The study of chaotic algorithm characteristics using fractal analysis methods

Author(s):  
V.V. Kolesov ◽  
A.A. Potapov
2021 ◽  
Vol 63 ◽  
pp. 102245
Author(s):  
Deepika V ◽  
V. JeyaLakshmi ◽  
P. Latha ◽  
Rajiv Raman ◽  
S. Srinivasalu ◽  
...  

2019 ◽  
Vol 7 (2) ◽  
pp. 48-57 ◽  
Author(s):  
Natalia Ampilova ◽  
Igor Soloviev ◽  
Jean-Georges Barth

2021 ◽  
Vol 1 (42) ◽  
pp. 120-125
Author(s):  
Igor Tishaninov ◽  

The level of soil compaction is influenced by physical and mechanical properties, climatic conditions, the amount of annual precipitation, the type of cultivated crops, and other factors. Excessive compaction of the soil impairs water permeability and air access to the roots, resulting in reduced crop yields, increased soil erosion, reduced fertilizer efficiency, which leads to an increase in the cost of material and technical resources for tillage. Therefore, it is important to solve this problem with minimal energy and material costs. Such a solution is the loosening of the soil, which can be done naturally and with the help of mechanical loosening. (Research purpose) The research purpose is in evaluating the effectiveness of loosening the soil with a U-shaped ripper at different angles of the ploughshare using fractal analysis methods, which is necessary to reduce additional loads during further soil treatment. (Materials and methods) A dirt channel with a special cart was used to consider physical models of meliorative machines and specialized working equipment. (Results and discussion) Author conducted six experiments in a soil tray for each corner of the ploughshare separately. Nineteen ground sections were made. The structure of the soil before and after treatment depends on the mode of operation of the ripper model and the design features of its working bodies. (Conclusions) The more energy is spent on the treatment of homogeneous areas, the more the soil structure changes. To quantify the structural changes in the nature of the cultivated soil, we used its fractal characteristics, in particular, the fractal dimension. The soil sections have fractal properties, and, accordingly, fractal methods can be used for their analysis. The article proves the applicability of fractal methods in the analysis of the quality of tillage and the degree of its loosening.


Fractals ◽  
1994 ◽  
Vol 02 (03) ◽  
pp. 437-440 ◽  
Author(s):  
WILLIAM A. JOHNSEN ◽  
CHRISTOPHER A. BROWN

The objective of this work is to compare fractal-based, topographic characterization parameters calculated by several different fractal analysis methods. Four fractal characterization methods (compass, patchwork, box counting, and 2-point correlation) are systematically applied to five topographic data sets, which encompass a wide range of scale, and the results are compared. The compass and patchwork methods calculate similar values for the fractal dimension and smooth/rough crossover. The box and 2-point correlation methods calculate similar values for the fractal dimension. The compass and patchwork methods are capable of calculating the smooth/rough crossover.


2007 ◽  
Vol 7 (4) ◽  
pp. 479-484 ◽  
Author(s):  
Y. Ida ◽  
M. Hayakawa ◽  
S. Timashev

Abstract. Two different analysis methods; (1) mono-fractal analysis (based on Higuchi method) and (2) flicker noise spectroscopy, have been applied to the same ULF (frequency less than 10 Hz) electromagnetic data observed at Guam during 3 years including the 1993 August Guam earthquake. The results by these two methods are found to be very consistent with each other; that is, some precursory effects seem to start about 3 months before the earthquake. This gives us a strong support to the self-organizing critical process before the Guam earthquake.


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