• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

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Search: "[ keyword: 분산 ]" (28)
  1. 1. Control-Path Driven Process-Group Discovery Framework and its Experimental Validation for Process Mining and Reengineering
  2. 2. Advances and Issues in Federated Learning Open Platforms: A Systematic Comparison and Analysis
    JinSoo Kim, SeMo Yang, KangYoon Lee, KwangKee Lee, Vol. 24, No. 4, pp. 1-13, Aug. 2023
    10.7472/jksii.2023.24.4.1
    Keywords: Federated learning, Distributed Learning, FL Framework, Open Source
  3. 3. Random Balance between Monte Carlo and Temporal Difference in off-policy Reinforcement Learning for Less Sample-Complexity
    Chayoung Kim, Seohee Park, Woosik Lee, Vol. 21, No. 5, pp. 1-7, Oct. 2020
    10.7472/jksii.2020.21.5.1
    Keywords: Deep Q-Network, Temporal Difference, Monte Carlo, Reinforcement Learning, Variation and Bias Balance
  4. 4. Design of Blockchain Application based on Fingerprint Recognition Module for FIDO User Authentification in Shoppingmall
    Min-goo Kang, Vol. 21, No. 2, pp. 65-72, Apr. 2020
    10.7472/jksii.2020.21.2.65
    Keywords: Blockchain, biometric distributed ID(DID), fingerprint recognition FIDO2.0, S10 Key-store, crypto-currency transaction
  5. 5. A Longitudinal Study on Customers’ Usable Features and Needs of Activity Trackers as IoT based Devices
  6. 6. Real Time Distributed Parallel Processing to Visualize Noise Map with Big Sensor Data and GIS Data for Smart Cities
  7. 7. Research for Efficient Massive File I/O on Parallel Programs
    Gyuhyeon Hwang, Youngtae Kim, Vol. 18, No. 2, pp. 53-60, Apr. 2017
    10.7472/jksii.2017.18.2.53
    Keywords: Parallel I/O, Collective I/O, Distributed memory computer, MPI-IO, NFS
  8. 8. Outlier Detection Based on MapReduce for Analyzing Big Data
    Yejin Hong, Eunhee Na, Yonghwan Jung, Yangwoo Kim, Vol. 18, No. 1, pp. 27-36, Feb. 2017
    10.7472/jksii.2017.18.1.27
    Keywords: Big data, Outlier, MapReduce, Distributed Processing, Spark
  9. 9. Clustering Algorithm using the DFP-Tree based on the MapReduce
  10. 10. An Explorative Study on the Features of Activity Trackers as IoT based Wearable Devices
    Suk-Ki Hong, Vol. 16, No. 5, pp. 93-98, Oct. 2015
    10.7472/jksii.2015.16.5.93
    Keywords: Internet of Things (IoT), Activity Trackers, Customer Needs, Wearable Devices, Variance of Analysis