Quantum communication is an emerging field that promises to revolutionize data transmission by leveraging the principles of quantum mechanics. This paper explores the fundamental concepts, underlying principles, and potential impact of quantum communication on future data transmission systems. The study delves into quantum key distribution (QKD), quantum teleportation, and quantum networks, highlighting their advantages over classical communication systems. A comparative analysis of classical cryptographic methods and quantum-enhanced security mechanisms is provided. Furthermore, the paper discusses the challenges associated with implementing quantum communication, such as decoherence, quantum error correction, and scalability. The methodology section outlines experimental setups, simulations, and practical implementations of quantum communication networks. The results emphasize the benefits of quantum encryption and the potential of quantum internet. The discussion explores real-world applications in banking, defense, and cloud computing. Finally, the paper concludes with future perspectives, emphasizing the necessity for ongoing research and technological advancements to achieve a fully functional quantum communication infrastructure.
Rajesh Sharma, Priya Natarajan· International Journal of Mod...· 0 citations
Disaster Risk Reduction (DRR) has emerged as a critical global priority in response to the increasing frequency, intensity, and complexity of natural and human-induced disasters. Climate change, rapid urbanization, environmental degradation, and socio-economic inequalities have significantly amplified disaster risks, particularly in developing and vulnerable regions. This paper presents a comprehensive multidisciplinary analysis of disaster risk reduction strategies by integrating perspectives from engineering, environmental science, social sciences, economics, public policy, and information technology. The study emphasizes that effective DRR cannot be achieved through single-discipline interventions but requires a holistic framework that combines structural and non-structural measures, community participation, governance mechanisms, and technological innovation. The paper systematically reviews existing DRR frameworks and international agreements, including the Sendai Framework for Disaster Risk Reduction, highlighting their strengths and limitations. A detailed literature survey examines recent research on hazard assessment, vulnerability analysis, resilience building, early warning systems, and post-disaster recovery. The proposed methodology adopts a systems-based approach, integrating qualitative and quantitative methods such as risk modeling, stakeholder analysis, and multi-criteria decision-making. Key performance indicators are used to evaluate the effectiveness of DRR strategies across different hazard contexts. Results indicate that multidisciplinary DRR strategies significantly enhance preparedness, reduce disaster losses, and improve recovery outcomes when compared to sector-specific approaches. The discussion underscores the importance of adaptive governance, data-driven decision-making, and inclusive community engagement. The paper concludes by proposing a scalable and adaptable DRR framework suitable for policymakers, practitioners, and researchers, contributing to sustainable development and resilience-building efforts worldwide.
Rajesh Sharma· International Journal of Eme...· 0 citations
Reinforcement learning-based adaptive resource management framework is proposed that enables cloud systems to autonomously learn optimal resource allocation policies through continuous interaction with the environment and significantly outperforms static and reactive baseline strategies in terms of resource utilization efficiency and response time stability.
Rajesh Sharma, Priya Natarajan· International Journal of Mac...· 0 citations