The quality of channel state information (CSI) affects the performance of multiple inputmultiple output (MIMO) systemswhich employmulti-elements antenna arrays at both the transmitter and the receiver. In a time division duplex (TDD) systems, the CSI for downlink can be obtained from uplink channel using reciprocity principal. However, the performance of a MIMO system can be degraded due to cha...

We consider the following problem: Given a finite number of sails of different sizes with prescribed shapes, given the speed of the wind, the weight of a surfer, the size and shape of a surfboard and a corresponding fin; determine the sail and the course such that the windsurfer achieves maximal speed. We develop a simple model for describing the movement of the windsurfer for maximizing the sp...

We introduce an estimation of distribution algorithm that co-evolves fitness predictors in order to reduce the computational cost of evolution. Fitness predictors are light objects which, given an evolving individual, heuristically approximate its true fitness. The predictors are trained by their ability to correctly differentiate between good and bad solutions using reduced computation. We app...

Glass fiber reinforced plastic (GFRP) composite materials are a feasible alternative to engineering materials and are being extensively used in variety of engineering applications. Accordingly, the need for accurate machining of composites has increased enormously. During machining, the obtained surface roughness is an important aspect. The present investigation deals with the study and develop...

Abstract. Machine learning is quickly becoming a commonly used technique for wind speed and power forecasting. Many machine methods utilize exogenous variables as input features, but there remains the question of which atmospheric are most beneficial forecasting, especially in handling non-linearities that lead to forecasting error. This addressed via creation hybrid model utilizes an autoregre...

The goal of our research works is to build a software for fabric modeling. Our research team wants to simulate any fabric deformations due to mechanic stresses. This paper deals with our solutions to speed up calculus convergence of fabric model simulation. These solutions are based on clever propagation algorithm, multi sampling and displacement prediction. Into bibliography, there is several ...

Traffic flow is a many-car system with complex and stochastic movement. It is difficult to describe the system dynamics solely using deterministic models which describe average system behaviors. Therefore, a stochastic speed-density relationship is proposed as a further step forward to overcome the well-known drawbacks of deterministic models. Modeling results show that by taking care of second...

In this paper, model predictive control (MPC) strategy is implemented to a GE9001E gas turbine power plant. A linear model is developed for the gas turbine using conventional mathematical models and ARX identification procedure. Also a process control model is identified for system outputs prediction. The controller is designed in order to adjust the exhaust gas temperature and the rotor speed ...

We have discussed the following measurable characteristics of intelligent behavior in computing systems: (1) speed and scope of adaptibility to unforeseen situations; (2) rate of effective learning of observations; (3) accurate modeling and prediction of the relevant external environment; (4) speed and clarity of problem identification and formulation; (5) effective association and evaluation o...

We propose an algorithm for regression tree construction called GUIDE. It is specifically designed to eliminate variable selection bias, a problem that can undermine the reliability of inferences from a tree structure. GUIDE controls bias by employing chi-square analysis of residuals and bootstrap calibration of significance probabilities. This approach allows fast computation speed, natural ex...