Engineering Commons^™

Scale-Up And Measurement Enhancements Of A Biogenerator Bioreactor, Jason J. Glas

Electronic Thesis and Dissertation Repository

Renewable energies in the form of wind and solar have seen steadfast growth across the world, however the abundance of these technologies that demonstrate short-term variability in power output threatens power grid stability and necessitates the use of fossil fuels for rapid throttling capability. A requirement for large scale energy storage systems becomes necessary and a system based on hydrogen generation, storage, and consumption for electrical grid supply-demand stabilization using a ferric sulfate oxidant is herein explored, named the BioGenerator. As the name implies, the system functions as an indirect microbial fuel cell using a biologically active broth dominated by …

A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka

Cybersecurity Undergraduate Research Showcase

The internet needs secure forms of identity authentication to function properly, but identity authentication is not a core part of the internet’s architecture. Instead, approaches to identity verification vary, often using centralized stores of identity information that are targets of cyber attacks. Decentralized identity is a secure way to manage identity online that puts users’ identities in their own hands and that has the potential to become a core part of cybersecurity. However, decentralized identity technology is new and continually evolving, which makes implementing this technology in an organizational setting challenging. This paper suggests that, in the future, decentralized identity …

Garbage Float, Gabor Papp, Max Woolverton, Scott Ulatowski, Daniel Ross, Nicholas Gayle, Bryan Merchan-Aragon, Noah Yco, Nicholas Fawcett, Jared Wright, Abdulaziz Salman G Alshahrani, Andrew Mcquire

Mechanical and Civil Engineering Student Publications

Trash pileup in our waters is an increasing problem. Removing floating plastics and debris from our ecosystem would reduce mortality rate of marine animals. Solutions for this already exist but most of them are proprietary and expensive. Therefore, an autonomous, publicly available and cheap alternative was developed to skim and clean the water surface from garbage.

Martian Atmospheric Rover Simulation (M.A.R.S.), Matt Berard, Shelby Beddard, Alexander Brunette, Emma Conti, Collin Duke, Delaney Novak, Keelin Weaver

Aerospace, Physics, and Space Science Student Publications

While rovers have been used by various agencies to explore Mars, their travel is limited by terrain obstacles, which may prevent mission completion. Creating a vehicle equipped with both driving and flight capabilities would allow greater range of motion on extraterrestrial planets. Integrating the technology for both transportation modes into one rover allows for efficiency and advancements in technological and planetary research.

Enhancing Cybersecurity Learning Efficiency: Leveraging Spaced Repetition Systems For Rapid Adaptation, Takudzwanashe Nyabadza

Research Week

No abstract provided.

Secure Cislunar Communication Architecture: Cryptographic Capabilities And Protocols For Lunar Missions, Michael Hamblin, Bilal Abu Bakr

Research Week

The surge in lunar missions intensifies concerns about congestion and communication reliability. This study proposes a secure cislunar architecture for real-time, cross-mission information exchange. We focus on cryptographic protocols and network design for a native IPv6 cislunar transit system.

Through a review of internet and space communication advancements, we emphasize the need for a secure network, exemplified by LunaNet. A robust data transit system with encryption is crucial for a common communication infrastructure. Traditional protocols face latency challenges. We advocate for user-friendly encryption methods to address confidentiality within the CIA Triad. Integrity is maintained through cryptographic message authentication codes. Availability …

E-Bike Improvements, Reuben M. Eye, Cole Huddleston, Jeffery Scott, Cade Lewis, Ethan Ridenour

ATU Research Symposium

No abstract provided.

Ieee Robotics Competition, Emily Webb, Arath Sanchez, Genesis V. Garay, Caleb Bynum, Brandon Bunton

ATU Research Symposium

No abstract provided.

Breast Cancer Classification With Machine Learning, Rahanuma Tarannum

ATU Research Symposium

Breast cancer is one of the foremost causes of death amongst women worldwide. Breast tumours are characteristically classified as either benign (non-cancerous) or malignant (cancerous). Benign tumours do not spread external side of the breast and are not fatal, whereas malignant tumours can metastasize and be incurable if untreated. Rapidly and accurate diagnosis of malignant tumours is significant for efficient treatment and advanced outcomes. In 2022, breast cancer claimed 670 000 lives worldwide. Women without any particular risk factors other than age and sex account for half of all cases of breast cancer. In 157 out of 185 nations, breast …

Arkansas Tech University Modular Robotics Training System, Andrew L. Hilsdon, Jacob L. Crawford, Luke C. Hartman, Samuel E. Allen, Anthony W. Knudson, Kyle B. Mcmillan

ATU Research Symposium

Arkansas Tech University Modular Robotic Training System (ATUM RTS) project aims to combine two existing systems: The Georgia Tech Robotarium and the Micromouse maze-solving competition. The goal of ATUM RTS is to incorporate the challenge and excitement of maze-solving robots with the cloud-based learning system of the Robotarium. We intend to develop an automatic maze table with future remote capabilities to further student learning and engagement. By being able to create custom mazes with ATUM RTS, students will have access to a resource that will allow them to practically apply what they are learning in the classroom. The ATUM RTS …

Adventure Course - Hocking Hills Retreat Center, Donavan Yelle, Valerie Froylan, Nathaniel Nargang, Samantha Paterson

Scholar Week 2016 - present

Hocking Hills Retreat Center located in Logan, Ohio tasked a senior engineering design group with the creation of a high and low ropes adventure course. The goal of this course is to increase the number of visitors to the retreat center. The course was designed to feature a kid’s area; a teamwork section; and beginner, intermediate, and expert courses. All course elements range from ten to thirty feet in elevation to allow for a variety of difficulty levels. The course has been modeled using both AutoCAD and Revit software. Additionally, structural analysis was performed to ensure the safety and strength …

Applications Of Supercapacitors In Robotic Systems, Charles Davis, Zachary Giese, Joseph Gober, Samuel Grisham, Avery Mahan

ATU Research Symposium

This project explores the utilization of a bespoke supercapacitor system to energize and propel a robot across various challenging courses. The custom supercapacitor setup serves as the primary power source, providing rapid charging capabilities and high energy density. The research investigates the integration of this innovative power solution into the robot's design, aiming to optimize its performance and endurance in competitive environments.

Advisync: A Dynamic Academic Course Scheduler, Spencer M. Anderson, Wilson Escobar, Devin Scott Sandlin, Nathan Patrick Doyle

ATU Research Symposium

Academic advising at universities can be a tedious and disorganized process for both students and advisors. Each advisor may have several dozen advisees to manage each semester, and each individual student has unique sets of classes they need to take to graduate. This might lead to scheduling errors. These errors can put the student behind in their degree, thus extending the time it takes for them to graduate past financial aid periods and delay their entry into the workforce. To address this issue, we create AdviSync. It is a tool for both students and advisors that aims to provide a …

Filar Micrometer For Amateur Astronomers, Will Anderson, Conner Moore, Paige Panush

Scholar Week 2016 - present

A filar micrometer that measures double stars orbiting each other is being developed. Most filar micrometers are solely for professional use, making them expensive. Therefore, we are designing a filar micrometer that will be cost effective for amateur astronomers. A 3D printer and polylactic acid (PLA) material are the tools being used to implement the design.

Pyroscan: Wildfire Behavior Prediction System, Derek H. Thompson, Parker A. Padgett, Timothy C. Johnson

ATU Research Symposium

During a wildfire, it is of the utmost importance to be updated about all information of the wildfire. Wind speed, wind direction and dry grass often works as fuel for the fire allowing it to spread in multiple directions. These different factors are often issues for any firefighting organization that is trying to help fight the fire. An uncontrolled wildfire is often a threat to wildlife, property, and worse, human and animal lives. In our paper, we propose an artificial intelligence (AI) powered fire tracking and prediction application utilizing Unmanned Aerial Vehicles (UAV) to inform fire fighters regarding the probability …

Efficient, Affordable, And Accessible (Eaa) House Design, Jack Holohan, Matthew Carpenter, Faith Dalton, Payton Tindal

Scholar Week 2016 - present

Recent trends in the housing market, along with household income disparities, underscore the need for efficient, affordable, and accessible (EAA) housing for middle to lower-middle-income families. The EAA House Design project presents an alternative solution through a detailed set of construction documents encompassing architectural, electrical, mechanical, structural, plumbing, and interior design. Revit software was used to plan, design, and manage the project. The completed project will be submitted for the National Council of Examiners for Engineering and Surveying (NCEES) Engineering Education Award.

Promoting Electric Propulsion (Pep) For Small Craft, Robert Manatt, Brad Fletcher, Hector Campos, Johnathon Poindexter, Quinn Reynolds

ATU Research Symposium

The Promoting Electric Propulsion (PEP) For Small Craft event is a competition held every year by the American Society of Naval Engineers (ASNE) and the United States Coast Guard (USCG), and this coming year’s event is being held in Virginia Beach. It is aimed at inspiring students from universities all over the country and allowing them to design innovative fully electrically propelled boats, present their designs and builds, and race them against each other to show off their finished projects. Using fully electric propulsion systems for marine use can be challenging, but if done right they can provide a clean, …

Pipe Conveyor System For Cylindrical Steel Pipe, Josiah Paynter, Hannah Harris, Sam Bowden, Nicolas Fuentes

Scholar Week 2016 - present

The Peddinghaus Pipe Conveyor Senior Engineering Design Team was given the task of equipping an existing conveyor system with the ability to convey cylindrical steel pipe down the system while keeping the pipe in line with the datum and passline planes and restricting axial rotation. A metal prototype was constructed out of 0.25” mild steel that can store safely underneath the existing conveyor when not in use and extend when needed to constrain the pipes. Three pneumatic cylinders to actuate the main arm of the prototype were equipped with a polyurethane-coated roller to hold the pipe against both the conveyor …

Aisc Structural Steel Bridge Competition, Isaac Baker, Michael Byrne, Andrew Coble, Holden Devore

Scholar Week 2016 - present

The American Institute of Steel Construction (AISC) hosts an annual competition in which students compete to design and fabricate a structural steel bridge. This year, four senior civil engineering majors are representing Olivet Nazarene University (ONU) to fulfill their capstone project requirement for the engineering department. The purpose of this project is to develop relationships between students and professionals while acquiring critical thinking skills. Through sponsor engagement, ONU’s team has developed a 3 ft-wide bridge that spans 20 ft and successfully holds up to 2,500 lbs of live load and 50 lbs of lateral load. The steel bridge is fabricated …

Ambulatory Electrocardiographic Monitoring, Genesis V. Garay, Arath Sanchez

ATU Research Symposium

•Cardiovascular disease (CVD) is the world's leading cause of death, especially prevalent in low- and middle-income countries. Up to 80% of premature heart attacks and strokes are preventable. •Current ambulatory electrocardiographic (ECG) monitors, while effective in diagnosing heart rhythm issues, are often cost-prohibitive and have limitations like short monitoring periods, user-initiated recording, and offline data analysis. •This poster summarizes the foundation of the creation of a monitoring system that attempts to address these issues.

League Of Learning: Deep Learning For Soccer Action Video Classification, Musfikur Rahaman

ATU Research Symposium

The field of sports video analysis using deep learning is rapidly advancing. Proper classification and analysis of sports videos are essential to manage the growing sports media content. It offers numerous benefits for the media, advertising, analytics, and education sectors. Soccer, also known as football, worldwide, is among the most popular sports. This research study used a deep learning-based approach for soccer action detection. Deep learning has become a popular machine learning technique, especially for image and video classification. We have used the SoccerAct dataset, which consists of ten soccer actions like corner, foul, freekick, goal kick, long pass, on …

Analyzing The Impact Of Socioeconomic Factors On Cancer Clinical Trials Accessibility In The U.S. Using Machine Learning, Krysta L. Ray, Hiromi Honda

ATU Research Symposium

While cancer impacts all segments of the United States population, specific groups experience a disproportionate burden of the disease due to social, environmental, and economic disadvantages. This research examines the correlation between socioeconomic factors and the accessibility of cancer clinical trials across U.S. counties, employing a comprehensive dataset, County-Level Socioeconomic and Cancer Clinical Trial Data from Noah Ripper, and advanced machine-learning techniques. Our findings, derived from regression analysis and machine learning models like gradient boosting, highlight significant disparities in trial availability linked to socioeconomic indicators, including poverty rates, population estimates, median income, incidence rates, and mortality rates. Many regression models …

Processing And Testing Commodity And Engineering Cfrtp Composites, Delia M. Derner, Kristine Osorio

Research & Creative Achievement Day

Commodity thermoplastic polymers provide good load transfer to and protection of the reinforcing fibers.  However, their mechanical properties are inferior to high-performance thermoplastic polymer composites.  Findings of preliminary research conducted at WSU showed that continuous fiber reinforced (CFR) commodity polymers such as PETG and PP have better Izod impact resistance than their high-performance CFR counterparts.  Further investigation of these findings is conducted in this research project.  Quasi-isotropic laminates of GF/PETG and GF/PET-am are fabricated and tested in drop weight impact.  The results will be compared with previously determined results of high-performance CF/PPS, CF/PA12 and GF/PPS.  The samples are fabricated using …

Hybrid Pv-Teg System, Anna-Marie Pesaresi, Paige Woolheater, Chance Eoff, Nicholas Colburn

ATU Research Symposium

This research is focused on an innovative approach to improving the efficiency of a well- established renewable energy source. Solar cells are becoming more prominent as the power industry is shifting towards using more clean energy sources. Photovoltaic (PV) solar cells can only absorb a portion of the irradiance spectrum. The portion that is not absorbed raises the temperature of the system. The efficiency of PV cells drastically decreases as the temperature of the module rises and more energy is lost in the form of heat waste. Thermoelectric generator (TEG), when combined with PV cell, thrives off of the PV …

Multi-Rotor Hexicopter, Corbin G. Beard, Payton Riddle, John Washburn, Nate Burckhartzmeyer, Alejandro Gamez

ATU Research Symposium

The Multi-Rotor Hexicopter is an original design for an eighteen motor, hydrogen fuel cell powered drone. After initial success with the hydrogen fuel cell powered drone created by previous students, our goal was take their success and create a much larger drone that could be controlled both from the ground and in the air. Our design was based on a drone created by the company Lift Aircraft. The drone is separated into four components that were designed in Autodesk Inventor. The bottom, known as the sled, is used for the storage of the two hydrogen fuel tanks. The second section, …

Low-Velocity Drop Weight Impact And Compression After Impact Properties Of Symmetric Quasi-Isotropic Cfrtp Composites, Youyi Zhou, Kyungbin Min

Research & Creative Achievement Day

Low-velocity impact properties and residual compression strength after impact performance are used to evaluate composite materials for many applications. In this research, low-velocity drop-weight impact and compression after impact performance of four continuous fiber reinforcement thermoplastic (CFRTP) composites are investigated. Quasi-isotropic samples of GF/PP, CF-PA12, CF-PA6, GF-PA6 were fabricated and tested according to ASTM standards. Three energy levels of 10, 15, and 20 J/mm, were employed in this research. Results indicate that GF/PP exhibits the highest damage resistance and rebound-ability, evidenced by its minimal indentation and damage area, the highest significant damage threshold force, and the highest ratio of impact …

Environmental Health Impacts Of Small-Scale Gold Mining In East Indonesia: Mercury Pollution And Nature Conservation, Tri Edhi Budhi Soesilo, Nada Ismita Hawa, Nuraeni Nuraeni

Journal of Sustainable Mining

The expansion of small-scale gold mining impacts environmental health and socioeconomic. Research in Bombana District, one of the gold mining centers in eastern Indonesia, was conducted to explore perceptions of the impact of small-scale gold mining on human health and attitudes towards environmental conservation activities related to small-scale gold mining activities. This research uses a quantitative approach with univariate tests to identify respondent characteristics, bivariate tests (Chi-square) to test relationships and frequency differences, and multivariate analysis (regression) to test the direction and magnitude of the relationship. The perception of the impact of small-scale gold mining on human health was not …

Ergo Carbon Workspace, Ethan C. Atkinson, Joshua N. Hanner, Rachel A. Henderson, Anders Nielsen, Mohamed A. Salat

Research & Creative Achievement Day

The goal of the Ergo Carbon Workspace is to create a monitor stand that is both lightweight and easily transportable, catering to the needs of modern workspaces. Constructed from carbon fiber, epoxy resin, and a honeycomb core, this design emphasizes portability without sacrificing durability. Incorporating aerospace-grade honeycomb core as well as braided carbon fiber epoxy struts bolsters structural integrity while maintaining a lightweight part. The Ergo Carbon Workspace design facilitates effortless assembly and disassembly, simplifying transportation and packaging. Through the utilization of composite materials, the stand achieves an optimal balance of strength and portability. Ergo Carbon Workspace will also incorporate …

Enhancing Disease Detection In South Asian Freshwater Fish Aquaculture Through Convolutional Neural Networks, Hayin Tamut, Musfikur Rahaman, Dr. Robin Ghosh

ATU Research Symposium

Aquaculture expansion necessitates innovative disease detection methods for sustainable production. This study investigates the efficacy of Convolutional Neural Networks (CNNs) in classifying diseases affecting South Asian freshwater fish species. The dataset comprises 1747 images representing 7 class, healthy specimens and various diseases: bacterial, fungal, parasitic, and viral. The CNN architecture includes convolutional layers for feature extraction, max-pooling layers for down sampling, dense layers for classification, and dropout layers for regularization. Training employs categorical cross-entropy loss and the Adam optimizer over 30 epochs, monitoring both training and validation performance. Results indicate promising accuracy levels, with the model achieving 92.14% and test …

Anomaly Detection With Spiking Neural Networks (Snn), Shruti Bhandari, Vyshnavi Gogineni

ATU Research Symposium

Abstract:

Anomaly detection, the identification of rare or unusual patterns that deviate from normal behavior, is a fundamental task with wide-ranging applications across various domains. Traditional machine learning techniques often struggle to effectively capture the complex temporal dynamics present in real-world data streams. Spiking Neural Networks (SNNs), inspired by the spiking nature of biological neurons, offer a promising approach by inherently modeling temporal information through precise spike timing. In this study, we investigate the use of Spiking Neural Networks (SNNs) for detecting anomalies or unusual patterns in data. We propose an SNN model that can learn what constitutes normal …