Development of ontology-based multiplatform adaptive scientific visualization system

Ryabinin, Konstantin; Чуприна, Светлана

doi:10.1016/j.jocs.2015.03.003

Cited by 19 publications

(9 citation statements)

References 6 publications

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“…The core of the developed algorithm is the method of building sleek 2D curves avoiding misplaced extremes that we proposed more than a year ago [3]. Since then, this algorithm was intensively tested in the production by visualizing different real-world data within the multiplatform charting library NChart3D [21] and scientific visualization system SciVi [22]. The proposed generalization of this algorithm to the 3D case is as well integrated into both NChart3D and SciVi.…”

Section: Resultsmentioning

confidence: 99%

Building and Visualization of Sleek 3D Surfaces without Misplaced Extremes

Ryabinin¹,

Matkin²

2019

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The paper is devoted to the visualization of functional dependencies expressed as () by building sleek 3D surfaces based on discrete sets of points. The criteria of sleek surface quality are formulated taking into account the needs of scientific visualization and visual analytics. The most important criterion is the absence of misplaced extremes and oscillations on the result surface, because such artifacts can deliver false information about the process being represented by the visualized data. The methods of building smooth surfaces in the most popular scientific visualization software are examined against the formulated criteria and it is discovered that the misplaced extremes are an issue in modern visualization tools. To tackle this problem the new approach of building sleek surfaces is proposed. This approach is based on the previously developed algorithm of building smooth 2D curves that was generalized to the three-dimensional case. The developed surface building algorithm consists of the following main steps. Assuming to have the input data as a regular grid of 3D points, which correspond to the table-defined function (), we first propose to build the set of smooth 2D curves along X and Z axes. Afterwards, we propose to build bicubically blended Coons patches for all quads bounded by each 4 neighbor points from the original data set. Then we discretize each Coons patch by emitting new points to reach needed surface resolution. Next, we triangulate the created set of points and calculate vertex normals using smoothing groups algorithm. Last, we smooth the field of normals using Gaussian blur function. The proposed algorithm meets the formulated criteria and ensures high visual quality of result surfaces. It was integrated into multiplatform charting library NChart3D and scientific visualization system SciVi, where it proved its correctness and stability by solving real-world scientific visualization tasks.

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Section: Resultsmentioning

confidence: 99%

Building and Visualization of Sleek 3D Surfaces without Misplaced Extremes

Ryabinin¹,

Matkin²

2019

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“…1. This architecture underlies the SciVi system [4] designed by the authors of this paper in collaboration with the Nulana Ltd. (an IT company located in Perm).…”

Section: New Architecture For Scientificmentioning

confidence: 99%

“…In [2,4], we have put for- Ontologies ward and proved the hypothesis stating that, in order to adapt a scientific visualization system to third-party solvers, it is sufficient to use application ontologies without axiomatics (A = ∅), the so-called lightweight ontologies. An application ontology is an ontology designed for specific use or application focus (in contrast to a domain ontology that represents concepts describing a part of the world without application focus).…”

Section: Automatic Adaptationmentioning

confidence: 99%

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A unified approach to adapt scientific visualization systems to third-party solvers

Ryabinin

Чуприна

2016

Program Comput Soft

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This paper presents a new unified approach to adapt scientific visualization systems to third-party solvers implemented on different software and hardware platforms. This approach allows building multiplatform visualization systems, enables automatic conversion of input and output data from any solver into a rendering-compatible format, and provides real-time generation of high-quality images. The automated adaptation of visualization systems to third-party solvers is based on ontological engineering methods. Multiplatform portability is provided by the automatic generation of a graphical user interface (GUI) for each particular operating system and by preprocessing the data to be rendered by using heuristic-based tools, which ensures compatibility with different hardware and software platforms, including desktop computers and mobile devices. In addition, an original anti-aliasing algorithm is proposed to ensure high quality of resulting images. Based on the proposed approach, a multiplatform scientific visualization system called SciVi is developed, which is successfully used for solving various real-world scientific visualization problems from different application domains.

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“…In [14], Erdbrink and Krzhizhanovskaya study a differential evolution method to identify the coefficients of second-order differential equations, often found in physics and engineering under vibration. In [15], Ryabinin et al propose methods and tools for multi-platform adaptive visualization systems. The breadth of disciplines covered in these papers demonstrates the multi-disciplinary nature of Computational Science.…”

Section: Introductionmentioning

confidence: 99%