Digital Commons Network^™

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 …

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, …

Using Machine Learning Application For Cardiovascular Disease Prediction And Diagnosis, Abdullah As'ad Mohammad Abu Hanieh

Theses

Despite the "information rich" nature of the healthcare business, not all data are mined to reveal unseen patterns or knowledge and enable sound decision-making. Nowadays, a persistent need is increased for data mining to discover new information from different datasets and apply it in the healthcare system to help healthcare professionals in decision making for predicting diagnosis and treatment for different diseases, such as cardiovascular disease (CVDs). In the current era, it is estimated that cardiovascular diseases constitute 30% of the global mortality rate annually. Predicting cardiovascular diseases at the right moment is challenging for cardiac consultants. The medical industry …

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 …

The Effect Of Demographic Imbalance On Crime, Maher Bhadri

Theses

This study investigates demographic imbalance on crimes in the UAE by analyzing a record of crimes from 2020 to 2022 using descriptive and inferential statistics. The findings reveal gender, marital status, and age imbalance among crime offenders in the UAE. Males, married individuals, and individuals in their 30s are more prevalent in committing crimes. Certain countries, accused individuals, and certain types of crimes are also more frequent in the UAE. Policymakers and law enforcement agencies can use these insights to develop targeted interventions to reduce crime rates in the country. Future studies should investigate the underlying causes of these imbalances …

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 …

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 …

Hua Shang, Yanjie Zhang

Theses

This thesis aims to convey the "leisure" and "slow" Chinese life concept. This Thesis shows the lives of people in different dynasties from a third-person perspective. Using traditional costumes as the carrier, it focuses on using semi-realistic visual styles to show the connection between emotions and the environment, creating an atmosphere-filled picture, and arousing the audience's thinking about the rhythm of life and their spiritual yearning for the non-obvious pleasures in life.

Darshan, Vibhav Kapoor

Theses

The thesis project examines the phenomenon and concept of darshan in the context of photography. Interpolating and extrapolating ideas from tenets of Indian philosophy, it presents a perspective on image-making and its relationship to me as an artist. With the artwork mainly situated in the cultural geographies of India and the United States, the text discusses the role of spirituality, light, colour (blue), and walking in my practice. It also references themes of painting and music – raga and rasa that are constructs of Indian musicology – and how they influence the photographic work.

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 …

Welcome To Club Soda: Ways Of Welcoming A Hearing Sibling Into The Deaf Community To Create Feelings Of Acceptance, Belonging, And Lifelong Allyship, Ariella Knight

Theses

Children who have a sibling with one or more disabilities are more likely to take on caregiver roles, the role of the elucidator, as well as exhibit externalized aggressive behaviors and/or internalized depression and anxiety than their peers. Causes of this vary but can include the differential impact of parents/caregivers, feelings of a “loss of childhood”, communication challenges, and social stigma. Acceptance and Commitment Therapy (ACT) is a therapeutic methodology in which a person works towards well-being by accepting and embracing current realities.5 S.O.D.A. is the acronym for a Sibling of a Deaf Adult/child and this paper explores how welcoming …

The Inspector: Removing Barriers To Efficient Specimen Analysis By Reduced Specimen Repositioning, Josef Mayo

Theses

Entomology is the scientific field dedicated to the research and study of insects. In the last several decades, many journals and scientific papers have addressed the decline in insect populations worldwide and the increased need to understand the reasons for this. Many have called this decline an indicator that we have entered a “Sixth Extinction” which would lead to a mass extinction of life on Earth. How can we as designers provide assistance to the scientific community who are working to understand and provide solutions to this natural crisis? As an Entomologist's primary tool for observation, microscopes and other optical …

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 …

Accessible And Functional Visualizations For Exploring And Analyzing The Writing And Programming Process, Shaney Flores

Theses

Background. Developing easily decodable and insightful visuals is a challenge in the field of data visualization. This challenge becomes more pronounced when the data is of a complex nature. Good visualizations clearly convey their data using designs with appropriate encoding, visual attributes (i.e., color, shape, size, etc.), and accessibility features (e.g., distinctive colors for color-blind individu- als). One area where well-designed visualizations can make a significant impact is elucidating the learning process. Users ranging from self-taught individuals to students enrolled in coursework could use such visuals to detect problematic areas in their process of learning skills such as writing …

An Analysis Of The Homicide Response Team In Rochester, New York, Nicole Pratt

Theses

The focus of this capstone project is on the Homicide Response Team in Rochester, New York, which is a collaborative effort among various government and local agencies to provide outreach services to the family members of homicide victims. This capstone seeks to examine community-based responses to violence, their impact on the community, and related literature, including community organizations and crisis intervention teams.

Design And Development Of A Movable Multi-Functional Display, Junjie Zhou

Theses

COVID-19 has altered lives and work. Travel restrictions and social distance requirements compel remote communication. My design will help the youth group communicate remotely in various situations. I identified two primary forms of remote communication for people separated by interviews and questionnaires: direct communication based on video calls and interactive entertainment based on online games and streaming media. I summarized long-distance communication issues and user needs in further research. Video calling is the most popular method for those who need to interact directly. Video calling does have certain drawbacks, though, like the inability to actively choose one's point of view …

Quantifying The Nexus Of Climate, Economy, And Health: A State-Of-The-Art Time Series Approach, Kameron Blair Kinast

Theses

Extreme weather events pose significant threats to human life, the economy, agriculture, and various other socio-economic aspects. This thesis presents a comprehensive analysis of the patterns of climate factors and their impact on the economy and human health using state-of-the-art and emerging statistical machine learning techniques. This research consists of two parts: exploring and comparing the effectiveness of statistical models with respect to climate time series forecasting and analyzing the effects on the economy and human health. The study employs a predominantly computational approach, leveraging R, Python, and Julia to demonstrate the role of statistical computing in understanding climate change …

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 …

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 …

Legacy, Joseph Jackson

Theses

What will A.I. look like in the near future, and how will we incorporate it? In the past decade, I have seen personal assistants like Siri and Alexa become common. I believe that the next leap in personal assistants will not be a new personality entirely but one our own choosing. Legacy is a short fiction film that offers a glimpse into the life of a programmer named Wright, who works at an A.I. company called Legacy. Legacy is a subscription-based A.I. personal assistant developer that creates a likeness of historical persons and celebrities. Following the recent death of Wright’s …

Lwir Spectral Variability Integration And Improvements To An Earth Observing Statistical Performance Model, Runchen Zhao

Theses

Remote sensing systems can be used to identify objects without physical contact. In hyperspectral remote sensing systems, pixels from a 3D hypercube can be described as a one-dimensional spectra. This one-dimensional spectrum can contain information about surface reflectance and emissivity variation as a function of wavelength, and is often thought of as the materials spectral signature or fingerprint. This spectral signature can be used in applications such as spectral target detection. To study the spectral signatures variation and its impact on target detection, for example, a parameter trade- off study is often needed. In this research, a full-spectrum spectral imaging …

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 …

Glass, Danielle Tonnessen

Theses

This project is a full walking simulator video game and includes a demonstration of a variety of game design and development skills, including pre-development documentation, narration, game design audio, graphics, post-processing, UI elements and animation. Additionally, the project promotes the author’s ability in creative writing, and involves mental health subject matter with a focus on trauma processing, hypnosis, and survivor’s guilt.

Bridge: A Thoughtful Workflow, Isabella Rainey

Theses

The creative workspace is filled with all walks of life – from right to left brains, different personality types, mental health setbacks, and differences in neurodivergencies. While the differences amongst employees can be a huge asset, it can also create a struggle to have productive and inclusive workflows – specifically in relation to project life cycles. These types of differences can create a gap in regards to healthy communication, which can lead to lesser productivity in the long run due to a disconnect with employees battling mental health setbacks. There are many tools out there already that focus on productivity, …

The Importance Of Sustainability Within The Fashion Industry, Ashlee S. Hernandez

Theses

Blogging made its debut in 1993 and from that point on the internet would change forever. This project is a lifestyle blog that will highlight the diversity of the word sustainability, focus on the final product and the sustainable methods or practices to get to that final product and dive into the history of blogging and the history of fashion sustainability. This entire project will showcase specific items of women's clothing (the final product) and the sustainable methods or processes involved in creating those final products. This project specifically defines the similarities and differences between the terms eco-friendly, sustainable, green, …

A Study Of Wicca And Art, Shannon Hillyer

Theses

Art can be interpreted from a religious perspective given knowledge of the artist’s present or past religious affiliations. The photo series presented in this paper was part of a survey that asked participants to consider their own religious backgrounds and to determine the inspiration for the photo series. This project utilized introspection, autoethnographic research, and formalist analysis to determine if viewers could pinpoint the artist’s religious affiliation based on the themes present in the photo series. Most participants identified mythological themes were present in the series but didn’t connect those to Wicca unanimously. Art can be interpreted from a religious …