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hpzhou2885(sunshan4379´ú·¢): ½ð±Ò+5 2014-08-18 09:29:54
sunshan4379: ¼ìË÷EPI+1, ¸ÐлӦÖú£¡ 2014-08-18 09:30:02
Accession number:  20133516668204

  Title:  Delay included dynamic virus spreading process simulating
  Authors:  Zhou, Hai-Ping1   
  Author affiliation:  1 Computer Department, Guiyang College, Guiyang 550005, China  
  Corresponding author:  Zhou, H.-P. (hpzhou2885@163.com)  
  Source title:  2013 25th Chinese Control and Decision Conference, CCDC 2013
  Abbreviated source title:  Chin. Control Decis. Conf., CCDC
  Monograph title:  2013 25th Chinese Control and Decision Conference, CCDC 2013
  Issue date:  2013
  Publication year:  2013
  Pages:  1310-1313
  Article number:  6561128
  Language:  English
  ISBN-13:  9781467355322  
  Document type:  Conference article (CA)
  Conference name:  2013 25th Chinese Control and Decision Conference, CCDC 2013
  Conference date:  May 25, 2013 - May 27, 2013
  Conference location:  Guiyang, China
  Conference code:  98686  
  Publisher:  IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
  Abstract:  In classical virus spread model, the virus spreading process is described by infected probability, this process ignored some spreading details and the duration of contact. For this reason, we proposed a delay included dynamic virus spreading model and simulated the viruses' spreading process by cellular automata method. The unexpected result shows that the individual's moving behavior can hinder the viruses' spreading process as delay is existed. This conclusion broke with the idea that individuals' moving behavior improves viruses' spreading process, which is helpful for people to understand viruses' spreading phenomenon. © 2013 IEEE.
  Number of references:  8
  Main heading:  Viruses  
  Controlled terms:  Computer simulation  
  Uncontrolled terms:  Cellular Automata method  -  Delay  -  Moving behavior  -  Regular lattice  -  Simulation  -  Virus spreading  -  Virus spreading modeling  -  Virus spreads  
  Classification code:  461.9 Biology -  723.5 Computer Applications
  DOI:  10.1109/CCDC.2013.6561128
  Database:  Compendex
   Compilation and indexing terms, © 2014 Elsevier Inc.

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Accession number:  20133516668204
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