Physical Sciences and Mathematics Commons^™

Adapt Laser Shaping, Quinlin Reynolds

ATU Research Symposium

Investigation into producing a machine learning algorithm that allows a He-Ne laser to classify whether a produced beam shape is uniformly gaussian or not, in order to adaptively move the laser to consistently target the encoded interference pattern area. This will then result in continuous uniform beam shapes of the desired output.

Arkansas Soil Erosion And Conservation Methods In Ornamental Landscapes, Abby J. Cutsinger

ATU Research Symposium

This study will attempt to identify the best soil erosion mitigation methods for Arkansas ornamental landscape settings by comparing the strengths and weaknesses of known techniques. Since soil is not a renewable resource, we must apply conservation practices wherever possible, not just in agricultural settings. To determine the most effective erosion prevention techniques, this study will review soil studies conducted by the NRCS and NASA, as well as articles on best practices observed in ornamental landscape and agricultural industries. These are analyzed by comparing and contrasting techniques against known problems with Arkansas soil to determine which methods are most effective. …

Use Of Deep Learning In Content-Based Image Retrieval (Cbir), Angelina Das

ATU Research Symposium

In the world of computer vision and data retrieval, a crucial task is finding images within a database based on their visual content. This is known as content-based image retrieval (CBIR). As the number of digital images explodes across fields like online shopping, healthcare, and social media, the need for powerful and precise CBIR systems becomes ever more critical. Early CBIR methods depended on features crafted by hand, like color distributions, texture descriptions, and shape characteristics. However, these techniques often have difficulty capturing the true meaning of an image and might not handle very large datasets effectively. With the rise …

Evaluating Reclaimed Mines And Heavy Metal Soil Contamination, Torin A. Matthews

ATU Research Symposium

Arkansas has a rich history of lead and zinc mining. While there are still some active mines, many historical mines have been abandoned and/or reclaimed. Although most reclamation procedures result in the burial and containment of target minerals, accessory minerals and elements can be leached out of waste materials/tailings piles and include heavy metals (i.e., Pb, As, Cd). We aim to evaluate the soil and watershed of a few abandoned/reclaimed mines in Pope County, AR, for the presence of heavy metals/source minerals. Soil and stream sediment geochemistry will be conducted using a portable x-ray fluorescence analyzer. Field work and sampling …

Binder, Tyler A. Peaster, Lindsey M. Davenport, Madelyn Little, Alex Bales

ATU Research Symposium

Binder is a mobile application that aims to introduce readers to a book recommendation service that appeals to devoted and casual readers. The main goal of Binder is to enrich book selection and reading experience. This project was created in response to deficiencies in the mobile space for book suggestions, library management, and reading personalization. The tools we used to create the project include Visual Studio, .Net Maui Framework, C#, XAML, CSS, MongoDB, NoSQL, Git, GitHub, and Figma. The project’s selection of books were sourced from the Google Books repository. Binder aims to provide an intuitive interface that allows users …

Rsa Algorithm, Evalisbeth Garcia Diazbarriga

ATU Research Symposium

I will be presenting about the RSA method in cryptology which is the coding and decoding of messages. My research will focus on proving that the method works and how it is used to communicate secretly.

Jsper (Just Stablediffusion Plus Easy Retraining), Adam Rusterholz, Meghan Finn, Zach Zolliecoffer, Zach Judy

ATU Research Symposium

JSPER is an an AI art generation Web Application that is both flexible and accessible. Our goal is to enable anyone to create and use their own customized art models, regardless of technical skill level. These models can be trained on almost anything, from a person, to an animal, to a specific object, or even style. The user only has to upload a handful of images of their subject. Then, training settings get optimized at the push of a button to match the type of subject the user is training. After training, their customized model can be used to generate …

Optimizing Campus Chat-Bot Experience Using Puaa: Integrating Large Language Model (Llm) Into University Ai Assistants, Sijan Panday, Zurab Sabakhtarishvili, Clayton Jensen

ATU Research Symposium

The advent of large language models (LLMs) such as Chat-GPT and Bard marks a significant milestone in knowledge acquisition, offering a streamlined alternative to the traditionally labor-intensive process of navigating through multiple checkpoints on the web. This emerging trend in LLMs renders the prevalent rule-based chatbots, commonly utilized by universities, increasingly outdated and subpar. This research project proposes integrating LLM technology into university websites, specifically targeting the needs of students seeking information about their institutions by introducing PUAA (Personal University AI Assistant). Our approach involves using the Retrieval-Augmented Generation (RAG) framework, leveraging the capabilities of the LlamaIndex in conjunction with …

Spoton, Corey A. Naegle, Caleb Mcclure, Chase M. Tallon, Holden J. O'Neal

ATU Research Symposium

SpotOn is a project developed to solve problems with owners losing their pets. The project is in short a solar-powered dog harness with GPS capability with its own application for mobile devices.

Techniques To Detect Fake Profiles On Social Media Using The New Age Algorithms – A Survey, A K M Rubaiyat Reza Habib, Edidiong Elijah Akpan

ATU Research Symposium

This research explores the growing issue of fake accounts in Online Social Networks [OSNs]. While platforms like Twitter, Instagram, and Facebook foster connections, their lax authentication measures have attracted many scammers and cybercriminals. Fake profiles conduct malicious activities, such as phishing, spreading misinformation, and inciting social discord. The consequences range from cyberbullying to deceptive commercial practices. Detecting fake profiles manually is often challenging and causes considerable stress and trust issues for the users. Typically, a social media user scrutinizes various elements like the profile picture, bio, and shared posts to identify fake profiles. These evaluations sometimes lead users to conclude …

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 …

Blind Fighter – A Video Game For The Visually Impaired, Avery Wayne Harrah

ATU Research Symposium

Blind Fighter is a video game made to be playable by anyone, regardless of any visual impairments the player may have. The game relies on auditory queues to allow players to understand what is happening in the game without ever having to see the screen. The project’s goal is to serve as a proof of concept that video games can be made inclusive with a few additions during development, without sacrificing overall quality. To do this, the game features full graphics in addition to testing many strategies for visually impaired players, including direction-based audio, unique sound effects for each game …

Crime Prediction Using Machine Learning: The Case Of The City Of Little Rock, Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen

ATU Research Symposium

Crime is a severe problem in the city of Little Rock, Arkansas. In this study, we aim to develop a machine-learning model to predict criminal activities in the city and provide insights into crime patterns. We will analyze publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figured-based visualizations, to prepare the data for machine learning. We will employ the Neural Prophet, a time-series machine learning model, to predict daily crime counts. The model will …

Reworking Of The Arkansas Tech Human Resources Employee Records Software, Dalton J. George, Brayan Bonilla-Chavez, John Modica, Angelina Das

ATU Research Symposium

Evisions Argos is a real-time reporting tool used by Arkansas Tech in many record-keeping departments. Reworking HR's software using this tool, security and database access concerns were negated, as Argos is already connected to the University's backend. Using Argos, we have made ATU HR's employee records software more user friendly and built a system that can be pushed to production for use by the university. As a secondary portion to this final project, we developed a proof-of-concept web application using the MEAN (Mongo, Express, Angular, Node) stack. This gave us the opportunity to produce a full-stack application from scratch as …

The Ozark Getaway, Houston Barber, Marcus Gasca, Evan Reece Matlock, Avery Wayne Harrah

ATU Research Symposium

Website designed for usage of renting AirBnb houses outside of the original website under the specific owner.

Arkavalley Liquor: Simplifying Restaurant Alcohol Orders, Isaiah A. Kitts, Dayton Drilling, Bradlee Treece, Cameron Lumpkin

ATU Research Symposium

The ArkaValley Liquor system is a web-based ordering platform designed to simplify the process of ordering alcohol for local restaurants. Currently, restaurants place orders by emailing the store, which makes it difficult to maintain a paper trail and track order details. With the ArkaValley Liquor system, the ordering process is automated, and all order details are saved in one central location. Each restaurant will have a login, ensuring only authorized individuals can place orders. The system will also provide a record of each restaurant's most recent order, making it easy to reorder if necessary. By using the ArkaValley Liquor system, …

Premium Wireless, Dakota Burkhart, Andrew Clark, Garrett Kenney, Brandon Monroe

ATU Research Symposium

Our work implements an inventory system and appointment system for the Premium Wireless phone company. It includes separate views for employees to manage inventory and view appointments for the day and the near future and allows customers to view all current inventory and set an appointment.

Electron Charge To Mass Ratio, Tori Freeman, Quinlin Reynolds

ATU Research Symposium

The purpose of this experiment is to confirm the e/m ratio and charge of an electron discovered initially by J.J. Thomson. We use an electron beam generated inside an e/m tube and Helmholtz coils that generate a magnetic field which deflects the path of the electrons. The radius of the path can be measured and from there the magnitude of the magnetic field and the charge-to-mass ratio can be found. This experiment was successful in confirming the results found by J.J. Thomson and his cathode ray experiments. The results of this experiment had a 0.5% error with the accepted e/m …

Investigating Properties Of Commercially Available Ir Detector Technology, Ethan Taylor

ATU Research Symposium

With the ability to transcode valuable information from light emitting objects, infrared (IR) detector technology has begun to find recreational use in the form of non-contact thermometers and home insulation tools. Research and industry have long been using IR technology in the form of high-altitude balloons, CubeSats, and UAV cameras, but the technology remains a niche market, and thus, a burdensome financial investment. As such, given general consumer products recently introduced as more economically viable, we sought to design an affordable IR camera capable of effective and meaningful data collection. To do so, we utilized a Raspberry Pi 4 and …

Alleviating Environmental Stresses In Native Arkansas Plants By Arbuscular Mycorrhizal Fungi Inoculation, Rebecca C. Morse

ATU Research Symposium

The rapid human-driven changes in the environment during the Anthropocene have placed extreme stress on many native plants and animals. Beneficial interactions with microorganisms may be crucial for ameliorating these stressors and facilitating the ecosystem services host organisms provide. The role of an important mutualistic association with arbuscular mycorrhizal fungi (AMF) in the competitive ability and successful adaptation of Arkansas native species by enhancing nutrient uptake has not been previously considered. Analysis of field root and soil samples from the native species in their native range as well as a controlled greenhouse experiment will be conducted to determine the level …

A Comparative Study Of Specific Enthalpy Of Aromatic Hydrocarbons With Simple Carbohydrates, Kohl D. Kervin, Subha Pratihar

ATU Research Symposium

Calorimetry is an aspect of chemistry primarily focused on determining the enthalpy of reactions (∆Hrxn). In the bomb calorimetry technique, the heat of combustion of chemical compounds can be measured experimentally. From this data and the application of Hess’s Law, ∆the Hrxn of several chemical reactions can be determined. The technique of bomb calorimetry can be applied to food, fuels, pharmaceuticals, and many other fields. The objective of the present project is to determine the specific enthalpy of various simple carbohydrates (naturally occurring sugars) through bomb calorimetry and compare it with that of aromatic hydrocarbons.

By performing benzoic acid standardization …

Environmental Factors Affecting Coleoptera Biomass In The Ozark Mountain Range In Arkansas, Hayley J. Springsteen

ATU Research Symposium

Abstract:

Terrestrial invertebrates including species of Coleoptera (beetles) play an important role in many ecosystem services including soil formation and fertility, pollination, decomposition and nutrient turnover, population regulation of other organisms through predation. Coleoptera are often vital in determining biodiversity and conservation techniques. The purpose of this study is to contribute to the knowledge of how environmental factors and different management practices are affecting Coleoptera populations and further assist ecologists in improving management techniques in the future. The insect data in this study was collected over the course of two weeks in the Arkansas portion of the Boston Mountain range. …

An Investigation Into The Physical Properties Governing The​ Coupled Harmonic Oscillator​, Ethan Taylor, Jj Rivera

ATU Research Symposium

The coupled harmonic oscillator is an extremely important model in physics - especially in the field of solid state physics where the forces that tie atoms to their equilibrium positions are much stronger than their inter-atomic coupling forces. Given a coupled spring-mass system, we want to theoretically determine and then experimentally verify the normal frequencies involved in coupled harmonic oscillation. To do so, a coupled spring-mass system was built using an air track, carts, and PASCO motion detectors, the normal frequencies were theoretically calculated, and then we experimentally verified these normal frequencies with 4 trials: Symmetric, Antisymmetric, and two Mixed …

Chemical And Biological Investigation Of Sambucus Canadensis And Salvia Officinalis, Elizabeth Martin, Harley Hines, Amber Parnell

ATU Research Symposium

New treatments for cancer and bacterial infections are needed, especially because most patients acquire resistance to conventional first-line treatments. Many natural product metabolites exhibit potent activity. Sambucus sp.,elderberry, and Salvia sp., or sage, are well-known shrubs for their therapeutic benefits. This study aims to analyze how secondary metabolites are extracted from the Native American Elderberry, Sambucus canadensis, and Sage, Salvia officinalis. It also aims to investigate the process of vinegar baking of medicinal plants to enhance the chemical space and increase the biological properties. Vinegar-baked and non-vinegar-baked elderberries and sage were utilized to test this theory. A Soxhlet …

Process Of Building And Designing A Spectrometer, Tori Freeman

ATU Research Symposium

Spectroscopy is the study and measurement of electromagnetic spectra resulting from electromagnetic radiation interacting with matter. Each element when excited emits a unique spectrum containing light of various wavelengths. The identity of the element can then be determined by examining the spectra. A spectrometer is a scientific instrument that utilizes optics, mirrors, and lenses to capture and examine spectra. A classroom spectrometer is potentially useful in the demonstration of numerous physics principles such as diffraction, reflection, ray optics, etc.

Keywords: Spectrometry, optics, spectrum

Analysis Of The Discrete Cosine Transform Coefficients, Dillon C. Mckinley

ATU Research Symposium

No abstract provided.

A Web User Interface Image Processing Tool For Classifying The Extent Of Dementia Across Alzheimer’S, Sathvik Prasad Palyam, Robin Ghosh

ATU Research Symposium

Alzheimer's disease (AD) is the most common form of dementia. This project used four image specifications to classify the dementia stages in each patient applying the CNN algorithm. Employing the CNN-based in silico model, the authors successfully classified and predicted the different AD stages and got around 97.19% accuracy. Later, a web interface tool was developed to educate doctors or researchers to check the patients' dementia level based on the MRI brain images and suggest symptoms that strengthen the predicted level of AI. A user uploads the brain scan, which is sent to the backend server, where the image is …

Fake Profile Detection On Social Media Using Generative Adversarial Networks (Gans), Edidiong Akpan

ATU Research Symposium

Generative Adversarial Networks (GANs) is an artificial intelligence framework used to make computers inventive. This has been applied in several areas of security such as intrusion detection systems. With the wave of globalization and increased social media presence, security has become a thing of concern. For instance, social media security breaches and faking has become one of the many things people are subjected to ranging from impersonation, cyberbullying, stalking, fraud, fleecing of personal assets, and issuing online threats behind fake profiles, these fake profiles are created either by hacking an existing account or by copying the lifestyle and events shared …