Systems and Integrative Engineering Commons^™

Comparative Analysis Of Takagi-Sugeno And Mamdani Fuzzy Inference Architectures With Anfis-Based Automated Rule Generation For Eeg-Based Cognitive State Monitoring, Amina Radončić, Mehrija Hasičić, Jasmin Kevrić

Communications of the IIMA

Fuzzy inference systems have demonstrated considerable promise for EEG-based cognitive state monitoring in neurodegenerative conditions. However, two design decisions significantly influence system performance and clinical applicability: the choice of inference architecture (Takagi-Sugeno vs Mamdani) and the method of rule and membership function generation (manual expert-driven vs data-driven automated). This paper presents a comparative analysis of both dimensions in the context of an EEG-based Alzheimer’s disease monitoring system operating on the ds004504 OpenNeuro dataset (88 subjects: 36 AD, 23 FTD, 29 HC). A Takagi-Sugeno system, implemented as a hybrid FSM-Fuzzy architecture, is compared against a Mamdani equivalent across four axes: inference …

Designing And Evolving The Life Support System For Spacex Starship: Toward Closed-Loop Sustainability For Mars Missions, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

The development of a robust Life Support System (LSS) is essential for enabling long-duration human spaceflight beyond Low Earth Orbit (LEO), particularly for missions to Mars. SpaceX Starship represents a next-generation spacecraft designed to support such missions; however, its Environmental Control and Life Support System (ECLSS) remains under active development. This work evaluates the current status of Starship’s LSS by analyzing publicly available data, NASA Human Landing System requirements, and heritage systems such as the International Space Station (ISS) ECLSS and Crew Dragon.

Pet Mobility Project, John Shelby, Lily-Rose Jolie Bacon, Andrea Yasmine Reyes

Biomedical Engineering

The Pet Mobility Project, sponsored by Terri Smith and Jasper Jackson, is an initiative aimed at providing a custom mobility aid to a pet in the San Luis Obispo community. Amber Rappozo’s young German Shepherd, LeDoux, was selected as the project’s recipient. LeDoux suffers from hindleg weakness and, as a result, has limited mobility. This document provides a comprehensive overview of the Pet Mobility Project, detailing the motivation, background, and design approach behind the development of a LeDoux’s custom mobility aid.

Cardiac Twitch Force Measurement System, Tara Hoffman, Sebastian Carrascal Gómez, Julian Macdonald

Biomedical Engineering

The goal of this project is to develop a low-cost and accurate force measurement system and method of measurement to be used in the testing of grown cardiac tissue samples. The primary stakeholder in this project is Dr. Luke Perreault, a biomedical engineering professor at California Polytechnic State University San Luis Obispo who is studying grown cardiac tissue rings, and any of his student lab personnel. Other stakeholders include other researchers in the tissue engineering field who require a similar form of testing to the methods developed in this project.

This document will introduce the identified problem and background as …

Characteristic Stress And Strain Optimization Of Cardiovascular Catheters With Laser-Cut Hypotubes Using Finite Element Analysis, Kyle E. Hirth

Master's Theses

Cardiovascular catheter systems rely on laser-cut hypotubes to balance flexibility and structural integrity required for minimally invasive surgical procedures.  Optimizing these mechanical characteristics remains a significant challenge.  This study aims to investigate the influence of key laser-cut geometric parameters on the mechanical performance of hypotubes through finite element analysis.

Commercially representative laser-cut hypotubes were modeled and a finite element model was developed.   Geometric design parameters were varied across a design space consisting of pitch values ranging from 0.006 in. to 0.018 in. and cuts per revolution (CPR) ranging from 2.5 – 4.5.  For each pitch and CPR combination, loading stiffness …

High-Throughput Robotic Ethanol Inhibition Assays For Engineered Thermophilic Biofuel Strains, Kevin He, Daniel Olson, Marybeth Maloney, Anthony Lanahan

Wetterhahn Science Symposium Posters

Ethanol stress assays are commonly used to evaluate microbial tolerance, metabolic adaptation, and fermentation performance. However, manual liquid handling introduces variability across replicate wells and small-volume pipetting steps, limiting reproducibility and throughput. This study developed an automated OT-2 robotic workflow to generate replicated ethanol concentration gradients for high-throughput inhibition assays in engineered thermophilic biofuel strains. Kinetic plate-reader measurements were used to quantify ethanol-dependent growth responses under anaerobic fermentation conditions. The reasearch question is: How do engineered thermophilic biofuel strains differ in ethanol-dependent growth inhibition under anaerobic fermentation conditions, and can automated robotic assays improve the reproducibility of these measurements? Can …

Visualization And Marker-Less Tracking Of User-Defined Pre-Processed Mri Articulator Data Using Deep Learning, Michael De George

Student Theses

This thesis presents a comprehensive framework for the automated tracking and visualization of articulatory movements based on magnetic resonance imaging (MRI) data. A well-known data analysis tool for markerless pose estimation, known as DeepLabCut, is investigated for this purpose. The performance of this tool is enhanced through the design and implementation of a pre-processor. DeepLabCut is a markerless pose estimation toolbox based on deep learning, which overcomes the issue of making manual annotations frame-by-frame. Limitations from manually marking the MRI images are addressed by implementing transfer learning with convolutional neural networks to achieve accurate, user-defined articulator tracking without markers. Current …

Crashheart, Ellie Riekert, Kennady Skidmore, Madison Furino

Williams Honors College, Honors Research Projects

This project aims to develop an XR (extended reality) iPad training system to improve pediatric crash cart preparedness among nurses and clinical staff at Akron Children’s Hospital. In emergencies such as respiratory failure or shock, quick and accurate access to crash cart supplies is vital, yet opportunities for hands-on practice are limited. Current nurse training relies on PowerPoint instruction or costly physical simulations, reducing engagement and skill retention. Our interactive XR solution replicates the crash cart’s layout and contents, allowing users to practice identifying and retrieving critical items in a realistic environment without using physical supplies. The system will be …