Browsing by Author "Al Azzawi, Ahmed Khazal"

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    Citation - Scopus: 6
    Design of an FPGA-based intelligent gateway for industrial IoT
    (World Academy of Research in Science and Engineering, 2019) Tuncay Ercan; Ahmed Khazal Younis; Ercan, Tuncay; Al Azzawi, Ahmed Khazal
    The use of information technologies in the implementation of industry 4.0 applications has naturally attracted the attention of many entrepreneurs and the business community. Industry 4.0 applications enabled cost reduction and efficiency in Industrial production systems. However there are difficulties in the process of reliable data collection integration and analysis of production-related data. The authors propose FPGA-based hardware and ANFIS software-driven intelligent algorithms to use temperature and humidity sensor test data for these processes. This approach achieves a significant performance and resource utilization rate in Industrial IoT systems and shows 55% decrease in the amount of HW resources in FPGA. © 2019 Elsevier B.V. All rights reserved.