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Generalised convolution algorithm for modelling state‐dependent systems.

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Title: Generalised convolution algorithm for modelling state‐dependent systems.
Authors: Kaliszan, Adam1 (AUTHOR) adam.kaliszan@put.poznan.pl, Głąbowski, Mariusz1 (AUTHOR), Stasiak, Maciej1 (AUTHOR)
Source: IET Circuits, Devices & Systems (Wiley-Blackwell). Sep2014, Vol. 8 Issue 5, p378-386. 9p.
Abstract: This study proposes a new method for calculations of the blocking probability in multiservice state‐dependent systems. In the method proposed in this study the occupancy distribution is determined on the basis of an appropriately modified convolution operation. This operation is of a universal applicability and provides an opportunity to model approximately any state‐dependent systems. The results of the calculations were compared with the results of the simulation experiments of some selected multiservice systems and with the results provided by other analytical methods that are available in the literature of the subject. The study has confirmed high accuracy of the proposed method. The effectiveness of the computational process carried out according to the proposed method can be significantly increased as a result of parallelisation of computation. [ABSTRACT FROM AUTHOR]
Copyright of IET Circuits, Devices & Systems (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 148143367
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Generalised convolution algorithm for modelling state‐dependent systems.
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  Data: <searchLink fieldCode="AR" term="%22Kaliszan%2C+Adam%22">Kaliszan, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> adam.kaliszan@put.poznan.pl</i><br /><searchLink fieldCode="AR" term="%22Głąbowski%2C+Mariusz%22">Głąbowski, Mariusz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stasiak%2C+Maciej%22">Stasiak, Maciej</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22IET+Circuits%2C+Devices+%26+Systems+%28Wiley-Blackwell%29%22">IET Circuits, Devices & Systems (Wiley-Blackwell)</searchLink>. Sep2014, Vol. 8 Issue 5, p378-386. 9p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study proposes a new method for calculations of the blocking probability in multiservice state‐dependent systems. In the method proposed in this study the occupancy distribution is determined on the basis of an appropriately modified convolution operation. This operation is of a universal applicability and provides an opportunity to model approximately any state‐dependent systems. The results of the calculations were compared with the results of the simulation experiments of some selected multiservice systems and with the results provided by other analytical methods that are available in the literature of the subject. The study has confirmed high accuracy of the proposed method. The effectiveness of the computational process carried out according to the proposed method can be significantly increased as a result of parallelisation of computation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IET Circuits, Devices & Systems (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1049/iet-cds.2013.0479
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      – Code: eng
        Text: English
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        PageCount: 9
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      – TitleFull: Generalised convolution algorithm for modelling state‐dependent systems.
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            NameFull: Kaliszan, Adam
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            NameFull: Głąbowski, Mariusz
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            NameFull: Stasiak, Maciej
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              M: 09
              Text: Sep2014
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              Y: 2014
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