• DocumentCode
    3356485
  • Title

    Statistical synthesis and optimal decomposition in the intelligent monitoring systems design

  • Author

    Platonov, Anatoliy A. ; Winiecki, Wiestaw

  • Author_Institution
    Inst. of Electron. Syst., Warsaw Univ. of Technol., Poland
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    The paper presents new results concerning formalisation and optimisation of the intelligent monitoring systems design. The attention is focused on the development of conceptual and mathematical frameworks, based on optimal synthesis theory adapted to the specifics of IMS design. This theory is an efficient and widely used tool of analytical support in radio-technique systems design. The results of the theory create a possibility for optimisation of decomposition of the initial design task into the smaller, mutually connected task specifications for engineering design of the system main components. Relations between the statistical synthesis and (sub-) optimal decomposition of the IMS project are analysed. The proposed approach can be used for improvement of the existing software environment employed as a tool of IMS virtual analysis and verification
  • Keywords
    computerised monitoring; intelligent sensors; optimisation; engineering design; intelligent monitoring systems design; intelligent sensors; mathematical frameworks; optimal decomposition; optimal synthesis theory; optimisation; statistical synthesis; task specifications; virtual analysis; Design engineering; Design methodology; Design optimization; Energy consumption; Intelligent sensors; Intelligent systems; Monitoring; Noise reduction; Paper technology; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.
  • Conference_Location
    Crimea
  • Print_ISBN
    0-7803-7164-X
  • Type

    conf

  • DOI
    10.1109/IDAACS.2001.941978
  • Filename
    941978