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

Digital Library


Search: "[ keyword: Time ]" (89)
  1. 41. Modifications of DCF Scheme to Alleviate Jitter Property in WLANs
    Dong-Hun Kang, Seung-Joon Seok, Vol. 9, No. 5, pp. 153-164, Oct. 2008
    Keywords: DCF, IEEE 802.11, MAC, Jitter, Real-time applications
  2. 42. Design and Implementation of Fault-Tolerant IVR for Multi-Channel Service
    Yun-Ki Han, Yong-Wan Koo, Vol. 9, No. 3, pp. 103-118, Jun. 2008
    Keywords: Customer Response service, fault-tolerant, Real-Time, CRM, CTI
  3. 43. Design and Implementation of Real-time monitoring for Distributed Server Management
    Jong-Dae Lee, Yong-Wan Koo, Vol. 9, No. 1, pp. 69-78, Feb. 2008
    Keywords: Real time monitoring system, CRM
  4. 44. Mining the Up-to-Moment Preference Model based on Partitioned Datasets for Real Time Recommendation
  5. 45. P2Prefix : Efficient Broadcasting Streaming Scheme Based on P2P Caching
    Chi-Hun Lee, Young Choi, Hwang-Kyu Choi, Vol. 8, No. 2, pp. 77-88, Apr. 2007
    Keywords: Multimedia streaming, Cache, VOD, Broadcast, Pear to Pear
  6. 46. Peformance Analysis of Scheduler Selection based Real-time Linux Systems
    Min-Goo Kang, Vol. 8, No. 1, pp. 71-78, Feb. 2007
    Keywords: real time LINUX, RMS Scheduler, EDF Scheduler
  7. 47. Analysis of Building Characteristics and Temporal Changes of Fire Alarms
  8. 48. IoT Based Real-Time Indoor Air Quality Monitoring Platform for a Ventilation System
    Sudan Prasad Uprety, Yoosin Kim, Vol. 21, No. 6, pp. 95-104, Dec. 2020
    10.7472/jksii.2020.21.6.95
    Keywords: Fine-Dust, IoT, Indoor Air Quality, Real-time data analysis, Cloud computing
  9. 49. Korean Contextual Information Extraction System using BERT and Knowledge Graph
    SoYeop Yoo, OkRan Jeong, Vol. 21, No. 3, pp. 123-131, Jun. 2020
    10.7472/jksii.2020.21.3.123
    Keywords: contextual information extraction, person extraction, Relation Extraction, sentiment extraction, BERT, Knowledge Graph
  10. 50. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques
    Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
    10.7472/jksii.2020.21.3.83
    Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining