Daily Archives: May 14, 2025

The Growing Reliance on Artificial Intelligence in Everyday Human Activities: An Analytical Perspective
Authors:-Assistant Professor Nitin S Bheemalli

Abstract-:In recent years, the swift incorporation of Artificial Intelligence (AI) into various aspects of everyday life has profoundly transformed the ways in which individuals work, communicate, and manage their daily activities. This paper delves into the intricate relationships that have emerged between humans and AI across multiple domains, including healthcare, education, transportation, communication, domestic life, and decision- making processes. Through a comprehensive literature review and detailed analysis of case studies, this research aims to elucidate the degree of AI integration in these fields and assess its benefits as well as potential risks. The paper concludes by identifying key areas where policy intervention is necessary and addressing ethical considerations that must be taken into account during the development and deployment of AI systems intended for routine use.

DOI: 10.61137/ijsret.vol.11.issue2.462

Published by: Kajal Tripathi

Artificial Intelligence Data Centers Efficiency and Performance Enhancements through Liquid Cooling
Authors:-Girish Kishor Ingavale

Abstract-:The rapid expansion of artificial intelligence (AI) applications, such as machine learning, deep learning, and neural networks, has led to an unprecedented surge in the computational demands placed on data centers. Traditional air-cooling methods, which have served well in the past, are becoming increasingly inadequate for the high-density computing environments necessitated by AI workloads. This inadequacy is primarily due to the significant heat generation associated with AI computations, which can lead to reduced system performance and increased energy consumption. Liquid cooling emerges as a promising alternative, leveraging the superior thermal conductivity of liquids to more effectively dissipate heat. This article presents a comprehensive analysis of the implementation of liquid cooling systems in AI data centers, with a specific focus on their impact on energy efficiency, Power Usage Effectiveness (PUE), and overall system performance. Through a detailed comparative analysis of air and liquid cooling systems, this study demonstrates the substantial benefits of adopting liquid cooling technologies in AI data centers. Key findings indicate that liquid cooling can reduce energy consumption by up to 40% compared to traditional air-cooling methods. Additionally, PUE improvements ranging from 15% to 30% were observed, highlighting the enhanced energy efficiency achieved through liquid cooling. Furthermore, the study reveals a 20% decrease in server failure rates and a 10-15% improvement in computational performance due to the superior thermal management provided by liquid cooling. These enhancements are critical for maintaining the high availability and performance required by AI applications. The initial investment in liquid cooling infrastructure is justified by the long-term savings in energy costs and reduced maintenance requirements. This article contributes to the growing body of literature advocating for the adoption of liquid cooling in modern data centers, particularly those focused on AI workloads. The findings underscore the importance of liquid cooling in ensuring the sustainable growth and operational efficiency of AI data centers.

DOI: 10.61137/ijsret.vol.11.issue2.461

Published by: Kajal Tripathi

From Manual Input to Intelligent Execution: RPA-Driven Data Management in Camstar MES Environments
Authors:-Satish Kumar Nalluri, Varun Teja Bathini

Abstract-:RPA is being utilized in the manufacturing industry for data management and increased operational efficiency. The authors discuss the potential of Robotics Process Automation, or RPA, to revolutionize the automation of data entry and processing in Camstar Manufacturing Execution Systems (MES) systems. Many manufacturing systems, such as Camstar MES, are very manually input dependent – a factor that causes inefficiencies and errors and raises operational costs. Plus, RPA leads to automation of repetitive tasks, like data entry and data validation, thus minimizing errors and improving accuracy of data. By analyzing a semiconductor manufacturing firm, this paper assesses the concrete advantages of RPA such as more efficient production cycles, increased accuracy of data, and lower overall costs. It also looks into the quality and quantity of results obtained with RPA before and after its implementation. Any disadvantages, such as issues with system integration, employee buy-in, and upfront costs are discussed. Towards the end of the study recommendations are made for successful implementation of RPA, such as gradual or staged implementation of RPA, adequate training of staff using RPA, and ongoing monitoring and refining of RPA. The results show how RPA-based data management can inform smart advancements in manufacturing and improve manufacturing operations.

DOI: 10.61137/ijsret.vol.11.issue2.460

Published by: Kajal Tripathi

Authors: Research Scholor Mr. Arun Kumar Pyasi, Assistant Professor Mr. Hariram Sahu

Abstract: This study evaluates the extended performance and environmental benefits of Warm Mix Asphalt (WMA) prepared using a medium-setting bitumen emulsion and VG 30 binder. Building on prior mix design optimization, this work investigates moisture susceptibility and tensile strength performance across varying conditions. Indirect Tensile Strength (ITS) tests were conducted at 5°C to 40°C and showed that mixes with a 70:30 bitumen-emulsion ratio at 120°C achieved a peak ITS of 1.14 MPa at 25°C. Tensile Strength Ratio (TSR) values exceeded 80%, indicating strong resistance to moisture damage. Retained Stability tests confirmed the durability of the mix with a value of 85.6%, well above the minimum threshold. Additionally, fuel efficiency analysis for a hypothetical pavement section demonstrated a 25–30% reduction in diesel consumption when using WMA instead of HMA. This translated to a 28% reduction in CO₂ emissions per ton of mix. These findings reinforce the potential of emulsion-based WMA as a technically viable and environmentally superior alternative for sustainable pavement construction in India.

DOI: https://doi.org/10.5281/zenodo.15876742

Published by: vikaspatanker