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Full-Text Articles in Physical Sciences and Mathematics

Gr-485 Email Summarizer And Action Item Extractor, Ryan Deem, Eric C Weese Nov 2023

Gr-485 Email Summarizer And Action Item Extractor, Ryan Deem, Eric C Weese

C-Day Computing Showcase

Countless emails are sent and received daily, and a lot of time is spent reading through and understanding the content of these emails. This project aims to increase the efficiency of reading and gathering relevant email information. Our solution includes two parts: abstractive text summarization and action item extraction. Currently, these two items are common in different domains, however, they have not been combined and used with email understanding. Abstractive text summarization is the process of outputting the ideas of the emails using different words without giving quotes from the document. In this way, a person would be able to …


Uc-400 Electric Vehicle Team, Brandon A Solon, Austin D Klein, Caleb Mcmaster Nov 2023

Uc-400 Electric Vehicle Team, Brandon A Solon, Austin D Klein, Caleb Mcmaster

C-Day Computing Showcase

The KSU Electric Vehicle Team is developing a fully autonomous electric go-kart to compete in the Autonomous Karting Series (AKS). Our team will be making two programs for the kart’s software stack. These programs include a race line optimizer, which can take the centerline of a track and generate a minimum curvature path for it to follow to get around the track faster, as well as a race controller which can switch navigation algorithms automatically based on the current conditions of the race.


Uc-408 Web Hardening, Christopher Brown, Spencer J Jackson, Lynder Kigo, Gabrielle Hooper Nov 2023

Uc-408 Web Hardening, Christopher Brown, Spencer J Jackson, Lynder Kigo, Gabrielle Hooper

C-Day Computing Showcase

Our project focuses on ethical hacking and defending in the form of a red/blue team. Our project was broken into 3 phases. In Phase one we were given a server stack and told to do what we could in order to analyze weak points. In phase 2 we were told to bolster the defenses of those weak points. Lastly, in phase 3 were we given an IP address of an opposing team to attack while defending against another teams advances.


Uc-413 I Spy... Water Safety, Caden M. Robertson, Danny Winters, Denice Jaquez, Tahj Brown, Maksims D. L'Hernault Nov 2023

Uc-413 I Spy... Water Safety, Caden M. Robertson, Danny Winters, Denice Jaquez, Tahj Brown, Maksims D. L'Hernault

C-Day Computing Showcase

I Spy Water Safety is a game that teaches people about the importance of water safety around a lake. Our goal is to teach people proper water safety etiquette and lower the amount of water-related incidents.


Uc-433 Finding The Limits Of Ai For Web Development In 2023, Christopher S. Layson, Njagi Kagika, Christian Bush-Cunningham, Ismail O. Lawal, Adam Z. Nash Nov 2023

Uc-433 Finding The Limits Of Ai For Web Development In 2023, Christopher S. Layson, Njagi Kagika, Christian Bush-Cunningham, Ismail O. Lawal, Adam Z. Nash

C-Day Computing Showcase

Our team was tasked with finding the limits of artificial intelligence for web development in 2023. This involved our team researching what the different parts of a website are, how to prompt an AI chatbot to provide us with source code, and how to put together a working prototype of an auction website by the end of our project. Our team produced various documents along the way that show our progress such as various slideshow files, documentation word docs, and a research report on our findings. After working with the AI to produce source code for our website, we have …


Gc-412 Ecoedconnect, Vidhi Dave, Mythili Jayaraman, Manikanta Reddy Anugu, Rohini Paithanker, Neharika Beeram Nov 2023

Gc-412 Ecoedconnect, Vidhi Dave, Mythili Jayaraman, Manikanta Reddy Anugu, Rohini Paithanker, Neharika Beeram

C-Day Computing Showcase

An inventive educational platform called EcoEdConnect provides high school students with various opportunities to investigate biodiversity and environmental issues. By adjusting to each user's needs and choices, the web app offers a customized educational experience such as quizzes, experiments, videos, blogs, articles, etc. The project's first analysis, methodology, and early conclusions are presented in this document. It shows the several phases of the project, such as the introduction modules, practical experiments, discussions, blog, final assessment, and presentation, among other things. The application customizes the material and complexity according to the user's inclinations. Students' knowledge of biodiversity and environmental issues and …


Ur-445 Symphony Of Silicon: Rethinking Music Creation Through Deep Learning Models, Gabriel T. Gillott Nov 2023

Ur-445 Symphony Of Silicon: Rethinking Music Creation Through Deep Learning Models, Gabriel T. Gillott

C-Day Computing Showcase

Generative AI has transformed music creation, blending human and machine artistry. This study presents a neural network model trained on piano MIDI files for music generation, utilizing LSTM and self-attention mechanisms to capture music's complexity. Bayesian optimization with Tree-structured Parzen Estimator (TPE) refines the model's hyperparameters. The architecture includes bidirectional GRUs and self-attention layers, trained on the extensive Magenta MAESTRO dataset. The model, bettered by TPE over conventional tuning, is assessed for accuracy and expressiveness. The paper details the model's design and validates TPE's efficiency, marking progress in AI's creative application in music.


Gc-417 It Curriculum Success Portal, Alexander Thacker, Cedric Boakye-Danquah, Damola Adeyemo, Abdoulaye Ndiaye, Lydia Asante Nov 2023

Gc-417 It Curriculum Success Portal, Alexander Thacker, Cedric Boakye-Danquah, Damola Adeyemo, Abdoulaye Ndiaye, Lydia Asante

C-Day Computing Showcase

In this project, we built a curriculum and course web portal to have all curriculum and course information in one place with easy search and browse interfaces. Currently course data and information are scattered in various places. These include essential information like course description, learning outcomes, sample syllabus, offering schedule and history. It also includes curriculum development information for department use, such as coordinator, developer, revision schedule, open learning materials. We collected all sources of IT course information and built a database to integrate the data in one place. Through this, we can build a complete profile of a course …


Gc-448 Project Title: Discover, Learn, And Protect: A Mobile App For Informal Stem Learning About Local Biodiversity And Environmental Issues., Elvin Mccray, David Y. Appah, Adedunmola Banu, Binh Tran, Zenya Tucker Nov 2023

Gc-448 Project Title: Discover, Learn, And Protect: A Mobile App For Informal Stem Learning About Local Biodiversity And Environmental Issues., Elvin Mccray, David Y. Appah, Adedunmola Banu, Binh Tran, Zenya Tucker

C-Day Computing Showcase

Our team assignment for this project was to create a mobile application that offers informal STEM learning about local biodiversity and environmental issues. Dr. Ying Xie, Professor in the College of Computing and Software Engineering (CCSE) is the owner of this project, who also laid out required features and provided necessary information, guidance, and advice for the project development. The core function of this application is to empower users to explore, identify and gain insights into the plant and animal species native to their region. Leveraging the capabilities of their smartphone’s camera, users can effortlessly scan, record, or locate local …


Gr-430 Plant Disease Detection Using Cnn, Nandini Shankara Murthy, Divya Vasireddi, Mounika Kulkarni Nov 2023

Gr-430 Plant Disease Detection Using Cnn, Nandini Shankara Murthy, Divya Vasireddi, Mounika Kulkarni

C-Day Computing Showcase

Plant diseases are a major source of worry for farmers and the agricultural business. We hope to create a system that can assist in identifying and controlling these diseases more efficiently by leveraging the capabilities of deep learning. This not only protects agricultural yields but also adds to agriculture's sustainability and economic well-being. For this project we have chosen a suitable dataset from Kaggle: Kaggle Dataset: https://www.kaggle.com/datasets/emmarex/plantdisease/data Dataset Overview: The Plant Village dataset contains images of various crops, with each belonging to different classes representing diseases and healthy states. Having a diverse set of images presents an opportunity for deep …


Gr-450 Enhancing Sarcasm Detection With Context Sensitivity, Sai Chandana Koganti, Varshini Yaganti, Venkata Sai Ashik Yadali, Vinesh Babu Yaganti, Hemanth Borra Nov 2023

Gr-450 Enhancing Sarcasm Detection With Context Sensitivity, Sai Chandana Koganti, Varshini Yaganti, Venkata Sai Ashik Yadali, Vinesh Babu Yaganti, Hemanth Borra

C-Day Computing Showcase

Sarcasm identification is a vital challenge in natural language processing. In this project, we address this challenge by employing a context-sensitive approach that leverages deep learning, transformer learning, and conventional machine learning models. We conducted our research using two benchmark datasets: Twitter and Internet Argument Corpus (IAC-v2). Our three primary models—Bi-LSTM with GloVe embeddings, BERT, and feature fusion—outperformed baseline methods, achieving an 89.4% highest accuracy on Twitter datasets and an 81.2% highest precision on IAC-v2. These results highlight the effectiveness of our approach in sarcasm detection, with significant implications for sentiment analysis and opinion mining. While our project provides promising …


Gr-461 Sudoku Solver Using Brute Force Algorithm With Backtracking Approach, Md Shamsul Alam, Md Jahirul Islam, Vyghni Sudha Kommineni, Jaswanthi Vellanki, Poka Sudheer Nov 2023

Gr-461 Sudoku Solver Using Brute Force Algorithm With Backtracking Approach, Md Shamsul Alam, Md Jahirul Islam, Vyghni Sudha Kommineni, Jaswanthi Vellanki, Poka Sudheer

C-Day Computing Showcase

Sudoku is a fun game that challenges our brain to think logically. It only has numbers from 1 to 9 in a 9x9 matrix network where the nine numbers should not be repeated in the same column, row or each 3x3 submatrix. Although there are numerous methods to solve this problem, the most common method is the backtracking algorithm. So, we are using brute force algorithm to solve sudoku and then compare it with backtracking to ensure which algorithm gives best results.


Gr-512 A Fcfs Approach For Order Of Operations In Arithmetic Formalism In Programming Languages, Ethan K Hunt Nov 2023

Gr-512 A Fcfs Approach For Order Of Operations In Arithmetic Formalism In Programming Languages, Ethan K Hunt

C-Day Computing Showcase

This paper provides the description of my research project on the computational power a programming language can have that uses an arthritic model that has a first come first serve approach to the order of operations. The goal of such analysis is to verify if such a method of computation can enclose all basic arithmetic and algebraic expressions, the answer to which will help disclose the computational limitations of certain programming language frameworks.


Egr-518 A Multi-Model Approach For Detecting And Combating Fake News, Sujisha Devineni, Thrisandhya Bodakunta Nov 2023

Egr-518 A Multi-Model Approach For Detecting And Combating Fake News, Sujisha Devineni, Thrisandhya Bodakunta

C-Day Computing Showcase

Internet plays a vital role in our daily lives, we use it for various purposes and benefit from advancements in technology and social media. However, the same platforms which make global information exchange also promote spread of fake news,raising a significant threat. To resist this issue, fact checking has become important, leading to extensive research to identify fake news and deal problems arising with them. Our project’s mission is to find the most effective model for fake news detection. We explore different approaches and models, like BERT, Decision Trees, Logistic Regression, and Ada Boost classification and evaluate their performance by …


Uc-441 Finding The Limits Of Ai For Web Development In 2023, Jessica Chavez, Jackson A. Chastine, Joel R. Eve, Danish Khan, Alexandre D. Garcia Nov 2023

Uc-441 Finding The Limits Of Ai For Web Development In 2023, Jessica Chavez, Jackson A. Chastine, Joel R. Eve, Danish Khan, Alexandre D. Garcia

C-Day Computing Showcase

This Project explores the limits of artificial intelligence (AI) in web development, focusing on the year 2023. The study is conducted by AI Limits Team 1 from Kennesaw State University. The primary objective of the project is to harness the potential of ChatGPT 3.5, an advanced AI model, to create a fully functional Auction House Website. The achievements of the project include innovative web development, AI-generated content, and successful integration of AI into both frontend and backend aspects of web development. The research findings offer valuable insights into ChatGPT's proficiency in generating web application code and emphasize the importance of …


Eur-443 The Compression Connection: Ncd And Knn In Law Enforcement Text Analytics, Gabriel T. Gillott Nov 2023

Eur-443 The Compression Connection: Ncd And Knn In Law Enforcement Text Analytics, Gabriel T. Gillott

C-Day Computing Showcase

Facing a deluge of digital records, law enforcement needs advanced data sorting systems. This project uses a new NLP model, blending compression algorithms and KNN, to categorize Cobb County police reports by mental health, behavioral, and drug issues—vital for efficient resource allocation. The model employs Normalized Compression Distance (NCD) to discern text similarities, enhancing analysis of varying report styles. Early tests show promise in label categorization, but generalizing remains challenging, marking future research directions. This NLP advancement could revolutionize data handling in public safety, aiming to surpass current classification standards.


Knowing Just Enough To Be Dangerous: The Sociological Effects Of Censoring Public Ai, David Hopkins Nov 2023

Knowing Just Enough To Be Dangerous: The Sociological Effects Of Censoring Public Ai, David Hopkins

Cybersecurity Undergraduate Research Showcase

This paper will present the capabilities and security concerns of public AI, also called generative AI, and look at the societal and sociological effects of implementing regulations of this technology.


The Propagation And Execution Of Malware In Images, Piper Hall Nov 2023

The Propagation And Execution Of Malware In Images, Piper Hall

Cybersecurity Undergraduate Research Showcase

Malware has become increasingly prolific and severe in its consequences as information systems mature and users become more reliant on computing in their daily lives. As cybercrime becomes more complex in its strategies, an often-overlooked manner of propagation is through images. In recent years, several high-profile vulnerabilities in image libraries have opened the door for threat actors to steal money and information from unsuspecting users. This paper will explore the mechanisms by which these exploits function and how they can be avoided.


The Heisenberg Lie Algebra And Its Role In The Quantum Mechanical Harmonic Oscillator, Angelina Georg Nov 2023

The Heisenberg Lie Algebra And Its Role In The Quantum Mechanical Harmonic Oscillator, Angelina Georg

Algebra Seminar

No abstract provided.


Irreducible Representations Of Sl(2,C), Della Medovoy Nov 2023

Irreducible Representations Of Sl(2,C), Della Medovoy

Algebra Seminar

No abstract provided.


Lie Algebras And Lie Groups, Nhi Nguyen Nov 2023

Lie Algebras And Lie Groups, Nhi Nguyen

Mathematics Colloquium Series

No abstract provided.


Irreducible Representations Of Sl(2,C), Della Medovoy Nov 2023

Irreducible Representations Of Sl(2,C), Della Medovoy

Mathematics Colloquium Series

No abstract provided.


The Heisenberg Lie Algebra And Its Role In The Quantum Mechanical Harmonic Oscillator, Angelina Georg Nov 2023

The Heisenberg Lie Algebra And Its Role In The Quantum Mechanical Harmonic Oscillator, Angelina Georg

Mathematics Colloquium Series

No abstract provided.


Lie Algebras And Lie Groups, Nhi Nguyen Nov 2023

Lie Algebras And Lie Groups, Nhi Nguyen

Algebra Seminar

No abstract provided.


Understanding Collective Performance: Human Factors And Team Science, Joseph Keebler Nov 2023

Understanding Collective Performance: Human Factors And Team Science, Joseph Keebler

Math Department Colloquium Series

This talk will focus on modern issues with team science. Joe will discuss a variety of projects he's been involved with aimed at improving teamwork in complex sociotechnical systems including military, aviation, and healthcare. He will discuss major theoretical facets of teamwork and provide evidence-based best practices that were utilized to improve teams in applied settings.


Data Quality Checks: Implementation With Popular Data Collection Crowdsourcing Platforms, James Down, Gregory Balkcom, Kristine Duncan, Ngan (An) Truong, Andrew Lewis Nov 2023

Data Quality Checks: Implementation With Popular Data Collection Crowdsourcing Platforms, James Down, Gregory Balkcom, Kristine Duncan, Ngan (An) Truong, Andrew Lewis

Symposium of Student Scholars

The utilization of online crowdsourcing platforms for data collection has increased over the past two decades in the field of public health due to the ease of use, the cost-saving benefits, the speed of the data collection process, and the accessibility of a potentially true representative population. Although these platforms offer many advantages to researchers, significant drawbacks exist, such as poor data quality, that threaten the reliability and validity of the study. Previous studies have examined data quality concerns, but differences in results arise due to variations in study designs, disciplinary contexts, and the platforms being investigated. Therefore, this study …


Machine Learning In Minecraft: Proof Of Concept For Object Detection Oriented Autonomous Bots In Minecraft, John Merkin Nov 2023

Machine Learning In Minecraft: Proof Of Concept For Object Detection Oriented Autonomous Bots In Minecraft, John Merkin

Symposium of Student Scholars

Machine learning provides new methods of problem solving through applied pattern recognition. An interesting challenge is to utilize machine learning in the automation of tasks and behaviors in virtual environments. Minecraft is an open-world, sandbox style game giving players nearly limitless freedom to alter a procedurally generated world. In the survival game mode, the player must collect resources to craft tools and build structures. The collection of resources can be tedious, so this project seeks to automate the standard initial task of collecting wood. By combining a convolutional neural network with API, a bot can collect resources while remaining scalable …


Toxic Comment Classification Project, Brandon Solon Nov 2023

Toxic Comment Classification Project, Brandon Solon

Symposium of Student Scholars

The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety and volume of user-created content. But it's not without its shadows; cyberbullying and hate speech have also proliferated, making web spaces less safe. At our project centerstage, we work on creating a machine learning model skilled at spotting toxic comments with precision - this way contributing towards an internet society free from fear or discomfort. We put well-documented datasets to good use along with careful preprocessing maneuvers while trialing diverse machina-learning protocols as part of constructing solid classification architecture for usages beyond current limitations within …


Quantifying The Role Of Water Quality On Nitrogen Cycling In A Trophic Estuary, Kayla Gonzalez-Boy Nov 2023

Quantifying The Role Of Water Quality On Nitrogen Cycling In A Trophic Estuary, Kayla Gonzalez-Boy

Symposium of Student Scholars

Jobos Bay Estuary is an intertidal, tropical estuary located in southern Puerto Rico. The estuary covers about 12 km2 and has a variety of habitats, such as seagrass beds, mangroves, mud flats, and coral reefs, which play important roles in sediment trapping and water quality maintenance. Seagrasses also serve as nursery and feeding grounds and provide shelter for macrofauna. Currently, the role of seagrasses and water quality on nitrogen (N) cycling in trophic estuaries is not well constrained. Understanding variations in sediment-based effects on N cycling rates and transformations, and how they are associated with water quality, is an …


1324-Avoiding (0,1)-Matrices, Megan Bennett Nov 2023

1324-Avoiding (0,1)-Matrices, Megan Bennett

Mathematics Colloquium Series

A 1324-avoiding (0,1)-matrix is an 𝑚×𝑛 matrix that does not contain the 1324-pattern. Our goal is to find the maximum number of 1’s that an 𝑚 × 𝑛 1324-avoiding (0,1)-matrix can contain. We build upon Brualdi and Cao’s recent work, where they characterized the 𝑚 × 𝑛 1234-avoiding matrices with the maximum number of 1’s. They found that these matrices can contain up to 3(𝑚 + 𝑛 − 3) 1’s. We originally conjectured that 1324-avoiding matrices must contain at most the same number of 1’s, as is the case with the six patterns formed by permutations of {1,2,3}. However, we …