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    Wyświetlanie 1-7 z 7
    Tytuł:
    Effect of ship neural domain shape on safe and optimal trajectory
    Autorzy:
    Lisowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201475.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    artificial neural network model
    method for optimization
    dynamic programming method
    ship safety domain
    safe ship control
    path planning
    multi-object decision model
    computer simulation
    Opis:
    This article presents the task of safely guiding a ship, taking into account the movement of many other marine units. An optimally neural modified algorithm for determining a safe trajectory is presented. The possible shapes of the domains assigned to other ships as traffic restrictions for the particular ship were subjected to a detailed analysis. The codes for the computer program Neuro-Constraints for generating these domains are presented. The results of the simulation tests of the algorithm for a navigational situation are presented. The safe trajectories of the ship were compared at different distances, changing the sailing conditions and ship sizes.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 1; 185--191
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Small Wind Turbine Output Model for Spatially Constrained Remote Island Micro-Grids
    Autorzy:
    Žigman, D.
    Meštrović, K.
    Tomiša, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/2172468.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    wind turbine
    small wind turbine
    decision tree model
    artificial neural network model
    random forest model
    micro-grids
    spatially constrained remote Island micro-grids
    remote Island micro-grid
    Opis:
    Modelling operation of the power supply system for remote island communities is essential for its operation, as well as a survival of a modern society settled in challenging conditions. Micro-grid emerges as a proper solution for a sustainable development of a spatially constrained remote island community, while at the same time reflecting the power requirements of similar maritime subjects, such as large vessels and fleets. Here we present research results in predictive modelling the output of a small wind turbine, as a component of a remote island micro-grid. Based on a month-long experimental data and the machine learning-based predictive model development approach, three candidate models of a small wind turbine output were developed, and assessed on their performance based on an independent set of experimental data. The Random Forest Model out performed competitors (Decision Tree Model and Artificial Neural Network Model), emerging as a candidate methodology for the all-year predictive model development, as a later component of the over-all remote island micro-grid model.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 1; 143--146
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of fuzzy fault tree analysis and noisy-OR gate bayesian network for navigational risk assessment in Qingzhou Port
    Autorzy:
    Zhao, C.
    Wu, B.
    Yip, T. L.
    Lv, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2063967.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    risk assessment
    Bayesian Network Model
    navigational risk
    navigational risk assessment
    Port of Qingzhou
    fuzzy fault tree
    noisy-OR gate
    navigational accidents
    Opis:
    Collisions and groundings account for more than 80% among all types of maritime accidents, and risk assessment is an essential step in the formal safety assessment. This paper proposes a method based on fuzzy fault tree analysis and Noisy-OR gate Bayesian network for navigational risk assessment. First, a fault tree model was established with historical data, and the probability of basic events is calculated using fuzzy sets. Then, the Noisy-OR gate is utilized to determine the conditional probability of related nodes and obtain the probability distribution of the consequences in the Bayesian network. Finally, this proposed method is applied to Qinzhou Port. From sensitivity analysis, several predominant influencing factors are identified, including navigational area, ship type and time of the day. The results indicate that the consequence is sensitive to the position where the accidents occurred. Consequently, this paper provides a practical and reasonable method for risk assessment for navigational accidents.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 765--771
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network
    Autorzy:
    Yu, Q.
    Liu, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/117215.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    offshore wind farms
    expert elicitation analysis
    Bayesian network model
    fuzzy rule-based bayesian network
    Failure Modes and Effects Analyses (FMEA)
    Bayesian Networks
    vessel allision risk
    risk analysis
    Opis:
    This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 831-837
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application perspective of digitalneural networks in the context of marine technologies
    Autorzy:
    Konon, V.
    Konon, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201415.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    marine technology
    multi-layer perceptron
    neural networks
    digital neural networks
    maritime industry
    MLP algorithm
    3D model
    Artificial Neural Network
    Opis:
    This study is focused on the issue of digital neural networks’ implementation in the context of maritime industry. Various algorithms of such networks in the terms of the marine technologies have been reviewed in the current study in order to evaluate the effectiveness of the methodology and to propose a new concept of an artificial neural network’s application in this way. Fire-detection system simulation based on the thermal imagers’ data input had been developed to assess the efficiency of the concept suggested with a multi-layer perceptron (MLP) algorithm integrated into the designed 3d-model.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 4; 743--747
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Research of Northern Labyrinths as Navigation Network Elements
    Autorzy:
    Paranina, A.N.
    Paranin, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/117170.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Northern Labyrinths
    megalithic sites
    gnomon
    navigational instruments
    information model of the world (IMW)
    navigation network
    arctic circle
    history of navigation
    Opis:
    The authors of the article consider the stone labyrinths as solar calendars. In the center of these structures there are usually already installed gnomons – vertical objects that give shade. Midday shadow points to north, and the change of its length during a year is correlated with the diameter of the arcs of the labyrinth. Points of sunrise / sunset at the equinoxes and solstices are very often fixed in the pattern of the labyrinth, as well as the beginning of the annual cycle. In general, patterns of labyrinths are of the same type, the differences reflect the regional characteristics of illumination, the differences in latitude and topography (shape of the horizon). The uniformity of the technology and the location on the waterways give an opportunity to consider stone labyrinths as ancient elements of local and regional navigation networks.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 3; 451-456
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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
      Wyświetlanie 1-7 z 7

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