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Wyszukujesz frazę "IoT Internet of Things" wg kryterium: Temat


Wyświetlanie 1-5 z 5
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:
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:
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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