Engineering Commons^™

Detection Of Http Flood Attacks Based On Machine Learning Algorithms, Norbek Karimov, Furkat Rakhmatov, Oybek Xolmuminov

Chemical Technology, Control and Management

This paper analyzes the effectiveness of Random Forest and SVM models for detecting HTTP Flood attacks. Experimental results demonstrate that both models achieve high accuracy. Evaluation was conducted using Precision, Recall, and F1 Score metrics. Additionally, key features of network traffic were extracted through correlation analysis to enable real-time application of the models in attack detection. The findings provide important insights into detecting DDoS attacks using machine learning and improving model performance.

Security In Biometric Access Control Systems Based On Fingerprints, Elmurad Jamuradovich Qilichev, Baxodir Saydullaevich Achilov, Ismoil Ergash OʻGʻLi Isroilov, Mirshod Mirkomil O'G'Li Ahmadov

Chemical Technology, Control and Management

This article analyzes biometric access control systems using fingerprints. The article considers the advantages of using biometric technologies, including solutions aimed at ensuring security, protecting users' personal data, and increasing the efficiency of systems. A detailed explanation of the principles of operation of fingerprint biometric systems, their underlying algorithms, and technological advances is provided. Problems that arise when assessing the level of security, ease of use, and technological and social aspects of biometric access systems and methods for combating them are also covered. At the end of the article, opinions are expressed about the future of fingerprint-based biometric systems and …

Skewed Approach Flow To The Spillway Of An Embankment Dam, C. I. Thornton, J. Ellis, F. Alsultan, C. Volt, R. Ettema

5th International Seminar on Dam Protections Against Overtopping

A contemporary activity in dam engineering is the raising of embankments to increase reservoir storage or flood level in a channel. For embankment dams, the raised position of the spillway must be located on a native soil/rock shoulder of the dam, to avoid geotechnical problems associated with possible embankment settlement. Consequently, for many sites, the approach flow entering a spillway likely will not be acceptably uniform, as the approach flow becomes increasingly skewed to reach the spillway’s entrance with the raised embankment. This concern raises the question of where to position the spillway’s ogee crest within the spillway entrance and …

Design Of A Wave Overtopping Simulator With Variability In Simulated Flows, N. Van Der Vegt, B. Hofland, J. J. Warmink, V. M. Van Bergeijk, S. J. M. H. Hulscher

5th International Seminar on Dam Protections Against Overtopping

A new experimental setup for conducting large- to full-scale wave overtopping experiments will be constructed at Delft University of Technology. This setup consists of an indoor Wave Overtopping Simulator (iWOS), a landward dike slope, and a transition to the toe. The iWOS, with a height of 3.25 meters, can release volumes of up to 2.67 m³/m of water. A key innovation is its controllable release valve, allowing variability in flow characteristics for the same overtopping volume.

The iWOS is designed based on established relationships between overtopping volume and flow characteristics at the landward crest of a dike. Computational Fluid Dynamics …

Power-Beaming: Wireless Energy Transfer Using Lasers, Spencer L. Barnett

ATU Scholars Symposium

The objective of the project is to implement a wireless energy transfer system utilizing laser technology. This system involves modulating the laser’s beam profile and spatial distribution through precise optical manipulation. The energy transmitted by the laser is captured by a photovoltaic array, commonly referred to as a solar panel, which is engineered to convert incident photons into direct current (DC) electrical power. The current challenge is to develop a reliable wireless energy transfer mechanism capable of operating over extended distances, thereby overcoming the constraints imposed by wired connections, particularly in environments where wiring is impractical, such as in space. …

Design Of A Teleoperabletendon-Driven Robotic Hand, Zachary Giese, Joseph Gober, Samuel Grisham, Avery Mahan, Aspen White, Brayden May, Aspen White

ATU Scholars Symposium

This work presents the design, implementation, and validation of a 3D-printed tendon-driven robotic hand with a bi-directional wireless control system. The robotic hand emulates human anatomical principles, focusing on replicating flexion and extension mechanisms of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints via a tendon-pulley system. Iterative prototyping resolved initial challenges in joint stiffness, tendon routing, and servo interference, culminating in a design where a single servo drives both flexion and extension for each joint using a bidirectional tendon control mechanism. A reliable bidirectional wireless communication framework, using Arduino Nano Every microcontrollers and NRF24L01 modules, enables …

Enhancing Understanding Of Breach Processes Using Computational Fluid Dynamics And Laboratory Tests, K. V. Chua, M. Hassan, C. Goff, M. Morris, H. Haddad

5th International Seminar on Dam Protections Against Overtopping

Accurate prediction of dam breach processes is crucial for risk assessment and emergency response planning. Computational Fluid Dynamics (CFD) offers a powerful tool for simulating such complex phenomena. However, the reliability of CFD models hinges on their validation against experimental data. This paper compares numerical simulations by the open-source code, OpenFOAM, to laboratory flume experiments to assess the accuracy of its predictions of dam breach overtopping processes.OpenFOAM is first being used to model the flow characteristics of two key stages of a dam breach experiment that took place in a physical laboratory setup. The two stages are the surface erosion …

Conclusions From The Performance Assessment Of Industry Applicable Internal Erosion Initiated Breach Prediction Models, Mark W. Morris, Jean-Robert Courivaud

5th International Seminar on Dam Protections Against Overtopping

The EDF funded Performance Assessment of Industry Applicable IE Initiated Breach Prediction Models project was initiated with a workshop at HERU in Stillwater in October 2019. In the following 4 years a team of modelers comprising both model developers and industry model users analyzed the performance of 6 different breach modelling codes against a range of different data sets, including hypothetical, field and real dam failure case studies. Each of the data sets reflected a dam or levee failure initiated by internal erosion, and which subsequently developed into an open breach. Modelers were required to simulate breach formation from the …

Dust Analyses In Ventilation Ducts, Karolina Vyhlidalova, Petr Vlček, Olga Rubinová, Jiří Bernard

Journal of Sustainable Construction Materials and Technologies

The paper describes the importance of monitoring the dust in the atmosphere of human life. It deals with the issue of dust in air ducts, approaching the methods that can be used to detect the amount of dust. For conditions for buildings in the Czech Republic there is created the methodology of quantitative and qualitative evaluation of dust sediment for the needs of HVAC and other building surfaces. The scale for visual evaluation was created and it has been elaborated the assessment of kind of particles contained in dust.

Assessment Of Long Time Approximation Equation To Determine Thermal Conductivity Of High Porous Materials With Nss Probe, Hussein Humaish, Bastien Ruet, Laurent Marmoret, Hassen Beji

Journal of Sustainable Construction Materials and Technologies

Recent economic changes have increased the focus on energy conservation in buildings. Improve insulation represents one of the biggest challenge to save energy. The TP02 Huksefux® Non Steady State Probe (NSSP) has been used to determine the thermal conductivity of the building insulation materials. Usually, the long term approximation equation (linear form) is applied to determine the thermal conductivity when using hot wire techniques. Long term approximation has been successfully used to characterize glycerol: a fluid which doesn’t present contact resistance and porosity. But, an S-shaped appears for more porous materials. So to generalize the possibility of using this method, …

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.