Digital Commons Network^™

Cybersecurity Attacks Detection For Mqtt-Iot Networks Using Machine Learning Ensemble Techniques, Sahar Mohamed Bukhari Abdelbasit

Theses

The Internet of Things (IoT) is one of the technical advancements that is progressing swiftly. which promises to be revolutionary soon. IoT systems are convenient due to its device centralized and computerized control. This technology allows various physical devices, home applications, vehicles, appliances, etc., to be interconnected and exposed to the Internet. On the other hand, it entails the fundamental need to protect the network from adversarial and unwanted alterations. Machine-to-machine protocols like Message Queuing Telemetry Transport (MQTT) are typically used by IoT devices to communicate. Numerous techniques to attack networks employ the lightweight messaging protocol known as MQTT (Message …

Enhancing User Learning Experience Of A New Therapeutic Approach For Scleroderma Using Vr, Joanne Park

Theses

The transient receptor potential cation 6 (TRPC6) channel is an integral membrane protein that alters the intracellular calcium (Ca2+) concentration and is also responsible for a variety of tissue expression, physiological functions and channel properties (Ong et al., 2016). Recently, researchers at RIT have discovered a new therapeutic approach for scleroderma, also known as skin fibrosis, that involves the inhibition of the TRPC6 channel. To help spread awareness of their research and to enhance the user learning experience, an interactive virtual reality (IVR) experience was created, as well as supplemental 3D animations, that will be available through the researcher’s website. …

Assessing The Contribution To Opv Efficiency Of Energy Transfer In Charge Transfer Coupled H-Aggregates., Tyler James Wiegand

Theses

Organic photovoltaics (OPVs) are intended to be low-cost, long-lived devices with an array of possible applications. While record device power conversion efficiencies continue to improve, developments have largely been achieved with increasingly synthetically complex, high-cost molecules. Meanwhile, a deeper understanding of underlying molecular excited states and active layer structures influencing long-term performance is often neglected. To improve understanding of what drives efficiency in OPVs, Squaraine, a synthetically simple, low-cost organic molecule with a diverse array of excited state species and blending properties, is considered here. Focus is placed on the Squaraine charge transfer H aggregate (HCT) and how active layer …

A Study On How Twitch Streaming Can Impact The Success Of A Game, Nadine Kassassir

Theses

The aim of this project is to assess the variables that impact the success of a video game taken as a function of prizepool earnings awarded in tournaments. With the rise of streaming platforms like Twitch the reach for esports and online gaming has dramatically increased. After analyzing two datasets found on Kaggle, and performing linear regression on a newly created dataset, no relationship between viewership and earnings can be established. Irrespective of this, the increasing trend of earnings and viewership can be observed in both the datasets and online publications and statistics. This indicates the possibility of an existing …

Overview Of The Proceedings Of The 2022 Inclusion In Science, Learning A New Direction, Conference On Disability (Island), Cary A. Supalo, Jasodhara Bhattacharya, Daniel Steinberg

Journal of Science Education for Students with Disabilities

The 13th annual Inclusion in Science, Learning a New Direction, Conference on Disability was hosted by the Princeton Center for Complex Materials (PCCM), a National Science Foundation funded Materials Research Science and Engineering Center (MRSEC), and Princeton University on September 16-17, 2022 at Bowen Hall. This annual conference included presentations that featured innovative research done by science educators in formal and informal education contexts, ranging from pre-K-12 to higher education, and science education researchers, access technology developers, and others interested in the full inclusion of persons with disabilities into the Science, Technology, Engineering, and Mathematics (STEM) workforce. The 2022 ISLAND …

Out-Of-School Stem Program For Students With Visual Impairments: Adaptations And Outcomes During The Covid-19 Pandemic, Sunggye Hong, Irene Topor, Jinseok Park, Tasnim A. Alshuli, Irene L. Topor

Journal of Science Education for Students with Disabilities

Although previous research exists on making adaptations for students with visual impairments in online settings, there is limited research on the teaching and learning dynamics of students with visual impairments during the COVID-19 pandemic. Since responses to the pandemic made it difficult for students with visual impairments to participate in educational opportunities that require hands-on experiences, gaps have been identified in gaining access to educational opportunities. The current project was originally planned with programs based on in-person modes, aimed at increasing motivation and awareness of science, technology, engineering, and math of students with visual impairments. Due to limitations of in-person …

3-D Printed Microstructures With Zno Nanoflower For Antimicrobial Applications, Henry Yuqing

Theses

Many studies have been conducted to combat the bacterial infections problem by creating antimicrobial surfaces. However, the majority of them require complex manufacturing processes and expensive equipment. In this study, a cheaper and easy to be fabricated antimicrobial surface has been developed. First, a micropatterned 3D printed structure was fabricated. Then it was coated with zinc oxide (ZnO) nanoflower. The study demonstrated that micropatterned structure served as an “armor” to the nanostructure from plastic scraper and finger abrasion. To test the antimicrobial performance of the surface, the chip was immersed in 2E8 CFU/mL Escherichia coli (E. coli) suspension and incubated …

Early Detection Of Autism Spectrum Disorder (Asd) Using Machine Learning Techniques, Mahra Musabbah Bin Beyat Alfalasi

Theses

ASD is a neurological disorder that affects over 1 in 44 chilren and this rate has increased. The diagnosis process can be timely and costly. This will make it difficult for the patients to adhere to the prescribed treatments and will hinder the progress of the patient. This project is focused on increasing the efficiency of this diagnosis process through machine learning techniques. The proposed datasets are; ASD Screening Data for Adult, ASD screening Data for Children and ASD Screening Data for Adolescent. These datasets are a categorical, continuous, and binary data type. They have 21 common attributes and a …

Shipment Containers Tracking Optimization Using Machine Learning, Omran Al-Ali

Theses

The container tracking data is crucial for the effective management of supply chains. In

this report, we analyze container tracking data to identify areas for improvement in supply chain operations. Our study aims to provide insights into the factors affecting container movements,

identify areas where delays and bottlenecks occur, and suggest ways to optimize operations. The supply chain is a complex system involving multiple parties, including shippers,

freight forwarders, carriers, ports, and customs agencies. The timely delivery of goods is critical for maintaining customer satisfaction and reducing costs. Therefore, it is essential to have a robust tracking system that enables …

Study To Improve The Employee Experiences And Reducing The Employee Attrition, Mahra Essa Mohammed Belarai Alfalasi

Theses

Employee attrition is a significant issue that occurs in every company today, regardless of external environment changes. According to the definition of attrition, the number of employees gradually decreases due to retirement, death, and resignations (Marais, 2022). Attrition can occur when a well-trained and well-adjusted talented person leaves the company for any reason, leaving a gap in the workplace (BasuMallick, 2021). It is extremely difficult for HR employees to fill the gap that has been created. For today's managers, minimizing turnover rates is a major concern, and modern HR managers do this in several ways, the employee's decision was motivated …

Ensemble Methods For The Anomaly Detection In Enterprise Systems, Basem Torky

Theses

Ensemble methods have been widely used in the field of anomaly detection in enterprise systems to improve the accuracy and robustness of these systems. Anomaly detection aims to detect abnormal patterns deviating from the rest of the data, called anomalies or outliers. With millions of services or sub-systems to be monitored such as e-commerce platforms and governmental portals, our study is focusing on utilizing ensemble methods to develop a model to be used in this enterprise systems to avoid the enormous financial impacts, bad reputation, and customer dissatisfaction.

There are several ensemble methods that have been proposed in the literature, …

Customised Investment Optimization Using Genetic Algorithms, Maythaa Al Ali, Shaikha Al Dossari

Theses

Portfolio selection is an important part of fund management as it contributes to investors’ economic growth. Investing is investing money to obtain an additional or specific advantage over money. Investment involves not only profit (return), but also risk that the investor bears. The higher the return an investor expects, the higher the risk the investor takes. Proper portfolio construction can minimize the level of risk to the expected value of an individual stock portfolio. Equity portfolio optimization, therefore, plays an important role in setting an investor’s investment portfolio strategy. In recent decades, there have been great advances in financial mathematics. …

Vibration Powder Dispensing And Gravity-Fed Powder Delivery For Directed Energy Deposition Additive Manufacturing Systems, Andrew Greeley

Theses

Directed energy deposition is a class of additive manufacturing processes where focused thermal energy melts and fuses material being deposited on a part. This type of process is useful for making high performance parts, remanufacturing and repair, and for making multi-material parts. However, in systems where powder feedstock is used, only a fraction of the powder ends up in the part and the rest is usually wasted. Increasing the amount of powder captured in powder-fed directed energy deposition systems is the focus of this work. The proposed solution is to combine vibration powder dispensing and gravity-fed powder delivery systems to …

Dubai Emirate Land Price Prediction Using Analytics And Machine Learning, Shaikha Ali Mohsin Alattar Alhashmi

Theses

The Dubai Emirate is a burgeoning and vibrant region that has gained significant attention in the real estate industry due to its rapid development. With an increase in demand for land, the region has experienced a substantial surge in land prices. Therefore, precise land price prediction has become paramount for real estate investors, developers, and government officials. The purpose of this study was to employ analytics and machine learning techniques to accurately forecast land prices in the Dubai Emirate.

The study employed a dataset that included influencing factors such as, location, amenities, infrastructure, size, and other variables that affect land …

Effects Of Biochar Content And Particle Size On Mechanical Properties Of Biochar-Plastic Composites, Anne Marie Mozrall

Theses

The recent increases in plastic pollution and consumption have put bioplastics in a strong position to expand. However, better understanding is needed for bio-fillers and their effect on popular bioplastics, such as poly (lactic acid) (PLA), in order for this to occur. Biochar (BC), a stable form of carbon derived from high temperature conversion of organic material, has potential application as a plastic filler. Although biochar’s effect on petroleum-based plastics has been widely studied, there are still major gaps in the literature surrounding biochar use as a filler in PLA/starch composites. Biochar particle size and loading are two factors that …

A Novel Analytic Linear Interface Calculation And Its Use In Computational Fluid Dynamics For Enhanced Multiphase Modeling, Simon P. Shipkowski

Theses

Interfacial modeling is of widespread interest in manufacturing, imaging, and scientific applications. Presented here is an interfacial reconstruction method designed for use in Computational Fluid Dynamics (CFD) simulations of nucleate boiling, yet it is more broadly applicable. Nucleate boiling is vital in current and emerging technologies due to the high heat transfer at low temperature. A challenge for multiphase CFD simulation with phase change mass flux is the competing interests of quality mass transfer conservation, resolution of interfaces, and computational time/power. This Piecewise Linear Interface Calculation-Analytic Size Based (PLIC-ASB) method was developed to mitigate this problem in the volume of …

Towards A Reliable Machine Learning-Based Model Designed For Translating Sign Language Videos To Text, Maitha Essa Mohammad Ahli

Theses

Communication serves key roles in building relationships through sharing feelings, passing information, and connecting with others. Communication among the hearing impaired remains a significant stumbling block in today’s society since their communication means demands for an interpreter each moment. Various researchers agree that successful communication calls for the involvement of all individuals in a conversation and thus, deaf and hearing-impaired people require precise and welcoming communication to promote their working and learning relationships. Sign Language Recognition (SLR) is a critical and auspicious approach to promoting communication among hearing-impaired people. Sign languages greatly benefit from Machine Learning based translation techniques since …

Space Efficiency By Way Of Modular Furniture: Working From Home In An Era Of Shrinking Housing, Robert Deane

Theses

In the current housing market, rental prices are increasing and the size of apartments are shrinking. This combined with increased demand from increasing urbanization and jobs moving to work-from-home arrangements, renters face challenges in fitting their lives into their smaller living spaces. One of the most common challenges reported is a lack of working space in the home. As a means to address this, I designed a system of modular parts that can be built into a variety of desks, providing a customizable work-from-home environment. The system will allow consumers to purchase precisely what they need or can afford, with …

Efficiently Annotating Source Code Identifiers Using A Scalable Part Of Speech Tagger, Gavin Burris

Theses

This thesis details the process in which a part-of-speech tagger is developed in order to determine grammar patterns in source code identifiers. These grammar patterns are used to aid in the proper naming of identifiers in order to improve reader comprehension. This tagger is a continuation of an effort of a previous Ensemble Tagger [62], but with a focus on increasing the tagging rate while maintaining the accuracy, in order to make the tagger scalable. The Scalable Tagger will be trained on open source data sets, with a machine learning model and training features that are chosen to best suit …

Enhancing Small And Medium-Sized Enterprises' Performance Through The Implementation Of Erp Systems, Fatimah El Chediak

Theses

Small and medium-sized businesses (SMEs) have recognized enterprise resource planning (ERP) systems as vital for enhancing organizational efficiency, decision-making processes, and overall competitiveness. However, the effective implementation of these systems frequently presents a variety of obstacles that can prevent the attainment of their potential benefits. The purpose of this research is to investigate the critical success factors and obstacles that influence the implementation of ERP systems in SMEs and to provide suggestions for overcoming these obstacles and optimizing ERP adoption. The study employs a mixed-methods approach, combining a comprehensive literature review with primary data collected from a survey administered to …

Passive Reconfigurable Dual Linear And Dual Circular Polarization With Clrh-Tl For Microstrip Patch Antennas, Alexander Dacey

Theses

Passively controlled reconfigurable antennas are desirable for their relatively inexpensive cost compared to the intensive implementation of RF integrated circuits. Extensive research continues to go into structures utilizing frequency selective metamaterials and their applications in reconfigurable antennas in order to find alternatives to active components. Composite left/right-handed transmission lines (CLRH-TLs), consisting of series capacitors and shunt inductors, are one such structure that is capable of operating as a left-handed transmission line at select frequencies. In this thesis, we propose and investigate a unique frequency selective open circuit utilizing CLRH-TLs that operates as an electrical open and a transmission line at …

Numerical And Experimental Investigation And Optimization Of Particle Size Distribution In A Medical Jet Nebulizer Using A Multiphase Multiscale Approach, Benjamin Beaudry

Theses

Jet nebulizers are a common form of nebulizer used for aerosol treatment. They are known to function poorly in children under five due to differences in patient attributes. They must reduce their mass median aerodynamic diameter (MMAD) to work more effectively. This allows more medicine to be deposited in the lungs and absorbed. Solving this problem can affect 9 million annual deaths worldwide due to repository disease. While lowering the billions of dollars, the U.S. spends on these deaths. This study focused on the standard Hudson Micro Mist Nebulizer and investigated spray physics using experimental and simulation methods to enhance …

Microclimate Enhancement In Arid Climate, Paras Bharat Nandu

Theses

In summary, the four primary variables for human comfort - air temperature, wind speed, humidity, and mean radiant temperature - can be analyzed using solar analysis and computational fluid dynamics on computer-aided software. This allows for quick calculations and the ability to measure the effects of sun and wind on building design. Historically, designers relied on judgment for passive design decisions, but now with the help of software, sustainable architectural design solutions can be achieved. This includes utilizing proven passive techniques that have existed since ancient times but are often overlooked in favor of energy-consuming mechanical systems. This thesis challenges …

The Impact Of Digital Transformation On Human Resources During The Pandemic Covid-19, Hind Rashid Alessa

Theses

Technological advancement in human resources and the adoption of artificial intelligence, analytics, and machine learning help HR leaders become strategic leaders. Automation helps in engaging employees and improving their work experience. Human resource is an important part of an organization and before covid epidemic the human resource department works manually and in an office environment completely. However, due to covid-19 pandemic has raised the demand for working online and implementing digital transformation ways. There is a high demand for working virtually or what is called hybrid working, simple-to-use technology that can be accessible at anytime from anywhere. Human resource employees …

Measuring Diffusion Through Carbon Nanotube Arrays With Fluorescent Spectroscopy, Michael Machold

Theses

Carbon nanotube (CNT) arrays are emerging as versatile nanostructures that can be used in many applications including gene transfection technology. To understand the transport of molecules through an array of CNTs, diffusion of molecules was studied experimentally and analytically. A procedure using fluorescent spectroscopy was developed to measure the concentration change of fluorescein salt in a two-reservoir system separated by a CNT array. Experiments were conducted to measure how changing the initial concentration gradient and reservoir volume size impacted the diffusivity of the system. For 2 mL reservoirs, diffusivities were measured between 2.56*10^(-11) m^2/s and 3.51*10^(-11) m^2/s. Diffusivities were measured …

Optical Phased Array For Lidar Systems At Blue Wavelengths, Long H. Nguyen

Theses

Optical Phased Array has become a popular solution for light detection and rang- ing (lidar) due to its compact size, steering ability without physical moving parts, and integration with conventional CMOS manufacturing processes. With the rising demand in advanced driver assistance systems (ADAS) and surveying in agriculture and oceanography industries, there is a need for a durable, high performing, and integrable lidar module. For that, a suitable integrated OPA is required to carry sufficient power and have large steering angle at a particular wavelength range. This thesis is specifically focused on blue wavelengths for use in applications such as aug- …

Electricity Theft And Energy Fraud Detection, Ali Jassim Rajab

Theses

Electricity theft is a widespread problem with significant negative economic and financial impacts. This problem is still a challenge for energy utilities all around the world. Estimates place the cost of power theft and fraud in the energy sector at $96 billion yearly, with costs of up to $6 billion in only the United States, making it the third largest form of theft in the country. Therefore, tackling electrical fraud and theft is more necessary now than ever.

Different methods are being used or developed to detect this practice and lessen its effects. The project aims to detect electricity theft …

Workforce Management For Salik Call Center, Alaa Seder, Rawan Alnasser

Theses

Salik is the Dubai Roads and Transport Authority’s (RTA) automated toll collection system. Salik uses tag technology that must be registered for each vehicle either online or through an authorized dealer. With this tag, you can drive freely in the Emirate without having to stop at any toll booth. Salik means "open" or "clear" in Arabic, meaning that there are no toll booths, barriers, or physical gates. As a customer- focused organization, RTA Salik can only thrive if we truly understand the needs of our customers and provide them with the service, they want using the highest quality standards.

Prediction …

Renewable Energy In Water Desalination: Route Of Technology, Vulnerabilities And Solutions Towards Cyber Intrusion, Aya Elshinawy

Theses

The diminishing of fossil fuels is inclining day by day which poses a huge dilemma that possesses a challenge for researchers to try and unlock the key for advanced technologies where energy is sustainable. Mankind was created in a self-sustaining planet where the Sun is the peak of the energy chain which branches out many renewable and sustainable energy sources. Scientists have been exploring the possibilities of exploiting the energy of the sun in many different ways including, photovoltaics for electricity generation, solar thermal applications for heating as well as electricity generation, energy storage applications and Desalination. Water scarcity is …

Shiftable Load Forecasting And User-Centric Demand-Side Optimization For Nanogrid, Akash Kumar

Theses

Increased focus on sustainability and energy decentralization has positively impacted the adoption of nanogrid (NG). Despite its perceived advantages, NG’s high load volatility poses risk not only to its stability but also to the associated network. This is further exacerbated by the user’s transient moods and the probabilistic nature of metrological events. Moreover, unoptimized operation of electrical appliances in a NG, especially in peak hours, raises the energy cost substantially. Thus, for risk aversion and cost savings, day-ahead demand-side optimization is highly required, especially for shiftable loads. Moreover, most load centers, aspiring to be NGs, have either limited or no …