Construction of a Real-time Communication Platform for Regional Printmaking Using Virtual Reality and Big Data Analysis for Engineering Education

Abstract

Modern training techniques and improved education practises are critical for maintaining the attention of the millennial population and equipping them with cutting-edge technologies. Innovative concepts and efficient approaches are needed to instil the required competencies and educate skills for learning industrial environments. Visualization techniques, particularly Virtual Reality (VR), have been stressed in the newest Industry 4.0 paradigm to teach and training young pupils sustainably. A networking community's online communications study on printmaking based on neural training and evolutionary method was suggested in this paper to examine the characteristic extraction technique of printmaking prototype, design depending on deep learning. A regional printmaking system with big data analytics using Virtual Reality (RPMS-BDAVR) is proposed in this article. The study's findings revealed that both characteristic extraction strategies were efficient and stable. The evolutionary matrix tool has been used to retrieve the features of consumer desires evolutionary processes approach. The procedure was found to be practically based on the results of the experiments. It can be deduced that the viability of online communication studies of printmaking conception systems based on deep neural networks and innovativeness tactic was verified by combining arts and sciences creation while willing to sacrifice time spent using the method image classification tasks and interactive transformation tactic.