Daily Archives: March 4, 2025

Abstract-In this paper, a generalized matrix inverse-based unknown input observer (UIO) has been developed for a benchmark 3-DOF helicopter system to manage unknown, time-varying nonlinear dynamics and disturbances. The goal is to ensure the helicopter accurately follows the specified elevation and pitch references. To achieve this, we introduce a novel, simplified UIO to estimate the combined unknown dynamics, which are subsequently incorporated into the control design as a compensator. By introducing an auxiliary system, an invariant manifold is derived and utilized in the UIO design. The full-order observer, constructed using the g-inverse, is expanded and implemented to achieve this purpose. This new estimator requires setting only a single scalar and achieves exponential convergence. Consequently, the proposed control design utilizing the estimator can achieve precise output tracking. This control method is implemented on a benchmark 3-DOF helicopter, and its efficacy is validated through simulations and results.

Abstract-Developing a GenAI-enabled AR platform for museums to offer personalized, interactive experiences, enhancing visitor engagement and educational value, thereby preserving and promoting the heritage and culture of the nation. The system proposes the development of a novel GenAI-enabled Augmented Reality (AR) platform tailored for museums, aimed at delivering personalized and interactive experiences to visitors. Leveraging Unity Vuforia Area Target/Image Target technology, C# API, GenAI, langchain, and the OpenAI API, the platform seeks to revolutionize traditional museum visits by offering enhanced engagement and educational value. While existing solutions such as audio guides, mobile apps, and interactive displays have improved visitor experiences, they often lack interactivity and personalization. The proposed platform addresses these limitations by employing Generative AI to power a virtual assistant that delivers detailed information about exhibits and aids in navigation. Accessible via a cross- platform AR application on web, Android, and iOS devices, the solution promises to create a more immersive and enriching museum experience, ultimately contributing to the preservation and promotion of cultural heritage.

Abstract-In order to provide a structured and interactive learning environment, a Learning Management System (LMS) is essential to modern education and training. This project entails designing and developing a feature-rich LMS using Django for backend development and Tailwind CSS for a responsive and user-friendly interface. The system offers a centralized dashboard for administrators, instructors, and students, integrating essential functionalities like secure user authentication, dynamic course enrollment, and real-time attendance tracking. The platform enhances the learning experience by enabling personalized learning pathways, robust assessment tools, automated certification, and role- based access control for administrators, instructors, and students. The LMS is built with scalability and seamless third- party integrations, including payment gateways and video conferencing solutions, supporting both self-paced and instructor-led learning models. This LMS solution is intended to transform online learning by creating an efficient and captivating digital learning ecosystem. By emphasizing usability, security, and efficiency, this project seeks to improve educational outcomes, automate administrative workflows, and increase learner engagement. Django integration guarantees a stable and scalable backend, while Tailwind CSS offers an aesthetically pleasing and highly responsive design.