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MJEE-1

Majlesi Journal of Electrical Engineering

Editor-in-Chief: Farbod Razzazi, PhD

Online ISSN: 2345-3796

Print ISSN: 2345-377X

Publishes Quarterly


Volume 4 (2010)

Issue 4, December 2010

Original Article
Emotion Recognition and Emotion Spotting Improvement Using Formant-Related Features

Emotion has an important role in naturalness of man-machine communication. So, computerized emotion recognition from speech is investigated by many researchers in the recent decades. In this paper, the effect of formant-related features on improving the performance of emotion detection systems is experimented. To do this, various forms and combinations of the first three formants […]

Original Article
Fuzzy Jaccard with Degree of Optimism Ranking Index Based on Function Principle Approach

Jaccard index similarity measure which applies the extension principle approach in obtaining the fuzzy maximum and fuzzy minimum has been proposed in ranking the fuzzy numbers. However, the extension principle used is only applicable to normal fuzzy numbers and, therefore, fails to rank the non-normal fuzzy numbers. Apart from that, the extension principle does not […]

Original Article
A Hierarchical Structure of Classification based on Trainable Bayesian Classifier for Logo Detection and Recognition in Document Image

The ever-increasing number of logo (trademark) in official automation systems for information management, archiving and retrieval application has created greater demand for an automatic detection and recognition logo. In this paper, a classification hierarchical structure based on Bayesian classifier is proposed to logo detection and recognition. In this hierarchical structure, using two measures false accept […]

Original Article
Intrusion Detection Based on Rule Extraction from Dynamic Cell Structure Neural Networks

Knowledge embedded within artificial neural networks (ANNs) is distributed over the connections and weights of neurons. So, the user considers ANN as a black box system. There are many researches investigating the area of rule extraction by ANNs. In this paper, a dynamic cell structure (DCS) neural network and a modified version of LERX algorithm […]

Original Article
Forecasting PMLSM Direct Thrust Control Based on Neural Network by Considering Motors Dynamic Behavior and Speed Effects

The direct thrust force control which is the direct torque control linear type method is modified in this article in order to eliminate the defects that are variable switching frequency and existing large ripples of force and flux, by keeping the advantages of thrust force control method which include simplicity of structure, low dependency to […]

Original Article
Calculation of Cogging Force in Permanent Magnet Linear Motor Using Analytical and Finite Element Methods

In permanent magnet (PM) linear motor, there is force ripple, which is detrimental to positioning. This force ripple is mainly due to cogging force and mutual force ripple. These forces are affected by geometric parameters of brushless PM motor, such as width of magnet, height of magnet, shifted length of magnet pole, length and height […]

Original Article
Comparison of ANFIS Based SSSC, STATCOM and UPFC Controllers for Transient Stability Improvement

This paper presents the comparative performance of neuro- Fuzzy controlled Voltage Source Converters (VSC) based Flexible AC Transmission System (FACTS) devices, such as Static Synchronous Series Compensator (SSSC), Static Synchronous Compensator (STATCOM), and Unified Power Flow Controller (UPFC) in terms of improvement in transient stability. In neuro-fuzzy control method the simplicity of fuzzy systems and […]

Original Article
Pathological Vocal Folds Features extraction using a modified Active Contour Segmentation

This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using an active contour segmentation and objective measurements. The ad-hoc designed active contour algorithm permits to obtain a robust and fast segmentation using vocal folds images in RGB format. In this work, we have employed connected component analysis as a post-processing tool. […]

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