Innovations in Energy Harvesting Technologies for Wireless Sensor Networks: Towards Self-Powered Systems

Mahadasa, Ravikiran; Goda, Dileep Reddy; Surarapu, Pavani

doi:10.18034/apjee.v6i2.727

Cited by 10 publications

(4 citation statements)

References 24 publications

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“…Although much research has been done on Industry 4.0, more is needed about its implications for sustainable industrial development. Developing policies and strategies supporting sustainability in the industrial sector requires understanding the forces driving this change and the obstacles and dynamics involved (Mahadasa et al, 2019).…”

Section: Statement Of the Problemmentioning

confidence: 99%

Driving the Shift to Sustainable Industry 5.0 with Green Manufacturing Innovations

Yerram

2021

Asia Pac. j. energy environ.

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With an emphasis on the factors driving the shift towards sustainability in industrial sectors—such as drivers, obstacles, impacts, constraints, and policy implications—this study examines the shift towards Sustainable Industry 5.0 with Green Manufacturing Innovations. The research aims to investigate the effects of sustainable industrial development on the economy, environment, and society, identify important forces and obstacles, and evaluate the significance of the findings for policymakers and regulatory agencies. The study's methodology entails a thorough analysis of the body of research on green manufacturing techniques, the transition to a sustainable industrial sector, and legislative frameworks. The main conclusions emphasize Sustainable Industry 5.0's enormous economic potential, favorable environmental effects, and social ramifications. The study also points out restrictions on the generalizability and availability of data, and it emphasizes how crucial it is to fortify regulatory frameworks, fund R&D, increase stakeholder engagement, and support capacity building to propel the industrial sectors' transition to sustainability. These findings' policy implications are significant in propelling sustainable industrial development and expediting the shift towards Sustainable Industry 5.0.

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Section: Statement Of the Problemmentioning

confidence: 99%

Driving the Shift to Sustainable Industry 5.0 with Green Manufacturing Innovations

Yerram

2021

Asia Pac. j. energy environ.

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“…Researchers can improve the materials' capacity to support loads and withstand deformation through careful alignment and hierarchical architecture of fibers. Textiles may bear greater loads and strains without breaking when constructed in hierarchical structures with reinforcing layers or aligned threads because these structures have better tensile strength (Mahadasa et al, 2019). Furthermore, textiles with hierarchical organization can optimize their flexibility and drapability-two qualities crucial for wearability and comfort.…”

Section: Mechanical Strength and Flexibilitymentioning

confidence: 99%

Hierarchical Structuring of Fibrous Materials: Toward Tailored Properties for High-Performance Textile Products

Mahadasa

2021

Eng. int. (Dhaka)

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This study aims to determine whether fiber materials with hierarchical organization can improve the qualities of textile goods for high-performance uses. The primary goals are to examine functionalization strategies, identify future possibilities in textile engineering, investigate hierarchical structuring methodologies, and analyze hierarchically structured textiles' mechanical and thermal properties. An extensive examination of extant literature and secondary data sources is carried out to examine the approaches, uses, and difficulties related to hierarchical organization. Important discoveries emphasize how hierarchically organized fabrics have improved mechanical strength, thermal behavior, and functional qualities. The discussion of policy implications follows, focusing on the role of industry cooperation, workforce development, sustainability programs, research funding, and industrial collaboration in improving hierarchically structured textiles. The study's findings highlight the revolutionary potential of fibrous materials' hierarchical organization for promoting sustainability and innovation in the textile sector.

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“…Ethical AI Frameworks: Fairness, accountability, and transparency (FAT) principles govern responsible AI development and implementation. Fairness includes reducing algorithmic biases, encouraging transparency, and holding AI-driven judgments accountable (Mahadasa et al, 2019). Organizations may ensure fair HR decisionmaking and avoid AI adoption risks by following ethical AI standards.…”

Section: Theoretical Framework: Efficiency and Fairness Perspectivesmentioning

confidence: 99%

Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness

Khair,

Mahadasa,

Tuli

et al. 2020

Glob. discl. econ. bus.

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This study aims to evaluate the impact of artificial intelligence (AI) on the efficiency and fairness of human resources (HR) decision-making. The key goals are to determine how artificial intelligence improves decision-making efficiency, investigate the fairness issues involved in AI-driven human resource practices, and make policy suggestions for engaging in ethical HR practices. The approach utilized is known as secondary data analysis. It is used to synthesize insights and patterns by pulling upon previously published literature and empirical investigations; even though artificial intelligence technologies present an opportunity to optimize human resource operations and improve organizational performance, significant findings demonstrate that these technologies also create ethical problems connected to algorithmic biases and an absence of transparency. Regulatory oversight, ethical standards, data governance, diversity and inclusion programs, and constant monitoring and assessment are some of the policy implications that should be considered to guarantee responsible deployment of artificial intelligence in human resource contexts. When it comes to human resource decision-making, companies can embrace the revolutionary potential of artificial intelligence (AI) while maintaining ethical standards if they prioritize justice, openness, and accountability.

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Innovations in Energy Harvesting Technologies for Wireless Sensor Networks: Towards Self-Powered Systems

Cited by 10 publications

References 24 publications

Driving the Shift to Sustainable Industry 5.0 with Green Manufacturing Innovations

Driving the Shift to Sustainable Industry 5.0 with Green Manufacturing Innovations

Hierarchical Structuring of Fibrous Materials: Toward Tailored Properties for High-Performance Textile Products

Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness

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