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

33 publications

  • Published Subscription Review Article Special issue

    AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review

    By Manas Kumar Yogi, Darapu Uma, Yamuna Mundru, Manam Siva Sai

    Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article

  • Published Subscription Original Research

    Optimizing Multi-Cloud Infrastructure: Advanced Bash-Based Automation for Automated Security Patching and Health Monitoring in Hybrid Linux Environments

    By Manas Kumar Yogi

    Abstract: The proliferation of multi-cloud and hybrid Linux environments has introduced significant operational complexity, particularly in maintaining security compliance and system reliability across diverse infrastructure silos. Traditional patch management approaches, relying on manual interventions or disparate vendor-specific tools, suffer from latency, configuration drift, and limited visibility. This article presents a novel, lightweight automation framework constructed entirely in advanced Bash scripting to address automated security patching and real-time health monitoring across hybrid …

    Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 Read article

  • Published Subscription Review Article

    Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems

    By Kakinada Mahitha Sri Ishwarya, Chegondi Revathi, Manas Kumar Yogi

    Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …

    Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article

  • Published Subscription Review Article

    Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species

    By Sathi Lakshmi Teja Sri, Manas Kumar Yogi

    Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …

    Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article

  • Published Subscription Review Article

    A Comprehensive Study of Risk-Adaptive Access Control in Advanced Database Management Systems

    By Manas Kumar Yogi

    Abstract: The current control methods for accession of a crucial resource often struggle to provide adequate security in dynamic and complex advanced database management systems (DBMS). These static models lack the flexibility to adapt to evolving threats and contextual changes, leaving potential vulnerabilities. Risk-Adaptive Access Control (RadAC) emerges as a sophisticated solution, integrating real-time risk assessment into authorization decisions to dynamically adjust access permissions. This review article provides a comprehensive study …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    A Review of Locking Protocols for Concurrency Control in Parallel Databases

    By Donga Dhanushya, Manas Kumar Yogi

    Abstract: In modern database systems, many transactions may run at the same time. When several users try to access the same data or update the data simultaneously, then it creates a problem such as inconsistency data, lost updates or misinformation and may lead to conflicts between the transactions and deadlocks. To avoid these types of issues and maintain the correctness of the database, concurrency control protocols are mainly used. This paper …

    Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article

  • Published Subscription Review Article

    An Investigative Study of Competition-Aware Incentive Mechanisms in Mobile Ad Hoc Networks

    By Manas Kumar Yogi, Nadiminti Sai Priya Satwika

    Abstract: Mobile ad hoc networks (MANETs) present a unique communication paradigm characterized by their decentralized and dynamic nature, where nodes rely on each other for packet forwarding and network maintenance. However, the inherent selfishness of individual nodes and resource constraints often leads to non-cooperative behaviors, significantly degrading network performance. This investigative study delves into the critical role of competition-aware incentive mechanisms in fostering sustainable cooperation within MANETs. Competition, a portmanteau of …

    Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article

  • Published Subscription Review Article

    Application of Proportional-Share with Punishment Principle for Resource Sharing in Parallel Computing Applications

    By Manas Kumar Yogi

    Abstract: Efficient resource sharing is a cornerstone of high-performance parallel computing. While proportional-share scheduling has long been a foundational approach for distributing resources according to predefined weights, its effectiveness can be compromised by tasks that over-consume their allocated share, leading to system-wide performance degradation and unfairness. This review article investigates the application of the “Proportional-Share with Punishment” (PSWP) principle, a hybrid scheduling paradigm designed to address this challenge. PSWP integrates the …

    Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article

  • Published Subscription Review Article

    Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review

    By Sai Ganesh Palli, Manas Kumar Yogi

    Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …

    Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article

  • Published Subscription Review Article

    Investigative Study of Next Generation Socio-Technical Systems in E-Commerce

    By P. Devi Sravanthi, Manas Kumar Yogi

    Abstract: The evolution of e-commerce has entered a transformative phase characterized by the integration of advanced socio-technical systems that fundamentally reshape how businesses and consumers interact in digital marketplaces. This review examines the emerging paradigms of next-generation socio-technical systems in e-commerce, encompassing artificial intelligence, blockchain technology, immersive experiences, and human-centered design principles. Through a comprehensive analysis of recent literature and technological developments, this study investigates how these systems create synergies between …

    Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 27–33 Read article

  • Published Subscription Original Research

    Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems

    By Sai Ganesh Palli, Manas Kumar Yogi

    Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …

    Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article

  • Published Subscription Review Article

    Critical Review of Impact of UNIX in Development of Military Computing Paradigms

    By Atti Manga Devi, Yamuna Mundru, Manas Kumar Yogi

    Abstract: The evolution of military computing systems has been profoundly influenced by the integration and continuous advancement of UNIX operating systems since their inception in the early 1970s. This paper presents a comprehensive review of the pivotal role UNIX has played in shaping the foundational architecture of modern military computing—spanning areas such as command-and-control infrastructures, real-time data processing, mission-critical software, and cybersecurity protocols. By tracing the historical development and technical progression …

    Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 08–16 Read article

  • Published Subscription Review Article

    Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems

    By Yamuna Mundru, Atti Manga Devi, Manas Kumar Yogi

    Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …

    Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article

  • Published Subscription Review Article

    Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review

    By Yamuna Mundru, Atti Manga Devi, Manas Kumar Yogi

    Abstract: This comprehensive review explores the current landscape of privacy preservation techniques in multimedia applications, offering a detailed examination of their effectiveness, limitations, and future directions. As the use of multimedia data continues to grow across diverse sectors such as healthcare, surveillance, social media, and entertainment, ensuring the confidentiality and integrity of this data has become a pressing concern. The study covers a broad spectrum of privacy-preserving approaches, from conventional cryptographic …

    Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article

  • Published Subscription Review Article

    A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics

    By Atti Manga Devi, Yamuna Mundru, Manas Kumar Yogi

    Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …

    Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article

  • Published Subscription Review Article

    Green Q-Commerce: Balancing Speed and Sustainability in Hyper-Fast Delivery Systems

    By Yamuna Mundru, Atti Manga Devi, Manas Kumar Yogi

    Abstract: The rapid expansion of quick commerce (q-commerce) has transformed consumer expectations with ultra-fast deliveries, yet its environmental impact—marked by carbon-intensive logistics, excessive packaging waste, and energy-heavy operations—poses significant sustainability challenges. This review examines how the q-commerce sector can reconcile speed with ecological responsibility through innovative solutions, including electrified last-mile delivery (e-bikes, electric vehicles, drones), circular packaging models (reusable containers, biodegradable materials), and artificial intelligence (AI)-driven logistics optimization (route efficiency, demand …

    Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 22–27 Read article

  • Published Subscription Review Article

    Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models

    By Manas Kumar Yogi

    Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …

    Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article

  • Published Subscription Review Article

    Role of Generative AI for Advanced Shell Language Design

    By Atti Manga Devi, Manas Kumar Yogi

    Abstract: This study explores the emerging field of applying Artificial Intelligence (AI), specifically generative AI, to enhance shell scripting, a crucial skill for system administration and automation. While the formal design of entirely new shell languages using AI remains a long-term prospect, the current focus is on augmenting how existing shell languages are used for improving the scripting experience. This involves leveraging AI for tasks like automated script generation, intelligent code …

    Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 22–27 Read article

  • Published Subscription Review Article

    A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants

    By Yamuna Mundru, Manas Kumar Yogi

    Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …

    Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article

  • Published Subscription Review Article

    Differential Privacy-Aware Data Sanitization for Multi-Level Security

    By Manas Kumar Yogi

    Abstract: Multi-level security (MLS) models are fundamental for enforcing mandatory access control in high-security environments such as government, military, healthcare, and finance. However, traditional MLS frameworks, including the Bell-LaPadula and Biba models, often create rigid data silos, preventing efficient data utilization. Differential privacy (DP) presents a novel solution by enabling controlled information leakage while preserving confidentiality. By injecting statistical noise into query results, DP allows lower-clearance users to access sanitized versions …

    Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article

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