An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

Disclosed herein is a marine vessel, with a control panel movably mounted to the vessel.

Disclosed herein is a marine vessel, with a control panel movably mounted to the vessel.

A viscous-drag-reducing cladding for a ship's hull whereby the wetted area of the hull is reduced by interspersing air between the hull surface and the water. A substantial portion of the submerged area of the ship's hull comprises densely packed air pockets. The dimension of the air pocket is less than twice the capillary length of water. Each air pocket is supplied with pressurised gas by means of a restrictor. The pressurised air is supplied to each air pocket by means of a network of corrugated channels.

A viscous-drag-reducing cladding for a ship's hull whereby the wetted area of the hull is reduced by interspersing air between the hull surface and the water. A substantial portion of the submerged area of the ship's hull comprises densely packed air pockets. The dimension of the air pocket is less than twice the capillary length of water. Each air pocket is supplied with pressurised gas by means of a restrictor. The pressurised air is supplied to each air pocket by means of a network of corrugated channels.

The present invention relates to a vessel data integration system and a vessel comprising same. Accordingly, the present invention preferably comprises: a first vessel data conversion device for converting first vessel data which have a non-standard format and are received from first equipment into integrated vessel data by using a vessel data model (VDM)-based VDM path; and a second vessel data conversion device for converting second vessel data which have a standard format and are received from second equipment into the integrated vessel data.

The present invention relates to a vessel data integration system and a vessel comprising same. Accordingly, the present invention preferably comprises: a first vessel data conversion device for converting first vessel data which have a non-standard format and are received from first equipment into integrated vessel data by using a vessel data model (VDM)-based VDM path; and a second vessel data conversion device for converting second vessel data which have a standard format and are received from second equipment into the integrated vessel data.

An infrared ray radiated from a region of a surface of an object to which a coating film (20) of a coating material is provided is detected by an infrared sensor (42). The coating film (20) includes a porous ceramic particle (22) and a binder (24), and the ceramic particle (22) includes a compound represented by a compositional formula of any of A.sub.aR.sub.bAl.sub.cO.sub.4, A.sub.aR.sub.bGa.sub.cO.sub.4, R.sub.x, Al.sub.yO.sub.12, and R.sub.xGa.sub.yO.sub.12. Here, A is one or more elements selected from a group consisting of Ca, Sr, and Ba, and R is one or more elements selected from a group consisting of rare earth elements. Also, a is equal to or greater than 0.9 and equal to or less than 1.1, b is equal to or greater than 0.9 and equal to or less than 1.1, c is equal to or greater than 0.9 and equal to or less than 1.1, x is equal to or greater than 2.9 and equal to or less than 3.1, and y is equal to or greater than 4.9 and equal to or less than 5.1. A porosity of the ceramic particle (22) is equal to or greater than 20% and equal to or less than 40%.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.