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Journal of Flow Visualization and Image Processing
Главный редактор: Krishnamurthy Muralidhar (open in a new tab)

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ISSN Печать: 1065-3090

ISSN Онлайн: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

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A HEURISTIC STREAMLINE PLACEMENT TECHNIQUE FOR VISUALIZATION OF ELECTRIC CURRENT FLOW

Том 13, Выпуск 1, 2006, pp. 53-66
DOI: 10.1615/JFlowVisImageProc.v13.i1.40
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Краткое описание

Streamline techniques are frequently applied for scientific visualization of two- and three-dimensional electric fields. Streamline distributions are expected to reflect important features of the underlying fields such as the locations of sources and sinks as well as variations of the field density. Streamline techniques fulfilling these demands in arbitrary fields are currently not developed.
In this work, we present a heuristic technique, which aims at creating a linear relationship between a streamline distribution and the density of an underlying electric current field. The technique is based on a sequential optimization algorithm for placement of seed points of streamlines. In each step, a set of random trial seed points is created. Each point of the trial set is temporarily added to the set of best seed points. Streamlines are generated from the enhanced set and the fit of their distribution and the field density is determined. The best point is selected and added to the set of best seed points. The iteration ends after generation of a pre-given number of best seed points. Several examples illustrate results of this technique applied to electric current fields of small complexity and in more extensive cardiothoracic electric fields. Additionally, we characterized, with statistical studies, the influence of parameters of the algorithm on the relationship between streamline distribution and field density.

ЦИТИРОВАНО В
  1. Johnson Chris R., Tricoche Xavier, Biomedical Visualization, in Advances in Biomedical Engineering, 2009. Crossref

  2. Marchesin Stephane, Cheng-Kai Chen , Ho Chris, Kwan-Liu Ma , View-Dependent Streamlines for 3D Vector Fields, IEEE Transactions on Visualization and Computer Graphics, 16, 6, 2010. Crossref

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