... intelligence threshold cavitation erosion processing technique united states government video erosion image processing binary image information europe government procedure high-speed video variation bubble size cavitation propeller algorithm international symposium blade root cavitation...

... ABSTRACT The flooding of San Marco square (Venice, IT) during high tide is not entirely prevented by the Mo.S.E. system: in fact, the elevation Marciano quay (the quay in front of S. Marco square) is just at the safeguard threshold guaranteed by the Mo.S.E., the highest accepted water level...

... of multidimensional signal input and learning library size torward signal recognition accuracy is further analyzed. The fluctuation of signal recognition rate is also observed in different frequency thresholds. Finally, the related signal recognition parameters for general application scenarios are given. KEY WORDS...

... return level threshold excess renewable energy caribbean threshold gpd analysis maxima reanalysis data return level plot sustainable development sustainability jamaica estimate 95 extreme value analysis threshold value gpd model wind speed value analysis wave height extreme value...

...-over-threshold (POT) and block maxima method (BMM) are applied to extract local maxima, which are then fitted using a threeparameter Weibull distribution. The average conditional exceedance rate (ACER) method and the Gumbel method are applied and compared with the above method. INTRODUCTION Offshore...

... depth by artificial intelligence models like support vector machines, radial basis function, genetic programming and group method of data handling. A prediction model of BP neural network is proposed for the pipeline scour depth in this paper, which weights and thresholds of the BP neural network were...

... hpht well detection threshold annular pressure drilling south china sea sensor artificial intelligence overflow well-log data hthp well parameter characterization monitoring accuracy big data overflow monitoring upstream oil & gas fusion method feature extraction method data...

... measurements of ocean surface waves match fairly with the measurements from the radar. Preliminary results from full-scale field tests of the Wave Mapper are presented. platform instrument dataset ocean wave radar threshold lidar system coastal engineering north sea lidar equipment lidar...

... generate the worst case load scenario. Choosing a slightly lower H s and T p may result in a steeper sea-state that is strongly governed by wave breaking. crest speed threshold evolution equation criteria elevation prediction simulation steepness reduction crest artificial...

... threshold to eliminate redundant path nodes. The simulation result shows that the optimization can effectively reduce the way-points of the path, avoid frequent course changing for ships, get the way-points and courses, and the result of route planning can be applied to nautical practice directly, which...

... threshold stability plot gaussian distribution estimation credible interval random variable machine learning scale parameter probability mean residual life plot extreme value threshold manufacturer offshore pipeline return level midstream oil & gas material strength...

... Institute of P.L.A Qingdao, Shandong, China ABSTRACT The peak over threshold (POT) method and the generalized Pareto distribution (GPD) model are studied based on 22-year hindcasted wave data. The initial data are divided into many groups with the fixed time interval to ensure the independence...

... is applied to set the LSI threshold values for the low ground liquefaction potential, the medium ground liquefaction potential and the high ground liquefaction potential as 15.2, 29.2 and 48.4, respectively. KEY WORDS: Liquefaction; liquefaction potential index (LPI); liquefaction severity index (LSI); cone...

... ABSTRACT This paper employs the Peak Over Threshold/Generalized Pareto Distribution (POT/GPD) method to assess the extreme value of significant wave height in the South China Sea, based on the tropical cyclone wave hindcast data from 1972 to 2011. The POT/GPD method is compared with the Annual...

... with operational data can be found in a recent review of the authors (Tautz-Weinert and Watson, 2016a). turbine operational data normal behaviour computational effort detection wind energy neuron farm replacement threshold wind turbine condition algorithm machine learning configuration scada...

... as a conservative threshold for the computational assessment in order to get worst cases scenarios. Damage induced by the impact to the pipeline are assessed taking into account different parameters (pipe, geometry, crane, boundary conditions, etc.). Results show that there is no failure of the studied pipelines...

... ew direction natural period peak displacement displacement whp drill pipe selection threshold subsea system operator topside mass assessment time history dynamic response structural model calculation drillstring design offshore platform Fixed Structure Motion Measurement...

... embankment information pipe soil interaction model ground movement midstream oil & gas interaction model settlement consolidation offshore pipeline threshold pipeline displacement gas transmission pipeline resolution dyke assessment differential displacement Strain-based and stress...

... distribution function platform design machine learning extreme value analysis fino 1 sector 330 offshore projects planning and execution extreme load parameter threshold renewable energy square method wind speed subsea system measurement value load parameter distribution parameter histogram...

.... This paper considers various extrapolation methods to investigate the uncertainty in the extrapolation methods and to see if all methods confirm that the moderate storms are dimensioning. ship class society vibration state method 1 method 3 threshold gumbel distribution extrapolation method...