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Flow Visualization Techniques: A Review

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Trends in Applied Knowledge-Based Systems and Data Science (IEA/AIE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

Abstract

Flow visualization is an approach focuses on methods to get information from the flow field datasets either in 2 or 3 dimensional. Researchers have presented many visualization techniques with similar goal, which is to enrich the information provided by the visualization. The differences between each technique cause misunderstanding to new researchers on the implementation, advantages, and their limitations. This paper will review and discuss some of the available techniques by classifying them based on the dimension and type of flow datasets. The type of flow is either steady or unsteady, and the dimensions are 2, 2.5, and 3 dimensional. The classification assists readers to identify and choose the appropriate method based on their requirement. This paper also highlights several important information related to the history and the foundation of flow visualization before reviewing the methods in details. Discussion and tables are included to enhance the readers understanding about the differences between reviewed methods.

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Authors and Affiliations

  1. Media and Game Innovation Centre of Excellence, UTM-IRDA Digital Media Centre, Universiti Teknologi Malaysia, Skudai, 81300, Johor, Malaysia

    Yusman Azimi Yusoff, Farhan Mohamad, Mohd Shahrizal Sunar & Ali Selamat

Authors
  1. Yusman Azimi Yusoff
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  2. Farhan Mohamad
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  3. Mohd Shahrizal Sunar
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  4. Ali Selamat
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Corresponding author

Correspondence to Yusman Azimi Yusoff .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

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© 2016 Springer International Publishing Switzerland

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Yusoff, Y.A., Mohamad, F., Sunar, M.S., Selamat, A. (2016). Flow Visualization Techniques: A Review. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_46

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  • DOI: https://doi.org/10.1007/978-3-319-42007-3_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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