• Journal of Ocean Engineering and Technology
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• v.29 no.2
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• pp.111-119
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• 2015

In the initial ship design stage, performance predictions are generally carried out before and after the hull form design. The former is based on the main dimensions and power information, and the latter is based on the geometry of the hull form and propeller. This paper deals with the practical application of neural networks for the prediction of a ship's performance factors before and after the hull form design. For this, the hull form parameters that affect the performance are studied, and an optimal neural network structure based on the SSMB database is constructed. By comparing the results predicted by neural networks and the model test results, we confirmed that neural networks can be applied to practically evaluate the performance in the initial ship design stage.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.3
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• pp.231-238
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• 2014

In this study, the self-propulsion tests are performed in INHA towing tank. And the effective wake characteristics of the KVLCC2 and the KCS models are compared by the experimental results. The form factor is independent of Reynolds number. To estimate the hydrodynamic performance of a full scale ship, the form factor is determined to consider attendant on Reynolds number. In this research, the power predictions are carried out considering the form factor difference of model and full scale ship. The results of this research could be used as one of the fundamental data to the powering performance prediction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1051-1058
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• 2021

Barges that are towed by tugs do not have navigation capabilities and are usually connected to tugs. These kinds of combined navigation schemes have generated almost ten percent of all maritime accidents in the last five years. The study aims to reduce maritime accidents with barges towed by tugs by analyzing navigation characteristics and the current status of such combined navigation schemes. The analysis consists of the lesson learned from each verdict. The result of the study emphasizes that human factors continue to be the primary cause of maritime accidents with barges and tugs. Additionally, the research proposes that effective advertising for improving maritime safety by reducing towing barge maritime accidents should be created through associations of tugs and barges. Furthermore, relevant re-training must be conducted by maritime training institutions. The results of the study are expected to apply to the improvement of maritime safety through the advertisements to seafarers.