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Gmr-229 Semantic Search Using Sentence Transformers, Roshni Satish, Arpana Challa Nov 2024

Gmr-229 Semantic Search Using Sentence Transformers, Roshni Satish, Arpana Challa

C-Day Computing Showcase

Traditional keyword-based search engines struggle to accurately capture the semantics of user queries in today's enormous digital resources. Our research study focuses on creating a semantic search engine that uses Sentence Transformers to improve information retrieval by understanding the context of queries and documents. Our method creates sentence embeddings for documents and user queries, allowing retrieval based on semantic similarity rather than keyword matching. The project involves data collection and preprocessing, feature extraction with Sentence Transformers, and implementation of a search engine that ranks documents based on cosine similarity to query embeddings. According to preliminary testing, this method greatly improves …

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Gmc-130 School Bus Monitoring Simulation W/ Apache Kafka, John Blake, Hudson Topping, Eun Sik Kim, Tiep Bui, Julio Lois Nov 2024

Gmc-130 School Bus Monitoring Simulation W/ Apache Kafka, John Blake, Hudson Topping, Eun Sik Kim, Tiep Bui, Julio Lois

C-Day Computing Showcase

Our project is a proof-of-concept of event-streaming bus telemetry data using Apache Kafka (Kafka), as requested by our client, Gwinnett County Public Schools (GCPS). The Kafka event stream is more efficient than GCPS’s current process of pulling bus telemetry data: calling APIs every 5 seconds. Moving to Kafka will provide GCPS near real-time insights into bus locations and speeds, giving visibility to whether buses drive safely and punctually. Our simulation produces synthetic bus data to be passed through Kafka and consumed. It features two UIs for system monitoring and data visualization.

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Gmc-241 Gta Request / Hiring Management, Vineetha Madasu, Pavan Kalyan Mandapaneni, Tharun Derangula, Thushara Thotakura, Raghurama Reddy Nambuvaripalli Reddappa Nov 2024

Gmc-241 Gta Request / Hiring Management, Vineetha Madasu, Pavan Kalyan Mandapaneni, Tharun Derangula, Thushara Thotakura, Raghurama Reddy Nambuvaripalli Reddappa

C-Day Computing Showcase

The Graduate Teaching Assistant (GTA) Management System is designed to address inefficiencies in the GTA hiring and assignment process at the departmental level. This full-stack web application utilizes modern Python frameworks such as Flask for backend development, providing a robust and scalable foundation for data handling and business logic. The frontend is developed using HTML, CSS, and JavaScript, ensuring an intuitive and responsive user experience. Key features include user access, automated GTA request generation based on course catalog data, and real-time tracking of hiring progress. By integrating data import capabilities from sources like Owl Express via Excel, the system handles …

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Gmr-165 An Empirical Study Of Prompt-Based Non-Functional Requirements Classification, Allen Kim Nov 2024

Gmr-165 An Empirical Study Of Prompt-Based Non-Functional Requirements Classification, Allen Kim

C-Day Computing Showcase

In modern software development, Non-Functional Requirements (NFR) are essential to satisfy users’ needs. Distinguishing different categories of NFR is tedious, error-prone, and time consuming due to the complexity of software systems. In our project, we conducted a comprehensive study to evaluate the performance of prompt-based NFR classification by designing various handcraft templates and soft templates on the pre-trained language model (i.e., BERT). Our experimental results show that handcraft templates can achieve best effectiveness (e.g., 83.52% in terms of F1 score) but with unstable performance for different templates.

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Gpr-2238 Tech Guru: A Domain Specific Llm For Tech. Industry​, Francis E Nweke, Long Vu, Nitin Jha Nov 2024

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, …

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Uc-156 Swap - A Solo Developed Fps Game, Noah G Schultz Nov 2024

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.

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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 Nov 2024

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 …

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Uc-176 Cybriant: Attack Surface Management, Diwakar Rai, Nicholas Agyen-Frempong, David Laurent, Daniel Gutierrez, Jose R Mendoza Nov 2024

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.

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Uc-180 Intelligent Object Retrieval Using Mobile Manipulator, Zhiwen Zheng, Ellie Ireland Nov 2024

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 …

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Uc-231 Symptom-Based Disease Prediction, Jarred M Barber, Kody Clark, Ryan Mwangi, Zhiwen Zheng Nov 2024

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.

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Ur-147 An 8-Bit Digital Computer Design & Implementation (Team Coa-Wm1), Adrian L Sherard, Jesus Flores, Biswash Lamsal, Blake Hammontree, William Pitts Nov 2024

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

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Gmc-4190 Cellnucleirag - Smart Search Tool For Cell Nuclei Research, Sai Chandana Koganti Nov 2024

Gmc-4190 Cellnucleirag - Smart Search Tool For Cell Nuclei Research, Sai Chandana Koganti

C-Day Computing Showcase

CellNucleiRAG is a specialized tool developed to address a significant challenge in medical research: the rapid retrieval and synthesis of detailed information on cell nuclei. Understanding cell nuclei characteristics is crucial in fields like pathology, oncology, and diagnostics, where detailed cell analysis can guide disease identification and treatment planning. However, accessing relevant, organized information on specific cell nuclei types, datasets, models, and methods is often time-consuming, requiring manual searches through multiple, disparate sources. CellNucleiRAG solves this problem by acting as a smart search engine, designed specifically for cell nuclei research, combining traditional retrieval methods with advanced AI capabilities. Built with …

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Gmr-210 Cogni-Resource: Ai-Driven Reflective Feedback Analysis For Enhanced Learning Insights And Resource Discovery, Ashrith Kumar Devara Nov 2024

Gmr-210 Cogni-Resource: Ai-Driven Reflective Feedback Analysis For Enhanced Learning Insights And Resource Discovery, Ashrith Kumar Devara

C-Day Computing Showcase

Cogni-Resource is a unified platform enhanced by AI that merges the introspective analysis of Cogni-Reflect with the precise resource exploration functions of the Learning Resource Finder, providing a holistic tool to improve educational environments. The Cogni-Reflect component uses advanced Large Language Models (LLMs) to examine student reflections, giving educators instant insights into learning results, difficulties, and areas where students may require extra assistance. Cogni-Reflect allows instructors to adjust their teaching by analyzing key themes and topics in reflective narratives, leading to a more adaptive and successful learning atmosphere. Using both web scraping and OpenAI API integration, the Learning Resource Finder …

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Gmr-8193 Harnessing Ml-Powered Hpcc Systems For Advanced Cybersecurity Analytics, Zularbine Kamal Nov 2024

Gmr-8193 Harnessing Ml-Powered Hpcc Systems For Advanced Cybersecurity Analytics, Zularbine Kamal

C-Day Computing Showcase

Information security in the era of AI and automation is the biggest challenge for cybersecurity professionals. Traditional information security protection has limitations in detecting zero-day attacks, which can be overcome with machine learning-based information security. An ML-powered intrusion detection system uses statistical analysis to spot deviations from normal behavior and helps to detect new and unknown threats. This poster will demonstrate how an open-source platform can be used for cybersecurity by leveraging various machine-learning algorithms.

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Uc-134 Volunteer Management System For Angels Among Us, Prince Duepa, Teodora Stoyanova, Radoslav Stoyanov, Madison W Jones, Rodrigo X Caballero Nov 2024

Uc-134 Volunteer Management System For Angels Among Us, Prince Duepa, Teodora Stoyanova, Radoslav Stoyanov, Madison W Jones, Rodrigo X Caballero

C-Day Computing Showcase

This project focused on creating a Volunteer Management System (VMS) for Angels Among Us (AAU) - a non-profit organization dedicated to rescuing and rehabilitating stray and abandoned animals. This application was developed to: * Handle comprehensive volunteer information * Streamline operations and better manage volunteer data * Support AAU specific use cases * Include a data enrichment capability through a newly developed GUI * Allow authorized users to add more comprehensive information to each volunteer record * implement reporting throughout the data migration process

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Uc-223 Cybersecurity Website Hardening Project, Robin N Tandongfor, Jack W Pursley, Elijah Vandorn, Kylah Wilson, Valentine P Wairimu Nov 2024

Uc-223 Cybersecurity Website Hardening Project, Robin N Tandongfor, Jack W Pursley, Elijah Vandorn, Kylah Wilson, Valentine P Wairimu

C-Day Computing Showcase

The project aims to secure the Akwaaba website using Apache, MariaDB, Red Hat OS, and PHP on a virtual machine. It includes assessing assets and vulnerabilities, implementing security policies, and conducting a red/blue team exercise for ethical hacking experience.

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Uc-247 Using Dynamic Difficulty Adjustment (Dda) To Improve Health And Wellness Apps And Programs, Fernando Orfila Nov 2024

Uc-247 Using Dynamic Difficulty Adjustment (Dda) To Improve Health And Wellness Apps And Programs, Fernando Orfila

C-Day Computing Showcase

Physical inactivity, obesity and Type 2 Diabetes cost the United States’ economy more than $700 billion a year (CDC). Yet, individuals spend $137 billion dollars a year on gym memberships to get in shape and feel better, without attaining results and dropping out. “…63% of new members will abandon activities before the third month, and less than 4% will remain for more than 12 months of continuous activity.” (Sperandei et al). The personal training apps don’t fare better, with 71% of users disengaging within 90 days (Amagai et al). The higher chances of people dropping out are due to "a …

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Automating Modular Construction Manufacturing For Affordable Housing, Enaam Mohammed Ouda Nov 2024

Automating Modular Construction Manufacturing For Affordable Housing, Enaam Mohammed Ouda

Thesis/ Dissertation Defenses

In recent years, there has been an increase in the frequency and intensity of natural disasters worldwide, resulting in loss of life, displacement, and extensive property damage. According to the UNHCR's report, 89.3 million individuals were displaced in 2021, highlighting that the speed and volume of displacement exceeds the availability of solutions for those affected. To address the urgent need for affordable housing solutions, modular construction is preferred over traditional construction methods as it tackles limitations such as long project durations, high costs, and safety and environmental concerns. Integrating advanced technologies in modular construction can further enhance its benefits and …

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Improving Students’ Cognitive Abilities In Remote Learning Environment Using Brain Computer Interface And Eye-Tracking, Nuraini Jamil Nov 2024

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 …

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U.S. Africa Command & Security Assistance To Fragile States, Joseph Kinyanjui Nov 2024

U.S. Africa Command & Security Assistance To Fragile States, Joseph Kinyanjui

The Dialogue

Joseph Kinyanjui evaluates the role of U.S. Africa Command (AFRICOM) in addressing security issues in Africa. The paper discusses whether AFRICOM's operations contribute to militarization and state fragility or effectively enhance stability through capacity building​

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Free Trade And Covid-19, Audrey Mcclure Nov 2024

Free Trade And Covid-19, Audrey Mcclure

The Dialogue

Audrey McClure investigates the implications of globalization and trade liberalization in the context of the COVID-19 pandemic. The paper highlights the economic benefits and domestic challenges of free trade, examining the disruptions in global supply chains and the political resistance to globalization during the crisis

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Cooptation: The Backseat Driver Of Competitive Communism, Candace Warner Nov 2024

Cooptation: The Backseat Driver Of Competitive Communism, Candace Warner

The Dialogue

Candace Warner analyzes the Chinese Communist Party's (CCP) strategy of cooptation in fostering economic growth while maintaining political control. Using the Chinese automotive industry as a case study, the paper explores how the CCP's support for private entrepreneurs and strategic partnerships has promoted rapid growth but also perpetuated inefficiencies and corruption. Warner argues that this approach, while beneficial in the short term, may undermine China's long-term economic sustainability​

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Chinese Defense Acquisition: Domestic Development, International Trade, And Foreign Relations, Tracy Nelson Nov 2024

Chinese Defense Acquisition: Domestic Development, International Trade, And Foreign Relations, Tracy Nelson

The Dialogue

Tracy Nelson explores the evolution of China's defense acquisition policies and their impact on the nation's military strategies. The paper examines domestic challenges, reliance on foreign technologies, and the implications of modernized military capabilities for China's global aspirations​

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Red-Handed: Assessing The Deptha Of Chinese Economic Espionage, Alexander Hoskins Nov 2024

Red-Handed: Assessing The Deptha Of Chinese Economic Espionage, Alexander Hoskins

The Dialogue

Alexander Hoskins investigates China's involvement in economic espionage (EE). The paper differentiates EE from industrial espionage and competitive intelligence gathering, highlighting the significant global impact of China's alleged theft of intellectual property, which has economic and geopolitical consequences

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Melba Padilla Maggay, A Clash Of Cultures: Early American Protestant Missions And Filipino Religious Consciousness, Brian Paul Giron Nov 2024

Melba Padilla Maggay, A Clash Of Cultures: Early American Protestant Missions And Filipino Religious Consciousness, Brian Paul Giron

Budhi: A Journal of Ideas and Culture

Melba Padilla Maggay, A Clash of Cultures: Early American Protestant Missions and Filipino Religious Consciousness

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Rizal And Science: A Struggle For Faith, Reason, And Knowledge, Michael L. Tan Nov 2024

Rizal And Science: A Struggle For Faith, Reason, And Knowledge, Michael L. Tan

Budhi: A Journal of Ideas and Culture

Much of what has been written about Jose Rizal focuses on his political thinking, with side references to his numerous accomplishments in the arts and letters, in science, technology, and medicine. in this essay, i choose to focus on Rizal the scientist, both in the sense of someone searching for knowledge as well as someone employing scientific methods to the study of society. i use Rizal’s writings, including correspondence with family and friends and a former Jesuit mentor, Father Pablo Pastells; his “letter to the Women of Malolos”; his essay “indolence of the Filipinos”; and his novel Noli Me Tangere …

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The Supreme Court Sack[Ler]S Third-Party Releases In Chapter 11: Should Congress Seize The Cudgel?, Lawrence Ponoroff Nov 2024

The Supreme Court Sack[Ler]S Third-Party Releases In Chapter 11: Should Congress Seize The Cudgel?, Lawrence Ponoroff

William & Mary Law Review Online

On June 27, 2024, the Supreme Court issued its ruling in Harrington v. Purdue Pharma L.P., holding that nonconsensual third-party releases included in a Chapter 11 plan of reorganization, other than one relating to asbestos liability claims, were impermissible under the federal Bankruptcy Code. The releases at issue would have immunized members of the Sackler family, who controlled Purdue Pharma, from liability in connection with the company’s role in the opioid crisis. The Sacklers represent the epitome of the unpopular litigant, so no tears need be shed for them. In a sense, they just received a dose of their …

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Drone Vs. Drone, Mariah Smith Nov 2024

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 …

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Executive Committee - Agenda, 11/19/2024, Academic Senate Nov 2024

Executive Committee - Agenda, 11/19/2024, Academic Senate

Academic Senate Agendas

No abstract provided.

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Improving Data Curation With Spectral Clustering And Shannon Entropy: An Unsupervised Approach Within The Data Washing Machine, Erin Hathorn Nov 2024

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 …

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