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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
A Low Noise Amplifier with Low Voltage, Low Power Consumption, and Improved Linearity at 5 GHz

In this paper a low-noise amplifier with 0.6 V supply voltage, low power consumption, and improved linearity at= 5 GHz is introduced in 0.18 µm CMOS technology. By using a feed-forward structure and a multi-gated configuration in the proposed circuit, linearity of the circuit is significantly improved, while only 122 µW more power is consumed […]

Original Article
A high-gain, low-noise 3.1–10.6 GHz ultra-wideband LNA in a 0.18μm CMOS

An ultra-wideband (UWB) common gate-common source (CG-CS) low-noise amplifier (LNA) in a 0.18μm CMOS technology is presented in this paper. To obtain a high and flat power gain with low noise and good input impedance matching in the entire 3.1–10.6 GHz UWB band among low power consumption, a capacitive cross-coupling fully differential amplifier with the […]

Original Article
An Overview on RAM Memories in QCA Technology

Quantum-dot Cellular Automata (QCA) is a computational technology that can be used to construct nanoscale circuits. Nowadays, this technology is a good alternative for CMOS technology due to features such as high speed, low occupied area and low power consumption. Mmemory is utilized as one of the basic elements in digital circuit design hence the […]

Original Article
Feature dimensionality reduction for recognition of Persian handwritten letters using a combination of quantum genetic algorithm and neural network

Curse of dimensionality is one of the biggest challenges in classification problems. High dimensionality of problem increases classification rate and brings about classification error. Selecting an effective subset of features is an important point in analyzing correlation rate in classification issues. The main purpose of this paper is enhancing characters recognition and classification, creating quick […]

Original Article
Data Clustering Using by Chaotic SSPCO Algorithm

Data clustering is a popular analysis tool for data statistics in several fields, including includes pattern recognition, data mining, machine learning, image analysis and bioinformatics, in which the information to be analyzed can be of any distribution in size and shape. Clustering is effective as a technique for discerning the structure of and unraveling the […]

Original Article
Image Segmentation Based on World Cup Optimization Algorithm

Image segmentation has been widely used in different applications of the image processing. It The main objective of image segmentation is to subdivide the input images to their main components. Generally, the main purpose of the segmentation is to simplify or change an image representation into something that is more meaningful and easier to analyze. […]

Original Article
New Structure of Reactive Power Market by Considering Reactive Power Losses

In this paper, a new reactive power market structure is studied and presented. Active power flow by itself causes active and reactive losses. Considering such losses after active power market clearing and in the reactive power market procedure without paying any costs is the main purpose of this paper. For this purpose, new methodologies for […]

Original Article
A Review on QCA Multiplexer Designs

Quantum-dot Cellular Automata (QCA), is a contemporary nanotechnology for manufacturing logical circuits which brings less power consumption, smaller circuit size, and faster operation. In this technology, logical gates are composed of nano-scale basic components called cells. Each cell consists of four quantum-dot arranged in a square pattern. Diagonal arrangement of two extra electrons resembles two […]

Original Article
An Algorithm to Enhance Cache Efficiency in Multi-core Processors

The Cache efficiency is considered to be one of the major challenges in multi-core processors. Hence, using cache space in such processors should be meticulously managed by each of the cores. This paper addresses the issue of cache re-access and proposes an algorithm which divides the last level of cache into local and global share […]

Original Article
A Review on DTC-SVM Method with Back-to-Back Converter Connected to the Permanent Magnet Generator and Comparison with DTC in the Matrix Converter

In this paper, the direct torque control torque based on space vector modulation (DTC-SVM) for permanent magnet synchronous generator connected to the variable-speed wind power generation system will be discussed. One of the most widely used in industry to convert voltage converters, converters back to back due to the very good features it is used. […]