Engineering Commons^™

Antibiotic Resistance In Urban Stormwater Runoff And Green Stormwater Infrastructure, Kassidy N. O'Malley

Dissertations (1934 -)

Antibiotic resistance in the environment poses significant risks to human health, especially through the transmission of antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB) via pathways like food and water. Urban stormwater runoff has been identified as a significant contributor to the release and transport of ARGs in the environment but has remained under-researched. This dissertation aimed to address this gap by investigating the fate of ARGs in urban stormwater runoff to guide future stormwater management decisions. Two phases were completed; the first sought to investigate extracellular antibiotic resistance genes (eARGs) in stormwater runoff, and the second focused on quantifying …

Enhanced Carbohydrate-Based Plastic Performance By Incorporating Cerium-Based Metal-Organic Framework For Food Packaging Application, Shima Jafarzadeh, Mitra Golgoli, Maryam Azizi-Lalabadi, Javad Farahbakhsh, Mehrdad Forough, Navid Rabiee, Masoumeh Zargar

Research outputs 2022 to 2026

The development of biodegradable active packaging films with hydrophobic characteristics is vital for extending the shelf life of food and reducing the reliance on petroleum-based plastics. In this study, novel hydrophobic cerium-based metal-organic framework (Ce-MOF) nanoparticles were successfully synthesized. The Ce-MOF nanoparticles were then incorporated into the cassava starch matrix at varying concentrations (0.5 %, 1.5 %, 3 %, and 4 % w/w of total solid) to fabricate cassava-based active packaging films via the solution casting technique. The influence of Ce-MOF on the morphology, thermal attributes, and physicochemical properties of the cassava film was subsequently determined through further analyses. Biomedical …

Adsorbents From Rice Husk And Shrimp Shell For Effective Removal Of Heavy Metals And Reactive Dyes In Water, Md Ibrahim H. Mondal, Shovra C. Chakraborty, Md Saifur Rahman, Shaik M. H. Marjuban, Firoz Ahmed, John L. Zhou, Mohammad B. Ahmed, Masoumeh Zargar

Research outputs 2022 to 2026

Widespread contamination by heavy metals (HMs) and dyes poses a major health risk to people and ecosystems requiring effective treatment. In this work, rice husk (RH) and shrimp shells were extracted to obtain amorphous silica and chitosan, respectively, which were utilized to produce nano-chitosan-coated silica (NCCS). To ensure the stability of the nanoparticles, silica was freeze-dried after being coated with nano-chitosan. Functional groups (–NH2, –OH, P]O) from chitosan nanoparticles (CNPs) were introduced to the surface of silica during this process. Dyes such as brilliant green (BG), methylene blue (MB) and reactive brown (RB) as well as HMs (Cr6+, Pb2+, Cd2+, …

Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali

Brain and Mind Institute

Objective:This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya.

Approach: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya.

Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient …

Testing Of Recycled Polypropylene As A Viable Structural Material (Quarter 2), Isabella Jimenez-Melendrez, Katherine Timbes, Jocelyn Embleton, Tauni Dela Cruz, Zyra Kingston, Emily Byrd, Jacob Stinger

Architectural Engineering

5.25 trillion plastic particles have been found in the oceans each year, 3 million water bottles are consumed each hour, and one million plastic bags are used each minute in the United States of America (Williams). The vast majority of conventional plastics such as polyethylene, polypropylene, polystyrene, and more, are non-biodegradable (Tokiwa). To make matters worse, 70% of this non-biodegradable plastic is discarded into landfills and inevitably makes its way into the environment (Williams,). Plastic products have become vital to the United States economy due to their many uses in the construction, packaging, transportation, and health care industries. However, this …

Personalized Quiz Maker: Novel Feature For Alby Learning Management System, Lys Kang , '24

Senior Theses, Projects, and Awards

This report details the development of a personalized quiz feature for the Alby learning management platform, designed to enhance student learning by generating quizzes tailored to individual performance data. The project involved creating an algorithm to analyze dynamic student data and identify areas for improvement and then using OpenAI's GPT-4 to generate the multiple choice quizzes with elaborative feedback. Developed as a serverless application with AWS tools, the feature operates independently from the main platform. Despite the absence of applicable professional standards and constraints like limited data availability, the project met its functional requirements, demonstrating the potential to improve educational …

Design & Implementation Of A More Precise Competition Timer In Ware Pool, Ben Freeman , '24, Benjamin Wesley , '24

Senior Theses, Projects, and Awards

This project represents the culmination of an effort to redesign the timing system for competitive swim meets to record a swimmer’s precise time to the thousandth of a second, eclipsing the current standard competition precision tenfold. This required a redesign of the traditional swimming pool timing system to account for minute variations in the size of the pool and the length of the pool’s lanes. The scope of this project includes designing a system for obtaining precise measurement of the lengths along Swarthmore’s Ware Pool, the use of statistical analysis to determine the conformation of the pool’s lengths to NCAA …

Simple Transit Braking System, Joshua Forde , '24

Senior Theses, Projects, and Awards

A prototype of an automatic braking system for a locomotive was designed and implemented for the purpose of adding an emergency fail safe for trains nationwide. An ultrasonic sensor detected environmental conditions in front of the train, while a connected relay communicated with a servo powered brake to change brake position. An O scale model train was mounted with an onboard sensor, microcontroller, and servo-powered brake to test the effectiveness of an automatic braking system for locomotives. A rubber-like material was used as the brake pad to slow and ideally stop the train on command. Arduino IDE was used to …

Shorting At Long Duration: Impact Of Extended Discharge Capacity On Battery Solid Electrolytes, Ryan C. Hill, Amanda S. Peretti, Leo J. Small, Erik D. Spoerke, Yang-Tse Cheng

Chemical and Materials Engineering Faculty Publications

Long-duration energy storage (LDES) is critical to a stable, resilient, and decarbonized electric grid. While batteries are emerging as important LDES devices, extended, high-power discharges necessary for cost-competitive LDES present new materials challenges. Focusing on a new generation of low-temperature molten sodium batteries, we explore here unique phenomena related to long-duration discharge through a well-known solid electrolyte, NaSICON. Specifically, molten sodium symmetric cells at 110 ° C were cycled at 0.1 A cm−2 for 1–23 h discharges. Longer discharges led to unstable overpotentials, reduced resistances, and decreased electrolyte strength, caused by massive sodium penetration not observed in shorter duration discharges. …

Material Modeling Of An Ultraviolet Sensitive Resin At High Pressures And Rates, Truman Miller Russell

Master's Theses (2009 -)

A full understanding of the behavior of binder materials under shock loading is required for effective simulation of heterogeneous polymer-binder-explosives (PBX) and polymer-binder-surrogate (PBS) systems. An accurate simulation is critical for the ultimate goal of designing meso-scale heterogeneous PBS systems. The binder materials studied here is an ultraviolet sensitive resin (UV resin). The UV resin is manufactured by AnyCubic. It is a glassy thermoset polymer and is known to be similar to polymethyl methacrylate (PMMA) both in mechanical properties and in chemical makeup. This material was chosen as it can be additively manufactured, and it will present a lower impedance …

A Study Of The Effect Of Preparation Parameters On The Mechanical Properties Of Freeze-Dried Gelatin-Elastin-Hyaluronate Scaffolds, Mansour Qamash

Master's Theses (2009 -)

This thesis is dedicated to a detailed study of changes in the properties of Gelatin-Elastin-Hyaluronate (GEH) tissue engineering scaffold resulting from changes in preparation parameters. More specifically, utilizing a combination of foaming and freeze-drying techniques, this research investigates the effects of different parameters, including agitation speed, duration time, and chilling temperature on the scaffold’s structural integrity, porosity, and mechanical properties. The methodology involves a carefully calibrated process in which the scaffold matrix is initially prepared by incorporating 8% gelatin, 2% elastin, and 0.5% hyaluronate (w/v) into a homogenous aqueous solution, followed by controlled agitation and subsequent freezing at designated temperatures. …

Investigating The Impacts Of Bin Variability On Particle Size Distributions In Multiphase Eulerian-Eulerian Simulations, Wilbert Alexander Cruz

Master's Theses (2009 -)

In this study, a 3D steady-state Eulerian-Eulerian simulation was developed to investigate flow performance in a dilute pneumatic conveying system. The investigation focused on two main objectives: (1) assessing the influence of bin selection on solution accuracy for representing the polydisperse mixture, and (2) exploring methods to simplify the modeling of polydisperse particles in the simulation by utilizing a mean diameter derived from the mixture’s particle size distribution. The system's geometry and initial boundary conditions featured a 10.6 m long, 150 mm diameter horizontal pipe with both gaseous and solid phases initially moving at 27 m/s . The steady-state simulation …

Seismicity Characteristics Of The Gulf Of Aqaba Seismogenic Zone And Their Hazard Implications In Northwestern Saudi Arabia, Ali Abdelfattah, Mohamed Ezzelarab, Hazem Badreldin, Hassan Alzahrani, Saleh Qaysi, Bassam Abuamarah, Neil Lennart Anderson

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The seismogenic characteristics of the Gulf of Aqaba zone have been assessed using the maximum likelihood method to estimate various earthquake recurrence parameters. These parameters encompass the β-value, annual recurrence rate (λ), and maximum probable magnitude (Mmax). This assessment has identified three sub-seismogenic zones, each corresponding to specific structural faults within the Gulf. These zones are associated with the Aragonese, Arnona and Aqaba faults, delineating pull-apart basin structures in the Gulf of Aqaba. An updated earthquake catalogue has been compiled using a unified moment magnitude (Mw) scale to improve the analysis, established by developing two empirical relationships. According to the …

On-Device Intelligence For Ai-Enabled Bio-Inspired Autonomous Underwater Vehicles (Auvs), Aryan Anand, M Yuva Bharath, Prabha Sundaravadivel, J. Preetha Roselyn, R. Annie Uthra

Electrical Engineering Faculty Publications and Presentations

This paper introduces an innovative approach to underwater exploration by integrating Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration between AI and biomimicry marks a new era for AUVs, enabling them to emulate marine creatures’ graceful and efficient movements. By infusing AI capabilities into AUVs, AUVs are empowered to learn and adapt, making autonomous real-time decisions without human intervention. This dynamic integration equips AUVs to effectively navigate complex underwater terrains, evade obstacles, and seamlessly interact with marine life. Inspired by the remarkable propulsion mechanisms found in marine organisms, this work proposes a pioneering propulsion system tailored for AUVs. …

2024 Annual Hackathon: Redesigning Safety Head Protection, Olivia Pisani

Construction Management

The Hackathon is an annual event hosted by construction management students at California Polytechnic State University in San Luis Obispo. The event aims to redesign a piece of safety equipment to make it more user-friendly, safe, and enjoyable, and provide equitable safety for all genders. The subject of the hackathon held in April, 2024, was head protection for construction workers, primarily hard hats and helmets. Head protection is a critical PPE item that impacts every worker on a job site - which is why it was chosen for a redesign. The 2024 hackathon event was centered around inviting industry members …

Cal Poly's Old Powerhouse Analysis Assessing Stakeholder Preferences, Marissa D. Burns

Construction Management

This research paper delves into the historical and cultural relevance of Cal Poly’s Old Powerhouse, the college’s oldest architectural landmark, which has remained in a state of disuse since the 1990s. Employing meticulous survey methodology; perspectives from faculty, staff, alumni, students, and community members are gathered to illustrate the significance of the Old Powerhouse within the various stakeholders. The study refrains from imposing interpretation but rather seeks to capture the sentiments expressed by stakeholders, providing valuable insights into the building’s perceived value. By centering on the community opinions, the research will underscore the building’s potential and expand on the collected …

Skip The Grid: Delivering Solar Energy In The Navajo Nation, Lance Brack

Construction Management

Skip the Grid is an interdisciplinary service-learning project to install solar energy systems on dwellings in the Navajo Nation. This project is a large collaboration between students from 7 different majors at California Polytechnic State University (Cal Poly), SOLV Energy, the educational equity non-profit, Heart of America (HOA), and many industry and community sponsors. Through HOA, Skip the Grid targets homes of school age children that have limited or no access to electricity. On March 24, 2024, a group of 20 Cal Poly students traveled to Farmington, New Mexico to begin collaboration with the Consolidated School District. Over the following …

Small Modular Reactor And Advanced Reactor Feasibility Study Interim Report, Purdue University Administrative Operations, Purdue University School Of Nuclear Engineering, Duke Energy

Administrative Operations Reports

No abstract provided.

Segregation And Heat Treatment Response Of Cast Quench And Partition Steels, Mujeeb Hussain Shaik

Masters Theses

Quench and partition (Q&P) steels have emerged as promising alternatives to traditional quenching and tempering methods, offering a superior balance of strength and ductility due to their unique microstructure of martensite, and retained austenite. This literature review examines the development and optimization of Q&P steels, focusing on their mechanical properties, heat treatment processes, and applications in various industries. This study explores the application and effectiveness of the Quench and Partition (Q&P) heat treatment process on cast steels and examines segregation phenomena in cast medium Mn steels. Medium Mn steels were employed for various Q&P cycles on cast specimens to investigate …

Surgical Navigation In Image-Guided Transoral Robotic Surgery, Yuan Shi

Dartmouth College Ph.D Dissertations

Transoral robotic surgery (TORS) is a minimally invasive approach in treating head and neck cancers and has demonstrated improved surgical outcomes with reduced morbidity when compared to traditional open surgery. However, the lack of haptic feedback makes it more difficult to assess the tumor extent and locate critical structures (e.g., artery and nerves). In standard-of-care TORS, preoperative imaging is used as guidance; however, it becomes inaccurate intraoperatively: the patient’s neck is hyper-extended, surgical instruments are introduced, and soft tissues deform significantly. As a result, the surgeon is required to mentally predict intraoperative deformation, which can lead to bleeding complications and …

Finger Contracture Relief Sensorized Splint, Katia Campos, Alfonso Gonzalez, Olivia Rojas

Posters - 2024

Hand traumas may result from an accident, a burn, or even something far more common like a jammed finger. Due to the pain, the hand is immobilized and this lack of movement, in addition to the healing processes, can lead to a deformity. The specific deformity addressed in this project is a Proximal Interphalangeal Joint Flexion Contracture, which is when the middle knuckles of the fingers are stuck in a flexed position. Contractions can occur after trauma or certain illnesses. It is the shortening of muscles, tendons, skin, and nearby soft tissues that causes the joints to become very stiff. …

2024 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2024.

Optimising The Fashion E-Commerce Journey: A Data-Driven Approach To Customer Retention, Hasna Luthfiana Fadhila, Vynska Amalia Permadi, Sylvert Prian Tahalea

Knowledge Engineering and Data Science

A fashion e-commerce company offers a wide range of products from domestic and international brands that are popular with young people. However, there has been an increase in non-organically acquired customers, many of whom do not return to make repeat purchases. This has led to a higher customer churn rate, with a significant proportion of non-organically sourced customers failing to become repeat purchasers. Consequently, a churn analysis and prediction model were developed to address this issue. This paper employs the Recency, Frequency, and Monetary (RFM) framework for churn analysis and prediction. The framework is underpinned by three key dimensions: last …

Random Forest Algorithm To Measure The Air Pollution Standard Index, Ariyono Setiawan, Untung Lestari Wibowo, Ahmad Mubarok, Khoirunnisa Larasati

Knowledge Engineering and Data Science

This study uses the Random Forest algorithm to measure and predict the Air Pollution Standard Index (APSI) at Blimbing Banyuwangi Airport. Air pollution data, including concentrations of O3, CO, NO2, SO2, PM2.5, and PM10, were collected from air monitoring stations at the airport from April 15-30, 2024. APSI measurement followed established formulas by relevant authorities. Data analysis utilized statistical approaches and computational algorithms. The findings reveal that air quality at the airport is generally "Moderate," with occasional "Good" days. The Random Forest algorithm effectively predicts APSI based on existing pollution data. These results provide insights for improving air pollution management …

A Novel Approach To Defect Detection In Arabica Coffee Beans Using Deep Learning: Investigating Data Augmentation And Model Optimization, Yusriel Ardian, Novta Danyel Irawan, Sutoko Sutoko, I Nyoman Gede Arya Astawa

Knowledge Engineering and Data Science

Arabica coffee beans have valuable market worth because of their taste and quality, and there are defects like wholly and partially black beans that can lower the standards of a product, especially in the premium coffee sector. However, the manual processes used to detect the defects take an inordinate amount of time and are inefficient. This study aims to bridge the knowledge gap on the automated detection and recognition of the defects present in the Arabica coffee beans by creating and optimizing a CNN model based on a modified VGG16 architecture. The model applies data augmentation, rotation, cropping, and Bayesian …

Nonparametric Identification Of A Mems Resonator Actuated By Levitation Forces, Mohammed Abdel Razzaq, Rodrigo T. Rocha, Yu Tian, Shahrzad Towfighian, Sami F. Masri, Mohammad I. Younis

Mechanical Engineering Faculty Scholarship

This work presents nonparametric identification of a Micro-Electro-Mechanical Systems (MEMS) beam subjected to a non-classical nonlinear electrostatic (levitation) force. The approach is based on the Restoring Force Surface method and the Chebyshev polynomials. The study examines the main challenges associated with the used approach as applied to small-scale systems, such as the inability to measure the restoring force and acceleration. In this work, we use a mix of analytical techniques, experimental data, and Lagrange polynomial interpolation to estimate the restoring forces of the system and its nonlinearities. The extracted results are compared with the measurements, which show excellent agreement. Results …

Experimental Investigation Of Various Hydrogen Knock Limit Extension Strategies On A Hydrogen-Gasoline Dual Fuel Spark Ignition Engine, Sanad Thurakkal Puthan

Dissertations

Hydrogen is a clean and carbon free substitute with the ability to significantly cut down the harmful emissions while enhancing the energy efficiency of internal combustion engines (ICE) typically powered by conventional fossil fuels. Hydrogen is the most abundant elements which can be easily obtained from sources like water and biomass. The wide flammability range and high laminar flame velocity outstands hydrogen from other fuels. However, hydrogen fueled engines are more prone to abnormal combustion like knock and backfire due to its low ignition energy and high adiabatic flame temperature. To avoid backfire, several well developed approaches have been reported. …

Valorization Of The Polymeric Constituents In Plastic Wastes Through Thermo-Chemical Processes By Using Viable Metal Oxides Additives, Labeeb Hamad Ali

Dissertations

The rapid accumulation of different types of plastic waste necessitates the development of effective and economically viable waste management operations. Such a process should ideally not only mitigate associated environmental burdens but also recycle and recover value-added products. Through incineration or pyrolysis, thermal processing has emerged as a mainstream approach to waste management of the ever-increasing loads of different categorized plastic wastes. Throughout the work of the thesis, we have utilized a multitude of complementary techniques spanning material characterizations, catalysis, kinetic modelling, and density functional theory (DFT) to comprehend the complex chemistry that underpins catalytic chemical recycling of plastic wastes. …

Formate Dehydrogenase Immobilized On Metal Organic Framework For Enhanced Conversion Of Co2 To Formate, Shadeera Rouf

Dissertations

Enzymatic hydrogenation of carbon dioxide (CO₂) to formate by formate dehydrogenase (FDH) is a promising technology for reducing CO₂ concentrations in an environmentally friendly manner. For practical and economical implementation of the process, however, enhanced reusability of the enzyme is essential, which requires easy separation from the reaction mixture, coupled with sustained stability. One way to achieve this is by using the enzyme in an immobilized form. In this work, the effectiveness of using different metal organic frameworks (MOFs) as promising alternative supports for FDH immobilization has been assessed. A highly stable zirconium-based MOF, UiO66 and its …

Experimental Investigation Of Varying Design Parameters On The Production Rate And Temperature Polarisation Of A Dcmd System, Hiras A. Hijaz, Masoumeh Zargar, Abdellah Shafieian, Amir Razmjou, Mehdi Khiadani

Research outputs 2022 to 2026

Much of the research in the analysis of Temperature polarisation (TP) and the productivity of a membrane distillation (MD) system tends to concentrate on operational conditions. However, substantial enhancements in permeate flux can be realised through the incorporation of fundamental design modifications. This research showed that TP can be successfully mitigated almost to a level of non-existence, by manipulating the module orientation and flow channel height of an in-house designed direct contact membrane distillation (DCMD) system. Notably, at higher flow channel heights, changing the module orientation from the default horizontal position with the feed side on top (FST) to a …