Digital Commons Network^™

Re-Presenting The Spanish Civil War At The Museo Reina Sofía: Recordando Un Pasado “Olvidado” (Remembering A “Forgotten” Past), Gabrielle Estes

Theses

Upon opening in 1990, the Museo Nacional Centro de Arte Reina Sofía in Madrid was intended as a modern and contemporary Spanish art museum that could stand on an international scale. It has since achieved this goal, with much of its success riding on the significant work of the second-floor gallery, Picasso’s 25-foot mural entitled Guernica. The painting sets the tone for the surrounding gallery space that narrates the story of the Spanish Civil War through paintings, propaganda, photographs, magazines, and films produced during the time period. The permanent collection in this gallery helps to display a violent past 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 …

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 …

Online Fourier Analysis Of Time-Varying Signals In A Real-Time Embedded Environment, Ty Freeman

Theses

A software-based, constant-flow implementation of the radix-2 Cooley-Tukey fast Fourier transform (FFT) algorithm is presented in this paper. The program is built within a real-time embedded environment running FreeRTOS. The system is used for the online frequency anal- ysis of time-varying, one-dimensional signals of an arbitrary length. The system’s design is validated through testing to produce results accurately on signals within specific boundaries. The proposed system has a maximum transform size of 256 samples due to the memory limitations on the development board. The hardware in use is an STM32L476 Nucleo development board which simulates the lightweight, low power, and …

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 …

Exploring Search-By-Video Technology For Searching Structured Human Movements: Insights From Sign Language Look-Up Systems, Saad Hassan

Theses

Identifying unfamiliar human movements is crucial across several tasks and fields, including skill acquisition and human movement analysis research. With the advancements in computer vision technology, search systems can be developed that allow users to search for human movements by submitting a video sample. A clear example of such systems is search-by-video sign-language look-up systems. The advances in sign-language recognition technology have made it feasible to design these systems, which allow users to generate queries by either submitting a video of themselves performing the word or by submitting a video segment containing the unknown sign. These systems can be particularly …

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 …

Housing Conditions And Needs In Urban District 5, Delan Almazrooei

Theses

Dubai remains one of the key tourist attraction areas in the world. However, the city has witnessed significant population growth over the past decade, which has resulted in problems associated with urbanization, such as pollution. The formulation of the DUBAI 2020 Urban Master Plan was meant to create a supple yet workable and viable formula to balance urban development and sustainability of the environment. The plan was based on population growth, utilization of infrastructure facilities, and advancement of effectual and environmentally sustainable energy sources. The master plan will affect critical areas, including Dubai Silicon Oasis Centre (DSO). With the key …

Combating Systemic Racism With Truth Commissions, Katherine E. Miles

Theses

The main form of justice practiced in the United States when it comes to criminal proceedings and individual wrongdoings is a form of justice called Retributive Justice. Retributive justice is committed to following these three principles, 1: that those who commit certain kinds of wrongful acts, morally deserve to suffer an equivalent punishment; 2: that it is intrinsically morally good—good without reference to any other goods if some legitimate punisher gives them the punishment they deserve; and 3: that it is morally impermissible to punish the innocent intentionally or to inflict disproportionately large punishments on offenders. From the three principles …

Investigating The Impact Of Baselines On Integrated Gradients For Explainable Ai, Ajay Shewale

Theses

Deep Neural Networks have rapidly developed over the last few years, demonstrating state-of-the-art performances on various machine learning tasks such as image classification, natural language processing, and speech recognition. Despite their remarkable performance, deep neural networks are often criticized for their need for more interpretability, which makes it difficult to comprehend their decision-making process and get insights into their workings. Explainable AI has emerged as an important area of study that aims to overcome this issue by providing understandable explanations for deep neural network predictions. In this thesis, we focus on one of the explainability methods called Integrated Gradients (IG) …

A Graph-Based Approach To Studying The Spread Of Radical Online Sentiment, Le Nguyen

Theses

The spread of radicalization and extremism through the Internet is a growing problem. We are witnessing a rise in online hate groups, inspiring the impressionable and vulnerable population towards extreme actions in the real world. Though the body of research to address these issues is growing in kind, they lack a key understanding of the structure and behavior of online extremist com- munities. In this thesis, we study the structure and behavior of extremist online communities and the spread of hateful sentiments through them to address this gap in the research. We propose a novel Graph-Based Approach to Studying the …

Moodify, Jiaqi Liu

Theses

Abstract Degree: Master of Fine Arts Program: Visual Communication Design Authors Name: Jiaqi Liu Advisors Name: Mike Strobert; Adam Smith Thesis Title: Moodify This paper proposes a research and solution to address the major psychological risk factor of pathological rumination, which can lead to depression, anxiety, and other chronic conditions. Rumination and worry are identified as key components of mental illnesses and may be underpinned by the same cognitive process. This paper proposes a combined approach of Cognitive Bias Modification (CBM) and Mindfulness-Based Cognitive Therapy (MBCT) treatments to reduce worry and/or rumination. The proposed solution aims to assist users in …

Állo (Neutral - “Other”), Alex Jarus

Theses

In a balancing act between fear and curiosity, I have created a series of wood-based artifacts to serve as vessels in which I may pose questions to myself. At the core of each artifact is a sphere primarily produced from a log allowed to dry and fracture naturally, capturing a snapshot of change in motion. Through the creation of these vessels, I attempted to better understand how I define what it means for me to be queer and non-binary. Although these artifacts are contemporary works, I have removed them from a particular known visual time in hopes of providing a …

When It Clicks, Mitch Goldstein

Theses

“When It Clicks” examines my relationship to the chaos, discomfort, and anxiety of traveling through life, and the moments of calm, understanding, and clarity that intersect and juxtapose with my journey — those moments when things seem to click together and allow me to see a path through the complexities and ambiguity of life.

A Study On The Design Of Public Speaking Preparation And Social Anxiety In Young People, Jacqueline Qiu

Theses

Modern society is demanding more and more from young people. Young people need expertise and speech skills to succeed professionally. These skills need to be good enough to be appreciated and recognized in public presentations. However, most young people need clarification when it comes to speaking. They must integrate their expertise, presentation slides efficiently, and other speech skills so that the audience or leaders can comprehend. The people who are the best at public speaking become the most successful. This paper concerns a study on speech experience, presentation skills, and presentation effectiveness as indicators to improve presentations. This project was …

Ecomves: Enhancing Comves Using Data Piggybacking For Resource Discovery At The Network Edge, Sanzida Hoque

Theses

Over the past few years, Augmented Reality (AR) and Virtual Reality (VR) have emerged as highly popular technologies that demand rapid and efficient processing of data with low latency and high bandwidth, in order to enable seamless real-time interaction between users and the virtual environment. This presents challenges for network infrastructure design, which can be addressed through edge computing. However, edge computing also presents challenges, such as selecting the appropriate edge server for computing tasks in dynamic networks with rapidly changing resource availability. Named Data Networking (NDN) is a potential future Internet architecture that could provide a balanced distribution of …

Care: Towards Customized Assistive Robot-Based Education, Nafisa Abdul Razak Maaz

Theses

Purpose of the Study The aim of this paper is to propose a solution for enhancing the learning experience of elementary school students by combining Artificial Intelligence (AI) and robotics in education. Our AI-powered system aims to classify students according to their intellectual abilities and offer personalized educational materials to assist their progress. Summary We propose using a personalized tutor robot to aid students in their learning. The robot categorizes students into three groups – High-Ability Student (HAS), Average-Ability Student (AAS), or Low-Ability Student (LAS) - based on their performance, facial expressions, and subjective feedback. The robot then displays educational …

Student Grade Prediction Using Machine Learning Methods, Hameed Al-Obaidi

Theses

This capstone project addresses the challenge of students' lack of awareness regarding their academic performance and potential grade declines throughout the semester. The project aims to develop a predictive model that offers students timely warnings about their predicted grades, enabling them to take proactive measures to improve their academic performance. Utilizing the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology, the project analyzes a comprehensive dataset comprising student demographics, curriculum history, and grades in various subjects. The model undergoes rigorous evaluation and validation to ensure its effectiveness in predicting students' academic outcomes accurately. The findings reveal that the linear regression …

Facility Management System, Abdulla Talib Al Malik

Theses

Businesses nowadays are suffering due to high costs associated with energy consumption, maintenance, and overall lack of monitoring of assets. The downside of this is the negative impact high energy consumption has on the environment in terms of carbon emissions. To address this concern, this paper proposes a Facility Management System that details how a business can link all their assets to one central location for effective monitoring. This will allow any business to ensure that their maintenance costs are managed appropriately, all asset operations are in line with demand and not operating outside of when it Is required, and …

Consumer And Business Barriers To Household Food Waste Solutions, Jessica Oehman

Theses

An estimated 35.3 million tons of food waste are landfilled each year in the United States, causing negative environmental, economic, and social impacts and almost half of that waste is from households (US EPA, 2017). To meet EPA goals for landfill diversion of food waste, the material can be captured as a resource and re-used through methods such as composting. However, participation in household food waste collection programs is lacking; there is a need to understand the interplay between the individuals’ responsible for providing the waste stream and the pickup services providing the infrastructure to collect and manage the separated …

A Deep Learning-Based Pipeline To Generate Patient-Specific Anatomical Models Of The Heart Using Cardiac Mri, Roshan Reddy Upendra

Theses

Image-based patient-specific anatomical models of the heart have the potential to be used in a variety of clinical scenarios such as diagnosis and prognosis of various cardiovascular diseases (CVDs), including cardiac resynchronization therapy (CRT), ablation therapy, risk stratification, and minimally invasive cardiac interventions. Cardiac magnetic resonance imaging (MRI) provides images with high-resolution and superior soft tissue contrast, rendering it as the gold standard modality for imaging cardiac anatomy. To obtain meaningful information from such image-based personalized anatomical models of the heart, it is crucial to combine the geometric models of the cardiac chambers extracted from cine cardiac MRI and the …

Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green

Theses

This study examines the estimated increase in economic impact on a geography’s local economy by creating cross-marketing efforts between expanding an established outdoor recreation trail to a closely located city downtown commerce district. This research will analyze the resulting potential rise in sales/lodging tax revenues for that city by mapping the trail and downtown district, and cross-marketing the other to users of both or either venue. Potential increase in economic impact will be estimated utilizing IMPLAN methodology by assessing the economic impact on the local economy that a percentage range of increased spending resulting from this cross-marketing effort could generate.

The Psychogeographic Relationship With Memories, Popular Music, And Identity: A Case Study From 1995-2022 Of The Grateful Dead, Margaret Lane Walton

Theses

This paper will explore sonic geography and its impact on human and cultural geography through popular music, specifically the Grateful Dead, from 1995 to 2022. This research focuses on the eventization of the band and popular music post-Jerry Garcia’s death, whereas previous research has focused primarily on the band from 1965 to 1995. The infamous psychedelic rock and roll band was widely known for the created and imagined communities that it forged over their 30-year run. Recent research on soundscapes and music’s role in the study of geography precipitated the need for more attention to music geography. This paper explores …

Escaping Tradition: An Exploration Of Optimized Learning Environments, Mak W. Friery

Theses

This undergraduate interior design capstone research focuses on understanding how forward-thinking design approaches can improve student success and teacher effectiveness in the classroom environment. Addressing the ever-changing needs of students, this research investigates variables of classroom environments such as the impact of color, lighting, acoustics, technology, space planning, furniture, and biophilia. Understanding these factors in the classroom environment can inspire new approaches to design and class flexibility whilst positively impacting student learning outcomes, teacher effectiveness, and overall well-being.

This capstone research is conducted at a time of change within educational design approaches as they continually aim to determine which factors …

Investigating The Importance Of Non-Textual Caption Properties From Deaf And Hard Of Hearing Viewers' Perspective, Akhter Al Amin

Theses

Deaf and hard-of-hearing (DHH) viewers rely on captioning to perceive auditory information while watching live television programming. Captioning ensures that viewers can receive textual and non-textual information that is crucial to comprehend the content of the video. However, no research has investigated how non-textual properties of captioning, such as caption placement and the presentation of current speakers, influence DHH viewers’ ability to comprehend video content and their judgement of a captioned video’s quality. Thus, this work aims to understand the effect of non-textual properties of captioning on DHH viewers’ live captioned video watching experiences; these findings can inform a better …

Transmuting Tragedy: The Political Martyrdom Of The Executed Leaders Of The 1916 Easter Rising In Irish Visual Arts, Megan Howard

Theses

The Easter Rising of 1916 marked a defining moment in Irish history, as a group of Irish nationalists sought to overthrow British rule and establish an independent Irish Republic. While the rebellion was initially unsuccessful, it was a pivotal moment in Irish history that sparked a wave of national mourning and resistance following the execution of its leaders by the British government. Such a transition occurred with the careful and deliberate shaping of their legacy by their families with the aid of the Irish Catholic Church. This thesis explores the depiction of the executed leaders of the 1916 Easter Rising …

Teacher’View About Dual Enrolment Of Student With Disabilities In Special And Inclusive Private School, Mahra Saeed Ismaeil

Theses

The education of children with disabilities is challenging. Special and inclusive schools cannot offer meaningful access to education to children with disabilities. Currently, schools strive to provide access to education in a dual context: a certain number of days at inclusive schools and others at special schools. However, information on how teachers are contending with such practices is limited. This study explored teachers’ views on the education of students with disabilities in the dual enrolment education system in the United Arab Emirates (UAE). The social education model was conceptualised to understand teachers’ perceptions, collaborative efforts, resources and challenges to dual …

Representing Color As Multiple Independent Scales, Hao Xie

Theses

The concept of color space has served as a basis for vast scientific inquiries into the representation of color including colorimetry, psychology, and neuroscience. However, the ideal color space that can model both color appearance attributes and color difference as a uniform Euclidean space is still not yet available. In addition, different color appearance phenomena such as the Helmholtz-Kohlrausch effect highlight the interference or lack of independence between the existing color metrics. Based on the alternative representation of independent one-dimensional color scales and the concepts of brilliance and zero grayness proposed by Ralph Evans, a series of psychophysical experiments were …

Cheating Detection In Online Exams Based On Captured Video Using Deep Learning, Aysha Sultan Alkalbani

Theses

Today, e-learning has become a reality and a global trend imposed and accelerated by the COVID-19 pandemic. However, there are many risks and challenges related to the credibility of online exams which are of widespread concern to educational institutions around the world. Online exam system continues to gain popularity, particularly during the pandemic, due to the rapid expansion of digitalization and globalization. To protect the integrity of the examination and provide objective and fair results, cheating detection and prevention in examination systems is a must. Therefore, the main objective of this thesis is to develop an effective way of detection …