The expansion of the partial differential equations models of the ABR system and the condition of the communication process

Masahiro Aruga, Aritho Endo, Kiyotaka Takagi, Hiroshi Tanaka

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

Abstract

The ABR characters have been used especially in medical fields. But the ABR detail system is not sufficiently clear. Therefore the studies of the ABR system and the Life Support system have been performed. Especially from such view point as information and communication process the ABR characters are needed to be discussed. In this paper the expanded partial differential equation models of the ABR system are derived and from these characters such a kind of the ABR system model as the information and communication process model is proposed taking account of the concept to be based on the Peirce's Semiotics. And some examples of the method to analyze the ABR system are shown to discuss the background theory of the ABR system from the view point of the information and communication process and improve the Life Support system from the phase of such a theory.

Original languageEnglish
Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages2014-2018
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China
Duration: 2009 Dec 82009 Dec 11

Publication series

NameIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Other

OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
CountryChina
CityHong Kong
Period09/12/809/12/11

Keywords

  • Peirce's interpretant
  • The abr system
  • The expanded partial differential equations

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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