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Articles 1 - 30 of 78
Full-Text Articles in Physical Sciences and Mathematics
Gr-493 Advancing Non-Invasive Glucose Monitoring Through Integrated Physical Factors And Wavelength Optimization, El Arbi Belfarsi
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 …
Uc-424 Ai Limitations For Web Devlopment, Jacob J. Lalicata, Josh Garske, Thomas Rowlinson, Matthew Madrigal, Muyiwa E. Adewumi
Uc-424 Ai Limitations For Web Devlopment, Jacob J. Lalicata, Josh Garske, Thomas Rowlinson, Matthew Madrigal, Muyiwa E. Adewumi
C-Day Computing Showcase
This research project delves into the exploratory journey of using an AI (Artificial Intelligence), specifically ChatGPT, to assist in developing an auction website. Highlighting the iterative process of problem identification, solution finding, and implementation during development, this project aims to furnish insights into leveraging AI capabilities while addressing its limitations. Through this, developers and AI enthusiasts can gain a comprehensive understanding of effective collaboration with AI, addressing common pitfalls, and devising solutions during software development.
Uc-491 Spectrum Analysis Cli Tool, Vitor B. Santos, Trey Redden, Sam Corella, Christopher Flores Santos, Jonathan Glennon
Uc-491 Spectrum Analysis Cli Tool, Vitor B. Santos, Trey Redden, Sam Corella, Christopher Flores Santos, Jonathan Glennon
C-Day Computing Showcase
The Spectrum Analysis CLI Tool takes in .mp4 recordings of a Spectrum Analyzer, converts them programmatically into values the application can understand and outputs this data into a .csv file. This file can be parsed/filtered by the user with commands during upload of the .mp4 recording, or anytime after the recording has been processed.
Uc-502 Chess App With Ai, Connor Handley, John Paul Cohran, Cole Smith, Paul Russell, Eric Tsai
Uc-502 Chess App With Ai, Connor Handley, John Paul Cohran, Cole Smith, Paul Russell, Eric Tsai
C-Day Computing Showcase
The objective of this project is to create a website that contains a virtual chess game, where the user can play against an opponent powered by an artificial intelligence model. This chess platform will be a widely accessible and user-friendly way to become more familiar with and practice the game of chess.
Gr-504 Synthetic Dna Sequence Generation And Classification For Species Discrimination, Nishat Tasnim
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.
Uc-454 Resilient Infrastructures: Enhancing Akwaaba's Cyber Defenses, Christian Mckee, Mateen Begum, Marisa G. Diaz, Kelvin Nguyen, Shreya Patel
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 …
Uc-523: It 4983 Server Hardening, Manuel Chico, Gilbert Vuong, Harrison Jones, George Barber
Uc-523: It 4983 Server Hardening, Manuel Chico, Gilbert Vuong, Harrison Jones, George Barber
C-Day Computing Showcase
The team was assigned the responsibility of securing a web server. This business website is hosted on a technology stack comprising Apache, MariaDB, Red Hat Linux, and PHP. Our initial task involves conducting a comprehensive assessment of the provided network to identify vulnerabilities and assess potential risks. Subsequently, we will develop a robust security policy plan in alignment with the standards set forth by the National Institute of Standards and Technology (NIST) and industry best practices. Once the plan was approved, our group will proceed to implement the recommended changes to fortify the network, ensuring it complies with industry best …
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
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.
Gc-479 Bioeduhub, Tejesh R Chintam, Shiswa Preethi Chopparapu, Viswa Narendra Reddy Panati, Lithin Venkata Sai Pasupuleti, Aravind Chopparapu
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 …
Gr-469 A Simulation Model Of The Traffic Signal System Using Java, Lingtao Chen
Gr-469 A Simulation Model Of The Traffic Signal System Using Java, Lingtao Chen
C-Day Computing Showcase
A traffic signal controls the flow of traffic at the intersection of two or more roadways. The first system of traffic signals was installed in London, England, in 1868. In this project, I will develop a simulation model for the traffic signal system using Java. The model will simulate the traffic signal system at a single four-way intersection. Also, I will compare the system performance with different input parameters, such as the number of vehicles and the cycle length, using various performance metrics, such as average waiting time and average sojourn time.
Egr-470 Optimizing The Search In Location Using Svm, Naive Bayes, K-Means And Knn, Lalitha Sangamithra Mantha, Krishna Chaitanya Naraparaju, Abhishikth Vadlamani
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.
Egr-490 Importance Of Food Recognition On Blood Glucose Monitoring, Afnan Crystal
Egr-490 Importance Of Food Recognition On Blood Glucose Monitoring, Afnan Crystal
C-Day Computing Showcase
Maintaining blood sugar under control requires eating a healthy and balanced diet, exercising, and adhering to medications. Dietary consumption must be under strict control for diabetic patients’ general health. Traditional techniques for monitoring dietary consumption include recollection and manual record-keeping, which can be tedious and prone to mistakes. However, automated technologies for maintaining records that make use of computer vision, such as food image recognition systems, can streamline chronic health management for diabetics. These solutions seek to efficiently track daily food intake and consequential calories to facilitate and encourage lifestyle improvements. With this goal in mind, we design a Machine …
Uc-394 Ai Limitations, Maria Hurtado Garcia, Syed S. Ahmed, Tuan T. Tran, Michael A. Ramcharan, Kristina Tuzova
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.
Uc-423 Developing Support For Dicom Medical Images, Cassidie G. Grogan
Uc-423 Developing Support For Dicom Medical Images, Cassidie G. Grogan
C-Day Computing Showcase
DICOM (Digital Imaging and Communications in Medicine) is the standard for storing and sharing medical image information. GIMP (GNU Image Manipulation Program) is the leading open-source program for processing professional and scientific images; however, it is currently unable to open many modern DICOM images. The project goal is to update GIMP's DICOM import plugin with code to support all types of DICOM images. After creating a C++ wrapper to incorporate the GDCM (Grassroots DICOM) library into the existing software, GIMP could import images that previously caused errors. The updated plugin has been submitted as a merge request and is currently …
Euc-472 Biomimetic Remote-Controlled Vehicle, Jonathan Ridley, Kian Brown
Euc-472 Biomimetic Remote-Controlled Vehicle, Jonathan Ridley, Kian Brown
C-Day Computing Showcase
The goal of this project is smoothly integrating instinctual concepts of control into devices beyond the body. It is essentially an attempt to extend the body without any complex prior training. To do this, we have developed a both a Bluetooth connection between hand movements and the motors of a multifaceted vehicle. Furthermore, the hand movements will be tracked using both an accelerometer and gyroscope found in the common hobbyist tool Arduino nano. Logging this data and processing it through the Bluetooth communication system, the intention is to provide real-time updates to the vehicle’s motors that ultimately sync the intentions …
Ur-407 Illusion Of Weight: The Use Of Tactile Glove For Muscle Exercise For Elders In Virtual Gym Experience, Johnathon R. Autry
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 …
Ur-510 Exploring The Impact Of Wavelength In Non-Invasive Blood Glucose Monitoring, John E. Oakley, Tahsin Kazi
Ur-510 Exploring The Impact Of Wavelength In Non-Invasive Blood Glucose Monitoring, John E. Oakley, Tahsin Kazi
C-Day Computing Showcase
Diabetes and metabolic diseases are some of the most crucial health issues of the 21st century. Monitoring blood glucose, the lead indicator of these diseases is a cumbersome process of constantly drawing blood or using subcutaneous needles. However, new technologies have emerged for non-invasive blood glucose monitoring that uses spectroscopy, which involves emitting light and capturing patient data with cameras. These new devices remove the cost of multiple tests, reduce the risk of skin conditions, and create more patient-friendly solutions. However, the hardware variables of these devices have not been tested thoroughly. One such avenue is via laser wavelength, which …
Eur-525 Ai-Based Quiz Generation: The Role Of Llms In Digital Education, Devananda Sreekanth
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 …
Gc-444 It Course Profile Website, Manikanta Voruganti
Gc-444 It Course Profile Website, Manikanta Voruganti
C-Day Computing Showcase
Build a Dynamic course profile website for Bachelor of science in information technology courses, that display all the information regarding the course.
Gr-405 Boosting Clickbait Detection Through Semantic Insights And Attention-Driven Neural Network, Lokesh Meesala
Gr-405 Boosting Clickbait Detection Through Semantic Insights And Attention-Driven Neural Network, Lokesh Meesala
C-Day Computing Showcase
The digital age has witnessed an explosion of online content, making it increasingly challenging for users to differentiate between reliable information and clickbait, which is often misleading or sensationalized. Clickbait contributes to the spread of misinformation, phishing attacks, and illegal marketing practices, and manipulates users’ decisions. Even from a business standpoint a clickbait might not lead to a conversion, A user might land on the page by following a clickbait and get frustrated and close the page. Additionally, with the increase in the usage of large language models for content writing it is even more challenging for the general user …
Gr-453 Medical Records Summarization Using Prompt-Based Nlp, Rawan Masadeh, Nicholas S Servies
Gr-453 Medical Records Summarization Using Prompt-Based Nlp, Rawan Masadeh, Nicholas S Servies
C-Day Computing Showcase
In this paper, we present an innovative Natural Language Processing (NLP) algorithm for summarizing medical records extracted from the MIMIC-IV dataset using state-of-the-art (SOTA) techniques in text summarization. The increasing volume of electronic health records (EHRs) demands efficient methods for extracting meaningful insights from these complex and extensive documents. Our algorithm leverages recent advancements in NLP, including transformer-based models, to automate summarizing medical records while preserving critical information. Our algorithm is trained and tested using the Medical Information Mart for Intensive Care (MIMIC)-IV database that provides critical care data for over 40,000 patients admitted to intensive care units at the …
Gr-485 Email Summarizer And Action Item Extractor, Ryan Deem, Eric C Weese
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
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
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
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
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
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
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
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
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 …