Digital Commons Network^™

Robust Inner Knuckle Print Recognition System Using Densenet201 And Inceptionv3 Models, Haitham Salman Chyad, Tarek Abbes

Iraqi Journal for Computer Science and Mathematics

Texture features and stability have generated significant interest in biometric recognition. The inner knuckle print is distinctive and difficult to fake, making it extensively used in individual identification, criminal investigation, and various other domains. In recent years, the rapid progress of deep learning technology has created new prospects for internal knuckle recognition. This paper proposes a robust inner-knuckle-print recognition system (RIKP-RS) depending on two deep learning (DL) models. This paper focuses on the key components of the inner surface of the hand namely the little finger, ring finger, middle finger, index finger, and thumb finger that are used for human …

Improving Heart Attack Prediction Accuracy Performance Using Machine Learning And Deep Learning Algorithms, Mosleh Hmoud Al-Adhaileh, Mohammed Ibrahim Ahmed Al-Mashhadani, Eidah M Alzahrani, Theyazn H.H. Aldhyani

Iraqi Journal for Computer Science and Mathematics

Accurate classification of cardiovascular diseases (CVDs) is of utmost importance for cardiologists to provide appropriate treatments. Diagnosing and predicting cardiovascular conditions are crucial medical responsibilities in this context. The healthcare sector is increasingly utilizing deep learning (DL) and machine learning (ML) algorithms due to their ability to identify patterns in data. Diagnosticians may reduce the number of misdiagnoses by using DL and ML techniques for the categorization of cardiovascular disease incidence. To reduce the mortality linked to CVDs, this research offers a unique model that properly predicts and classifies these problems. This research presents approaches such as deep learning, random …

Securing Biometric Data, Alyssa F. Carroll

Cybersecurity Undergraduate Research Showcase

Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.

Establishing Mixed-Biofilm Systems: To Transform Waste Into Value-Added Products, Jessica Silva Cuero

Student Research Symposium

The bioeconomy, which leverages biological agents such as microbes to convert waste (e.g., agricultural waste, wastewater, etc.) into valuable resources (Fig 1.), offers a sustainable solution to global waste challenges while generating new economic opportunities.

Effect Of Shear Stresses On Microalgae Biofilm Productivity, Tansley Mazurkiewicz, Jacob Watkins

Student Research Symposium

Algae harvested from the Central Valley Water Reclamation Facility was cultivated in nine 27-gallon Rotating Algae Biofilm Reactors (RABRs) to study the effect of shear forces on biofilm productivity. These bench- scale RABRs, with panel entry angles ranging from 0° to 90°, were designed using computational fluid dynamics. Each acrylic panel had dimensions of 0.220x2.5x12 inches with v-shaped grooves (each with an angle of 90°) running the length of each panel. Three depths of v- grooves were tested in triplicate, these depths being 0.055 in, 0.11 in, and 0.165 in. The RABRs were run with a peripheral velocity of 0.1225 …

The Effects Of Geometric Shape And Power-Law Index On The Thermal Activity And Dynamic Behavior Of A Complex Fluid, Houssem Laidoudi

Emirates Journal for Engineering Research

The paper presents numerical results for non-Newtonian fluid confined horizontally between two rings. The outer ring has a circular shape, low temperature and rotates at a constant and uniform speed, while the inner ring has different shapes (circular, square and triangular), is constant and has a high temperature. This study aims to determine the method and the amount of heat transfer between the rings and under the influence of these factors: the rheological coefficient of the fluid, known as the power-law index, thermal buoyancy intensity, the rotation speed of the outer ring and the geometric shape of the inner ring. …

Effects Of Wetting Events On Mass Timber Surface Microbial Communities And Voc Emissions: Implications For Building Operation And Occupant Well-Being, Gwynne Á. Mhuireach, Susan Collins, Leslie Dietz, Patrick Finn Horve, Aurélie Laguerre, Dale Northcutt, Jason Stenson, Kevin Van Den Wymelenberg, Elliott Gall, Mark Fretz

Mechanical and Materials Engineering Faculty Publications and Presentations

IntroductionHumans have used wood as a construction material throughout history. Currently, mass timber products, such as cross-laminated timber (CLT), are becoming more popular as a structural material, since they are renewable and have a lower carbon footprint than concrete or steel. Nonetheless, some building types, such as healthcare, veterinary, and food manufacturing, avoid using structural mass timber due to concerns about microbial growth in the event of wetting. One solution is to use protective coatings on mass timber products to increase moisture resistance, although the coatings themselves may generate concerns about volatile organic compound (VOC) emissions. Natural uncoated wood also …

Induction Of Diabetic Cardiomyopathy In A Three-Dimensional Myocardial Model, Maelyn Andreasen

Student Research Symposium

Diabetic cardiomyopathy: Impairs and damages heart tissue through chronic exposure to hyperglycemia, or high blood sugar, in diabetic individuals

Preparing A Bioreactor For Avian Cell Culture, Joshua Bell, Taylor Davis, Payton Larsen, Abbie Smith, Joshua Thompson

Student Research Symposium

This project, in collaboration with Upside Foods and Thermo Fisher, focuses on optimizing a 50L bioreactor for avian cell growth. Thermo Fisher has assembled the bioreactor while Upside Foods has provided design specifications and avian specific growth media.

Utilizing Enzymatic Microalgae Hydrolysates For Cellular Agriculture, Maelyn Andreasen, Sophia Hessami, Eli Sheley, Elise Barton

Student Research Symposium

UPSIDE Foods is working to produce chicken products to address the growing global food insecurity crisis.¹ Industrial scalability is limited due to the requirements of cell culture. Through collaboration with the company, we are working to supplement their existing media to drive costs down and improve cell viability.

Ai's Hidden Influence: The Silent Manipulation On Youth, Moni Dronavalli

Scholars Week

No abstract provided.

Cyber Physical Emulation Of Power Grids: Co-Simulation Of Exata Cps And Hypersim, Mckayla Snow

Electrical and Computer Engineering ETDs

This thesis explores the use of cyber-physical emulation of power grids to analyze the impact of different types of cyberattacks. It outlines the co-simulation process of HYPERSIM and EXata CPS within the OPAL-RT real-time digital simulator, demonstrating various cyberattacks on two power system models. The first model is a simple communication-focused testbed for easy demonstration of co-simulation setup, while the second is a power system model of a secondary network used to assess the cybersecurity of network protector units in low-voltage networks through a hardware-in-the-loop (HIL) testbed. Using this testbed, the cybersecurity of the direct transfer trip (DTT) scheme is …

Metabolite Analysis To Understand Factors Limiting Microbial Fermentation At High Substrate Concentrations, Bishal D. Sharma

Dartmouth College Ph.D Dissertations

Clostridium thermocellum, a thermophilic anaerobic bacterium, holds promise as a biocatalyst for conversion of lignocellulosic biomass into biofuels. This microbe has been subjected to various metabolic engineering strategies, including the deletion of genes encoding secondary fermentation products such as H₂, formate, acetate, and lactate, as well as the expression of heterologous genes to redirect carbon flux toward ethanol production. Despite these efforts, achieving economically viable ethanol titers remains a challenge. We hypothesized that studying how intracellular metabolite concentrations change as fermentation stops could reveal metabolic bottlenecks or regulatory mechanisms limiting ethanol production at high titers. However, metabolomics studies at …

From Adversarial Attacks To Robust Classifiers - A Study In Social Media Spam Detection - Black Box & White Box, Jonathan Jose Penaloza Rumie

Undergraduate Theses

Adversarial attacks pose a significant threat to the reliability of machine learning-based spam detection systems in social media. This undergraduate thesis, "From Adversarial Attacks to Robust Classifiers: A Study in Social Media Spam Detection – Black Box & White Box," systematically examines the impact of both black-box and white-box adversarial attacks on a range of spam classifiers, including Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Bagging, Gradient Boosting, and Support Vector Machines. Leveraging a novel dataset derived from Twitter spam messages and enhanced with adversarial perturbations such as synonym replacement and character-level modifications, this study evaluates classifier performance under …

31 - Shaped Adversarial Patches, Huong Quach

Undergraduate Research Symposium

In recent years, the development and deployment of computer vision models have become widespread, with applications ranging from autonomous vehicles to security systems. Among these, object detection algorithms like YOLO are particularly significant due to their real-time performance and accuracy in identifying and localizing objects within an image. However, the robustness of these models is increasingly challenged by adversarial attacks, which are deliberate manipulations designed to deceive the model's predictions.

In this paper, I present an approach to advancing the deception capabilities of adversarial patches, specifically targeting YOLO-based person detectors. The objective is to design and implement shaped adversarial patches …

Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett

Theses and Dissertations

The signal reconstruction process from discrete samples is inherently band-limited due to the limited amount of spectral content in the discrete set of measurements. In the case of 1D sampling using ideal measurements, the maximum bandwidth of regular and irregular sampling is well known using Nyquist and Gröchenig sampling theorems and lemmas, respectively. However, determining the appropriate reconstruction bandwidth becomes difficult when considering 2D sampling geometries, samples with variable apertures, or signal to noise ratio limitations. Instead of determining the maximum bandwidth a priori, this thesis introduces the use of a bandlimited inverse to simultaneously reconstruct a signal and determine …

Some Graph Parameters For Superhypertree-Width And Neutrosophictree-Width, Takaaki Fujita, Florentin Smarandache

Neutrosophic Systems with Applications

Graph characteristics are often studied through various parameters, with ongoing research dedicated to exploring these aspects. Among these, graph width parameters—such as treewidth—are particularly important due to their practical applications in algorithms and real-world problems. A hypergraph generalizes traditional graph theory by abstracting and extending its concepts [77]. More recently, the concept of a SuperHyperGraph has been introduced as a further generalization of the hypergraph. Neutrosophic logic [133], a mathematical framework, extends classical and fuzzy logic by allowing the simultaneous consideration of truth, indeterminacy, and falsity within an interval. In this paper, we explore Superhypertree-width, Neutrosophic treewidth, and t-Neutrosophic tree-width.

2024, A Landmark Year For Climate Change And Global Carbon Capture, Utilization, And Storage: Annual Progress Review, Shangli Shi, Yun Hang Hu

Michigan Tech Publications

This annual review outlines the progress of carbon capture, utilization, and storage (CCUS) technologies in 2024. As human-induced CO2 emissions continued to rise, the year presented critical challenges. Notably, 2024 was the hottest year on record and the first in which global temperatures exceeded preindustrial levels by more than 1.5°C, driving intensified efforts to advance CCUS. Scientific interest in CCUS grew significantly, with the annual number of related publications increasing by 11.4% compared to 2023, reaching 53,970. The total number of operational commercial CCUS facilities also expanded, rising by 16.3% to a total of 50. In the political area, governments …

Enhancing Smart City Management With Ai: Analyzing Key Criteria And Their Interrelationships Using Dematel Under Neutrosophic Numbers And Mabac For Optimal Development, Asmaa Elsayed, Mai Mohamed

Neutrosophic Systems with Applications

Purpose: This paper explores the transformative role of AI across various domains of smart cities, including urban mobility, energy management, public safety, healthcare, environmental monitoring, economic development, and data management. It aims to develop a novel decision-making framework that integrates AI technologies with a hybrid approach to analyze the interrelationships among smart city components.

Methodology: This paper employs a hybrid decision-making framework that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with single-valued trapezoidal neutrosophic numbers (STrNN). This approach is used to analyze the complex relationships among criteria and sub-criteria in smart city contexts, addressing uncertainty and incomplete information …

Fabrication Of Ultra High-Temperature Compact Heat Exchanger By Extrusion-Based Ceramic Additive Manufacturing, Abid Hasan Rafi, David W. Lipke, Jeremy Lee Watts, Greg Hilmas, Ming-Chuan Leu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Effects Of The Sintering Process On Additively Manufactured Copper Projectiles, Avery Lyons, William Petzoldt, Phillip R. Mulligan

Miners Solving for Tomorrow Research Conference

No abstract provided.

Physical Characterization Of Copper Anode Slimes, Carter Glynn, Michael S. Moats

Miners Solving for Tomorrow Research Conference

No abstract provided.

Microstructural Evolution Of High-Entropy Carbide Ceramics, Elizabeth Pritchett, William Fahrenholtz, Greg Hilmas, Steven Smith

Miners Solving for Tomorrow Research Conference

No abstract provided.

A Non-Linear Optimization Model For Controlling The Real Area Of Contact In Surface Texture Design, Sandra Eksioglu, Min Zou

Industrial Engineering Faculty Publications and Presentations

Motivated by the potential of surface texturing to enhance the tribological performance of micro- and nano-electromechanical systems (MEMS/NEMS), this study proposes a novel non-linear optimization approach for designing textured surfaces. This model minimizes the contact area between interacting surfaces and deformation during sliding under dry conditions by controlling key design parameters, such as the size and shape of the designed surface. We test the performance of the proposed model using the lotus leaf surface with dimensions of 248 x 136 micrometers. Due to the large size of the model, we propose a solution approach which consists of a data aggregation …

Empowering Local Water Resources Managers With Global Hydrological Model Information Through Bias Correction Of Their In-Situ Data Using Saber, Yubin Baaniya

Theses and Dissertations

There is an increase in the frequency and intensity of water related natural disasters driven by climate change and human activities. While satellite data provides extensive coverage of many climatic variables, streamflow monitoring remains inadequate for effectively responding to water-related hazards, particularly in developing regions that lack integrated gauge networks. This study evaluates how incorporating local streamflow gauge data enhances bias correction of the GEOGLOWS Hydrologic Model (RFS) in gauged and ungauged basins using the Stream Analysis for Bias Estimation and Reduction (SABER) method. We analyzed approximately 19,200 gauge stations globally, using machine learning, spatial analysis and Flow Duration Curve …

Privacy At Scale: A Study Of Mobile App Privacy Practices, Katherine Perez

LSU Master's Theses

What is privacy in a world where people are more connected than ever? Due to the Internet and its rapid advancement, the way information is shared and accessed has fundamentally changed. Millions of people interact with social networks, websites, and applications daily—and with each interaction, some data is collected from the user. In many cases, users cannot access a website or application without first accepting the service’s Privacy Policy. However, these policies often obscure the details of how a consumer’s data is handled, burying important information under dense legal language. In response to growing concerns about transparency, some platforms have …

Modeling And Simulation Of Methane And Co2 Hydrates In Porous Media, Chico Sambo

LSU Doctoral Dissertations

This dissertation presents a comprehensive study on modeling and simulation for
methane hydrate production and CO2 sequestration. The research focuses on pore-
scale and reservoir-scale modeling techniques to understand the dynamics of gas
hydrate dissociation, the associated risks of subsidence, and the potential for CO2
storage in deep-sea environments.
This dissertation begins with an investigation into pore-scale modeling. Specif-
ically, a detailed pore network model was developed to simulate the processes of
methane hydrate dissociation and formation. However, the numerical simulations
revealed that assuming an isothermal process for hydrate formation and dissociation
is not physically realistic. Consequently, the results obtained …

Turning Farm Waste Into Energy: Pragmatic Approaches For Cleaner Midwestern American Communities, Rebecca Gaisie

Selected or Submitted Student Research Papers/Projects

Mismanagement of farm waste in the Midwest of the United States has resulted in significant methane emissions, water contamination, and public health concerns. The present manure management rules are still inconsistent, underfunded, and insufficient to motivate individuals to behave in a way that benefits the environment, despite increasing concerns about the environment. This policy study investigates anaerobic digestion as a potential means to convert waste into energy that could support rural and environmental development. Some of the problems with the federal and state legislation examined in this study under an EPI framework are a lack of incentives, inadequate technical support, …

Active Suspension System, Jens Clausen, Felix Derrouaz, Jacky Quan

Mechanical Engineering Senior Theses

This thesis presents the design, development, and prototyping of an active suspension system intended for high-performance racing applications, with a focus on karting. The goal of the project was to create a geometrically active suspension capable of dynamically adjusting key parameters such as camber, caster, toe, and track width in real-time to improve grip, cornering stability, and overall vehicle performance.

The team conducted extensive research into suspension theory, customer needs, and existing industry solutions before developing a mechanical platform based on a Short-Long Arm (SLA) double wishbone configuration. Using linear actuators to introduce five degrees of freedom, the system was …

2025- The Twenty-Ninth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the 29th Annual Symposium of Student Scholars, held on April 16-18, 2025. Includes abstracts from the presentations and posters.