International Journal of Engineering Applied Science and Management

ISSN (Online): 2582-6948


Notice Board :

Call for Paper
Vol. 7 Issue 1

Submission Start Date:
Jan 01, 2026

Acceptence Notification Start:
Jan 10, 2026

Submission End:
Jan25, 2026

Final MenuScript Due:
Jan 31, 2026

Publication Date:
Jan 31, 2026
                         Notice Board: Call for PaperVol. 7 Issue 1      Submission Start Date: Jan 01, 2026      Acceptence Notification Start: Jan 10, 2026      Submission End: Jan25, 2026      Final MenuScript Due: Jan 31, 2026      Publication Date: Jan 31, 2026




Volume VI Issue XI

Paper Title
SEISMIC RETROFITTING PERFORMANCE OF EXISTING MULTISTOREY RC BUILDINGS: ANALYTICAL RESULTS AND DESIGN IMPLICATIONS
Author Name
Dilip Kumar Das, Kamni Laheriya
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 11
Abstract
India’s urban infrastructure includes a vast number of buildings constructed before the enforcement of modern seismic design codes. Such buildings are vulnerable to earthquakes, as witnessed in Bhuj (2001), Kashmir (2005), and Nepal (2015). This research presents a detailed framework for the seismic evaluation and retrofitting of existing multistorey reinforced concrete (RC) buildings. Analytical evaluation using STAAD.Pro V8i and code-based procedures (IS 1893:2016, IS 13920:2016) was carried out, followed by retrofitting through Fiber Reinforced Polymer (FRP) wrapping, concrete jacketing, and shear wall insertion. The Demand–Capacity Ratio (DCR) method was used to assess member performance. Post-retrofit analysis showed that the maximum inter-storey drift reduced by over 60%, base shear capacity increased by 35–40%, and DCR values decreased below unity, ensuring structural safety. Hybrid retrofitting (FRP + shear wall) was found to be the most effective technique. The study contribut
PaperID
2025/IJEASM/11/2025/3261

Paper Title
Stability Improvement in Hybrid Renewable Microgrid Using Intelligent STATCOM Control
Author Name
Alkesh Kumar Harode, Rahul Singh
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 11
Abstract
The integration of solar photovoltaic (PV) and wind energy systems provides an eco-friendly solution for power generation, but their outputs are highly variable due to changing weather conditions. These fluctuations cause instability in voltage and reactive power in hybrid microgrids. To address these issues, this study proposes a Solar–Wind Hybrid Microgrid model incorporating a Static Synchronous Compensator (STATCOM) for dynamic reactive power compensation and voltage regulation. A Fuzzy Logic Controller (FLC) with 49 rules replaces the conventional Proportional–Integral (PI) controller to enhance the nonlinear control performance of STATCOM. The hybrid system consists of a 1.5 MW Doubly Fed Induction Generator (DFIG)-based wind turbine, a 0.1 MW solar PV system, and a 3 MVAR STATCOM connected at the point of common coupling (PCC). Simulation results in MATLAB/Simulink demonstrate that the fuzzy-controlled STATCOM significantly improves voltage stability and reduces bus voltage fluc
PaperID
2025/IJEASM/11/2025/3262

Paper Title
Federated Learning Models for Privacy-Preserving Healthcare Analytics
Author Name
K. Prasanth Kumar, N.Geetanjali
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 11
Abstract
The proliferation of electronic health records (EHRs) and medical Internet of Things (IoT) data presents an unprecedented opportunity to advance healthcare through data-driven analytics, particularly with deep learning models. However, the sensitive nature of health data, coupled with stringent privacy regulations like HIPAA and GDPR, often isolates data in siloed institutions, creating a significant barrier to developing robust, generalized models. Federated Learning (FL) has emerged as a promising decentralized machine learning paradigm that enables model training across multiple data sources without sharing the raw data. This paper explores the application of FL in the healthcare domain, focusing on its role in preserving patient privacy. We provide a comprehensive literature survey of the current state-of-the-art. The core of this work involves a detailed methodology discussing six prominent federated learning models: Federated Averaging (FedAvg), Federated Averaging with Secure Ag
PaperID
2025/IJEASM/11/2025/3264

Paper Title
Federated Learning Models for Privacy-Preserving Healthcare Analytics
Author Name
Kaleemulla, Prakash Reddy. V
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 11
Abstract
Emerging Markets (EMs) offer substantial growth opportunities but are simultaneously characterized by high financial volatility, institutional complexity, and structural risks inherent to developing economies. This paper analyzes the effectiveness of integrated risk governance structures in India, specifically examining the operational Financial Risk Management (FRM) frameworks of the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE)—collectively referred to as National Stock Exchanges (NSC)—and their alignment with Strategic Planning (SP) objectives, assessed through the lens of the Balanced Scorecard (BSC) framework. Utilizing secondary data from academic journals, SEBI, RBI, and market statistics spanning 2015 to 2025, the study adopts a descriptive and analytical approach. Findings confirm that Indian Market Infrastructure Institutions (MIIs) maintain robust, internationally compliant operational FRM systems, highlighted by dynamic margin regimes (SPAN, Extreme Loss Mar
PaperID
2025/IJEASM/11/2025/3265