... of system delays, phase lag can be mitigated. marine transportation artificial intelligence simulation actuation deep learning controller ride control algorithm reduction san diego united states government machine learning prediction effectiveness foil angle displacement neural network...

... of possible classes. artificial intelligence segmentation ensemble pixel deep learning convolutional neural network smc 2022 prediction classification sea ice characterization matthew king houston validation machine learning dataset architecture semantic segmentation SNAME Maritime...

... is on building and testing machine learning models that can accurately predict the shaft power of a vessel under different conditions. The models examined include pure empirical models, pure neural network models, and combinations of the two. Using data on two car carrying vessels for 8 years it was found...

... Quiescent Period Prediction (QPP) purpose is to provide ship motion conditions and motion predictions with sufficient forecasted time to launch, recover, and complete other motion sensitive tasks regardless of the seaway. QPP operates within a federated architecture system containing measurement...

... varied independently and validated using experimental data. The URANSE CFD simulations were validated by comparison with the experimental results and unsteady thin-ship resistance predictions of Doctors et al. (2010). The numerical results show reasonable agreement with rowing shells experimental data...

... and never-ending stream of data. The author has applied the concept of continual learning to building a system that continually learns from actual boat performance and refines predictions previously done using static VPP data. The neural networks used are initially trained using the output from traditional...

..., wave period, wave direction, etc., are screened from the buoy measurements to build a predictive model based on multiple linear regression for significant wave height prediction. A sensitivity analysis is then conducted for the available weather window corresponding to specified threshold operational...

... CFD is a useful tool for ship designers looking for accurate predictions of the fuel efficiency achieved by a certain combination of hull, propeller and Energy Saving Devices (ESDs). Such predictions are key to meeting ever-increasing demands for reductions in emissions. However, CFD simulations...

... The main purpose of this work is the development of the wave reconstruction and prediction system RIMARC for forecasting of waves and vessel motion in real time a few minutes in advance. RIMARC (Radar IMAge ReConstruction and wave prediction) utilises ocean surface measurements from a standard X...

... Accurate estimation of the added resistance and added power of a ship in waves is essential to ensure efficient and safe operations at sea. The objectives of this work are to (1) present an efficient means of predicting the added resistance and added power of the KRISO Container Ship (KCS...

... This paper proposes a methodology for vessel-specific wave induced fatigue damage estimation and prediction based on Spectral-Based Fatigue Analysis (SFA) and Monte Carlo simulation (MCS). The impact of the vessel-specific wave conditions on the vessel’s fatigue damage is characterized...

... underwater radiated noise, are continuing to be tightened by regulatory institutions. This development is urging the shipbuilding industry to improve sound prediction and analysis methods. With the propeller as the dominating acoustic source under water, in particular propulsion solution manufacturers need...

...Rapid Simulation of Ship Motions during Maneuvering in Operational Wave Conditions Kevin McTaggart (FL) Defence Research and Development Canada Ship design and operational planning require methods for predicting ship maneuvering including wave-induced motions. Rapid evaluation of ship motions...

... captive model tests to derive the hydrodynamic derivatives in a really cost effective way. These derivatives are being inserted in a simulation maneuvering model for the prediction of the maneuvering performance. It should be noted that the hull, which is subjected to the virtual captive model tests...

...); Howison et al. (1991). The hydrodynamic models are coupled to a linear finite element beam model through a relationship between spray root location and the local deflection. Results of a validation study comparing model predictions to experiments described in Ren et al. (2019a); Javaherian et al. (2019...

... Centre 3Envenio, Inc In order to safely design submarines and other underwater vehicles, it is critically important to understand and be able to predict the hydrodynamic forces and moments they will experience in operation. Most methods of predicting the hydrodynamic forces during maneuvering assume...

... cross deck magnitude trimaran trimaran design arrangement maneuvering october 2019 hull prediction baseline hull Trimaran Design and Performance Author names: William S. Weidle1 (M), Keisuke Suzuki2 (V), Yoshiki Miyauchi2 (V), Parker L. Field1 (M), James W. Lovenbury1 (V) 1. Naval Surface...

... modeling & simulation rudder coefficient fredyn wave drift force october 2019 tacoma wa marine transportation wave elevation quadvlieg manwav prediction autopilot maneuvering artificial intelligence model test ship sname maritime convention smc In recent years...

... Unexpected failures can have drastic consequences for ships, and taking a cue from other industries, operators are looking to implement predictive maintenance solutions using sensor data generated by shipboard machinery. One ship operator engaged with artificial intelligence (AI) company Spark...

... artificial intelligence location dependent green water quantity prediction 1 On the Creation of a Safe Operating Envelope for Ships Sean Kery, Scott Henry, Michael Eaton, John Vasilakos CACI Abstract: A Safe Operating Envelope (SOE) for sea going vessels seems like a good idea at face value...