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Neuroevolutionary Ship Handling System in a Windy Environment

Łącki M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2012

Vol. 6, no. 4

453--458

This paper presents the advanced intelligent ship handling system able to simulate and demonstrate learning behavior of artificial helmsman which controls model of ship in a windy environment of restricted water area. Simulated helmsmen are treated as individuals in population, which through environmental sensing and evolutionary algorithms learns to perform given task efficiently. The task is: safe navigation through heavy wind channels. Neuroevolutionary algorithms, which develop artificial neural networks through evolutionary operations, have been applied in this system.

Evaluation of Educational Software for Marine Training with the Aid of Neuroscience Methods and Tools

Papachristos D., Nikitakos N.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2011

Vol. 5, no. 4

541--545

The evaluation with the use of neuroscience methods and tools of a student’s satisfaction – happiness from using the e-learning system (e-learning platforms, e-games, simulators) poses an important re-search subject matter. In the present project it is presented a research on course conducted in the Faculty of Merchants Officers, Marine Academy of Aspropyrgos. In particular, this research with the use of a neurosci-ence tool-gaze trucker, investigates the amount of satisfaction of the students using a simulator by monitoring the users’ eye movement in combination with the use of qualitative and quantitative methods.