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Wyszukujesz frazę "Mou, J." wg kryterium: Autor

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    Wyświetlanie 1-4 z 4
    Tytuł:
    Risk analysis of maritime accidents in an estuary: a case study of Shenzhen Waters
    Autorzy:
    Chen, P.
    Mou, J.
    Li, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/135412.pdf
    Data publikacji:
    2015
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    maritime accident
    risk analysis
    Bayesian network
    fault tree analysis (FTA)
    estuarine waters
    maritime safety
    Opis:
    Due to the unique geographic location, complex navigation environment and intense vessel traffic, a considerable number of maritime accidents occurred in estuarine waters during recent years which caused serious loss of life, property and environmental contamination. Based on the historical data of maritime accidents from 2003 to 2012, which is collected from Shenzhen Maritime Safety Administration, this paper conducted a risk analysis of maritime accidents by applying Bayesian network and fault tree analysis. First a Bayesian network model was introduced to describe the consequence of accidents based on the accident investigation report. Then fault tree analysis was applied to estimate the probability on the basis of accident statistics and ship traffic flow. Finally the risk of maritime accidents in Shenzhen Waters was depicted through the consequence multiplied by the probability of an accident.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 42 (114); 54-62
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integration of elliptical ship domains and velocity obstacles for ship collision candidate detection
    Autorzy:
    Chen, P. F.
    Van Gelder, P.
    Mou, J. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/116538.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    collision avoidance
    elliptical ship domain
    ship collision candidate detection
    time-discrete velocity obstacle algorithm (TD-NLVO)
    AIS Data
    ship trajectory
    collision candidate detection
    collision candidate
    Opis:
    The maritime shipping industry has been making significant contributions to the development of the regional and global economy. However, maritime accidents and their severe consequences have been posing an incrementing risk to the individuals and societies. It is therefore important to conduct risk analysis on such accidents to support maritime safety management. In this paper, a modified ship collision candidate detection method is proposed as a tool for collision risk analysis in ports and waterways. Time-Discrete Velocity Obstacle algorithm (TD-NLVO) is utilized to detect collision candidates based on the encounter process extracted from AIS data. Ship domain model was further integrated into the algorithm as the criteria for determination. A case study is conducted to illustrate the efficacy of the improved model, and a comparison between the existing method and actual ship trajectories are also performed. The results indicate that with the integration of ship domain, the new method can effectively detect the encounters with significant collision avoidance behaviours. The choice of criteria can have a significant influence on the results of collision candidate detection.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 751-758
    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 impact of LNG carrier transit on fairway capacity
    Autorzy:
    Li, M.
    Mou, J.
    XinSheng, Z.
    Gong, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/135263.pdf
    Data publikacji:
    2018
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    waterborne transportation
    liquefied natural gas (LNG) ship
    approach channel capacity
    vessel traffic control
    fairway capacity
    LNG Port
    Opis:
    Liquefied natural gas (LNG), as one of the main sources of clean energy, has witnessed great growth in marine transportation in recent years. Due to the potential catastrophic consequences in case of a vessel traffic accident, the guidelines of the design of an LNG Port and the regulation of traffic management require that a mobile safety zone be set up for the transit of an LNG carrier, that is, a moving safety area around the carrier that excludes other ship traffic. To study the impact of a safety zone on channel capacity, this paper has presented a mathematical model to calculate the impact ratio of a large LNG ship on channel capacity considering different speeds and sailing modes. As a case study, an approach channel to a new LNG port that was developed in Yueqing bay, Zhejiang province, East China, has been analyzed during the concept design of the port with the aim of receiving ships with a capacity of 145,000 m3 . Based on the model, the impact ratio on the whole channel and the segmented channel when a carrier arrives at and leaves the berth has been calculated. The methodology can support the job of port design and vessel traffic management to improve the capacity, efficiency and safety of a waterway.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2018, 56 (128); 63-70
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Predict manoeuvring indices using AIS data by ridge regression
    Autorzy:
    Mou, J.
    Tang, G.
    Rong, H.
    Yue, X.
    Powiązania:
    https://bibliotekanauki.pl/articles/359863.pdf
    Data publikacji:
    2013
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    ridge regression
    manoeuvring
    AIS data
    prediction
    collision avoidance
    Opis:
    The ridge regression is presented for identify manoeuvring indices in Nomoto’s model, and the result indicates that the method is robust and does not rely on initial estimation. For selecting appropriate AIS data for manoeuvring indices predicting, a frequency domain identification method is presented.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2013, 36 (108) z. 2; 137-142
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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