Conference Papers
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Item Vision in Versatility: Dual CCD-CMOS Imaging with Compressed Sensing for Sustainable IoT Surveillance Drones(Institute of Electrical and Electronics Engineers Inc., 2024) Gambheer, R.; Bhat, M.S.In the evolving IoT technology landscape, deploying surveillance drones with advanced imaging for security and efficiency is crucial, particularly in low-light conditions. Traditional imaging relies on either Charge-Coupled Device (CCD) sensors for their low-light prowess or Complementary Metal-Oxide-Semiconductor (CMOS) sensors for their energy efficiency. Our research introduces a novel approach by combining CCD and CMOS sensors into a single hardware platform. This allows for smart switching based on ambient light, optimizing energy use and improving image quality in varied environments. We tackle the high energy use of CCD sensors and the inconsistent performance of CMOS sensors under different lighting by applying compressed sensing (CS) techniques. These are designed to lower energy, bandwidth, and storage needs, making CCD sensors more efficient in the dark. Additionally, we've developed optimized sparse reconstruction algorithms to enhance this dual-sensor system's performance in IoT networks, ensuring high image quality with less resource use. This dual-sensor approach is a breakthrough in using CCD sensors for night surveillance, supporting sustainable IoT goals by saving energy and extending drone lifespans. Our research, backed by theoretical analysis, simulations, and empirical tests, proves our algorithms' ability to reconstruct high-quality images efficiently. Introducing this dual-sensor solution represents a significant step in sustainable IoT surveillance, offering potential for widespread use in various settings. © 2024 IEEE.Item Work Integrated Learning in Engineering Education: Bridging Theory and Practice(Institute of Electrical and Electronics Engineers Inc., 2024) Gambheer, R.; Shripathi Acharya, U.S.Work Integrated Learning (WIL) is a pivotal approach that bridges the gap between theoretical knowledge and practical application, significantly enhancing the employability and skillsets of engineering graduates. This paper delves into diverse WIL models, their integration into engineering curricula, and their profound impact on student learning outcomes. Through detailed case studies from various engineering institutes of higher learning, we illustrate successful implementations and effective assessment methods. Furthermore, we propose strategic recommendations for fostering robust industry-academia collaborations. Authored collaboratively by industry professionals and academic researchers, our findings underscore WIL's critical role in producing industry-ready engineers and offer a comprehensive framework for embedding WIL into engineering education programs. Additionally, our paper explores the concept of the Professor of Practice, an innovative role that involves industry experts teaching within university settings. This concept emphasizes the value of incorporating seasoned industry professionals into academic environments to bridge the gap between theoretical knowledge and practical application. By analyzing various case studies, we demonstrate how Professors of Practice contribute to enhancing educational outcomes and fostering closer industry-academia collaborations. This model not only enriches the curriculum but also provides students with direct insights into current industry practices and emerging technologies. Our comprehensive analysis highlights the importance of integrating WIL and the Professor of Practice model to cultivate an educational ecosystem that is both academically rigorous and aligned with industry demands. These initiatives collectively aim to produce graduates who are not only knowledgeable but also adept at navigating the complexities of the engineering profession. © 2024 IEEE.