Among neural models the Support Vector Machine (SVM) solutions are attracting increasing attention, mostly because they eliminate certain crucial questions involved by neural network construction. The main drawback of standard SVM is its high computational complexity, therefore recently a new technique, the Least Squares SVM (LS–SVM) has been introduced. In this paper we present an extended vie...

This paper comprehensively analyzes the relationship between space-vector modulation and three-phase carrier-based pulsewidth modualtion (PWM). The relationships involved, such as the relationship between modulation signals (including zero-sequence component and fundamental components) and space vectors, the relationship between the modulation signals and the space-vector sectors, the relations...

The relationship between space vector modulation and regular-sampled PWM techniques for hard-switching PWM inverters and rectifiers are reexamined in this paper. Space vector modulation with optimized apportioning of null vector time that results in minimum current THD is investigated and is compared with previously known methods. The conventional optimal regular-sampled PWM method and its rela...

This paper proposes a generalized space vector pulse width modulation (SVPWM) technique for hybrid multilevel inverters for minimizing total harmonic distortion (THD). The proposed method easily determines the actual location of the instantaneous reference space vector and the corresponding switching sequence of a multilevel inverter. The proposed algorithm offers a novel method for minimizing ...

Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems. To achieve better performance, researchers combine multiple subsystems with the results often much better than a single SLR system. Phonotactic SLR subsystems may vary in the acoustic features vectors or include multiple language-specific phone recognizers and differen...

Abstract: A combination of Direct Torque Control (DTC) and Space Vector Modulation (SVM) for an Induction Motor (IM) drive is defined in this paper. A two-level SVPWM inverter is delivered to the induction motor drive. Using IM model in the stator D-Q axes reference frame. The inverter voltage is achieved based on inputoutput feedback linearization control. This paper signifies a Fuzzy Logic Co...

The paper investigates the impact of different space vector modulation (SVM) techniques on the operation of ultrahigh speed induction machines (USIMs), where the mf frequency ratio is low owing to the necessarily high fundamental frequency f1. Three different sampling techniques, the Regular Sampled, Naturally Sampled and the Oversampled are studied by simulation. It is found that the SVM is pr...

This paper presents a new adaptive Sliding-Mode flux observer for speed sensorless and rotor flux control of three-phase induction motor (IM) drives. The motor drive is supplied by a three-level space vector modulation (SVM) inverter. Considering the three-phase IM Equations in a stator stationary two axis reference frame, using the partial feedback linearization control and Sliding-Mode (SM) c...

Training support vector machines (SVMs) with nonlinear kernel functions on large-scale data are usually very timeconsuming. In contrast, there exist faster solvers to train the linear SVM. We propose a technique which sufficiently approximates the infinite-dimensional implicit feature mapping of the Gaussian kernel function by a low-dimensional feature mapping. By explicitly mapping data to the...

For addressing the growing problem of junk E-mail on the Internet, this paper proposes an effective E-mail classifying technique. Our work handles E-mail messages as semi-structured documents consisting of a set of fields with predefined semantics and a number of variable length free-text contents. The main contributions of this paper include the following: First, we present a Support Vector Ma...