International Journal of Engineering Research and Sustainable Technologies (IJERST)

Editorial Note

2026-03-26T04:31:34+00:00

International Journal of Engineering Research and Sustainable Technologies (IJERST)

Volume 4, No.1 Online ISSN: 2584-1394

Message from Editorial Desk 25th March 2026

Dear Readers, Researchers, and Contributors,

We are delighted to share a significant milestone regarding our journal’s global standing. Following official communication from the ISSN Centre India (CSIR-NISCPR) on March 17, 2026, we are happy to inform you that our records have been formally validated and our ISSN (2584-1394) is now confirmed and registered with the ISSN International Portal. This validation ensures that the scholarly work of our contributors is now more discoverable and recognized within the global academic community.

Building on this momentum, we are also pleased to announce that we are actively on the way to being indexed in the Directory of Open Access Journals (DOAJ). Our formal application is being finalized and will be submitted shortly, further solidifying our commitment to open-access excellence and rigorous publication ethics.

This issue features diverse contributions that bridge the gap between theoretical inquiry and practical, sustainable development. We extend our sincere gratitude to our authors for their intellectual rigor, to our reviewers for their critical insights, and to our editorial team for their tireless efforts.

As we move forward in 2026, we invite you to continue sharing your groundbreaking research with us as we strengthen the impact and visibility of IJERST.

Warm regards,

On behalf of Editorial Team Dr.V.RameshBabu Managing Editor

Dean-University Journal , Dr.M.G.R. Educational and Research Institute Chennai,Tamilnadu,India

dean-univ.journals@drmgrdu.ac.in / ijerst@drmgrjournals.org

SMART DRIVER SAFETY AND EMERGENCY RESPONSE SYSTEM FOR ROAD ACCIDENT PREVENTION

2026-03-25T18:12:58+00:00

Road accidents caused by driver fatigue and sudden medical emergencies remain a critical challenge in intelligent transportation systems. Conventional vehicle safety mechanisms such as airbags and seat belts operate only after a collision has occurred and do not provide proactive accident prevention. To address this limitation, this paper proposes an AI-Powered Driver Health Monitoring and Autonomous Rescue Vehicle System designed to detect driver drowsiness in real time and automatically initiate safety actions. The system employs computer vision techniques using OpenCV and facial landmark detection to compute the Eye Aspect Ratio (EAR) for continuous monitoring of eye closure patterns. When the EAR value falls below a predefined threshold for a sustained duration, the system identifies a drowsy state and triggers automated control signals to a simulated embedded platform. The vehicle motor is stopped, alert messages are displayed, and rescue mechanisms are activated to ensure safety. The proposed architecture integrates artificial intelligence with embedded system control, providing a cost-effective, non-intrusive, and real-time solution for accident prevention. Experimental validation demonstrates reliable fatigue detection with minimal response delay, confirming the feasibility of deploying AI-driven proactive safety systems in next-generation smart vehicles.

IOT-BASED HUMIDITY MEASUREMENT AND CONTRL SYSTEM FOR CGREEN HOUSE USING VLSI

2026-03-25T18:55:06+00:00

Precise control of humidity is essential for achieving optimal crop growth in greenhouse environments. This paper presents an Internet of Things (IoT)-based humidity measurement and control system using VLSI architecture for automated greenhouse management. The proposed system employs a humidity sensor to continuously monitor environmental conditions, and the acquired data are processed by a VLSI-based controller implemented using Verilog HDL. The controller compares the measured humidity with predefined threshold values and generates control signals to regulate actuators such as exhaust fans and humidifiers. An IoT module facilitates real-time data transmission to a cloud platform, enabling remote monitoring and data logging. The integration of VLSI technology ensures low power consumption, high processing speed, and reliable operation. Experimental results demonstrate that the proposed system effectively maintains desired humidity levels while minimizing human intervention and energy usage, thereby enhancing greenhouse productivity and sustainability.

AN ANALYSIS OF HEALTHCARE FACILITY BIOWASTE AND LEAN SIX SIGMA-BASED IMPROVEMENTS FOR MANAGEMENT

2026-03-25T18:55:06+00:00

This study analyzes bio-waste generated in hospitals to comprehensively understand its types, quantities, and associated environmental and public health risks. Through a systematic examination of relevant literature and data, it explores various origins and categories of hospital bio-waste, including medical, sharps, and pharmaceutical waste. The research scrutinises bio-waste management strategies employed by hospitals, emphasising both their advantages and disadvantages. Recognising hospitals as pivotal waste generators, the study underscores their role in formulating efficient waste management protocols to ensure safety, reduce environmental impact, and foster eco- friendly practices. Furthermore, the project employs Lean Six Sigma approaches to enhance the cost-effectiveness of bio-waste disposal in hospitals. By identifying and minimising waste, streamlining processes, and improving overall efficiency, this strategy aims to lower disposal costs, optimise resource utilisation, and promote sustainability in healthcare settings. The study draws insights from a reputed private hospital in Tamil Nadu, India, utilising the DMAIC technique to assess waste across various hospital departments. The research provides valuable insights into applying lean methodologies in healthcare waste management, offering practical guidance for businesses seeking to enhance their bio- waste disposal practices

OPTIMIZED INTEGERATION OF DISTRIBUTED ENERGY RESOURCES FOR P2P ENERGY TRADING IN DISTRIBUTION NETWORKS USING THE COS

2026-03-25T18:55:04+00:00

The growing penetration of different types of DERs, such as PV systems, WTs, BEVs, and BESS, is gradually changing the passive conventional distribution network into an active energy community. As the consumers become prosumers with the capability to produce, store, and trade electricity, optimal coordination of DERs is crucial for the facilitation of P2P energy trading in order to improve the local energy balance and enhance the overall performances of the distribution system. This paper presents an optimization framework to maximize the P2P trading benefits in an IEEE 12-bus radial distribution network through strategic integration and operation of DERs. The recently introduced COA is used for the optimal siting, sizing, and dispatch of PV, WT, BEVs, and BESS units with a view to maximizing the trading potential along with minimum network losses and improved voltage stability. Unlike the traditional DER scheduling models, the proposed model allows dynamic interaction between the consumers and prosumers by facilitating efficient trading of surplus renewable generation within the local network. The optimization further coordinates the charging/discharging cycles of both the BEVs and BESS units in order to improve the local energy availability and market participation of consumers in the distribution network. Comparative findings show that, in comparison to other traditional COA considerably increases the energy trading volume, lowers the active power losses, and improves the voltage profiles. The findings also demonstrate that a cost- effective and sustainable P2P energy trading environment can be established in future distribution networks through coordinated DER operation enabled by an effective metaheuristic optimizer.