A Proposal for Edge Application Framework for Smart Factory

Masaki Sakai, Tsuyoshi Nakajima, Kazuya Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to improve the productivity of a factory, it is often the case to create an inference model by analyzing data from the machines in the production line, and then to develop an edge application which judges the quality of the products or diagnoses faults of the machines in real time. However, it is difficult to generate an edge application only by deploying the model, because of the variety of data collection and preprocessing methods. To solve this problem, a framework for developing edge applications semi-automatically from inference models is proposed. An actual edge application is prototyped, which proves that the proposed framework concept is feasible.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020
EditorsW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1622-1627
Number of pages6
ISBN (Electronic)9781728173030
DOIs
Publication statusPublished - 2020 Jul
Event44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 - Virtual, Madrid, Spain
Duration: 2020 Jul 132020 Jul 17

Publication series

NameProceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020

Conference

Conference44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020
CountrySpain
CityVirtual, Madrid
Period20/7/1320/7/17

Keywords

  • Edge application framework
  • Edgecross
  • PMML

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Education

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