AI-Powered Smart Energy Management for Optimizing Energy Efficiency in High-Performance Computing Systems DOI

M. Jalasri,

Soumyashree M. Panchal,

K. Mahalingam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 329 - 366

Published: Sept. 27, 2024

The chapter discusses the need for efficient energy consumption in high-performance computing systems and proposes integration of artificial intelligence machine learning techniques to optimize efficiency. It explores AI-driven like reinforcement learning, neural networks, predictive analytics energy-aware scheduling, workload allocation, adaptive power management. effectiveness optimization strategies real-world HPC infrastructures, highlighting potential savings while maintaining computational performance. also future directions challenges AI-enabled smart management, including algorithm refinement, with emerging technologies, scalability considerations. holistic approach highlights transformative impact AI ML creating sustainable, energy-efficient paradigms within ecosystems.

Language: Английский

The Impact of NBA Implementation Across Engineering Disciplines DOI

S. Saravanan,

J. Chandrasekar,

S. Satheesh Kumar

et al.

Advances in higher education and professional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 229 - 252

Published: June 5, 2024

NBA principles and technologies have significantly impacted engineering disciplines, leading to social changes reshaping industries. NBA-inspired innovations influenced materials science, data analytics, public health, urban design, entertainment experiences. The study examines equity, access, ethical dimensions of NBA-driven innovations, focusing on privacy, algorithmic bias, commodification athlete performance. goal is foster inclusivity, sustainable development, fostering collaboration between the sports industry disciplines. This approach emphasizes transformative power sports-driven innovation in for societal betterment.

Language: Английский

Citations

18

Integrating VR and AR for Enhanced Production Systems DOI

K. Ch. Sekhar,

Rahul Ingle, E. Afreen Banu

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 90 - 112

Published: June 30, 2024

This chapter explores the integration of virtual reality (VR) and augmented (AR) in smart manufacturing systems, highlighting their transformative impact, diverse applications, challenges, ethical considerations. VR AR technologies offer immersive solutions for design, training, maintenance, decision-making, but concerns like data privacy, security, content integrity need to be addressed responsible usage user trust. The future is shaped by advanced hardware, AI integration, collaborative capabilities. These predictive maintenance strategies, enhanced collaboration, sustainable practices. However, regulatory compliance, creation, user-centric design are crucial effective implementation. Industry policy frameworks, technological innovation essential harnessing VR/AR's potential. Smart Manufacturing poised continuous improvement efficiency, productivity, sustainability.

Language: Английский

Citations

13

Study on Environmental and Social Impacts Through Electric Vehicles DOI

T. Surulivel Rajan,

C. R. Edwin Selva Rex,

Dhiresh S. Shastri

et al.

Advances in mechatronics and mechanical engineering (AMME) book series, Journal Year: 2024, Volume and Issue: unknown, P. 352 - 383

Published: July 26, 2024

Transitioning to electric vehicles (EVs) can significantly reduce environmental and social impacts, improve air quality, enhance equity, with higher energy efficiency when integrated renewable sources. Electric urban quality by reducing pollutants, respiratory cardiovascular diseases, enhancing the of life in areas through quieter operation. are gaining popularity due their benefits, such as improved public health, economic opportunities, potential address equity issues. The chapter explores necessity charging infrastructure, sustainable battery materials, consumer adoption barriers for transitioning a transportation system, suggesting solutions policies innovative technologies. highlights transformative impact on sustainability that leveraging advantages lead cleaner, healthier, more equitable future.

Language: Английский

Citations

11

Strategies for Carbon Footprint Reduction in Advancing Sustainability in Manufacturing DOI
P. Suresh, Alias Paul, B. Anjanee Kumar

et al.

Advances in chemical and materials engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 317 - 350

Published: June 28, 2024

This chapter emphasizes the significance of sustainable manufacturing processes in mitigating environmental impacts. It highlights strategies to reduce carbon footprints, improve operational efficiency, and enhance competitiveness. Important areas include renewable energy integration, efficiency measures, material waste reduction, supply chain optimization, technological innovations, best practices. Renewable sources like solar, wind, hydroelectric power can reliance on fossil fuels. Energy such as equipment upgrades energy-saving technologies, lower costs. Material reduction initiatives minimize resource consumption generation. A circular economy be promoted through recycling, reuse, waste-to-energy programs. Sustainable is innovations 3D printing, IoT-enabled systems, AI-driven optimization. Real-world case studies provide valuable insights.

Language: Английский

Citations

9

Integrating 5G and IoT Technologies in Developing Smart City Communication Networks DOI

Nagamani Molakatala,

Anil Kumar D.,

Uma Patil

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 147 - 170

Published: July 5, 2024

The chapter highlights the rising demand for effective, scalable, and networked systems as it addresses integration of 5G IoT technologies in smart cities. networks provide huge connection, speed, low latency, devices allow real-time data gathering analysis. Enhancing managing resources better, raising standard living locals are all possible with this synergy. Real-time transfer, quick decision-making, optimization energy distribution, transportation systems, waste management, public services just a few advantages that highlighted chapter. But also tackles issues like cybersecurity threats, infrastructure needs, privacy issues, legal frameworks. In order to build inclusive, resilient, sustainable cities, necessity cooperation between stakeholders, technology companies, governmental organizations.

Language: Английский

Citations

9

Artificial Intelligence-Infused Urban Connectivity for Smart Cities and the Evolution of IoT Communication Networks DOI
Santosh Kumar Jha, S. Jennathu Beevi, P. Hemavathi

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 113 - 146

Published: July 5, 2024

This chapter explored how artificial intelligence (AI) can be applied to internet of things (IoT) communication networks increase urban sustainability and connectivity. AI algorithms network performance has been enhanced by facilitating automated decision-making, predictive analytics, real-time data processing. The infrastructure become flexible with the environment. AI-powered traffic management systems that minimize pollution congestion have analyzing patterns optimizing signal timing. used for anomaly detection encryption improve IoT security privacy. It encourages trash management, environmental monitoring, development smart grids, all which livability sustainability.

Language: Английский

Citations

8

AI-Driven Job Displacement and Economic Impacts DOI

M. Ramarajan,

A. Dinesh,

Chitra Muthuraman

et al.

Advances in business information systems and analytics book series, Journal Year: 2024, Volume and Issue: unknown, P. 216 - 238

Published: May 17, 2024

This chapter discusses the ethical implications of AI-driven technologies, particularly job displacement and economic impact. It emphasizes need for transparency in AI algorithms decision-making processes to foster trust accountability. The paper also advocates proactive measures like reskilling upskilling programs empower workers future jobs mitigate adverse effects on employment stability. significance stakeholder engagement inclusive aligning deployment with societal values. role government policies preventing discrimination promoting equal opportunities. highlights ongoing monitoring evaluation assess displacement. By prioritizing principles, organizations can navigate AI's transformative potential while minimizing socio-economic impacts.

Language: Английский

Citations

5

Aeroponics Techniques for Improved Farming Using Artificial and Deep Learning techniques DOI

C. Amuthadevi,

E. Afreen Banu,

S. Sampath Kumar

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 118

Published: Feb. 7, 2025

This chapter will delve into the integration of aeroponics artificial intelligence and deep learning techniques for agricultural productivity its sustainability. is a no-soil farming method where plants grow in nutrient-rich mist. Therein lies couple major advantages: water efficiency an accelerated pace plant growth. The reasoning behind inclusion AI computer vision predictive analytics ability—how best it can help determine if this has potential to optimally run aeroponic systems. Monitoring health environmental state real time, using AI-driven sensors analytics, capable identifying data patterns predicting growth optimizing practices delivery nutrients. Some specific successful cases novel innovations are exemplified next, showing how new breakthroughs solve existing challenges agriculture, improve yield quality, ultimately reduce resource consumption.

Language: Английский

Citations

0

Future Human Resource Talent for Indian Information Technology (IT) Corporations Through Digital Ages DOI
Mohd Abdul Maroof, Shazia Shaikh, Mujtaba M. Momin

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 313 - 336

Published: April 2, 2025

The Indian IT sector is rapidly expanding, requiring a focus on attracting and nurturing young talent to maintain its competitive edge in the evolving market. research paper analyzes academic factors influencing job attraction, engagement, management among 100 graduates India. study explores HR strategies for retaining future-ready talent, revealing that India are not drawn remote jobs, despite high salaries. from attracted companies with strong brand value market recognition. This offers employees sense of pride security compared new startups small-scale companies. indicates should prioritize well-designed impactful practices attract graduates.

Language: Английский

Citations

0

Machine Learning to Analyze Human Development for Corporate Management DOI
Sreekanth Rallapalli, Sunita Vaibhav Gujar,

M. V. S. Sairam

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 161 - 194

Published: April 2, 2025

This chapter discusses ML techniques for analyzing human development and behavioral patterns in corporate management. The message is how becomes increasingly relevant decoding complex behavior, including cognitive development, social interaction, emotional intelligence. With massive amounts of data like digital footprints, media activity, biometric information, it's quite possible to identify trends predict future behavior provide insights personalization using models. significant algorithms are explained under two categories-supervised unsupervised learning-with emphasis on may contribute learning milestones abnormal behaviors the context case studies involving healthcare, education, work environments describing can positively optimize interventions, offer support mental health monitoring, decision-making processes. How affects privacy, model bias, need transparent AI systems also discussed.

Language: Английский

Citations

0