A study of a landscape evaluation method using the fractal dimension

2005 ◽  
Vol 40.3 (0) ◽  
pp. 613-618
Author(s):  
Tatsuo Takase ◽  
Iwao Okutani ◽  
Daisuke Nagase
2005 ◽  
Vol 40 (0) ◽  
pp. 103-103
Author(s):  
TATSUO TAKASE ◽  
IWAO OKUTANI ◽  
DAISUKE NAGASE

2014 ◽  
Vol 670-671 ◽  
pp. 258-262 ◽  
Author(s):  
Ji Li ◽  
Xin Wu

Coal is a natural porous media, its porosity and structural integrity influenced the gas adsorption and desorption characteristics greatly, as well as physical and mechanical properties of coal. Scanning electron microscopy (SEM) is applied to acquire SEM image of four kinds of coal samples at different zoom levels, and the box dimension can be worked out based on the pore preprocessing of SEM images. Then, the numerical value of box dimension is used to describe the development degree of the four kinds of coal sample and four development degrees’ sequence. At last, the intrinsic relevance between fractal dimension and other parameters is analyzed through mathematic method. The results show as follows: coal sample has self-similarity characteristic; the fractal dimension is related to both the total number of pores and porosity degree; the data of the coal pore, analyzed through fractal dimension, are consistent with that through traditional method; what’s more, fractal dimension has more advantages in describing accuracy and simplicity.


2019 ◽  
Vol 2019 ◽  
pp. 1-21
Author(s):  
X.-M. Zhang ◽  
D. X. Zhou ◽  
M. Chen

The idea of diesel engine health evaluation is put forward, and the calculation flow, fast algorithm, and influencing factors of wavelet fractal dimension are analyzed. Through the real vehicle experiment, the corresponding relationship between the fractal dimension of the wavelet and the health condition of the diesel engine is calculated and analyzed. Three quantitative expression parameters, age health degree, dimension health degree, and comprehensive health degree, are defined considering the age and working condition of diesel engine. Finally, the consistency of health degree with vibration intensity, acceleration time, deceleration time, and fuel consumption was confirmed. It has been proved that it is feasible to evaluate the health of diesel engine with health degree.


2010 ◽  
Vol 97-101 ◽  
pp. 4080-4083 ◽  
Author(s):  
Lei Geng ◽  
Hua Yan Zhong

The formation of WEDM surface is a complicated process. There are many factors which make machined surface topography have the characteristics of complex and irregular, and impact using performance of parts. The work investigated microscopic features of the WEDM surface topography based on power spectral density and fractal theory, and proposed power spectral density evaluation method of the WEDM surface. The fractal dimension of the WEDM surface was calculated by structure function method. The physical meaning of the fractal dimension of the WEDM surface was described. The result shows that topography of the WEDM surface exhibits strong fractal characteristics within a certain scale. The processing parameters and pulse power performance will affect the fractal dimension D. The fractal dimension D has a certain relationship with the surface roughness Ra. It is more reasonable to use the fractal dimension D as well as the surface roughness Ra together to evaluate WEDM surface quality.


2020 ◽  
Vol 26 (63) ◽  
pp. 701-706
Author(s):  
Mayo SONETAKA ◽  
Masami KOBAYASHI

2019 ◽  
Vol 11 (10) ◽  
pp. 168781401988156 ◽  
Author(s):  
Jiejie Ji ◽  
Qiang Yao ◽  
Faming Wu ◽  
Hongtao Li

The particle size distribution of granular blasting materials has a vital influence on the filling quality of earth-rockfill dams. The engineering experience-based method used to evaluate the particle size distribution has shortcomings at both the theoretical and practical aspects. This article proposes a new evaluation method based on the fractal theory. Grading sieve tests on granular materials, mass fractal analysis of particle size distribution, and a probability distribution model test of the characteristic parameters are used to revise the functional relationships between the fractal dimension D and the uniformity coefficient/curvature coefficient ( Cu/ Cc) of the grading curve. The feasibility of using D to evaluate the particle size distribution and the optimal fine grain content is then analyzed and determined. According to the results, the geometric shapes of the granular blasting materials have fractal characteristics, and their particle size distribution has a fractal distribution. The ranges of D where the rockfill and transition materials have a good particle size distribution are D = 2.254–2.529 and D = 2.358–2.559, corresponding to optimal fine grain content of 1.953%–11.805% and 10.268%–23.123%, respectively. Fractal dimension has a solid theoretical basis and strong practical applicability as an evaluation index for the particle size distribution of granular blasting materials.


2012 ◽  
Vol 588-589 ◽  
pp. 994-997
Author(s):  
Ying Liang ◽  
Qing Yang Xu

The suitability evaluation has an important influence on suitable-matching region selection of geomagnetism matching navigation. Geomagnetic anomalies have a fractal characteristic. Fractal dimension can describe the self-similar characteristics and subtle changes of irregular, broken, uneven and infinite detail form of geomagnetic anomalies. A comprehensive evaluation function based on fractal characteristics was established, and the ranks of region suitability were gotten finally.


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