Emerging Technologies in Smart Computing, Sustainable Energy, and Next-Generation Mobility: Enhancing Digital Infrastructure, Secure Networks, and Intelligent Manufacturing

Authors

  • Botlagunta Preethish Nandan, Venkata Narasareddy Annapareddy, Venkata Bhardwaj Komaragiri, Anil Lokesh Gadi, Srinivas Kalisetty

Abstract

In this paper, we discuss some recent emerging technologies in three different areas: smart computing, sustainable energy, and next-generation mobility. In the area of smart computing, we present some recent techniques in the automotive industry, recommendation systems, and computing driven by biomolecules, and discuss a couple of future directions. In the area of sustainable energy, we propose a decentralized edge AI and blockchain-based transactive energy network aiming to reduce market clearing time and improve the secrecy and integrity of prosumers and suppliers, and a machine learning-based response surface method predicting the sound absorption coefficient for the micro-perforated design of acoustic absorbers, and outline more potential applications of emerging technologies for sustainable energy. In the area of next-generation mobility, we introduce a post-decision-constrained trajectory optimization for automated vehicles at roundabouts and present a multiresolution control algorithm for immersive telepresence of autonomous vehicles. Finally, we provide some conclusions and future research directions.

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Published

2022-08-19

How to Cite

Botlagunta Preethish Nandan. (2022). Emerging Technologies in Smart Computing, Sustainable Energy, and Next-Generation Mobility: Enhancing Digital Infrastructure, Secure Networks, and Intelligent Manufacturing. Mathematical Statistician and Engineering Applications, 71(4), 16749–16773. Retrieved from https://philstat.org/index.php/MSEA/article/view/2967

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Articles