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• W4295067556 abstract "Defining the appropriate functional requirements in the early ship design stage is important in order that costs that are caused by the over- or under-specified functional capabilities do not increase. This paper presents a K-means clustering algorithm for the determination of functional requirements. It uses automatic identification system (AIS) data from a reference ship to determine the representative operational profiles, which can support decision-makers in defining the functional requirements of ships that will be performing similar missions as those of the reference ship. In a case study, we used this method as part of a ship design project, in which the functional requirements of a battery-only electric ship are defined using AIS data from a reference ship. Results indicate that the cost can be reduced by determining the functional requirements using the proposed method." @default.
• W4295067556 created "2022-09-10" @default.
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• W4295067556 date "2022-09-04" @default.
• W4295067556 modified "2023-09-25" @default.
• W4295067556 title "A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data" @default.
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• W4295067556 doi "https://doi.org/10.3390/jmse10091245" @default.
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