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Advanced Technologies in Blockchain, Machine Learning, and Big Data

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초록

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 recognitionand classification, query method, classification method, and search algorithm, to provide insights into the future paradigm. In this paper, we present a summary of 18 highquality accepted articles following a rigorous review process in the fields of Blockchain, machine learning, and big data.

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 recognitionand classification, query method, classification method, and search algorithm, to provide insights into the future paradigm. In this paper, we present a summary of 18 highquality accepted articles following a rigorous review process in the fields of Blockchain, machine learning, and big data.

참고문헌 (18)

  1. Hanchul Woo, "Improvement of ITSM IT Service Efficiency in Military Electronic Service", JIPS(Journal of Information Processing Systems), 16(2), pp.246~260 (2020), 한국정보처리학회[DOI]
  2. Khamis Abdul-Latif Khamis, "Formal Representation and Query for Digital Contents Data", JIPS(Journal of Information Processing Systems), 16(2), pp.261~276 (2020), 한국정보처리학회[DOI]
  3. Supavit Kongwudhikunakorn, "Combining Distributed Word Representation and Document Distance for Short Text Document Clustering", JIPS(Journal of Information Processing Systems), 16(2), pp.277~300 (2020), 한국정보처리학회[DOI]
  4. Kyoung-Tack Song, "A Design for a Hyperledger Fabric Blockchain-Based Patch-Management System", JIPS(Journal of Information Processing Systems), 16(2), pp.301~317 (2020), 한국정보처리학회[DOI]
  5. Zhang Cheng, "Risk Assessment and Decision-Making of a Listed Enterprise’s L", C Settlement Based on Fuzzy Probability and Bayesian Game Theory, 2020, pp.16(2), 318~328[DOI]
  6. Xiaodong Tan, "Topic Extraction and Classification Method Based on Comment Sets", JIPS(Journal of Information Processing Systems), 16(2), pp.329~342 (2020), 한국정보처리학회[DOI]
  7. Hussein Kanaan, "Three-Dimensional Shape Recognition and Classification Using Local Features of Model Views and Sparse Representation of Shape Descriptors", JIPS(Journal of Information Processing Systems), 16(2), pp.343~359 (2020), 한국정보처리학회[DOI]
  8. Min Li, "Ensemble of Classifiers Constructed on Class-Oriented Attribute Reduction", JIPS(Journal of Information Processing Systems), 16(2), pp.360~376 (2020), 한국정보처리학회[DOI]
  9. Suganya Selvaraj, "Offline-to-Online Service and Big Data Analysis for End-to-end Freight Management System", JIPS(Journal of Information Processing Systems), 16(2), pp.377~393 (2020), 한국정보처리학회[DOI]
  10. Zidan Sun, "Electromagnetic Environment of Transmission Line Based on Full Parameter Online Estimation", JIPS(Journal of Information Processing Systems), 16(2), pp.394~405 (2020), 한국정보처리학회[DOI]
  11. Liping Zhang, "A Method for k Nearest Neighbor Query of Line Segment in Obstructed Spaces", JIPS(Journal of Information Processing Systems), 16(2), pp.406~420 (2020), 한국정보처리학회[DOI]
  12. 노창현, "A Study on Electronic Voting System Using Private Blockchain", JIPS(Journal of Information Processing Systems), 16(2), pp.421~434 (2020), 한국정보처리학회[DOI]
  13. Xiuguo Zou, "Identification of Tea Diseases Based on Spectral Reflectance and Machine Learning", JIPS(Journal of Information Processing Systems), 16(2), pp.435~446 (2020), 한국정보처리학회[DOI]
  14. 이상곤, "Conceptual Extraction of Compound Korean Keywords", JIPS(Journal of Information Processing Systems), 16(2), pp.447~459 (2020), 한국정보처리학회[DOI]
  15. Xiao Ma, "Energy-Aware Virtual Da ta Center Embedding", JIPS(Journal of Information Processing Systems), 16(2), pp.460~477 (2020), 한국정보처리학회[DOI]
  16. Yongli Liu, "PSA: A Photon Search Algorithm", JIPS(Journal of Information Processing Systems), 16(2), pp.478~493 (2020), 한국정보처리학회[DOI]
  17. Phonexay Vilakone, "Movie Recommendation System Based on Users’ Personal Information and Movies Rated Using the Method of k-Clique and Normalized Discounted Cumulative Gain", JIPS(Journal of Information Processing Systems), 16(2), pp.494~507 (2020), 한국정보처리학회[DOI]
  18. Yatao Zhang, "Nonlinear Quality Indices Based on a Novel Lempel-Ziv Complexity for Assessing Quality of Multi-Lead ECGs Collected in Real Time", JIPS(Journal of Information Processing Systems), 16(2), pp.508~521 (2020), 한국정보처리학회[DOI]

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