An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine

Ricardo Carreño, Verónica Aguilar, Daniel Pacheco, Marco Antonio Acevedo, Wen Yu, María Elena Acevedo

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Knowledge society blockchain is one of the most powerful and recent tools to make the internet environment safer and reliable. Manufacturing has traditionally been dominated by standard designs that are mass-produced, due to the fact, that custom production causes additional costs that make it less affordable than mass production. This paper proposes to develop a designer expert system for IoT installation layout designs, using blockchain distributed system based on a machine learning, with users entering data to the expert system by a smart bot software. This expert system will work using extreme learning machine as inference engine; therefore, this is a shell to develop any expert system with fast learning. The whole system is represented by a smart contract with a value linked to the value of the expert system, the more this expert system be quoted on the web, the more the shares of the smart contract will cost.

Original languageEnglish
Pages (from-to)87-104
Number of pages18
JournalInternational Journal of Information Technology and Decision Making
Volume18
Issue number1
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Block-chain
  • blockchain maker expert system
  • expert system
  • extreme learning machine
  • initial coin offer
  • internet of things

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