4 publications
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Published Subscription Review Article
Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote SensingBy K.V.V. Subba Rao, Anantham Srujana Jyothi, Manas Kumar Yogi
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article →
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Published Subscription Review Article
A Review of Shell Programming Applications in Blockchain and Web3 InfrastructureBy 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 →
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Published Subscription Review Article
Hybrid Graceful QoS Degradation in Distributed Operating SystemsBy K.V.V. Subba Rao, Manas Kumar Yogi
Abstract: Maintaining Quality of Service (QoS) in distributed operating systems is a critical challenge, especially in dynamic and resource-constrained environments. Traditional QoS mechanisms often fail to adapt effectively to unforeseen failures or load spikes, leading to abrupt service disruptions. This study reviews the concept of hybrid graceful QoS degradation, a paradigm that combines multiple strategies to ensure continuous, albeit potentially reduced, service availability. By intelligently integrating techniques like resource reservation, priority-based …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article →
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Published Subscription Review Article
Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility ManagementBy K.V.V. Subba Rao, Manas Kumar Yogi
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article →