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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
Short-term Prediction of Traffic Rate Interval Router Using Dynamic Synapse Neural Network

Prediction is an important issue in many dynamical systems and is vital for effective management and control of plants. An important process which has recently derived much attention is the congestion control problem. Prediction of different traffic parameters can help in managing a congestion in a computer network. In this thesis, using real data for […]

Original Article
Using Binning for Tree Construction in Application

The application Layer Multicast (ALM) is an alternative and deployable approach to IP multicasting. Topology awareness link stress and delay stretch considerably, therefore it is a very important metric for ALM. This work describes a novel, highly stable and low overhead ALM approach using a binning technique to cluster nearby receivers, referred to as Bincast. […]

Original Article
Topology Selection and Optimization of a Linear Permanent Magnet Synchronous Motor for Precise Applications

Linear permanent magnet synchronous motors are increasingly used in industrial application. Proper performance of these motors requires appropriate design and construction of them. This paper presents the suitable topology selection and optimal design of a linear permanent magnet synchronous motor for precise applications. For this, a comprehensive analysis is done on different topologies of this […]

Original Article
Estimation of Signal-to-Noise Ratio in Dynamic Communication Channels Using Time-Delay Radial Basis Neural Network

In this paper, the signal-to-noise ratio (SNR) of dynamic communication channels, using a radial basis function (RBF) neural network with time-delay structure, is estimated. The exactitude of the estimation is sufficient for systems which are based on link adaptation techniques. The proposed system for estimating SNR does not demand on having any prior knowledge about […]

Original Article
A New Fuzzy-neural STATCOM Controller for Transient Stability Improvement in

In this paper a neuro-fuzzy controller is proposed to enhance transient stability and increase critical clearing time (CCT) in the static synchronous compensator (STATCOM). For achieving this idea, first the controller is designed based on the Lyapunov energy function. In order to avoid complexity of computation and overcome system uncertainty a neuro-fuzzy controller is proposed. […]

Original Article
Improving the Mitigation of Voltage Flicker by Usage of Fuzzy Control in a Distribution Static Synchronous Compensator (DSTATCOM)

This paper presents a study about of a fuzzy Controlled STATCOM,  which can be applied for mitigation of the voltage flicker in a distribution system. The voltage flicker is produced by a large variable load absorbing continuously changing currents such as an arc furnace. The DSTATCOM includes a voltage-sourced PWM inverter and its control system. […]

Original Article
Asymmetric Gate Oxide Thickness Technology for Reduction of Gate Induced Drain Leakage Current in Nanoscale Single Gate SOI MOSFET

Gate Induced Drain Leakage (GIDL) current is one of the main leakage current components in Silicon on Insulator (SOI) MOSFET structure and plays an important role in the data retention time of DRAM cells. GIDL can dominate the drain leakage current at zero bias and will limit the scalability of the structure for low power […]

Original Article
Tumor Detection in Digital Mammogram Based on Support Vector Machine Using Co-occurrence Matrix

 Breast cancer is one of the leading causes of deaths among women. Mammography is currently the best method for early detection. Due to the breast tissue type and different kinds of lesions, by using low dose x-ray in mammography, the detection of lesions in mammograms becomes very ambiguous and a tedious work .  Early detection […]

Original Article
A Method for Reducing Memory Effect in RF Amplifier with FIR Filter

In this paper we study various techniques of power RF amplifier linearization and analyze the most effective circuits of predistortion digital circuits. We propose a method for adapting this circuit and compare the advantages and disadvantages of this circuit with conventional predistortion circuit. The main problem with predisrortion circuit is the memory effect. We propose […]

Original Article
Optimal Choice and Allocation of FACTS Devices to Decrease Power Network Loss’s Using Genetic Algorithms

With increase energy consumption in the world, power network development is necessary but creating a new transmission line is very costly. Therefore increasing line transmission capability is economic. We propose a method to FACTS device to the power network, in this paper and resulted in introducing decrease power network loss's and increase transmission capability with […]