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Keywords: machine learning
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Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-262
... that a single neural network only capture limited features, Hybrid model and multi-scale model were proposed. artificial intelligence flow field high frequency data prediction method prediction low frequency data submarine time step deep learning machine learning prediction result neural...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-266
... by capitalizing on the multi-source data obtained from aids telemetry and remote sensing. neural network machine learning bp neural network ground transportation aids formula artificial intelligence ds evidence theory evidence theory recognition result state recognition sub neural network...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-268
... ABSTRACT Nowadays, the problem of short- and long-term forecasts in the Russian Arctic becomes important for global logistics and engineering. Here, we present our first findings on the application of machine learning (ML) methods to oceanographic data. The Barents Sea is the region of our...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-269
.... This algorithm was developed based on non-holonomic constraints and steady-state component constraints which were integrated with navigation algorithm by indirect Kalman filter based on state error propagation model. robot machine learning upstream oil & gas reservoir characterization artificial...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-270
... ABSTRACT The main objective is to investigate the possibility that machine learning can be used in the real-time simulation of ship motion. A short-term prediction of seakeeping and maneuvering is strongly required for the navigation process. However, accurate and instant prediction remains...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-273
.... Subsequent experiments will use observers of real-time real-world waves as target waves for further learning. machine learning simulation algorithm reinforcement learning observation point target wave artificial intelligence irregular wave openfoam solitary wave superposition wave...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-274
... model of AUV, PD controller and three fuzzy controllers are designed: Mamdani PD controller, T-S PD controller and adaptive fuzzy controller. Based on SIMLINK platform simulation, the heading angle control curve is obtained. fuzzy logic controller vehicle characteristic machine learning...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-276
... artificial intelligence expert system machine learning node algorithm auv underwater high-speed unmanned craft subsystem node function self-propelled model underwater vehicle actual output fault diagnosis emergency system operation mechanism high-speed unmanned vehicle emergency system...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-111
... of the cutter suction dredger, make use of the method of information gain rate to select the control variables, and builds the production prediction model of the excavation system through the machine learning method based on improved KNN. Then the excavation production calculated by the excavation system...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-305
... drift and the object buoyancy properties for the simulation of drift trajectories. wreckage north america government prediction model air transportation artificial intelligence coefficient modeling & simulation trajectory united states government machine learning drift model drift...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-312
... and established a fault tree model for ship collision and grounding accidents. accident scenario information retrieval artificial intelligence information management machine learning marine transportation natural language accident critical rif ship rif literature environmental factor relative...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-316
... experiment platform propeller shuttle tanker diagram shuttle tanker model model experiment dp control system algorithm machine learning simulation environment platform thruster four-corner test Proceedings of the Thirty-second (2022) International Ocean and Polar Engineering Conference...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-321
... the forecasts of SIC with other machine learning and deep learning models. The proposed model outperforms the compared models in terms of different metrics. The proposed VAE based Non-Autoregressive Transformer can be used for long-term SIC forecast and achieve stable and good accuracy predictions...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-338
..., it is of importance to evaluate model uncertainty for the support of model improvement and accurate ship motion prediction. artificial intelligence ship motion prediction wind velocity wind angle machine learning manoeuvre performance evaluation prediction reservoir simulation motion prediction model...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-343
... the optimal layout in different formation shapes in a short of time. marine transportation resistance coefficient ship 1 st2 0 artificial intelligence total resistance coefficient configuration sustainability sustainable development percentage difference st1 0 social responsibility machine...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-204
... prevention and resource utilization of coastal area. neural network groundwater exploitation eastern coast development trend analysis artificial intelligence seawater intrusion groundwater chlorinity groundwater level correlation machine learning laizhou bay groundwater control research...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-218
... underactuated ship matrix north america government machine learning equation neural sliding mode control control strategy derivative control input virtual ship interference input saturation zhang controller virtual control rate Proceedings of the Thirty-second (2022) International Ocean...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-221
..., physical tension sensors are difficult and costly to maintain. In recent years, machine learning and deep learning methods have developed rapidly, and if these more accurate, lower cost, and smarter methods can be applied to the field of marine engineering, they will greatly improve the efficiency...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-231
... a circle of radius 6 [m] by sliding mode control (Fujii et al., 2021). neural network correction input usv main thruster machine learning conventional method sway controller wind speed neural network controller control input disturbance core sampler simulation artificial intelligence...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-232
... length direction angle artificial intelligence algorithm obstacle steering angle objective function mdp machine learning path segment policy model reinforcement learning denote objective drl-based policy hybrid policy model Proceedings of the Thirty-second (2022) International Ocean...

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