The aim of this paper is to analyze the influence of some parameters related with the permanent magnet motor control, which are being considered as an attractive alternative for electrical vehicle application where it is important to minimize the losses to increase the vehicle autonomy. In this paper, the attention is focused on the selection of the speed controller parameters and its impact bo...

Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness and distributed, decentralized nature, which are well suited for routing in modern communication networks. This paper describes an adaptive swarm-based routing algorithm that increases convergence speed, reduces routing instabilities and oscillations by using a nov...

To solve the problems of low precision, slow convergence speed and difficult data fusion of standard particle filtering algorithm, a new hybrid intelligent optimization algorithm applicable for data fusion is presented in this paper and will conduce to finding the ideal solution domain by making use of the global convergence of artificial fish swarm and enhancement of fusion precision by guidin...

Gas turbines are currently a popular power generation technology in countries with access to natural gas resources. However they are very complex systems the operation of which at peak performance is challenging. This paper proposes the use of a hybrid approach based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the control of the speed and the exhaust temperature of a gas turbine. Th...

The influence of 0-27 g/100g of full-fat soy flour (FFSF), 31-35g/100g of water content and extrusion conditions on the textural characteristics of spaghetti were evaluated. Process was performed with screw speed of 10-40 rpm and water circulating temperature of 35-70. This enrichment resulted in significant differences in mechanical strength and cutting parameter. Based on the mixture surface ...

This article proposes the use of system value-based optimization with a symbol-level minimum mean square error equalizer and a successive interference cancellation which achieves a system value upper bound (UB) close to the Gaussian UB for the high-speed downlink packet access system without affecting any significant computational cost. It is shown that by removing multi-code channels with low ...

For reducing impulsive noise without degrading image contours, median ltering is a powerful tool. In multi-band images, as for example color images or vector eld obtained by optic ow computation, a vector median lter can be used. Vector median lters are deened on the basis of a suitable distance, the best performing distance being the euclidean. Euclidean distance is computed by using the eucli...

This paper aims to be an aid to those chemists who are interested in utilizing high-speed counter-current chromatography (HSCCC), which is free of irreversible adsorption and offers high resolution comparable to column chromatography. It explains the selection of HSCCC conditions step by step including the selection of two-phase solvent systems, determination of partition coefficient (K) of ana...

This paper presents Maximum Power Point Tracking (MPPT) controller design of Doubly Fed Induction Generator (DFIG) using Genetic Algorithm (GA). Essential feature of proposed controller is that it is used to trace the maximum power when wind speed is lower than the rated wind speed. Doubly-Fed Induction Generator DFIG has stator terminals are connected directly to the grid. However, the rotor t...

The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind of classifier can be important for many applications. In this paper we report a fast method to combine OPF-based classifiers trained with disjoint training subsets. Given a fi...