Digital Commons Network^™

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 …

I Am Not A White Man In A Labcoat: The Normalization Of Identity In Academic Writing, Raina Freeman

Student Work

One deep-seated belief in writing, especially writing instruction, is that there is no place for identity and personal pronouns in pieces that are professional and academic. Students are taught this principle as early as elementary school. However, identity can be used in academic writing as a tool to emphasize credibility on certain topics and can shape writing, whether intentionally or not. Anyone’s writing can benefit from a bit of the author’s perspective, but there is an even deeper need for a diverse range of identities in academia. I intend to discuss how ‘objective’ papers are often read as if written …

Student Library News - April 2023, Rit Libraries

RIT Digital Archives

No abstract provided.

Faculty Library News - April 2023, Rit Libraries

RIT Digital Archives

No abstract provided.

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 …

An Analysis Of Heterogeneous Quantization Schemes For Neural Networks, Anusha Holavanahali

Theses

Quantization of neural network models is becoming a necessary step in deploying artificial intelligence (AI) at the edge. The quantization process reduces the precision of model parameters, thereby lowering memory and computational costs. However, in doing so, this process also limits the model’s representational capacity, which can alter both its performance on nominal inputs (clean accuracy) as well as its robustness to adversarial attacks (adversarial accuracy). Few researchers have explored these two metrics simultaneously in the context of quantized neural networks, leaving several open questions about the security and trustworthiness of AI algorithms implemented on edge devices. This research explores …

A Survey Of Qubit Routing Algorithms, Harrison Barnes

Theses

Before applications actually run on quantum hardware, the design of the quantum application and its pre-processing take place in the classical environment. Transforming a quantum circuit into a form that is able to run on quantum hardware, known as transpilation, is a crucial process in performing quantum experiments. Routing is a particularly important and computationally expensive part of the transpilation process. The routing process can alter a circuit’s accuracy, execution time, quantum gate count, and depth. Several routing algorithms exist that aim to optimize some portion of the routing process. There are many variables to consider when choosing an optimal …

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 …

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 …

Unsupervised Progressive And Continual Learning Of Disentangled Representations, Zhiyuan Li

Theses

Unsupervised representation learning is an important task in machine learning that identifies and models underlying explanatory factors hidden in the observed data. In recent years, unsupervised representation learning has been attracting increasing attention for its abilities to improve interpretability, extract useful features without expert annotations, and enhance downstream tasks, which has been successful in many machine learning topics, such as Computer Vision, Natural Language Processing, and Anomaly Detection. Unsupervised representation learning has many desirable abilities, including disentangling generative factors, generalization between different domains, and incremental knowledge accumulation. However, existing works had faced two critical challenges. First, the unsupervised representation learning …

System Integration Of Cstars: Cryogenic Star Tracking Attitude Regulation System, Matthew Klein

Theses

The Cryogenic Star Tracking Attitude Regulation System (CSTARS) utilizes a Scientific CMOS (sCMOS) CIS2521F image sensor operating at cryogenic temperatures (77K) to track stars. This is used aboard a sounding rocket for attitude control of the CIBER-2 experiment payload. Standard optical sensors used traditionally for astronomical observations, such as CCD’s, have a low responsivity at cryogenic temperatures. In contrast, CMOS sensors do not exhibit this issue. During flight, the CIBER-2 primary imaging sensors and CSTARS are co-boresighted to the same telescope, all of which are cooled down to cryogenic temperatures. The attitude feed- back provided by CSTARS ensures that CIBER-2 …

Ensuring Food Security, Converting Urban Industrial Buildings For Indoor Agriculture: The Call For Urban Indoor Agriculture, Christopher Quinn Whittaker

Theses

Outdated food production models result in the continued disconnect between communities and vital nutrition. Poverty and a lack of food awareness perpetuate the effects of food insecurity within communities. These effects are most evident in urban areas where fresh produce is out of reach for large swaths of the population. Connecting communities back to the food they eat will benefit cities and residents economically, socially, and environmentally. Farming with the community in the community will empower a broad urban population. Urban areas pose several challenges to food production, such as a lack of open space and a high volume of …

An Investigation Of How Interior Design Elements Can Enhance Customer’S Interest In Fast Fashion Retail Stores In-Person Experience After The Covid-19, Qianyue Tu

Theses

The goal of this capstone project is to investigate how interior design elements can enhance customers’ interest in fast fashion retail stores’ in-person experience after the COVID-19 pandemic. To answer the research question, this capstone is organized into three parts which are the literature review, research agenda, and creative agenda. First, the literature review section of this manuscript examines consumer behavior and changes in fast fashion brands before and after the pandemic. The goal of the literature review is to understand four questions: 1) What are changes in consumer behavior after COVID-19? 2) Why are fast fashion brands retailing being …

Investigating Equitable Office Design: Addressing Women’S Wellness In The Corporate Office Through Human-Centered Design To Improve The Quality Of Life For All Employees, Jacqueline Collins

Theses

The goal of this undergraduate capstone project is to investigate how open offices impact women in the workplace and to propose a prototypical alternative to an open office. Both a literature review and a research agenda were conducted, in order to gather information regarding this topic. The literature review outlined current research on the topic. It was found that, while open offices were originally designed to allow for equal workspace and greater collaboration, budget costs and private offices remaining in high demand diminished many of their positive qualities. Consequently, open offices began to rely on a hierarchical layout, which often …

Look At The Bigger Picture: Analyzing Eye Tracking Data With Multi-Dimensional Visualization, Anjali Jogeshwar

Theses

Eye tracking has proven to be a valuable tool for a number of disciplines such as imaging science, vision science, psychology, and neurology. They have used eye-tracking to study the human visual system and to understand how humans attend to their environment for different tasks. Analyzing the gaze data obtained from eye-trackers begins with visualizing the gaze point. By monitoring gaze we can answer questions including, ‘where was the person looking?’ and ‘what image region or object was the person looking at?’ Traditional methods aimed at answering such questions from gaze data: required frame-by-frame analysis of videos, manually annotating gaze. …

Enhanced Internal Coating Structure And Light Reflectance Of Coated Papers: A Sludge Valorization Process, Bilge N. Altay, Anamika Huq, Burak Aksoy, Richard Hailstone, Muslum Demir, Cem Aydemir, Arif Karademir, Scott Williams

Articles

Paper mill sludge (PMS) is a high-volume waste of the pulppapermaking industry, containing cellulose fibers. This paper introduces cellulose nanofibers extracted from PMS (CNFsPMS) and their application in paper coatings using a wire-wound coating method to enhance internal and optical properties of paper. Three factors were investigated: (i) CNFsPMS amount, (ii) number of layers, and (iii) surface treatment via a 4 × 2 × 2 factorial design. The experimental responses were tracked by fundamentally important internal properties including porosity, air permeability, thickness, roughness, and optical properties of brightness, gloss, and CIE L*a*b* color coordination. The results showed that CNFPMS enhances …

The Geometry And Topology Of Landslides, Kamal Rana

Theses

Landslides are often catastrophic, causing loss of life and destruction of property and infrastructure. Landslide susceptibility and hazard modeling help mitigate these losses by finding regions prone to landslides and providing probabilistic forecasting of landslide occurrence in a region. However, these landslide susceptibility and hazard models' efficacy depends on the quality of existing databases that often lack crucial information, like the underlying trigger and failure mechanism of a landslide. In this Ph.D. project, we developed methods to identify landslide triggering and failure mechanism information using their geometric and topological properties. For identifying landslide trigger information, we developed three different methods …

Precise And Analytical Calculation Of Interface Surface Area In Sharp Interfaces And Multiphase Modeling, Simon P. Shipkowski, Isaac Bernabe Perez Raya

Articles

Various kinds of Piecewise Linear Interface Calculations (PLIC) are commonly used in Computational Fluid Dynamics (CFD) for multiphase flows. Here, a new method is proposed to calculate the interface size for CFD simulations. This PLIC method with the modifier, Analytic Size Based [method], (PLIC-ASB), being that the calculation requires a symbolic equation and no approximation or numerical methods. The primary advantage of the PLIC-ASB is maintaining a sharp interface and providing for physics-based (not iterative or empirically derived factors) mass transfer due to the cell-by-cell accuracy. Along with the sharp interface, this method leads to precise interface displacements and suppresses …

The Analysis Of A Passive Cooling Arrangement For Solar Pv Panels, Mohamad Abou Assali

Theses

The need for simple and effective solar Photovoltaics (PV) cooling techniques to enhance power generation and elongate the cell lifespan has become of greater interest in recent years. This research designs and optimizes a novel arrangement for solar photovoltaics, allowing for natural convection channel cooling and harvesting of radiation on both sides of the system. A numerical model was developed and validated to solve the conjugate radiation-convection and conduction utilizing the Monte Carlo, the 𝑘−𝜖 turbulence model and the Boussinesq approximation to solve the heat transfer in the system. The optimization was carried out for a 24% efficiency solar PV …

Water Quality Assessment In Smart Cities In India, Asma Adel Rashed Alsuwaidi

Theses

This research aims at assessing the quality of water in India for the case of the 100 smart cities initiative in 2015 (Hoelscher, 2015) and propose which cities are eligible for the smart city design. K-mean and Hierarchical clustering techniques are used to divide 614 water monitoring locations in India into 6 different clusters and WHO water quality parameters are used as reference to suggest eligibility of each monitoring location for becoming a smart city. Results of this study can help planners to speed up the process of assessment and take necessary actions to enhance the water quality. The information …

Probability Distributions Arising In Connection With The Inspection Paradox For The Poisson Process, James E. Marengo, Anne Marino Himes, David L. Farnsworth, W. Cade Reinberger

Articles

The Inspection Paradox refers to the fact that in a Renewal Process, the length of the interarrival period which contains a fixed time is stochastically larger than the length of a typical interarrival period. To provide a more complete understanding of this phenomenon, conditioning arguments are used to obtain the distributions and moments of the lengths of the interarrival periods other than the one containing this fixed time for the case of the time-homogeneous Poisson Process. Distributions of the waiting times for events that occur both before and after this fixed time are derived. This provides a fairly complete probabilistic …

Modeling And Fitting Two-Way Tables Containing Outliers, David L. Farnsworth

Articles

A model is proposed for two-way tables of measurement data containing outliers. The two independent variables are categorical and error free. Neither missing values nor replication are present. The model consists of the sum of a customary additive part that can be fit using least squares and a part that is composed of outliers. Recommendations are made for methods for identifying cells containing outliers and for fitting the model. A graph of the observations is used to determine the outliers’ locations. For all cells containing an outlier, replacement values are determined simultaneously using a classical missing-data tool. The result is …

Predicting Food Safety Compliance For Food-Serving Establishments Inspections, Huda Amin Al Zarooni

Theses

There is an enormous increase in the number of food-serving establishments with the growing urbanization, which increases the challenges for government organizations in supervising their compliance with the food safety code. Food-borne illnesses could result in severe health and economic impacts and require efficient surveillance to ensure public safety and eliminate the negative impacts. This challenge can be addressed by applying data analytics in supporting the government supervision role.

The inspections conducted by the Government generate a huge amount of data that can be leveraged by data analytics and improve the efficiency of the operations and optimize the service provided …

Using Decision-Tree Analysis For Predicting Wildfires Impact On Vegetation In Australia, Saif Al-Khuraisat

Theses

This research aims to use machine learning algorithm to predict wildfires impact on green landscape based on weather conditions while exploring factors that could influence the possibility. By utilizing the generated results, it could help decision-makers and authorities to come-up with best possible strategy to prepare for and respond to wildfires. Being prepare will work toward the economy best interest by saving unintended expenditure in time of crises also saves the cash liquidity along the economy on the long-term. For example, back in East cost of United States of America in Florida, in 1998, the estimated economical losses because of …

Road Traffic Management Using Vehicle-To- Everything (V2x) Communication, Azzeddine Ben Khadra

Theses

Traffic congestion is the primary concern in dense cities; while the increased number of automobiles is becoming uncontrollable in some cities, it is more challenging to manage or change how people use cars. To contribute to solving traffic congestion in cities, this project examines the study of transferring vehicles to be competent in a way that can help the government entities analyze the received vehicles’ data and for better decisions on reducing traffic congestion as well as the real-time monitoring of traffic wherever it is located using the Vehicle-to-Everything (V2X) communication methodology. This study proposes a hardware “system” that can …

Empirical Investigations And Dataset Collection For American Sign Language-Aware Personal Assistants, Abraham Trout Glasser

Theses

Proliferation of voice-controlled personal-assistant devices poses accessibility barriers for Deaf and Hard of Hearing (DHH) users. It is estimated that 128 million people use a voice assistant in the United States, and 4.2 billion digital voice assistants being used around the world, e.g. through over 60,000 different smart home devices that support Amazon's Alexa, which is one instance of virtual assistants [97,134]. The ongoing (at the time of this dissertation) coronavirus pandemic has accelerated the uptake of home-based, voice-controlled devices. As artificial intelligence researchers and developers are working on American Sign Language (ASL) recognition technologies, Human-Computer Interaction (HCI) research is …

Smart Hvac System For A Residential House In Kerala, India And Study Of Green Building Regulations In Thrissur, Kerala, India And Dubai, Uae, Sariga Sunilkumar

Theses

The objective is to analyze the green building regulations in Dubai, UAE and Thrissur, Kerala. By comparing these regulations. An understanding of the factors that impact the residents of the building built using these green building regulations and what can be learned from each regulation, and if there is a common factor connecting these two cities with different climates. The rising temperatures in fact have reduced similarities between the two, as Thrissur is a tropical wet climate and Dubai is hot however the temperatures and humidity levels during the summer are similar. The comparative analysis will allow for the determination …

House Price Prediction Using Machine Learning Model, Abdulla Alfalasi

Theses

Data Analytics and Machine Learning play an important role in extracting insights and patterns from datasets. The primary objective of using the above techniques for real world problems is to understand the intricacies of the problem, which is impossible with the help of manual human effort. The below chart shows the price trend (per sq. ft) over the past 10 years in Dubai, with a steady rise during the years from 2014. The 2020 pandemic plummeted the global prices due to the lack of demand and travel restrictions, which is clearly depicted in the chart. But at the very end …