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Articles 421 - 450 of 3697
Full-Text Articles in Computer Sciences
Gpr-2212 Explainable Multi-Label Classification Framework For Behavioral Health Based On Domain Concepts, Francis E Nweke, Abm Adnan Azmee
Gpr-2212 Explainable Multi-Label Classification Framework For Behavioral Health Based On Domain Concepts, Francis E Nweke, Abm Adnan Azmee
C-Day Computing Showcase
Behavioral health, which covers mental health, lifestyle choices, addictions, and crises, poses serious issues in the community. Thus, appropriately analyzing and classifying behavioral health data is crucial for making informed healthcare decisions. Traditional deep learning and natural language processing approaches struggle to effectively identify behavioral health issues because the data is unstructured, complex, and lacks sufficient context. Furthermore, subject matter experts must be consulted to ensure effective identification. In this work, we proposed a deep learning-based framework consisting of several modules: A) domain concept encoder converts the keywords and their evidence types to vectors, which were predefined by a subject …
Gpr-2238 Tech Guru: A Domain Specific Llm For Tech. Industry, Francis E Nweke, Long Vu, Nitin Jha
Gpr-2238 Tech Guru: A Domain Specific Llm For Tech. Industry, Francis E Nweke, Long Vu, Nitin Jha
C-Day Computing Showcase
This project focuses on developing a domain-specific chatbot tailored for the tech industry. The chatbot utilizes articles sourced from blogs written by developers and engineers at leading companies such as Google and NVIDIA. Titles and content from these articles are extracted to form a question-answer dataset, with the titles acting as questions and the article content serving as answers. To refine the questions, we implemented a custom method to format the dataset to follow Alpaca format. The resulting question-answer pairs are then used to fine-tune a language model, adapting it to the specialized domain of the tech industry. Following this, …
Uc-129 Angel Among Us Pet Rescue - Website Enhancement With Chatbot, Koen Victorica, John Huffstutler, Chaz Dooley, Elizabeth A Kovaltchouk
Uc-129 Angel Among Us Pet Rescue - Website Enhancement With Chatbot, Koen Victorica, John Huffstutler, Chaz Dooley, Elizabeth A Kovaltchouk
C-Day Computing Showcase
This project integrates an AI-powered chatbot into the Angels Among Us Pet Rescue website, enhancing user experience by efficiently addressing common queries. The chatbot uses large language model (LLM) technology, which in this project is ChatGPT, to understand and respond to user questions dynamically. A content management system (CMS) supports easy updates to the chatbot’s responses, allowing Angels Among Us staff to manage FAQ entries without technical intervention. The chatbot integrates seamlessly with the existing website, maintaining the organization’s aesthetic, accessibility, and compatibility across devices. This enhancement improves user engagement and streamlines support, enabling the nonprofit to focus more on …
Uc-141 It Capstone Project 17 - Ksu Esports Tournament Bot, Patricia G Helfrick, Niranjanaa Jayakumar, Daniel J Schroeder, Trinity F Miller, Jackson M Stogsdill
Uc-141 It Capstone Project 17 - Ksu Esports Tournament Bot, Patricia G Helfrick, Niranjanaa Jayakumar, Daniel J Schroeder, Trinity F Miller, Jackson M Stogsdill
C-Day Computing Showcase
In this project, our team has automated tournament tasks in the KSU eSports Discord server, with a focus on the League of Legends tournaments. Our team has implemented a matchmaking algorithm that forms teams consisting of players placed within one tier of each other, so teams are evenly matched. Our team has also created a database that stores player statistics and has been integrated with the Discord bot. Furthermore, our team has integrated the developer API with the Discord bot, which pulls player data from the API when players join the server, and the team has been working to improve …
Uc-144 Attack Surface Management And Analysis, Danard S Mclemore, Nick A Tanner, Keshaun Berry, Nelson Thairu, Niang Ciin
Uc-144 Attack Surface Management And Analysis, Danard S Mclemore, Nick A Tanner, Keshaun Berry, Nelson Thairu, Niang Ciin
C-Day Computing Showcase
Recent advancements in AI have made knowledge more accessible, but this also introduces risks, as vulnerabilities can now be quickly found and exploited. To address this, we developed a comprehensive, cloud-native attack surface monitoring suite in Google Cloud. Integrating open-source intelligence tools like OWASP Amass and Project Discovery, along with custom Python-based processing, we gather extensive security data—covering subdomain enumeration, open ports, HTTP responses, and DNS configurations. This data is stored in BigQuery, processed, and visualized in Looker Studio for easy client interpretation. A containerized, scalable backend with a Flask-based API ensures seamless tool integration and adaptability. BigQuery ML further …
Uc-156 Swap - A Solo Developed Fps Game, Noah G Schultz
Uc-156 Swap - A Solo Developed Fps Game, Noah G Schultz
C-Day Computing Showcase
SWAP is an FPS game that blends tactical thinking with quick reflexes and player expression. Your dog Chomper has been kidnapped by the Big Dogs Mafia, and you must infiltrate their undercover locations to bring Chomper back home safe and sound. Along the way, the player will be asked to think on the fly, grabbing anything they can get their hands on to use as a weapon. From pistols and shotguns to forks, screwdrivers and keyboards, everything that the player can pick up is a deadly weapon.
Uc-166 The Eternal Guest - A 2d Hack-And-Slash Game, Luke H Gamage, Zion Johnson, Benjamin J Hedges, Bryanna N Walker, Avis A. Ewing
Uc-166 The Eternal Guest - A 2d Hack-And-Slash Game, Luke H Gamage, Zion Johnson, Benjamin J Hedges, Bryanna N Walker, Avis A. Ewing
C-Day Computing Showcase
The Eternal Guest is a narrative-driven, hack-and-slash combat and exploration game where you make meaningful friendships, battle enemies, and regain lost memories as you traverse a strange, non-euclidian hotel. Use a wide array of weapons and abilities alongside the knowledge you gain from other guests to attempt to escape the bloodlust of a homicidal vampire. The Eternal Guest emphasizes 2D, top-down, melee combat in combination with ranged abilities, offering an exciting dynamic to gameplay. Our game also presents a unique spin on randomized exploration through its unique D.R.E.A.D. system, creating a sense of unease and uncertainty when exploring. This unique …
Uc-173 Leveraging Large Language Models To Empower Caretakers Of People With Dementia, Mercy Olaniran, Emily A Centeno
Uc-173 Leveraging Large Language Models To Empower Caretakers Of People With Dementia, Mercy Olaniran, Emily A Centeno
C-Day Computing Showcase
Behavioral symptoms of Alzheimer's Disease and Related Dementias (ADRD) are detrimental to the quality of life for individuals with ADRD and their caregivers. Symptoms such as wandering, agitation, and confusion can often overwhelm caregivers leading to stress, depression, or burnout which can lead to a decrease in the quality of care. These challenges often result in increased hospitalizations and care costs, creating a need for a solution to support informal caregivers. This project proposes the development of an AI-based Dementia Care Voice Assistant application to meet the needs of caregivers. Using large language models, the application will provide real-time and …
Uc-176 Cybriant: Attack Surface Management, Diwakar Rai, Nicholas Agyen-Frempong, David Laurent, Daniel Gutierrez, Jose R Mendoza
Uc-176 Cybriant: Attack Surface Management, Diwakar Rai, Nicholas Agyen-Frempong, David Laurent, Daniel Gutierrez, Jose R Mendoza
C-Day Computing Showcase
As businesses and organizations expand their operation digitally, so too do the vectors for attack expand. In partnership with Cybriant, this application develops an Attack Surface Composite Score by breaking down various attack common vectors. DKIM records, Open Port Scanning, and other metrics are compiled with the aid of Google Cloud Run jobs, deposited into Google BigQuery for analysis, and packaged and generated using (Grafana/Kibana) as the front-end for our software stack. Our resulting application presents rapid, easy-to-understand breakdowns of various cybersecurity metrics and their impact.
Uc-180 Intelligent Object Retrieval Using Mobile Manipulator, Zhiwen Zheng, Ellie Ireland
Uc-180 Intelligent Object Retrieval Using Mobile Manipulator, Zhiwen Zheng, Ellie Ireland
C-Day Computing Showcase
A mobile manipulator for intelligent object retrieval is presented. The system was integrated using state of the art R&D hardware and software, which implemented autonomous navigation, object recognition, and object pose estimation based optimal grasping. The retrieval of an object of interest is commanded that involves subsequent object detection and recognition while autonomously navigating using the known map and starting from an arbitrary position. From close proximity, object pose estimation based optimal grasp is selected to pick up the object. The object is retrieved back to the start position in this scenario. An 84% trial-phase precision in object retrieval is …
Uc-182 Designing A User-Centered Mobile Application For Anderson Power Services, Ryan Guzman, Cooper Goswick, Anthony Phan, Marie Fotso, Larnel Francois
Uc-182 Designing A User-Centered Mobile Application For Anderson Power Services, Ryan Guzman, Cooper Goswick, Anthony Phan, Marie Fotso, Larnel Francois
C-Day Computing Showcase
This paper presents the design and development process of a mobile application for Anderson Power Services, emphasizing both frontend and backend aspects as well as their design. The frontend focuses on creating a visually appealing and user-friendly interface by utilizing clear text, an accessible color scheme, appropriate logos, animations, and modern typography. On the development side, the app leverages tools like Expo for rapid front-end development and integrates the Java-based backend with the Google Sheets API for easy data management. The backend architecture incorporates OAuth 2.0 for secure authentication, Gradle to facilitate a connection between the JavaScript frontend to the …
Uc-186 Ksu Esport: Competitive Speedrun Plugin For Minecraft Java Edition, Rachel Amponsah, Adam Y Greene, Christopher Kirkwood, Weeldy Benjamin, Steven A Kelsey
Uc-186 Ksu Esport: Competitive Speedrun Plugin For Minecraft Java Edition, Rachel Amponsah, Adam Y Greene, Christopher Kirkwood, Weeldy Benjamin, Steven A Kelsey
C-Day Computing Showcase
The KSU Esports Minecraft Speedrun plugin transforms traditional, manually managed speedruns into an automated team-based competition event. Players are challenged to complete a set of objectives within a set time limit – promoting teamwork and strategic planning. Various modes are supported, such as weighted/unweighted speedruns, team-based speedruns, and player free-for-all. Designed for flexibility, the plugin allows for customizable settings and support for future versions of Minecraft.
Uc-189 Chessai, Joshua M Peeples, Ashton D Miller, Matthew D Corvacchioli, Dylan Luong, Allen L Smith
Uc-189 Chessai, Joshua M Peeples, Ashton D Miller, Matthew D Corvacchioli, Dylan Luong, Allen L Smith
C-Day Computing Showcase
Chess is a widely acclaimed two-player strategy game, where the primary objective is to checkmate the opponent's king, placing it in a position of imminent threat from which it cannot escape. Our aim was to innovate within this classic framework by developing a novel chess game that adheres to the traditional rules while enhancing accessibility for players of all skill levels. This game features a selection of AI models, each offering unique decision-making processes that create diverse gameplay experiences based on the chosen model. The AI operates by simulating every possible move on the board, meticulously evaluating each resulting position. …
Uc-197 It Capstone 4983: Honeybaked Ham Intranet Sharepoint Site Transformation Presentation, Martez D Andrews Ii, Kayla Pyram, Amir Abdolkarimi, Precious Flowers, Ardarius Ceasar
Uc-197 It Capstone 4983: Honeybaked Ham Intranet Sharepoint Site Transformation Presentation, Martez D Andrews Ii, Kayla Pyram, Amir Abdolkarimi, Precious Flowers, Ardarius Ceasar
C-Day Computing Showcase
The purpose of our team’s research is to explore and define ways in which we can advance aesthetics and functionalities of how website content and ideas are presented to HoneyBaked Ham end users. Our team has goals of identifying crucial focal point areas and various ways we can overall improve upon such. We will utilize practicality, ingenuity and creativity, in order to demonstrate and perform deliveries of proper new perspectives of the site. We will seek out such advancements we can add while remaining within necessary parameters, maintaining the respected, well renowned HoneyBaked Ham Brand. We would like it to …
Uc-202 Indy-5 Building Map Application, Harrison Varnadoe, Eduardo A Payan, Zach W Wilson, Lucas A Haas
Uc-202 Indy-5 Building Map Application, Harrison Varnadoe, Eduardo A Payan, Zach W Wilson, Lucas A Haas
C-Day Computing Showcase
This project’s goal is to develop a simple secure mobile application for all devices to provide a detailed interior map that can guide users to any location in the building. It will use QR codes for ease of access, and the app will provide guidance via room numbers and a visual route. Our scope includes designing the architecture of the app, creating a responsive and interactive map User interface in an app that is compatible across all devices for a nice user experience.
Uc-226 Real-Time Bus Monitoring Using Kafka, Samuel A Bostian, Michael Rizig, Charlie Mclarty, Brian A Pruitt, Allen Roman
Uc-226 Real-Time Bus Monitoring Using Kafka, Samuel A Bostian, Michael Rizig, Charlie Mclarty, Brian A Pruitt, Allen Roman
C-Day Computing Showcase
The GCPS Real-Time Bus Monitoring System aims to enhance bus operations for Gwinnett County Public Schools by transitioning from a polling-based system to a real-time Kafka event-streaming architecture. This project processes telemetry data from over 2,000 buses, simulating a scalable, near-instantaneous data flow into an SQL Server database. Key features include real-time data validation, efficient data storage, and containerized deployment for consistency across environments. Using an Agile approach, our team handled evolving requirements from the sponsor, who is new to senior project collaborations. This system enables GCPS to monitor bus locations with reduced latency, enhanced accuracy, and improved resource management, …
Uc-231 Symptom-Based Disease Prediction, Jarred M Barber, Kody Clark, Ryan Mwangi, Zhiwen Zheng
Uc-231 Symptom-Based Disease Prediction, Jarred M Barber, Kody Clark, Ryan Mwangi, Zhiwen Zheng
C-Day Computing Showcase
This project focuses on leveraging large-scale data sets and advanced analytical techniques to predict the onset of diseases. By integrating data from medical records, genetic information, and environmental factors, the project aims to identify patterns and risk factors associated with various diseases. Machine learning algorithms and statistical models are employed to enhance the accuracy of predictions, enabling early diagnosis and personalized healthcare interventions. This approach improves patient outcomes and contributes to the efficiency and effectiveness of healthcare systems.
Uc-248 Campus Ai Companion Mobile App, Dorian Taponzing Donfack, Aurelien Takou, Leopold Sokoudjou Gatsing, Yann Djoumessi, Manuella Koodjo
Uc-248 Campus Ai Companion Mobile App, Dorian Taponzing Donfack, Aurelien Takou, Leopold Sokoudjou Gatsing, Yann Djoumessi, Manuella Koodjo
C-Day Computing Showcase
The Campus AI Companion app is designed to enhance students' university experiences by providing personalized recommendations for courses, events, clubs, and career paths. Leveraging OpenAI’s language model and developed using React Native, this mobile application integrates academic and social guidance, tailored for individual users based on their interests and performance. This AI-driven companion aims to help students better navigate their university journey by providing seamless access to resources, activities, and support that align with their academic and personal goals.
Ur-147 An 8-Bit Digital Computer Design & Implementation (Team Coa-Wm1), Adrian L Sherard, Jesus Flores, Biswash Lamsal, Blake Hammontree, William Pitts
Ur-147 An 8-Bit Digital Computer Design & Implementation (Team Coa-Wm1), Adrian L Sherard, Jesus Flores, Biswash Lamsal, Blake Hammontree, William Pitts
C-Day Computing Showcase
8 bit computer design using NI multisim
Improving Students’ Cognitive Abilities In Remote Learning Environment Using Brain Computer Interface And Eye-Tracking, Nuraini Jamil
Improving Students’ Cognitive Abilities In Remote Learning Environment Using Brain Computer Interface And Eye-Tracking, Nuraini Jamil
Thesis/ Dissertation Defenses
Attention and cognitive engagement are crucial factors in remote learning environments, where the absence of physical presence often diminishes learning outcomes. Traditional methods for assessing these cognitive states, such as observation and self-reporting, are limited by subjectivity and inefficiency. Automated solutions, particularly those based on biometric data like EEG and eye-tracking, offer a more accurate and scalable alternative. However, developing robust systems that leverage biometric data in real-time presents significant challenges. These include handling large volumes of complex data, ensuring low-latency processing, and adapting machine learning models to diverse learning environments and individual cognitive states. Additionally, the integration of neurofeedback …
Drone Vs. Drone, Mariah Smith
Drone Vs. Drone, Mariah Smith
Cybersecurity Undergraduate Research Showcase
This paper focuses on the problems that drones pose to digital and physical infrastructure, as well as potential solutions to combat these issues. One solution is incorporating drone usage into ethical hacking. These drone-based attacks are affecting not only economic spaces but also seemingly high-security areas such as prison systems. It is only a matter of time before critical infrastructure is targeted. Conversely, by simulating drone attacks, drones equipped with complex hacking tools and sensors can detect unauthorized pathways and infiltrate networks for the greater good. Incorporating these new practices would enhance digital and physical protection. "Drone vs. Drone" highlights …
Improving Data Curation With Spectral Clustering And Shannon Entropy: An Unsupervised Approach Within The Data Washing Machine, Erin Hathorn
Improving Data Curation With Spectral Clustering And Shannon Entropy: An Unsupervised Approach Within The Data Washing Machine, Erin Hathorn
Theses and Dissertations
In the ever-expanding landscape of digital technologies, the exponential growth of data presents both challenges and opportunities, demanding innovative approaches to data curation. Effective data curation is pivotal for extracting meaningful insights from vast and complex datasets. This study explores the integration of spectral clustering and Shannon Entropy within the Data Washing Machine (DWM), a novel tool designed to streamline unsupervised data curation processes. The DWM incorporates Shannon Entropy into its clustering process, allowing for adaptive refinement of clustering strategies based on entropy levels observed within data clusters. Spectral clustering, known for its ability to handle complex and non-linearly separable …
Strategies To Alleviate Flickering: Bayesian And Smoothing Methods For Deep Learning Classification In Video, Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce A. Cox, Trevor Bihl
Strategies To Alleviate Flickering: Bayesian And Smoothing Methods For Deep Learning Classification In Video, Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce A. Cox, Trevor Bihl
Faculty Publications
Excerpt: Increasing reliance on autonomous systems requires confidence in the accuracies produced from computer vision classification algorithms. Computer vision (CV) for video classification provides phenomenal abilities, but it often suffers from “flickering” of results. Flickering occurs when the CV algorithm switches between declared classes over successive frames. Such behavior causes a loss of trust and confidence in their operations.
Uc-131 Karah Khronicles, Dion Green, Jake Stipetich, Grace Bowe, Jesse Israel, Vedasri Malatker
Uc-131 Karah Khronicles, Dion Green, Jake Stipetich, Grace Bowe, Jesse Israel, Vedasri Malatker
C-Day Computing Showcase
Karah is a thief with a heart of gold, you raid enemy camps and dungeons to steal back the money stolen from towns and villages and upgrade enchanted items to deal with dangerous foes. After successfully returning the wealth to the local town, you must then face down and defeat a general of the evil king.
A Dynamical Systems Approach For Modeling Malware Propagating Through A Network And Potential Solutions Towards Mitigating Spread, James Johnson
A Dynamical Systems Approach For Modeling Malware Propagating Through A Network And Potential Solutions Towards Mitigating Spread, James Johnson
Cybersecurity Undergraduate Research Showcase
Many people draw close parallels between malware propagating through a network and an epidemic spreading through a population. Epidemics are often modeled by a Susceptible-Infected-Recovered (SIR) model, in which a similar system of equations can model the spread of a virus through a computer network, and can be simplified when making assumptions about the network itself and its fixed number of nodes and edges. In this instance, malware propagating in a network also should reflect the network it is propagating through, in which the dynamical system will factor in the nodes of the network and their properties. The system itself …
Enhancing 3d Knowledge-Based Authentication In Vr By Having Fun, William James Doyle V, Christopher Kreider
Enhancing 3d Knowledge-Based Authentication In Vr By Having Fun, William James Doyle V, Christopher Kreider
Cybersecurity Undergraduate Research Showcase
In the modern era of cyber attacks, and an ever-changing online world, safety and security must constantly evolve to fit the current standards. In virtual reality (VR) simple keyboard-typed passwords are a thing of the past. These passwords are complicated and frustrating to input. Along with the creation of VR, it also opened the door to a new era of password-based authentication. Using these systems' technology, password inputting can be a fun experience. These passwords are not only easier, and less frustrating to input, but as shown in previous studies, they can also be faster while still being secure. In …
First Amendment Roadblock? Regulating The Misuse Of Generative Ai Technologies: Impersonation And Appropriation Of Likeness Without Permission, Muhammad Rabiu
First Amendment Roadblock? Regulating The Misuse Of Generative Ai Technologies: Impersonation And Appropriation Of Likeness Without Permission, Muhammad Rabiu
Cybersecurity Undergraduate Research Showcase
This paper initially explores the misuse of generative AI technologies, particularly their role in impersonating or appropriating individuals' likeness without consent. It will then analyze technical and legal mitigation strategies and propose recommendations to address this issue in light of the First Amendment’s constitutional Freedom of Speech provision.
From Classroom To Cloud: Why Cybersecurity Education Is Crucial For Tomorrow's Learners, Kiori Edwards
From Classroom To Cloud: Why Cybersecurity Education Is Crucial For Tomorrow's Learners, Kiori Edwards
Cybersecurity Undergraduate Research Showcase
This paper examines the transformative impact of cloud computing on education, highlighting how cloud technologies are reshaping teaching and learning environments, making education more accessible, flexible, and collaborative. It also explores the critical importance of incorporating cybersecurity education into school curricula. As digital devices and cloud-based platforms become integral to students' daily lives, they are increasingly vulnerable to cyber threats. This paper argues that early cybersecurity education, starting at the elementary level, is essential for equipping future generations with the knowledge and skills needed to navigate the digital world safely, protect their personal information, and avoid cybercrime.
Integrating Humanities Into Cybersecurity Education: Enhancing Ethical, Historical, And Sociopolitical Understanding In Technical Training, Joseph Frusci
Journal of Cybersecurity Education, Research and Practice
The increasing complexity of cybersecurity challenges necessitates a holistic educational approach that integrates both technical skills and humanistic perspectives. This article examines the importance of infusing humanities disciplines such as history, ethics, political science, sociology, law, and anthropology—into cybersecurity education. Through a pilot course developed for Staten Island Technical High School, aligned with the New York State K-12 Computer Science and Digital Fluency Standards, students were introduced to an interdisciplinary curriculum that combined technical cybersecurity training with historical analysis, ethical reasoning, and sociopolitical context. The results of pre- and post-course assessments demonstrated significant improvements in critical thinking, ethical decision-making, and …
Dualrep: Knowledge Graph Completion By Utilizing Dual Representation Of Relational Paths And Tail Node Density Insights, Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Wasim, Fernando Moreira
Dualrep: Knowledge Graph Completion By Utilizing Dual Representation Of Relational Paths And Tail Node Density Insights, Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Wasim, Fernando Moreira
All Works
Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of extensive datasets across many fields. It facilitate activities like recommendation systems, semantic searching, and intelligent data mining. However, lacking information can sometimes limit the usefulness of knowledge graphs (KGs), as the lack of relationships between entities could severely limit their practical application. Most existing approaches for KG completion primarily concentrate on embedding-based methods or just use relational paths, neglecting the valuable structural information offered by node density. This research presents an approach that effectively combines relational paths and the density features of tail nodes to enhance the …