A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data
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 requirement...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/10/9/1245 |
| _version_ | 1797486342140067840 |
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| author | Jongseo Park Minjoo Choi |
| author_facet | Jongseo Park Minjoo Choi |
| author_sort | Jongseo Park |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:31:50Z |
| format | Article |
| id | doaj.art-148111ba38804baf9da86b8f92437566 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T23:31:50Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-148111ba38804baf9da86b8f924375662023-11-23T17:07:07ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-09-01109124510.3390/jmse10091245A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS DataJongseo Park0Minjoo Choi1Department of Naval Architecture and Ocean Systems Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaDepartment of Naval Architecture and Ocean Systems Engineering, Korea Maritime and Ocean University, Busan 49112, KoreaDefining 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.https://www.mdpi.com/2077-1312/10/9/1245K-means clustering algorithmautomatic identification system (AIS)ship designoperational profile |
| spellingShingle | Jongseo Park Minjoo Choi A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data Journal of Marine Science and Engineering K-means clustering algorithm automatic identification system (AIS) ship design operational profile |
| title | A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data |
| title_full | A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data |
| title_fullStr | A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data |
| title_full_unstemmed | A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data |
| title_short | A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data |
| title_sort | k means clustering algorithm to determine representative operational profiles of a ship using ais data |
| topic | K-means clustering algorithm automatic identification system (AIS) ship design operational profile |
| url | https://www.mdpi.com/2077-1312/10/9/1245 |
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