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Wyszukujesz frazę "artificial intelligence system" wg kryterium: Temat


Wyświetlanie 1-3 z 3
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:
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:
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
    Wyświetlanie 1-3 z 3

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