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A hierarchical clustering based method to evaluate reuse of rare earth tailings under cloud computing environment

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Abstract

Because of their unique electronic, magnetic and optical features, the rare earth has become an important strategic resource. Moreover, improving the exploitation of rare earth resources is very significant. To our knowledge, for the first time the hierarchical clustering technology under Map Reduce environment is utilized to process the experiment data of the tailings of rare earth ion in this paper. According to analyze of the experiment data, the leaching trend of rare earth ions in tailings under optimum conditions is researched. Finally, the data analysis shows that when the volume of sampling location is 400 ml, it can not only increase the concentration of rare earth ions in the leaching solution to ensure the economy and maneuverability of subsequent rare earth enrichment, but also insure the leaching rate of rare earth in the tailings and improve the utilization ratio of rare earth resources.

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Acknowledgements

This work is supported by the NSFC (61772454, 61772280, 51364015), the research fund from Jiangsu Technology & Engineering Center of Meteorological Sensor Network in NUIST under Grant (KDXG1301), the PAPD fund from NUIST, and the Human Resources Development program (20164030300230) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Trade, Industry and Energy. Professor Jeong-Uk Kim is the corresponding author.

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Authors and Affiliations

  1. School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China

    Yongjun Ren

  2. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, China

    Yongjun Ren

  3. School of Information Engineering, Yangzhou University, Yangzhou, China

    Jin Wang

  4. School of Architecture & Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou, 341000, China

    Xiujuan Feng

  5. Department of Electrical Engineering, Sangmyung University, Seoul, Korea

    Geumran Younn & Jeong-Uk Kim

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  1. Yongjun Ren
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  2. Jin Wang
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  3. Xiujuan Feng
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  4. Geumran Younn
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  5. Jeong-Uk Kim
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Correspondence to Jeong-Uk Kim.

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Ren, Y., Wang, J., Feng, X. et al. A hierarchical clustering based method to evaluate reuse of rare earth tailings under cloud computing environment. Cluster Comput 22 (Suppl 1), 1805–1814 (2019). https://doi.org/10.1007/s10586-017-1654-1

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  • DOI: https://doi.org/10.1007/s10586-017-1654-1

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