This study investigates the speed-power relationship of ships, and is based on a combined econometric naval architectural data-driven model fed with operational data from more than 50,000 noon reports obtained 88 tankers. It shown that exponent significantly lower 3 at speed intervals below design speed. finding, including itself, affects environmental discussions related to slow steaming, sinc...

In general, high-speed network traffic is a complex, nonlinear, nonstationary process and is significantly affected by immeasurable parameters and variables. Thus, a precise model of this process becomes increasingly difficult as the complexity of the process increases. Recently, fuzzy modeling has been found to be a powerful method to effectively describe a real, complex, and unknown process w...

in this study, the capabilities of wawewatch-iii and mike21-sw for predicting the characteristics ofwind-generated waves in hormuz strait are evaluated. the numerical models have been set up using input data including gfs wind with 5° spatial resolution and 6 hours time intervals, along with the etopo1 bathymetry data with 2 arc-minute spatial resolutions. the results of the two model simulatio...

some of the important mechanical loads in the civil and military industries are variable speed and power and their efficiency. mechanical coupling of two different electric motors is suitable for these types of application. using this technique reduces energy consumption of submarine’s motion system and submarine range would be increased. but the use of this technique requires a complex control...

The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

an important property that has been extensively studied in quantitative structure activityrelationship (qsar) is the chromatographic retention index. qsar study is suggested for theprediction of retention index of alkanes and alkenes compounds. modeling of the retention indexof alkanes and alkenes compounds as a function of molecular structures was established bydifferent chemometrics methods. ...

In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...

Time series analysis develops models that can establish the relationship between different variables. For nonlinear systems using time series analysis we propose to combine the 4 techniques of: i) Radial Basis Function (RBF), ii) artificial neural networks, iii) adaptive control and iv) optimization, and explore the design of robust control algorithms for uncertain nonlinear systems. Then, base...

In this paper a novel approach, based on a neural network structure, is introduced in order to face with the problem of pollutant estimation in an urban area. A neural architecture, based essentially on suitable number of layers devoted to predict alarm situations and to estimate the value of the pollutant, has been implemented. A new method for short term prediction is presented using the neur...

‎financial market modeling and prediction is a difficult problem and drastic changes of the price causes nonlinear dynamic that makes the price prediction one of the most challenging tasks for economists‎. ‎since markets always have been interesting for traders‎, ‎many traders with various beliefs are highly active in a market‎. ‎the competition among two agents of traders‎, ‎namely trend follo...