IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v160y2020ics0040162520310647.html
   My bibliography  Save this article

Digital protection and inheritance of ancient villages in southwest minority areas under the strategy of rural revitalization

Author

Listed:
  • Huang, Zhi Meng
  • Liang, Yan Min

Abstract

The growth in urbanization leads to a decline in traditional agriculture in Asia, and consequently, may result in the loss of cultural heritage. The central task of developers and researchers is to obtain and preserve as much reliable information on the heritage item as possible so that it could be recreated in the future. Digital technologies may not only determine the dimensional features of an object but also collect information about its structure and composition. This work offers a novel method to examine the cultural heritage sites, which combines synchronized laser triangulation and laser induced breakdown spectroscopy (LIBS). The results obtained through the application of this method revealed that LIBS was as accurate in detecting the composition of dyes as the IR spectrometry. The proposed method provides complete information of the historical relics (i.e., color, surface reliefs, and chemical composition). Furthermore, the technology is suitable for examining large complex objects in field conditions. This possibility will be addressed in future works.

Suggested Citation

  • Huang, Zhi Meng & Liang, Yan Min, 2020. "Digital protection and inheritance of ancient villages in southwest minority areas under the strategy of rural revitalization," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:tefoso:v:160:y:2020:i:c:s0040162520310647
    DOI: 10.1016/j.techfore.2020.120238
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520310647
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120238?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xu Zhang & Jianxiang Wang & Kai Fei & Quan Zhang, 2018. "On-Machine Optical Probe Based on Discrete Rotational Symmetric Triangulation," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-20, July.
    2. Shweta Kaushik & Charu Gandhi, 2019. "Ensure Hierarchal Identity Based Data Security in Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(4), pages 21-36, October.
    3. Dawei Tu & Pan Jin & Xu Zhang, 2019. "Geometrical Model of Laser Triangulation System Based on Synchronized Scanners," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    2. Kai Xin & Jingyuan Zhao & Tianhui Wang & Weijun Gao, 2022. "Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    3. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    4. Mengchen Lian & Yanjun Li, 2024. "The Spatial Patterns and Architectural Form Characteristics of Chinese Traditional Villages: A Case Study of Guanzhong, Shaanxi Province," Sustainability, MDPI, vol. 16(21), pages 1-28, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anupama Mishra & Neena Gupta & B. B. Gupta, 2021. "Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 47-62, May.
    2. Hinge, Gilbert & Surampalli, Rao Y. & Goyal, Manish Kumar & Gupta, Brij B. & Chang, Xiaojun, 2021. "Soil carbon and its associate resilience using big data analytics: For food Security and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Islam, Md Rafiqul & Liu, Shaowu & Biddle, Rhys & Razzak, Imran & Wang, Xianzhi & Tilocca, Peter & Xu, Guandong, 2021. "Discovering dynamic adverse behavior of policyholders in the life insurance industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Pang, Sulin & Xia, Lianhu, 2021. "Automatic classification and identification algorithms for single-environment risk and their application in social changes," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Jin, Xin & Zuo, Xiangbin & Dong, Xiaoli & Dong, YanJiao & Ding, Huanhuan, 2021. "Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. Kumar, Nikhil & Poonia, Vikas & Gupta, B.B. & Goyal, Manish Kumar, 2021. "A novel framework for risk assessment and resilience of critical infrastructure towards climate change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    7. Chaudhary, Pooja & Gupta, Brij B. & Chang, Xiaojun & Nedjah, Nadia & Chui, Kwok Tai, 2021. "Enhancing big data security through integrating XSS scanner into fog nodes for SMEs gain," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:160:y:2020:i:c:s0040162520310647. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.