• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.7
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• pp.851-857
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• 2019

This study is about ship horsepower prediction of machine learning method using the big data of ship. Currently, new ships use the ISO15016 method to predict external environmental resistance through mathematical equations but due to complicated equations and requires many input variables so it is less applicable to be used in ship. In this recent research, we propose a model capable of predicting ship performance with high performance using SVM (Support Vector Machine) algorithm which shows excellent performance in recent prediction and recognition. The proposed predictive model has the advantage of being able to predict better performance than ISO15016 only if secured big data is used. In this study, we compared the ISO15016 technique and the SVM algorithm-based horsepower analysis method using the 178K bulk carrier's voyage data to reduce ship model data preparation, which is a disadvantage of ISO15016, and improve inaccurate horsepower prediction performance.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.2
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• pp.159-164
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• 2016

It is one of the important processes to predict the resistance of the towed ship when towing a disabled ship on the sea. Besides the basic resistance of hull itself, there are various added resistance, especially the added resistance due to waves can be considered one of the biggest component. In this paper, the algorithm which predict the added resistance due to waves of a disabled ship by theoretical analysis method of ISO 15016 standard was established, and realized as a computer program. The calculated result for an example ship was compared with existing standard one, and it is considered that this algorithm and computer program are appropriate to use for predicting the resistance and towing force of the disabled ship actually.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.3
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• pp.269-276
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• 2020

Sea trial tests are necessary to verify speed-power performance, and are an import contract between ship owners and shipyards. The International Organization for Standardization (ISO) published ISO 15016:2015, which specifies the correlation method between model and full-scale ships. The results of sea trials have been questioned because of the uncertainty of speed and power measurements, especially when sea conditions differ from ideal calm water conditions. In this paper, such uncertainties were investigated by utilizing the standard speed-power trial analysis procedure defined in ISO 15016:2015 through Monte Carlo simulations. It was found that the expanded uncertainty of the delivered power (P_Did) at 95 % confidence interval (k = 2) was ±1.5 % under 75 % MCR conditions.

• Bulletin of the Society of Naval Architects of Korea
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• v.43 no.2 s.148
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• pp.69-79
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• 2006

• Bulletin of the Society of Naval Architects of Korea
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• v.53 no.1
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• pp.17-21
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• 2016

• Bulletin of the Society of Naval Architects of Korea
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• v.53 no.1
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• pp.22-27
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• 2016

• Bulletin of the Society of Naval Architects of Korea
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• v.53 no.1
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• pp.28-34
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• 2016

• Bulletin of the Society of Naval Architects of Korea
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• v.53 no.1
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• pp.35-38
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• 2016

• Journal of Navigation and Port Research
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• v.40 no.3
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• pp.97-103
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• 2016

The precise prediction of ships propulsion performance is very important to find out the ships optimum route. This paper describes the development of computer program to generate the database of propulsion performance for the ships optimum routing system. The propulsion performance of ship in the sea is caused by not only ships conditions such as drift and hull roughness, but also various sea conditions such as wave and wind. These prediction methods of added resistance are based on the ships speed trial analysis methods of the ISO 15016:2002 standard, and a few prediction methods of the wind and hull roughness are supplemented. These prediction methods have been applied to the comprehensive computer program. And the database calculation for the research ice breaker the Araon has been carried out, which shall be used for the calculation of optimum route. Furthermore, this program shall be used for the route optimization in global shipping routes.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.1
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• pp.15-21
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• 2020

This study analyzes the results of applying the ISO19030 (hull and propeller performance monitoring method) standard to an actual 178 k bulk vessel. Recently, there have been many attempts to apply various energy reduction solutions to vessels to continuously strengthen GHG reduction regulations and secure maritime competitiveness. However, it is not easy to quantitatively analyze the performance of a ship. To resolve these problems, shipping companies, marine paint companies, ship owners, and transportation associations have appointed specialists and standardized the ISO19030 (standard of hull and propeller performance monitoring method) guidelines in 2016 after three years of continuous review. The ISO19030 standard provides methods to monitor hull and propeller performance quantitatively through standardized procedures, thus allowing ship managers to arrive at informed decisions for hull and propeller maintenance, and to evaluate energy-saving solutions and ship-maintenance efficiency. The ISO19030 standard provides a method of analyzing the ship's own performance by collecting the ship's operation and agency data and correcting its environmental and operating factors. In this paper, we apply the ISO19030 standard to three actual ships and propose the ISO19030 application result and the improvement point of the current ISO19030 standard.