Cognitive Engineering for Next Generation Computing

2Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges

Janmenjoy Nayak¹*, P. Suresh Kumar², Dukka Karun Kumar Reddy², Bighnaraj Naik³ and Danilo Pelusi⁴

¹Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), K Kotturu, India

²Dept. of Computer Sc. & Engg., Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam, India

³Dept. of Computer Application, Veer Surendra Sai University of Technology, Burla, India

⁴University of Teramo, Agostino Campus, Teramo, Italy

Abstract

One of the most considerable and emerging methodologies, defined by the integration of physical and computational processes as cyber-physical systems. These systems are emphasized to supervise the data processing and synchronize it among the cyber computational processes and physically connected systems. Machine learning crafts the intelligent control process by instilling astute self-learning processes with automated and indicative capabilities. The main point of this literature is to give overall survey of cyber-physical system challenges and to accomplish the ideal degree of integration in automation and intelligence in diverse domains for the progress of emerging systems. This chapter aims to provide the advances and challenges for significant research and development of existing and future cyber physical-based technologies using machine learning methods. The research challenges are primarily summarized as i) large-scale ...