Digital Commons Network^™

Improvements To Testing And Packaging Technology For Silicon Photonics Research And Development, Eric Thornton

Theses

Silicon photonics is an emerging field that aims to integrate traditional digital CMOS logic with micro scale optical components made using silicon onto the same chip in order to overcome recent bottlenecks related to information transfer through copper interconnects. The end goal of silicon photonics is to use optical links, integrated together with modulators (devices that translate between the electrical and optical systems) controlled by traditional CMOS logic, packaged in familiar form factors, and interfaced using traditional digital serial protocols. However, groups involved in the research and development of silicon optical components do not work with these fully integrated designs …

Investigation On The Synthesis And Characterization Of Novel Phase Change Materials For Packaging Application, Sriram Srinivasan

Theses

Phase change material (PCM) is one of the majorly growing techniques used for thermal heat storage in various fields including construction for insulation and packaging industry. PCMs are widely used to increase the shelf life of the produce and prevent from harsh climatic conditions during transportation. In this present investigation, a PCM system was developed in the form of microcapsules using lauric acid (LA) and capric acid (CA) emulsions in melamine formaldehyde (MF) solution and polyurethane foam (PUF) using polytetrahydrofuran, isoprene diisocyanate, and polyethylene glycol (PEG). Acetic acid and triethylamine were used to control the pH during microcapsule preparation. The …

Leveraging Machine Learning For Enhanced Lead Quality Prediction: A Case Study Of Vam Consulting, Huthayfa Nawafleh

Theses

In today's data-driven business landscape, companies are increasingly leveraging data analytics and machine learning to optimize their lead management processes and enhance customer acquisition strategies. This research focuses on the application of data analytics and the CRISP-DM methodology to improve lead quality prediction and streamline the sales funnel for VAM Consulting, a company specializing in marketing and business technology solutions. VAM Consulting has been developing customer acquisition processes and digital marketing strategies since 2016, amassing a diverse portfolio of over 300 client projects. Despite their extensive experience and utilization of various technologies, the company faces challenges in optimizing lead generation …

Predicting Student Attrition In Higher Education Institutions In The Uae Using Machine Learning, Dezzil M. Castelino

Theses

UAE has made significant progress in the field of education, including Higher Education, by attracting students from all around the world to various colleges and universities. Student dropout or attrition is a major issue that is faced by Higher Education Institutions (HEI). Hence, we need effective techniques to identify student data that affects attrition. This research aims to explore the use of machine learning algorithms to predict student attrition at Rochester Institute of Technology- Dubai (RIT Dubai). In this research, the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology was used as it is widely used in projects based on …

An Analysis Of Machine Learning Hardware From Tenstorrent, Matthew Stephen Doerner

Theses

Machine learning is growing at an exponential rate in industry today, with contemporary machine learning models having parameter counts in the high hundred millions to trillions paired with a huge computing requirement. As the field continues to grow and the models get larger and more computationally expensive, there is a greater need for specialized hardware that can accelerate the inference and training computations that are required of these machine learning models. The design of a custom hardware device specifically made to accelerate machine learning models is very intricate, with software and hardware development that needs to work together at the …

Predicting Health Insurance Claim Costs: A Data-Driven Approach Using Machine Learning, Fatema Khela

Theses

Determining appropriate premiums for policyholders is a challenge faced by the healthcare insurance industry. Policyholders' judgments about their healthcare are negatively impacted by the growing difficulty in accurately predicting claim amounts. To overcome this difficulty, our study used data-driven methods to project the cost of health insurance claims. Claim expenses are influenced by several criteria, including claim costs, agе, gеndеr, wеight, BMI, numbеr of dеpеndеnts, smoking habits, blood prеssurе, diabеtеs, еxеrcisе routinеs, occupation, city of rеsidеncе, and hеrеditary disеasеs. The primary aim of this research is to dеvеlop prеdictivе modеls that can accuratеly еstimatе thе cost of health insurancе claims …

The Space That Tell Stories, Asia Gonzalez

Theses

This project focuses on visual storytelling in game design. The primary focus of this project is to create an environment that tells a story through visual exposition and very minimal dialogue or written words. Furthermore, the project studies the ways in which a story can be both a visual and interactive experience.

Mechelle’S Bridal Palace Business Plan, Lakendra Montgomery

Theses

This project aims to develop a comprehensive business plan for a one-of-a-kind bridal store called Mechelle's Bridal Palace, which offers an innovative and unique bridal shopping experience. The plan goes beyond the traditional bridal store concept and includes a café, which will provide customers with additional relaxation and convenience. This business plan focuses on redefining the traditional bridal shopping experience and making it more enjoyable for customers. Moreover, this project aims to address the issue of diversity, representation, and inclusion in bridal fashion. The bridal industry has historically been exclusive, and it aims to address this by creating a more …

Heat Sink Integrating Phase Change Materials (Pcms) For Cooling High Power Electronic Devices, Mohammad Sameer Qasem

Theses

This research explores the numerical analysis of phase change materials (PCMs) heat sinks, focusing on high heat flux dissipation applications, e.g. electronics cooling. Both 2D and 3D numerical models using gallium and paraffin RT31 as PCMs are considered within a heat sink design framework featuring a rectangular cavity and dual opposing vertical copper walls serving as fins to dissipate heat from the hot sink base that receives heat from the heat source. The inclusion of a Triply Periodic Minimal Surface (TPMS) ‘Primitive’ structure as an in-fill thermal conductivity enhancer (TCE) in the case of the gallium heat sink, and a …

A Computational Investigation Into Thermo-Kinetic Parameters Governing The Decomposition Of Bio-Oil Model Compounds, Ali Huseein Aljefri

Theses

Among notable products from thermal degradation of biomass are simple oxygen-containing aromatics. These compounds typically appear in high loads in collected bio-oil derived from biomass. As such, it is important to comprehend the decomposition chemistry of this category of compounds. This thesis takes on board a general approach to report thermo-kinetic parameters that govern decomposition of a selected set of bio-oil model compounds in two distinct systems: firstly radical-derived pathways in the gas phase and secondly thermal degradation in their condensed media. The first is attained through accurate density functional calculations while the second is accomplished through the use of …

Emulsion Stability, Rheological Properties, And Combustion Characteristics Of Water-Jojoba Biofuel Emulsion, Ihab Mohamed Helal

Theses

This thesis comprehensively investigates the stability, rheological properties, and engine performance implications of Water in Jojoba Biodiesel (WJBD) emulsion. The research delves into multiple aspects, including the influence of diverse surfactants and water concentrations on emulsion stability. It also yields valuable insights into the development of stable water in jojoba biodiesel emulsions, specifically tailored for diesel engines. These insights contribute significantly to the body of knowledge of positioning emulsion fuels as viable alternative to traditional diesel fuels. The anticipated benefits include notable reductions in emissions, improvement in combustion efficiency, and lower production cost. Importantly, this study underscores the critical importance …

Vascular Brain Digital Twins For Medical Training And Education In Metaverse, Shamma Khaled Alghafri

Theses

This study addresses the need for innovative educational tools in the field of anatomy, specifically focusing on brain anatomy. The objective is to develop a virtual reality application and a 3D visualization that offer immersive and interactive learning experiences for students. The VR application, developed using Unity and designed for the Oculus Quest 2 headset, creates an immersive virtual laboratory environment. This environment includes interactive elements such as a table with buttons for displaying brain models and a whiteboard for user interaction. Users can manipulate and explore different brain structures, enhancing their understanding of complex anatomical features. Additionally, we integrated …

An Intelligent Academic Advising System For Course Recommendation Using Large Language Models, Malika Maya Iratni

Theses

Academic advising is an important resource for students, especially in higher education, in order to guide them to make the best possible decisions to improve their overall academic performance and overall academic journey. With the increasing number of students joining these institutions each year, traditional advising becomes a time-consuming and inefficient process that can leave students discouraged, and advisors overwhelmed. Therefore, there is a need to develop intelligent advising systems that make use of the recent advancements in technology, to support the advising process, and increase overall student satisfaction. In this work, an academic advising model that uses Recommender Systems …

A Review Of Training For First Responders When Interacting With Individuals With Diagnoses, Mackenzie Drost, Robbie Hanson

Theses

Safety is a priority for first responders when responding to calls, but there have been numerous cases in which unintentional harm was caused when interacting with individuals with diagnoses or disabilities. Thus, it seems as though effective training procedures for these professionals is critical. However, training for first responders varies from state to state and can depend on the county in which the services are provided. Although behavioral skills training (BST) has a well-established history of training non behavior-analytic professionals and although there have been some encouraging recommendations for the effective dissemination of applied behavior analysis (ABA) to those outside …

The Effects Of Social Media In The Fashion Industry, Kirsten Leigh Whitaker

Theses

This project focuses on how social media is impacting the fashion industry. The primary focus is on the inner workings of social media within the fashion industry, and how it has changed the industry. The project aims to study problems found within fashion marketing, which are causing negative effects in the industry. The negative effects can be defined as environmental and unethical working environments, which are common topics of discussion within the fashion industry as a whole, but never discussed in tandem with the influence of marketing and social media. Furthermore, the project studies how these can be solved by …

The Impact Of Ai On Ux: Challenges And Opportunities, Susan Stephanie Wells

Theses

Integrating artificial intelligence (AI) in user experience (UX) design is reshaping the field of UX, offering new opportunities and challenges for designers. This thesis project explores the multifaceted relationship between AI and UX design, focusing on the challenges, opportunities, and skills demanded of UX designers in the age of AI. Through a review of academic research and real-world experiences, this project studies the impact of AI on web design processes, UX testing, and data analysis. Key findings highlight the transformative potential of AI in enhancing user experiences, from suggesting website structures to facilitating UX testing and data analysis.

Comparative analysis …

Head Impact Measurement Using Piezoelectric Sensors, Huda Abdulla Alnuaimi

Theses

The importance of safety measures cannot be overstated, especially when it comes to protecting the human head. Head injuries can have severe, life-altering consequences, as the head is crucial for controlling the entire body. Unlike machines that store data, the human brain's capacity to retain thoughts and memories can be significantly affected by even a single injury. This thesis introduces a method for predicting the specific area of the head that might be injured during an impact. The prediction is based on the intensity and duration of the impact. The innovation of this thesis lies in the use of piezoelectric …

Investigating Native Bamboo Practices For Reservoir Conservation And Habitat Restoration, Taryn Elizabeth Ann Bieri

Theses

Reservoirs are an important resource for both humans and wildlife. They provide drinking water, recreational opportunities, wildlife habitat and more. A major issue land managers face on reservoirs is shoreline erosion leading to water quality impairments, sedimentation, and habitat loss. Traditionally, riprap has been used to mitigate this issue, but is costly and has limited ability to provide habitat. A promising measure to mitigate shoreline erosion and provide habitat is the establishment of giant cane [Arundinaria gigantea (Walt.) Muhl], on shorelines. Giant cane, a bamboo species native to southern Illinois and the southeastern United States, forms monodominant stands called canebrakes. …

Directing A Technical Cyclone, Leonard A. Lively

Theses

In October 2023, the Southern Illinois School of Theater and Dance produced Ride the Cyclone. This thesis documents the participation of the technical director, Leonard Lively, in this collaborative production process. The project involved multimedia construction, CNC technology to manufacture custom components, curtain fabrication, engineering inspiration from anatomical structures, and advanced AutoCAD drafting techniques. Chapter one explores the play’s text, past productions, and the production’s possibilities. The design process is documented in the second chapter. The third chapter covers the production process and the fourth chapter reflects and evaluates the effectiveness of the production.

Covid-19 And Unemployment Dynamics: A Regional Analysis In The United States, Keesha Queenie St. John

Theses

The influence of the COVID-19 pandemic on unemployment rates in several US locations is examined in this research article. We investigate the intricate relationships between COVID-19 cases, mortality, GDP per capita, and unemployment rates through a thorough study of the data. The study sheds insight into the complex interaction between health crises and labor markets by revealing considerable differences in how these factors affect unemployment in various geographic locations.Unexpectedly, key findings show that places with higher COVID-19 cases frequently have lower unemployment rates. This trend is related to several variables, including critical sectors and public health activities. The positive correlation …

Dilink X Human Machine Interface Design, Tiancheng Si

Theses

In the context of autonomous and electric vehicle advancements, this thesis presents an in-depth exploration into the design and implementation of Human-Machine Interfaces (HMI) that transform the traditional vehicle interior into a multifunctional habitat. This pursuit is not merely aesthetic but an ergonomic imperative that demands innovative spatial utilization and interaction within the vehicle. It strives to reconcile human needs with the technical sophistication of autonomous vehicles, seeking to enhance the in-car experience to align with evolving user behaviors and expectations. The thesis proposes a series of design interventions aimed at optimizing the ergonomic layout and aesthetic appeal of vehicle …

Block Copolymers And Chirality: Interplay Between Conformations And Structures, Natalie Buchanan

Theses

Block copolymers can exhibit chirality at three different length scales – molecular chirality at the residue scale, conformational chirality at the molecular scale, and structural chirality at the mesoscale from the self-assembly of thousands of molecules. Unique morphologies have been formed due to chirality transfer, a phenomenon where chirality at smaller length scales imparts chirality to larger length scales. However, chirality does not always transfer, with chiral blocks existing in an achiral phase due to chiral frustration. The thermodynamics of the effects of chirality on block copolymer self-assembly is not well understood. This work demonstrates that coarse-grained models can effectively …

Predicting Hospitalization Risk Of Schizophrenia Patients In Missouri, Arun Kumar

Theses

Understanding the factors that contribute to the risk of hospitalization among individuals with schizophrenia is crucial for optimizing treatment strategies and improving patient outcomes. In this study, we used recent Medicaid adminis trative claims data in Missouri (from 2016 to 2019) and predicted the risk of hospitalization of patients diagnosed with Schizophrenia (N=143446). We ana lyzed the association between previous hospitalizations and the likelihood of future hospitalizations. We developed machine learning techniques, including logistic re gression and decision tree classifiers, to predict the risk of hospitalization based on demographic factors, clinical variables, and historical hospitalization records. Our findings reveal that …

Driver’S Accident Behavioral Analytics Using Ai, Mohamad Amin Obaid

Theses

This comprehensive dissertation constitutes a significant contribution to the ongoing global discourse on road safety. Through a judicious utilization of advanced data analysis techniques, with a particular emphasis on machine learning applications, this research endeavors to address and bridge crucial gaps in our comprehension of multifaceted aspects related to road safety. Specifically, the study aims to delve into the intricacies of accident severity factors, driver characteristics, vehicle attributes, and the complex dynamics of road conditions. By systematically exploring these dimensions, the research endeavors to unearth more nuanced and precise relationships that influence accident outcomes. Moreover, a particular focus is dedicated …

Quantifying Landscape Change Using Different Spectrometers, Spectral Unmixing, And Uas Imagery, Bianca Cilento

Theses

Climate-driven land cover change and biodiversity loss are problems impacting food security, economic growth, human health, and cultural identity of arctic environments, such as Stordalen Mire, Abisko, Sweden (68.35’ N, 18.82’ E). The sensitive nature of these remote areas necessitates large-scale, less-invasive monitoring of environmental change via remote sensing combined with low-impact, cost-effective field validation of remote sensing products. This project assesses the accuracy and utility of two low-cost spectrometers, the Sherwin-Williams® ColorSnap® and the National Aeronautics and Space Administration (NASA) Science and Technology Education for Land/Life Assessment (STELLA-Q), in conjunction with ArcGIS and GoogleEarth Engine programs and aerial imagery …

Horizonlink： Hud Innovations In Autonomous Vehicles, Xi Yang

Theses

This thesis explores the design and potential of HORIZONLINK, a pioneering concept for a full-windshield Head-Up Display (HUD) in fully autonomous electric vehicles (FAEVs). By transforming the vehicle's windshield into a fully interactive display controlled by eye-tracking and gestures, HORIZONLINK reimagines the in-car experience. This exploration delves into how immersive technologies, combined with intuitive control mechanisms, can enhance passenger comfort and engagement, thus proposing a new paradigm in interior design.

Blockchain Applications And Industrial Development, Hamad Aiman

Theses

World economies and industries are witnessing a rapid yet discreet change in the perception of data, information, and finance, paradigms that have been static for centuries. This shift is fueled by the expansive network of the internet, which is still far from being fully utilized. Emerging from this digital expanse, blockchain technology today influences how finance, services, and data collection are conducted. In a dynamically evolving economy, this innovative development prompts organizations and individuals with high stakes to accelerate their digital transformation. This research paper aims to educate readers about the potential impact of blockchain technology and digital assets across …

From Content To Composition: Equipping Non-Writing Instructors For Interdisciplinary Writing Proficiency, Taylor Weintrop

Theses

Academic writing is a fundamental component across disciplines in higher education, serving as a critical mode of communication and assessment of student understanding, proficiency, and mastery of course content. Despite its ubiquity, the responsibility for explicit writing instruction is often regulated to composition courses frequently housed within English departments, leading to a systemic and normative view that isolates writing development to a single field. This thesis critically explores the literature on writing studies, focusing on disciplinary attitudes toward writing, interdisciplinary movements, and how writing transfer occurs as students traverse academic fields. Along with the comprehensive literature review, this project includes …

A New Vicarious Technique For Radiometric And Spatial Calibration Of Drone-Based Multispectral And Hyperspectral Imaging Systems, David N. Conran

Theses

A new technology (convex mirrors) used for radiometric and spatial characterization of remote sensing imaging systems has demonstrated equal, but unique results when compared to Lambertian targets for vicarious calibration. Using convex mirrors to characterize the radiometric and spatial response of hyperspectral and multispectral imaging systems has yet to be thoroughly investigated for drone-based platforms. When imaged, a convex mirror produces a known radiant intensity source that can characterizes the radiometric and spatial performance of an imaging system. The simultaneous assessment supports a unique understanding of the hyperspectral and multispectral instrument’s response for vicarious characterization. Assessing a new technique for …

Enhancing Pump Efficiency And Reducing Energy Consumption At The Sea Water Distillation Plant Of An Aluminium Company, Essa Binshaqooi

Theses

The objective of this project is to enhance pump efficiency by at least 10% and reduce energy consumption by 5% in the Sea Water Distillation Unit of a major Aluminium Company. Challenges include progressive wear, abrasion, and sea water scaling, which contribute to major losses in pumps, leading to inefficient performance and increased operational costs. Failure Mode Analysis (FMA) and Root Cause Analysis (RCA) were conducted on both Sea Water Pumps (SWPs) and Brine Circulation Pumps (BRPs) to identify these major losses. Strategic improvements recommended for both pumps include the required pump rating, changes in composition, and performance monitoring. Detailed …