Computer Sciences Commons^™

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 …

On-Focus : A Web-Based Platform For Planning, Organizing, And Managing Focus Groups, Nnamdi Chuka-Maduji

Theses, Dissertations and Culminating Projects

Focus groups are a research methodology that researchers use to get qualitative data about a subject matter or a product. Owing to the Covid outbreak in 2019 and the prevalence of group think in focus groups, a web-based platform called On-Focus was developed as a means for researchers to organize and manage focus groups online.

On-Focus was developed by following the recommended design approach for conducting focus groups found in literatures. With On-Focus, researchers can filter out participants that are not a fit for the focus group by asking questions that are filled by participants before they send a request …

Facial Recognition And Face Mask Detection Using Machine Learning Techniques, Mira M. Boulos

Theses, Dissertations and Culminating Projects

Facial recognition, as a biometric system, is a crucial tool for the identification procedures. When using facial recognition, an individual's identity is identified using their unique facial features. Biometric authentication system helps in identifying individuals using their physiological and behavioral features. Physiological biometrics utilize human features such as faces, irises, and fingerprints. In contrast, behavioral biometric rely on features that humans do, such as voice and handwritings. Facial recognition has been widely used for security and other law enforcement purposes. However, since COVID-19 pandemic, many people around the world had to wear face masks. This thesis introduces a neural network …

Time Of Flight And Fingerprinting Based Methods For Wireless Rogue Device Detection, Daniel Chege

Theses, Dissertations and Culminating Projects

Existing network detection techniques rely on SSIDs, network patterns or MAC addresses of genuine wireless devices to identify malicious attacks on the network. However, these device characteristics can be manipulated posing a security threat to information integrity, lowering detection accuracy, and weakening device protection. This research study focuses on empirical analysis to elaborate the relationship between received signal strength (RSSI) and distance; investigates methods to detect rogue devices and access points on Wi-Fi networks using network traffic analysis and fingerprint identification methods. In this paper, we conducted three experiments to evaluate the performance of RSSI and clock skews as features …

Detecting Bots Using A Hybrid Approach, Edmund Kofi Genfi

Theses, Dissertations and Culminating Projects

Artificial intelligence (AI) remains a crucial aspect for improving our modern lives but it also casts several social and ethical issues. One issue is of major concern, investigated in this research, is the amount of content users consume that is being generated by a form of AI known as bots (automated software programs). With the rise of social bots and the spread of fake news more research is required to understand how much content generated by bots is being consumed. This research investigates the amount of bot generated content relating to COVID-19. While research continues to uncover the extent to …

Fast And Secure Friend Recommendation In Online Social Networks, Raiyan Hossain

Theses, Dissertations and Culminating Projects

Online Social Networks have completely transformed communication in the world of social networks. Participation in online social networks have been growing significantly and is expected to continue to grow in the upcoming years. As user participation in online social media is on the rise, so is the concern pertaining to user privacy and information security; users want to interact on social media without jeopardizing their privacy and personal information. Extensive research has been conducted in the area of developing privacy-preserving protocols to allow users to interact in a secure and privacy-preserving environment. One of the elements that social media have …

Towards Secure And Verifiable Computation Of Knn Queries In Outsourced Environments, Gowri Pandian Sundarapandi

Theses, Dissertations and Culminating Projects

The popularity of cloud computing has increased significantly in the last few years due to scalability, cost efficiency, resiliency, and quality of service. Organizations are more interested in outsourcing the database and DBMS functionalities to the cloud owing to the tremendous growth of big data and on-demand access requirements. As the data is outsourced to untrusted parties, security has become a key consideration to achieve the confidentiality and integrity of data. Therefore, data owners must transform and encrypt the data before outsourcing. In this paper, we focus on a Secure and Verifiable Computation for k-Nearest Neighbor (SVC-kNN) problem. The existing …

Mining Subgroups From Temporal Data : From The Parts To The Whole, Alexander Gorovits

Legacy Theses & Dissertations (2009 - 2024)

A variety of dynamic systems can be broken down into potentially overlapping subcomponents with varying temporal behavior, ranging from communities in networks, to clusters of trajectories in spatiotemporal data, to co-evolving subsets within multivariate time series. Using explicit regularization on various temporal behaviors within a tensor factorizationframework, I demonstrate means to mine these subgroups along with their temporal activities, as well as how that yields information about the overall systems. Additionally, I adapt this notion of temporal communities to the spatiotemporal setting to develop a reinforcement learning approach for optimizing co-ordinated communication between independent agents.

How The Growth Of Technology Has Forced Accounting Firms To Put An Emphasis On Cybersecurity, Holden Halbach

Accounting Undergraduate Honors Theses

The advancement of technology has brought many changes to accounting firms. Computer applications such as Microsoft Excel have made calculators and physical spreadsheets obsolete. Then with the introduction of cloud computing employees can store, access, and exchange large amounts of data instantaneously from any location. These technological innovations have increased the accuracy and efficiency of firms substantially. However, this growth in technology has shown the importance of putting an emphasis on cybersecurity throughout the accounting industry. The emphasis placed on cybersecurity throughout accounting firms is more prevalent than any other industry. This is primarily because accounting firms not only deal …