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2021 Vol.58, Issue 1S Preview Page

Review (Special Issue)

28 February 2021. pp. 61-65
Abstract
References
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Choi, Y., 2018. Analysis of patent trend for ICT-based underground mine safety management technology. Journal of The Korean Society of Mineral and Energy Resources Engineers, 55(2), p.159-164. 10.12972/ksmer.2018.55.2.159
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Chung, S., Jeon, J.Y., and Hwang, J.J., 2016. Standardization strategy of smart factory for improving SME's global competitiveness. Journal of Korea Technology Innovation Society, 19(3), p.545-571.
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Kim, B., Kim, J., and Yoo, K., 2019. Recycling status of gold, silver, platinum and palladium. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(4), p.359-366. 10.32390/ksmer.2019.56.4.359
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Kim, B.C., Chae, S., Kim, J., and Yoo, K., 2018. Oversea production status of gold, silver, platinum and palladium from scrap. Journal of the Korean Institute of Resources Recycling, 27(6), p.76-83.
5
Kim, D. and Kim, Y., 2020. Implications of the 6th national program for overseas resources development. Journal of The Korean Society of Mineral and Energy Resources Engineers, 57(4), p.392-397. 10.32390/ksmer.2020.57.4.392
6
Kim, S., 2019. Review of internet of things and open-source hardware technologies use in the mining industry. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.447-456. 10.32390/ksmer.2019.56.5.447
7
Lee, S., 2019a. Applications and prospects of digital twin technology in mineral and energy resource engineering. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.427-434. 10.32390/ksmer.2019.56.5.427
8
Lee, S., 2019b. Role of process mineralogy in processes to recover metals from mineral resources. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.548-560. 10.32390/ksmer.2019.56.5.548
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Suh, J., 2019. Utilization of augmented and virtual reality technologies in geoscience and mining. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.468-479. 10.32390/ksmer.2019.56.5.468
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Yi, H., 2019. Case analysis of applications for deep learning technology in the mining industry. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.435-446. 10.32390/ksmer.2019.56.5.435
11
Yoon, S., Choi, J.H., and Wee, D., 2019. Improvement of waste metal recovery efficiency using multivariate statistical and deep neural network analysis. Journal of The Korean Society of Mineral and Energy Resources Engineers, 56(5), p.535-547. 10.32390/ksmer.2019.56.5.535
Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 58
  • No :1
  • Pages :61-65
  • Received Date : 2021-01-15
  • Revised Date : 2021-02-15
  • Accepted Date : 2021-02-23