Now showing items 1-4 of 4

    • Field trial and performance evaluation of IoT smart aquaculture monitoring system for brackish water shrimp farm 

      M., Abdullah; S., M., Idrus; K., M., Yusof; A., I., Azmi; W., Ismail; K., H., Kamaludin; N., Ali; A., Rani; F., Yusof (Universiti Malaysia Perlis (UniMAP), 2021-12)
      In present time, it is common for any monitoring system to incorporate Internet of Things (IoT) to provide online real-time data. In this project, smart aquaculture monitoring system was developed by combining Wireless ...
    • Machine learning-based queueing time analysis in XGPON 

      N. A., Ismail; S. M., Idrus; F., Iqbal; A.M., Zin; F., Atan; N., Ali (Universiti Malaysia Perlis (UniMAP), 2021-12)
      Machine learning has been a popular approach in predicting future demand. In optical access network, machine learning can best predict bandwidth demand so as to reduce delays. This paper presented a machine learning approach ...
    • A Preliminary study on feasibility radar cross-section of foreign object debris for size classification 

      P. N., Ja’afar; S. M., Idrus; S., Ambran; A., Hamzah; N., Zulkifli; N. A., Hamid; A., Kanno; Shibagaki, N.; Kashima, K.; T., Kawanishi (Universiti Malaysia Perlis (UniMAP), 2021-12)
      In this paper, a preliminary evaluation study is conducted, which aiming to investigate the radar cross-section (RCS) value that is capable to be used as an input parameter for Artificial Neural network (ANN) backpropagation ...
    • Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal 

      N., Fadzil; N. H., Abu Bakar; S. M., Idrus; A. I., Azmi; S. H., Mohammad; N., Ali (Universiti Malaysia Perlis (UniMAP), 2021-12)
      Public social distancing has been a great concern for the worldwide community as the World Health Organization (WHO) has declared the COVID-19 pandemic as a Public Health Emergency of International Concern (PHEIC). With ...