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2023

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Articles 361 - 390 of 3503

Full-Text Articles in Computer Sciences

Gc-427 Elevating Ai Research: Creating A Website For Kennesaw State University's Ai Lab, Shashank Gadhe Nov 2023

Gc-427 Elevating Ai Research: Creating A Website For Kennesaw State University's Ai Lab, Shashank Gadhe

C-Day Computing Showcase

The project titled "Elevating AI Research: Creating a website for Kennesaw State University's AI Lab" is dedicated to developing an HTML5 Content Management System website for Kennesaw State University. This website, AILab.kennesaw.edu, serves as a dedicated platform to showcase lab facilities, ongoing projects, and cutting-edge research, with a focus on promoting global AI research and education. Our target audience encompasses university students, faculty, AI researchers, and organizations with an interest in AI innovation.Preliminary findings support our goal: engaging platforms showcasing AI Lab research effectively.The incorporation of admin access empowers university professors to customize content, thus enhancing adaptability and personalization. These …

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Egc-442 Sars-Cov-2 Spike And Ace2 Protein-Protein Interactions Database, Jovanny Duran Salgado, Durga Narayana Varma Addepalli, Travis Meeks, Pooja Venkata Ramana Adapa, Divya Sri Ambati Nov 2023

Egc-442 Sars-Cov-2 Spike And Ace2 Protein-Protein Interactions Database, Jovanny Duran Salgado, Durga Narayana Varma Addepalli, Travis Meeks, Pooja Venkata Ramana Adapa, Divya Sri Ambati

C-Day Computing Showcase

SARS-CoV-2 protein interactions are essential for viral replication and pathogenesis. To better understand these interactions, we have created a database using AWS (Amazon Web Services) to store data extracted from protein simulations. This database can be used to study the structure and function of SARS-CoV-2 proteins and their interactions with each other and with host cell proteins.

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Gc-447 Bio-Contribute, Tejaswi Divi, Kiranmayi Tandra, Sainath Reddy Bheemireddy, Chandrasekhar Reddy Bheemireddy, Sharanya Chinthakuntla Nov 2023

Gc-447 Bio-Contribute, Tejaswi Divi, Kiranmayi Tandra, Sainath Reddy Bheemireddy, Chandrasekhar Reddy Bheemireddy, Sharanya Chinthakuntla

C-Day Computing Showcase

The "Bio-Contribute" challenge is an ambitious initiative aimed at revolutionizing the way facts are generated and shared in lifestyle sciences. Bio-Contribute encompasses various aspects, including design, development, and facts collection. It leverages Figma for innovation, ensuring a user-friendly and collaborative interface. The challenge has completed the frontend development section, permitting customers to carry out various movements, which include content advent and information seizure with the help of the GPT-3 era. This report gives an in-depth analysis of the venture's progression, strategies used, and initial outcomes, demonstrating its potential to convert statistics introduction and sharing in the discipline of lifestyles sciences.

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Gc-479 Bioeduhub, Tejesh R Chintam, Shiswa Preethi Chopparapu, Viswa Narendra Reddy Panati, Lithin Venkata Sai Pasupuleti, Aravind Chopparapu Nov 2023

Gc-479 Bioeduhub, Tejesh R Chintam, Shiswa Preethi Chopparapu, Viswa Narendra Reddy Panati, Lithin Venkata Sai Pasupuleti, Aravind Chopparapu

C-Day Computing Showcase

Our project introduces an interactive and personalized learning experience aligned with the Next Generation Science Standards (NGSS). Users can explore a diverse range of topics related to biodiversity and environmental issues through quizzes, games, simulations, experiments, videos, podcasts, and articles. The web app adapts content to individual interests and provides tailored feedback to enhance knowledge, skills, attitudes, and behaviors related to these critical subjects. The user-friendly interface and comprehensive modules, including video lectures, readings, quizzes, hands-on experiments, debates, and assessments, ensure a holistic learning journey. Join us on a pathway to understanding and mitigating climate change while making a positive …

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Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada Nov 2023

Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada

C-Day Computing Showcase

Cardiovascular diseases account for nearly a third of global deaths, posing a challenge that machine learning can help address. However, data privacy concerns hinder the direct application of conventional machine learning in this sensitive area. This paper explores Federated Learning (FL) as a decentralized strategy to mitigate these concerns by allowing for local data processing. FL's design ensures that only processed updates, not raw data, are shared with a central server, maintaining individual privacy. Our research assesses FL's practicality and effectiveness in predicting heart disease while adhering to ethical and legal norms. We build upon previous studies, such as Wanyong …

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Gr-422 Simplified Named Entity Recognition Using Context Free Grammar, Sai Chandana Koganti, Varshini Yaganti, Vinesh Babu Yaganti, Surya Kiran Katragadda, Pavani Thulluru Nov 2023

Gr-422 Simplified Named Entity Recognition Using Context Free Grammar, Sai Chandana Koganti, Varshini Yaganti, Vinesh Babu Yaganti, Surya Kiran Katragadda, Pavani Thulluru

C-Day Computing Showcase

Named Entity Recognition (NER) is a crucial component of natural language processing. Although Spacy is a popular tool for NER, it faces challenges in accurately identifying individual's names. In response, Context-Free Grammar (CFG) is introduced as a complementary solution to augment Spacy's NER functionality, with the specific objective of enhancing the precision of person name recognition. This project focuses on formulating CFG rules and applying them to a sample text, showcasing improved NER accuracy. By combining the strengths of Spacy and CFG, we aim to address the limitations of current NER systems, particularly in recognizing individual's names, and contribute to …

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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 …

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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 …

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Egr-470 Optimizing The Search In Location Using Svm, Naive Bayes, K-Means And Knn, Lalitha Sangamithra Mantha, Krishna Chaitanya Naraparaju, Abhishikth Vadlamani Nov 2023

Egr-470 Optimizing The Search In Location Using Svm, Naive Bayes, K-Means And Knn, Lalitha Sangamithra Mantha, Krishna Chaitanya Naraparaju, Abhishikth Vadlamani

C-Day Computing Showcase

The widespread adoption of global positioning technology has led to an increase in products featuring GPS functionality. These devices gather large amounts of location data. However, inherent inaccuracies in GPS data collection are unavoidable. To address these challenges, we shift our focus to identifying the closest points in a location. This requires gathering data to measure distances between a point and all others, and keeping a record of the nearest points. In this project, the Naive Bayes,SVM, k-means, and KNN algorithms are employed to determine the nearest points.

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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 …

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Egr-494 Using A Non-System Language To Implement An Optimized Round Robin Scheduling Algorithm, Francis E Nweke Nov 2023

Egr-494 Using A Non-System Language To Implement An Optimized Round Robin Scheduling Algorithm, Francis E Nweke

C-Day Computing Showcase

The objective of this project is to create an optimized Round Robin scheduling algorithm in C# and examine the related performance metrics. In this study, I will evaluate performance by implementing the optimized model in a non-system language such as (C#). Our simulation would provide insight into the execution of many processes while taking into account arrival times, burst timings, and user-defined time quantum. We can interact with the simulator because it is a Graphical User Interface (GUI) software.

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Gr-504 Synthetic Dna Sequence Generation And Classification For Species Discrimination, Nishat Tasnim Nov 2023

Gr-504 Synthetic Dna Sequence Generation And Classification For Species Discrimination, Nishat Tasnim

C-Day Computing Showcase

The two main goals of this research are to apply machine learning models in computational biology to classify DNA sequences from different species and to create synthetic DNA sequences using GANs. Generative Adversarial Networks (GANs) synthesize DNA sequences while preserving key characteristics like sequence length and GC content. The dataset is enhanced by these artificial sequences, which makes classification jobs better. The classification accuracy of black rat and human genome sequences is evaluated using machine learning models, including Random Forest, SVM, and Logistic Regression. Notably, when trained with synthetic data, all models perform better.

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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.

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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 …

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Gr-519 Meditation As An Intervention To Improve Student Attention An Eeg Study Based On Machine Learning Prediction And Spectral Ratio Analysis, Sreekanth Gopi Nov 2023

Gr-519 Meditation As An Intervention To Improve Student Attention An Eeg Study Based On Machine Learning Prediction And Spectral Ratio Analysis, Sreekanth Gopi

C-Day Computing Showcase

This research aims to develop a machine learning model using EEG data to identify student inattention, serving as an early intervention tool. Attention deficit, influenced by social media, adversely affects student performance. ADHD, characterized by inattention, hyperactivity, and impulsivity, is linked to academic challenges. Early detection in academics is crucial. A Machine Learning model was designed, and trained on an attention dataset with 34 EEG recordings of young adults. The raw EEG data was pre-processed and filtered, ICA was applied, and spectral analysis was done. Guided meditation with music was developed as an intervention to improve attention. EEG recordings from …

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Ur-407 Illusion Of Weight: The Use Of Tactile Glove For Muscle Exercise For Elders In Virtual Gym Experience, Johnathon R. Autry Nov 2023

Ur-407 Illusion Of Weight: The Use Of Tactile Glove For Muscle Exercise For Elders In Virtual Gym Experience, Johnathon R. Autry

C-Day Computing Showcase

This pilot study aims to investigate the potential creation of the perception of weight through a blend of visual and tactile feedback. Utilizing a tactile glove with varying vibration intensities and virtual dumbbell sizes, the experiment explores multiple conditions. These include tactile intensity (small, medium, large), virtual dumbbell sizes (small, medium, large), and diverse visualizations—ranging from no virtual dumbbell with or without tactile feedback to scenarios including both virtual dumbbells and tactile feedback. The study evaluates the virtual reality exercise experience and real performance using EMG sensors to measure muscle response, Heart Rate (HR), Galvanic Skin Response (GSR), and hand …

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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.

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Eur-525 Ai-Based Quiz Generation: The Role Of Llms In Digital Education, Devananda Sreekanth Nov 2023

Eur-525 Ai-Based Quiz Generation: The Role Of Llms In Digital Education, Devananda Sreekanth

C-Day Computing Showcase

Our investigation delves into the application of Large Language Models (LLMs) and AI in crafting quiz-based learning tools for college students. We sifted through academic resources, utilizing keywords such as "AI," "GPT," "BERT," and "LLM," and pinpointed 24 pivotal papers out of over 80. Our findings highlight a preference for models like GPT-3, with newer technologies like BERT and RAG less represented, suggesting potential avenues for future inquiry. The research employed a structured methodology that encompassed an exhaustive literature review, trend analysis over time, and detailed textual scrutiny of AI technology mentions and innovative methods within the domain. This approach …

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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.

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Gr-493 Advancing Non-Invasive Glucose Monitoring Through Integrated Physical Factors And Wavelength Optimization, El Arbi Belfarsi Nov 2023

Gr-493 Advancing Non-Invasive Glucose Monitoring Through Integrated Physical Factors And Wavelength Optimization, El Arbi Belfarsi

C-Day Computing Showcase

This work examines the effects of physical factors like skin tone, temperature, thickness, and humidity on the performance of GlucoCheck, a non-invasive glucose monitoring device using IR technology. It delves into how these variables influence light absorption and scattering in the skin, affecting IR image quality in GlucoCheck. The research addresses how skin humidity alters transmittance, and skin temperature and color diversely impact light absorption. These findings underscore the importance of considering these variables to improve glucose level predictions. We propose a data collection strategy using advanced sensors for real-time acquisition of these factors, integrating them into the algorithm for …

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Uc-395 Ccse Reservation Application, Nicholas Kelley, Tykira Carreker, Keith Mutisya, Aaron Hyatt Nov 2023

Uc-395 Ccse Reservation Application, Nicholas Kelley, Tykira Carreker, Keith Mutisya, Aaron Hyatt

C-Day Computing Showcase

The CCSE department tasked us with creating an application to streamline the reservation of the rooms and equipment maintained by the college. To achieve this, we developed a front-end application created with PHP that allows users to view available resources, and request reservations for them. We created and maintained a back-end database configured with MySQL through phpMyAdmin to allow for the easy integration with the front end. Through the project we created new functions in the application with the user in mind, to create the best possible application to fit the needs of the CCSE department.

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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.

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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.

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Uc-426 Cybersecurity Park, Michael P. Leung, Kalil R. Masters, Robert Deason, Ian C. Skoonberg, Aiden D. Gohlke Nov 2023

Uc-426 Cybersecurity Park, Michael P. Leung, Kalil R. Masters, Robert Deason, Ian C. Skoonberg, Aiden D. Gohlke

C-Day Computing Showcase

We are presenting two additional modules to the Cyber Security Park, a long-running game project that is part of the realities lab. Whack-a-Malware is an arcade game where the player has to whack various malware, each with unique effects that mimic real-world malware. This includes Adware, Spyware, Ransomware, Computer Worms, and Trojan Horses. The player is equipped with two hammers that instantly destroy malware. But it goes on a three-second cooldown every time they destroy something. The player can reduce the cooldown by destroying adware as they are the main cause of slowing down the computer. Digital Footprints Private Investigator …

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Uc-432 Ccse Reservation Application, Brandon R. Bunn, Ryan Kafka, Dina Levieva, Alyn Ovell, Olivia C. Venuti Nov 2023

Uc-432 Ccse Reservation Application, Brandon R. Bunn, Ryan Kafka, Dina Levieva, Alyn Ovell, Olivia C. Venuti

C-Day Computing Showcase

This CCSE Reservation Application project is focused on creating a unified web application to simplify the reservation process for inventory devices and room time slots for faculty and staff at Kennesaw State University. This initiative combines two separate reservation systems into a single solution, encompassing a database, backend, and frontend. The database will store relevant information, the backend will handle data communication, and the frontend will provide a user-friendly interface for making reservations. Administrators will have access to an admin view for managing requests. The project has faced challenges, including resource constraints and team coordination issues. While the integration of …

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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 …

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Uc-454 Resilient Infrastructures: Enhancing Akwaaba's Cyber Defenses, Christian Mckee, Mateen Begum, Marisa G. Diaz, Kelvin Nguyen, Shreya Patel Nov 2023

Uc-454 Resilient Infrastructures: Enhancing Akwaaba's Cyber Defenses, Christian Mckee, Mateen Begum, Marisa G. Diaz, Kelvin Nguyen, Shreya Patel

C-Day Computing Showcase

The project focuses on securing the server infrastructure of Akwaaba, a Caribbean-inspired steakhouse chain with locations in New York City, Atlanta, and Los Angeles. It involves assessing risks, implementing mitigation strategies, and establishing access policies for the on-premise servers. The student team will analyze the Red Hat Linux-based Virtual Machine hosting the WordPress website, which uses PHP, MariaDB, and Apache. Their objective is to prevent intrusions and data breaches that could compromise customer and business data. Furthermore, the team will perform Red and Blue team penetration testing to evaluate security measures and simulate potential attacks. They will incorporate the latest …

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Uc-508 Memories: Echoes Of Resilience, Ethan J Hester, Joshua Tyler Padgett, Katelyn R Freeman, Sarah Crosby, Keith W Rhymer Nov 2023

Uc-508 Memories: Echoes Of Resilience, Ethan J Hester, Joshua Tyler Padgett, Katelyn R Freeman, Sarah Crosby, Keith W Rhymer

C-Day Computing Showcase

Memories: Echoes of Resilience is a first-person narrative experience that takes players through different experiences of a boy with autism. The game aims to show how everyday interactions can be different to someone with autism. Experiences such as making friends in school, being in overstimulating environments, or managing adult life are experiences we want to simulate for the player. The player will be able to interact with the world around them but will also have to be aware of how their environment impacts them, so they don’t become overstimulated.

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Ur-484 Ai Detection – Chat Gpt, Wylder Everett, Daniel Mode, Paul Nguyen, Alfred Johnson, Bilal Khan Nov 2023

Ur-484 Ai Detection – Chat Gpt, Wylder Everett, Daniel Mode, Paul Nguyen, Alfred Johnson, Bilal Khan

C-Day Computing Showcase

With the emergence of large language models (LLM) and Artificial Intelligence (AI) assistants like ChatGPT, accompanying tremendous potentials are critical challenges. Indeed, these assistant systems can provide quality information with conveniences. However, the generated contents are highly problematic being seemingly indistinguishable from that of human. The implication of this issue is severe in science, education, and domains that value original contents. With such motivation, this project addresses the task of identifying ChatGPT-synthesized texts with a focus on education, specifically, in short-answer questions. The goal of the project is to develop an AI technology that identifies synthesized texts by comparing such …

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Uc-394 Ai Limitations, Maria Hurtado Garcia, Syed S. Ahmed, Tuan T. Tran, Michael A. Ramcharan, Kristina Tuzova Nov 2023

Uc-394 Ai Limitations, Maria Hurtado Garcia, Syed S. Ahmed, Tuan T. Tran, Michael A. Ramcharan, Kristina Tuzova

C-Day Computing Showcase

Our project, "AI Limitations," explores the application of AI, in our case ChatGPT, in creating an online auction website. It investigates the boundaries of ChatGPT's capabilities and highlights its potential, while recognizing limitations in generating precise guidance for completing complex tasks. The project combines research, programming, and documentation, providing valuable insights into AI's role in project development.

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