Aurel Vlaicu University of Arad

About: Aurel Vlaicu University of Arad is a education organization based out in Arad, Romania. It is known for research contribution in the topics: Fuzzy logic & Fuzzy control system. The organization has 312 authors who have published 904 publications receiving 6727 citations. The organization is also known as: UAV & Universitatea „Aurel Vlaicu” din Arad.

Tight Bounds on the Coefficients of Consecutive k-out-of-n:F Systems

Abstract: In this paper we compute the coefficients of the reliability polynomial of a consecutive-k-out-of-n:F system, in Bernstein basis, using the generalized Pascal coefficients. Based on well-known combinatorial properties of the generalized Pascal triangle we determine simple closed formulae for the reliability polynomial of a consecutive system for particular ranges of k. Moreover, for the remaining ranges of k (where we were not able to determine simple closed formulae), we establish easy to calculate sharp bounds for the reliability polynomial of a consecutive system.

Luhn Prime Numbers

Abstract: The first prime number with the special property that its addition with reversal gives as result a prime number toois 229. The prime numbers with this property will be called Luhn prime numbers. In this article we intend to presenta performing algorithm for determining the Luhn prime numbers. Using the presented algorithm all the 50598 Luhnprime numbers have been, for p prime smaller than 2 · 107.

Identifier based interval type-2 fuzzy tracking control

Abstract: Based on system identifier, interval type-2 fuzzy neural network (IT2FNN) tracking control for a class of unknown nonlinear dynamic system is developed in this paper. In order to fully handle or accommodate the linguistic and numerical uncertainties associated with dynamic unstructured environments, an IT2FNN controller equipped with a learning algorithm is developed. In the meantime, an IT2FNN identifier is incorporated into the IT2FNN controller to predict the system sensitivity of the unknown nonlinear dynamic system. The comparison between type-1 FNN (T1FNN) controller and IT2FNN controller is given to sufficiently illustrate the effectiveness of the proposed control scheme.

Ramp prediction in wind farms

Abstract: Globally, wind energy has lessened the burden on conventional fossil fuel-based power generation. Wind resource assessment for onshore and offshore wind farms aids in accurate forecasting and analyzing the nature of ramp events. Ramp events are scenarios in wind farms where the wind speed changes over a small amount of time leading to large power change. From an industrial point of view, a large ramp event in a short time duration is likely to cause damage to the wind farm connected to the utility grid. In this chapter, ramp events are predicted using hybrid machine intelligent techniques such as support vector regression (SVR) and its variants, random forest regression, and gradient boosted machines for onshore and offshore wind farm sites. A wavelet transform-based signal processing technique is used to extract features from wind speed. Results reveal that SVR-based prediction models give the best forecasting performance. In addition, gradient boosted machines (GBM) predict ramp events closer to the twin support vector regression (TSVR) model. Furthermore, the randomness in ramp power is evaluated for onshore and offshore wind farms by calculating the log energy entropy of features obtained from wavelet decomposition and empirical model decomposition.

Antecedents of Services Consumer Satisfaction Mirroring Individual Differences

Abstract: In specialised literature, a less walked path concerns the potential relationship between the antecedents which bear witness to individual differences among consumers and satisfaction. In the present study we shall approach two such antecedents, namely the personal values and the consumer’s personality.