STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

  • Published Subscription Review Article

    Role of Solid-State Materials in Development of devices for Internet of Medical Things

    By Anantham Srujana Jyothi, K.V.V. Subba Rao, Manas Kumar Yogi

    Abstract: The Internet of Medical Things (IoMT) represents a transformative paradigm in healthcare delivery, integrating connected medical devices, sensors, and wearable technologies to enable real-time patient monitoring and personalized treatment. Solid-state materials form the foundational infrastructure of IoMT systems, encompassing semiconductors, energy storage materials, sensing materials, and flexible electronics. This article explores the critical role of advanced solid-state materials in enabling miniaturization, energy efficiency, biocompatibility, and enhanced sensing capabilities essential for …

    Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article

  • Published Subscription Review Article

    A Review of Shell Programming Applications in Blockchain and Web3 Infrastructure

    By K.V.V. Subba Rao, Anantham Srujana Jyothi, Manas Kumar Yogi

    Abstract: Shell programming has long been an essential tool for automation and system management, but its role in emerging technologies like Blockchain and Web3 infrastructure has become increasingly prominent. This review explores how shell scripting supports various processes within decentralized ecosystems, including node management, smart contract deployment, data synchronization, and continuous integration workflows. As blockchain networks scale in complexity, shell scripts provide efficient solutions for orchestrating automation, security audits, and distributed …

    Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article

  • Published Subscription Review Article

    Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study

    By Ch. Manikanta Kalyan, Manas Kumar Yogi

    Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …

    Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article

  • Published Subscription Review Article

    Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design

    By Mangadevi Atti, Yamuna Mundru, Manas Kumar Yogi

    Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …

    Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article

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