Engineering Commons^™

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

ATU Scholars Symposium

No abstract provided.

Breast Cancer Classification With Machine Learning, Rahanuma Tarannum

ATU Scholars 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 …

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

ATU Scholars 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 Scholars 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 …

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

ATU Scholars 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 …

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

ATU Scholars 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, …

Ambulatory Electrocardiographic Monitoring, Genesis V. Garay, Arath Sanchez

ATU Scholars 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 Scholars 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 Scholars 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 …

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

ATU Scholars 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, …

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 …

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 …

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

ATU Scholars 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 …

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 Scholars 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 Scholars 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 …

Mechanical Characterization Of Hemp, Jute, And Flax Based Natural Fibre Composites For Non-Structural Applications In Aircraft And Automobiles, Ravi Kumar B

Theses and Dissertations

Demand for reducing energy consumption and detrimental environmental impacts after the effective lifetime of an engineering material are the major driving factors for the development of natural fibre reinforced composites (NFRCs) in various sectors. Compared to synthetic fibre like carbon-fibres or Kevlar, natural fibres provide several benefits including light weight, inexpensive, recyclability, superior specific strength, biodegradable, non-toxic during handling, and less energy intensive during manufacturing. This doctoral work presents observations from mechanical tests and interpretations on the suitability of natural fibre reinforced composites for less heavily loaded engineering applications areas.

In the first stage, jute, flax, and hemp fibres were …

Exploring Various Integration Methods Of Carbon Quantum Dots In Cspbcl3 Perovskite Solar Cells For Enhanced Power Conversion Efficiency, Eman Sawires, Zahraa Ismail, Mona Samir, Ahmed Agour, Fathy Amer, Hassan Nageh, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Methods For Finding Best Coset Codes For Physical-Layer Security, Andrew Glenn Swain

Theses and Dissertations

Finding best coset codes for secrecy over the binary erasure wiretap channel remains a difficult problem. Greater understanding of the structure of coset codes is necessary to reduce the problem space in which we search for these best codes. This dissertation presents new necessary conditions for a code to be best, including a condition that states that a code must maximize the minimum distance of both itself and its dual. It introduces and evaluates the accuracy of new heuristics to approximate the code's equivocation based on a code's weight enumerator polynomial. We also present a new tool for visualizing the …

Predicted Strength And Ductility Of Roof Truss Diaphragms With Tension-Only Rod Bracing And Hillside Washer Rod Connections, Emma Jean Brown

Theses and Dissertations

Metal buildings with roof truss diaphragms and tension-only rod bracing are a common structural system for single story industrial and commercial buildings. Despite the widespread use of metal building diaphragms in modern construction, there is limited knowledge on their strength and ductility under seismic loads. In this study, finite element models of diaphragm subassemblies and a full-size diaphragm were created to determine the strength and ductility of metal building diaphragms with tension-only rod bracing using hillside washer rod connections. Finite element models of two-tier diaphragm specimens that had been previously tested in the laboratory were created. Girders and purlins were …

Radiative Cooling For Energy-Efficient Power Generation, Rickia Hanna

Celebrating Scholarship and Creativity Day (2018-)

This thesis examined radiative cooling on a small scale using a hybrid photovoltaic/radiative cooling model system, to determine its efficiency for large-scale power generation. Radiative cooling is concerned with heat transfer and this thesis’s main goal is to harness that heat energy to produce electricity. The efficiency of the system was tested using various light sources at different angles and total power output. The testing was done several times and there proved to be a proportional relationship between light intensity and current output. However, due to the performance threshold of the PTEC module, the component of the system used to …

High-Performance Concrete Comprising Silica Fume: Evaluation Of The Decommissioned Salt Lake City Airport Parking Structure, Trevor William Pratt

Theses and Dissertations

The objective of this research was to quantify the benefits of silica fume through a detailed investigation of the concrete decks within the now-demolished Salt Lake City International Airport parking structure, which was constructed in 1991, after it had been in service for almost 30 years. Several tests were performed to evaluate each of five areas within the parking structure. The results of field testing included data obtained from visual inspection, chain dragging, Schmidt hammer testing, and cover meter readings, while the results of laboratory testing included data obtained from chloride concentration, modulus of elasticity, electrical impedance, rapid chloride permeability, …

A Data-Driven Framework To Inform Sustainable Management Of Animal Manure In Rural Agricultural Regions Using Emerging Resource Recovery Technologies, Mohammed T. Zaki, Lewis Stetson Rowles, Jeff Hallowell, Kevin D. Orner

Civil Engineering & Construction: Faculty Publications

Thermochemical conversion technologies are emerging as preferred resource recovery practices for managing animal manure in agricultural regions. Although the implementation of such technologies has been previously studied, difficulties exist in maintaining balance between high rate of resource recovery and low environmental, economic, and social impacts, particularly in rural regions with limited resources. We developed a data-driven framework by integrating machine learning with life cycle thinking that can be used as an open-source tool to help overcome these barriers. The framework was applied to compare two emerging technologies: pyrolysis versus hydrothermal carbonization for managing the excess poultry litter in a rural …

Computational Fluid Dynamics Analysis And Empirical Evaluation Of Carboxymethylcellulose/Alginate 3d Bioprinting Inks For Screw-Based Microextrusion, Sungmin Lee, Minjae Son, Juo Lee, Iksong Bun, Jin-Woo Kim, Jungsil Kim, Hoon Seonwoo

Biological and Agricultural Engineering Faculty Publications and Presentations

Three-dimensional microextrusion bioprinting technology uses pneumatics, pistons, or screws to transfer and extrude bioinks containing biomaterials and cells to print biological tissues and organs. Computational fluid dynamics (CFD) analysis can simulate the flow characteristics of bioinks in a control volume, and the effect on cell viability can be predicted by calculating the physical quantities. In this study, we developed an analysis system to predict the effect of a screw-based dispenser system (SDS) on cell viability in bioinks through rheological and CFD analyses. Furthermore, carboxymethylcellulose/alginate-based bioinks were used for the empirical evaluation of high-viscous bioinks. The viscosity of bioinks was determined …

Advancing Brain Tumor Segmentation With Spectral–Spatial Graph Neural Networks, Sina Mohammadi, Mohamed Allali

Engineering Faculty Articles and Research

In the field of brain tumor segmentation, accurately capturing the complexities of tumor sub-regions poses significant challenges. Traditional segmentation methods usually fail to accurately segment tumor subregions. This research introduces a novel solution employing Graph Neural Networks (GNNs), enriched with spectral and spatial insight. In the supervoxel creation phase, we explored methods like VCCS, SLIC, Watershed, Meanshift, and Felzenszwalb–Huttenlocher, evaluating their performance based on homogeneity, moment of inertia, and uniformity in shape and size. After creating supervoxels, we represented 3D MRI images as a graph structure. In this study, we combined Spatial and Spectral GNNs to capture both local and …

Critical Raw Material In Mineral Elements Found In Fly Ashes From The Czech Republic Power Plant, Agnieszka Klupa

Journal of Sustainable Mining

The economic development of EU countries is limited due to limited access to a number of mineral raw materials, which necessitates actions aimed at securing the supply of CRM. For this reason, CRMs constitute elements of particular importance for the EU. The aim of the study was to assess the content of CRMs as a potential source of REY in fly ash resulting from the coal combustion in one of the power plants in the Czech Republic. In the tested ash the main phases are: glassy phase, mullite and quartz. The chemical composition of the tested fly ashes showed dominance …

Development Of An E-Governance Solution For Process Safety Management (Psm) Compliance, Dheerajkumar R Narang

Harrisburg University Experiential Learning Projects

E-governance (digital solutions) is the new norm in delivering numerous government services from government to citizens, businesses, institutions, and even other governments across all industry segments. One important application of digital solutions, in the governance space, can potentially be to comprehensively audit and intermittently monitor compliance of process plants with the regional process safety management (PSM) regulations. This presentation unveils the idea of an e-governance PSM solution that will potentially enable the relevant regulatory bodies around the world to seamlessly monitor and intermittently audit the process safety management (PSM) compliance through a digital solution. The presentation builds on an earlier …

Acoustothermal Transfection For Cell Therapy, Xiufang Liu, Ning Rong, Zhenhua Tian, Joseph Rich, Lili Niu, Pengqi Li, Laixin Huang, Yandai Dong, Wei Zhou, Pengfei Zhang, Yizhao Chen, Congzhi Wang, Long Meng, Tony Jun Huang, Hairong Zheng

Faculty Publications

Transfected stem cells and T cells are promising in personalized cell therapy and immunotherapy against various diseases. However, existing transfection techniques face a fundamental trade-off between transfection efficiency and cell viability; achieving both simultaneously remains a substantial challenge. This study presents an acoustothermal transfection method that leverages acoustic and thermal effects on cells to enhance the permeability of both the cell membrane and nuclear envelope to achieve safe, efficient, and high-throughput transfection of primary T cells and stem cells. With this method, two types of plasmids were simultaneously delivered into the nuclei of mesenchymal stem cells (MSCs) with efficiencies of …

Analysis Of Close Contact Melting, Mohana Durga Gurunadhan

LSU Master's Theses

This report presents a numerical transient analysis of Close Contact Melting (CCM), intended to help in accurate prediction of melt rate and interface configuration, which is to be utilized for a prospective frozen propellant based propulsion system. Three different substrate shapes namely- Flat, Cylindrical and Wedge, are chosen for the study. The domain discretization is based on generation of boundary fitted mesh and the time varying physical domain is transformed to a fixed computational domain, wherein the associated governing equations are solved. Apart from the conventional linear system solvers, an algebraic multigrid based solver is implemented. A non-iterative implicit/explicit melt …