Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jun Kayano"'
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7521 (2023)
This study constructs a support vector machine model based on supervised learning to model the results of situation awareness for ship collision avoidance. To explain the model, collision risk situations were defined, and human situation recognition
Externí odkaz:
https://doaj.org/article/8116f4faf6984c02b3bfbcd54c008973
Publikováno v:
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 7, Iss 4, Pp 521-526 (2013)
The IMO has adopted Energy Efficiency Design Index (EEDI), Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Operational Indicator (EEOI) in order to reduce GHG emissions from international shipping. And, the shipping industry is r
Externí odkaz:
https://doaj.org/article/02c43fdaed954d2cbf358c22b9862403
Publikováno v:
Ocean Engineering. 271:113738
Autor:
Tadatsugi Okazaki, Jun Kayano
Publikováno v:
SMC
The berthing maneuver requires high maneuvering techniques because the navigators have to stop the ship at a specified point with decreased maneuverability in restricted water area. Therefore, the automation of berthing maneuver has been gaining incr
Publikováno v:
The Journal of Japan Institute of Navigation. 139:1-9
Publikováno v:
The Journal of Japan Institute of Navigation. 139:48-54
Autor:
Kei Kumagai, Jun Kayano
Publikováno v:
IFSA-SCIS
Obstacle Zone by Target (OZT) is a method to support ship's navigator of making decision that visually expresses areas in which there are high possibilities of colliding with other ships. Previous studies have shown that OZT is effective to avoid col
Publikováno v:
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 7, Iss 4, Pp 521-526 (2013)
The International Maritime Organization (IMO) has adopted Energy Efficiency Design Index (EEDI), Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Operational Indicator (EEOI) in order to reduce greenhouse gas (GHG) emissions from
Publikováno v:
The Journal of Japan Institute of Navigation. 127:141-148
Publikováno v:
The Journal of Japan Institute of Navigation. 124:281-287