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Wyświetlanie 1-15 z 27
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:
Application of Artificial Neural Network into the Water Level Modeling and Forecast
Autorzy:
Sztobryn, M.
Powiązania:
https://bibliotekanauki.pl/articles/116204.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
artificial neural network (ANN)
hydrography
coastal area
Opis:
The dangerous sea and river water level increase does not only destroy the human lives, but also generate the severe flooding in coastal areas. The rapidly changes in the direction and velocity of wind and associated with them sea level changes could be the severe threat for navigation, especially on the fairways of small fishery harbors located in the river mouth. There is the area of activity of two external forcing: storm surges and flood wave. The aim of the work was the description of an application of Artificial Neural Network (ANN) methodology into the water level forecast in the case study field in Swibno harbor located is located at 938.7 km of the Wisla River and at a distance of about 3 km up the mouth (Gulf of Gdansk ‐ Baltic Sea).
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 2; 219-223
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gap Filling of Daily Sea Levels by Artificial Neural Networks
Autorzy:
Pashova, L.
Koprinkova-Hristova, P. D.
Popova, S.
Powiązania:
https://bibliotekanauki.pl/articles/116147.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
artificial neural network (ANN)
hydrography
Black Sea
Opis:
In the recent years, intelligent methods as artificial neural networks are successfully applied for data analysis from different fields of the geosciences. One of the encountered practical problems is the availability of gaps in the time series that prevent their comprehensive usage for the scientific and practical purposes. The article briefly describes two types of the artificial neural network (ANN) architectures ‐ Feed‐ Forward Backpropagation (FFBP) and recurrent Echo state network (ESN). In some cases, the ANN can be used as an alternative on the traditional methods, to fill in missing values in the time series. We have been conducted several experiments to fill the missing values of daily sea levels spanning a 5‐years period using both ANN architectures. A multiple linear regression for the same purpose has been also applied. The sea level data are derived from the records of the tide gauge Burgas, which is located on the western Black Sea coast. The achieved results have shown that the performance of ANN models is better than that of the classical one and they are very promising for the real‐time interpolation of missing data in the time series.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 2; 225-232
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
Neuroevolutionary approach to COLREGs ship maneuvers
Autorzy:
Łącki, M.
Powiązania:
https://bibliotekanauki.pl/articles/116206.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
collision avoidance
colregs
neuroevolutionary approach to colregs
ship handling system
artificial helmsman
Artificial Neural Network (ANN)
evolutionary algorithms
ship manoeuvering
Opis:
The paper describes the usage of neuroevolutionary method in collision avoidance of two power-driven vessels approaching each other regarding COLREGs rules. 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 artificial neural networks. The helmsman observes an environment by its input signals and according to assigned CORLEGs rule, he calculates the values of required parameters of maneuvers (propellers rpm and rudder deflection) in a collision avoidance situation. 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 safely and efficiently. The main task of this project is to evolve a population of helmsmen which is able to effectively implement chosen rule: crossing or overtaking.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 745-750
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:
Towards use of dijkstra algorithm for optimal navigation of an unmanned surface vehicle in a real-time marine environment with results from artificial potential field
Autorzy:
Singh, Y.
Sharma, S.
Sutton, R.
Hatton, D.
Powiązania:
https://bibliotekanauki.pl/articles/116058.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
autonomous vehicles
dijkstra’s algorithm
Unmanned Surface Vehicle (USV)
port of portsmouth
Artificial Path Planning (APF)
Artificial Potential Field
real-time marine environment
optimal navigation
Opis:
The growing need of ocean surveying and exploration for scientific and industrial application has led to the requirement of routing strategies for ocean vehicles which are optimal in nature. Most of the op-timal path planning for marine vehicles had been conducted offline in a self-made environment. This paper takes into account a practical marine environment, i.e. Portsmouth Harbour, for finding an optimal path in terms of computational time between source and end points on a real time map for an USV. The current study makes use of a grid map generated from original and uses a Dijkstra algorithm to find the shortest path for a single USV. In order to benchmark the study, a path planning study using a well-known local path planning method artificial path planning (APF) has been conducted in a real time marine environment and effectiveness is measured in terms of path length and computational time.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 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:
The Development of a combined method to quicklyassess ship speed and fuel consumption at different powertrain load and sea conditions
Autorzy:
Krata, P.
Kniat, A.
Guedes Soares, C.
Krata, H.
Powiązania:
https://bibliotekanauki.pl/articles/1841479.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
combined method
sea conditions
ship speed
fuel consumption
powertrain load
Artificial Neural Network
Opis:
Decision support systems (DSS) recently have been increasingly in use during ships operation. They require realistic input data regarding different aspects of navigation. To address the optimal weather routing of a ship, which is one of the most promising field of DSS application, it is necessary to accurately predict an actually attainable speed of a ship and corresponding fuel consumption at given loading conditions and predicted weather conditions. In this paper, authors present a combined calculation method to predict those values. First, a deterministic modeling is applied and then an artificial neural network (ANN) is structured and trained to quickly mimic the calculations. The sensitivity of the ANN to adopted settings is analyzed as well. The research results confirm a more than satisfactory quality of reproduction of speed and fuel consumption data as the ANN response meet the calculation results with high accuracy. The ANN-based approach, however, requires a significantly shorter time of execution. The directions of future research are outlined.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 2; 437-445
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
Wyświetlanie 1-15 z 27

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