Computer Sciences Commons^™

Predict Behavioural Scores In Sleep Apnea Patients From Resting State Near-Infrared Spectroscopy (Fnirs), Amnah Abdelrahman

Computer Science and Engineering Theses - Archive

Sleep disorders are common among adults and children; it has serious consequences on their heath, cognitive development and quality of life. However, some sleep disorders are challenging to diagnose and more challenging to treat. Practitioners often rely on AIH for OSA patients’ classification task, where considering one measurement could raise a risk of oversimplification. Studies show the correlation between sleep disorders, specifically OSA, and mental health. On the other side there are an increasing number of studies suggested evidence of a relationship between the dynamic properties of functional brain structure with the behaviors and cognition attributes. This novel work objective …

Continuous American Sign Language Translation With English Speech Synthesis Using Encoder-Decoder Approach, Preetham Ganesh

Computer Science and Engineering Theses - Archive

Interaction between human beings brings about improvements in science and technology. However, the interaction is limited for people who are deaf or hard-of-hearing, as they can only communicate with others who also know their sign language. With the help of recent technologies, such as Deep Learning, the gap can be bridged by converting Sentence-based Sign Language videos into English language speech. The methods discussed in this thesis are taking a step closer to solve that problem. There are four steps involved in converting ASL (American Sign Language) videos to English language speech. Step 1 is to recognize the phrases performed …

Extend The Sensing Boundary Of Mobile Systems: Security And New Applications, Wenqiang Jin

Computer Science and Engineering Dissertations - Archive

The exploding growth of mobile devices like smartphones and wearables has envisioned various applications, which are developed to collect a wide spectrum of data using on-board device sensors and process them to serve peoples' life in all kinds of scenarios. Noticing the sensing capabilities of current mobile device are limited to its on-board sensors' default functionalities. We study the mechanism designs that extend the mobile device's sensing capabilities to perform new sensing tasks other than its defaults. In this thesis, we investigate the mobile systems' security issues and develop new applications by exploring the device's sensing capabilities. Our contributions are …

Advanced Algorithms For Combinatorial And Sequential Test Generation With Constraints, Feng Duan

Computer Science and Engineering Dissertations - Archive

Combinatorial and sequential testing are software testing strategies that have attracted significant interests from both academic and industrial communities. This dissertation addresses the problem of how to efficiently generate tests for both combinatorial and sequential testing. The dissertation makes two major contributions. For combinatorial testing, we present several optimizations on an existing t-way test generation algorithm called IPOG. These optimizations are designed to reduce the number of tests generated by IPOG. For sequential testing, we develop a notion for expressing commonly used sequencing constraints and present a t-way test sequence generation algorithm that support constraints expressed using notation. We demonstrate …

Deep Learning Methods For Image Restoration And Reconstruction, Zahra Anvari

Computer Science and Engineering Dissertations - Archive

The problem of image reconstruction and restoration refers to recovering the clean images from corrupted ones. Corruption or degradation can occur due to atmospheric conditions such as rain, fog, mist, snow, dust, and air pollution or technical drawbacks of imaging devices such as motion blurriness, compression noise, low-resolution, etc. Image reconstruction algorithms aim at reducing these artifacts and degradation and generate clear images. Scenes captured under bad weather conditions such as rain, fog, mist, and haze suffer from visibility issues thus introduce obstacles for computer vision applications, e.g. object detection, recognition, tracking, and segmentation. In this dissertation, we focus on …

An Intelligent Framework To Assess Embodied Cognition From Physical Activities In Children, Ashwin Ramesh Babu

Computer Science and Engineering Dissertations - Archive

Cognition refers to "The mental actions or process of acquiring knowledge and understanding through thought, experience, and the senses". It encompasses many aspects of intellectual functions and processes such as attention, working memory, response inhibition, motor functions, and more. Humans start to develop these cognitive skills right from their childhood and become fully developed through their adulthood. Impairments in these cognitive functions, specifically in Executive Functions (Higher-order cognitive functions), disrupt their everyday life leading to a troubled childhood and lifelong difficulties in family, employment, and community functioning leading to socio-economic repercussions. Identifying such impairments at the right age (early childhood) …

Towards Efficient Testing And Debugging Of Emerging Software Applications, Huadong Feng

Computer Science and Engineering Dissertations - Archive

Big Data and Smart Contract are among the top emerging technologies tipped to revolutionize the way businesses and organizations are run. Testing and debugging are the most important tasks during the development of any software application. Big data and smart contract applications possess unique characteristics. There is an urgent need to develop efficient techniques for testing and debugging these applications. The first part of the dissertation addresses the problem of how to debug big data applications. When a failure occurs in big data applications, debugging at the system-level can be expensive due to the large amount of data being processed. …

Analysis Of Theoretical And Applied Machine Learning Models For Network Intrusion Detection, Jonah Baron

Masters Theses & Doctoral Dissertations

Network Intrusion Detection System (IDS) devices play a crucial role in the realm of network security. These systems generate alerts for security analysts by performing signature-based and anomaly-based detection on malicious network traffic. However, there are several challenges when configuring and fine-tuning these IDS devices for high accuracy and precision. Machine learning utilizes a variety of algorithms and unique dataset input to generate models for effective classification. These machine learning techniques can be applied to IDS devices to classify and filter anomalous network traffic. This combination of machine learning and network security provides improved automated network defense by developing highly-optimized …

Human Factors Analysis And Monitoring To Enhance Human-Robot Collaboration, Akilesh Rajavenkatanarayanan

Computer Science and Engineering Dissertations - Archive

Human-Machine Interaction (HMI) can be defined as a way for us to communicate with machines through user interfaces. User interfaces have evolved from complicated punch cards and levers in the first analog computers to a more natural way of interaction using speech or gestures in today's digital assistants. Technological advancements in computing devices have paved the way for smart, powerful computers to be part of our everyday lives. There is also an increasing trend of using smart computing devices and robots in manufacturing lines, medical procedures, rehabilitation, and personal care. The umbrella of HMI typically covers several areas like Human-Robot …

Search Engine Optimization, Gentiana Sheholli Berisha

Theses and Dissertations

Lulëzimi i teknologjisë kohëve të fundit ka krijuar epokën digjitale. Rritja shpërthyese në teknologjitë kompjuterëve, të informacionit dhe të teknologjive të tjera digjitale ka një ndikim të madh në mënyrat se si kompanitë i sjellin vlerat te klientët e tyre. Epoka digjitale u ka siguruar specialistëve të marketingut mënyrat të reja ngacmuese për të mësuar rreth klientëve dhe për t`i ndjekur ata, me synime për të krijuar produkte dhe shërbime në përputhje individuale të tyre. Prandaj, ky trend çdo ditë e më shumë po bëhet e domosdoshme për çdo veprimtari. Marketingu digjital i trendit të cilin do ta diskutojmë u …

Testimi I Sigurisë Së Web Aplikacionit “Slack” Bazuar Në Standardin Owasp, Florid Canolli

Theses and Dissertations

Ueb aplikacionet janë duke u përdorur çdo ditë e më shumë dhe modernizimi, shfrytëzimi i shpeshtë i tyre si rrjedhojë ka shkaktuar rritjen e vëmendjes së personave keqbërës të cilët tentojnë në mënyra të ndryshme të ndërhyjnë në këto ueb aplikacione apo interferojnë në funksionimin adekuat të tij dhe pastaj të shkaktojnë dëme të riparueshme. .

Shpejtimi i proceseve ndërtuese të ueb aplikacioneve dhe përdorimi i teknologjive të gatshme, shkakton gabime më të shpeshta gjatë ndërtimit të ueb aplikacioneve, e të cilat individët e caktuar edhe mos qofshin profesional, të kenë mundësi ti gjejnë ato e të arrijnë deri në …

Roli I Forenzikës Kompjuterike Në Hetimin E Rasteve Me Krime Kibernetike, Amir Hyseni

Theses and Dissertations

Interneti është duke u rritur me hapa të shpejtë, ashtu siç është duke u rritur edhe numri i krimeve kibernetike të kryera kundër përdorimit të kompjuterëve. Gjurmët e letrës janë bërë gjurmë elektronike. Si përgjigje ndaj rritjes së krimit kibernetik, është shfaq fusha e forenzikës kompjuterike. Forenzika Kompjuterike përfshin mbledhjen dhe ekzaminimin e provave digjitale, që jo vetëm që e vlerësojne dëmin në një kompjuter si rezultat i një krimi apo sulmi kibernetik, por gjithashtu bën ri-kthimin (ri-marrjen) e të dhënave të humbura apo të fshehura nga një sistem i tillë për të ndjekur penalisht një kriminel kibernetik apo një …

Komunikimi I Rrjetave Pa Tela Dhe Siguria, Dokleat Veseli

Theses and Dissertations

Sistemet e komunikimit mund të jenë me tel ose me valë (pa tela) dhe mediumi i përdorur për komunikim mund të jetë ‘guided’ ose ‘unguided’. Në komunikimin me tela, mediumi është një rrugë fizike si kabllot co-axial, kabllot me çiftore të përdredhur dhe kabllot me fibrave optike etj. Termi “wireless” i referohet komunikimit ose transmetimit të informacionit në një distancë pa pranin fizike të telave, kabllo ose ndonjë mediumi tjetër përcjellës elektrik. Komunikimi pa tel është një nga mediumet e rëndësishme të transmetimit të të dhënave ose informacionit në pajisjet e tjera. Tel komunikimi pa tela informacioni transmetohet përmes ajrit, …

Zhvillimi I Aplikacionit Per Detektim Te Akullit Ne Rruge Te Automobilave, Fatbardha Muriqi

Theses and Dissertations

Ky punim diplome paraqet zhvillimin e aplikacionit për detektimin e akullit në rrugë të automobilave në platformën Android. Më saktsisht ky punim do të trajtoj dizajnimin dhe zhvillimin e një aplikacioni për detektim dhe raportim të akullit në rrugë të automobilave. Gjate stinës së dimrit problemi kryesor i vozitësve të automobilave është vozitja gjatë dhe pas reshjeve të borës, për shkak të formimit të akullit në rrugë. Për të mbajtur rrugët gjithmonë të pastruara gjatë dimrit është një gjë sfiduese, sepse moti i keq degradon gjendjen e rrugëve për një periudhë të shkurtër kohore. Gjëja më e rëndësishme është që …

Gjenerata E Pestë E Rrjetave Mobile – 5g, Rijad Sekiraça

Theses and Dissertations

Teknologjia 5G është teknologji që karakterizohet me shpejtësi relativisht të shpejtë të të dhënave,vonesë tepër të ulët, ngritje të konsiderueshme të efikasitetit të stacioneve bazë dhe ndryshime të mëdha në kualitetin e shërbimeve (QoS) për klientët në raport me rrjetet ekzistuese LTE. Gjenerata e pestë e rrjetave mobile do ta zgjerojë përdorimin e Internetit dhe do të krijojë një ekosistem masiv të lidhur me Internetin e gjërave. Avantazhi kryesor ndaj 4G dhe 4.5G (LTE i avancuar) është se, përveç shpejtësive të mëdha të transferimit të të dhënave, kjo mund të lidhet edhe me Internet of Things. Përmes rrjetit 5G, do …

Express.Js Kundrejt Nest.Js: Krahaisimi I Dy Node.Js Framework-Ave Të Dedikuar Për Server, Blendi Misini

Theses and Dissertations

Qëllimi i këtij hulumtimi është krahasimi i dy framework të Node js përkatësisht NestJS dhe ExpressJS të cilat përdoren për ndërtimin e aplikacioneve efiqiente dhë të zgjerueshm e nga ana e serverit. Node.js e (njohur edhe si Node) është një përmbledhje e paketuar e motorit JavaScript V8 të Google, për ndërtimin e lehtë të aplikacioneve të

shpejta,të shkallëzueshme dhe të lehta sa i përket hapsiërs memorike që këto framework alokojnë për nevojat e tyre. Node.js është një tekonologji e cila është ndërtuar duke u përqëndruar në performancën e lartë si dhe konsumin e ulët të memories kompjuterike. Në këtë punimë, …

Cloud Computing And Security Of Data, Elbekir Krasniqi

Theses and Dissertations

Cloud computing presents a new model for IT services and delivery and it usually involves over-a-network, on-demand, self-service access, which is dynamically scalable and elastic, utilizing pools of often virtualized resources. Through these features, cloud computing has the potential to improve the way businesses and IT operate by offering fast start-up, flexibility, scalability and cost efficiency. Even though cloud computing provides compelling benefits and cost-effective options for IT hosting and expansion, new risks and opportunities for security exploits are introduced. Security standards, policies and controls are therefore of the essence to assist management in protecting and safeguarding systems and data. …

Kopos: A Framework To Study And Detect Physical And Cognitive Fatigue Concurrently, Varun Ajay Kanal

Computer Science and Engineering Dissertations - Archive

Fatigue is one of the most prevalent phenomena in human beings, and yet its detection is highly subjective and poorly understood. The phenomenon of fatigue has a huge impact on performance, the ability to execute tasks safely and correctly, and the ability to retain or secure a job. Fatigue can be classified into two types: physical and cognitive fatigue. Physical fatigue may occur due to excessive physical exertion, while cognitive fatigue may occur due to excessive mental exertion. Historically, these two types of fatigue have been studied independently. However, in the real world, although these often occur at the same …

Dietary Supplements And Nutraceuticals Under Investigation For Covid-19 Prevention And Treatment, Ronan Lordan, Halie M. Rando, Casey S. Greene, Vikas Bansal, John P. Barton, Simina M. Boca, Christian Brueffer, James Brian Byrd, Stephen Capone, Shikta Das, Anna Ada Dattoli, John J. Dziak, Jeffrey M. Field, Soumita Ghosh, Anthony Gitter, Rishi Raj Goel, Marouen Ben Guebila, Fengling Hu, Nafisa M. Jadavji, Sergey Knyazev, Likhitha Kolla, Alexandra J. Lee, Tiago Lubiana, Temitayo Lukan, Adam L. Maclean, David Mai, Serghei Mangul, David Manheim, Lucy D.Agostino Mcgowan, Yoson Park, Dimitri Perrin, Yanjun Qi

Computer Science: Faculty Publications

Coronavirus disease 2019 (COVID-19) has caused global disruption and a significant loss of life. Existing treatments that can be repurposed as prophylactic and therapeutic agents may reduce the pandemic’s devastation. Emerging evidence of potential applications in other therapeutic contexts has led to the investigation of dietary supplements and nutraceuticals for COVID-19. Such products include vitamin C, vitamin D, omega 3 polyunsaturated fatty acids, probiotics, and zinc, all of which are currently under clinical investigation. In this review, we critically appraise the evidence surrounding dietary supplements and nutraceuticals for the prophylaxis and treatment of COVID-19. Overall, further study is required before …

The Effect Of Initial Conditions On The Weather Research And Forecasting Model, Aaron D. Baker

Electronic Theses and Dissertations

Modeling our atmosphere and determining forecasts using numerical methods has been a challenge since the early 20th Century. Most models use a complex dynamical system of equations that prove difficult to solve by hand as they are chaotic by nature. When computer systems became more widely adopted and available, approximating the solution of these equations, numerically, became easier as computational power increased. This advancement in computing has caused numerous weather models to be created and implemented across the world. However a challenge of approximating these solutions accurately still exists as each model have varying set of equations and variables to …

Smart Contract Security: A Practitioners' Perspective, Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Smart contracts have been plagued by security incidents, which resulted in substantial financial losses. Given numerous research efforts in addressing the security issues of smart contracts, we wondered how software practitioners build security into smart contracts in practice. We performed a mixture of qualitative and quantitative studies with 13 interviewees and 156 survey respondents from 35 countries across six continents to understand practitioners' perceptions and practices on smart contract security. Our study uncovers practitioners' motivations and deterrents of smart contract security, as well as how security efforts and strategies fit into the development lifecycle. We also find that blockchain platforms …

Approximate Difference Rewards For Scalable Multigent Reinforcement Learning, Arambam James Singh, Akshat Kumar

Research Collection School Of Computing and Information Systems

We address the problem of multiagent credit assignment in a large scale multiagent system. Difference rewards (DRs) are an effective tool to tackle this problem, but their exact computation is known to be challenging even for small number of agents. We propose a scalable method to compute difference rewards based on aggregate information in a multiagent system with large number of agents by exploiting the symmetry present in several practical applications. Empirical evaluation on two multiagent domains—air-traffic control and cooperative navigation, shows better solution quality than previous approaches.

A Smarter Way To Manage Mass Transit In A Smart City: Rail Network Management At Singapore’S Land Transport Authority, Steven M. Miller, Thomas H. Davenport

Research Collection School Of Computing and Information Systems

There is no widely agreed upon definition of a supposed “Smart City.” Yet, when you see city employees — in this case city-state employees — working in what are obviously smarter ways, “you know it when you see it.” One such example of a smarter way to work in a smart city setting is the way that employees of the Land Transport Authority (LTA) in Singapore are using a new generation of data driven, AI-enabled support systems to manage the city’s urban rail network. We spoke to LTA officers Kong Wai, Ho (Director of Integrated Operations and Planning) and Chris …

Characterization And Prediction Of Questions Without Accepted Answers On Stack Overflow, Mohamad Yazdaninia, David Lo, Ashkan Sami

Research Collection School Of Computing and Information Systems

A fast and effective approach to obtain information regarding software development problems is to search them to find similar solved problems or post questions on community question answering (CQA) websites. Solving coding problems in a short time is important, so these CQAs have a considerable impact on the software development process. However, if developers do not get their expected answers, the websites will not be useful, and software development time will increase. Stack Overflow is the most popular CQA concerning programming problems. According to its rules, the only sign that shows a question poser has achieved the desired answer is …

Heart Rhythm Classification From Static And Ecg Time-Series Data Using Hybrid Multimodal Deep Learning, Ahmad Abdulrazaq Abdulla Alnajjar

Theses

Cardiovascular arrhythmia diseases are considered as the most common diseases that cause death around the world. Abnormal arrhythmia diseases can be identified by analyzing heart rhythm using an electrocardiogram (ECG). However, this analysis is done manually by cardiologists, which may be subjective and susceptible to different cardiologist observations and experiences, as well as to noise and irregularities in those signals. This can lead to misdiagnosis. Motivated by this challenge, an automated heart rhythm diagnosis approach from ECG signals using Deep Learning has been proposed. In order to achieve this goal, three research problems have been addressed. First, recognize the role …

Gender Gap In Computer Science: An Invitational Rhetoric Study, Cindy Ramirez

Student Scholar Symposium Abstracts and Posters

This project will address the gender gap in computer science through a discourse analysis of materials used to attract young girls to the field. Applying Invitational Rhetoric, Foss and Griffin’s feminist rhetorical theory, I will determine how rhetoric is being used to attract or possibly dissuade young females from entering computer science. Women have contributed to the field of computer science beginning in the 19th century even though computers were not yet invented. Considered the world’s first programmer, Ada Lovelace helped pioneer the first modern computer science concepts, and many of the same ideas we use today, like variables and …

Additive Noise Subtraction For Environmental Noise In Speech Recognition, Noof Nour Alrouqi

Theses and Dissertations

Nowadays, technology encourages human beings to communicate by speech via quick voice notes through applications on cell phones. Environmental real white stationary noises impact speech intelligibility, cause the underperformance of voice production, create unclear speech recordings, and produce a disordered voice with problematic characteristics from the environmental real noises. This thesis addresses noise reduction and its major challenges, techniques, and evaluation methods and investigates relative literature by conducting a systematic classification and analyses of the selected papers, thereby proposing a framework based on additive noise subtraction for environmental-noise speech recognition called the ANSESR framework, which is supported with an automated …

Recommender App Development For Essential Health Products : Covid And Beyond, Jessica Lourenco

Theses, Dissertations and Culminating Projects

The COVID-19 pandemic has affected all of our lives in many ways and as a result people have become more health conscious. Now more than ever it is critical to take cautious steps to prevent being infected and spreading the virus. It is important to be supplied with the right products that maintain us all safe and healthy. Although many stores have health related products, sometimes it is a hassle to find them and even to pick out the best ones. With that, the Health Essentials app was developed to facilitate the findings of health products. The app is solely …

Fingerprint Classification Using Transfer Learning Technique, Aseel H. Aloweiwi

Theses, Dissertations and Culminating Projects

Fingerprints play a significant role in many sectors. Nowadays, fingerprints are used for identification purposes in criminal investigations. They are also used as an authentication method since they are considered more secure than passwords. Fingerprint sensors are already widely deployed in many devices, including mobile phones and smart locks. Criminals try to compromise biometric fingerprint systems by purposely altering their fingerprints or entering fake ones. Therefore, it is critical to design and develop a highly accurate fingerprint classification. However, some fingerprint datasets are small and not sufficient to train a neural network. Thus, transfer learning is utilized. A large Sokoto …

A Web Application To Disseminate Repatriation And Travel Information About African Countries, Daniel Otuo-Acheampong

Theses, Dissertations and Culminating Projects

Africa is a continent with incredibly diversified cultures, landscapes, and people. Due its vastness, it can be difficult to assess accurate travel related information about African countries. The purpose of this project is to build a website that will serve as an African destination information insider. African countries are drawing people from all around the world, and this is evident in the formulation of initiatives to attract people to the continent during the past decade. Prime examples of these initiatives include Ghana’s Year of Return initiative and Nigeria’s door of return. This project, that entails the design and development of …