Engineering Commons^™

An Iterative Approach To Utility Contribution For Arc Flash Incident Energy Calculations, Zachary Giese

ATU Scholars Symposium

Accurately determining short-circuit fault contribution from utilities is a major challenge in arc flash incident energy analysis. Utilities may withhold or frequently alter data, and the presence of distributed generation complicates worst-case scenario identification. Additionally, commercially available software imposes limitations on scenario modeling and calculations, restricting engineers' ability to refine results. This research introduces an iterative approach that enhances worst-case arc flash identification while addressing software constraints. Initially, the study applied this approach to various facility models using commercial tools, comparing different methodologies. However, the focus has since evolved into developing an open-source arc flash calculator. This tool surpasses existing …

Pep Manned Electric Boat, Llanzita Chea, Sean Cobb, Robin Cung, Justin Fuentes, Khynnedi Murry

ATU Scholars Symposium

A team of five engineers took on the challenge of designing, building, and testing a single-person electric boat for the Promoting Electric Propulsion (PEP) competition. From the start, our team focused on maximizing efficiency and performance by carefully selecting and refining each part of the system—everything from the hull and shaft to the propeller, motor, and battery setup. We repurposed an old hull, repaired it, and outfitted it with a new custom-designed shaft and a well-matched propeller to improve handling and propulsion. Power came from a custom-built LiFePO₄ battery pack, paired with a reliable battery management system to keep everything …

Scalable Distributed Ai: Low-Cost, High-Performance Computing With Jetson Nano And Dask, Kesava Manikanta Chirumamilla

ATU Scholars Symposium

No abstract provided.

Deep Learning-Based Multi-Class Classification Of Breast Cancer Ultrasound Images Using Convolutional Neural Networks, Andres E. Dewendt Urdaneta

ATU Scholars Symposium

The National Cancer Institute forecasts 2,001,140 cancer diagnoses in 2024, with approximately 600,000 expected deaths. Breast cancer is projected to be the most prevalent, with about 310,000 cases. Early diagnosis is critical to improving outcomes, and various diagnostic technologies, including imaging, biopsies, and blood tests, play a vital role. Image testing methods include X-rays, ultrasounds, magnetic resonance imaging (MRI), and PET scans. Artificial intelligence (AI) has recently significantly improved cancer detection, improving speed, accuracy, and effectiveness. This research project uses a convolution neural network (CNN) to analyze ultrasound breast images, classifying them as benign, malignant, or normal. Our CNN model …

Can Computational Fluid Dynamics Be The Basis For The Next Generation Of Breach Models?, M. Hassan, K. V. Chua, C. Goff, S. Haeri, M. Morris, R. Coombs

5th International Seminar on Dam Protections Against Overtopping

Dam and embankment failures can have devastating consequences for communities, infrastructure, and the environment. Therefore, accurate modelling of dam and embankment breaches is crucial for effective flood risk assessment and emergency response planning to precisely estimate areas and people that are prone to risk and plan for reducing the damage to properties and the environment. Recently, many advances have been made to improve the accuracy of breach modelling, including the development of physically based one and two dimensional numerical models that takes into account the various processes that take place during the breach of an embankment dam or a flood …

Enhancing Embankment Dam And Levee Resilience Against Overtopping Erosion: The Muscatine Island Levee Project, W. R. Thompson, J. T. Leyh

5th International Seminar on Dam Protections Against Overtopping

HydroTurf® is an advanced revetment solution engineered to protect embankment dams and riverine levees from erosion caused by overtopping events. Its design provides an impermeable geomembrane protected by engineered turf with a high strength cementitious infill, resulting in a fiber reinforced high-strength concrete matrix. The system provides a durable and impermeable barrier against erosive forces.

The Muscatine Island Levee Improvement Project, situated along the Mississippi River in Iowa, exemplifies the application of HydroTurf. This initiative aimed to enhance flood protection for approximately 30,000 acres of commercial, industrial, and residential areas. A critical component was the construction of a hardened controlled …

The Overcome Project: Overall Perspective And Progress, Jean-Robert Courivaud, Mark W. Morris, Maxime Boucher, Laurent Del Gatto, Christophe Picault, Kamal El Kadi Abderrezzak, Rafael Morán Moya, Miguel Angel Toledo

5th International Seminar on Dam Protections Against Overtopping

The OVERCOME project is an applied research project that aims to provide the dam and dike engineering profession with an easy-to-use, physically based numerical tool that represents overtopping erosion and failure of homogeneous embankments made up of coarse-grained, gap-graded soils. This project began in 2018 and is scheduled for completion in 2028, and was initiated by EDF and CNR, who are the two main owners of embankment dams in France. To achieve this objective, the OVERCOME project is based on an extensive program of experimental tests of various dimensions. The interpretation of these tests will be used to define a …

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

Arkansas Tech University Modular Robot Training System, Bryson C. Hicks, Dominic Snow, Harrison Taylor, Spencer Barnett, Leland Bosley

ATU Scholars Symposium

The Arkansas Tech University Modular Robotics Training System (ATUM RTS) project was started two semesters ago by a team of six engineering students at Arkansas Tech. Their goal was to combine the two existing systems of the Georgia Tech Robotarium and the Micromouse maze solving competition. This was done to bring new challenges and excitement to maze-solving robotics while incorporating the cloud-based learning system of the Georgia Tech Robotarium. By creating randomized mazes using tiles and remote walls, ATUM RTS will provide an additional resource to students that will allow them to utilize their knowledge in real world applications. This …

Fatigue Behavior Of 3d-Printed Nylon And Asa For Aerospace Applications, Brayden D. May, Collin Kita

ATU Scholars Symposium

Additive manufacturing, commonly known as 3D printing, has revolutionized the production of lightweight, customized, and cost-effective components across various industries. This study specifically investigates the fatigue behavior of two thermoplastics—Nylon and ASA—fabricated using the Fused Deposition Modeling (FDM) technique. These materials have demonstrated significant potential in aerospace applications, particularly for lightweight structural components in mini drones and satellites, where corrosion resistance and high performance are critical requirements. Specimens were manufactured using the state-of-the-art Bambu Lab X1 Carbon printer, and the influence of key printing parameters—such as infill density, layer height, and test frequency—was systematically analyzed under cyclic loading. Among the …

Semi-Autonomous Trash Bot, Ben Leon, Ethan Mashburn, Connor Olivera, Dillon Michael Wood

ATU Scholars Symposium

Title: Semi-Autonomous Trash Robot

Authors: Benjamin Leon, Ethan Mashburn, Connor Olivera, Dillon Wood

Abstract: Environmental pollution is becoming more worrying every day as megatons of human waste persist in vast amounts in our ecosystems. The existing waste collection methodologies, with the labor, time, and cost components combined, make the process cumbersome. A potential solution could be an automated waste collection robot that incorporates AI into a cheap system that autonomously detects trash. This report proposes a machine that may be manufactured to adequate standards in terms of size and cost and deployed in various environments, with the ultimate goal of …

Empowering Students Through Project-Based Learning In Computer Science: Connecting Real-World Problems To Classroom Innovation, Roza Shaimurat, Faith Bogrek, Bethany Ratermann, Shruti Bhandari, Tolga Ensari

ATU Scholars Symposium

Project-Based Learning (PBL) is a powerful approach in computer science education that moves beyond technical instruction to cultivate problem-solving, adaptability, and resilience. Unlike traditional methods, PBL immerses students in real-world challenges, where failure becomes a steppingstone to success. This paper explores how PBL fosters deep learning through hands-on projects, such as robotics competitions and smart technology solutions, bridging the gap between classroom concepts and real-world innovation. Despite its unpredictability and instructional challenges, PBL ignites student engagement, instills a sense of ownership, and prepares learners for the evolving demands of the tech industry. By embracing PBL, educators not only equip students …

Pros And Cons Of Preservation Treatments, Buzz Powell

Local Transportation Asset Management Conference

No abstract provided.

The Hidden Cost Of Intelligence: Environmental Impacts And The Rise Of Green Ai Solutions, Hayin Tamut

ATU Scholars Symposium

Artificial Intelligence (AI) has rapidly transformed industries and daily life, but beneath its advancements lies a growing environmental concern. This paper explores the often-overlooked ecological footprint of AI technologies, focusing on real-world data and tangible impacts. Notably, training OpenAI’s GPT-3 model alone consumed approximately 1,287 megawatt-hours (MWh) of electricity—equivalent to the annual consumption of over 120 U.S. homes—and emitted 500 metric tons of CO₂, comparable to driving 112 gasoline-powered cars for a year.

Furthermore, the environmental cost extends beyond electricity consumption. Data centers powering AI require vast amounts of water for cooling, contributing to local water shortages—highlighted …

Proceedings Of The 5th International Seminar On Dam Protections Against Overtopping, Protections 2025

5th International Seminar on Dam Protections Against Overtopping

Editors: Sherry Hunt, Bryan Heiner, Tony Wahl, Brian Crookston

Analyzing The Chemical Composition & Morphology Of Hydroxyapatite Coating On Magnesium Biomaterials, Khaoula Kamal

Honors Theses

The purpose of this thesis is to further explore the capabilities of magnesium metal to serve in biodegradable orthopedic implant applications. Current standards for orthopedic implants involve metals that cause many issues such as high risk of infection due to the need for secondary surgery. Despite magnesium’s biocompatibility, it presents a challenge that will be addressed in this thesis: a fast degradation rate. To combat this problem, hydroxyapatite (HA), an integral component of bone, was used to coat the surface of magnesium scaffolds and offer a slower degradation rate. Previous Priddy Lab studies have confirmed the presence of HA coating …

An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Ruairí De Fréin, Yasin Emir Kutlu

Articles

Networked microgrids (NMG) are gaining popularity as an example of smartgrids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware such as Cisco 4331 Integrated Services Routers (ISR). …

Trends In Annual Reported Laser Strikes Per Aircraft Operations In The United States From 2010-2024​, Charles J. Prenaveau, Aidan B. Chen, Brooke Wheeler

Aeronautics Student Publications

Laser strikes targeting aircraft have increased in the United States from 2010 to 2024, even when adjusted for the number of aircraft operations. This trend poses a growing threat to aviation safety.

Drought Effects On Part 121 Operations In California, Brian Robert Barlotta, Steve Na, Vivek Sharma, Brooke E. Wheeler

Aeronautics Student Publications

This study examined whether Part 121 flight disruptions (delays, cancellations, diversions) differed between drought and non-drought periods at the five busiest airports in California from 2004 to 2024. There were no significant differences in disruptions between drought seasons for any of the variables.

Annual Bird Strike Reports Per Airport Operation By Different Runway Configurations In The 11 Contiguous Western States Of The United States, Hyunyoung Jang, Jiin Jang, Constantine Anthony Pagent, Vivek Sharma, Brooke E. Wheeler

Aeronautics Student Publications

This study examined differences in annual bird strike reports per operation by runway configuration: parallel runway and intersecting runway. Results supported that parallel runways experience higher annual bird strike reports per operation compared to intersecting runways, indicating a configuration-based risk pattern.

Drone In Sight: Studying The Rates Of Uas Sightings Near Airports By Month, November 2019 To December 2024, Ethan Akers, James Hart Arnold, Travis Coleman, Vivek Sharma, Brooke Wheeler

Aeronautics Student Publications

A weak, decreasing trend was found in monthly UAS (also

known as Unmanned Aerial Vehicle or Drone) sightings near

airports (FAA, 2025), but it was not statistically significant.

There was a significant difference in UAS sightings by month of

the year between November 2019 and December 2024, with a

more sightings in summer months.

The Effects Of Aviation Environmental Knowledge And Ticket Price Increase On Willingness To Pay, Dylan Dahl, Joonyeong Bae, Angelina Velez, Brooke Wheeler

Aeronautics Student Publications

There was no significant effect of aviation environmental knowledge on willingness to pay (WTP; p = .20); however, there was a significant effect on WTP by ticket price increases (p = .02) between 0 and 15%. This suggests that price is a stronger driver than awareness of environmental impact when paying for sustainable aviation fuel (SAF).

Designing A Control System With Automatic Transition Between Flight Modes For A Vtol Airplane, Asher Cunningham

Honors College Theses

Vertical Take-off and Landing (VTOL) airplanes provide a great degree of flexibility in mission type, as they combine the landing ability of a helicopter with the range of an airplane. This paper describes the design, implementation, and testing of the control system for just such a vehicle. Due to its non-typical motor configuration, there is an unbalanced torque on the frame. Two control methods are suggested and tested to balance this torque, and a PID controller with a high I gain is selected. Furthermore, the distance of the pods from the centerline is calculated and set at 14 inches. A …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …

Machine Learning In Baseball Analytics: Sabermetrics And Beyond, Wenbing Zhao, Vyaghri Seetharamayya Akella, Shunkun Yang, Xiong Luo

Electrical and Computer Engineering Faculty Publications

In this article, we provide a comprehensive review of machine learning-based sports analytics in baseball. This review is primarily guided by the following three research questions: (1) What baseball analytics problems have been studied using machine learning? (2) What data repositories have been used? (3) What and how machine learning techniques have been employed for these studies? The findings of these research questions lead to several research contributions. First, we provide a taxonomy for baseball analytics problems. According to the proposed taxonomy, machine learning has been employed to (1) predict individual game plays; (2) determine player performance; (3) estimate player …

Humanités Numériques, Langue Et Culture Synthèse, Fatima Chnane-Davin

Dirassat

The Digital Humanities: Digitalization and Artistic and Cultural Expression conference, organized from May 2 to 4, 2024 at the FLSH in Agadir, invites you to explore the vast field of digital humanities, from the challenges of digitalization to the opportunities it offers for cultural creativity, while highlighting the importance of preserving a rich heritage in the face of digital transformations.

Netflix : D’Une Digitalisation Cinématographique Vers Une Déconstruction Du 7èMe Art, Karim El Mahjoubi

Dirassat

According to a study conducted by GroupM1, 76% of French people have gone to the cinema less since the 2018 health crisis. The first reason given is "the fear of being contaminated by Covid-19". This is how the streaming platform "Netflix" saw, here, a godsend to seize this market and innovate in cinematographic digitalization. It therefore decided to rent via a monthly subscription, through a Smartphone or Smart TV application, films and series to watch "without moderation" (unlike the old video clubs). The cinema then becomes "Smart or pocket" and accessible, at a low price, for any film buff because …

Le Numérique En Administration Pédagogique Des Écoles : État Des Lieux, Impacts Et Défis. Cas De La Direction Provinciale D’Ouarzazate, Mohamed Boukhch, Abdessamad Boulkhalil

Dirassat

This article attempts to explore the subject of the digitalization of school administration. The digitization of the sector was initiated by the Minister of Education already ten years ago through the implementation of digital systems available to school administrators. We are wondering here about the probable existence of a link between the digitalization of the school administration system and student’s learning. the question we asked is: To what extent does the digitalisation put in place relate to student’s learning ?

to answer this question, we have opted for a practical exploratory approach in order to provide elements of clarification on …

Les Droits D’Auteur À L’Ère De La Révolution Numérique : Enjeux Et Perspectives, Ismail Madani Alaoui, Said Ouhamou, Mohamed Boukhch

Dirassat

This article explores the challenges and issues associated with the development of digital technologies in the context of copyright law. The authors examine significant changes in the creation, distribution, and consumption of digital content, as well as the consequences for copyright holders. Our article focuses on different approaches to copyright protection in the digital environment, such as DRM licenses and Creative Commons. It also evaluates their effectiveness in protecting creators' rights while promoting access to works. The issue of piracy and illegal sharing of digital content is also addressed, as well as the measures taken by the government and industry …

Comment La Digitalisation Affecte-T-Elle Les Interactions Sociales, Culturelles Et Économiques Au Maroc ?, Redouane El Majdouli

Dirassat

This study explores the multidimensional impact of digitalization on social, cultural, and economic interactions in Morocco. By leveraging modernization and social network theories, the analysis reveals how digital technologies transform social dynamics, facilitate innovation, and pose challenges in terms of access inequalities and privacy protection. Using a mixed- method approach combining quantitative surveys and qualitative analyses, the results show a growing adoption of digital technologies and their varied effects on Moroccan society. The proposed recommendations aim to maximize the benefits of digitalization while minimizing its risks, contributing to sustainable and inclusive development.