https://adrjournalshouse.com/index.php/computer-technology-software-app/issue/feedJournal of Advanced Research in Computer Technology & Software Applications2025-10-03T11:07:33+00:00Advanced Research Publicationsinfo@adrpublications.inOpen Journal SystemsJournal of Advanced Research in Computer Technology & Software Applicationshttps://adrjournalshouse.com/index.php/computer-technology-software-app/article/view/2335IoT-Enhanced Remote Labs in K–12 Education: Ensuring Authenticity, Safety, and Collaboration 2025-08-20T06:16:41+00:00Amit Kautsrohini@gndu.ac.inRohinirohini@gndu.ac.in<p>With the growing demand for practical STEM education in K–12 classrooms, remote labs have emerged as a crucial alternative to traditional science labs—especially during periods of remote or hybrid learning. However, most current solutions either rely heavily on simulations or lack collaborative and authentic learning experiences. The paper addresses the design of experiments that mirror real-world scenarios, incorporating real-time data collection and industry-standard tools. Safety measures, including cybersecurity protocols and ageappropriate content, are emphasized. Collaborative features such as virtual breakout rooms and shared digital workspaces are discussed to facilitate peer interaction. Technical considerations, including reliable connectivity and user-friendly interfaces, are highlighted. The abstract also covers pedagogical approaches, emphasizing inquiry-based learning and gamification. Teacher training and accessibility considerations are addressed to ensure effective implementation and inclusivity. This comprehensive approach aims to maximize the potential of IoT-enhanced remote labs in K-12 education, providing innovative hands-on learning experiences while overcoming accessibility and resource challenges.</p>2025-10-03T00:00:00+00:00Copyright (c) 2025 Journal of Advanced Research in Computer Technology & Software Applicationshttps://adrjournalshouse.com/index.php/computer-technology-software-app/article/view/2330Additive Manufacturing in the Industry 4.0 Era: A Review on IoT-Driven Robotics in Production Technology 2025-08-19T07:05:18+00:00Nital P. Nirmalnital.nirmal@gmail.com<p>The integration of Additive Manufacturing (AM) with Internet of Things (IoT) and robotic technologies is reshaping the future of industrial production by enabling intelligent, adaptive, and interconnected systems. As part of the Industry 4.0 revolution, this convergence has led to the development of Cyber-Physical Production Systems (CPPS) that support real-time monitoring, autonomous control, and predictive maintenance. This review provides a comprehensive synthesis of research from 2015 to 2025, focusing on the transformative impact of IoT-driven robotics in AM across various domains including aerospace, automotive, healthcare, and decentralized manufacturing. The study examines six major thematic areas: robotic-assisted AM, digital twin integration, edge and cloud computing, swarm and mobile robotic systems, cybersecurity and sustainability challenges, and industrial adoption barriers. It highlights how advanced robotic systems, when combined with IoT-enabled sensors and AI algorithms, allow for more flexible, efficient, and responsive 3D printing processes. Key enabling technologies such as digital twins and edge computing are discussed for their role in real-time process feedback, adaptive control, and system optimization. Despite substantial advancements, the review identifies critical research gaps, including the absence of standardized integration frameworks, limited real-world deployment of edge AI and digital twins, security vulnerabilities in connected AM networks, and poor interoperability with legacy manufacturing infrastructure. Sustainability practices in robotic AM systems also remain underdeveloped. The paper concludes by outlining future research directions that emphasize the need for modular, secure, and scalable architectures aligned with the goals of Industry 5.0. This review serves as a valuable resource for researchers, engineers, and decision-makers aiming to develop next-generation smart manufacturing solutions using IoT-integrated robotics in additive manufacturing.</p>2025-10-03T00:00:00+00:00Copyright (c) 2025 Journal of Advanced Research in Computer Technology & Software Applicationshttps://adrjournalshouse.com/index.php/computer-technology-software-app/article/view/2345Smart Shipping: An Examination of Cybersecurity Issues, Solutions and Prospects 2025-08-22T08:28:17+00:00Darshita S. Pathakdsp.pathak@gmail.comChitrang K Vyasdsp.pathak@gmail.comTejas P Pataliadsp.pathak@gmail.comSachin V Rajanidsp.pathak@gmail.com<p><em>The maritime industry's escalating interest in ships is influenced by the need to scale up the profits, improvement of safety, increase operational efficiency and go environmentally friendly. However, the possibility of attack is increased by the industry's growing dependence on cuttingedge technology for the creation of autonomous ships, making the underlying ship systems prone to possible exploitation by the hostile actors. Smart ports are restructuring the marine and logistics sectors by applying technological innovations including cloud computing, big data, artificial intelligence (AI) and the Internet of Things (IoT). These developments enhance port operations, security and efficiency, but they also make vital infrastructure more exposed to cyberattacks. The assaults can result in substantial interruptions, monetary losses and compromised safety. Cybersecurity in smart ports is of crucial importance. </em></p>2025-10-03T00:00:00+00:00Copyright (c) 2025 Journal of Advanced Research in Computer Technology & Software Applications