Physical Sciences and Mathematics Commons^™

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 …

Dashboard To Quickly Estimate The Cost And Duration Of An Nyc Green Taxi Trip, Isaac Braun

Campus Research Day

Before hailing a New York City (NYC) taxi, residents and tourists do not easily know how much the trip will cost them or how long it may take. Taxis are still heavily used, even with the increase of ride-hailing services like Uber, and a new system has yet to be built to provide customers with these two metrics before taking a trip. This project aims to give riders a quick way to estimate a ride’s cost and duration through an interactive dashboard that allows filtering by pickup and drop-off neighborhoods. This is accomplished by analyzing three years of public data …

Visualizing Nfl Player Metrics, Jayson Rhea

Campus Research Day

This project is dedicated to reshaping the exploration of NFL player data. Tailored for sports analysts and fantasy football managers, the goal is to deliver convenience through seamless data navigation and precise filtering through an interactive dashboard. In contrast to the static formats found on the NFL website and ESPN, this dynamic interface offers interactive visualizations, empowering users to effortlessly compare data. These comparisons can be used draw quick conclusions about player performance.

Optimizing Keyboard Layouts For English Text, David Sommerfield

Research & Creative Achievement Day

QWERTY has been the de facto layout for English text input since its invention in 1874. Its continued usage has led to concerns about its ergonomic shortcomings. Previous attempts at layout creation have usually relied on manual observations of typing data rather than a predictive model. To address this issue, we propose a methodology that incorporates both corpus data from 22 million English websites and 8,228 hours of real-world typing data from participants. The corpus data is processed into bigrams and their number of occurrences. The typing data is preprocessed to exclude user-made typos, and then each bigram is tabulated …

Experimental Impact Craters Into Sloped Targets, Ashley L. Miller, Mark Cintala, Christopher Cline

Research & Creative Achievement Day

Impact cratering is a process that shapes every planetary body in our solar system, including the Earth. On smaller planetary objects without atmospheres like the Moon and asteroids (e.g. Vesta and Ceres), impact cratering creates a rough surface with varying topography as opposed to a flat, horizontal surface. In general, impact cratering experiments are performed into flat targets to simplify the physics and model craters at larger planetary scales. However, the smallest craters that form on planetary surfaces are greatly affected by the local topography and cannot be understood by looking at experiments into flat targets. Dr. Anderson and her …

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 …

Analysis Of Rabies Neutralizing Antibody Titers In The Feline Population Of Winona County, Olivia M. Hendrickson, Jensen K. Christensen

Research & Creative Achievement Day

Canine rabies vaccination, vital for both animal and human health, is well studied and understood. In contrast, our understanding of feline rabies vaccinations, particularly with those that have a compromised immune status, is much less comprehensive. The purpose of this project is to enhance our current knowledge of feline vaccination states through a surveillance study on the feline rabies antibody titer in Winona County's cat population. Specifically, we seek to explore the relationship between an individual feline's immune status and their active anti-rabies antibody titer. To achieve this, we conducted a bicinchoninic acid (BCA) protein assay to determine the total …

Making Mutations In A Vrk1 Plasmid, Madeline M. Thoemke

Research & Creative Achievement Day

One of the most common types of mutations is point mutations, which change a single amino acid, sometimes by changing a single nucleotide. These mutations can cause the protein to fold incorrectly or change how it interacts with other molecules. This research used biochemistry methods to prepare mutated proteins to simulate their behavior in the body. Mutations in the protein VRK1 were chosen for this project. VRK1 is present in human tissues and influences cellular division and RNA processing.VRK1 mutations P79L, A66G, and R219Ihave been linked to neurological disorders and were chosen for this project. Our procedure used biochemistry techniques …

Using Data Visualizations To Analyze Employee Performance At Xcel Energy, Abby Venz

Research & Creative Achievement Day

Companies often are curious about their employee performance. But how, exactly, do they analyze this? As a Data Analytics Intern for Xcel Energy, I was in charge of doing just this. This poster will walk you through the methods used to analyze and model employee performance, as well as the results found and the different ways managers at Xcel Energy used them

Investigating Chemotherapeutic Resistance In Glioblastoma Multiforme A, Katrina M. Yaeger

Research & Creative Achievement Day

Glioblastoma (GBM) multiforme A is a highly variable, grade four cancer that affects the glial tissues of the brain and spinal cord. Cancer cells, including GBM, have purine metabolism markers that make them distinguishable for biochemical research, marked through the rate limiting step in the conversion of inosine monophosphate (IMP) to guanosine triphosphate (GTP), catalyzed by inosine monophosphate dehydrogenase (IMPDH). Cell cultures for both 3T3 cells, used to study normal cell cycles, and GBM cells were grown and replicated, until sufficient cells existed to extract the desired proteins. These proteins were then run through a gel electrophoresis apparatus, followed by …

My Experience As An It Data Intern, Annajo V. Vonseth

Research & Creative Achievement Day

This poster presentation is focused on my internship as an IT Data Intern with B’nai B’rith Youth Organization (BBYO). I was able to use the skills already learned through courses here at WSU to help project and produce high-end reports. Additionally, I was in-charge of the creation of the survey all the way to creating the PowerPoint presentation with the results. I will also discuss how Microsoft Suites played a huge role in my day-to-day work, from large, complex data sets to cleaning and refining old data, I will be discussing the skills I learned during my time as an …

Data Analytics Internship At Fastenal, Jacob J. Haines

Research & Creative Achievement Day

The poster will present the results from an analysis of Fastenal's customer base to find characteristics among them that serve as useful predictors of their spending habits. This will allow Fastenal to create more accurate control groups when assessing the effectiveness of various marketing initiatives. This poster acts as the communication of capstone experience outcomes which is required for Data Science majors in addition to the capstone experience.

Uncharted: Measuring Beyond The Inner Galaxy, Carly J. Fitzgerald, Sammy Schneider, Landyn Schroeder

Research & Creative Achievement Day

My goal in conducting my research was to measure the speed of matter in the Milky Way galaxy using CHART -- the Completely Hackable Amateur Radio Telescope is an inexpensive, constructable telescope used to detect radio frequency waves in the galaxy. Using these waves and the doppler shift equation, I was able to measure the velocity of hydrogen gas in the inner galaxy. In doing this successfully, I was able to graph the relationship between the velocity and radius which is the rotational curve of the inner galaxy. I then collected and used additional data to calculate the rotational curve …

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 …

Developing An Enzymatic Assay For Wine Analysis, Taylor M. Pagel

Research & Creative Achievement Day

During malolactic fermentation (MLF), malic acid is fermented into lactic acid by the bacteria Oenococcus oeni. During this process, malic acid is then converted into lactic acid, converting sour flavors in the wine to buttery. Here we present an enzymatic method to determine the malate/lactate ratio of wines during MLF. Fresh juice samples had detectable amounts of malate, while wine samples had mixed results, as expected. MLF was initiated in a freshly fermented pre-MLF sample of St. Pepin wine and a decreasing trend of malate over time was detected, as predicted. This was compared to increasing levels of lactate in …

Late 3d Transition Metal Complexes Of Bis(Diphenylphosphino)Methane Dichalcogenide Ligands, Connor J. Lehner

Research & Creative Achievement Day

Complexes of bis(diphenylphosphino)methane dichalcogenides (dppmE2, E = O, S, Se) have been prepared for Co(II), Ni(II) and Cu(II) by combination with respective nitrate salts. These ligands are relatively unexplored for 1st row transition metals – with no existing reports of metal complexes for dppmSe2. All obtained complexes were paramagnetic precluding characterization by NMR spectroscopy. An array of methods have been employed to ascertain the structural and electronic forms of all obtained complexes as both tetrahedral and octahedral geometries, corresponding to systems with two or three ligands, respectively, are plausible. Additionally, Co(II) complexes, as d7 systems, could be found in either …

Genetic Association In Entylia Carinata Using Random Forest Classification, Caden J. Harper

Research & Creative Achievement Day

The goal of this research was to identify locations in the genome of the Entylia carinata, known as the treehopper, that are associated with anomalous behavior exhibited by the species. Treehoppers are phytophagous insects and are shown to feed, reproduce, and rear their young on specific aster species. Observation has shown that the insects will disregard potential mates in close proximity in favor of those that originate from the same plant species as themselves. This behavior suggests genetic separation in the species based on plant nativity and warrants genetic analysis. Machine learning offers an effective genetic association technique due to …

Anomalies Within Winona Campus On Protected Wavelengths, Landyn L. Schroeder, Carly Fitzgerald, Sammy Schneider

Research & Creative Achievement Day

The present study is being conducted with the intention of identifying where, why, and what is transmitting a radio signal of 1419 MHz. This anomaly is intriguing because 1400-1427 MHz waves are protected. Because this is a protected wave, it was interesting that it was being transmitted on Winona State Campus which is where the team began research. To gain information, the research team cast the horn to the sky at an elevation of 37 degrees and in the directions of 344 , 213, 143, and 60 degrees bearing, respectively. Now that this baseline information has been collected, the team …

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 …

Enhancing R2l Intrusion Detection Using Decision Trees, Stephen Sommer

Research & Creative Achievement Day

In the age of advancing technology, artificial intelligence, and big data, Remote to Local (R2L) attacks are increasingly threatening cloud computing environments, heightening concerns about security and privacy. Intrusion detection systems (IDS) using Artificial Intelligence play a role in safeguarding data integrity within databases by swiftly identifying and isolating suspicious records. Furthermore, machine learning techniques enhance the effectiveness of these IDS by continuously adapting to new attack patterns and improving accuracy. This research investigates the use of Decision Tree, a Machine Learning Algorithm for enhancing Remote to Local (R2L) intrusion detection capabilities, utilizing the KDD Cup 1999 dataset and the …

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 …

Innovating Inventory And Alert Systems With Object Tracking, Juan Harmse, Esther Peden

Campus Research Day

Security system users require safeguarding inventory from potential theft while reducing manual tracking of physical objects. Our contribution harnesses the power of artificial intelligence and computer vision with YOLO to automate the process of tracking inventory items. The system sends alerts to the inventory manager when it detects particular events. Our approach was evaluated with KernProf profiling, interference, and orientation tests. The results were overall positive in these testing areas.

Accessing Advanced National Supercomputing And Storage Resources For Computational Research, Ramazan Aygun

All Things Open

This presentation will cover ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support), and Kennesaw State University's involvement in Open Science Data Federation program as a data origin to help researchers and educators with or without supporting grants to utilize the nation’s advanced computing systems and services. ACCESS, a program established and funded by the National Science Foundation, is an ecosystem with capabilities for new modes of research and further democratizing participation. The presentation covers how to apply for allocations on ACCESS. The last part of the presentation will briefly explain Open Science Data Federation and Kennesaw State University's involvement as …

Faithful Representation Of Free Groups And Congruent Subgroups Of 𝑆𝐿3 (𝑍), Julius Kurian

Thesis/ Dissertation Defenses

This thesis is concerned with the matrix representation of a free non-abelian group by matrices of size ≥ 3. We proceed from defining an equivalence classes and then transitioning to free groups. We discuss in details the group 𝐺𝑛(𝑘) which is the group generated by the matrices filled with first, (second, etc.) column, except for the intersection with the diagonal, and we have ones on the diagonal and zeros at the other places. The filled places are occupied by the same parameter 𝑘. An alternative proof for the known fact that 𝐺𝑛(3) is not free is provided. The main objective …

Investigating The Magnetic Cycle Of The Planet-Hosting Star Hd189733, Mohammad Samih Husein

Thesis/ Dissertation Defenses

HD189733 is a planet-hosting star, harboring a hot Jupiter situated at approximately 8.8 stellar radii. This system is among the most studied systems for stellar magnetism, Star-Planet Interactions, and exoplanetary atmospheric studies. The large-scale magnetic field of the star exhibits variability on relatively short timescales, however, no magnetic field cycle, including polarity flips, has been observed to date. This absence of cycle detection could be due to observational gaps between observing campaigns. This thesis aims to explore the variability of the activity of HD189733 by conducting a homogeneous analysis of several publicly available datasets, obtained using several spectrographs/telescopes, spanning 18 …

Molecular Geometry Changes In Some Carbonyls And Aromatic Rings Upon Electronic Excitation: Herzberg-Teller Vibronic Coupling And Unitary Duschinsky Rotation, Maryam Mohammed Al Sakkaf

Thesis/ Dissertation Defenses

The common assumption in probing the dynamical motion of molecules is that the molecular electronic activity depends weakly on vibrational coordinates on electronic excitation. Therefore, electron-vibration interaction, which is known as vibronic coupling (VC), may be ignored. The HerzbergTeller theory of vibronic coupling (HTVC) is a breakdown of the Born-Oppenheimer approximation (BOA) since nuclear and electronic degrees of freedom can no longer be separated. The inclusion of a single quantum of a non-totally symmetric vibrational mode changes the overall symmetry of the state and permits the transition. Often, this assumption may be invalid, especially in carbonyl and aromatic compounds. This …