Digital Commons Network^™

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 …

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 …

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 …

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 …

A Current To Digital Converter For Power Signature Generation Applications, Arunima Aindrila Badhon

Theses

The security of IoT devices is significantly increasing as a consequence of the widespread usage of the Internet of Things (IoT) in applications that include confidential data and implementation of important control decisions using those data. Because of their cheap cost and computational limitations, IoT devices confront significant obstacles in safeguarding. Among the variety of devised tactics analyzing power is one of the most potential strategies to address such challenges. However, due to the size, cost, and power consumption of power analysis devices, this strategy is not suited for many IoT applications. In this thesis, two techniques for collecting power …

Embedded Solar Tracker Design Utilizing Solar Position Calculation With Sensor Correction, Austin Martinez

Theses

As renewable energy becomes more accessible, affordable optimization solutions have become a larger part of at home systems. Solar energy is one of the most common clean energy applications used by homeowners because of its increasing affordability. While many photovoltaic systems are statically mounted on roofs or in yards, many systems also employ some kind of solar tracking. Both single axis and dual axis solar tracking systems have been implemented and tested with multiple kinds of tracking methods. Two of the most accurate tracking strategies are utilizing light dependent resistors or using some kind of solar position calculation. This paper …

A Bit-Exact Hierarchical Systemc Model Of Ppim For Verification And Performance Modeling, Dhana Lavanya Balasubramanian

Theses

The semiconductor industry has seen tremendous advancement lately and is expected to continue to grow since multiple industries like automobile, health care, meteorology, etc are developing dedicated chips with advancements in Artificial Intelligence (AI). These improvements also come with increased complexities. Engineers now require advanced ways to model the designs in addition to existing Hardware Description Languages (HDLs) such as Very High-Speed Integrated Circuit Hardware Description Language (VHDL) and Verilog. One such way to model the designs is by using SystemC, which is a library of C++ classes and macros that can be used similar to an HDL for modeling …

Optimizing Voronoi Tessellation Façade’S Capability For Pollution Removal And Interior Daylighting In An Urban Environment, Simon Bai

Theses

Air pollutants are a major health concern in urban zones worldwide, and these unnoticeable air particulates and gases are detrimental to the individuals’ respiratory and cardiovascular wellbeing. Since buildings are the most abundant structure within these built environments, this study focuses on how to utilize the façade of these structures in an attempt to solve the escalating air pollution problem. In this case, titanium dioxide (TiO2) is introduced to give building façades the capability to deal with air pollution in addition to being inexpensive and chemically stable. A TiO2 surface makes use of photocatalysis under ultraviolet (UV) light to decompose …

An Examination Of The Effects Of The Cost Volume On Vision Transformer-Based Optical Flow Models, Andrew Thompson

Theses

The optical flow task is an active research domain in the machine learning community with numerous downstream applications such as autonomous driving and action recognition. Convolutional neural networks have often been the basis of design for these models. However, given the recent popularity of self-attention architectures, many optical flow models now utilize a vision transformer backbone. Despite the differing backbone architectures used, consistencies in model design, especially regarding auxiliary operations, have been observed. Perhaps most apparent is the calculation and use of the cost volume. While prior works have well documented the effects of the cost volume on models with …

Machine Learning Based Framework For Smart Contract Vulnerability Detection In Ethereum Blockchain, Qusai Omar Mustafa Hasan

Theses

Abstract

Blockchain technology is a disruptive technology that revolutionized digital payments and transactions of digital assets. Blockchain transactions operate using smart contracts which are automated software code that facilitates transactions between parties without the need for intermediary systems. Smart contracts have become an increasingly popular means of conducting transactions and executing code in a decentralized manner. As it can be written in various languages which have their flaws in terms of logic and vulnerabilities, also the immutability and autonomy of smart contracts also make them vulnerable to various security threats. Security for smart contracts is essential as exploiting bad logic …

The Use Of Digitalization And Internet Of Things To Help Alleviate Traffic Congestion In Addis Ababa, Ethiopia, Nujuma Ibrahim

Theses

Addis Ababa, the capital city of Ethiopia, has a population of just over 5 million people in 2021. This is 4.4% more than the population in 2020, and 8.8% more than the population in 2019 (Addis Ababa, Ethiopia Metro Area population 1950-2021). With rapid urbanization and economic growth Addis Ababa’s transportation infrastructure is unable to meet the demands of the population. As a result, the city is facing high rates of traffic congestion. Based on the research conducted by Wondwossen Taddesse for his paper on ‘Assessing & quantifying the level of traffic congestion at major intersections, the average traffic congestion …

A Comparative Analysis Of Malware Written In The C And Rust Programming Languages, Meghna Koorikkattil Praveen

Theses

The use of malware as a tool for cybercrime has become increasingly prevalent in recent years, resulting in significant economic losses and security threats. Conventionally, malware is written in C/C++. However, a recent trend has been observed where other languages are being used to write malware. One such language is the Rust programming language. This thesis aims to explore the aspects of the Rust programming language that contribute to its preference for the development of malware, limitations in current analysis tools and remediation for the same. A Systematic Literature Review (SLR) was conducted to identify the trends of current research …

The Automation Of Translation Between Sign Language Variants Through Artificial Intelligence, Mohammad Sultan Buafra

Theses

Language is the method of communication between individuals and communities through either sounds, written symbols, or visual gestures. There is a variety of languages around the world. One significant language that is made up of hand gestures is sign language and it is the main method of communication between and with deaf people. Translation between languages is a practice that has been automated with the advancement of artificial intelligence, this has also allowed for the translation of sign language into written language. However, there remains a certain gap in translating between regional variants of sign language. The purpose of this …

Netzero Insight: The Role Of Data Analytics And Machine Learning In Combating Climate Change, Tariq Najar, Chrissie Aldo

Theses

Countries must act urgently to achieve the SDGs and make significant progress for the planet and people by 2030. But there are some key challenges that the world must address. Climate change is one of the most significant challenges of our time, and its impacts can undermine the ability of all countries to achieve sustainable development. However, countries committed to limiting global warming to 1.5°C above pre- industrial levels in the Paris Agreement. Member nations pledge to take urgent action on climate change to save the planet from global warming.

Using data analysis techniques and methodologies, such as CRISP-DM, and …

Demonstration Of A Virtual Reality Driving Simulation Platform, Mingming Wang

Theses

Modern autonomous driving is undergoing a period of rapid evolution. Image processing, computer vision, and remote sensing, among others, have played crucial roles in the creation of safe and reliable robotic automobiles. However, some robotic vehicles still have difficulties in their driving mechanisms even though the current mainstream autonomous driving approaches seem to be effective in fulfilling driving duties. There have been several high-profile incidents in the early years of testing that have prompted some to question whether or not all relevant domains have been explored in order to attain human-like driving. The current sensor technique based on machine learning …

Harnessing Crispr-Cas12a And Nanotechnology For The Rapid And Accurate Detection Of Dna Viruses, Mengdi Bao

Theses

In recent years, the world has faced numerous pandemics caused by viral diseases, leading to considerable morbidity, mortality, and economic disruptions. Developing vaccines for pandemics can be a challenging task due to the rapid mutation of viruses and the significant investment of time required for their development. While real-time polymerase chain reaction and immunoassay techniques are frequently utilized for viral diagnostics, they possess inherent limitations. Therefore, there is a pressing need to rapidly and accurately identify viral infections to manage diseases effectively. This work explores the use of nanotechnology and clustered regularly interspaced short palindromic repeats (CRISPR)-associated (Cas) proteins to …

Lead Scoring Using Low Code Ml Library, Ayad Aziz

Theses

Scoring leads manually can be time-consuming and ineffective because it relies on subjective criteria and human biases. On the other hand, automated lead scoring uses advanced algorithms to analyse large datasets and accurately predict a lead's potential value to the business. It provides valuable insights into customer behaviour and preferences that inform marketing and sales strategies. Machine learning algorithms are trained on historical sales data to identify patterns and correlations that indicate a lead's likelihood to convert. They consider variables like demographic information, web behaviour, and marketing engagement to generate a lead score that reflects the probability of converting into …

Evaluating The Performance Of Process-Based And Machine Learning Models For Rainfall-Runoff Simulation With Application Of Satellite And Radar Precipitation Products, Amrit Bhusal

Theses

Hydrology Modeling using HEC-HMS (Hydrological Engineering Centre-Hydrologic Modeling System) is accepted globally for event-based or continuous simulation of the rainfall-runoff operation. Similarly, Machine learning is a fast-growing discipline that offers numerous alternatives suitable for hydrology research's high demands and limitations. Conventional and process-based models such as HEC-HMS are typically created at specific spatiotemporal scales and do not easily fit the diversified and complex input parameters. Therefore, in this research, the effectiveness of Random Forest, a machine learning model, was compared with HEC-HMS for the rainfall-runoff process. In addition, Point gauge observations have historically been the primary source of the necessary …

Hardware Accelerators And Their Use In Computer Vision, Cameron Villone

Theses

The evolution of technology is impressive. Before digital, there was analog; before software, there needed hardware. This evolution is natural as we try and optimize technology for our needs. The shift to digital was fueled by the space saved from using digital systems compared to analog. When it came to software, the ability to use generic hardware in the forms of cen- tral processing units; CPUs, Graphics Processing Units; GPUs, and Random Access Memory; RAM allowed for complex software solutions to be able to run on many different devices with- out much need for translations. With software development getting so …