Pub Date : 2023-11-06DOI: 10.1007/s00773-023-00968-z
R. Okuda, H. Yasukawa, N. Hirata, A. Matsuda
{"title":"A study on berthing and unberthing of a single-shaft ship with a bow thruster","authors":"R. Okuda, H. Yasukawa, N. Hirata, A. Matsuda","doi":"10.1007/s00773-023-00968-z","DOIUrl":"https://doi.org/10.1007/s00773-023-00968-z","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135634818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-04DOI: 10.1007/s00773-023-00969-y
Jin Pan, Wen Zhe Zhang, Zhi Mian Sun, Xue Qu, Ming Cai Xu
{"title":"Experimental study on the dynamical response of elastic trimaran model under slamming load","authors":"Jin Pan, Wen Zhe Zhang, Zhi Mian Sun, Xue Qu, Ming Cai Xu","doi":"10.1007/s00773-023-00969-y","DOIUrl":"https://doi.org/10.1007/s00773-023-00969-y","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"34 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135775620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine","authors":"Yuanyuan Tang, Yu Xia, Jundong Zhang, Baozhu Jia, Ruizheng Jiang","doi":"10.1007/s00773-023-00971-4","DOIUrl":"https://doi.org/10.1007/s00773-023-00971-4","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"37 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135820044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-28DOI: 10.1007/s00773-023-00953-6
Hiroaki Koike, Leo Dostal, Ryohei Sawada, Yoshiki Miyauchi, Atsuo Maki
Abstract Many technologies need to be established to realize autonomous ships. In particular, accurate state estimation in real time is one of the most important technologies. In the ship and ocean engineering fields, there have been many studies on state estimation using nonlinear Kalman filters. Several methods have been proposed for nonlinear Kalman filters. However, there is insufficient verification on the selection of which filter should be applied among them. Therefore, this study aims to validate the filter selection to provide a guideline for filter selection. The effects of modeling error, observation noise, and type of maneuvers on the estimation accuracy of the unscented Kalman filter () and ensemble Kalman filter () used in this study were investigated. In addition, it was verified whether filtering could be performed in real time. The results show that modeling error significantly impacts the estimation accuracy of the and . However, the observation noise and types of maneuvers did not have an impact like the modeling error. Thus, we obtained the guideline that and should be used differently depending on the required computation time. We also obtained that keeping the modeling error sufficiently small is essential to improving the estimation accuracy.
{"title":"A study on the implementation of nonlinear Kalman filter applying MMG model","authors":"Hiroaki Koike, Leo Dostal, Ryohei Sawada, Yoshiki Miyauchi, Atsuo Maki","doi":"10.1007/s00773-023-00953-6","DOIUrl":"https://doi.org/10.1007/s00773-023-00953-6","url":null,"abstract":"Abstract Many technologies need to be established to realize autonomous ships. In particular, accurate state estimation in real time is one of the most important technologies. In the ship and ocean engineering fields, there have been many studies on state estimation using nonlinear Kalman filters. Several methods have been proposed for nonlinear Kalman filters. However, there is insufficient verification on the selection of which filter should be applied among them. Therefore, this study aims to validate the filter selection to provide a guideline for filter selection. The effects of modeling error, observation noise, and type of maneuvers on the estimation accuracy of the unscented Kalman filter () and ensemble Kalman filter () used in this study were investigated. In addition, it was verified whether filtering could be performed in real time. The results show that modeling error significantly impacts the estimation accuracy of the and . However, the observation noise and types of maneuvers did not have an impact like the modeling error. Thus, we obtained the guideline that and should be used differently depending on the required computation time. We also obtained that keeping the modeling error sufficiently small is essential to improving the estimation accuracy.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"5 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136161047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-28DOI: 10.1007/s00773-023-00964-3
Hiroaki Torii, Hiroyasu Kifune
{"title":"Influence of propeller fouling on propulsion performance of an actual ship: a long-term analysis focusing on the power for keeping propeller’s rotation of a controllable pitch propeller","authors":"Hiroaki Torii, Hiroyasu Kifune","doi":"10.1007/s00773-023-00964-3","DOIUrl":"https://doi.org/10.1007/s00773-023-00964-3","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"277 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1007/s00773-023-00963-4
Kennedy L. S. Neves, Raul Dotta, Edgard B. Malta, Alfredo Gay Neto, Guilherme R. Franzini, Luís A. G. Bitencourt
{"title":"A digital twin to predict failure probability of an FPSO hull based on corrosion models","authors":"Kennedy L. S. Neves, Raul Dotta, Edgard B. Malta, Alfredo Gay Neto, Guilherme R. Franzini, Luís A. G. Bitencourt","doi":"10.1007/s00773-023-00963-4","DOIUrl":"https://doi.org/10.1007/s00773-023-00963-4","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Automation of berthing maneuvers in shipping is a pressing issue as the berthing maneuver is one of the most stressful tasks seafarers undertake. Berthing control problems are often tackled by tracking a predefined trajectory or path. Maintaining a tracking error of zero under an uncertain environment is impossible; the tracking controller is nonetheless required to bring vessels close to desired berths. The tracking controller must prioritize the avoidance of tracking errors that may cause collisions with obstacles. This paper proposes a training method based on reinforcement learning for a trajectory tracking controller that reduces the probability of collisions with static obstacles. Via numerical simulations, we show that the proposed method reduces the probability of collisions during berthing maneuvers. Furthermore, this paper shows the tracking performance in a model experiment.
{"title":"Collision probability reduction method for tracking control in automatic docking/berthing using reinforcement learning","authors":"Kouki Wakita, Youhei Akimoto, Dimas M. Rachman, Yoshiki Miyauchi, Atsuo Maki","doi":"10.1007/s00773-023-00962-5","DOIUrl":"https://doi.org/10.1007/s00773-023-00962-5","url":null,"abstract":"Abstract Automation of berthing maneuvers in shipping is a pressing issue as the berthing maneuver is one of the most stressful tasks seafarers undertake. Berthing control problems are often tackled by tracking a predefined trajectory or path. Maintaining a tracking error of zero under an uncertain environment is impossible; the tracking controller is nonetheless required to bring vessels close to desired berths. The tracking controller must prioritize the avoidance of tracking errors that may cause collisions with obstacles. This paper proposes a training method based on reinforcement learning for a trajectory tracking controller that reduces the probability of collisions with static obstacles. Via numerical simulations, we show that the proposed method reduces the probability of collisions during berthing maneuvers. Furthermore, this paper shows the tracking performance in a model experiment.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1007/s00773-023-00965-2
S. Vaishnavi, V. Prabhakar
{"title":"A new approach to study the nonlinear energy transfer rate for an observed wave spectrum using splines","authors":"S. Vaishnavi, V. Prabhakar","doi":"10.1007/s00773-023-00965-2","DOIUrl":"https://doi.org/10.1007/s00773-023-00965-2","url":null,"abstract":"","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Walkability assessments are becoming more popular, as walking offers numerous health, environmental, and economic benefits to communities. However, previous studies on ferry terminal walkability assessment have been inadequate. This study aimed to develop a wearable sensor system to automatically assess walkability at ferry terminals without conducting surveys. We applied seven machine learning (ML) classifiers to detect different walking environments, including flat ground (FG), downhill slope (DS), uphill slope (US), and uneven surface (UE). The ML models were evaluated across different combinations of classes: 2-class (FG vs. UE), 3-class (U) (FG vs. US vs. UE), 3-class (D) (FG vs. DS vs. UE), and 4-class (FG vs. DS vs. US vs. UE). Among these, support vector machine (SVM) classifiers had the best area under the receiver operating characteristic curves (AUCs) for the 2-class, 3-class (U), and 4-class datasets with 0.970, 0.920, and 0.922, respectively. AdaBoost (AB) performed the best in 3-class (D) with an AUC of 0.953. The least absolute shrinkage and selection operator exhibited better performance in classifying walking environments than maximum relevance and minimum redundancy. This study assessed passenger walkability and improved the built environments at ferry terminals by identifying uncomfortable walking conditions. Furthermore, the results contribute to the development of a passenger walkability evaluation system utilizing intelligent sensors and to the economic revitalization of communities near ferry terminals.
步行评估正变得越来越受欢迎，因为步行为社区提供了许多健康、环境和经济效益。然而，以往对轮渡码头步行性评价的研究并不充分。该研究旨在开发一种可穿戴传感器系统，在不进行调查的情况下自动评估渡轮码头的步行性。我们应用了7种机器学习(ML)分类器来检测不同的步行环境，包括平地(FG)、下坡(DS)、上坡(US)和不平整的表面(UE)。ML模型通过不同的分类组合进行评估:2级(FG vs UE)， 3级(U) (FG vs US vs UE)， 3级(D) (FG vs DS vs UE)和4级(FG vs DS vs US vs UE)。其中，支持向量机(SVM)分类器在2类、3类和4类数据集的受试者工作特征曲线(auc)下面积最佳，分别为0.970、0.920和0.922。AdaBoost (AB)在3类(D)中表现最佳，AUC为0.953。最小绝对收缩算子和选择算子对步行环境的分类效果优于最大关联算子和最小冗余算子。本研究评估乘客的步行能力，并透过辨识不舒适的步行环境，改善渡轮码头的建筑环境。此外，研究结果有助于开发利用智能传感器的乘客步行性评估系统，并有助于渡轮码头附近社区的经济振兴。
{"title":"Wearable Sensor-Based Walkability Assessment at Ferry Terminal using Machine Learning: A Case Study of Mokpo, Korea","authors":"Jungyeon Choi, Hwayoung Kim","doi":"10.51400/2709-6998.2700","DOIUrl":"https://doi.org/10.51400/2709-6998.2700","url":null,"abstract":"Walkability assessments are becoming more popular, as walking offers numerous health, environmental, and economic benefits to communities. However, previous studies on ferry terminal walkability assessment have been inadequate. This study aimed to develop a wearable sensor system to automatically assess walkability at ferry terminals without conducting surveys. We applied seven machine learning (ML) classifiers to detect different walking environments, including flat ground (FG), downhill slope (DS), uphill slope (US), and uneven surface (UE). The ML models were evaluated across different combinations of classes: 2-class (FG vs. UE), 3-class (U) (FG vs. US vs. UE), 3-class (D) (FG vs. DS vs. UE), and 4-class (FG vs. DS vs. US vs. UE). Among these, support vector machine (SVM) classifiers had the best area under the receiver operating characteristic curves (AUCs) for the 2-class, 3-class (U), and 4-class datasets with 0.970, 0.920, and 0.922, respectively. AdaBoost (AB) performed the best in 3-class (D) with an AUC of 0.953. The least absolute shrinkage and selection operator exhibited better performance in classifying walking environments than maximum relevance and minimum redundancy. This study assessed passenger walkability and improved the built environments at ferry terminals by identifying uncomfortable walking conditions. Furthermore, the results contribute to the development of a passenger walkability evaluation system utilizing intelligent sensors and to the economic revitalization of communities near ferry terminals.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135740100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, food safety has become a growing concern in Taiwanese society. To ensure efficient management of the supply chain within the L Aquatic Products company, it is imperative to employ reliable technical support in establishing an effective traceability management system. The traceability of products can provide managers with valuable insight into the intricacies of the supply chain. By establishing a dependable food traceability system, brand trust can be strengthened, and consumers can inquire about the movement of aquatic products within the supply chain. Blockchain technology offers features such as traceability, accountability, transparency, reliability, trust, privacy, and security, making it a viable solution for the aquatic industry. Although some researchers propose comprehensive solutions for application in aquatic companies, it is important to note that many aquatic firms are traditional companies with unique supply chain requirements. A one-size-fits-all solution may not be suitable and could lead to increased operational costs. In this research, we begin by conducting interviews with the company to gain insight into their actual production processes. Based on these findings, we design and implement a blockchain traceability process tailored specifically to the aquatic firm's supply chain. Additionally, we survey the opinions of the company's staff to ensure that the system aligns with their needs. The results indicate that the blockchain traceability system benefits the company's development.
{"title":"APPLICATION OF BLOCKCHAIN TECHNOLOGY IN AQUACULTURE MANAGEMENT","authors":"Yu-Jen Pan, Hsin-Pei Shieh","doi":"10.51400/2709-6998.2701","DOIUrl":"https://doi.org/10.51400/2709-6998.2701","url":null,"abstract":"In recent years, food safety has become a growing concern in Taiwanese society. To ensure efficient management of the supply chain within the L Aquatic Products company, it is imperative to employ reliable technical support in establishing an effective traceability management system. The traceability of products can provide managers with valuable insight into the intricacies of the supply chain. By establishing a dependable food traceability system, brand trust can be strengthened, and consumers can inquire about the movement of aquatic products within the supply chain. Blockchain technology offers features such as traceability, accountability, transparency, reliability, trust, privacy, and security, making it a viable solution for the aquatic industry. Although some researchers propose comprehensive solutions for application in aquatic companies, it is important to note that many aquatic firms are traditional companies with unique supply chain requirements. A one-size-fits-all solution may not be suitable and could lead to increased operational costs. In this research, we begin by conducting interviews with the company to gain insight into their actual production processes. Based on these findings, we design and implement a blockchain traceability process tailored specifically to the aquatic firm's supply chain. Additionally, we survey the opinions of the company's staff to ensure that the system aligns with their needs. The results indicate that the blockchain traceability system benefits the company's development.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135740101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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