Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation : transportation /

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Bibliographic Details
Meeting name:International Conference on Electrical and Information Technologies for Rail Transportation (2nd : 2015 : Zhuzhou, China)
Imprint:Berlin : Springer, 2016.
Description:1 online resource (xxvi, 801 pages) : color illustrations
Language:English
Series:Lecture notes in electrical engineering, 1876-1100 ; volume 378
Lecture notes in electrical engineering ; v. 378.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11253730
Hidden Bibliographic Details
Other authors / contributors:Qin, Yong (Of Beijing jiao tong da xue), editor.
Jia, Limin, 1978- editor.
Feng, Jianghua, editor.
An, Min (Professor of Construction and Risk Management), editor.
Diao, Lijun, editor.
ISBN:9783662493700
3662493705
3662493683
9783662493687
9783662493687
Digital file characteristics:text file
PDF
Notes:English.
Online resource; title from PDF title page (SpringerLink, viewed March 14, 2016).
Summary:The proceedings collect the latest research trends, methods and experimental results in the field of electrical and information technologies for rail transportation. The topics cover intelligent computing, information processing, communication technology, automatic control, and their applications in rail transportation etc. The proceedings can be a valuable reference work for researchers and graduate students working in rail transportation, electrical engineering and information technologies.
Other form:Printed edition: 9783662493687
Standard no.:10.1007/978-3-662-49370-0
Table of Contents:
  • Metro Station Safety Status Prediction Based on GA-SVR
  • Fault Decoupling Method of Railway Door System Based on the Extended Petri Net
  • Experimental Research on Fiber Bragg Gratings High-speed Wavelength Demodulation Method
  • High Speed Train System Reliability Modeling and Analysis
  • Urban Railway Network Traffic Prediction with Spatio-temporal Correlations Matrix
  • Outlier Detection for Time-Evolving Complex Networks.