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Articles 32461 - 32490 of 713935
Full-Text Articles in Entire DC Network
Uc-026 Pet Matchmaker, Victoria Davis, Colton Baldwin, Edward Sadler
Uc-026 Pet Matchmaker, Victoria Davis, Colton Baldwin, Edward Sadler
C-Day Computing Showcase
Angel Among Us is a non-profit organization that saves animals from high-killing rate shelters in Georgia. Their goal is to find homes for homeless pets. To increase their efforts, they are developing a web-based application to help improve adoption processes. The goal is to increase adoption rates and be able to provide adopters with information about pets and overall reduce the number of pet returns. This will be accomplished by using adopters’ information and preferences from the web-based application to find long-term compatibility with their recommended pets. The objective is to create a web application interface that includes many core …
Uc-028 Intelligent Arm Meets Machine Vision, Alvaro Esteche, Sergio Sanchez-Alvares
Uc-028 Intelligent Arm Meets Machine Vision, Alvaro Esteche, Sergio Sanchez-Alvares
C-Day Computing Showcase
Most AI and robots have been used to make mundane tasks easier for humans however intricate tasks, such as monitoring have not been tackled. Using the OpenMANIPULATOR-X, Robot Operating System (ROS2), and machine vision, we planned on having AI tracking monitor with 4 degrees of freedom.
Uc-029 Graphbat: Subterranean Data Visualizer, Caroline Roberson, Abdalla Ugas, Nathan Karg, Hayden Harper
Uc-029 Graphbat: Subterranean Data Visualizer, Caroline Roberson, Abdalla Ugas, Nathan Karg, Hayden Harper
C-Day Computing Showcase
GraphBat is a desktop data visualization application designed for speleology and similar fields that bundles common graph types with a unique heatmap tool which few comparable apps provide. It was developed in Python and is intended as an open-source tool available for use and extension by the scientific community. The heatmaps offer two data interpolation methods—inverse distance weighting and linear interpolation—to visualize the spread of data across a space using a real-world map and sensor data relative to the space. GraphBat aims to expediate scientific analysis and facilitate the presentation of results across many fields of subterranean study.
Uc-046 Cat Classification Of 20 Distinct Breeds, Tabitha Washington, Ashley Nestor
Uc-046 Cat Classification Of 20 Distinct Breeds, Tabitha Washington, Ashley Nestor
C-Day Computing Showcase
Cat breed classification algorithms have been made time and time before due to cats being such a popular and beloved animal. As such, classification algorithms aim to identify their breeds for veterinary pursuits and wildlife tracking which necessitates accurate classification. Our classification algorithm identifies 20 different CFA-recognized pedigreed cat breeds utilizing TensorFlow with the MobileNetV3 Large model as the base for training. Our preliminary results over 25 initial epochs and 25 fine tuning epochs resulted in a model with a test accuracy of 65%. In the future, we plan to add more techniques to prevent overfitting and experimenting with a …
Uc-061 From Frustration To Function: Enhancing Usability In Public Transportation, Marcus Harrison, Hong Nguyen, Mohamed Khatib, Austin Krusemark
Uc-061 From Frustration To Function: Enhancing Usability In Public Transportation, Marcus Harrison, Hong Nguyen, Mohamed Khatib, Austin Krusemark
C-Day Computing Showcase
Public transportation apps have recently become an essential tool for helping individuals navigate complex transit systems, however, many users still face issues with usability, accessibility, and reliability. Taking this into consideration, this project aims to evaluate the user experience of these apps and how one in particular can be improved. In doing so, our group hopes to create a more user-friendly experience that can make public transportation easier and more reliable for everyone.
Uc-066 Thought-Memory Model For Multi-Agent Simulation, Nicholas Hodge, Josue Sandoval, Greyson Paschall
Uc-066 Thought-Memory Model For Multi-Agent Simulation, Nicholas Hodge, Josue Sandoval, Greyson Paschall
C-Day Computing Showcase
A 2D web-based multi-agent simulation leverages Large Language Models to model human-like interactions among generative agents. A Thought-Memory system retrieves relevant data and prior memories from a database to construct JSON-style prompts for the LLM, which outputs intended agent actions. The system allows for observable, emergent interactions between agents within the simulated space.
Uc-072 “Command Center, Do You Copy?”, Sawyer Strickland, Ezavier Miller, Max Hardy
Uc-072 “Command Center, Do You Copy?”, Sawyer Strickland, Ezavier Miller, Max Hardy
C-Day Computing Showcase
“Command Center, do you copy?” is a sci-fi themed survival horror game where players must sneak around and fend off an alien like enemy using their flashlight while also trying to find the parts needed to fix their communications system to call for help.
Uc-085 Berry And Carrot - A 2.5d Unity Platformer Game, Everett Joiner, Rin Egl, Carter Griffin, Kcyana Redmon
Uc-085 Berry And Carrot - A 2.5d Unity Platformer Game, Everett Joiner, Rin Egl, Carter Griffin, Kcyana Redmon
C-Day Computing Showcase
In Berry and Carrot, you play as two stuffed animals, a bear and a bunny, who are trying to escape from a claw machine that they have been trapped in for years. Each character has different strengths, and the player must use these skills strategically by switching between the two characters to solve puzzles themed around the inner workings of the claw machine featuring screws, springs, levers, and more.
Uc-092 Cookly.Io - Advanced Recipe Generator, Mikita Slabysh, Evan Valencia, Chris Martinez
Uc-092 Cookly.Io - Advanced Recipe Generator, Mikita Slabysh, Evan Valencia, Chris Martinez
C-Day Computing Showcase
Cookly.io was a passion project started during the AI Club Hackathon where it was awarded 3rd place. Cookly is an AI powered recipe assistant that helps users use available ingredients into delicious meals. Users can input ingredients manually or upload a photo of the pantry or fridge where Cookly will use computer vision to identify the ingredients and SBERT to match the ingredients with the perfect recipe.
Uc-100 Agentic Ai Quiz Generation: Personalized Tutoring Through Intelligent Retrieval And Adaptive Learning, Devananda Sreekanth
Uc-100 Agentic Ai Quiz Generation: Personalized Tutoring Through Intelligent Retrieval And Adaptive Learning, Devananda Sreekanth
C-Day Computing Showcase
This research presents a personalized, agentic AI-powered system for multiple-choice question (MCQ) generation tailored to college-level tutoring in machine learning and software engineering domains. The primary objective is to enhance adaptive learning through reliable, context-aware quiz generation using long-context large language models (LLMs) and modular agent workflows. Our methodology is based on an eight-stage agentic architecture that separates tasks into two main phases: vector indexing and personalized quiz generation. In the indexing phase, academic PDFs are parsed, chunked with LangChain’s RecursiveCharacterTextSplitter, embedded via Google's text-embedding-005, and indexed using FAISS. A verification agent ensures topic alignment and integrity of the vector …
Ur-086 Whole Slide Image Analysis, Pranav Kartha, Jazwaur Ankrah
Ur-086 Whole Slide Image Analysis, Pranav Kartha, Jazwaur Ankrah
C-Day Computing Showcase
Whole Slide Images are used to capture details of patient cells. Hospitals and clinics have different processes and methods to create WSIs resulting in WSIs not being standardized. Different file formats are used and different colors are used to represent different features. The normalization process helps set up the WSI into a format that the current model can easily process.
Ur-099 Empowering Mental Wellness: A Comprehensive Study And Design Of A Predictive System For Early Mental Health Intervention, Anh Duong
C-Day Computing Showcase
Mental health is an essential part of living a balanced and fulfilling life, but it is often overlooked compared to physical health. While physical health is important for performing daily activities, mental health plays a crucial role in how we manage stress, build connections, and make decisions. Previous research studies have shown that nearly 60 million Americans experienced a mental illness in 2024, yet there were only 340 people for every one mental health provider in the U.S. Furthermore, young adults aged 18–25—who are the most digitally connected generation—suffer from the highest rates of severe mental illness yet are the …
Ur-114 K86: 16-Bit Computer Design, Optimization, And Implementation, Calvin Crose, Juan Ferreira, Brendan Moore, Caleb Oglesby, Jack Vega
Ur-114 K86: 16-Bit Computer Design, Optimization, And Implementation, Calvin Crose, Juan Ferreira, Brendan Moore, Caleb Oglesby, Jack Vega
C-Day Computing Showcase
This research focused on the implementation of modern computing systems by designing and simulating a 16-bit RISC-based ISA computer. The computer is built on a Von Neumann memory architecture with 1024×16-bit word-addressable space and a 6-bit ISA with 36 implemented instructions. The central processing unit (CPU) includes a control unit (CU) that automatically drives the fetch-decode-execute (FDE) cycle, four addressable general-purpose registers (GPRs), and an Arithmetic Logic Unit (ALU) comprising 21 operations and producing four flags. We validated the system by executing Euclid's GCD algorithm, generating the binaries with a custom assembler written in Python.
Ur-112 Monarch: A Privacy-Focused Nlp Model For Emotional Pattern Detection, Tyler Clanton, Derick Burbano-Ramon
Ur-112 Monarch: A Privacy-Focused Nlp Model For Emotional Pattern Detection, Tyler Clanton, Derick Burbano-Ramon
C-Day Computing Showcase
Introducing: Monarch — a privacy-focused deep learning model that interprets emotional patterns in text. Monarch is trained on large, lexicon-based datasets and uses fine-tuned NLP models (BERT) to identify patterns associated with sadness, worry, anger, and distress. It runs entirely offline with no data collection, making it ideal for private use. Monarch evaluates text and returns clear, readable probability scores across emotional categories, giving users insight into emotional trends. Monarch is interpretive, not diagnostic, displaying results based on scientifically backed linguistic patterns. Its potential use in schools could help flag early signs of distress, giving educators a chance to support …
Uc-130 Some Kind Of Tundra Escape, Tiffany Field, Patrynna Mensah, Tahjir Beene, Daniel Worrel
Uc-130 Some Kind Of Tundra Escape, Tiffany Field, Patrynna Mensah, Tahjir Beene, Daniel Worrel
C-Day Computing Showcase
Some Kind of Tundra Escape is an action-adventure game where you play as a penguin trying to escape a vast, walled-in tundra. As you explore, you’ll rescue other penguins scattered throughout the area. Your goal is to gather all the penguins and escape together, but the journey is far from easy. The tundra is full of danger, including snowmen who ambush you and ice golems who patrol certain areas. You'll need to avoid these monsters and set traps to stay safe while rescuing your fellow penguins. As your group grows, so does the challenge—more penguins means more obstacles to overcome. …
Ur-017 Sherlock: Self-Supervised Histopathological Evaluation For Recognition Of Lymphocytes And Other Cancerous Kinds, Charles Pagano
Ur-017 Sherlock: Self-Supervised Histopathological Evaluation For Recognition Of Lymphocytes And Other Cancerous Kinds, Charles Pagano
C-Day Computing Showcase
Whole Slide Images (WSI) are gigantic images (e.g. 100k x 100k pixels) of tissue samples. The goal of SHERLOCK is to detect cancer cells in those tissue samples. We do this by using a pretrained Masked Autoencoder (MAE), from Facebook’s research lab, that we finetune on the PanNuke dataset. The benefit of using an MAE is that unlike supervised learning the WSI’s don’t need to be labeled. This is important because it will save a lot of time and money that would be spent on labeling WSI’s.
Ur-018 Towards Bounding The Behavior Of Deep Neural Networks, Aidan Boyce
Ur-018 Towards Bounding The Behavior Of Deep Neural Networks, Aidan Boyce
C-Day Computing Showcase
Recent advances in Artificial Intelligence (AI) have unlocked many new possibilities but have also brought with it many new challenges. While modern AI systems have been continuously exceeding expectations, our ability to interpret and understand their behavior lags behind. For example, an AI model trained to detect pneumonia from X-rays may fail in new hospitals because it learned to recognize hospital logos instead of medical patterns. Why do some succeed while others fail? Do they truly understand their tasks, or are they relying on patterns that may not always hold? To enumerate the most informative explanations of a neuron’s behavior, …
Ur-047 Empathetic Vr Classroom, Seth Brice
Ur-047 Empathetic Vr Classroom, Seth Brice
C-Day Computing Showcase
We used a virtual reality classroom setting to investigate how accurately humans can determine the emotional state of NPC avatars based on nonverbal body language. Volunteers presented a topic in front of several virtual agents, who would respond with a gesture that reflected their current emotional state, giving the presenter the opportunity to physically and emotionally respond to these changes.
Ur-063 K86: 16b Computer And Assembler Design And Implementation, Vera Warren-Aliff, Ethan Dingle
Ur-063 K86: 16b Computer And Assembler Design And Implementation, Vera Warren-Aliff, Ethan Dingle
C-Day Computing Showcase
With this project, we designed a general-purpose 16-bit RISC+CISC computer architecture, alongside an assembler, instruction embedder, and preliminary compiler. Our computer architecture, K86 (Kennesaw 86), is inspired by the Intel x86 and ARM architectures that have enabled computing systems to perform many of the modern functionalities we rely on today. To allow for fluid programming and processing, KASM (Kennesaw Assembler) translates assembly code into machine instructions which will be stored in the computer memory by the embedder. With the addition of a preliminary compiler to produce assembly from high-level source code, our project defines much of the foundation of a …
Analysis Of Cybersecurity Threats And Mitigation Strategies: Theory In To Practice, Project Proposal, Fransly Dutervil
Analysis Of Cybersecurity Threats And Mitigation Strategies: Theory In To Practice, Project Proposal, Fransly Dutervil
Student Academic Conference
Cybersecurity threats pose significant risks to individuals and organizations, leading to data breaches, financial losses, and operational disruptions. This presentation explores key threats such as malware, phishing, DDoS attacks, insider threats, and zero-day exploits. It also discusses mitigation strategies, including network security measures, multi-factor authentication, encryption, and incident response planning. Through case studies of real-world cyber incidents, we highlight lessons learned and best practices to strengthen security defenses. The goal is to enhance awareness and promote proactive cybersecurity measures in an increasingly digital world.
Simulation-Based Design Optimization Of Active-Control Rocket Canards In Subsonic Flight, Simon Babcock, Christopher Jaus, Evan Carmello, Judah Finley, Kaelyn Haynie, Robert Rivera, Samuel Worthington, Zizai Liu
Simulation-Based Design Optimization Of Active-Control Rocket Canards In Subsonic Flight, Simon Babcock, Christopher Jaus, Evan Carmello, Judah Finley, Kaelyn Haynie, Robert Rivera, Samuel Worthington, Zizai Liu
Liberty University Research Week
Rocket canards are small, vertical control surfaces located above a rocket's main rear fins, typically just below the nosecone, providing active-control maneuverability during flight. When an internal mechanism rotates the canards about their center relative to the rocket air frame, they achieve an angle of attack and produce a lifting force perpendicular to the airflow and tangential to the curvature of the air frame. This lifting force causes a moment relative to the rocket's center of gravity along both the roll and pitch axes, which can be used to stabilize the rocket mid-flight by providing corrective adjustments to the rocket's …
Steganography In Svg Image Files, Tyler Garrett, Christopher Jaus, Kaelyn Haynie
Steganography In Svg Image Files, Tyler Garrett, Christopher Jaus, Kaelyn Haynie
Liberty University Research Week
This research discusses the practical application of steganography within the missionary field. Steganography has had many variations throughout history and has shown promise in the modern era. This research specifically looks into the use of steganography within Scalable Vector Graphic (SVG) image files. The presented research will briefly introduce steganography, provide historic examples of steganography, explain how it can be used within the context of SVG images, and discuss the modern application to the missionary field.
Effectiveness Of A Gait Assessment Model In Enhancing Understanding And Learning In Healthcare Education, Seema Saini, Arsh Shikalgar, Neelam Tejani, Tushar J. Palekar, Praveen Kumar
Effectiveness Of A Gait Assessment Model In Enhancing Understanding And Learning In Healthcare Education, Seema Saini, Arsh Shikalgar, Neelam Tejani, Tushar J. Palekar, Praveen Kumar
Internet Journal of Allied Health Sciences and Practice
Background: Traditional teaching models often fail to adequately convey the complexities of concepts such as gait analysis, a cyclic biomechanical process. This study introduces and evaluates a gait assessment system device as an educational model for healthcare students. The system aims to enhance learning through active experimentation with educators, focusing on teaching fundamental concepts like torque, potential energy, and kinetic movements. Methodology: A total of 80 fourth-year healthcare students specializing in physiotherapy participated in this study. The primary educational approach employed was the gait assessment model, designed to enhance understanding of basic biomechanical concepts such as torque, potential energy, and …
White Pupil Fibre-Fed Echelle Spectrograph Of The Russian-Turkish 1.5 M Telescope: Optical Design And Analysis, Cevdet Bayar, Nuri̇ Unal
White Pupil Fibre-Fed Echelle Spectrograph Of The Russian-Turkish 1.5 M Telescope: Optical Design And Analysis, Cevdet Bayar, Nuri̇ Unal
Turkish Journal of Physics
This study presents optical designs of two fibre-fed èchelle spectrographs (FES), which differ from each other in terms of cross-dispersers, and optical analyses of the spectra (orders) obtained from the designs. Optical analyses of both designs were performed by interpreting the results obtained from the spot diagram, footprint diagram, and encircled energy diagram in the ZEMAX (OpticStudio) optical design program. In the first spectrograph design, prisms were used as the cross-disperser. Specifically, two symmetric N-F2 glass prisms with 42-degree apex angles were used as the cross-disperser. In the second design, a grism was used as the cross-disperser. This grism was …
Snapshots Issue 20: Effort In Pisa: Insights From Recent Data, Lisa De Bortoli
Snapshots Issue 20: Effort In Pisa: Insights From Recent Data, Lisa De Bortoli
Snapshots
This issue of Snapshots explores how student effort may vary depending on the perceived stakes of the assessment. We revisit the self-reported levels of effort that students invested in the PISA test and compare them with the effort they indicated they would have made if the results counted towards their school marks. Australia’s results are compared with 21 of the 81 comparison countries and economies that participated in PISA 2022,1 providing a context for understanding Australia’s position in the global education landscape. We then examine effort in PISA among different demographic groups within Australia, which can influence how students approach …
April 15, 2025, Council On Graduate Studies
Approved Programs 4-15-25, Angela Brock
Ai Assistance In Legal Analysis: An Empirical Study, Johnathan H. Choi, Daniel Schwarcz
Ai Assistance In Legal Analysis: An Empirical Study, Johnathan H. Choi, Daniel Schwarcz
Journal of Legal Education
No abstract provided.
An Empirical Analysis Of The Impact Of Student-Faculty Demographics On Law School Graduate Attrition, Attrition Rates, J.D.S Awarded, And Bar Passage, Paola Cecchi Dimeglio
An Empirical Analysis Of The Impact Of Student-Faculty Demographics On Law School Graduate Attrition, Attrition Rates, J.D.S Awarded, And Bar Passage, Paola Cecchi Dimeglio
Journal of Legal Education
No abstract provided.
Rotating Anisotropic Bose Gas With Large Number Of Vortices, Ahmet Keleş
Rotating Anisotropic Bose Gas With Large Number Of Vortices, Ahmet Keleş
Turkish Journal of Physics
Rapidly rotating atomic gases provide a platform for studying phenomena akin to type-II superconductors and quantum Hall systems. Recently, these systems have attracted renewed interest due to technological advances in the trap anisotropy control, in-situ observation capabilities, and cooling and rotating complex atomic species such as dipolar gases. Understanding the vortex lattice formation and quantum melting is crucial for exploring quantum Hall physics in these systems. In this paper, we theoretically investigate the vortex lattices in anisotropic quantum gases. We formulate the rotating gas Hamiltonian in the Landau gauge, and consider the effects of additional perturbations such as the trap …