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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
Congestion Influence on Optimal Bidding in a Competitive Electricity Market using Particle Swarm Optimization

Electricity market plays an important role in improving the economics of electrical power system. Transmission network is vital entity in an open access restructured electricity market. Whenever transmission network congestion occurs in an electricity market, it divides the market in different zones and the trading price of electricity will no longer remains the same for […]

Original Article
Automatic Liver segmentation Using Vector Field Convolution and Artificial Neural Network in MRI Images

Accurate liver segmentation on Magnetic Resonance Images (MRI) is a challenging task especially at sites where surrounding tissues such as spleen and kidney have densities similar to that of the liver and lesions reside at the liver edges. The first and essential step for computer aided diagnosis (CAD) is the automatic liver segmentation that is […]

Original Article
A New Topology of Three-Phase Four-Wire UPQC with a Simplified Control Algorithm

In this paper, a simplified control algorithm based on unit vector template generation (UVTG) is proposed for a star-delta supported three-phase four-wire (3P-4W) unified power quality conditioner (UPQC) topology for the improvement of different power quality problems. Different topologies reported in literature for 3P-4W UPQC use active compensation for the mitigation of source neutral current […]

Original Article
GA-PSO-Optimized Neural-Based Control Scheme for Adaptive Congestion Control to Improve Performance in Multimedia Applications

Active queue control aims to improve the overall communication network throughput, while providing lower delay and small packet loss rate. The basic idea is to actively trigger packet dropping (or marking provided by explicit congestion notification (ECN)) before buffer overflow. In this paper, two artificial neural networks (ANN)-based control schemes are proposed for adaptive queue […]

Original Article
Compensation for Power Quality Improvement in Electric Arc Furnace with Considering Economic Index

In recent years, on the one hand with increasing application of nonlinear loads in power systems and no sinusoidal currents that extracted from system, and on the other hand increasing loads sensitive to power quality and destructive effects of nonlinear loads on power quality of power systems, compensation these loads has been converted to one […]

Original Article
An 8/6 Two Layers Switched Reluctance Motor: Modeling, Simulation and Experimental Analysis

Development in power electronic derives, moreover simplicity and robustness of Switched Reluctance Motor (SRM) besides their ability to work in harsh conditions, makes them appealing to industrial applications. Structurally, SRM has ability to conform to different configurations to make it suited for purposed application. In this paper, an 8/6 two layers Switched Reluctance Motor is […]

Original Article
A Novel Hybrid System Based on Fractal Coding for Soccer Retrieval from Video Database

Most information retrieval systems make indirect use of human knowledge in their retrieval process. The novel systems presented here uses the human knowledge directly to retrieve the soccer events. The proposed system is an extended method in three aspects as follows: in the query model, the query by example and query by keywords are applied […]

Original Article
A Solution for Risk Management of a Distribution Company in the Retail Market

In this paper, distributed generations for risk management of a distribution company (DisCo) in the competitive market environment are introduced. The proposed model for this problem considers a stochastic programming framework in the yearly horizon that is to maximize the expected profit considering the uncertainties of the retail market such as the end user demand […]

Original Article
Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization

Biogeography based optimization (BBO) is a new stochastic force based on the science of biogeography. Biogeography is the schoolwork of geographical allotment of biological organisms. BBO utilizes migration operator to share information between the problem solutions. The problem solutions are known as habitats and sharing of features is called migration. In this paper, BBO algorithm […]

Original Article
Investigation of Dynamic Behavior of Smart Piezoelectric Actuators Using Artificial Neural Networks

The purpose of this study is to investigate microelectromechanical behavior of smart piezoelectric actuators using Artificial Neural Networks due to simple, multi harmonic and dynamic pulse excitations. Regarding to complexity and time-consuming analyses of vibration of smart structures, existing classical models are often insufficient. Nowadays, artificial intelligence tools are used for modeling such complex phenomena. […]