Notice Board :

Call for Paper
Vol. 7 Issue 8

Submission Start Date:
Aug 01, 2026

Acceptence Notification Start:
Aug 10, 2026

Submission End:
Aug 25, 2026

Final MenuScript Due:
Aug 31, 2026

Publication Date:
Aug 31, 2026
                         Notice Board: Call for PaperVol. 7 Issue 8      Submission Start Date: Aug 01, 2026      Acceptence Notification Start: Aug 10, 2026      Submission End: Aug 25, 2026      Final MenuScript Due: Aug 31, 2026      Publication Date: Aug 31, 2026




Volume VII Issue VIII

Author Name
Er. Rishabh Aryan
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 8
Abstract
Wind energy has become one of the fastest growing sources of clean electricity, yet the unpredictable nature of wind and the mechanical complexity of turbines continue to expose operators to unplanned downtime, expensive reactive repairs and grid instability caused by sudden generation shortfalls. This paper presents an integrated framework, built around the open, node based workflow automation platform n8n as its central orchestration engine, that combines a distributed Internet of Things (IoT) sensor network and a set of advanced wind speed forecasting models with n8n to deliver predictive maintenance and grid stability for wind turbines. Vibration, temperature, strain, acoustic and anemometric sensors are deployed across turbine subsystems and streamed to an edge gateway, from where five cooperating n8n workflows, comprising thirty eight nodes in total, orchestrate data cleaning, feature extraction, AI powered model inference, anomaly detection, a human approval gate, maintenance ti
PaperID
2026/IJEASM/8/2026/3234

Author Name
Fazila Sogojeva
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 8
Abstract
The adoption of Artificial Intelligence (AI) in secondary schools is a paradigm shift in the educational landscape, changing the way students interact with digital spaces. This empirical study examines the various dimensions of secondary school students' digital literacy after their participation in the introduction of AI. A strong quantitative methodology was used to gather data from a stratified random sample of 542 students and 68 educators from a variety of socio-economic school districts. The study examines the different types of uses of AI tools ranging from intelligent tutoring systems to automated writing assistants to adaptive learning platforms and ties the increased use to digital literacy indicators such as information evaluation, computational thinking, and digital citizenship. Initial analysis reveals at a p-value of < 0.01, the relationship between moderate to high AI usage and improved Digital Literacy scores is statistically significant. The study also indicates some i
PaperID
2026/IJEASM/8/2026/3462

Author Name
Rojalini Samanta, Amitder Nath Chatterjee
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 8
Abstract
Metallic nanoparticles have gained considerable attention in pharmaceutical and biomedical research because of their high surface area, tunable size, and unique optical, catalytic, magnetic, and antimicrobial properties. This review provides an overview of nanotechnology, highlighting both conventional and green synthesis approaches, the major types of metallic nanoparticles, and their applications in healthcare. Conventional methods, including top-down and bottom-up strategies, chemical reduction, sol-gel, hydrothermal, electrochemical, microwave-assisted synthesis, and laser ablation, enable precise control over nanoparticle characteristics but often involve hazardous chemicals and high energy consumption. In contrast, green synthesis employs biological resources such as plants, bacteria, fungi, algae, and natural biomolecules to produce nanoparticles in a more sustainable and eco-friendly manner. The review also discusses the pharmaceutical roles of gold, silver, copper, zinc oxide,
PaperID
2026/IJEASM/8/2026/3465

Author Name
Md Kaif Alam, Sujeet Kumar Soni
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 8
Abstract
Inverter-based distributed energy resources (DERs) are characterized with low fault current and negligible amount of negative and zero sequence currents. Understanding DER’s fault characteristics is critical for fault analysis and protective relay setting. Despite the abundant work on DER modelling, few research studies have been done to analyse DER’s fault behaviours during actual fault events. This paper explores recorded fault events collected by Dominion Energy. Fault magnitude, angle, and sequence components are analysed to show that actual DER fault response may differ from previous understandings. The general reclosure over current relay is replaced with counter set reclosure over current relay which completely triggers off when the restricting number crosses 3 times. So, the over current relay only closes to short transient faults but not long-time faults. The analysis with respect to different conditions is checked using a DER (PVA) connected to this counter set reclosure over
PaperID
2026/IJEASM/8/2026/3470