Digital Commons Network^™

Spatiotemporal Alignment Of Event Stream With Images And Active Illumination, Abhijan Wasti

Theses

Unlike conventional frame-based cameras that form images by sampling all pixels within the duration of the global/rolling shutter, a pixel in an event camera can be triggered independently when the log intensity change in scene luminance at the pixel exceeds a threshold. This unique feature provides several advantages over conventional sensors, including high dynamic range (HDR) (≈120dB), high temporal rate (≈10,000Hz), low latency (< 1ms), and low power requirements (≈10mW). These properties make them excellent candidates for applications such as high-speed photography, HDR image reconstruction, object tracking, depth estimation, simultaneous localization and mapping, and surveillance and monitoring. Despite their potential, the asynchronous and spatially sparse nature of events poses challenges to event processing and interpretation. This is because most advanced image processing and computer vision algorithms are designed to work with conventional image formats, and not with temporally dense streams of asynchronous pixel events (i.e., the event stream). Although emerging techniques in supervised machine learning demonstrate promise, continued and rapid progress relies on the availability of labeled event datasets, which are scarce, and difficult to produce. Moreover, generating reliable events for training models is challenging due to the scene-dependent nature of event generation, which is further complicated by varying illumination and relative motion. In this thesis, we attempt to address these limitations with a novel imaging paradigm involving the capture of frames from a conventional frame-based camera that has been spa tially aligned and temporally synchronized with an event sensor. Our active illumination source allows us to generate events more consistently even under challenging illumination and motion in the scene. We demonstrate the feasibility of such a setup for a mobile eye tracking system and acquire subpixel and microsecond accurate spatiotemporal alignment. Our method facilitates the use of pre-trained models that operate on conventional images to detect features that can then be used to train models that can be applied directly to the event stream. This serves as the next step in event-based imaging and unlocks new possibilities in computer vision and imaging technology.

Using Prediction Ml Algorithm For Predicting Early Student Attrition In Higher Education, Noora Ali Mohsen Alattar Alhashmi

Theses

Abstract This study aims to use predictive models in order to figure out students that are in likelihood of attrition as well as determine the factors that may contribute to this attrition. Student attrition is the occurrence in which students leave the institution without finishing their studies or taking the degree. It includes students either willingly or involuntarily terminating their education and failing to graduate. The findings will enable relevant parties to establish successful strategies or approaches and activities to assist in reducing the number of students who leave. With the testing and analysis approaches, it was recognized that SVM …

Unraveling The Role Of Asymmetry In Structural Porous Media On The Growth Of Fluid Fingers, Amir Ibrahim

Theses

Instabilities at fluid-fluid interfaces are ubiquitous in porous media, even at small flow rates. The growth of fluid fingers during fluid-fluid immiscible displacement in a porous medium results in partial saturation of the medium, and inefficiency in displacement has a tremendous economic impact on oil recovery, chemical reactors, and water filtration industries. In this study, we demonstrate that an inherent asymmetry in the structure of a porous medium controls the development of fluid fingers due to instabilities at fluid interfaces. We construct a 2D porous medium consisting of a matrix of triangles using soft lithography to investigate air displacement by …

Improving Automatic Refactoring Candidate Identification, Ryan Devoe

Theses

Extract method refactoring is pivotal for enhancing code readability, maintainability, and modularity by segmenting complex code into clearer, isolated methods. Identifying opportunities for such refactorings necessitates a deep understanding of the codebase’s evolution and its intricate relationships. Current methodologies utilize developer commit messages, advanced graph analysis, and diverse machine learning approaches to automate this identification process. This research delves into the application of deep learning-based Large Language Models (LLMs) to tackle the complexities inherent in extract method refactoring. We introduce innovative approaches, including the use of LLMs to cluster code blocks based on complex patterns and dependencies, and the analysis …

Utilization And Justification Of Generative Ai Technologies For Schematic Architectural Design, Aaric Celeste

Theses

Today, architecture is heavily assisted by computer programs. As technology advances, these programs will be more impactful in the design space and will become more inseparable as a result. It is nearly certain that architectural design will no longer be as time-consuming and reiterative as it is today. Computer software and AI-assisted tools will be able to interpret information and produce practical designs that architects otherwise couldn’t. It may seem futuristic and a not-in-our-lifetime phenomenon, but it in fact already exists today. Algorithms are already developed to assist and in some cases take over design work. This thesis discovered existing …

Exploring The Positive Impact Of Emotionally Designedfurniture On Alleviating Negative Symptoms In Individualswith Complex Post-Traumatic Stress Disorder (C-Ptsd): Acase Study Of Chinese Families Influenced By Traditional Confucian Culture., Guangxin Zhang

Theses

This study aims to explore whether emotionally designed furniture has a positive impact on alleviating negative symptoms in individuals with Complex Post-Traumatic Stress Disorder (C-PTSD). Through a combination of literature review and empirical research, the characteristics of C-PTSD individuals and their common negative symptoms, including anxiety, depression, fatigue, etc., were first reviewed and analyzed. Then, the hypothesis of the positive impact of emotionally designed furniture on individuals with C-PTSD was proposed. The study further explores how emotionally designed furniture enhances environmental comfort and fosters emotional connections in personal spaces to provide psychological support and alleviate symptoms in individuals with C-PTSD. …

Emotional First Aid Kit Design, Wenxi Qi

Theses

In contemporary society, the shift towards holistic well-being has highlighted the critical importance of emotional health in maintaining overall quality of life. Research indicates that emotional health issues now pose a greater threat to individual well-being and productivity than physical ailments. Despite this, there exists a significant gap in awareness and emphasis between physical and emotional health across various sectors, contributing significantly to the prevalence of mental health issues. This research paper introduces the "Emotional First Aid Kit," a novel design concept aimed at addressing emotional distress in everyday scenarios similar to conventional first aid kits managing physical injuries. The …

Autowaze: Automated, Real-Time, And Accurate Traffic Analytics, Vijay Bajracharya

Theses

A key factor leading to the inefficiency of transportation systems is the lack of real-time, fine-grained traffic analytics. An average motorist in the United States spends a significant amount of time looking for parking spots during their daily commute. Existing systems for traffic analytics are either not scal- able to large metropolitan areas or require a human-in-the-loop. This project focuses on automating the detection of fine-grained traffic analytics. Lever- aging on-board stereo cameras, Autowaze utilizes a crowd-sourced strategy to take time-windowed snapshots of the road containing 3D map points of the environment. These snapshots are used to extract changes in …

On The Naming Of Identifiers: A Survey Of Undergraduate Students, Stacy Skalicky

Theses

Alsuhaibani et al. state that 60% of the participants do not have strict or any naming standards in the workplace and developers surveyed desired clear method naming standards to promote code comprehension [2]. Martin indi-cated identifier names are responsible for 90% of what makes software readable and understandable [25] . Borstler et al. indicated readability was important to developers at every level of experience but few report their academic influences being effectively leveraged to make quality identifiers [5]. Keuning et al. surveyed teachers in programming-related fields and found that code quality although important, was not a big part of their …

Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang

Theses

Natural disasters such as floods, hurricanes, cyclones, storms, earthquakes, wildfires, and landslides displace people. As responses at the community resilience level, the temporary post-relief shelter is critical for the community's rapid recovery. Converting existing public facilities is the fastest way to respond to a crisis. However, the Hurricane Katrina Superdome Shelter alerted society to the prevalence of sexual assault in transitory catastrophe contexts. Not only has sexual abuse occurred, but prior shelters did not equip every user with physical barriers to suit their needs. This study examined academic journals, articles, and books to identify issues with natural disaster shelters created …

Electron Counting, Dopant Implementation, & Electron Phonon Interaction Mesh Sensitivity Testing For Nanoscale Energy Transport Model, Dominick Velez

Theses

Managing thermal energy generation and heat transfer within nanoscale devices (transistors) of modern-day electronics is important as it limits speed, carrier mobility, and affects device reliability. In the nanoscale, heat conduction occurs primarily via phonon transport and heat generation is a result of electron-phonon interactions in these devices. Traditional methods of predicting physical behavior have proven to lack either physical accuracy, computational efficiency, or flexibility. The Nanoscale Energy Transport Model (NETM) is an engineering design tool introduced to calculate non-equilibrium transport of energy carriers in nanoscale devices and overcome the deficiencies of traditional models of energy-carrier transport The NETM previously …

Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi

Theses

Aim- The study aimed for creating a machine learning algorithm which succeeded customs control procedures through estimating shipments being either illicit or non-illicit. The study aimed at boosting the level of accuracy in determining the critical shipments, which would in turn, increase customs productivity, minimize false positive and false negative, as well as augment security and ensure the smoothness of trade flow, amid a palpable surge in importation rates. Methods- The study implemented the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), which has a well-structured approach of achieving standard data mining solutions. At the beginning, the efforts have been …

Second-Order Permutation Variable Importance: Quantifying And Attributing Uncertainty In Future Coastal Risk, Dwight Dinkins

Theses

Sensitivity analysis (SA) systematically assesses and quantifies a model’s uncertainty by examining the impact of parameter variations on the model’s output. An objective of sensitivity analysis is to ascertain model-input parameters that contribute the most to the uncertainty of a model’s output and could serve as a gauge to determine whether a parameter’s variation is suitable, expected, or a realistic representation of the phenomenon being modeled. Incorporating sensitivity analysis for assessing the importance of a model feature is imperative for decision-making. Therefore, as a statistical methodology, SA’s application in investigating coastal regions that are vulnerable to sea-level rise and extreme …

Goalbert: Goal-Directed Colbert For Iterative Retrieval, Ben Giacalone

Theses

We dissect and extend ColBERT, a state of the art multi-vector retrieval model. We first perform a number of experiments to identify the role structural tokens (i.e. [CLS], [SEP], [MASK], [Q]) play in retrieval. The most consequential findings are that (1) [MASK] tokens can be remapped to their closest non-[MASK] embedding without a significant degradation in performance, (2) the existence of [MASK], [Q], and [D] does not really affect the contextualization of query text tokens, and (3) [CLS] and [SEP] can act as “summary” embeddings for the model. In another set of experiments, we ex tend the number of [MASK] …

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 …

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 …

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.

White Cell Support Application For Expo Ops Tactical Wargame System, Zackery Joseph Milder

Theses

The purpose of this project was to create a support application for a tabletop wargame currently used for training and scenario simulation by the United States Marine Corps. The EXPO OPS Companion is meant to enhance the capabilities of the White Cell/table director, the unbiased third party responsible for running adjudication for the EXPO OPS Tactical Wargames System. EXPO OPS TWS is “…a table top wargame covering contemporary and future conflict at the platoon, company and battalion level. It is a wargame toolkit that enables wargaming scenarios in the 2020 to 2030 timeframe. The design centers on plans and decisions …

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 …

Evolutionary Neural Network For Optimized Clock Tree Synthesis, Patrick Jeffery

Theses

Clock Tree Synthesis (CTS) is a complex and in depth process that, in modern designs, would take an individual months if not years to get a working design. Tools such as Cadence Innovus and Synopsys ICC provide excellent support for CTS and can be used to create well optimized trees; allowing the user to edit the tree’s generation down to a single buffer. However, even these tools can fall short of a perfectly optimized route and oftentimes need a capable user to direct them in the right direction just to get a functioning clock tree. The aim of this work …

Benchmarking Of Matrix Multiplication Acceleration Methods, Ashish Tondwalkar

Theses

With the advent of artificial intelligence (AI), performance and model runtime feasibility poses a challenge to the advancement of AI technology. Novel methods of accelerating the core mathematical functions of AI applications are being explored. The crux of AI computations that would benefit from hardware acceleration is matrix multiplication. This thesis explores the acceleration of matrix multiplication using systolic arrays and the strassen algorithm, methods known for enhancing computational efficiency through parallel processing. The research focuses on the design, implementation, and comprehensive testing of these architectures to expedite matrix multiplication tasks, crucial for applications in deep learning and signal processing. …

Uvm Verification Of A Dtmf Receiver Core, Clayton Koppi

Theses

Integrated circuits grow more complex as digital designers implement more features on a project. All modern integrated circuits require some form of testing in order to prove that their functionality matches the design requirements. As the complexity of a design increases, the number of potential bugs increases dramatically. The need for a testbench that is reusable, modular, and organized is apparent for modern integrated circuits. Verification is the process of proving the design matches its requirements, and discovering bugs in simulation. The business motivation behind verification is ensuring the product will work before starting the costly and long fabrication process. …

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 …

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 …

Pipecolic Acid And Novel Insights Into Cerebral Malaria, Akua E. Mensah

Theses

Cerebral malaria (CM), a severe manifestation of Plasmodium infection, prompts our investigation into the nuanced role of pipecolic acid in its pathophysiology. To unravel the molecular intricacies, we conducted in vitro lysine labeling techniques of mice infected with P. berghei ANKA parasites, and human P. falciparum grown in vitro, aiming to discern the impact of Plasmodium on pipecolic acid production. Previous observations indicated an elevation in pipecolic acid levels correlating with neurological decline in children with CM. In our study, confirming elevated pipecolic acid presence in the plasma and brain tissues of CM patients and the animal model of CM, …

Methodology For Volumetric Estimation Of Condensed Water Vapor Plumes From Remotely Sensed Imagery, Ryan J. Connal

Theses

In recent years, technological developments have advanced the capabilities of computer vision techniques, including those leveraged toward 3D reconstruction with Structure-from-Motion. This process allows for the generation of accurate 3D models from sets of 2D imagery. With accurate feature detectors and matchers, Structure-from-Motion remains a widely used technique. However, the reconstruction of 3D structure is heavily dependent on the spatial characteristics of the object of interest. Fast-moving, featureless, and dynamic objects suffer from this latter issue, where standard or advanced feature detectors cannot derive any information on the object's surface. With the goal of producing three-dimensional geometric reconstructions of condensed …

Continual Learning For An Ever Evolving And Intelligent Malware Classification System, Mohammad Saidur Rahman

Theses

Malware classification poses unique challenges for continual learning (CL) systems, driven by the daily influx of new samples and the evolving nature of malware threats that exploit new vulnerabilities. Antivirus vendors encounter hundreds of thousands of unique software pieces daily, encompassing both malicious and benign files. Over its operational life, a malware classifier can accumulate more than a billion samples. Training malware classification system with only new samples and classes leads to catastrophic forgetting (CF), where the system forgets previously learned data distribution. While retraining with all old and new samples effectively combats CF, it is computationally expensive and necessitates …

Color Change: Illumination And Observers, Che Shen

Theses

While color change is often associated with physical or chemical alterations in an object, this thesis focuses on perceptual color changes due to factors like color inconstancy under different lighting conditions, observer metamerism due to varying color matching functions, and individual differences in hue perception despite identical tristimulus values. Based on the complexities of color change phenomenon, a psychophysical experiment was conducted to establish the threshold of color inconstancy, where observers were tasked with categorizing colors under varying lighting. A major advancement in this thesis is the development of the Weighted Geometric Mean (WGM) model, an advanced chromatic adaptation model …

Predictive Analytics: Assessing Air Pollution’S Influence On Real Estate Prices In Dubai, Hani Khalaf

Theses

This study examines the link between air pollution and property prices in Dubai. It aims to find the relationship between environmental and economic factors in Dubai’s rapidly expanding real estate market and concerns about city livability. The research is centered on investigating how differences in air quality between various neighborhoods in Dubai affect property pricing. To achieve this goal, the thesis adopted the Hedonic Pricing Method (HPM) typical for this type of analysis. The Hedonic Pricing Method (HPM) provides insights on the price of a product from its components. The study utilized records of housing transactions and air quality measurements …

Digital Beamforming Implemented In Hardware, Nicole Dulieu

Theses

Digital beamforming is a popular method used in modern communication systems. The ability to track and locate a transmitting signal adaptively is necessary in communication systems. Beamforming is one solution to this problem. Beamforming uses an array or matrix of isotropic antenna elements. This eliminates the need to create a physically larger antennas to achieve the same radiation pattern and gain of a phased array of antenna elements. Additionally, the antennas are electronically controlled allowing the radiation pattern and gain to adapt quickly. It is necessary to use a digital platform for beamforming because hardware can digitize analog signals efficiently. …