By Bingo Wing-Kuen Ling (auth.), Santo Banerjee, Lamberto Rondoni, Mala Mitra (eds.)
Chaos and nonlinear dynamics at first built as a brand new emergent box with its beginning in physics and utilized arithmetic. The hugely favourite, interdisciplinary caliber of the insights won within the previous few many years has spawned myriad purposes in just about all branches of technology and technology—and even way past. at any place the quantitative modeling and research of complicated, nonlinear phenomena are required, chaos concept and its tools can play a key position.
This moment quantity concentrates on reviewing extra suitable, modern purposes of chaotic nonlinear platforms as they practice to a number of the state of the art branches of engineering. This encompasses, yet isn't really constrained to, issues equivalent to the unfold of epidemics; digital circuits; chaos regulate in mechanical units; safe conversation; and electronic watermarking.
Featuring contributions from energetic and best examine teams, this assortment is perfect either as a reference paintings and as a ‘recipe ebook’ packed with attempted and established, profitable engineering applications.
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Extra info for Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. 2
Soc. Civ. Eng. J. Comp. Civ. Eng. aip. 0000034 11. : Integrating geographical information systems and multiple criteria decisionmaking methods. Int. J. Geogr. Inform. Syst. 9(3), 251–273 (1995) 12. : Uncertainty management in expert systems. IEEE Expert Syst. 5(2), 29–48 (1990) 13. S. 14496, [Part 2]: Indian Standard Preparation of Landslide Hazard Zonation Maps in Mountainous Terrains – Guidelines. Part 2 Macro-Zonation. Bureau of Indian Standard, New Delhi, pp. 1–19, 1998 14. : Fuzzy sets. Inform.
Banerjee et al. ), Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. K. Ghosh et al. 2 A sample from KB showing the variables and assignments Sl no. Fuzzy variable Subvariable Weightage 1. 7 36 –45 26 –35 16 –25 < 16 2. 4 3. 3 Function based rating (Signum function) 9 7 5 3 1 (Gaussian function) 9 8 6 4 3 1 (Signum function) 9 7 5 3 1 attributes such as geology, structure, surface cover, vegetation cover, the variability of terrain parameters and, distribution of landslides of an area.
If susceptibility maps of larger scales are to be produced then site-specific parameters need to be taken into account which is another area of work. References 1. , Suri, S: A knowledge based system for assessment of landslide hazard. In Proceedings of the Indian Geotechnical Conference, vol. 1, pp. 393–396. IGS, Ahmedabad (2005) 2. : Temporal remote sensing data and GIS application in landslide hazard zonation of part of Western Ghat, India. Int. J. Rem. Sens. K. Ghosh et al. 3. : A probabilistic approach to predictive spatial data fusion for geological hazard assessment.