Paper
23 August 2023 The principle and state-of-art applications of self-similar structure
Junpei Cui
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840C (2023) https://doi.org/10.1117/12.3000019
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
The self-similarity structure is very common in people’s real life. For example, on the decorations of the walls, on the art works, even used by scientists to data prediction. This research first introduced some common methods to calculate the dimensions of fractals. Then illustrated some natural fractals and how to represent them with matrix transformations and matrix multiplications. Besides, this paper introduced some properties of each transformation. Afterwards, this study analyzed a classic 2D self-similar structure called Koch Curve and used the method demonstrated before better illustrated how the dimension of an artificial fractal can be calculated. According the analysis, there are more method to calculate the fractal dimension. However, only the simplest method will be introduced in this article. At last, this study described the process to applicate the fractal knowledge on coastline calculating. Moreover, there is also some discussion about the limitations the fractals and its outlooks. Overall, these results shed light on guiding further exploration of the self-similar structure applications and generating the chaos matter.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junpei Cui "The principle and state-of-art applications of self-similar structure", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840C (23 August 2023); https://doi.org/10.1117/12.3000019
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KEYWORDS
Fractal analysis

Chaos

Modulation

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