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    Wyświetlanie 1-13 z 13
    Tytuł:
    Indirect encoding in neuroevolutionary ship handling
    Autorzy:
    Łącki, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/117302.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    ship handling
    neuroevolutionary ship handling
    artificial intelligence
    artificial intelligence method
    ship manoeuvering
    Neuroevolution
    evolutionary algorithms
    direct encoding method
    Opis:
    In this paper the author compares the efficiency of two encoding schemes for artificial intelligence methods used in the neuroevolutionary ship maneuvering system. This may be also be seen as the ship handling system that simulates a learning process of a group of artificial helmsmen - autonomous control units, created with an artificial neural network. The helmsman observes input signals derived form an enfironment and calculates the values of required parameters of the vessel maneuvering in confined waters. In neuroevolution such units are treated as individuals in population of artificial neural networks, which through environmental sensing and evolutionary algorithms learn to perform given task efficiently. The main task of this project is to evolve a population of helmsmen with indirect encoding and compare results of simulation with direct encoding method.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 1; 71-76
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modern method based on artificial intelligence for safe control in the marine environment
    Autorzy:
    Mohamed-Seghir, Gdynia Maritime University, Gdynia, Poland
    Powiązania:
    https://bibliotekanauki.pl/articles/24201419.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    safe ship's trajectory
    collision avoidance
    artificial intelligence
    artificial neural network
    fuzzy logic
    evolutionary algorithms
    dynamic programming
    Opis:
    The article presents an approach to formulating a ship control process model in order to solve the problem of determining a safe ship trajectory in collision situations. Fuzzy process properties are included in the model to bring it closer to reality, as in many situations the navigator makes a subjective decision. A special neural network was used to solve the presented problem. This artificial neural network is characterized by minimum and maximum operations when set. In order to confirm the correctness of the operation of the proposed algorithm, the results of the simulations obtained were presented and an discussion was conducted.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 283--288
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Towards Safe Navigation by Formalizing Navigation Rules
    Autorzy:
    Kreutzmann, A.
    Wolter, D.
    Dylla, F.
    Lee, J. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/117627.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    safety of navigation
    Navigation Rules
    artificial intelligence
    Spatio-temporal Logics
    Opis:
    One crucial aspect of safe navigation is to obey all navigation regulations applicable, in particular the collision regulations issued by the International Maritime Organization (IMO Colregs). Therefore, decision support systems for navigation need to respect Colregs and this feature should be verifiably correct. We tackle compliancy of navigation regulations from a perspective of software verification. One common approach is to use formal logic, but it requires to bridge a wide gap between navigation concepts and simple logic. We introduce a novel domain specification language based on a spatio‐temporal logic that allows us to overcome this gap. We are able to capture complex navigation concepts in an easily comprehensible representation that can directly be utilized by various bridge systems and that allows for software verification.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 2; 161-168
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Human-automation interaction for autonomous ships: decision support for remote operators
    Autorzy:
    Porathe, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/2063968.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    autonomous ship
    remote operation
    human-automation interaction
    decision support
    artificial intelligence
    unmanned ship
    autonomous shipping
    Opis:
    At NTNU in Norway an 8-year research project has been established to (among other things) research the interaction between humans and unmanned, autonomous ships. The human will become even more important when ship operator will be located remotely in shore control centers ashore. This concept paper will take a closer look on remote decision-making by operators monitoring several ships. How can interface design help them to get quickly into-the-loop when something unexpected suddenly happens? I will in this paper suggest keeping a copy of the AI expert-system controlling the ship, updated and running in parallel in the control center to keep the operator’s situation awareness during short communication glitches. Also, to design a “quickly-getting-into-the-loop-display” which automatically will appear in an alarm situation, allowing the operator just-in-time and simple-to-understand information. I will also stress the important of the concept automation transparency.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 511--515
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Learning Search Algorithms: An Educational View
    Autorzy:
    Janota, M.
    Šimák, V.
    Hrbček, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/116502.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Search Algorithm
    Learning Search Algorithms
    educational view
    Artificial Intelligence Method
    Search Method
    Labyrinth
    Dijkstra algorithm
    Opis:
    Artificial intelligence methods find their practical usage in many applications including maritime industry. The paper concentrates on the methods of uninformed and informed search, potentially usable in solving of complex problems based on the state space representation. The problem of introducing the search algorithms to newcomers has its technical and psychological dimensions. The authors show how it is possible to cope with both of them through design and use of specialized authoring systems. A typical example of searching a path through the maze is used to demonstrate how to test, observe and compare properties of various search strategies. Performance of search methods is evaluated based on the common criteria.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8 no. 4; 565-570
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classification of parametric rolling for seagoing ships and percentage distribution for multiple sea state parameters
    Autorzy:
    Chhoeung, S.
    Hahn, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201396.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    seagoing ship
    rolling
    sea state
    sea state parameters
    multiple sea state parameters
    MARIN
    parametric rolling
    Artificial Intelligence
    Opis:
    In this paper, parametric rolling is divided into 5 heavy grades, establishing a classification for parametric rolling. This is achieved by a multi-parameter application in the simulations. For this purpose, parametric rolling, established criteria and the state of the art are considered and the results are summarized. Based on this, parametric rolling is successfully simulated using discrete simulation in MARIN [1]. Five heavy grades are introduced so different classes of parametric rolling can be distinguished. Furthermore, dependencies and probabilities for the occurrence of parametric roles in relation to the see are determined numerically. This will later be used in an assistance system on board ships to compute the prediction of parametric roll using an AI.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 4; 769--777
    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 System for Supporting the Design and Selection of Mechanical Equipment for Recreational Crafts
    Autorzy:
    Gonciarz, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/116387.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Naval Architecture
    Ship Construction and Design
    Expert System
    Mechanical Equipment
    Recreational Craft, Yachting
    Computer Program
    artificial intelligence
    Opis:
    Expert Systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Expert Systems have experienced tremendous growth and popularity since their commercial introduction in the early 1970’s. Today, Expert Systems are used in business, science, engineering, manufacturing and other engineering applications such as planning, scheduling, diagnosing equipment failures and are used in almost every stage of the manufacturing process and also in medicine and many other fields. Expert Systems belong to the field of artificial intelligence. An intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for the solution. The purpose of this paper is to present an Expert System which assists with the design of yachts and supports the selection of mechanical equipment for yachts and includes knowledge in the field of yachting engineering. Using the presented Expert System reduces the time during the design and production preparation process.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 2; 275-280
    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 main challenges and barriers to the successful “smart shipping”
    Autorzy:
    Alop, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/116779.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    smart shipping
    maritime affairs
    intelligent ship
    no records
    autonomous ship
    cyber security
    artificial intelligence (AI)
    SWOT analyze
    Opis:
    As with the powerful digitalization of the world in the 21st century, maritime affairs, like all other areas, are facing not only new opportunities, but also new big challenges and problems. From the point of view of the development of new technologies, it seems that everything is possible, for example the bringing of so-called "intelligent ships" and “smart ports” into one global system on base of internet of things and big data applications. However, if to look at the matter further, a number of factors and obstacles may appear which could be major threats to the normal functioning of such a system. While it is clear that systems with such high degree of complexity are even technically vulnerable, it seems to the author of this paper that questions that are no less difficult are in the field of human relations. For example, when ships and ports are becoming more and more "smarter" and need less and less people to intervene in their interactions, who at the end will be responsible for everything that can and definitely will happened at sea or in the port? What about liability of cargo carrier if “carrier” is an autonomous ship without any person on-board during the entire journey? How to ensure cyber security? How to be secured against the risks of so-called artificial intelligence systemic errors? It is possible that only new non-trivial approaches can lead to acceptable results in this area, but what they may be and whether these approaches are possible at all - these questions are still waiting for answers.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 521-528
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of daily operations in the marine industry using ant colony optimization (ACO)-An artificial intelligence (AI) approach
    Autorzy:
    Sardar, A.
    Anantharaman, M.
    Garaniya, V.
    Khan, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201433.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    ant colony optimization
    artificial intelligence
    maritime transport
    International Maritime Organization
    international safety management
    formal safety assessment
    algorithms
    Opis:
    The maritime industry plays a crucial role in the global economy, with roughly 90% of world trade being conducted through the use of merchant ships and more than a million seafarers. Despite recent efforts to improve reliability and ship structure, the heavy dependence on human performance has led to a high number of casualties in the industry. Decision errors are the primary cause of maritime accidents, with factors such as lack of situational awareness and attention deficit contributing to these errors. To address this issue, the study proposes an Ant Colony Optimization (ACO) based algorithm to design and validate a verified set of instructions for performing each daily operational task in a standardised manner. This AI-based approach can optimise the path for complex tasks, provide clear and sequential instructions, improve efficiency, and reduce the likelihood of human error by minimising personal preference and false assumptions. The proposed solution can be transformed into a globally accessible, standardised instructions manual, which can significantly contribute to minimising human error during daily operational tasks on ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 290--295
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Box Selectivity in Different Container Cargo-handling Systems
    Autorzy:
    Kuznetsov, A. L.
    Kirichenko, A. L.
    Semenov, A. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/116336.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    cargo handling
    box selectivity
    cargo handling system
    container
    container cargo-handling system
    simulation model
    theoretical selectivity
    artificial intelligence
    Opis:
    The box selectivity in operational stack of container terminal is a quite common and long studied question. The pure random choice is governed by the theory of probability offering some combinatorial estimations. The introduction of operational rules like import/export separation, storage by shipping lines, sorting by rail or truck transportation etc., as well as the most notorious ‘sinking’ effect, i.e. covering of boxes arrived earlier by next cargo parties – all these blur the clear algebraiс picture and lead to appearance of many heuristic outlooks of the problem. A new impetus to this problem in last decades was given by the rapid development of IT, AI and simulation techniques. There are quite many examples of the models described in the scientific publication reflecting many real and arbitrary terminals, which embed very advanced and complicated mechanisms reflecting selected features and strategies. Unfortunately, these models usually are created ad hoc, with some pragmatic objectives and under the demand of closest possible proximity to the simulating objects. There are much less models designated to pure scientific study of the deep inner mechanisms responsible for the primal behavior of the operating container stack, enabling to introduce step by step new rules and restrictions, providing regular proving of every next stage’s adequacy and easy to use. This paper describes one attempt of this kind to create a new theoretical tool to put into the regular toolkit of the container terminal designer. The study starts with mathematical (combinatorial) considerations, proceeds with some restrictions caused by physical and technological characteristics, and ends up with the simulation model, which adequacy is confirmed by practical results.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 797-801
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Port tugboat formation multi-agent control system
    Autorzy:
    Koznowski, W.
    Łebkowski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2063990.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    tug operations
    Maritime Safety Committee
    International Maritime Organization
    Multi-Agent System
    Multi-Agent Conbtrol System
    Autonomous Vessels
    e-Navigation
    Artificial Intelligence
    Opis:
    The publication presents the structure of the agent system, tasked with control of the formation of unmanned port tugboats capable of performing pilot and towing services. The use of autonomous tugboats with installed software was presented with respect to the existing regulations related to Resolution MSC.467 developed by the Maritime Safety Committee (MSC) belonging to the International Maritime Organization (IMO), which creates guidelines for the definition and harmonization of the structure and format of maritime services in the context of e-navigation. The use of a multi-agent system structure enables synergistic cooperation of tugboats carrying out joint port operations, such as: assistance in maneuvers of ships, precision movement of ships and other objects in port areas, monitoring and patrolling of port areas, carrying out ice operations, carrying out inspections of quays, the possibility of assistance in liquidation of petroleum and similar pollutant spills. The paper presents the structure of the agent system and the description of possible scenarios of port operations. The control algorithms and the applied methods of artificial intelligence, such as evolutionary algorithms with elements of fuzzy logic, were discussed. The recorded traffic parameters from the actions carried out in the simulator of the marine navigation environment were presented.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 807--814
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of problems related to the carriage of goods by sea between traditional and autonomous vessels
    Autorzy:
    Pijacar, M.
    Bulum, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841557.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    autonomous vessels
    Carriage of Goods
    artificial intelligence
    International Maritime Organization
    maritime autonomous surface ships
    safe port warranty
    sea transportation
    carriage of goods by sea
    Opis:
    When performing the carriage of goods by sea, each contracting party, shipowner and charterer, has a number of rights and obligations. In legal sources which regulate carriage of goods by sea, in particular contracts concluded between parties, international conventions and national laws, standard clause is shipowner's obligation to provide a seaworthy vessel. Such obligation implies that the vessel must be able to carry and keep the contracted cargo in good condition and also have required number of qualified crew. On the other side, charterer's obligation is to order the vessel to sail to ports/berths which are considered safe (safe port warranty). Also, legal sources of carriage of goods by sea regulate liability issues for loading and discharging operations, the limitation of the shipowner’s liability and application of provisions related to exclusion of liability. All of the above represent important rights and obligations of the regulation of the carriage of goods by sea, and so regulated thus far have been common in the carriage of goods by sea by traditional vessels. However, the question that arises is how the problems related to the carriage of goods by sea will be regulated when such carriage is performed by autonomous vessels. In other words, there is a question about interpretation of the provisions of seaworthiness, safe port warranty, liability and the limitation of the shipowner’s liability and exclusion of liability in the carriage of goods by sea by autonomous ships. The purpose of this paper is comparison of problems related to the carriage of goods by sea between the traditional and autonomous vessels, and regarding the regulation of seaworthiness, safe port warranty, liability, the limitation of the shipowner’s liability and exclusion of liability. The results of this comparison lead to the conclusion that reconsideration of the content of the listed terms is needed when we are talking about carriage of goods by sea by autonomous vessels.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 1; 125-131
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Intelligent autonomous ship navigation using multi-sensor modalities
    Autorzy:
    Wright, R.G.
    Powiązania:
    https://bibliotekanauki.pl/articles/117337.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    maritime autonomous surface ships (MASS)
    artificial intelligence (AI)
    intelligent autonomous ship navigation
    autonomous ship
    autonomous ships navigation
    multiSensor modalities
    unmanned ship
    maritime domain awareness (MDA)
    Opis:
    This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 503-510
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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