search large design space to identify promising candidates for experimental verification. Recently, Density Functional Theory (DFT) based first principle calculation has been able to calculate many electrical and physical properties of materials, making them suitable for computational doping based material discovery. In material doping, given a base material, one can change its properties by substituting some elements with new ones or adding additional elements. In computational doping, we have a grid of atoms in a supercell, some of which can be substituted with dopant atoms. There are many possible …

Eeg Interictal Spike Detection Using Artificial Neural Networks, Howard J. Carey Iii

Theses and Dissertations

Epilepsy is a neurological disease causing seizures in its victims and affects approximately 50 million people worldwide. Successful treatment is dependent upon correct identification of the origin of the seizures within the brain. To achieve this, electroencephalograms (EEGs) are used to measure a patient’s brainwaves. This EEG data must be manually analyzed to identify interictal spikes that emanate from the afflicted region of the brain. This process can take a neurologist more than a week and a half per patient. This thesis presents a method to extract and process the interictal spikes in a patient, and use them to reduce …

Nd − Pdpa: N Dimensional Probability Density Profile Analysis, Arjang Fahim

Theses and Dissertations

Proteins are often referred as working molecule of a cell, performing many structural, functional and regulatory processes. Revealing the function of proteins still remains a challenging problem. Advancement in genomics sequence projects produces large protein sequence repository, but due to technical difficulty and cost related to structure determination, the number of identified protein structure is far behind. Novel structures identification are particularly important for a number of reasons: they generate models of similar proteins for comparison; identify evolutionary relationships; further contribute to our understanding of protein function and mechanism; and allow for the fold of other family members to be …

Siguria E Rrjetave Kompjuterike, Blinera Ahmeti

Theses and Dissertations

Shpërndarja e internetit në përmasa më të mëdha filloi në fillim të viteve 1980. Qysh në këtë fillim lindi edhe nevoja për sigurinë e rrjetave kompjuterike, menjëherë pas shfaqjes së sulmeve të para që shkaktuan dëme në informacionet dhe sistemet kompjuterike. Ndryshimet shumë të shpejta në botën e kompjuterikës, aplikacioneve mobile dhe rrjetave pa kabllo kanë ndryshuar plotësisht tiparet e sigurisë së rrjetave. Qysh nga ajo kohë, sado që ka pasur zhvillime tepër të mëdha në botën e internetit, ende ka shumë ngecje në zhvillimin e metodave të sigurisë së rrjetave.

Problemet me sigurinë më së lehti dhe më së …

Programimi Paralel Me Gpu, Kujtim Kërqeli

Theses and Dissertations

No abstract provided.

Implementimi Dhe Adaptimi I E-Commerce Në Kompanitë E Vogla Në Zvicër, Drilon Tahiri

Theses and Dissertations

Qëllimi i këtij hulumtimi është të shqyrtojë implementimin dhe adaptimin e e-commerce në kompanitë e vogla në Zvicër . Ky hulumtim përshkruan të gjitha përfitimet dhe pengesat me të cilat ballafaqohen kompanitë e vogla gjatë procesit të implementimit të e-commerce. Një hulumtim cilësor është kryer. Po ashtu është kryer edhe një intervistë me një menaxher të një kompanie të vogël në Zvicër.

Ky studim tregon se kompanitë e vogla në Zvicër kanë përparësi në implementimin dhe adaptimin e e-commerce në krahasim me vendet e tjera të Evropës, por ende ka pengesa të cilat mund të përmirësohen në të ardhmen.

Përfitimet …

Krahasimi I Teknologjive Për Implementimin Dhe Përkrahjen E Videove Në Ueb, Rinor Svarça

Theses and Dissertations

Në këtë punim diplome jemi munduar të analizojmë dy teknologjitë më të përdorura për lansimin e videove në internet Adobe Flash dhe HTML5, edhe pse nuk janë të ngjashme kanë të përbashkët mundësinë e shfaqjes së videove në ueb faqe, ku dhe jemi fokusuar më shumë në këtë të përbashkët të këtyre dy teknologjive. Gjithashtu kemi hulumtuar për historikun, zhvillimin, ngjashmëritë dhe dallimet që kanë, kemi analizuar edhe problemet e tye dhe si ka ardhur deri te zëvendësimi i Flash me HTML5 për një kohë mjaftë të shkurtër. Jemi munduar t’i krahasojmë të gjitha pjesët e përbashkëta dhe kemi paraqitur …

Zgjidhja E Problemeve Të Transportit Në Rrjetat Telekomunikuese Duke Kaluar Në Ran-In E Bazuar Në Ip, Meriton Ahmeti

Theses and Dissertations

Operimi i Radio paisjeve (Antenat) të operatorëve të ndryshëm të telefonisë mobile dhe ndërlidhja e tyre me Rrjetën Bërthamë (Core Network) mundësohet nga RAN (Radio Access Network) i cili jo domosdoshmërisht është i njejtë për operator të ndryshëm mobil.

Përgjatë viteve të zhvillimit të Telekomunikacionit në përgjithesi dhe të Komunikimeve mobile në veçanti, janë zhvilluar teknologji të reja për ta tejkalur problemin e diversitetit në mes të teknologjive të aplikuara në rrjetën e një operatori të telefonisë mobile por edhe për të tejkaluar kufizimet e ndryshme teknike.

Në aspektin e dizajnimit të rrjetës së operatorëve të telefonisë mobile gjithmonë kalimi …

Krahasimi I Cms Platformave, Wordpress Dhe Umbraco Për Ndërtimin E Ueb Faqeve Të Korporatave, Shpëtim Rashiti

Theses and Dissertations

Në ditët e sotme përdorimi i ueb faqeve është shëndruar në një element shumë të rendësishëm për çdo kompani apo korporat, ku për çdo njërën është e rëndësishme që të kenë një ueb faqe përmes së cilës do të mund të prezantonin punën e tyre apo të shisnin produkte online. Këto ueb faqe apo sisteme kanë mjaft shumë përmbajtje dhe kërkojnë punë për tu realizuar për këtë arsye është shumë e rëndësishme që këto ueb faqe të ndërtohen duke përdorur ndonjë CMS (Content Management System) Platformë. Në praktikë egsistojnë mjaft CMS platforma mirëpo në këtë punim ne do të krahasojmë …

3d Reconstruction Of Close Range Objects Using Free And Open Source Software And Raspberry Pi Technologies, Juan Lorenzo Monrreal

Theses and Dissertations

Existing 3D rendering open source software along with Raspberry Pi technology can be used to create an affordable method and workflow for time efficient, accurate and quality scans for 3D printing. The emergence of technology spurs a technological community working to progress in a collaborative effort. This brings a potential to the possibility of efficient and economical solutions to emerging problems, in this case, the ability to render three dimensional scans using free and open source software as well as Raspberry Pi technology. The focus of this paper will be divided into three different aspects including the background needed to …

A Methodology For Evaluating The Strength Of Cued-Recall Graphical Passwords, Mohammad N. Alshehri

Theses and Dissertations

With the revolution of computers, in particular smartphones, people use them to deal with sensitive information such as making online payments, online banking, managing medical records, and communicating with others via messages, emails, and social media. Consequently, computers and smartphones have become a storehouse of private information that must be protected from getting in the hands of unauthorized people. Verifying the identity of a computer’s users before granting access to them is one option of protection. Textual passwords and PINs are commonly used for authentication on standalone PCs, and smartphones. Users create problems, such as using easy to guess passwords …

Detecting Harmful Hand Behavior With Machine Learning From Wearable Motion Sensor Data, Lingfeng Zhang

Theses and Dissertations

In medical care and special needs areas, human activity recognition helps doctors track the patients while they are unsupervised. In this paper, we will present our classifier system for detecting harmful hand behavior. The data comes from a wearable sensor on the user’s wrist. It collects signals in the three axes x, y and z. For each axis, it contains multiple attributes. Because reducing irrelevant attributes can decrease the time complexity and increase the accuracy, we started processing the raw data by ignoring some attributes from the whole attributes set. Our design approach is to apply a classification algorithm which …

Using A Personalized Machine Learning Approach To Detect Stolen Phones, Huizhong Hu

Theses and Dissertations

With the increasing number of smartphone penetration, mining smartphone data that make smartphone smarter became a top research area, there are a lot of event data which we can use to predict behavior or detect anomalies. The privacy disclosure caused by stolen or lost phones becomes an increasingly difficult problem that cannot be ignored. So we design an anomaly detection system by mining patterns to detect stolen phones. We use a pattern mining algorithm to abstract patterns from user past behavior, then construct a personalized model and use a scoring function and threshold setting strategy to detect stolen events. Moreover, …

Identifying Student Behavior For Improving Online Course Performance With Machine Learning, Makoto Mori

Theses and Dissertations

In this study we investigate the correlation between student behavior and performance in online courses. Based on the web logs and syllabus of a course, we extract features that characterize student behavior. Using machine learning algorithms, we build models to predict performance at end of the period. Furthermore, we identify important behavior and behavior combinations in the models. The result of prediction in three tasks reach 87% accurate on average without using any score related features in the first half of the semester.

Facilitating Corpus Annotation By Improving Annotation Aggregation, Paul L. Felt

Theses and Dissertations

Annotated text corpora facilitate the linguistic investigation of language as well as the automation of natural language processing (NLP) tasks. NLP tasks include problems such as spam email detection, grammatical analysis, and identifying mentions of people, places, and events in text. However, constructing high quality annotated corpora can be expensive. Cost can be reduced by employing low-cost internet workers in a practice known as crowdsourcing, but the resulting annotations are often inaccurate, decreasing the usefulness of a corpus. This inaccuracy is typically mitigated by collecting multiple redundant judgments and aggregating them (e.g., via majority vote) to produce high quality consensus …

Dogcat -- An Educational Word Game Via Computer, Muneam Jabbar Hamzah

Theses and Dissertations

DOGCAT is an educational game related to an Artificial Intelligence problem, the goal of implementing it is to help kids and young people to improve their abilities in vocabulary learning in an amusing way. In the version of DOGCAT I am proposing, several enhancements to the basic game are introduced. First, the user can choose whether he/she wants to play with three or four-letter words. (The four letter version is genuinely difficult to play, and so a computerized version would be of interest to adults as well as youngsters.) Also, the user has a choice to change the cost between …