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Daily Archives: March 24, 2025

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Climate Change Impact on Water Resources: Predictive Modelling with Deep Reinforcement Learning

Climate Change Impact on Water Resources: Predictive Modelling with Deep Reinforcement Learning
Authors:-Assistant Professor Amit Kumar Pandey, Ms. Saloni Rathod, Ms. Sejal Gupta

Abstract-Climate change has significantly altered global hydrological patterns, leading to extreme fluctuations in water availability. This study explores the application of Deep Reinforcement Learning (DRL) to develop a predictive model for analysing climate change’s impact on water resources. By leveraging meteorological and hydrological datasets, the proposed model aims to forecast variations in water availability, quality, and demand. The study integrates climate variables such as temperature, precipitation, and humidity to enhance the decision-making capabilities of policymakers and environmental planners. The findings of this research provide a robust framework for sustainable water resource management.

DOI: 10.61137/ijsret.vol.11.issue2.214

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IoT Based Industrial Fault Monitoring System

IoT Based Industrial Fault Monitoring System
Authors:-Maruti Katke, Pooja Panchal, Shreya Karande

Abstract-The goal of the project is to develop a system, which uses Mobile technology that keeps control of the Industrial effects and activities by using Fire, Smoke, Temperature, LDR and PIR sensor. From the sensors quantities are measured and given to the controller (Arduino). Input value will convert the analogical values into digital format and forwards to the controller. The controller will process this information and it will continuously update to server. If the sensors values exceed from the predefined values, then system will give the alert message and information is updated on the server through GPRS (General Packet Radio Service) modem. GPRS (General Packet Remote system) is the technology that underpins most of the world’s mobile phone networks. GPRS is a packet-switching protocol that allows for the transmission of data over cellular networks. Packet-switching is the process of breaking large amounts of data into smaller pieces for transmission across networks GPRS enables always-on internet access, multimedia messages, and other advanced phone features. This system has the fault monitoring capability, which leverages IoT sensors and devices to detect anomalies in machinery and processes. By continuously monitoring parameters such as temperature, vibration, and pressure, these systems can identify potential faults before they lead to significant failures. IoT (Internet of Things) applications in industrial automation allow operators to monitor and control equipment and processes remotely, which can reduce the need for on-site maintenance. This can improve efficiency, reduce costs, and enhance safety.

DOI: 10.61137/ijsret.vol.11.issue2.213

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An Adaptive Cloud–Edge Security Framework For Smart Manufacturing

Authors: Vanaja Kumari Degala

Abstract: The rapid evolution of smart manufacturing systems has intensified the adoption of cloud–edge computing architectures to support real-time data processing, resource sharing, and intelligent decision-making. However, the convergence of heterogeneous devices, distributed services, and cross-domain interactions introduces complex security challenges that traditional perimeter-based protection models fail to address effectively. This paper presents an adaptive security framework for cloud edge enabled smart manufacturing environments based on zero-trust principles. The proposed framework integrates identity-centric access control, continuous trust evaluation, intelligent anomaly detection, and distributed data protection mechanisms to ensure secure interactions across cloud, edge, and terminal layers. Unlike static security architectures, the proposed approach dynamically adjusts access privileges and protection policies based on contextual risk assessment. The framework enhances system resilience against unauthorized access, data leakage, and lateral movement attacks while supporting scalability and cross-domain collaboration. Conceptual analysis demonstrates that the proposed framework provides proactive and fine-grained security protection suitable for next-generation manufacturing ecosystems.

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