Навчально-методичні матеріали (КСУ)

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https://eir.nuos.edu.ua/handle/123456789/631

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Перегляд Навчально-методичні матеріали (КСУ) за Автор "Gerasin, O. S."

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  • Ескіз
    Документ
    General approach to structures and models building of IoT-based industrial systems
    (2019) Kondratenko, Yu. P.; Kozlov, O. V.; Korobko, O. V.; Gerasin, O. S.; Topalov, A. M.
    Three-volume book contains theoretical materials for lectures and training modules developed in frameworks of project “Internet of Things: Emerging Curriculum for Industry and Human Applications /ALIOT” (Project Number: 573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP, 2016-2019) funded by EU Program ERASMUS+. Volume 3 describes techniques and tools for creation, assessment and implementation of Internet of Things (IoT) in different industry and human domains. The book consists of 6 parts for corresponding training courses: IoT for smart energy grid(sections 32-35), IoT for smart buildings and cities (sections 36-39), IoT for intelligent transportation systems (sections 40-43), IoT for healthcare systems (sections 44-47), IoT for ecology, safety and security monitoring systems (sections 48-51), IoT for industrial systems (sections 52-56). The book prepared by Ukrainian university teams with support of EU academic colleagues of the ALIOT consortium. The book is intended for MSc and PhD students studying IoT technologies, software and computer engineering and science, cyber security. It could be useful for lecturers of universities and training centers, researchers and developers of IoT systems.
  • Ескіз
    Документ
    Training 1 Main stages of industrial iot-based system development
    (2019) Kondratenko, Yu. P.; Kondratenko, G. V.; Kozlov, O. V.; Topalov, A. M.; Gerasin, O. S.
    The materials of the training part of the study course ITM6 “IoT for industrial systems”, developed in the framework of the ERASMUS+ ALIOT project “Internet of Things: Emerging Curriculum for Industry and Human Applications” (573818-EPP-12016-1-UK-EPPKA2-CBHE-JP). The structure of work on verification of residual knowledge in the discipline, the corresponding training material, examples of tasks and criteria of evaluation are given. In the learning process, the theoretical aspects of IoT for industrial systems are presented. The structures, models and technologies for development of industrial IoT-based systems, advanced techniques and means for design, modernization and implementation of industrial IoT-based systems, application of IoT technologies in engineering, and development and hardware optimization of control units for IoT devices in industry systems are examined. It is intended for engineers, developers and scientists engaged in the IoT for industrial systems, for postgraduate students of universities studying in area of IoT-based systems, as well as for lecturers of relevant courses. Ref. – 117 items, figures – 106, tables – 7.