Structural Design Patterns: Composing Efficient and Scalable Software Architectures
Authors:- RamaKrishna Manchana

Abstract:- Design patterns, particularly the Gang of Four (GOF) patterns, are essential in software design, offering structured solutions to common architectural challenges. This paper explores Structural patterns as a continuation of Creational patterns, illustrating how these patterns enhance the composability, scalability, and maintainability of software systems. By aligning Structural and Creational patterns, we provide a comprehensive guide to effective software design, demonstrating their complementary roles through practical applications and real-world case studies.

DOI: 10.61137/ijsret.vol.5.issue3.371

Published by: Kajal Tripathi

Innovation Technology for Detection of Tangible & Intangible Failure Modes Through Condition Base Monitoring System
Authors:- Research Scholar T D Sundaranath, Registrar Professor Dr. G. R. Selokar (Supervision)

Abstract:- Primary signals are generally those signals or parameters which are required to assess the performance of the equipments and which are designed to be emanated, such as oscillations in vibratory chutes/ Screens etc. Monitoring of primary signals are termed as “Performance monitoring” or “Performance Trend Monitoring”. All other signals, which appear as loss output, like vibration, sound thermal, chemical or physical changes etc, are termed as secondary signals. Secondary signals are, normally, not designed for. Monitoring primary signals alone does not help in efficient assessment of health and condition of equipments/ machines. As secondary signals are generally result or form of loss output, monitoring of these signals becomes inevitable and, often more necessary, for equipment health monitoring and technical diagnostics. It is again emphasized that selection of condition monitoring parameters. Monitoring points and sampling points, monitoring frequencies and techniques and analysis of monitored parameters/ signals are to be done timely and Efficiently to enable maintenance personnel take timely actions.

DOI: 10.61137/ijsret.vol.4.issue6.427

Published by: Kajal Tripathi

Garbage Collection Tuning in Java: Techniques, Algorithms, and Best Practices
Authors: RamaKrishna Manchana

Abstract:Garbage Collection (GC) is a critical aspect of Java’s memory management, responsible for automatically reclaiming unused memory and preventing memory leaks. This paper provides a comprehensive overview of GC tuning as of mid-2018, exploring various GC algorithms, their tuning parameters, trade-offs, and monitoring techniques. By understanding GC behavior and leveraging tuning options, developers can enhance application performance and minimize GC overhead.

DOI: 10.61137/ijsret.vol.4.issue4.236

Published by: Kajal Tripathi

Optimizing Healthcare Data Warehouses for Future Scalability: Big Data and Cloud Strategies
Authors:Srinivasa Chakravarthy Seethala

Abstract:Healthcare organizations generate vast amounts of data, driven by regulatory compliance, patient care needs, and advances in medical technology. Legacy data warehouses, while central to healthcare data management, often struggle to accommodate escalating data volumes, new data types, and real-time processing demands. This paper presents strategic insights into leveraging Big Data and cloud computing to modernize healthcare data warehouses for future scalability. We examine technical approaches, review cloud and Big Data integration techniques, and propose a roadmap for healthcare data scalability, addressing concerns of security, compliance, and data interoperability.

DOI: 10.61137/ijsret.vol.3.issue6.201

Published by: Kajal Tripathi

Optimizing Material Management through Advanced System Integration, Control Bus, and Scalable Architecture
Authors:RamaKrishna Manchana

Abstract:This paper presents an advanced approach to material management by leveraging modern system integration techniques and scalable microservices architecture. The proposed solution addresses the limitations of traditional monolithic systems by introducing microservices, control bus mechanisms, and event-driven designs that enhance operational efficiency and scalability. By utilizing advanced integration patterns, including synchronous and asynchronous services, the system improves real-time data processing and decision-making capabilities. This document outlines the technical architecture, key components, integration designs, and implementation strategies that underpin a robust and adaptable material management system, demonstrating significant improvements in scalability, performance, and responsiveness.

DOI: 10.61137/ijsret.vol.3.issue6.200

Published by: Kajal Tripathi

Increasing Students’ Interest in Mathematics: A Teaching Quality That Connects Mathematics to Real-Life Problems
Authors:-Abhijit Sadashiv Patil

Abstract-Students’ enthusiasm in mathematics is largely influenced by their math professors’ capacity to relate the subject to real-world issues. In order to increase students’ interest in mathematics, the current study aims to determine what aspects they would want to see their math teachers enhance. Using a random sample technique, the study chose ten (10) high schools and 1,263 students from different subject areas to answer a structured questionnaire about factors that influence students’ interest in mathematics. The study examined the impact of teachers’ capacity to relate mathematics to real-world issues on students’ interest in the subject using principal component analysis and multiple linear regression analysis. According to the study, 57.4% of students’ interest in mathematics is predicted by teachers’ capacity to relate mathematics to real-world problems, which may be divided into two main components (p<0.001). The components utilized to connect mathematics to real-world problems were evaluated and their relative importance index was calculated. According to the study, when math teachers set aside quality time for pupils to do class exercises, they would be more engaged in the subject. The study also discovered that students' interest in mathematics is largely influenced by the teacher's capacity to connect mathematics to other topic areas. According to the study's findings, teachers' capacity to relate mathematics to real-world issues is crucial to the growth of students' interest in the subject.

DOI: 10.61137/ijsret.vol.3.issue1.144

Published by: Kajal Tripathi

AI-Driven Data Warehouse Modernization in the Healthcare Sector: A Blueprint for Efficiency Modernizing Legacy Data Warehouses with AI-Enhanced Workflows/strong>
Authors:-Srinivasa Chakravarthy Seethala

Abstract-The healthcare industry is at a pivotal moment in terms of data management. Legacy data warehouses, which once served the sector’s needs, are now proving inefficient in an era of rapid technological advancements. This article proposes a framework for modernizing these legacy systems with Artificial Intelligence (AI) technologies, particularly AI-enhanced Extract, Transform, Load (ETL) workflows. These technologies have the potential to significantly improve data quality, operational efficiency, and scalability, especially in key areas such as Electronic Health Records (EHRs), Medical Imaging, Hospital Management, and Medical Research. Additionally, AI enables predictive analytics, offering healthcare organizations the ability to anticipate patient needs and optimize resource allocation. This paper explores the challenges healthcare organizations face, the benefits of AI-driven solutions, and best practices for implementation.

DOI: 10.61137/ijsret.vol.2.issue6.135
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Published by: Kajal Tripathi