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    Wyświetlanie 1-3 z 3
    Tytuł:
    Consideration of a general model of stochastic service curve for communication networks
    Autorzy:
    Wasielewska, K.
    Borys, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/117055.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    communication networks
    stochastic service
    communication system
    maritime telecommunications area
    Quality of Service (QoS)
    stochastic network calculus
    modelling of model of stochastic service curve
    stochastic service curve
    Opis:
    In this paper, a general framework for modelling stochastic service curves for communication networks is presented. It connects with each other two approaches to the traffic analysis and performance evaluation of communication systems, namely, the one which is called a deterministic network calculus with its stochastic counterpart. Thereby, it enables to treat any communication traffic in a consistent way. Further, as we show here, it enables also achieving new results. Derivation of the above model is presented in details in this paper. Finally, some hints are given how the method presented in this article could be applied in maritime telecommunications area.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 1; 159-164
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Time server based on NMEA and SNTP Protocols
    Autorzy:
    Łukasik, Z.
    Nowakowski, W.
    Ciszewski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/116756.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    time service
    NMEA Protocol
    SNTP Protocol
    time server
    time synchronization
    Computer Network
    GPS receiver
    Universal Time Coordinated (UTC)
    Opis:
    Modern technical ship systems very often use information and communication technologies. One of the basic requirements of these systems is ensuring time synchronization that aim is to coordinate clocks of all devices working in a computer network. This requirement results from, among others, the necessity to log events with a unified timestamp. To achieve this goal, most frequently expensive time servers are used. This article presents an easy method of time synchronization, which can serve as a reserve or alternative solution to the methods currently used. That is why a proprietary software has been developed, allowing to expand the functionality of a PC so that it can operate as a time server. A time reference in proposed solution would be provided by a GPS receiver. The developed application allows, with the use of the NMEA protocol, to synchronize the current time with the GPS receiver and then, with the help of the SNTP protocol, to distribute it to all network devices operating on the ship.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 453-458
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of Shipment Size in Seaborne Iron Ore Trade
    Autorzy:
    Zhou, X.
    Hu, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/117393.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    cargo handling
    shipment size
    estimation of shipment size
    seaborne iron ore trade
    AIS Data
    Maritime Mobile Service Identify (MMSI)
    BP Neural Network
    iron ore
    Opis:
    Shipment size is unavailable and important in AIS-based trade volume estimates. A method of shipment size estimates based on AIS (Automatic Identification System) data and BP neural network is proposed. The ship's length, width, designed draught, current draught and deadweight ton are input parameters, the actual shipment size of the ship is output value, and the BP neural network is trained to estimate the actual shipment size of the iron ore carriers. Then, the AIS data is used to calculate the iron ore trade volume in 2018. Compared with customs data, the annual error of import volume of China is less than 0.5%. The result shows that the proposed method is accurate and practical.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 791-796
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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