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Spatiotemporal Alignment Of Event Stream With Images And Active Illumination, Abhijan Wasti
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
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
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 …
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. …
Utilization And Justification Of Generative Ai Technologies For Schematic Architectural Design, Aaric Celeste
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 …
Improving Automatic Refactoring Candidate Identification, Ryan Devoe
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 …
The Babysitter, Diane Catsburrow Linnet
The Babysitter, Diane Catsburrow Linnet
Theses
After producing several short animated films of different moods and visual designs, I designed the thesis film production with the challenge of telling a longer, more complex story with themes of human connection. I curated the narrative as a slice of life, favoring a somewhat nonsensical series of events rather than a clean-cut narrative, but also sought to tap into the whimsical animated humor by incorporating fantastical elements such as a bear baby. These combined to create a film about not understanding everything, but being able to see what is necessary to help someone in need, told in a form …
Emotional First Aid Kit Design, Wenxi Qi
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
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
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 …
Syn: Exploring Multi-Sensory Sound Experiences Through An Immersive Installation, Samara Sudhir
Syn: Exploring Multi-Sensory Sound Experiences Through An Immersive Installation, Samara Sudhir
Theses
The project titled 'SYN.' is a thesis that explores the realm of multi-sensory experiences in visual communication by taking inspiration from synesthesia. Synesthesia is a phenomenon where sensory information is transmitted through multiple unrelated senses, causing individuals to experience more than one sense simultaneously, such as seeing music and hearing color/shapes. The project aims to create an immersive and interactive installation that evokes a feeling of being inside the music by blurring the boundaries between auditory and visual stimuli. Through meticulous mapping and projection of visuals onto various surfaces, a three-dimensional space is created where participants can interact and alter …
Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang
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
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
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 …
Visualizing Poems, Qiran Cui
Visualizing Poems, Qiran Cui
Theses
With its profound expressions of emotion and insights, Chinese poetry has long been revered as a cultural heritage. However, its intricacies often challenge non-Chinese speakers seeking to appreciate its depth. This thesis proposes an exploratory approach to interpreting Chinese poetry, using geometric shapes and motions to discover potential emotional and thematic interpretations. The geometric shapes and their associated motions—circles for continuity, squares for stability, triangles for conflict, and rounded rectangles for historical depth—reflect their psychological and cultural significance in conveying specific emotions within the poems. From Chinese poetry's subjects, structure, content, and emotional resonance, the exploration delves into how visual …
Second-Order Permutation Variable Importance: Quantifying And Attributing Uncertainty In Future Coastal Risk, Dwight Dinkins
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 …
Only That’S Not Enough, Joe Cuccio
Only That’S Not Enough, Joe Cuccio
Theses
My emotions and feelings towards life have always been a bit all over the place. At one moment I feel the world is full of joy and serenity, and in the next moment, I feel it is a string of disorderly events with no rhyme or reason. As my internal feelings turn, I continue to remain engaged with an image-making practice. My camera allows me to venture into the world and follow my heart as it guides my eyes to respond to what is around and inside my head. Making images became an extension of my presence in the most …
Investigations On Process Options Towards Improved Operation And Stability Of Igzo Tfts, Emanuelle Chowdhry
Investigations On Process Options Towards Improved Operation And Stability Of Igzo Tfts, Emanuelle Chowdhry
Theses
Indium Gallium Zinc Oxide (IGZO) is an amorphous oxide semiconductor (AOS) being used in the display industry for backplane TFTs due to its superior mobility in comparison to hydrogenated amorphous silicon, as well as being compatible with the existing flat-panel manufacturing infrastructure. The ongoing research efforts primarily revolve around making the processing more robust so improved performance can be obtained and with greater consistency. The original proposed studies involved investigations on process options that promote enhanced passivation of defect states, and resistance to hydrogen plasma exposure to enable straightforward device integration schemes. However, during the beginning stages of experimentation there …
Goalbert: Goal-Directed Colbert For Iterative Retrieval, Ben Giacalone
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] …
Continual Learning For An Ever Evolving And Intelligent Malware Classification System, Mohammad Saidur Rahman
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 …
If The Last Petals Fall, Soomin Kim
If The Last Petals Fall, Soomin Kim
Theses
During the Spring of 2023, I visited my mother in Los Angeles. I unpacked my belongings and sat down for a light snack with her. Watching her cut fruits, I noticed for the first time that her face had aged significantly. If The Last Petals Fall is a photographic series that delves into the concept of memory. With the handful amount of what’s left of my family archives, I have accepted the fact that I can no longer contribute to my past but rebuild the missing in-between moments. These photos represent my childhood, adulthood, and everything in between. Through this …
Evolutionary Neural Network For Optimized Clock Tree Synthesis, Patrick Jeffery
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
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
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. …
Enola, Justin Gibson
Enola, Justin Gibson
Theses
Enola, is a photographic collection of visual fragments without a beginning or end. These moments reflect on my inner psychological landscape, translated from pieces of stories, dreams, recollections. My project, inspired heavily by the town that I once called home, Enola, Pennsylvania, acts as a cultural origin point for my photographs. This work highlights aspects of the uncanny, the quiet, and the unfamiliar tendencies of life. These formulations usually manifest as dreamlike scenes. My work weaves these disconnected pieces into a cohesive reflection.
Color Change: Illumination And Observers, Che Shen
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 …
Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker
Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker
Theses
The project began with investigating a regional asset of interest: the Genesee River. Initial research into this area revealed that the river suffers from poor water quality. The causes and effects of poor water quality were explored, and it was determined that excess nutrients – namely phosphorus – play a critical role in the water quality of the Genesee River and present downstream risk at the river’s point of outflow in Lake Ontario. An examination of peer-reviewed literature, contemporary examples in the built environment where similar water quality issues were addressed, and existing watershed design frameworks were conducted to understand …
Investigation On The Synthesis And Characterization Of Novel Phase Change Materials For Packaging Application, Sriram Srinivasan
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
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
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 …