Operations Research, Systems Engineering and Industrial Engineering Commons^™

Security-Oriented Voice Authentication Using Machine Learning, Ifeoluwa Stella Elegbe

College of Graduate Studies: Theses & Dissertations

This study develops and evaluates a machine learning and deep learning-based voice authentication system for secure identity verification. As traditional authentication methods such as passwords, PINs, and security tokens continue to face challenges, including identity theft, forgetting, and unauthorized access, voice biometrics offers a more secure, convenient, and user-friendly alternative, especially for remote, hands-free, and accessibility-focused applications. The study adopts a closed-set speaker identification framework, where the system determines the most likely speaker from a predefined group of enrolled users. A structured methodology is implemented, beginning with audio preprocessing and feature extraction. Key acoustic features, including Mel-Frequency Cepstral Coefficients (MFCCs), …

Enhancing The Mechanical Properties Of Sla 3d-Printed Bio-Resin From Linseed Oil Using Cellulose And Lignin Biopolymers, Chukwunonso A. Ikedionu

College of Graduate Studies: Theses & Dissertations

Abstract

This research explores the development of bio resin from linseed oil by the process of epoxidation and acrylation to produce acrylated epoxidized linseed oil (AELO). Lignin and cellulose biopolymers were added as reinforcement at varying weight fractions of 1 wt.%, 2.5 wt.%, and 5 wt.%, and their mechanical performance was compared against pure AELO. The formulations were printed using an Elegoo SLA 3D printer to create standardized test specimens like tensile bars, compression cylinders, and hardness blocks, which were all prepared according to the ASTM testing standard.

The results indicate that reinforcement effects depend on both filler type and …

Multiphysics Modeling Of Solid Oxide Fuel Cells For Gradient Minimization And Inductive Loop Analysis In Impedance Spectroscopy Using Machine Learning-Based Microstructural Property Estimation, Muhammad Usman Khan

College of Graduate Studies: Theses & Dissertations

Solid oxide fuel cells have significant advantages in renewable energy utilization due to their high efficiency, fuel flexibility, and low emissions. However, despite the numerous efforts of technology, thermal and current density gradients and impedance behavior fluctuations are still causing performance degradation. A combined computational framework that integrates machine learning and three-dimensional Multiphysics modeling is needed to investigate and optimize the performance of solid oxide fuel cells. A machine learning model, trained on synthetic microstructure data by percolation analysis, is used to predict important microstructural parameters like triple phase boundary density and geometric tortuosity. These are then employed in a …

Ease Of Product Disassembly Through A Systematic Structured Time-Based Design For Disassembly Methodology, Emeka S. Igwe

College of Graduate Studies: Theses & Dissertations

This research introduces a systematic time-based design for disassembly (DfD) framework aimed at optimizing product disassembly by addressing important features like liaisons between components in product, component accessibility and the overall modularity of the product. This study specifically covers electromechanical and mechatronic systems in both household and industrial setup, identifying their disassembly challenges and high value pointers for improvement. The methodology involves using a design for disassembly framework called LeanDfD in carrying out a holistic disassembly process and evaluating quantitative metrics like disassembly time and complexity and suggesting further redesign strategies to minimize disassembly time and cost. Adopting this systematic …

Insider Threat Agent: A Behavioral Based Zero Trust Access Control Using Machine Learning Agent, Michael Fojude

College of Graduate Studies: Theses & Dissertations

Hybrid work, cloud adoption, and freely available AI‑enabled attack tools have exposed critical weaknesses in perimeter‑centric security. Current breach reports attribute more than one‑third of incidents to insider misuse or credential compromise, yet many organizations still depend on static Role‑ or Attribute‑Based Access Control that neither verifies intent continuously nor adapts to subtle behavioral change. This research addresses that gap by designing and validating a behavioral based Zero Trust Access Control (ZTAC) Agent. A five‑year enterprise log Dataset was extracted and cleansed to establish a high‑fidelity baseline of normal user behavior. Feature engineering captured temporal regularity (login sequence, session duration), …

Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman

College of Graduate Studies: Theses & Dissertations

Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …

Software Maintenance: Planning A Server Upgrade - A Library Perspective, Wilhelmina Randtke, Melissa Jackson

University Libraries: Faculty Presentations

Like many libraries, the Georgia Southern University Libraries (GS Libraries) rely on tools to support library services which are run on in-house servers. The servers are run by main campus Information Technology Services (ITS), and ITS is not familiar with how each piece of software is used and how it is supposed to work. ITS monitors the basic high level server architecture but does not work with the actual applications installed on these servers.

Tools like EZProxy and ILLiad are mission critical and are run in-house. Over the past year, the GS Libraries have formalized an upgrade process for the …

Design And Fabrication Of A Force-Displacement Control Mechanism For Bone-Surgical Tool Testing, Kenneth Nwagu

College of Graduate Studies: Theses & Dissertations

This project focuses on the design and fabrication of an experimental setup for orthopedic-tool testing, tailored for a surgical instrumentation company. The multifaceted project encompasses a literature review, conceptual design, prototyping, and rigorous testing, resulting in a versatile control system capable of assessing various orthopedic tools, including bone drills, saws, burrs, and power handpieces.

Orthopedic surgical procedures (which include cutting and/or drilling into bone) often need to be performed on bones for faster recovery. The drilling and cutting process can cause an increase in temperature at the cutting site which can cause bone necrosis. The tools also need to be …

Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran

College of Graduate Studies: Theses & Dissertations

Accessing websites with various devices has brought changes in the field of application development. The choice of cross-platform, reusable frameworks is very crucial in this era. This thesis embarks in the evaluation of front-end, back-end, and database technologies to address the status quo. Study-a explores front-end development, focusing on angular.js and react.js. Using these frameworks, comparative web applications were created and evaluated locally. Important insights were obtained through benchmark tests, lighthouse metrics, and architectural evaluations. React.js proves to be a performance leader in spite of the possible influence of a virtual machine, opening the door for additional research. Study b …

The Development Of A Holistic Quality Score Using In-Situ Monitoring Of Laser Powder Bed Fusion, Ryan Daigneault

College of Graduate Studies: Theses & Dissertations

Additive manufacturing processes allow for a great degree of flexibility in terms of part production. The process is autonomous once the part has started printing in that the operator generally does not need to intervene until the part is finished. One issue that this introduces, however, is an inability to determine part quality during the printing process. Once a part has started printing, the operator must either wait until the part is finished or regularly check on the part during the print to determine the part quality. Using data gathered from multiple sensors, a quality score can be used to …

Quality Assurance Of Lightweight Structures Via Phase-Based Motion Estimation, Ikenna E. Ifekaonwu

College of Graduate Studies: Theses & Dissertations

In recent years, lightweight structures have become mature and adopted in various applications. The importance of quality assurance cannot be overemphasized hence extensive research has been conducted to assess the quality of lightweight structures. This study investigates a novel process that exploits motion magnification to investigate the damage characteristics of lightweight mission-critical parts. The goal is to assure the structural integrity of 3D printed structures and composite structures by determining the inherent defects present in the part by exploiting their vibration characteristics. The minuscule vibration of the structure was recorded with the aid of a high-speed digital camera, and the …

In-Situ Process Monitoring For Metal Additive Manufacturing (Am) Through Acoustic Technique, Md Shahjahan Hossain

College of Graduate Studies: Theses & Dissertations

Additive Manufacturing (AM) is currently a widely used technology in different industries such as aerospace, medical, and consumer products. Previously it was mainly used for prototyping of the products, but now it is equally valuable for commercial product manufacturing. More profound understanding is still needed to track and identify defects during the AM process to ensure higher quality products with less material waste. Nondestructive testing becomes an essential form of testing for AM parts, where AE is one of the most used methods for in situ process monitoring. The Acoustic Emission (AE) approach has gained a reputation in nondestructive testing …

Dataset For Analysis Of Very High Surface Area 3d Printed Media In A Moving Bed Biofilm Sequencing Batch Reactor For Wastewater Treatment, Gabriel Proano-Pena, Andres L. Carrano, David M. Blersch

Faculty Datasets

This dataset includes 15 subfolders named Table6 trough Table20. Each folder is associated with a supplemental table. Each subfolder includes three files: .csv, .pdf/A, and .txt. The Table6 folder contains the raw data derived from experimentation. The remaining folders relate to data processing represented by figures or remarked as significant in the related manuscript: "Analysis of very high surface area 3D printed media in a Moving Bed Biofilm Sequencing Batch Reactor for Wastewater Treatment".

Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger

International Material Handling Research Colloquium

Poster 20

Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami

International Material Handling Research Colloquium

Poster 27

Integrated Intermodal Network Design With Nonlinear Inter-Hub Movement Costs, Mohammad Ghane-Ezabadi, Hector A. Vergara

International Material Handling Research Colloquium

Poster 11

On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu

International Material Handling Research Colloquium

Poster 6

Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon Mcginnis

International Material Handling Research Colloquium

Poster 31

Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen

International Material Handling Research Colloquium

Poster 26

Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher

International Material Handling Research Colloquium

Poster 12

Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis

International Material Handling Research Colloquium

Poster 30

A Performance Calculator For Shuttle-Based Storage And Retrieval System Design, Banu Yetkin Ekren, Anil Akpumar, Tone Lerher

International Material Handling Research Colloquium

Poster 28

A Framework For Modeling Material Handling With Decentralized Control, Kevin Gue, Kai Furmans

International Material Handling Research Colloquium

Poster 23

A Measurement Tool For Circular Economy Practices: A Case Study In Pallet Supply Chains, Maria Grazia Gnoni, Andres L. Carrano, Fabiana Tornese, Jennifer Pazour, Brian K. Thorn

International Material Handling Research Colloquium

Poster 7

An Integrated Network Modeling Framework For Analysis Of Multi-Line Order Pick Systems, Debjit Roy, Vishal Bansal

International Material Handling Research Colloquium

Poster 16

Batching And Sequencing In Bucket Brigade Systems With Heterogeneous Items, Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky

International Material Handling Research Colloquium

Poster 9

Contribution Of Physical Internet Containers To Mitigate The Risk Of Cargo Theft, Yanyan Yang, Eric Ballot, Miguel Gaston Cedillo-Campos

International Material Handling Research Colloquium

Poster 24

Panel Session #2: Ecom Fulfillment And The Physical Internet: Some Motivation And A Persistent Challenge, Benoit Montreuil, Russell D. Meller, Eric Ballot

International Material Handling Research Colloquium

Panel Session 2

Panelists: Benoit Montreuil, Russell Meller, and Eric Ballot

Moderator: Kimberly Ellis

Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller

International Material Handling Research Colloquium

Poster 22

Scalable Heuristic For Locating Distribution Centers On Real Road Networks, Saeed Ghanbartehrani, J. David Porter

International Material Handling Research Colloquium

Poster 13