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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-014
... frequency yacht sensor fusion compass compute outlier algorithm kalman filter robustness artificial intelligence covariance matrix application sensor faulty sensor fault detection innovation covariance update step matrix equation In modern offshore racing, performance...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-015
... optimization problem stiffener evolutionary algorithm design space machine learning thickness composite material yacht composite structure design process safety factor optimisation artificial intelligence failure criterion laminate configuration zenkert & battley population...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-010
... configurations such as a T-Foil rudder. calculation appendage optimization problem hull artificial intelligence yacht windesign10 side force performance prediction vpp claughton configuration foil rudder angle boat chesapeake sailing yacht symposium lifting foil freedom formulation...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-007
... for maximum performance. graf prediction wingsail profile machine learning accuracy surrogate model camber ll code order model stall ll model configuration flap angle machine learning algorithm profile optimisation ran simulation artificial intelligence simulation coefficient drive...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-009
... on what the opponent might do, perform better than those that did not. It is concluded that Monte-Carlo tree search can provide a basis for decision making in match races and that it has potential for further use. artificial intelligence game state simultaneous move game utility estimate time...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-008
... loadcases, are given. artificial intelligence height difference closing speed plug-in rectangle team japan statistics proximity crash event impact plug-in manoeuvre competitor evasive manoeuvre scenario timestep crashworthiness intersection point team usa impact event collision...
Proceedings Papers

Paper presented at the SNAME 24th Chesapeake Sailing Yacht Symposium, June 10–11, 2022
Paper Number: SNAME-CSYS-2022-016
.... Various structural configurations will be analysed using the framework outlined in this paper. artificial intelligence wedge deadrise angle water impact problem upstream oil & gas transverse section mesh solver vof method water impact simulation free surface impact event...
Proceedings Papers

Paper presented at the SNAME 23rd Chesapeake Sailing Yacht Symposium, March 15–16, 2019
Paper Number: SNAME-CSYS-2019-006
... hull artificial intelligence application amplitude spectrum stiffness deflection diagram coefficient speed polar diagram tw 20knot yacht The increasing number of foiling yachts in offshore and inshore races has driven engineers and researchers to significantly improve the current...
Proceedings Papers

Paper presented at the SNAME 23rd Chesapeake Sailing Yacht Symposium, March 15–16, 2019
Paper Number: SNAME-CSYS-2019-007
...., "Hydrodynamics in Ship Design, Volume 1", The Society of Naval Architects and Marine Engineers (SNAME), New York, NY, USA, 1957. force module actuator tack dagger board crew movement simulation turn rate maneuver procedure module rake optimum tack optimization problem artificial intelligence...
Proceedings Papers

Paper presented at the SNAME 23rd Chesapeake Sailing Yacht Symposium, March 15–16, 2019
Paper Number: SNAME-CSYS-2019-010
... part of these studies tries to reproduce the human behavior, its sensations at the helm that enable to adapt to any situation by using artificial intelligence methods. For instance, Tiano, et al., (2001) draws on neural networks to design a course-keeping autopilot for a sailboat. Neural networks...
Proceedings Papers

Paper presented at the SNAME 23rd Chesapeake Sailing Yacht Symposium, March 15–16, 2019
Paper Number: SNAME-CSYS-2019-011
... objective least-time route maneuver artificial intelligence criteria polar diagram THE 23RD CHESAPEAKE SAILING YACHT SYMPOSIUM ANNAPOLIS, MARYLAND, MARCH 2019 Sailboat Routing with Multiple Objectives for Sailing Races Goulven Guillou, Lab-STICC, University of Brest, France Laurent Lemarchand, Lab...
Proceedings Papers

Paper presented at the SNAME 22nd Chesapeake Sailing Yacht Symposium, March 18–19, 2016
Paper Number: SNAME-CSYS-2016-010
... artificial intelligence simulation hull proceedings formulation element method variation contribution application downwind case maneuvering motion equation In order to create capability for analyzing course instabilities of sailing yachts in waves, the authors are at an advanced stage...
Proceedings Papers

Paper presented at the SNAME 22nd Chesapeake Sailing Yacht Symposium, March 18–19, 2016
Paper Number: SNAME-CSYS-2016-001
... are presented, varying design parameters of the catamaran. upstream oil & gas resistance investigation artificial intelligence constraint wake sheet span optimization problem vorticity coefficient daggerboard solver vortex filament drag coefficient wind speed rudder wing free vortex...
Proceedings Papers

Paper presented at the SNAME 22nd Chesapeake Sailing Yacht Symposium, March 18–19, 2016
Paper Number: SNAME-CSYS-2016-003
... and Statistics. Academic press, 1964. 48 optimization problem variance machine learning upstream oil & gas reservoir simulation artificial intelligence merit function sail system prediction iteration turbulence model optimization procedure optimization convergence noise numerical model...
Proceedings Papers

Paper presented at the SNAME 22nd Chesapeake Sailing Yacht Symposium, March 18–19, 2016
Paper Number: SNAME-CSYS-2016-016
... the expected time needed to complete the race. risk management node optimization problem optimal strategy opponent knowledge machine learning neural network correspond computation upwind leg wind forecast probability sailing match race grid artificial intelligence tack yacht skipper...
Proceedings Papers

Paper presented at the SNAME 22nd Chesapeake Sailing Yacht Symposium, March 18–19, 2016
Paper Number: SNAME-CSYS-2016-015
...-domain dynamic velocity prediction program (DVPP). The results are demonstrated using a single handed Laser and demonstrate an acceptable level of accuracy. centreline body segment loading artificial intelligence yacht sailor machine learning capture system spenkuch turnock performance...
Proceedings Papers

Paper presented at the SNAME 21st Chesapeake Sailing Yacht Symposium, March 15–16, 2013
Paper Number: SNAME-CSYS-2013-002
... it is found that it is possible to use a linear model to represent sailing yacht. Full-scale data collected while sailing upwind on a port tack is used to estimate 10 different linear models. deviation linear model sailing yacht artificial intelligence coefficient true wind speed yacht model 8...
Proceedings Papers

Paper presented at the SNAME 20th Chesapeake Sailing Yacht Symposium, March 18–19, 2011
Paper Number: SNAME-CSYS-2011-003
... shape at full scale and model agrees well for given trim settings of the spinnaker, while trim settings for driving force optima where quite different. artificial intelligence yacht full scale machine learning apparent wind angle flying shape investigation university wind tunnel flying...
Proceedings Papers

Paper presented at the SNAME 20th Chesapeake Sailing Yacht Symposium, March 18–19, 2011
Paper Number: SNAME-CSYS-2011-002
.... apparent wind variation aravanti model international conference simulation oscillation innovation representation artificial intelligence calculation stripe shroud performance sailing yacht navigation parameter information coherence load variation evolution boat phase shift THE 20th...

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