Abstract:
Several applications adapt the smart technologies to the existing versions to make the application more comfortable to its consumers, in which the technologies such as In...Show MoreMetadata
Abstract:
Several applications adapt the smart technologies to the existing versions to make the application more comfortable to its consumers, in which the technologies such as Internet of Things (IoT), Artificial Intelligence and so on. The adaptation of such technologies provides a huge support to the organizations and individuals to attain the commercial and non-commercial needs in good manner. The logic of Internet of Things provides a great support to automate the organizations, industries and even a residential buildings in proper way using such powerful technology advancements as well as it provides a way to the users to operate and monitor the respective place in global perception without any range restrictions. In this paper, the logic of Internet of Things is applied to the industrial automation needs and attain the benefits from that in correct manner. This is done with the abilities of Artificial Intelligence as well and the proposed logic is named as Artificial Intelligence Assisted Network Paradigm (AIANP). The proposed AIANP provides a huge support to automation industry to control and monitor the industrial environment without any security lackings and delay by means of associating the AI logic in its approach. This is achieved by means of associating the internet enabled services to the industry to operate the machineries accordingly. In literature lots of IoT based automation approaches are available but all are strucked up with certain limitations and lackings, so that a new approach is required to resolve the issues over conventional automation technologies. This paper provides a robust industrial automation abilities to the users to control and monitor the industry in proper way using proposed Artificial Intelligence Assisted Network Paradigm. And the resulting section provides the proper proof for the proposed approach efficiency and security effectiveness in graphical manner.
Published in: 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
Date of Conference: 28-29 January 2022
Date Added to IEEE Xplore: 15 April 2022
ISBN Information: