Autor: Kim, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Development of Ship Watch Keeping Supporting Aids
Autorzy:: Im, N.
Kim, E. K.
Han, S. H.
Jeong, J. S.
Lee, S. M.
Powiązania:: https://bibliotekanauki.pl/articles/117602.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: Ship Watchkeeping
Deck Officers
Navigation Visual Supporting System
Intelligent Technology
Dangerous Floating Objects
Binocular Telescope
laser distance measuring unit
Sea Trial Test
Opis:: This study deals with the development of ship watch keeping supporting aids that will be useful for ship deck officers in recognizing navigational harmful obstacles such as sea marks and small floating objects on the sea. The developed watch keeping supporting aids is made up of four components; a composite video sensor to produce video signal, a laser distance measuring part, a Pan/Tilt part and a central control part. The system was installed in a ship in order to verify its performance of the recognition ability on the sea. The comparison was made between the recognition ability of the system and that of watch keeping deck officers’. The image from the watch keeping supporting system was found to be more recognizable than that of a binocular telescope within a 5 km distance. The newly suggested system is expected to be used to recognize small dangerous floating objects more easily when navigation deck officers have a duty of watch keeping for navigation especially near harbor area.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 4; 501-506
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Ship Collision Avoidance by Distributed Tabu Search
Autorzy:: Kim, D.
Hirayama, K.
Okimoto, M.
Powiązania:: https://bibliotekanauki.pl/articles/116919.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: Safety of Navigation
Collision Avoidance
Distributed Tabu Search Algorithm (DTSA)
Distributed Local Search Algorithm (DLSA)
Quasi-Local Minimum (QLM)
Tabu Search Algorithm
Local Search Algorithm
Distributed Tabu Search
Opis:: More than 90% of world trade is transported by sea. The size and speed of ships is rapidly increasing in order to boost economic efficiency. If ships collide, the damage and cost can be astronomical. It is very difficult for officers to ascertain routes that will avoid collisions, especially when multiple ships travel the same waters. There are several ways to prevent ship collisions, such as lookouts, radar, and VHF radio. More advanced methodologies, such as ship domain, fuzzy theory, and genetic algorithm, have been proposed. These methods work well in one-on-one situations, but are more difficult to apply in multiple-ship situations. Therefore, we proposed the Distributed Local Search Algorithm (DLSA) to avoid ship collisions as a precedent study. DLSA is a distributed algorithm in which multiple ships communicate with each other within a certain area. DLSA computes collision risk based on the information received from neighboring ships. However, DLSA suffers from Quasi-Local Minimum (QLM), which prevents a ship from changing course even when a collision risk arises. In our study, we developed the Distributed Tabu Search Algorithm (DTSA). DTSA uses a tabu list to escape from QLM that also exploits a modified cost function and enlarged domain of next-intended courses to increase its efficiency. We conducted experiments to compare the performance of DLSA and DTSA. The results showed that DTSA outperformed DLSA.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 23-29
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Building of CBR’s DB Using Ontology for a Collision Avoidance System
Autorzy:: Park, G. K.
Kim, W. G.
Benedictos, J.
Powiązania:: https://bibliotekanauki.pl/articles/117348.pdf
Data publikacji:: 2008
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: anticollision
ontology
Collision Avoidance System
Case Based Reasoning (CBR)
Fuzzy CBR Technique
CBR Data Base
Manoeuvring Situations
Risk of Collision
Opis:: We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to the new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new case, used as inputs, for ship collision avoidance support system and in solving for similarity through document articulation and abstraction levels. These ontologies will be used to build a conceptual model of a manoeuvring situation.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2008, 2, 4; 369-374
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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