DOI QR코드

DOI QR Code

Advanced Technologies in Blockchain, Machine Learning, and Big Data

  • Park, Ji Su (Dept. of Computer Science and Engineering, Jeonju University) ;
  • Park, Jong Hyuk (Dept. of Computer Science and Engineering, Seoul National University of Science & Technology (SeoulTech))
  • Received : 2020.03.23
  • Accepted : 2020.04.20
  • Published : 2020.04.30

Abstract

Blockchain, machine learning, and big data are among the key components of the future IT track. These technologies are used in various fields; hence their increasing application. This paper discusses the technologies developed in various research fields, such as data representation, Blockchain application, 3D shape recognition and classification, query method, classification method, and search algorithm, to provide insights into the future paradigm. In this paper, we present a summary of 18 high-quality accepted articles following a rigorous review process in the fields of Blockchain, machine learning, and big data.

Keywords

References

  1. H. Woo, S. J. Jeong, and J. H. Huh, "Improvement of ITSM it service efficiency in military electronic service," Journal of Information Processing Systems, vol. 16, no. 2, pp. 246-260, 2020. https://doi.org/10.3745/JIPS.03.0134
  2. K. A. L. Khamis, H. Song, and X. Zhong, "Formal representation and query for digital contents data," Journal of Information Processing Systems, vol. 16, no. 2, pp. 261-276, 2020. https://doi.org/10.3745/JIPS.02.0130
  3. S. Kongwudhikunakorn and K. Waiyamai, "Combining distributed word representation and document distance for short text document clustering," Journal of Information Processing Systems, vol. 16, no. 2, pp. 277-300, 2020. https://doi.org/10.3745/JIPS.04.0164
  4. K. T. Song, S. I. Kim, and S. H. Kim, "A design for a Hyperledger Fabric Blockchain-based patch-management system," Journal of Information Processing Systems, vol. 16, no. 2, pp. 301-317, 2020. https://doi.org/10.3745/JIPS.03.0136
  5. Z. Cheng and N. Huang, "Risk assessment and decision-making of a listed enterprise's L/C settlement based on fuzzy probability and Bayesian game theory," Journal of Information Processing Systems, vol. 16, no. 2, pp. 318-328, 2020. https://doi.org/10.3745/JIPS.04.0156
  6. X. Tan, "Topic extraction and classification method based on comment sets," Journal of Information Processing Systems, vol. 16, no. 2, pp. 329-342, 2020. https://doi.org/10.3745/JIPS.04.0165
  7. H. Kanaan and A. Behrad, "Three-dimensional shape recognition and classification using local features of model views and sparse representation of shape descriptors," Journal of Information Processing Systems, vol. 16, no. 2, pp. 343-359, 2020. https://doi.org/10.3745/JIPS.02.0132
  8. M. Li, S. Deng, and L. Wang, "Ensemble of classifiers constructed on class-oriented attribute reduction," Journal of Information Processing Systems, vol. 16, no. 2, pp. 360-376, 2020. https://doi.org/10.3745/JIPS.04.0166
  9. S. Selvaraj, H. Kim, and E. Choi, "Offline-to-online service and big data analysis for end-to-end freight management system," Journal of Information Processing Systems, vol. 16, no. 2, pp. 377-393, 2020. https://doi.org/10.3745/JIPS.01.0051
  10. Z. Sun, X. Zhou, L. Liang, and Y. Mo, "Electromagnetic environment of transmission line based on full parameter online estimation," Journal of Information Processing Systems, vol. 16, no. 2, pp. 394-405, 2020. https://doi.org/10.3745/JIPS.04.0171
  11. L. Zhang, S. Li, Y. Guo, and X. Hao, "A method for k nearest neighbor query of line segment in obstructed spaces," Journal of Information Processing Systems, vol. 16, no. 2, pp. 406-420, 2020. https://doi.org/10.3745/JIPS.04.0167
  12. C. H. Roh and I. Y. Lee, "A study on electronic voting system using private Blockchain," Journal of Information Processing Systems, vol. 16, no. 2, pp. 421-434, 2020. https://doi.org/10.3745/JIPS.03.0135
  13. X. Zou, Q. Ren, H. Cao, Y. Qian, and S. Zhang, "Identification of tea diseases based on spectral reflectance and machine learning," Journal of Information Processing Systems, vol. 16, no. 2, pp. 435-446, 2020. https://doi.org/10.3745/JIPS.02.0133
  14. S. S. Lee, "Conceptual extraction of compound Korean keywords," Journal of Information Processing Systems, vol. 16, no. 2, pp. 447-459, 2020. https://doi.org/10.3745/JIPS.02.0131
  15. X. Ma, Z. Zhang, and S. Su, "Energy-aware virtual data center embedding," Journal of Information Processing Systems, vol. 16, no. 2, pp. 460-477, 2020. https://doi.org/10.3745/JIPS.02.0112
  16. Y. Liu and R. Li, "PSA: a photon search algorithm," Journal of Information Processing Systems, vol. 16, no. 2, pp. 478-493, 2020. https://doi.org/10.3745/JIPS.04.0168
  17. P. Vilakone, K. Xinchang, and D. S. Park, "Movie recommendation system based on users' personal information and movies rated using the method of k-clique and normalized discounted cumulative gain," Journal of Information Processing Systems, vol. 16, no. 2, pp. 494-507, 2020. https://doi.org/10.3745/JIPS.04.0169
  18. Y. Zhang, Z. Ma, and W. Dong, "Nonlinear quality indices based on a novel Lempel-Ziv complexity for assessing quality of multi-lead ECGs collected in real time," Journal of Information Processing Systems, vol. 16, no. 2, pp. 508-521, 2020. https://doi.org/10.3745/JIPS.04.0170