Digital Commons Network^™

Reemergence Of Street Planning In Yafo (Jaffa): The Late Ottoman Ha-Ẓorfim Compound, Yoav Arbel

'Atiqot

In the second half of the nineteenth century, Yafo (Jaffa) was a rapidly changing town, reemerging from centuries of stagnation. While the mound retained its unappealingly medieval character, new neighborhoods sprouted up around it, replacing the orchards and fortifications. Urban development demanded access and connections, which were ensured with the construction of broad new throughways, with stone paving and drainage systems not seen in Yafo since antiquity. All this development naturally lured traders, officials and diplomats to build their mansions and businesses along these thoroughfares. One of these was the presently named Ha-Ẓorfim (“The Jewelers”) Street, on the eastern outskirts …

Umayyad Streets Leading To The Temple Mount/Al-Ḥaram Al-Sharīf Gates In Jerusalem: Evidence Ofurban Planning, Control And Ideology, Yuval Baruch

'Atiqot

At the beginning of the eighth century CE, the Umayyad rulers initiated the construction of an extensive governmental complex at the foot of the Temple Mount/al-Ḥaram al-Sharīf, comprising at least four impressive monumental buildings. The present study shifts the focus from the architecture of these structures to the street system of the complex, arguing that it functioned not merely as infrastructure but as a sophisticated mechanism of movement and control. These streets, laid out along carefully planned axes and constructed atop artificial fills, employed wide, controlled gates and specific lines of sight to dictate a continuous experiential sequence. Through the …

A Network (Capita Viarum) Of Roads, Bridges And City Gates Connecting To The Colonnaded Streets Of Roman-Period Nysa-Scythopolis: Evidence Of Efficient Traffic Planning, Walid Atrash, Gabriel Mazor

'Atiqot

This article investigates the strategic importance of Nysa-Scythopolis (Bet She’an) as a key transportation and urban center during the Roman and Byzantine periods. Located at a critical junction between the Jordan Valley and the central mountain ridges, the city comprised a complex network of regional roads and monumental gates, facilitating both local and imperial mobility. This study focuses on three of five major Roman gates—Aelia Capitolina, Gerasa, Neapolis, Damascus and Caesarea—each aligned with major intercity arteries, as well as on the construction of two Roman bridges crossing Naḥal Ḥarod, Jisr el-Khan and the skew bridge Jisr el-Maktu‘a. Gate typologies are …

Roads To The Holy City: An Integrated Archaeological And Spatial Analysis Of Access Routes Leading To Jerusalemin The Second Century Bce–Seventh Century Ce, Yosef Spiezer, Boaz Zissu, Yehiel Zelinger

'Atiqot

This study presents a comprehensive analysis of Jerusalem’s transportation network by integrating archaeological evidence from rescue excavations with Geographic Information Systems (GIS)-based spatial analysis and literary sources. Three distinct development phases were observed. In the Hasmonean and Early Roman periods (63 BCE–70 CE), roads primarily served Jewish pilgrimage and were accompanied by religious infrastructure such as miqwa’ot (ritual baths), water reservoirs and elaborate tombs reflecting Jerusalem’s sacred status. In the Middle and Late Roman periods (70–324 CE) systematic road construction followed the Jewish revolts, emphasizing military and administrative functions through straight, paved routes marked with milestones, including forts, watchtowers, water …

The Roman Legionary Base At Legio As Capita Viarum And Its Role In The Development Of The Roman Imperialroad Network In Northern Israel, Yotam Tepper

'Atiqot

Roman Imperial roads were typically paved in a standardized manner by the engineering corps of the Roman army to enable continuous movement in all weather and terrain conditions, for wheeled transport and pedestrians alike. The roads were constructed from specific points of origin to designated destinations and served the Roman army and administration. Milestones were placed along the roads at fixed intervals, some of which bear inscriptions that provide information concerning their location along the road relative to its starting point and destination, as well as the date of road construction or repair according to the reigns of the Roman …

Eyes To The East: Round Watchtowers Overlooking The Roads Leading From The Jordan Valley To The Kingdom Of Israel In Iron Age Ii, Ron Be’Eri, Avishay Oz, Аlexander Wiegmann, Yael Widerker Hilu, Tzachi Lang

'Atiqot

A small, isolated round tower, dating from the Iron Age, was unearthed near the settlement of Poriyya, overlooking the Jordan Valley. This tower is discussed below together with other, similar Iron Age structures exposed in eastern Samaria, which were built along main roads in the Kingdom of Israel under the initiative of the rulers of the Omride dynasty. It is suggested that these towers commanded the Jordan River crossings and the Gil‘ad Mountains, controlling the routes ascending from the Jordan Valley to the key administrative regions of the Kingdom of Israel. The research presented below considers historical sources dating from …

Global Trends In Dietary Exposure To Polychlorinated Naphthalenes (Pcns): A Review Of Contamination Levels And Health Implications, Vhodaho Nevondo, Okechukwu Jonathan Okonkwo

Engineering and Technology Journal

Polychlorinated naphthalenes (PCNs) belong to a class of persistent organic pollutants that are structurally related to chlorinated dibenzo-p-dioxins, dibenzofurans, and other chlorinated biphenyls as a result of the presence of benzene rings in their respective structures. Additionally, they display high levels of persistence in the environment, bioaccumulative, and dioxin-like toxicities characteristics. Although the production and use of PCNs is either banned or greatly regulated in several countries around the globe, unintentional production in industrial thermal processes and legacy usage have resulted in the ubiquity of these compounds in the environment and the food chain. Several studies have shown various exposure …

Innovative Approach To Enhance The Efficiency Of Building Integrated Photovoltaic Panels Through Automated Cooling And Cleaning Using Condensate Water In Extreme Climates, Ali Hasan Shah

Thesis/ Dissertation Defenses

Photovoltaic (PV) systems in hot and arid climates experience significant performance degradation due to elevated operating temperatures and rapid dust accumulation. Temperature increase alone reduces power output by about 0.4% to 0.5% per degree Celsius above rated conditions. In desert regions, module temperature commonly exceeds standard conditions, which results in power loss above 10%. Dust accumulation adds further degradation, and field measurements report soiling losses above 1% per day without cleaning, with cumulative losses exceeding 20% within short exposure periods. When high temperatures and dust occur together, the combined effect leads to a severe reduction in energy yield. Current mitigation …

Shelter Portal: Qr-Based Service Tracking For Low-Barrier Shelters, Kate Steele, Colton Knopik, Michael Fischer

2026 Symposium

Shelter Portal is a web-based service tracking application developed for low-barrier shelters, including Catholic Charities’ House of Charity and Rising Strong programs. Many shelters still rely on manual headcounts and estimated meal totals, which are labor-intensive, error-prone, and insufficient for tracking individual service use over time. This limits operational visibility and makes it difficult to generate reliable reports, identify usage trends, and support external reporting requirements. Shelter Portal addresses this problem by providing a more accurate and privacy-conscious way to document shelter services.

The system was designed as a kiosk and web-based platform that uses scannable QR code cards to …

Rethinking Housing Evolution In The Uae: An Investigation Of Sha’Abiat, Socio-Spatial Integration, And Sustainable Urban Development In Al Ain City, Boshra Hassan

Thesis/ Dissertation Defenses

Housing is both a fundamental human need and a core driver of urban form, social life, and cultural continuity. In the United Arab Emirates (UAE), the rapid transformations of the post-oil era were marked by the establishment of the first national housing model, the Sha’abiat, compact, community-oriented neighborhoods that shaped the early urban form of Emirati cities and reinforced social cohesion. Over time, however, housing policies shifted the housing-scape toward private villas, leaving Sha’abiat increasingly challenged by demographic change, maintenance deficiencies, displacement, and demolition under modernization pressures. Despite these challenges, Sha'abiat remains integral to the UAE’s urban identity and provides …

Uc-177-226 Scrapper Kinetics Llc, Mikhail Rudenko, Andrew Torimoto, Jimmy Lock, Marco Cheng

C-Day Computing Showcase

Scrapper Kinetics LLC is a multiplayer and multimodal physics puzzle game. Where players get to choose between playing in VR or Desktop mode, and then, with up to 7 friends (8 players total), try to make a profit in the harsh dead space hulks they have been hired to scrap. We made the game as a test to see how easy it is to have completely different devices interact in the same play space.

Ur-166-204 Multi-User Stem Learning Experience Powered By Llm Conversational Agents, Devon Haynes, Chance Boecker, Oliver Haggard

C-Day Computing Showcase

While Extended Reality (XR) provides experiential and interactive foundations for STEM education, current storytelling and narrative-driven applications often lack responsive nonplayer characters (NPCs), limiting interactive potential through pre-scripted stories. Additionally, despite the growth of Large Language Model (LLM) integration in XR, limited research explores the combined use of multi-user XR systems and conversational Artificial Intelligence (AI) to facilitate real-time, adaptive instruction. This project seeks to address these gaps by 1) Developing a narrative-driven STEM learning XR prototype that incorporates synchronous multi-user interaction and an embedded LLM-driven conversational agent and 2) Exploring the effectiveness of combining these technologies to improve learning …

Gc-113-125 Carter’S Lake Visitor Center Boating Safety Game, Hunter Blake, Chancelor Brown, Lauren Robbins, Will Bryant, Kendrick Bryant

C-Day Computing Showcase

The Boating Safety Game is an educational, kiosk-based touchscreen game created for the U.S. Army Corps of Engineers and the Carters Lake Visitor Center. It is designed to improve the knowledge and engagement of boating safety concepts for visitors, particularly for students and youth. The project was developed using multiple game scenarios meant to reinforce safe boating practices through tutorial scenes, top down navigation, life jacket and required item selection tasks, and player motivation through quizzes, feedback, scores, and a star ranking system. The game’s design emphasizes accessibility and retention through simple touchscreen interaction, guided instruction, and repeated feedback on …

Gc-161-210 Hybrid Path Planning Using Genetic Algorithm, Caitlin Tigani, Ramisa Fariha Joyee, Wasif Mohammad

C-Day Computing Showcase

This research investigates whether uninformed search (BFS) or informed search (A*) is more effective when combined with a Genetic Algorithm for maze path planning. We design and implement four algorithms: baseline BFS and A*, hybrid GA+A*, and hybrid GA(BFS+A*). Our findings show that while A* alone performs optimally, integrating it with GA can produce alternative quality solutions, though with computational trade-offs. The study demonstrates that GA+A* provides the best balance between solution quality and runtime efficiency.

Gc-178-191 Communication App: Ai-Assisted Aac Platform​, Alex Wills, Maryam Koya

C-Day Computing Showcase

The Communication App is an accessibility-focused mobile application designed to support individuals with speech impairments, strong or unrecognized accents, and neurodivergent communication needs. The system leverages AI assisted speech-to-text (STT) and text-to-speech (TTS) technologies to enable real-time and seamless communication between users.This project aims to bridge communication gaps by providing a customizable, adaptive platform that learns user speech patterns over time. The application integrates cloud-based services, secure communication protocols, and an intuitive user interface to ensure usability, performance, and accessibility.

Grm-012-173 Can You Trust Ai Code? Understanding And Detecting Breaking Changes Using Llms, K M Ferdous, Kowshik Chowdhury

C-Day Computing Showcase

AI-generated code is increasingly prevalent in software engineering practices, yet its reliability in preserving backward compatibility remains underexplored. This paper presents a unified study of (i) how often AI-generated code introduces breaking changes and (ii) whether large language models (LLMs) can detect such changes from commit-level diffs with explanations. We analyze 7,191 agent-generated and 1,402 human-authored pull requests from Python repositories using an AST-based approach to identify potential breaking changes. Our results show that AI agents introduce fewer breaking changes overall than humans (3.45% vs. 7.40%) in code generation tasks. However, agents show higher risk in maintenance tasks, where refactoring …

Grm-095-230 A Multimodal Llm Framework For Automated Construction Blueprint Analysis With Real-Time Decision Support, Muhammad Awais Arshad

C-Day Computing Showcase

This study addresses the high hallucination rates of Vision-Language Models (LLMs) when analyzing complex, hybrid construction blueprints. We developed a dual-input pipeline that pairs high-resolution images with a four-layer JSON "Digital Twin" (vector text, raster OCR, geometry) to mathematically ground the LLM's visual interpretation. Key Engineering Achievement: We processed a massive 137-sheet civil engineering project with zero errors. By introducing a multi-tier JSON pruning strategy, we cut token usage by up to 70% and processed the entire batch from $13-$15 to just $0.93. Decision Support Extension: We integrated real-time traffic data (TomTom) and GDOT procedural policies to transform the pipeline …

Grp-163-229 Emotion Elicitation Via Empathic Ai (E-Ai) Agent Teacher In Vr Classroom, Arpita Paul

C-Day Computing Showcase

How emotions influence learning experiences in virtual reality (VR) remains unclear. To address this gap, we investigated the impact of emotionally elicited lectures on learners’ experiences and outcomes in a pedagogical VR classroom using a between-subjects design with two emotional conditions (positive vs. negative). Emotional cues were delivered by a virtual agent (VA) teacher through bodily gestures and verbal expressions during lecture delivery. In a user study (N=34), we collected multimodal data, including neurophysiological measures such as electroencephalography (EEG), galvanic skin response (GSR), heart rate (HR), heart rate variability (HRV), skin temperature, and eye gaze, along with self-reported emotion, learning …

Uc-082-216 Ai Driven Guest Support For Vacationsforyou​, Cassidie Grogan, Kendal Elison, Benjamin Dulcio, Ezra Begashaw, Wilfred Faltz

C-Day Computing Showcase

The AI Guest Support Assistant is a proof-of-concept, web-based chatbot designed to streamline guest support for a high-volume vacation rental operation. The system leverages a Large Language Model (LLM) combined with a Retrieval-Augmented Generation (RAG) approach to deliver accurate, context-aware responses to common guest inquiries, such as reservation details and check-in times. Built using a React frontend and a FastAPI backend, the platform integrates securely with the StreamlineVRS property management system. The solution aims to reduce call center workload by automating repetitive inquiries while maintaining a clear escalation path for more complex requests. This project evaluates the feasibility, usability, and …

Uc-098-187 Zero-Inflated Poisson Modeling Of Ncaa Postseason Awards, Charles Lane, Kyle Bresko, Kaleb Treang

C-Day Computing Showcase

Our project focuses on predicting postseason awards for NCAA Men's College Basketball which can be difficult to model given that less than 15% of players in a given season win awards. After evaluating basic models, we selected a Zero-Inflated Poisson (ZIP) model to account for most players receiving zero awards. We identified free-throw attempts as being the best predictor for the structural zeros present in who can win an award. The final ZIP model produced better evaluation metrics than other basic models. Accounting for structural zeros allowed us to better model how on court statistics can translate into postseason awards.

Uc-099-189 Spectre, Alexander Tobal, Chris Higgins Jr, Jaylin Reeves, Logan Leichter

C-Day Computing Showcase

Spectre consists of four levels, where players complete various objectives and fight off ghosts while doing so. Our tutorial level introduces players to the mechanics, such as shooting, rear view mirror shooting, walking and jumping. With the rest of the levels focusing on completing objectives in order to progress. The final level culminates in a boss fight, ending the journey. While players explore and complete objectives, enemies drop a currency that players can spend to obtain upgrades. Getting hit by enemies not only reduces the players’ health but also applies debuffs to them making players more cautious of their surroundings. …

Uc-131-162 Physical 8-Bit Cpu, Samuel Hoerner, Aryan Merchant, John Dislen, Kyran Day

C-Day Computing Showcase

This isn’t an app - it’s the machine behind it. A fully functional 8-bit CPU, built from scratch, turning raw signals into real computation. The system combines our custom assembly-to-run, FPGA-driven control unit (CU), discrete transistor Arithmetical Logical Unit (ALU), external memory, and 5 registers to execute programs through a fetch-execute cycle. The result is a tangible computing platform that bridges low-level digital logic with high-level system behavior.

Uc-142-177 Multiplayer Spsu Tub Racing Video Game, William Pitts, William Urvan, Thomas Powell, Joshua Young

C-Day Computing Showcase

Multiplayer Bathtub Racing revives a well-known Southern Polytechnic State University tradition through a digital multiplayer experience built in Unity. The project extends a prior single-player tub racing game by adding online multiplayer

Uc-158-205 Scrappyfin — Ind, Simulated Digital Wallet &​ Fraud Detection Platform, Logan Davis, Dante Galvan, Zahaira Jordan, Avery Bracey, Chris Pham

C-Day Computing Showcase

ScrappyFin is an educational FinTech platform developed in partnership with The Home Depot to simulate a digital wallet system and demonstrate fraud detection techniques. Users can create virtual wallets and perform synthetic transactions in a controlled environment, enabling analysis of financial behavior without real risk. The platform combines rule-based logic with machine learning models to identify suspicious activity, such as unusual transaction amounts or patterns. An admin dashboard provides clear explanations for flagged transactions. ScrappyFin showcases how modern financial systems detect risk while serving as a practical learning tool for software engineering and data-driven applications.

Uc-151-197 Nest: An Ai-Powered Transition Navigator For Aging-Out Foster Youth In Georgia, Stephen Sookra, Tylin Delaney, Brenden Bryant

C-Day Computing Showcase

Each year, approximately 600–700 young people age out of the Georgia foster care system with no permanent family, no housing plan, and no clear guide beyond a 250‑page state transition PDF. The outcomes are severe: high rates of homelessness, low college completion, and unstable employment. Nest is an AI‑powered, mobile‑first web application that turns this overwhelming bureaucracy into a personalized 90‑day transition plan generated in under 60 seconds. Through a short conversational intake, the system collects a youth’s age, county, housing status, and education or work goals, then uses a deterministic rules engine to determine likely eligibility for key programs …

Uc-149-185 Ai-Assisted Media Organization And Intake System, Meilun Wu, Nevaeh Branham, Isaiah Higgins, Claude Kangni, Fatima Ahmed

C-Day Computing Showcase

This project includes the design and validation of a metadata-driven media intake and organization system implemented for the Office of the District Attorney, Cobb Judicial Circuit. The institution produces a considerable volume of photographs and video content via outreach programs and community interaction initiatives. Yet, the organization does not have an organized framework for managing media files, which results in inefficient file retrieval and data loss over time due to a lack of standardized organizational practices. In this regard, this project aims to develop a workflow-based system for the efficient organization of media files that will be powered by a …

Uc-139-175 Agentic Debugger And Documenter, Olaoluwa Omodemi, Jade Le, Preston Dietz

C-Day Computing Showcase

Modern software development teams routinely introduce subtle bugs — mutable default arguments, bare exception handlers, insecure eval()/exec() calls, resource leaks, hardcoded secrets — that escape manual review but accumulate into technical debt and security risk. Existing linters identify problems but leave remediation to the developer. This project investigates whether a coordinated multi-agent system, combining rule-based static analysis with generative LLM reasoning, can autonomously detect, fix, and document such issues with no developer involvement beyond providing the input file.

Grp-125-144 Mapping The Affordances Of Human-Ai Interaction: A Large-Scale Text Mining And Statistical Analysis Of Llm Usage Patterns, Anil Vallepu

C-Day Computing Showcase

People increasingly communicate with AI for schoolwork, office tasks, and daily needs. This study investigates the affordances of human-AI interaction using modern text mining and statistical analysis on the WildChat-1M dataset of over 1.1 million real-world ChatGPT user conversation logs. We apply BERTopic to extract latent interaction topics, compute a probabilistic topic-document matrix P(T|D), and perform rigorous statistical testing including Welch’s T-test and ANOVA to compare affordance patterns between GPT-3.5 and GPT-4.0 Results reveal that creative writing, Coding, message drafting and many interesting topics are the dominant affordances, while a spatio-temporal trend analysis maps how interaction patterns evolve globally over …

Gc-173-232 A Surrogate Accountability Framework For Agentic Ai Systems, Crystal Tubbs

C-Day Computing Showcase

Agentic AI systems introduce new accountability challenges because autonomous agents can act, adapt, and execute decisions without continuous human oversight. This research develops the Surrogate Accountability Framework (SAF), an architectural approach for embedding external oversight, traceability, and control directly within agentic workflows. To operationalize SAF, a working system, Chrysalis, was designed and implemented as a real time governance layer that monitors agent behavior, evaluates decision pressure, and enforces constraints through validation and intervention mechanisms. By shifting accountability from post hoc evaluation to continuous system level enforcement, this approach reduces the risk of compounding errors and enables interpretable, actionable control signals. …

Grp-07-163 Smishguard: An Ai-Powered Framework For Sms Phishing Detection And Alert System For Vulnerable Users, Jiban Krisna Das

C-Day Computing Showcase

This research introduces SMISH-GUARD, a multi-layer framework for adaptive SMS phishing (smishing) detection that integrates language-aware semantic modeling, graph-theoretic campaign reasoning, and cost-sensitive decision calibration within a unified architecture. The framework integrates dual transformer encoders for multilingual semantic understanding with a heterogeneous temporal graph layer that captures relational attack signals such as shared URLs, sender reuse, and campaign propagation patterns. A cost-sensitive decision optimization module is further incorporated to translate probabilistic model outputs into risk-aware alert policies that explicitly balance false-positive inconvenience against the higher societal and financial cost of missed smishing attacks. The study evaluates four integrated datasets comprising …