Fractal Mechanism Analysis and Simulation of Information System

Abstract:

To find the best design and development model for the information system, this paper discusses the structural formation of the information system and the kinetics of the evolution of information system from the perspective of non-equilibrium statistical mechanics and generalized entropy in the system. Based on this view, physical laws for the evolution dynamics of information system are expressed as the maximum generalized entropy principle (MGEP). Combining with self-organizing feature map algorithm, we have analyzed the effect on the system structure from the exchange between information flows. That is to say, an information system has fractal characteristics. Except for these theories, we have done some numerous simulation on information systems of 10 major cities in China's to verify the fractal characteristics, which has great significant to the guidance of achieving full use of resources, accelerating the process of information society and constructing information systems.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 683-689
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.683
• Online since: January 2012
• Authors: Zhi Qiao, Li He Chai
• Keywords: Dynamic, Fractal Characteristic, Generalized Entropy, Information System, MGEP

References

[1] E. Jantsch, The self-organizing universe: scientific and human implications of the emerging paradigm of evolution, New York: Pergamon Press, (1980).

[2] L.H. Chai and D.S. Wen, Hierarchical self-organization of complex systems, Chemical Research in Chinese Universities, 2004, 20(4): 440-445.

[3] G. Nicolis and I. Prigogine, Exploring complexity, New York: W.H. Freeman＆ Company, (1989).

[4] X. Zhang and L.H. Chai. A new statistical dynamic analysis of ecosystem patterns, Environmental Modeling & Assessment, 2010, 15(6): 519-529.

DOI: 10.1007/s10666-010-9222-6

[5] L.M. Chen and L.H. Chai, A theoretical analysis on self-organized formation of microbial biofilms, Physica A: Statistical Mechanics and its Applications, 2006, 370(2), 793-807.

DOI: 10.1016/j.physa.2006.03.022

[6] Q.Y. Feng and L.H. Chai, A new statistical dynamic analysis on vegetation patterns in land ecosystems, Physica A: Statistical Mechanics and Its Applications, 2008, 387(14): 3583-3593.

DOI: 10.1016/j.physa.2008.01.118

[7] L.H. Chai and H.B. Li, A new theoretical analysis on organizing principles of water supply networks, Journal of Water Supply, 2007, 56(4): 233-244.

DOI: 10.2166/aqua.2007.002

[8] L.H. Chai, A theoretical analysis of bubble interaction in boiling systems, Int. J. Thermal Science, 2004, 43(11): 1067-1073.

DOI: 10.1016/j.ijthermalsci.2004.03.002

[9] L.H. Chai and X.F. Peng, Statistical features of transition to stable film boiling, Int. J. Thermal Science, 2005, 44(2): 147-153.

DOI: 10.1016/j.ijthermalsci.2004.06.008

[10] C.H. Huo and L.H. Chai, Physical principles and simulations on the structural evolution of Eco-Industrial systems, The Journal of Cleaner Production, 2008, 16(18): 1995-(2005).

DOI: 10.1016/j.jclepro.2008.02.013

[11] L.H. Chai, Statistical dynamic features of sludge drying systems, Int. J. Thermal Science, 2007, 46(8): 802-811.

DOI: 10.1016/j.ijthermalsci.2006.10.011

[12] State Information Center, China information yearbook 2006, Beijing: China Statistical Publishing House, (2006).