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    Tytuł:
    Fuzzy logic in decision support system as a simple Human/Internet of Things interface for shunt active power filter
    Autorzy:
    Jasiński, M.
    Majtczak, P.
    Malinowski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/201645.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy logic
    decision support system
    shunt active power filter
    power quality
    smart grids
    smart industry
    harmonics compensation
    internet of things (IoT)
    internet of everything
    logika rozmyta
    system wspomagania decyzji
    filtr aktywny
    jakość energii
    inteligentne sieci
    smart przemysł
    kompensacja harmonicznych
    Internet Przedmiotów
    Internet Wszystkiego
    Opis:
    This paper introduces a fuzzy logic (FL) based decision support system (DSS) for a three-phase bidirectional AC-DC grid converter, working in a modern grid-like smart grid or smart industry. It is assumed that the appliances connected to that grid interact as in the Internet of Things (IoT) or like in the Internet of Everything (IoE) i.e. with a human being located in the chain of data flow. A power electronics AC-DC converter, operating as a shunt active power filter (SAPF) is selected for the case study. A harmonics reduction algorithm is presented as an implementation sample of the DSS. The operation of the SAPF is described and analysed. Experimental results showing the tuning process and operation of the laboratory model are also presented and discussed. Finally, it is shown that the DSS is an elegant and intuitive interface, which can simplify a human’s or machine’s decision-making process. Thanks to the DSS, the meaning of transferred data is translated into linguistic variables that can be understood by non-experts. Hence, it is expected that the amount of transferred data in the smart grid and in the IoE would be reduced. But in the same time, the high quality of the controlled process is retained, as shown by the example of a conventional SAPF.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 4; 877-886
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mode selection, caching and physical layer security for fog networks
    Autorzy:
    Basir, Rabeea
    Chughtai, Naveed Ahmad
    Ali, Mudassar
    Qaisar, Saad
    Hashmi, Anas
    Powiązania:
    https://bibliotekanauki.pl/articles/2173711.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    IoT
    Internet of Things
    fog network
    secrecy
    optimization
    Internet Rzeczy
    mgła obliczeniowa
    tajność
    optymalizacja
    Opis:
    Fog networks facilitate ultra-low latency through the use of data availability near the network edge in fog servers. Existing work in fog networks considers the objective of energy efficiency and low latency for internet-of-things (IoT) for resource allocation. These works provide solutions to energy efficiency and low latency resource allocation problem without consideration of secure communication. This article investigates the benefits of fog architecture from the perspective of three promising technologies namely device-to-device (D2D) communication, caching, and physical layer security. We propose security provisioning followed by mode selection for D2D-assisted fog networks. The secrecy rate maximization problem is formulated first, which belongs to mixed-integer nonlinear programming (MINLP) problem. It is NP-hard, that is why an exhaustive search for finding the solution is complex. Keeping in view the complexity, a nonlinear technique namely outer approximation algorithm (OAA) is applied. OAA is a traditional algorithm, whose results are compared with the proposed heuristic algorithm, namely the security heuristic algorithm (SHA). Performance of the network is observed for the different numbers of eavesdroppers, IoT nodes, and fog nodes.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 5; art. no. e142652
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modern methods in the field of machine modelling and simulation as a research and practical issue related to Industry 4.0
    Autorzy:
    Rojek, Izabela
    Macko, Marek
    Mikołajewski, Dariusz
    Sága, Milan
    Burczyński, Tadeusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2086825.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Industry 4.0
    Internet of Things
    artificial intelligence
    models
    AI
    simulation
    IoT
    Przemysł 4.0
    internet rzeczy
    internet przedmiotów
    sztuczna inteligencja
    modele
    symulacja
    Opis:
    Artificial intelligence (AI) is changing many areas of technology in the public and private spheres, including the economy. This report reviews issues related to machine modelling and simulations concerning further development of mechanical devices and their control systems as part of novel projects under the Industry 4.0 paradigm. The challenges faced by the industry have generated novel technologies used in the construction of dynamic, intelligent, flexible and open applications, capable of working in real time environments. Thus, in an Industry 4.0 environment, the data generated by sensor networks requires AI/CI to apply close-to-real-time data analysis techniques. In this way industry can face both fresh opportunities and challenges, including predictive analysis using computer tools capable of detecting patterns in the data based on the same rules that can be used to formulate the prediction.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; e136717, 1--12
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modern methods in the field of machine modelling and simulation as a research and practical issue related to Industry 4.0
    Autorzy:
    Rojek, Izabela
    Macko, Marek
    Mikołajewski, Dariusz
    Sága, Milan
    Burczyński, Tadeusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2090720.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Industry 4.0
    Internet of Things
    artificial intelligence
    models
    AI
    simulation
    IoT
    Przemysł 4.0
    czwarta rewolucja przemysłowa
    internet rzeczy
    internet przedmiotów
    sztuczna inteligencja
    modele
    symulacja
    Opis:
    Artificial intelligence (AI) is changing many areas of technology in the public and private spheres, including the economy. This report reviews issues related to machine modelling and simulations concerning further development of mechanical devices and their control systems as part of novel projects under the Industry 4.0 paradigm. The challenges faced by the industry have generated novel technologies used in the construction of dynamic, intelligent, flexible and open applications, capable of working in real time environments. Thus, in an Industry 4.0 environment, the data generated by sensor networks requires AI/CI to apply close-to-real-time data analysis techniques. In this way industry can face both fresh opportunities and challenges, including predictive analysis using computer tools capable of detecting patterns in the data based on the same rules that can be used to formulate the prediction.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; e136717, 1--12
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modern approach to sustainable production in the context of Industry 4.0
    Autorzy:
    Rojek, Izabela
    Dostatni, Ewa
    Mikołajewski, Dariusz
    Pawłowski, Lucjan
    Węgrzyn-Wolska, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/2173714.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Industry 4.0
    industrial development
    sustainable development
    production
    supply chain
    digital transformation
    automation
    Internet of Things
    IoT
    Przemysł 4.0
    rozwój przemysłowy
    zrównoważony rozwój
    produkcja
    łańcuch dostaw
    transformacja cyfrowa
    automatyzacja
    Internet Rzeczy
    Opis:
    Reviewing the current state of knowledge on sustainable production, this paper opens the Special Section entitled “Sustainability in production in the context of Industry 4.0”. The fourth industrial revolution (Industry 4.0), which embodies a vision for the future system of manufacturing (production), focuses on how to use contemporary methods (i.e. computerization, robotization, automation, new business models, etc.) to integrate all manufacturing industry systems to achieve sustainability. The idea was introduced in 2011 by the German government to promote automation in manufacturing. This paper shows the state of the art in the application of modern methods in sustainable manufacturing in the context of Industry 4.0. The authors review the past and current state of knowledge in this regard and describe the known limitations, directions for further research, and industrial applications of the most promising ideas and technologies.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143828
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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