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2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department Oct 2024

2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the fall of 2024.

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Landrum’S Popcorn & Candy Co. Business Plan, Joseph Pitman Oct 2024

Landrum’S Popcorn & Candy Co. Business Plan, Joseph Pitman

Distinguished Student Scholarship Collection

This business plan outlines the strategic vision and operational framework for Landrum’s Popcorn & Candy Co., a minority- and women-owned startup located in Landrum, South Carolina. Founded by Joseph and Carmen Pitman, the business aims to deliver a nostalgic retail experience through a curated selection of gourmet popcorn, retro candies, scoop ice cream, and beverages. The plan details market opportunities driven by regional growth and tourism, especially the proposed Saluda Grade Trail, and highlights the founders’ extensive experience in business, culinary arts, and technology. With a strong emphasis on community engagement, customer experience, and sustainability, the business is positioned to …

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Reducing Selection Bias In The Training Data Of Asl Champ! To Improve The Sign Language Recognition (Slr) System, Nushla Pradhan '26, Laine Silverman Oct 2024

Reducing Selection Bias In The Training Data Of Asl Champ! To Improve The Sign Language Recognition (Slr) System, Nushla Pradhan '26, Laine Silverman

Annual Student Research Poster Session

American Sign Language (ASL) is a natural language that is critical for effective communication within the Deaf community and also to bridge the gap between hearing and Deaf or Hard-of-Hearing individuals. Conventional methods of ASL learning apart from in person classroom instruction provide foundational knowledge but often lack the immersive and interactive elements. People often opt to learn ASL through textbooks and videos due to the limited availability of proficient ASL instructors, lack of other educational resources and limited time. This creates challenges of replicating real-life conversational scenarios and lack of real time feedback. To address these limitations, Virtual Reality …

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Investigating Neurite Outgrowth Influenced By Breast Cancer Progression Using In Vitro Models Of Collagen I Hydrogels, Emma Waskom '27, Nikolas Ala-Kokko, Younghye Song Oct 2024

Investigating Neurite Outgrowth Influenced By Breast Cancer Progression Using In Vitro Models Of Collagen I Hydrogels, Emma Waskom '27, Nikolas Ala-Kokko, Younghye Song

Annual Student Research Poster Session

Through the use of vitro modeling of tumor progression, using collagen I hydrogels and progressing cell lines, a demonstration of the interactions between breast cancer cells and nerve cells can be investigated. With these models, our goal is to compare the measurement of outgrowth of nerve cells through the use of supplemented NGF and co cultures of breast cancer cells. Human MCF-CA1a.cl1, -AneoT, and -10A, adipose-derived stem cells (ASCs), and rat PC-12 cells, were all passaged from 2D cultures and cultured in a collagen I hydrogen at a cell density of 250,000 cells/ml of media. Collagen hydrogels were then made …

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Experimental Evaluation Of A Thermoelectric Generator Integrated With A Flat Plate Solar Collector And Ethylene Glycol-Water Mixture, Precious Arlene V. Melendrez, Marita Natividad De Lumen Oct 2024

Experimental Evaluation Of A Thermoelectric Generator Integrated With A Flat Plate Solar Collector And Ethylene Glycol-Water Mixture, Precious Arlene V. Melendrez, Marita Natividad De Lumen

Journal Article

This study investigates the performance of a power generation system that integrates solar flat plate collector systems (SFPC) with thermoelectric generators (TEGs) under standard operating and environmental conditions to enhance the utilization of renewable energy sources. The system utilizes a vacuum-type collector and a stagnant fluid enhancer mixture comprising 50% ethylene glycol (EG) and 50% water 2 within the copper tube absorber to absorb heat from solar radiation. At approximately 10:00 a.m., the system achieves a maximum power generated of 13 V and 1.5 amps at an external temperature of 34°C, showcasing its capability to capture solar energy effectively. Additionally, …

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Muscogiana Vol. 35(2), Fall 2024, Mike Bunn, Rachel Dobson Oct 2024

Muscogiana Vol. 35(2), Fall 2024, Mike Bunn, Rachel Dobson

Muscogiana

Muscogee County, Columbus, Georgia, Genealogy

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Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng Oct 2024

Gaze Tracking Embedded Collaborative Robots For Automated Metrology And Reverse Engineering, Sachithra H. Karunathilake, Md Shahriar Forhad, Zhaohui Geng

Manufacturing & Industrial Engineering Faculty Publications

Conventional geometric metrology, or three-dimensional (3D) scanning, and reverse engineering heavily rely on the experience of the operators. With an increasing need for automation, robot arms have been adopted for this task. However, due to the large variety of parts and designs, automated path planning could provide a scanning solution that may overlook the critical area, which could potentially deteriorate the scan results. This article explores the integration of collaborative robotics (cobots) with eye-tracking technology to improve the autonomous 3D scanning process. The primary objective of this study is to enhance the accuracy and efficiency of cobots in 3D scanning, …

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Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li Oct 2024

Data-Driven Roughness Estimation Of Additively Manufactured Samples Using Build Angles, Jose Galarza, Jose Barron Jr., Farid Ahmed, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

Achieving control of Laser Powder Bed Fusion (L-PBF) over the quality of the print is the main motivation for finding an optimum set of parameters in the process. Surface roughness is one of the characteristics of the print that impacts the performance of the desired functionality. This research focus is to relate the build angle with the surface roughness on the L-PBF printed specimens and utilize machine learning methods for roughness estimation of geometric features with varying build angles. The EOS M290 L-PBF printer was used to print Inconel-718 coupons using standard process parameters while varying build angles from 20 …

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Nbc Peacock North Fall 2024 Newsletter, Peacock North Staff Oct 2024

Nbc Peacock North Fall 2024 Newsletter, Peacock North Staff

NBC Peacock North Newsletter

Highlights include: Journalist Evan Gershkovich and 15 Other Prisoners Released -- Sports Broadcasting Hall of Fame Announces Class of 2024 -- SNL Movie to Debut October 11th -- NBC News Dream Team at the Paris Olympics -- Looking Back: Willie Mays -- Tributes to Silent Microphones

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Overcoming Contamination Obstacles In Additive Manufacturing A Monolithic Propulsion Structure For The Sunrise Mission, Holly Walen, Emma Brown, Robert Fowler Oct 2024

Overcoming Contamination Obstacles In Additive Manufacturing A Monolithic Propulsion Structure For The Sunrise Mission, Holly Walen, Emma Brown, Robert Fowler

Space Dynamics Laboratory Publications

The SunRISE propulsion system utilizes an additively manufactured monolithic structure containing a main tank, plenum, and six thrusters. The complex design geometry and novel manufacturing approach of this structure lends itself to several problems, primarily related to the consistent fabrication of the thruster channels. Standard cleaning methods for stereolithography printing were inadequate to meet program requirements for this structure, leading to the development of a rigorous cleaning approach and intermediate characterization of the thruster throughput during the manufacturing process. In this paper, we present the cleaning and characterization approach that lent to the successful manufacturing of the SunRISE propulsion structure.

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Biomechanical Effects Of Worn-Out Shoe Outsoles And Insoles On The Human Foot, Yuka M. Iwashita, James A. Engebretson, Shreeshan Jena Oct 2024

Biomechanical Effects Of Worn-Out Shoe Outsoles And Insoles On The Human Foot, Yuka M. Iwashita, James A. Engebretson, Shreeshan Jena

College of Engineering Summer Undergraduate Research Program

The combination of outsole, midsole and insole layers of new shoes provide proper cushioning to the foot during the daily activities of life. Subsequently, the wear-based degeneration or damage to one or more of these sole layers can reduce the cushioning effect to the plantar surface of the foot. This reduction of cushioning effect can impact the distribution of stress concentration regions along the foot plantar surfaces and lead to foot pathologies. The present proposed research intends to study these effects of shoe-wear on the plantar surface of the human foot, using FEA (ABAQUS) and experimental methods. Commonly, the worn-out …

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This Is An Automated Software Platform For Grid Interconnection Of Renewable Energy Resources., Cathy Chen, Lani Nguyen Oct 2024

This Is An Automated Software Platform For Grid Interconnection Of Renewable Energy Resources., Cathy Chen, Lani Nguyen

College of Engineering Summer Undergraduate Research Program

To help curb climate change, the United States is rapidly electrifying many sectors of the energy economy, such as transportation (electric vehicles) and home heating (electric heat pumps). Thus, recent years have witnessed an explosion of businesses that want to connect and operate energy resources on the electric grid. However, getting an energy resource connected to the grid is an arduous process that takes years or more, requires specialized technical knowledge, and requires navigating complex and varying regulatory procedures. This project will develop a software platform that leverages AI and high-performance computing to automate and accelerate grid interconnection and energy …

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Empirical Support For Algorithmic Conjectures, Shayan Daijavad Oct 2024

Empirical Support For Algorithmic Conjectures, Shayan Daijavad

College of Engineering Summer Undergraduate Research Program

Our project focuses on a particular Markov Chain Monte Carlo algorithm, with applications in statistical physics, known as hardcore model Glauber dynamics. The target distribution of Glauber dynamics is a distribution of all of the independent sets within a graph. An independent set is a set of vertices within a graph with no two vertices in the set containing an edge between them. Our goal is to find whether or not the Glauber dynamics for sampling independent sets on trees mixes in time O(nlogn), and determining how the mixing time changes if we bias the algorithm in favor of larger …

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Understanding And Enhancing Sustainability Literacy In Cal Poly's College Of Engineering, Kenna Toohill Oct 2024

Understanding And Enhancing Sustainability Literacy In Cal Poly's College Of Engineering, Kenna Toohill

College of Engineering Summer Undergraduate Research Program

This study uses survey data collected from Cal Poly students to analyze engineering students' sustainability knowledge and their perspectives on Cal Poly's efficacy in teaching concepts in sustainability. It also compares the College of Engineering to other colleges to determine if, and how, CENG is behind in environmental education at Cal Poly.

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Advanced Localization Technologies For Autonomous Robotic Apple Harvesting, Gabriel K. Basus Oct 2024

Advanced Localization Technologies For Autonomous Robotic Apple Harvesting, Gabriel K. Basus

College of Engineering Summer Undergraduate Research Program

No abstract provided.

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Measurement Automation & Measurement System Research Endowment, Brian Bivinetto, Beneda Loya, Shiron Bendrihem Oct 2024

Measurement Automation & Measurement System Research Endowment, Brian Bivinetto, Beneda Loya, Shiron Bendrihem

College of Engineering Summer Undergraduate Research Program

Road travel safety is always the most important issue in transportation systems. In general, several factors cause road accidents, such as human error, vehicle mechanical failure, roadway limitations (e.g. pavement, lane geometry, etc.), and inclement weather conditions. The major focus of today’s transportation developments is related to making highway transportation safer, smarter, and greener to enhance livability. Many accidents are caused when drivers lack a better understanding of the surrounding traffic conditions because the driver not only needs to control his/her vehicle but also needs to be aware of the movements of the vehicles around him/her. A driver cannot be …

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Mechanical Properties Of Polymer Matrix Nanocomposites Reinforced With Varying Carbon Nanotube Geometries, Ethan Gaigalas, Zoe Kelemen Oct 2024

Mechanical Properties Of Polymer Matrix Nanocomposites Reinforced With Varying Carbon Nanotube Geometries, Ethan Gaigalas, Zoe Kelemen

College of Engineering Summer Undergraduate Research Program

This study serves as part of an introduction to nanocomposite research at California Polytechnic State University, San Luis Obispo, and attempts to form an observational comparison between the performance of various CNT-Epoxy nanocomposites under drop weight testing. As a continuation of research on CNT-Epoxy nanocomposites, this study specifies three geometries of Multi-walled carbon nanotubes: straight (MWSCNTs), helical (MWHCNTs), and OH-functionalized straight (FMWSCNTs); and it compares their impact resistances to neat epoxy samples. Based on the total number of failed samples under a normalized impact energy of 0.335J/mm, it is observed that FMWSCNTs increase the impact resistance of Epoxy panels at …

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Sal-E: Responsive Space Pathfinder Mission, Liam Duckworth, Berfredd Quezon Oct 2024

Sal-E: Responsive Space Pathfinder Mission, Liam Duckworth, Berfredd Quezon

College of Engineering Summer Undergraduate Research Program

The main objective of the SAL-E mission is to grow the Cal Poly CubeSat Lab’s (PolySat) capabilities in rapid spacecraft design, as well as to provide the current generation of students with the opportunity to design, test, integrate, and communicate with a satellite. This summer we will be focusing on a few aspects of the spacecraft design and preparing our test facilities for Fall. Specifically, we will be ordering electronics boards that were designed in Spring, testing the boards as they arrive, developing software to interface with the payloads, begin integrated testing, updating the control system in our thermal vacuum …

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Exploring Human Responses In Conversations With Ai Entities, Phillip Semenov, Miguel Coronado Oct 2024

Exploring Human Responses In Conversations With Ai Entities, Phillip Semenov, Miguel Coronado

College of Engineering Summer Undergraduate Research Program

This study argues that while AI systems have become increasingly advanced, they still evoke distinct emotional responses compared to human interactions, potentially limiting their effectiveness in emotionally-driven environments. We used the Emotiv Insight brain-computer interface to monitor participants' emotional responses during controlled interactions with both AI systems and other humans. Key emotional metrics, such as arousal, focus, and stress, were recorded in real time, providing a detailed picture of the emotional dynamics at play in each type of interaction. Participants exhibited higher levels of excitement, stress, and focus during interactions with humans compared to AI systems, while other emotions like …

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Wearable Sensing Systems And Data Analytics For Pressure Sensing Socket Prostheses, Stacey Le, Mio Nakagawa Oct 2024

Wearable Sensing Systems And Data Analytics For Pressure Sensing Socket Prostheses, Stacey Le, Mio Nakagawa

College of Engineering Summer Undergraduate Research Program

Prosthetics have been widely used as the primary solution for lower limb amputations, but residual limb volume fluctuations have posed challenges to the effectiveness and comfortability of these devices. In this project, we aim to observe pressure distribution patterns in the prosthetic socket during gait using sensing technology and investigate the performance of different machine learning algorithms on determining good or bad fit.

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Machine Learning-Based Stress Detection Using Smartphones And Wearable Sensors, Robert Burns, Kassandra Martinez-Mejia Oct 2024

Machine Learning-Based Stress Detection Using Smartphones And Wearable Sensors, Robert Burns, Kassandra Martinez-Mejia

College of Engineering Summer Undergraduate Research Program

Stress and mental health have been considered increasing global concerns in modern society, including some of the illnesses responsible for a large proportion of comorbidities and deaths worldwide, such as depression and cardiovascular disease. Recently, smartphones, smartwatches, and smart wristbands have become an integral part of our lives and have reached widespread usage [1]. This raised the question of whether we can detect and prevent stress with smartphones and wearable sensors wirelessly. The challenge of such an approach is that the weak ECG signal is prone to errors, and the battery life of the smart devices is limited. In this …

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Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro Oct 2024

Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro

College of Engineering Summer Undergraduate Research Program

Characterizing the microstructural behavior of materials is crucial for understanding their properties and performance. Traditional imaging methods, such as optical microscopy and electron microscopy, are effective but costly and time-consuming. Computational approaches can reduce costs and time while expanding the accessibility of microstructural analysis through the generation of new microstructure images. Traditional computational approaches, namely descriptor-based approaches, are slow but effective in low-data scenarios. Modern approaches use machine learning (ML), which is faster but often requires a lot of data to approach the performance of descriptor-based methods. This research leverages a special data-efficient Generative Adversarial Network (GAN) architecture to artificially …

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Surrogate Models For Stress-Strain Mapping Of Microscale Physics, Samuel Roach, Dr. Eric Ocegueda Oct 2024

Surrogate Models For Stress-Strain Mapping Of Microscale Physics, Samuel Roach, Dr. Eric Ocegueda

College of Engineering Summer Undergraduate Research Program

•Learn the difference between different neural networks within machine learning (ML) •Develop a working understanding of the ML tool Pytorch and machine learning operator: Recurrent Neural Operator •Use MATLAB to create and process time dependent stress/strain matrices to display the hyper-parameters for different RNOs •Apply RNO to train the strain-stress mapping of tri-laminate and granular cases

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Exploration Of Esp32 Vulnerabilities And Malware, Charles T. Moreno Oct 2024

Exploration Of Esp32 Vulnerabilities And Malware, Charles T. Moreno

College of Engineering Summer Undergraduate Research Program

The rapid expansion of the Internet of Things (IoT) has revolutionized industries by enabling connected smart devices to monitor, communicate, and automate tasks in real-time. Central to the functioning of many IoT systems are microcontrollers like the ESP32, a versatile and low-cost microcontroller known for its integrated Wi-Fi and Bluetooth capabilities. The ESP32's powerful processing, energy efficiency, and adaptability make it a popular choice for IoT applications ranging from smart home devices to industrial automation. However, as IoT adoption grows, so too do the security challenges posed by vulnerabilities in these devices, particularly within ESP32-based systems. For this project, I …

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Distributed Multi-Robot Localization And Coordination Framework For Mobile Robots, Dmitri Dobrynin, Indigo T. Garcia Oct 2024

Distributed Multi-Robot Localization And Coordination Framework For Mobile Robots, Dmitri Dobrynin, Indigo T. Garcia

College of Engineering Summer Undergraduate Research Program

This project aims to develop an experimental framework for multiple mobile robots, both in simulation and real-world hardware, using ROS 2 as the primary operating system. Utilizing TurtleBot 3 platforms, the team will establish a robust setup that enables tasks such as distributed localization, autonomous navigation, path planning, and formation control for mobile robots. Leveraging simulation environments like Gazebo, the project will replicate real-world setups in a simulated environment for testing and development. All tasks, communication, and sensor integration will be implemented using ROS 2, ensuring seamless coordination and interoperability among the robots. The project involves integrating various sensors and …

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Enhancing Place-Based Interaction With Emotion Ai And Augmented Reality, Jake Maier, Ivan Martinez Oct 2024

Enhancing Place-Based Interaction With Emotion Ai And Augmented Reality, Jake Maier, Ivan Martinez

College of Engineering Summer Undergraduate Research Program

This project explores the integration of augmented reality (AR) and Emotion AI technologies to enhance user experiences in physical environments. By seamlessly merging virtual elements with real-world contexts, we aim to deepen individuals’ interactions and perceptions of their surroundings. Leveraging AR technology enables users to access contextual information, engage with interactive content, and navigate spaces with heightened immersion and understanding. Additionally, Emotion AI enhances these experiences by detecting and responding to users’ emotional states, fostering personalized and emotionally resonant interactions. We aim to integrate digital content within physical environments using mixed-reality headsets equipped with eye-tracking capabilities and consumer-grade wireless EEG …

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Drive To Succeed: Empowering Underserved Communities Through Autonomous Driving Education, Amanda I. Chan Oct 2024

Drive To Succeed: Empowering Underserved Communities Through Autonomous Driving Education, Amanda I. Chan

College of Engineering Summer Undergraduate Research Program

Autonomous vehicle (AV) technology represents the leading edge of innovation in transportation and holds immense potential to transform industries across the globe, with California at the forefront. However, access to education and technical training in this field has often been out of reach for students in underserved communities. The “Drive to Succeed” project endeavors to bridge this gap by introducing autonomous driving technology to high school students in communities where access has traditionally been limited. We propose an outreach program specifically designed to address the underrepresentation of marginalized groups in technology sectors and cultivate the next generation of engineers from …

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Shake Table Testing Of Full-Scale Fully Equipped Timber Assembly In Residential Timber Homes, Derek A. Quintanilla Oct 2024

Shake Table Testing Of Full-Scale Fully Equipped Timber Assembly In Residential Timber Homes, Derek A. Quintanilla

College of Engineering Summer Undergraduate Research Program

No abstract provided.

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Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau Oct 2024

Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau

College of Engineering Summer Undergraduate Research Program

Resume generation using Large Language Models (LLMs) like ChatGPT is becoming increasingly popular for automating the creation of customized resumes, but significant user modification is often required before submission. Common issues include poor alignment with job descriptions, inflated qualifications, and lack of authenticity, which undermine the effectiveness of LLM-generated resumes. This project addresses these challenges by integrating feedback from Applicant Tracking Systems (ATS) to guide LLMs in producing resumes that accurately reflect an applicant’s qualifications and better align with job-specific requirements. By optimizing the model's output through ATS feedback, the project aims to create more authentic, tailored, and ATS-compatible resumes, …

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Advanced Grasping Sensor Technologies For Autonomous Robotic Apple Harvesting Using Tactile Data And Cnns, Chris Bae Oct 2024

Advanced Grasping Sensor Technologies For Autonomous Robotic Apple Harvesting Using Tactile Data And Cnns, Chris Bae

College of Engineering Summer Undergraduate Research Program

This research investigates how to achieve an optimal grasp of an apple using a four-finger soft robotic grasper equipped with force-resistive sensors. Specifically, we sought to determine whether a convolutional neural network (CNN) could accurately classify the grasper's state and recommend adjustments ("in," "out," or "good" grasp) based on tactile data from the sensors. Spatiotemporal tactile images were developed from the sensors and fed into our CNN, achieving near 100% accuracy on unseen test data. This work suggests that CNN-based processing of tactile images can be a powerful tool for real-time control of soft robotic grippers.

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