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Intangible Cultural Heritage Protection Based on MAR Algorithm

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Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 138))

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Abstract

Nvshu is an ancient gender script circulating in Jiangyong County, Hunan and its adjacent areas. At present, with the rapid development of national economy and culture, the inheritance and development of Nvshu culture is facing many difficulties, and the protection of Nvshu cultural resources is urgent. Under the background of the integration of science and technology, in order to protect the gradual loss of Nvshu intangible culture, a strategy for the protection of Nvshu culture using modern digital management technology is proposed. This paper analyzes the protection principles of Nvshu intangible cultural heritage, uses the MAR model to establish the Nvshu intangible cultural heritage database, analyzes the user’s satisfaction with the database function through the MAR algorithm, and carries on the Nvshu cultural inheritance by means of digital collection and digital restoration, and strengthens The spread of Nvshu culture provides a certain reference for other intangible cultural heritage protection work.

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Authors and Affiliations

  1. School of Arts and Design, Hubei University of Technology, Wuhan, Hubei, China

    Jian Rao & Xinyue Zheng

Authors
  1. Jian Rao
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  2. Xinyue Zheng
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Corresponding author

Correspondence to Xinyue Zheng .

Editor information

Editors and Affiliations

  1. School of Business Administration, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Amrita School of Engineering, Chennai, Tamil Nadu, India

    A. G. Sreedevi

  3. Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

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Rao, J., Zheng, X. (2022). Intangible Cultural Heritage Protection Based on MAR Algorithm. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_17

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