North Carolina Agricultural and Technical State University
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Safe Remote Operation of Connected Automated Vehicles
No full textOver the past few years, automated shared ride services have been increasingly tested on public roads, with several pilot projects taking place in North Carolina. Although these ride- sharing services can navigate structured traffic environments effectively, the autonomous systems remain prone to challenges in complex or atypical scenarios. Should the autonomous driving system fail, it may lead the vehicles to crash or stall, creating potential hazards and congestion on the roadways. This study introduces a human-in-the-loop fallback operation through the establishment of a remote-operated driving system. The proposed approach develops a reliable software and communication architecture to facilitate connectivity between Connected Autonomous Vehicles (CAVs) and the remote-operated driving station. The ROS2 framework and WebSocket protocol grant access to vehicle perception and control, ensuring robust communication with the remote driving control system. Additionally, the research outlines guidelines for the fallback procedure and safety measures to enhance the overall reliability of remotely operated CAVs.https://digital.library.ncat.edu/gradresearchsymposium25/1145/thumbnail.jp
Enhancing Cargo Movement Automation: ROSBased Design and Control of an Autonomous Overhead Crane with Depth Camera Object Detection
No full textThe automation of cargo movement is crucial in industries like nuclear power plants, where precision, safety, and efficiency are essential. This research focuses on developing an autonomous overhead crane system integrated with the Robot Operating System (ROS) to enhance material handling in such high-risk environments. A comprehensive geometric analysis using SolidWorks optimizes the crane’s structure, while an advanced control mechanism ensures seamless coordination of its X, Y, and Z-axis movements along with the gripper operation. A depth camera is incorporated to detect and locate objects, allowing the system to dynamically adjust its gripping mechanism based on the object\u27s position. The crane’s pulley system is modeled as a mass-damped second-order system, with a PID controller ensuring stable and efficient performance. Unlike existing studies that focus primarily on hardware improvements or basic automation, this research introduces a unified ROS-based control framework for real-time motion planning, precise motor actuation, and adaptive object handling. Additionally, a digital twin of the overhead crane is developed to simulate real-world dynamics accurately. The proposed system is validated through extensive simulations in SolidWorks and ROS, demonstrating improved accuracy, reliability, and scalability. This work significantly contributes to advancing autonomous material handling solutions for nuclear facility crane automationhttps://digital.library.ncat.edu/gradresearchsymposium25/1148/thumbnail.jp
AI-Powered Intrusion Detection for UAV Security
No full textThis poster presents an Artificial Intelligence (AI) powered Intrusion Detection System (IDS) for Unmanned Aerial Vehicles (UAV) security. The system leverages ML and DL algorithms to detect cyber and physical attacks on UAVs, with plans to implement a Federated Learning (FL) framework and LLM\u27s for performance enhancementshttps://digital.library.ncat.edu/gradresearchsymposium25/1155/thumbnail.jp
AI Fairness Investigating and Developing AI Models to Mitigate Bias and Enhance Fairness
No full textArtificial Intelligence (AI) is increasingly being deployed in sensitive environments where malfunctioning electronic devices or chemical leaks can lead to catastrophic consequences. AI models are trained to process and analyze images and data from various detectors and sensors, playing a critical role in threat detection and safety assessments. However, ensuring these models remain fair and unbiased is a significant challenge. Bias in AI systems can stem from historical data, flawed algorithms, or systemic design issues, potentially leading to inaccurate assessments that compromise security and decision-making. The objective of this ongoing research is to identify and develop methodologies for ensuring AI fairness in high- risk environments. This involves examining bias detection techniques, implementing fairness-aware AI architectures, and proposing best practices for mitigating algorithmic bias. By addressing these challenges, AI can be leveraged more effectively in sensitive facility environments, reducing the risks associated with biased decision-making and enhancing overall security and operational integrity.https://digital.library.ncat.edu/gradresearchsymposium25/1184/thumbnail.jp
Safety Improvement of Grape Pomace by Pressure Cooking and Fermentation with Different Strains of Lactobacillus
No full textGrape pomace (GP) is a polyphenol and dietary fiber-rich byproduct of grapes from winemaking and has great potential to serve as food and feed ingredients. However, limited studies have found that GP is often contaminated with high levels of Ochratoxin A (OTA), which has been reported to cause nephrotoxicity and other diseases in various animal species. In this study, we examined the impacts of pressure-cooking at different pH and fermentation with five lactobacillus strains (L. paracasei, L. acidophilus, L. plantarum, lactiplantibacillus plantarum and Lactobacillus bulgaricus (LB6)) on OTA and different classes of polyphenols in the GP. The GP was deseeded and adjusted to pH 5-7 with NaHCO₃, spiked to OTA of 50ng/g GP, and then pressure cooked for 15-60 min. The GP obtained at optimal pressure- cooking condition was fermented anaerobically at 42 °C for 4-144 hours. The untreated GP served as control. Pressure-cooking only decreased the OTA content by 18- 36% (P\u3c0.05), while TP concentrations increased quadratically (R²=0.9642-0.9145, P\u3c0.05). TA concentration decreased exponentially with increasing treatment times (R²=0.995). In the pH range OF 5-7, pressure – cooking achieved 40-63% of OTA reductions (p\u3c0.05). OTA levels were further reduced by fermentation and a total OTA reduction of 98% was achieved.https://digital.library.ncat.edu/gradresearchsymposium25/1187/thumbnail.jp
Establishing Relationships with Student Affairs to Improve Student Success at Private Colleges and Universities
No full textThis book chapter examines how student success librarians at private colleges and universities collaborate with student affairs departments to enhance student success, particularly for students from underrepresented backgrounds. Drawing on the professional experiences of two Black librarians, the chapter highlights the value of relationship-driven outreach, culturally responsive programming, and strategic partnerships across campus. Emphasizing mentorship, inclusive instruction, and community engagement, the authors demonstrate how academic librarians support retention, foster belonging, and advocate for student empowerment. The chapter also reflects on the challenges and opportunities unique to private institutions and underscores the essential role librarians play in aligning library services with institutional goals for student development and success
SUAB Tiny Desk Concert Performance: Darius King (2025)
No full textThis performance by Kai Johnson was recorded live at the 2025 SUAB Tiny Desk Concert, held at F.D. Bluford Library on April 15, 2025. Sponsored by the Student University Activities Board (SUAB), the concert featured student performers sharing original music and creative works in a cozy library setting
New Farmers of America Association
No full textGroup of people gathered in front of a house.https://digital.library.ncat.edu/photos/2057/thumbnail.jp
New Farmers of America Association
No full textMan working on a tractor.https://digital.library.ncat.edu/photos/2065/thumbnail.jp
New Farmers of America Association
No full textBoys planting plants next to a building.https://digital.library.ncat.edu/photos/2082/thumbnail.jp