Efficiently Identifying and Removing Empty Div Elements for Web Page Performance Optimization
Authors:-Sait Yalcin

Abstract-In modern web development, maintaining a clean and efficient Document Object Model (DOM) is crucial for optimal performance and user experience. This paper presents a novel approach to the removal of empty `div` elements from web pages. The method not only removes elements that are devoid of child nodes but also accounts for `div` elements containing only whitespace or empty text nodes. This refined technique ensures a more comprehensive cleanup, which can lead to improved page rendering times and reduced memory usage. The proposed function, implemented in JavaScript, has been tested and shown to outperform basic methods in various scenarios.

DOI: 10.61137/ijsret.vol.10.issue4.205

Published by: Kajal Tripathi

Trends of Renewable Energy Stocks in the era of Viksit & Aatmanirbhar Bharat
Authors:-Research Scholar Ms. Versha Gupta, Assistant Professor Dr. Neetu Jindal

Abstract-In this turbulent phase of climate issues and geopolitical tension, a move towards long-term clean and secure energy alternative is becoming one of the major societal concerns of the 21st century. Government of India’s movement of Viksit & Aatmanirbhar Bharat to make the country independent and self-sufficient is on boom. The Sustainable Development Goal 7 (SDG7) calls “India for an affordable, sustainable, reliable and modern energy for everyone” by year 2030, Self-sufficiency in energy production, an energy independent nation by 2047 & Net-zero carbon emissions targets by 2070 staggering the renewable energy companies’ growth. Indian Government’s established a set of programs, incentives, investments, schemes & policies, 100 % FDI permit, etc. to accelerate the expansion of new green. This transition is giving a new wave to the Green and Renewable energy stocks and make the green energy segment multibagger stocks. Where, India is meeting its 43% energy (about 181 GW) from renewable energy sources in 2024, the targets call India to generate 450-500 GW renewable energy by year 2030. India is running the vast opportunity of renewable energy expansion in the world and thus its stocks too. The objective of this study is to present the trends of Green and Renewable Energy stocks, when the whole world is running for green & sustainability. The present paper highlights the Governments role in promoting the green & renewable energy and its relative impact on best performing Indian Energy companies.

DOI: 10.61137/ijsret.vol.10.issue4.204

Published by: Kajal Tripathi

Effective Techniques for Generative AI Precision
Authors:-Sachin Vighe

Abstract-Generative AI systems have demonstrated remarkable capabilities in various domains, such as natural language processing and image and audio generation, yet achieving high precision and accuracy in these systems remains challenging. This paper comprehensively reviews effective techniques for enhancing generative AI precision, focusing on three key areas: data preparation, model architecture optimization, and fine-tuning strategies. We explore advanced data curation, synthetic data generation, and data augmentation methods that improve model accuracy. For model architecture optimization, we examine recent advancements in attention mechanisms, hierarchical structures, and multi-modal integration that promise increased precision. Fine-tuning strategies analyzed include few-shot learning, continual learning, and domain-specific adaptation. Additionally, I will discuss novel framework for evaluating and benchmarking generative AI precision, offering researchers and practitioners a standardized approach for assessing improvements. Case studies and empirical evidence demonstrate these techniques’ efficacy across various generative AI applications. My findings underscore the importance of a holistic approach to precision enhancement, combining multiple strategies for optimal results, contributing to efforts to make generative AI systems more reliable, accurate, and trustworthy.

DOI: 10.61137/ijsret.vol.10.issue4.203

Published by: Kajal Tripathi

Influence of Textile Reinforcement on the Thermal Behavior of Steel Reinforced Concrete: Experimental Investigation
Authors:-Alak Kumar Patra

Abstract-Thermal behavior of conventional steel reinforced concrete with embedded glass (GF) and carbon fibers (CF) are experimentally studied at elevated temperatures after 7 days curing under water. The compressive strengths for M20 and M30 grades of concretes with and without fiber reinforcements have been determined at room temperature (27°C). The flexural strengths of prismatic M20 and M30 concrete specimens without any reinforcement and with GF as well as CF have been determined at 60°C and 80°C respectively. Similarly flexural strengths of prismatic M20 and M30 steel reinforced specimens with GF and CF were tested to determine their flexural strengths. Results indicate that the compressive strength of both the M20 and M30 concretes were least for specimens without fibers, maximum for specimens with CF and the compressive strength of GF reinforced cubes were in between the compressive strengths with CF and without any fibers. At 60°C, the flexural strengths of M20 and M30 concrete were observed to be least for conventional samples, maximum for concretes with CF and flexural strengths of samples with GF was slightly less than that with CF. Though the flexural strengths were significantly improved for both the fiber reinforcements, there were no significant change in that for GF or CF reinforcements. The flexural strengths of concrete with steel rebars additionally reinforced with CF and GF show overall improvement in flexural strengths in all cases along with the nature of variation similar to that without steel rebars. The nature of variation for specimens with and without fibers or steel rebars follow same pattern as that at 80°C but with lesser values in all the cases. Which indicates that these variations should be taken into account for design and construction of fiber reinforced concrete with steel rebars facing high temperature variations.

DOI: 10.61137/ijsret.vol.10.issue4.202

Published by: Kajal Tripathi

Dnssec on Mi-Lxc
Authors:-Raquel Fabiani Touoyem

Abstract-As part of the Specialized Master in Cybersecurity for Operators of Essential Services providers, learners are required to carry out research and restitution work around a theme consistent with their teaching. It is in this perspective that we were offered DNSSEC on MI-LXC, which is a project whose objectives are initially to master the theoretical aspects around the implementation of DNS and DNSSEC, and to understand MI-LXC, which is above all a learning project simulating a mini-internet with all basic associated protocols, based on Linux containers. It will then come down to implementing DNSSEC through the main steps of key generation and zone signing, zone distribution, record validation and key and signature maintenance. It was also important in the context of this project to understand the problems introduced by the implementation of DNSSEC today, as well as the various attacks on the DNS which constitute the limit of DNSSEC. We have therefore carried out work in line with these main objectives, and this report is a restitution thereof. Throughout this project, we made an effort to convey in concise and precise terms our understanding of the various components and structure of DNSSEC under MI-LXC. The last parts allowed us to understand how DNSSEC was the solution for various attacks on the DNS, in this case cache poisoning. We have also explored the limits of DNSSEC and its implementation, and we have proposed additional security protocols which, coupled with DNSSEC, would make it possible to satisfy the objectives of Confidentiality and Integrity of DNS data, in order to make this Internet cornerstone protocol safer.

DOI: 10.61137/ijsret.vol.10.issue4.201

Published by: Kajal Tripathi

Leveraging AWS Serverless Technologies to Modernize Legacy Applications and Enhance Operational Efficiency
Authors:- Sateesh Kumar Undrajavarapu

Abstract- The importance of AWS serverless technologies is their capacity to update and revamp applications providing effective solutions to address the issues of antiquated systems and improve operational productivity. This research delves in to exploring the utilization of AWS serverless technologies, like AWS Lambda and Amazon ECS Fargate to update applications and boost efficiency. By tackling the obstacles posed by legacy systems, such as upkeep expenses, scalability challenges and slow adaptability the study showcases how serverless architectures can streamline operations cut costs and enhance performance. Drawing insights from real world case studies it presents a roadmap for transitioning to serverless architectures encompassing evaluation, planning and execution phases. It also touches upon security and sustainability aspects by underlining the energy saving benefits improved compliance measures and reduced environmental footprint offered by serverless solutions. Furthermore it delves into creating tools for performance evaluation and models for cost optimization to ensure success in the run. The research outcomes indicate that AWS serverless technologies present a budget friendly method for revamping legacy systems with promising applicability, across diverse sectors.

DOI: 10.61137/ijsret.vol.9.issue5.200

Published by: Kajal Tripathi

Application of (Omron) NS10 Pt NS- Designer Ver.3 to Control and Monitor An Automatic Bottle Capping and Tightening System
Authors:-VO PHU VINH, OMRON

Abstract-Production lines increasingly require higher automation, complexity, and precision. PT (Programmable Terminal) is a programmable controller. It can control, monitor, and perform many other special functions.Due to its superior features, the application of PT in automation is a new trend and offers many prospects for this industry.Within the scope of this topic, the application of PT in the automatic bottle capping and tightening system was chosen to research with the aim of introducing some features of PT.

DOI: 10.61137/ijsret.book.121

Published by: Kajal Tripathi

Digital Twin Technology: A Comprehensive Review
Authors:-Malithi R. Abayadeera, G.U. Ganegoda

Abstract-This review explores Digital Twin technology’s evolution since 2003, beyond replicating physical entities to encompass data ecosystems and service relationships. Analyzing its inception, growth, and multifaceted uses, the review illuminates Digital Twins’ transformative role in modern sectors. It delves into their impact on manufacturing, healthcare, smart cities, defence, agriculture, and utilities, showcasing their ability to enhance decision-making and operational efficiencies. Yet, significant obstacles hinder Digital Twin adoption, including IT infrastructure establishment, data quality assurance, privacy concerns, and ethical implications. These challenges obstruct the full realization of Digital Twins’ potential benefits. The study concludes by outlining critical avenues for future research, emphasizing standardization, data quality, privacy preservation, trust-building, and cross-domain applications. Bridging these gaps is vital for harnessing the true potential of Digital Twins in revolutionizing industries. This review aims to present a comprehensive view of Digital Twins, highlighting their benefits, challenges, and the imperative for further research to unlock their transformative impact.

DOI: 10.61137/ijsret.vol.10.issue4.199

Published by: Kajal Tripathi

Foreseeing Maximum and Minimum Temperatures by Integrating Several Machine Learning Programs While Assessing Their Performance
Authors:-Pintu Pal, Deblina Banerjee, Subhodeep Moitra

Abstract-Global warming has led to a boost in both optimum and minima temperatures. So, in this situation, precise prediction of maximum and minimum temperatures plays a very pivotal role in studying various factors related to human comfort, agriculture, ecological and environmental developments, and other causes. We investigated the effectiveness and varied capabilities of data-driven algorithms to anticipate the maximum and lowest temperatures of the third day in accordance with the meteorological situations of the preceding two days in a row.

DOI: 10.61137/ijsret.vol.10.issue4.198

Published by: Kajal Tripathi

Enhancing Oral Proficiency through Computer-Assisted Language Learning: A Quasi-Experimental Study
Authors:-Imad Hamdanat

Abstract-This study investigated the impact of computer-assisted learning (CAL) on Moroccan high school students’ speaking skills. A quasi-experimental design compared a group exposed to ten sessions of CAL-enhanced instruction, featuring short videos of real-world English language situations, with a control group receiving traditional instruction. Data were collected through pre- and post-tests assessing speaking proficiency. Results indicated significant improvements in speaking skills for both groups, with the experimental group demonstrating substantially greater gains as evidenced by a significant difference in post-test scores (t(85) = -12.786, p < .001). These findings suggest that CAL, particularly when integrated with authentic language exposure, can be an effective tool for enhancing oral language development in high school students. The study holds significant implications for teachers, curriculum designers, and educational stakeholders in Morocco, underscoring the potential of CAL to transform language education.

DOI: 10.61137/ijsret.vol.10.issue4.197

Published by: Kajal Tripathi