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    Wyświetlanie 1-4 z 4
    Tytuł:
    Risk Assessment for an Unmanned Merchant Ship
    Autorzy:
    Rødseth, Ø.J.
    Burmeister, H.-C.
    Powiązania:
    https://bibliotekanauki.pl/articles/117079.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    risk assessment
    Unmanned Merchant Ship
    Formal Safety Analysis
    Formal Safety Assessment (FSA)
    Autonomous Underwater Vehicle (AUV)
    Autonomous Ship Controller (ASC)
    Risk Control
    Unified Modelling Language (UML)
    Opis:
    The MUNIN project is doing a feasibility study on an unmanned bulk carrier on an intercontinental voyage. To develop the technical and operational concepts, MUNIN has used a risk-based design method, based on the Formal Safety Analysis method which is also recommended by the International Mari-time Organization. Scenario analysis has been used to identify risks and to simplify operational scope. Systematic hazard identification has been used to find critical safety and security risks and how to address these. Technology and operational concept testing is using a hypothesis-based test method, where the hypotheses have been created as a result of the risk assessment. Finally, the cost-benefit assessment will also use results from the risk assessment. This paper describes the risk assessment method, some of the most important results and also describes how the results have been or will be used in the different parts of the project.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 3; 357-364
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Addressing theaccidental risks of maritime transportation: could autonomous shipping technology improve the statistics?
    Autorzy:
    Hoem, Å.S.
    Fjørtoft, K.
    Rødseth, Ø.J.
    Powiązania:
    https://bibliotekanauki.pl/articles/116850.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Maritime Autonomous Surface Ships (MASS)
    autonomous ship
    autonomous shipping technology
    maritime transportation
    maritime accidents
    human error
    maritime risk
    accident statistics
    Opis:
    A paradigm shift is presently underway in the shipping industry promising safer, greener and more efficient ship traffic. In this article, we will look at some of the accidents from conventional shipping and see if they could have been avoided with autonomous ship technology. A hypothesis of increased safety is often brought forward, and we know from various studies that the number of maritime accidents that involves what is called “human error” ranges from some 60‐90 percent. If we replace the human with automation, can we then reduce the number of accidents? On the other hand, is there a possibility for new types of accidents to appear? What about the accidents that are today averted by the crew? This paper will present a method to assess these different aspects of the risk scenarios in light of the specific capabilities and constraints of autonomous ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 487-494
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Expanding the possibilities of AIS data with heuristics
    Autorzy:
    Smestad, B.B.
    Rødseth, Ø.J.
    Asbjjørnslett, B.E.
    Powiązania:
    https://bibliotekanauki.pl/articles/116611.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Automatic Identification System (AIS)
    AIS Data
    heuristics
    commercial ship data registers
    heuristic training
    heuristic testing
    satellite AIS Data
    commercial vessel database
    Opis:
    Automatic Identification System (AIS) is primarily used as a tracking system for ships, but with the launch of satellites to collect these data, new and previously untested possibilities are emerging. This paper presents the development of heuristics for establishing the specific ship type using information retrieved from AIS data alone. These heuristics expand the possibilities of AIS data, as the specific ship type is vital for several transportation research cases, such as emission analyses of ship traffic and studies on slow steaming. The presented method for developing heuristics can be used for a wider range of vessels. These heuristics may form the basis of large-scale studies on ship traffic using AIS data when it is not feasible or desirable to use commercial ship data registers.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 2; 279-286
    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 retrospective analysis of maritime cyber security incidents
    Autorzy:
    Meland, P. H.
    Bernsmed, K.
    Wille, E.
    Rødseth, Ø. J.
    Nesheim, D. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2063970.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    cyber security
    retrospective analysis
    digital attack
    cyber security incidents
    maritime cyber threats
    maritime incidents
    Opis:
    The maritime industry is undergoing a rapid evolution through the introduction of new technology and the digitization of existing services. At the same time, the digital attack surface is increasing, and incidents can lead to severe consequences. This study analyses and gives an overview of 46 maritime cyber security incidents from the last decade (2010-2020). We have collected information from open publications and reports, as well as anonymized data from insurance claims. Each incident is linked to a taxonomy of attack points related to onboard or off-ship systems, and the characteristics have been used to create a Top-10 list of maritime cyber threats. The results show that the maritime sector typically has incidents with low frequency and high impact, which makes them hard to predict and prepare for. We also infer that different types of attackers use a variety of attack points and techniques, hence there is no single solution to this problem.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 519--530
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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