Engineering Commons^™

Importance Sampling To Learn Vasopressor Dosage To Optimize Patient Mortality In An Interpretable Manner, Anshul Rastogi

Holster Scholar Projects

Sepsis is a life-threatening organ dysfunction resulting from an improperly compensated bodily response to infection. There is a high urgency among clinicians to develop a set of real-time explainable treatment guidelines and tools to address the high mortality rate of sepsis patients. We present a reinforcement learning approach for vasopressor drug dosage in intensive care unit sepsis patients to achieve a better-than-expert treatment policy. We preserved interpretability with a prototype learning layer and learn actions in an off-policy manner with importance sampling. We evaluated our design on the MIMIC-IV deidentified electronic health record dataset with an 80%-20% training-validation split for …

Engineering Ceramic Ductility Into Aluminum Oxide, Krish Bhuva

Holster Scholar Projects

This project explores the enhancement of ductility in Aluminum Oxide (Al₂O₃) ceramics through microstructural engineering. The goal is to combine the hardness and stability of Al₂O₃ with enhanced ductility for diverse industrial applications. Inspired by the naturally occurring Itacolumite rock, known for its complex microstructure, this research aims to replicate similar microstructural features in engineering ceramics. By doping Al₂O₃ with Titanium Dioxide (TiO₂), Boron Nitride (BN), and a pore former, while employing innovative sintering techniques, we hypothesize that these modifications will lead to a measurable increase in ductility. Despite early challenges in achieving homogeneity in sintering, promising results were observed …

Characterization Of Platinum On Carbon Nanoparticles Selectively Coated With Titanium Nitride (Tin), Matthew Maramo

Honors Scholar Theses

Proton exchange membrane fuel cells are a promising low-carbon technology that still face problems including low durability during their normal operation cycles. At the cathode, the carbon supports of the catalysts may corrode. Atomic layer deposition of titanium nitride is performed on prepared catalyst layer samples. The purpose of the deposition is to create a thin film over the carbon supports to reduce carbon support corrosion and improve the lifespan of the fuel cell. Sheet resistances and contact angles are measured for the samples before and after the deposition, although some samples did not receive the deposition and post-deposition characterization …

Database And Machine Learning Model For Classifying Autism Spectrum Disorder From Smartphone Based Electroretinography, Rory Harris

Honors Scholar Theses

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that negatively affects a patient’s cognitive and communication aptitude and, therefore, can severely impact that patient’s quality of life. Because of this, early diagnosis is paramount. In recent studies, electroretinography (ERG), which is a measure of the retina’s electrical response to a brief flash of light into the eye, has shown promise in detecting ASD. Access to these scans can provide early diagnosis, improving well-being. Current ERG devices are very expensive due to their on board processing capabilities. This paper aims to create an ERG device using a smartphone as the main …

Implementation Of Explainable Ai For Bearing Fault Classification, Mohammad Mundiwala

Honors Scholar Theses

It is difficult to overstate the impact of artificial intelligence (AI) over the past decade. The rapid expansion of machine learning has stimulated a race to deploy AI in all facets of life, one such domain being machine health monitoring. There is no doubt that machine learning excels in prediction accuracy, but oftentimes, these models are cryptic and fail to provide valuable insight into their decisions. This paper presents an overview of a neural network and what it means to learn. Next, two distinct Explainable AI (XAI) techniques will be presented: Gradient Class Activation Mapping and SimplEx . Finally, these …

Bim Coordination Post Pandemic, Zachary Marshall

Honors Scholar Theses

The goal of this thesis is to utilize previous research done on virtual meetings and build upon it by conducting new research on the successes and failures of current virtual BIM meetings. This paper starts with a literature review looking into Building Information Modeling (BIM) Coordination and the effects the COVID-19 pandemic has had on the BIM meetings. BIM meetings started to shift virtual due to the nature of the pandemic and this has had effects on the performance and structure of the coordination. This knowledge was then expanded on by looking at virtual BIM meeting case studies. Interviews were …

Integrated Analysis Of Economic Optimization And Life Cycle Assessment For A Fully Modular Wheelchair Accessibility Ramp Utilizing Recyclable Materials, Nicolas Whelan

Honors Scholar Theses

In response to the growing emphasis on sustainability and accessibility in infrastructure development, this research paper delves into the optimization of economic opportunities presented by fully modular wheelchair accessibility ramps. By integrating principles of modularity, recyclability, and circular design, these ramps offer a promising solution to the dual challenges of accessibility and environmental impact. The study employs interdisciplinary methods, merging design, economics, and environmental sustainability, to evaluate the feasibility and potential of these innovative ramp designs. Central to the analysis is the application of a Life Cycle Assessment (LCA) to quantify the environmental impact and carbon footprint associated with modular …

Measuring Soot In A Novel Configuration For Diffusion Flames Fueled By Ethylene Doped With Iso-Dodecane, Christian Bjork

Honors Scholar Theses

Sustainable Aviation Fuels (SAFs) are seen as the path forward for decarbonizing hard-to-electrify sectors. Using SAFs over traditional fossil fuels abates carbon dioxide emissions but still may present soot emission problems. A milestone in the abatement of soot would be understating its formation mechanisms.

This study aims to quantify soot products resulting from an ethylene flame doped with iso-dodecane, a surrogate SAF component. The burner selected for the investigation is the novel Planar Mixing Layer Flame (PMLF) which allows the tracking of soot formation with the height above the burner (HAB) in a stable diffusion flame. A baseline ethylene-fueled flame …

Winter Precipitation Analysis: Comparing Integrated Multi-Satellite Retrievals For Global Precipitation Measurement (Imerg) From Satellites With Ground Instrumentation Observation, Zoe Alber

Honors Scholar Theses

The main goal of the following thesis is to evaluate the accuracy and reliability of satellite-based precipitation measurements during a winter storm event by comparing them with ground-based observations. This study is divided into several key sections, each addressing a specific aspect of the analysis. The introduction provides background information and establishes the scope of the study, highlighting the importance of accurately measuring winter precipitation for forecasting and climate studies. The subsequent literature review explores the historical context, modern uses, and future trends in winter storm detection and precipitation modeling. Then, this study explores conceptual framework utilized throughout the research …

Monitoring Pm2.5 Pollution In The North End Of Hartford, Ct, Jocelyn Phung, Kristina Wagstrom

Honors Scholar Theses

Particulate matter (PM) or particle pollution is one of the six criteria air pollutants that can cause harm to human health and the environment; yet, there is a lack of data in many areas of the United States. Particulate matter is a mixture of solid particles and liquid droplets suspended in the air (EPA). Exposure to PM2.5 has been linked to respiratory and cardiovascular conditions. People who live in urban areas are more likely to be exposed to particulate matter as many urban areas are known to have poor air quality. Our goal is to determine how particulate matter levels …

Control And Design Of A Passive Solar Lumber Drying Kiln, Peter Chardavoyne

Honors Scholar Theses

The passive solar lumber drying kiln design, developed by EE Senior Design Team 2317 is presented, tested, and discussed. The design incorporates solar power and a custom control system to dry 12’ lumber boards inside a shipping container much faster than air-drying methods, which can take up to a year for thorough drying, though this can be extended due to the unpredictability of weather events and conditions. This work presents the design as in the final report provided by the team, but provides a more detailed explanation and analysis of the microcontroller system, testing methods and outcomes, alternate solutions and …

Light Sheet Microscopy Incubation Design And Control Scheme, Venkatanathan Kidambi

Honors Scholar Theses

The focus of the following paper is the development of a light sheet or selective plane illumination microscopy (LSM / SPIM) platform to support long duration three dimensional imaging of various cells and tissues. This paper describes the complete design and fabrication process behind the prototype, including a definition of light sheet microscopy and its differences from confocal microscopy, as well as existing open source selective plane microscopy literature and designs. The complete engineering design process as applied to the microscope design is described in detail. Specifically, this paper will focus on the development of an incubation chamber for light …

Probabilistic Machine Learning For Battery State Of Health Prognostics, Charli Zaretsky

Honors Scholar Theses

The ability to understand and predict the state of health (SOH) of lithium-ion batteries is an integral component of their widespread commercial use. There are various methods through which SOH can be analyzed and predicted, and this paper discusses these different methods, and the strengths and weaknesses of each. This paper also details an analysis of lithium-ion battery SOH through two data-driven machine learning methods: XGBoost and Gaussian process regression. A comparison is made between each method’s accuracy in predicting next-cycle discharge capacity using electrochemical impedance spectroscopy (EIS) readings and battery charge and discharge rates, from a dataset given in …

Effects Of Tempering Temperature On Gas Turbine Fan Cases, Seth Utter

Honors Scholar Theses

The project aimed to investigate the effects of tempering temperature on metals used for gas turbine engine fan cases as a major relevant concern is containing blades in during blade-out events. There are three ways to accomplish this: using a thicker metal, incorporating different materials into the case, or heat treating the metal. This project focused on the third solution: reviewing the impact toughness and hardness of fractured samples and their equivalent ductile-to-brittle transition shear faces. Given its availability, 1045 steel, as opposed to aerospace grade metals, was used for in-house testing. The data obtained from these experiments were then …

Feasibility Study For A Continuous Mansfield Hollow State Park Multi-Use Path, Owen P. Spangler

Honors Scholar Theses

This report aims to design a pedestrian river crossing that connects the north and south ends of Mansfield Hollow State Park, utilizing both a new paved pathway and bridge construction. This report first uses GIS data to complete a feasibility study on pathway routing and cost. A preliminary route was selected based on grading and cost analysis. The requirements for constructing a multi-use pathway in the State of Connecticut were then explored, attempting to find a best-fit pathway alignment to accomplish that goal. Through a lengthy literature review, it was found that the pathway design would have to deviate from …

Cloudbots: Autonomous Atmospheric Explorers, Akash Binoj

Honors Scholar Theses

The CloudBot is an autonomous weather balloon that operates on the principle of variable buoyancy to ascend and descend in the atmosphere. This project aims to develop a device that will collect atmospheric measurements and communicate them mid-flight. The apparatus consists of a helium-filled balloon, the robotic payload, and an air cell. The fixed-volume helium balloon at the top provides an upwards buoyancy force, while the air cell at the bottom can hold a variable amount of pressure to adjust the weight of the CloudBot. By doing so, it is able to travel in storm conditions and collect valuable atmospheric …

Optimization Of Orbital Trajectories Using Neuroevolution Of Augmenting Topologies, Nathan Wetherell

University Scholar Projects

This project aims to determine the feasibility of using NeuroEvolution of Augmenting Topologies (NEAT), an advanced neural network evolution scheme, to optimize orbital transfer trajectories. More specifically, this project compares a genetically evolved neural network to a standard Hohmann transfer between Earth and Mars. To test these two methods, an N-body simulation environment was created to accurately determine the result of gravitational interactions on a theoretical spacecraft when combined with planned engine burns. Once created, this simulation environment was used to train the neural networks created using the NEAT Python module. A genetic algorithm was used to modify the topology …

Calcium Ferrite As A Semiconductor For Microbially Assisted Photocatalytic Reduction Of Carbon Dioxide, Lauren King

Honors Scholar Theses

The pressing issue of global climate change has been found to be attributed to the increasing concentration of greenhouse gases in the atmosphere, especially carbon dioxide. One mitigation idea to close the carbon loop is to utilize redox reactions and photocatalysis to reduce carbon dioxide to a useable fuel source, like methane or methanol. This thesis will study the possibility of using calcium ferrite as the semiconductor to perform photocatalytic reduction of carbon dioxide with the assistance of a microbial fuel cell, which will help minimize the energy required from sunlight photons. A calcium ferrite thin film was produced through …

Triggering Thermal Runaway In Lithium-Ion Batteries, Chris John

Honors Scholar Theses

The proliferation of lithium-ion batteries enables electric devices such as cell phones to electric vehicles to become a reality. A latent danger, however, exists in these batteries. Mechanical, thermal, or electrical damage can initiate a phenomenon known as thermal runaway (TR). This damage causes internal short circuits within the battery, releasing heat and triggering exothermic decomposition reactions. The battery will catch fire if rapid cooling is not present. While experimental designs exist for evaluating TR, significant safety hazards and impracticality may impede testing efforts. Finite element analysis, therefore, becomes a vital tool in modeling TR and mitigation techniques. However, there …

Study Of Porosity Of Gelatin-Alginate Hydrogels To Model Brain Matter For Studying Traumatic Brain Injuries, Apolline Vincent

Honors Scholar Theses

Traumatic brain injuries (TBIs) affect brain tissue and neuronal signaling, leading to many side effects including death. Research on TBIs is limited by the lack of accurate brain matter models to study the physiological and cellular reaction. Alginate-gelatin hydrogels have been designed and modified to mimic the mechanical properties of the brain to act as an accurate in vitro model. This Honors thesis aims to verify the porous microstructure of gelatin-alginate hydrogels through Scanning Electron Microscopy (SEM) to understand how gelatin and alginate affect the microstructure. I measured the pore sizes of each hydrogel using ImageJ, compared the average pore …

5-Axis Milling For Micro-Machining Of Implantable Flow Sensor, Devin Kot-Thompson

Honors Scholar Theses

5 axis milling is a manufacturing process utilizing CNC technology. It has been widely supported as an effective tool for micro machining throughout multiple industries. In medical manufacturing specifically, there is a large demand for high accuracy at the microscale level as the geometries of medical devices are often highly complex. 5-axis milling offers the means to develop such complex features including curved faces and steep walls. This thesis covers the conversion of a generic 3-axis milling machine into a 5-axis machine. Through testing, the modified device effectively demonstrated its ability to run 5-axis tool paths required for complex designs. …

Performance Improvements In Inner Product Encryption, Serena Riback

Honors Scholar Theses

Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure. However, searching for entries among an encrypted database proves to be a security problem - how should one search encrypted data without leaking any information to a potential attacker? The proximity searchable encryption scheme, as discussed in the work by Cachet et al., uses the notions of inner product encryption developed by Kim et al.. In this paper, we will focus on the efficiency of these schemes. Specifically, how the symmetry of the bilinear …

Assessing The Feasibility Of A Belt Based Continuously Varied Transmission For Bicycles, Ethan Wicko

Holster Scholar Projects

The objective of this project is to establish the feasibility of a new drivetrain that decreases maintenance and decreases rider effort compared to current widely used derailleur-based drivetrains by utilizing a belt based continuously varied transmission. With further development, this technology will make cycling more accessible by reducing the mechanical knowledge required to maintain a functional bike and facilitate bicycle riding by increasing durability and providing infinite gear ratios within that range, potentially increasing the health and quality of life for many.

Impact Of Angiogenic And Osteogenic Factors In The Presence Of Biodegradable Piezoelectric Films, Jayla Millender

University Scholar Projects

One of the most common causes of bone graft rejection is lack of a vascular network connecting the graft to the existing native tissue – allowing for nutrient flow. Under current grafting techniques, the existing blood vessel network in the patient slowly invades the implant in order to supply the injured site with its necessary nutrients. The purpose of this research is to determine if a synthetic bone graft with a stable microvascular network can be developed in vitro. I hypothesize that the use of indirect angiogenic factors such as sonic hedgehog homolog and hypoxia-inducible factor-1 in combination with the …

Impact Of Angiogenic And Osteogenic Factors In The Presence Of Biodegradable Piezoelectric Films, Jayla Millender

Honors Scholar Theses

One of the most common causes of bone graft rejection is lack of a vascular network connecting the graft to the existing native tissue – allowing for nutrient flow. Under current grafting techniques, the existing blood vessel network in the patient slowly invades the implant in order to supply the injured site with its necessary nutrients. The purpose of this research is to determine if a synthetic bone graft with a stable microvascular network can be developed in vitro. I hypothesize that the use of indirect angiogenic factors such as sonic hedgehog homolog and hypoxia-inducible factor-1 in combination with the …

A Deep Learning Model For Predicting Covid-19 Transmission In Connecticut, Nathan Choi

Honors Scholar Theses

COVID-19 has immensely impacted life as we know it, as the virus quickly spread throughout the entire world in a matter of weeks since its emergence. It has toppled economies, tested healthcare systems worldwide, and has un- fortunately taken the lives of many in the process. While extensive research has analyzed the issue on a large scale, focusing on entire countries and states, there has not been as much focus on the meso-scale, mainly compris- ing towns and cities, due to the lack of available COVID-19 data at this scale. However, in the case of countries like the United States …

Potential Improvements For Underwater Sound Speed Measurement Devices, Matthieu Bernier

Honors Scholar Theses

Modern sonar systems rely on fast and accurate measurements of the speed of sound in water. Plenty of measurement devices currently exist which are used to gather sound speed measurements in water. They specifically require accurate temperature measurements, as temperature is the most influential factor which affects sound wave speed. Previous research on sound speed properties, a few different examples of sound speed measurement devices, and examples of different types of temperature measurement devices was used along with new research on salinity equations and properties of sound, ocean water, and various existing measurement devices to suggest possible improvements for sound …

Meta-Network Analysis Of Complex Construction Systems: Improving Project Efficiency Using Novel Computer-Based Analytic Methodology, Ethan Cummiskey

Honors Scholar Theses

The objective of this study is to build upon the framework of a meta-network approach to assessing vulnerabilities in construction projects. By viewing these complex environments as configurations of various nodes and links, it is possible to show the relationship between each entity in the project and the overall completion that is achieved from these connections. To expand upon previous studies, the vulnerabilities measured from this approach will be used to optimize the current network to eliminate any shortcoming in the project model. By investigating the congruence of different agents on the project, resources and informational nodes can be supplied …

Modeling And Monitoring Of Water Quantity And Quality In Permeable Pavement Systems Using Geophysical Equipment, Abby Klimowicz

Honors Scholar Theses

Permeable pavements are a type of low impact development (LID) that reduces runoff by increasing the permeability of developed surfaces. Less runoff helps protect the surrounding ecosystems from erosion and pollution. Without pools of accumulating runoff, the potential for the development of ice on roads and parking lots is also decreased. However, sufficient research on the movement of water and the ions dissolved in it through the permeable pavement system has not been completed. In this study, geophysical equipment was used to observe how moisture, measured as volumetric water content (VWC), and ions, approximated by electrical conductivity, pass through constructed …

Impact Of Covid-19 On City Streets, Mihir Sharma

Honors Scholar Theses

Covid-19 has had a severe impact on the urban fabric of many cities and caused disruption to the current way of living. This paper attempts to shed light on the impact that Covid-19 has had on the city streets and how city streets have adapted to the disruptions brought on by the virus. Furthermore the paper lays down recommendations that cities can use to make their streets healthier and safer