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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

Original Article
Farsi Nastaligh Word Recognition by Using Artificial Neural Networks

This paper introduces a complete system for recognition of Farsi Nastaaligh handwritten words using Neural Networks. In preprocessing stage, after connected component specification, new algorithms are applied to find and eliminate ascenders, descenders, dots, and other secondary strokes from the original image. Then by using a segmentation algorithm based on analyzing upper and under contours, […]

Original Article
GMM Optimization Using Neural Networks for Persian Language Detection

Language identification (LID) in speech signals is an important classification task. In this paper Persian language verification is proposed and evaluated. The system is developed by using Gaussian mixture models as a basic system for tokenizing and a Neural Network as the backend processor. Gaussian Mixture Models can be utilized to model the distribution of […]

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
Automatic Prostate Segmentation in Ultrasound Images using GVF Active Contour

Prostate cancer is one of the leading causes of death by cancer among men in the world. Ultrasonography is said to be the safest technique in medical imaging so it is used extensively in prostate cancer detection. In the other hand determining of prostate’s boundary in TRUS (Transrectal Ultrasound) images is very necessary in lots […]

Original Article
Optimal control of nonlinear systems using Multi-Layer Perceptron Neural Network and adaptive extended Kalman Filter

In this paper we present a nonlinear optimal control method based on approximating the solution of Hamilton-Jacobi-Bellman (HJB) equation. Value function is approximated as the output of Multilayer Perceptron Neural Network (MLPNN). Parameters of MLPNN are weights and biases of each layer that form structure of the proposed neural network. These parameters are unknown thus […]

Original Article
Haptic Interface Controller Design using Intelligent Techniques

Haptic technology has enormous applications in several fields from medical, military, and in our day-to-day life’s products including video games, smartphones, and smart cities. The Haptic Interface Controller (HIC), a key circuitry for interaction between the user and the virtual world, has two main control issues: stability and transparency. These two issues are complementary to […]

Original Article
Soft Computing-Based Congestion Control Schemes in Wireless Sensor Networks: Research Issues and Challenges

Wireless Sensor Networks (WSNs) are a special class of wireless ad-hoc networks where their performance is affected by different factors. Congestion is of paramount importance in WSNs. It badly affects channel quality, loss rate, link utilization, throughput, network life time, traffic flow, the number of retransmissions, energy, and delay. In this paper, congestion control schemes […]

Original Article
A Two-Criteria Weather Routing Method Based on Neural Network and A-star Algorithm

This paper presents the construction of a method to find the optimal route for ships with two criteria: fuel consumption and sailing time. Unlike most previous studies, the data used in this research was generated from a simulation model using the HIL (Hardward-In-The-Loop) technology instead of real operational data. The HIL simulator is built from […]

f4-j.mjee.2024.1802.30