MVB-Based Dynamic Supervision of Docks in Traffic Memory

Jiang Ming Deng; Te Fang Chen; Shu Cheng

doi:10.4028/www.scientific.net/AMR.403-408.2728

Paper Titles

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Seismic Response Analysis of Suspension Arch Bridge
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A Real-Time System for Pedestrian Detection Based on GMM and HOG
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MVB-Based Dynamic Supervision of Docks in Traffic Memory
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408MVB-Based Dynamic Supervision of Docks in Traffic...

MVB-Based Dynamic Supervision of Docks in Traffic Memory

Abstract:

A high reliability of Traffic Memory(TM) working condition is of vital importance to information transfer in MVB. In order to avoid bus traffic overflows, the minimum possible time intervals or loading ratios of TM for a given number of ports were calculated. The longer supervision period it had, the more number of docks could be supervised. The number of docks supervised, during supervision intervals, was submitted to Normal distribution ( Ν(μ,σ²)). From the possibility distribution function it could σfind maximum possibility of the number of docks in working. From the disturbance rejection test of the fixed factor σ , a reasonable setting of sink-time supervision interval could be made to guarantee a high reliability for TM working condition.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2728-2731

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2728

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Online since:

November 2011

Authors:

Jiang Ming Deng, Te Fang Chen, Shu Cheng

Keywords:

Disturbance Rejection, Docks Supervision, Loading Ratio, MVB, Normal Distribution

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References

[1] IEC. Electronic railway equipment – Train communication network – Part 1: TCN-Train Communication Network General Architecture(2008).

DOI: 10.3403/30205443u

Google Scholar

[2] Peter. E et al: Use of the standardized Integrated Communication Systems on Vehicles and trains. (IPEC 93, Tokyo, 1993).

Google Scholar

[3] Bombardier. MITRAC CC MVBC02C. Canada. Bombardier Company(2006).

Google Scholar

[4] Olsen T. L, van der Mei. R.D. Polling systems with periodic server routeing in heavy traffic: distribution of the delay. Journal of Applied Probability, Vol. 40(2003), pp.305-331.

DOI: 10.1239/jap/1053003546

Google Scholar

[5] Frigui I, Alfa A.S. Analysis of a discrete time table polling system with MAP input and time-limited service discipline. Telecommunication Systems - Modeling, Analysis, Design and Management, Vol. 12(1999), pp.51-77.

Google Scholar

[6] Q.F. Li. Research and design of the new generation of MVBC: master's thesis Chengdu: university of electronic science and technology of China(2005).

Google Scholar

[7] Koopmans L H, Owen B, Rosenblatt J I. Confidence intervals for the coefficient of variation for the normal and log-distribution. Biometrika. Vol. 51(1964), pp.25-32.

DOI: 10.1093/biomet/51.1-2.25

Google Scholar

[8] J. J. E. Slotine: Applied Nonlinear Control, Prentice-Hall, London, Sidney, Toronto, Mexico, New Delhi, Tokyo, Singapore, Rio de Janeiro, New Jersey(1991).

Google Scholar