versatility and performance in Internet of Things (IoT)applications. The ESP32 offers significant computational power while maintaining an efficientenergy footprint. Its onboard Wi-Fi and Bluetooth modules provide seamless wirelesscommunication, making it an ideal choice for IoT applications. The ESP32’s Wi-Fi capabilitiesare a cornerstone of its functionality, supporting both 2.4 GHz frequency bands and a variety ofstandard protocols, including IEEE 802.11 b/g/n. This allows for high data transfer rates,efficient packet handling, and reliable connections, even in environments with significantinterference. Additionally, the ESP32 is equipped with advanced features such as Wi-Fi Directand mesh networking, enabling scalable deployments in complex IoT
that these technologiescontribute positively to the sustainability goals of electric vehicles.References[1] T. R. Hawkins, B. Singh, G. Majeau‐Bettez, and A. H. Strømman, "Comparative environmental life cycle assessment of conventional and electric vehicles," Journal of industrial ecology, vol. 17, no. 1, pp. 53-64, 2013.[2] S. Verma, G. Dwivedi, and P. Verma, "Life cycle assessment of electric vehicles in comparison to combustion engine vehicles: A review," Materials Today: Proceedings, vol. 49, pp. 217-222, 2022.[3] S. Orlova, A. Rassõlkin, A. Kallaste, T. Vaimann, and A. Belahcen, "Lifecycle analysis of different motors from the standpoint of environmental impact," Latvian Journal of Physics and
application and explaining your reasoning. 5. Reflect on the complexities of material selection, particularly when balancing engineering requirements with environmental considerations and cost.Figure 1 shows examples of student generated Ashby Charts from two different teams. The ploton the left shows cost versus density for six material types as generated by Team A, and the ploton the right shows GWP versus density for specific materials as generated by Team B. Theproject was open ended allowing for variations in how data was presented.Figure 1. Examples of Ashby Charts generated by Team A and Team B. On the left is depictedcost versus density and on the right is depicted GWP versus density.Survey InstrumentA survey was designed as a
aggregated into a data table for computational analysis. Figure 1: Joint types practiced using AR welding [12] For plasma cutting, students were provided with the two product CAD files–see Figure 2 for images of both assemblies. These products were imported to Fusion360 to conduct the following exercise. Proceedings of the 2025 ASEE North Central Section Conference Copyright © 2025, American Society for Engineering Education2025 ASEE North Central Section Conference Figure 2: Images of products from the provided CAD files a) Pokecenter b) Aircraft First the products needed to be disassembled, and individual panels laid flat on a working surface
intense study in order to determine theirutility as optical preamplifiers and linear repeaters in fiber optic communication systems. Anoptical amplifier, having sufficient gain to compensate for attenuations suffered as the signalpropagates through the fiber and splices, has been considered for optical local networks systems6.Since the amplification process is entirely optical, the time delay introduced by the opticalamplifier is minimum. The incorporation of an optical amplifier in an optical sensor is investigatedfrom different point of view. Our aim by such a configuration is to enhance the capabilities of theoptical sensor by overcoming some of its present problems.And on other hand B. Moslehi and J.W stated that analytical results are
Paper ID #49606PolarBear DSP Digital Effects PedalWesley Cole Hanson, Ohio Northern UniversityCody Beagle, Ohio Northern UniversityAaron Altstaetter, Ohio Northern UniversityAmari Shamar Patterson, Ohio Northern University ©American Society for Engineering Education, 2025 Polarized Sound (DSP Digital Effects Pedal)Introduction:This paper will detail a senior project in which the team design a digital effects pedal formusicians. This effects pedal will give a user the ability to experience a variety of guitareffects that they otherwise would have to purchase individually, all in the
sophisticated techniques can involve skilled tampering with meters. Deceiving theutility in some way is also a common electricity theft method. As discussed in [7], electricitytheft is generally of three types: A. Billing Related Theft: o Deliberate non-payment of bills. o Malicious billing irregularities, such as intentional efforts to bribe officials to ignore use o Billing irregularities, unintentional theft such as accounting errors and faulty meters, faulty meter reading methods, incorrect meter readings, technical loss computation errors B. Fraud, whereby customers change their apparent usage via: o Bypassing a meter to prevent it from measuring the power consumed
-Rey and C. Bueno-Muñoz, "Gamification in higher education: The ECOn+ star battles," Computers and Education, vol. 194, 2023.[14] Ž. Kovačević, M. Horvat and A. Stojanović, "Analysis and overview of novel gamification frameworks in practice.," Politehnika i dizajn, vol. 12, no. 2, 2024.[15] S. Mohanty and P. Christopher B, "A bibliometric analysis of the use of the Gamification Octalysis Framework in training: evidence from Web of Science," Humanities and Social Sciences Communications, vol. 10, no. 1, pp. 1-14, 2023.[16] Wikimedia, "Octalysis," Wikipedia, 1 Apr. 2024. [Online]. Available: https://en.wikipedia.org/wiki/Octalysis. [Accessed 20 Dec. 2024].[17] M. Shortt, S. Tilak, I. Kuznetcova, B. Martens and B. Akinkuolie
-367. Retrieved from https://magnascientiapub.com/journals/msarr/content/impact-robotics-clubs-k-12-students- interest-stem-careersBalgopal, M. M. (2020). STEM teacher agency: A case study of initiating and implementing curricular reform. Science Education, 762-785. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/sce.21578Ching, Y.-H., Yang, D., Wang, S., Baek, Y., Swanson, S., & Chittoori, B. (2019). Elementary school student development of STEM attitudes and perceived learning in a STEM integrated robotics curriculum. TechTrends, 63(1), 590-601. Retrieved from https://link.springer.com/article/10.1007/s11528-019-00388-0Mabli, J., Bleeker, M., Fox, M. K., Jean-Louis, B., &
actionable guidance. A feedback loop will be incorporated to refine detection capabilities overtime, adapting to evolving phishing strategies. Moreover, collaboration with local organizations andcommunities will help raise awareness about phishing risks and promote the chatbot as a valuable tool for 1digital security. This paper presents several key contributions to the field of phishing detection in messagingapplications:(a). Tailored Optimization for WhatsApp: By focusing exclusively on WhatsApp, this solution ensures specialized phishing detection, offering a seamless and consistent user experience optimized for one of the most widely used messaging platforms.(b). Immediate Threat
solutions have been proposed as ways that faculty can communicate withstudents. The first design concept is our most basic design. Centered around an LED displaysystem with pre-programmed switches corresponding to a few preset messages. The seconddesign incorporates an E-Ink display that is updated via a keyboard and mouse, powered by aRaspberry Pi 3 Model B+. The third design concept features an LCD screen that can bewirelessly updated using a website. The device runs on a Raspberry Pi 3 Model B+. The displaywill be clear and readable to the students, while also allowing for quick updates. All of thedesign concepts will need to have a plastic casing. The casing is designed to be 3D printed withPLA filament. After considering the information from
. Journal of Manufacturing and Materials Processing, 9(1), 16.[2].Mokhtar, W. A., & Nasir, S. B. (2024, March). Effects of injection molding processparameters on the mechanical properties of ABS and PP polymer. In 2024 ASEE North CentralSection Conference.[3].Ahmed, T., Sharma, P., Karmaker, C. L., & Nasir, S. (2022). Warpage prediction of Injection-molded PVC part using ensemble machine learning algorithm. Materials Today: Proceedings, 50,565-569.[4]. Nasir, S. B., & Mokhtar, W. (2024). Effects of Injection Molding Process Parameters on theMechanical Properties of ABS and PP Polymer.[5]. Tranter, J. B., Refalo, P., & Rochman, A. (2017). Towards sustainable injection molding ofABS plastic products. Journal of Manufacturing Processes
high school students engaged inthe interactive project planning and designing the BMPs for the site. a) b)Figure 6. High school students engaged with stormwater site design at a) the Blue PlanetJob: Careers in Water event; and c) a civil engineering summer camp.Concluding RemarksThe hands-on activity developed for "Blue Planet Jobs: Careers in Water" successfullydemonstrated how collaborative outreach events can inspire interest in water related jobs as wellas civil and environmental engineering among high school students. By blending technical rigorwith creativity, the session allowed participants to
concentrations of PM2.5 particles. Proceedings of the 2025 ASEE North Central Section Conference Copyright © 2025, American Society for Engineering Education 12 (A) (B) (C) (D)Figure 4: Simulated settlement amount over one year in (kg) of coal fly ash particles size range of 0.5m to 2.5m for (A) U.S, (B) West Virginia, (C) Ohio, and (D) Kentucky Proceedings of the 2025 ASEE North Central Section Conference Copyright © 2025
supportive option for its students.References [1] B. Bygstad, E. Øvrelid, S. Ludvigsen, and M. Dæhlen, "From dual digitalization to digital learning space: Exploring the digital transformation of higher education," Computers & Education, vol. 182, p. 104463, 2022. [2] R. P. Goldenson, L. L. Avery, R. R. Gill, and S. M. Durfee, "The virtual homeroom: Utility and benefits of small group online learning in the COVID-19 era," Current Problems in Diagnostic Radiology, vol. 51, no. 2, pp. 152–154, 2022. [3] V. G. Padaguri and S. A. Pasha, "Synchronous online learning versus asynchronous online learning: A comparative analysis of learning effectiveness," in Proc. AUBH E-Learning Conf., 2021. [4] K. Baba, N
. 010138, Jun. 2023, doi: 10.1103/PhysRevPhysEducRes.19.010138.[3] W. C. Lee, J. L. Hall, A. Godwin, D. B. Knight, and D. Verdín, “Operationalizing and monitoring student support in undergraduate engineering education,” Journal of Engineering Education, vol. 111, no. 1, pp. 82–110, 2022, doi: 10.1002/jee.20431.[4] P. Hardy and M. Aruguete, “Needs assessment in STEM disciplines: reliability, validity and factor structure of the Student Support Needs Scale (SSNS),” Assessment & Evaluation in Higher Education, vol. 39, no. 5, pp. 553–562, Aug. 2014, doi: 10.1080/02602938.2013.857642.[5] W. C. Lee and H. M. Matusovich, “A Model of Co-Curricular Support for Undergraduate Engineering Students
Paper ID #49518Engaging Undergraduate Students in Solving Real Roadway Problems at theCampus of the Islamic University of MadinahDr. Aiman S Kuzmar, Islamic University of Madinah, Saudi Arabia Dr. Aiman Kuzmar, P. E. has a 1994 Ph. D. from Duke University. He has a 1987 Master’s from Rice University. His 1984 BS degree is from King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia. All of his degrees are in Civil Engineering. Dr. Kuzmar is a licensed Professional Engineer (P. E.) with the State of North Carolina since 1999. He is also a licensed Registered Engineer with the Jordanian Association of
unbiased evaluation of modelperformance. The training set constituted 70% of the data, while 20% was reserved for validation and 10% for testing. These preprocessing steps ensured that the models were trained on a diverse and well-prepared dataset, allowing forreliable performance comparisons across SegNet, U-Net, and YOLO-Seg. As shown in Table I, the dataset was efficientlylabeled using Roboflow, a free and user-friendly annotation tool. Its intuitive interface eliminates the need for specializedtraining, making it accessible even to users with minimal technical expertise. TABLE I S UMMARY OF B LOOD C ELL DATASET
Paper ID #49488West Virginia’s Power Systems Industry: History, Directions, and FutureAlexa July Hoffman, Marshall UniversityDr. Trevor Joseph Bihl, Marshall University ©American Society for Engineering Education, 2025 West Virginia’s Power Systems Industry: History, Directions, and FutureAbstractWest Virginia (WV) is well known across the United States for its coal mining industry.However, while coal has been the state’s largest source of power for decades, a shift to shuttingdown coal-fired power plants is resulting in WV exploring new power generation methods. Asthe interest in renewable energy increases, the state is
Paper ID #49585Modeling of Single Muscle Fiber Action Potential With Varying DepthEdward Jesse Sizemore IIIMohammed Ferdjallah, Marshall University Dr. Mohammed Ferdjallah is an Assistant Professor in the Department of Computer Science & Electrical Engineering at Marshall University. Dr. Mohammed Ferdjallah received his PhD degree in Electrical and Computer and MS degree in Biomedical Engineering from The University of Texas Austin. He also received his MD degree from the International University of the Health Sciences. He has a multidisciplinary expertise in image & signal processing, computational modeling, and
Paper ID #49605Tag AI-SandboxRoberto Andre Mossi, Gannon UniversityDr. Ramakrishnan Sundaram, Gannon University Dr. Sundaram is a Professor in the Electrical and Computer Engineering Department at Gannon University. His areas of research include computational architectures for signal and image processing as well as novel methods to improve/enhance engineering education. ©American Society for Engineering Education, 2025 Tag AI-Sandbox Abstract This paper develops a Tag AI-Sandbox through competition
Paper ID #49763Mindset Matters: Exploring Grit and Attitudes in Engineering and CS Undergradsin an NSF S-STEM funded programDr. Tina Johnson Cartwright, Marshall University Dr. Tina Cartwright is a professor of science education at Marshall University. She collaborates with colleagues across both the Colleges of Science and Engineering and Computer Science to support student success in STEM.Julie Lynn Snyder-Yuly, Marshall University Julie Snyder-Yuly, Associate Professor Department of Communication Studies, Marshall University (Ph.D. University of Utah, 2017). Dr. Snyder-Yuly’s research engages qualitative and
Paper ID #49616Robotic Wildfire Detection Using Computer VisionMr. Preston K Sellards, Marshall UniversityMathew Allen, Marshall UniversityProf. Pingping Zhu, Marshall University Prof. Pingping Zhu is an assistant professor in the Department of Computer Sciences and Electrical Engineering at Marshall University.Ben Taylor, Marshall University ©American Society for Engineering Education, 2025 Robotic Wildfire Detection Using Computer VisionAbstractIn today's world, wildfires represent a global challenge that is accelerated by climate change, whichrequires researchers to propose new solutions for
significance of this research lies in its potentialapplications across diverse sectors, such as search and rescue operations, entertainment, andhuman-computer interaction. The drone control strategies developed in this research hold promisefor enhancing user interaction and contributing to more intuitive and accessible drone operationsacross various industries. These advancements signify progress towards establishing a more user-friendly and versatile autonomous drone landscape, highlighting the research’s implications andpractical applications.1. Introduction The growing demand for intuitive and efficient control systems in drone technology hasspurred significant research into alternative methods for interacting with these devices
-proposedsolutions instead of investigating their own ideas with personal critical thinking. Engagingstudents, from day one, in PBL method exploiting efficiently AI, could result in enhancingmotivation of engineering students, even those lacking scientific prerequisites. Practicalexperiments, like disassembling and reassembling technology, combined with PBL, are expectedto reduce students' apprehension of engineering courses.I. IntroductionThe rapid technological innovations in all sectors such as sustainable infrastructures orautomated machines require more engineers with versatile skills. This demand, thoughinequitably distributed around the world, is a global trend. In the US, the CHIPS and ScienceAct, the estimation is that in the semiconductor industry
advice. Part of establishing those connections maybe professors sharing information about themselves; however, at times professors may not knowwhat students want to know. The author of this paper determined what students want to know byincluding a question in a pre-course survey that was sent out by the professor prior to the start ofthe class. This survey originally asked only about the students themselves – the pronunciation oftheir name, when they took the pre-requisite class and how well they felt they retained it, whatconcerns they might have about the class, and similar items. In 2023, a question was added to askstudents what they wanted to know about the professor; the answers to those questions were thentypically provided through a
Paper ID #49534Spark of Imagination CapstoneGrace Hattery, Ohio Northern University Grace Hattery is a Senior at Ohio Northern University pursuing a Mechanical Engineering Major and a Entertainment Design and Production Minor.Dr. Stephany Coffman-Wolph, Ohio Northern University Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Previously, she worked at The University of Texas at Austin and West Virginia University Institute of Technology (WVU Tech). She is actively involved in community outreach with a goal
Paper ID #49603Academic Advising AppBenjamin P Starling, Ohio Northern University Ben Starling is a senior student pursuing a degree in Computer Engineering at Ohio Northern University. He is currently working on his capstone project, which focuses on developing an academic advising application to streamline communication and enhance advising processes for students and faculty. Ben’s academic interests span both hardware and software engineering, with a strong passion for developing integrated solutions that bridge the two fields. After graduation, he aims to pursue a career in both hardware and software engineering.Kento