High-efficiency method for 3D visualization of marine environmental information

Li, Chun-xin; Zheng, Chunmiao

doi:10.1007/s12145-023-00946-4

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…In [10], the visualization of electromagnetic field flows was demonstrated. In [11], data on sea temperature (temperature and wind fields), including data on cloudiness and storm surges, were visualized. Furthermore, in [12], the theory of chaos and fractal geometry was analyzed in terms of its influence on culture and the literature.…”

Section: Introductionmentioning

confidence: 99%

Visualization of the Signals Entropy Structure Based on Walsh–Hadamard Functions

Stepanyan,

Lednev

2024

Symmetry

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New molecular genetic algorithms, as tools for the visualization and analysis of big data, have made it possible not only to illustrate the internal structure of DNA molecules within their parameters but also to explore the field of chaos theory, particularly to display processes and signals close to chaotic ones. This provides a new perspective on the problem of determining criteria for borderline states between order and chaos. This article demonstrates the differences between chaotic and quasi-chaotic signals when visualized with molecular genetic algorithms. It presents examples of molecular genetic mappings of signals generated using various pseudorandom noise generators, as well as acoustic signals. This article considers structural and integral (folded) mappings as one-dimensional and two-dimensional projections of the pattern. The authors illustrate the internal structure of the reconstructed signal mappings in spaces of fractional dimensionality, which is considered as a visualization of the entropy structure based on functional mappings in spaces of the fractional dimension. As a result of this research, it was found that the use of molecular genetic algorithms for visualizing information signals makes it possible to identify the so-called entropy structure of these signals. At the same time, the entropy structure of chaotic signals is absent.

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Section: Introductionmentioning

confidence: 99%

Visualization of the Signals Entropy Structure Based on Walsh–Hadamard Functions

Stepanyan,

Lednev

2024

Symmetry

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“…Furthermore, research on visualization technology for specific marine environments such as flow fields is still in the preliminary stage, and the selection of grid division and data preprocessing methods requires further exploration. Extensive research on multi-dimensional visualization technology for marine environments is needed [30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes

Guo¹,

Long²,

Zhang

et al. 2023

Sustainability

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The rapid development of coastal economies has aggravated the problem of pollution in the coastal water bodies of various countries. Numerous incidents of massive-scale marine life deaths have been reported because of the excessive discharge of industrial and agricultural wastewater. To investigate the diffusion of typical pollutants after discharge, in this study, a multi-process fusion simulation analysis model of pollutants under the action of ocean currents was established based on the concentration analysis method. Furthermore, key technologies involved, such as the parameter value, data selection, and visualization, were investigated. The iterative analysis and programming realization of three independent sub-processes, such as pollutant diffusion and transport, and the drift path and concentration distribution of pollutants after their discharge into the sea, were visualized. The case study revealed that the increase in the concentration of pollutants in the ocean was affected by the diffusion sub-process, and the transport sub-process plays a critical role in the long-distance transport of pollutants. The proposed method can provide technical support for marine environmental risk assessment and dynamic tracking of marine pollutants.

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High-efficiency method for 3D visualization of marine environmental information

Cited by 2 publications

References 33 publications

Visualization of the Signals Entropy Structure Based on Walsh–Hadamard Functions

Visualization of the Signals Entropy Structure Based on Walsh–Hadamard Functions

Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes

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