STM Journals Peer-reviewed research from Consortium e-Learning Network

5 publications

  • Published Subscription

    Precision Agriculture Revolution: A Low-cost Smart Irrigation System Empowered by IoT for Small-scale Farmers

    By Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran

    Abstract: Precision agriculture powered by Internet of Things (IoT) is transforming traditional farming practices for improved crop yield and sustainability. This paper presents the architecture, implementation and testing of a low-cost smart irrigation system aimed at optimal utilization of water resources for small-scale farmers. The automated system monitors a suite of sensors that provide field data such as soil moisture, temperature, humidity. An intelligent controller processes this information to operate water …

    Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 21–29 Read article

  • Published Subscription

    Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies

    By Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran

    Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …

    Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article

  • Published Subscription

    The Critical Role of Cyber Threat Intelligence in Countering Terrorism: Challenges, Successes and Policy Recommendations

    By Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran

    Abstract: Cyber threats from terrorist organizations pose severe risks to national security, economic stability and public safety. Cyber threat intelligence (CTI) has emerged as a crucial capability for pre-empting and disrupting cyberterrorism attempts through systematic monitoring of threat actors, along with analytical frameworks to contextualize tradecraft. This paper provides an extensive overview of CTI, analyzing the state of the art of intelligence gathering frameworks against threat groups by assessing technologies like …

    Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 22–29 Read article

  • Published Subscription

    Elevating Security in IoT Cloud Fusion: Challenges and Remedies

    By Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran

    Abstract: The integration of internet of things (IoT) devices and cloud computing platforms, known as IoT cloud fusion, enables powerful new applications but also poses significant security risks. This paper provides a comprehensive analysis of the security challenges in IoT cloud fusion and emerging remedies to elevate protection. We assess key threats around data privacy, authentication, integrity, scalability, and interoperability through a systematic literature review methodology. Encryption, access controls, blockchain, and …

    Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 41–55 Read article

  • Published Subscription

    A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles

    By Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran

    Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …

    Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article

Support