Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)

Journal Metrics


 Publication start year






 No. of Volumes


 No. of Issues


 No. of Published Articles


 Number of Contributors


 Article View


 PDF Download


 View Per Article


 PDF Download Per Article


 Number of Submissions


 Rejected Papers


 Accepted Articles


 Acceptance Rate


 Average Acceptance Date (Days)


 No. of Indexing Databases


 No. of Reviewers



Journal of Electrical and Computer Engineering Innovations (JECEI) is an open access semiannual FREE CHARGE publication as a non-commercial publication affiliated with Shahid Rajaee Teacher Training University. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and then rigorously peer-reviewed by the international reviewers. JECEI is a peer-reviewed journal publishes original research papers, reviews, case studies, short communication and innovative research studies, covering all aspects on theoretical and applied papers on all aspects of electrical engineering, computer engineering, and science. This title has been certified by the Ministry of Science, Research and Technology- Journals Commission as a scientific publication. This journal respects the ethical rules in publishing and is subject to the rules of the Ethics Committee" for Publication (COPE) and committed to follow the executive regulations of the Law on Prevention and Combating Fraud in Scientific  Works."


Original Research Paper Artificial Intelligence
1. A Transformer Self-attention Model for Time Series Forecasting

R. Mohammdi Farsani; E. Pazouki

Volume 9, Issue 1 , Winter and Spring 2021, Pages 1-10


  Background and Objectives: Many real-world problems are time series forecasting (TSF) problem. Therefore, providing more accurate and flexible forecasting methods have always been a matter of interest to researchers. An important issue in forecasting the time series is the predicated time interval. Methods: ...  Read More

Original Research Paper Target Detection
2. Target Detection Using Multispectral Images, A Case Study: Wheat Detection in Chenaran County in Iran

M. Imani

Volume 9, Issue 1 , Winter and Spring 2021, Pages 11-24


  Background and Objectives: Target detection is one of the main applications of remote sensing. Multispectral (MS) images with higher spatial resolution than hyperspectral images are an important source for shape and geometric characterization, and so, MS target detection is interested. Methods: A target ...  Read More

Original Research Paper IoT Security
3. Improving the Security of a Low-cost Tag Search Protocol

S. Saderi Oskuiee; F. Moazami; G. Oudi Ghadim

Volume 9, Issue 1 , Winter and Spring 2021, Pages 25-36


  Background and Objectives: Radio Frequency Identification (RFID) systems use radio frequency waves to exchange information between a legitimate sender and a receiver. One of the important features of RFID systems is to find and track a specific tag among a large number of tags. Numerous works have been ...  Read More

Original Research Paper Computer Vision
4. A Novel Method for Medical Image Segmentation based on Convolutional Neural Networks with SGD Optimization

M. Taheri; M. Rastgarpour; A. Koochari

Volume 9, Issue 1 , Winter and Spring 2021, Pages 37-46


  Background and Objectives: medical image Segmentation is a challenging task due to low contrast between Region of Interest and other textures, hair artifacts in dermoscopic medical images, illumination variations in images like Chest-Xray and various imaging acquisition conditions. Methods: In ...  Read More

Original Research Paper Video Processing
5. Deep Neural Network with Extracted Features for Social Group Detection

A. Akbari; H. Farsi; S. Mohamadzadeh

Volume 9, Issue 1 , Winter and Spring 2021, Pages 47-56


  Background and Objectives: Video processing is one of the essential concerns generally regarded over the last few years. Social group detection is one of the most necessary issues in crowd. For human-like robots, detecting groups and the relationship between members in groups are important. Moving in ...  Read More

Original Research Paper Fault Detection
6. Fault Detection in Thermoelectric Energy Harvesting of Human Body

H. Yektamoghadam; A. Nikoofard

Volume 9, Issue 1 , Winter and Spring 2021, Pages 57-66


  Background and Objective: Human health is an issue that always been a priority for scientists, doctors, medical engineers, and others. A Wireless Body Area Network (WBAN) connects independent nodes (e.g. sensors and actuators) that are situated in the clothes, on the body, or under the skin of a person. ...  Read More

Original Research Paper Computer Architecture
7. NodeFetch: High Performance Graph Processing using Processing in Memory

M. Mosayebi; M. Dehyadegari

Volume 9, Issue 1 , Winter and Spring 2021, Pages 67-74


  Background and Objectives: Graph processing is increasingly gaining attention during era of big data. However, graph processing applications are highly memory intensive due to nature of graphs. Processing-in-memory (PIM) is an old idea which revisited recently with the advent of technology specifically ...  Read More

Original Research Paper Artificial Intelligence
8. A New Routing Protocol in MANET using Cuckoo Optimization Algorithm

S. Tabatabaei; H. Nosrati Nahook

Volume 9, Issue 1 , Winter and Spring 2021, Pages 75-82


  Background and Objectives: With the recent progressions in wireless communication technology, powerful and costless wireless receivers are used in a variety of mobile applications. Mobile networks are a self-arranged network, which is including of mobile nodes that communicate with each other without ...  Read More

Original Research Paper Power
9. Optimal PSS Parameters Design Based on a Novel Objective Function for Small Signal Stability Enhancement

P. Naderi; B. Ehsan Maleki; H. Beiranvand

Volume 9, Issue 1 , Winter and Spring 2021, Pages 83-92


  Background and Objectives: In this paper, a novel objective function is proposed for designing the power system stabilizers (PSSs). Although the object of the previous designs was to enhance the critical modes' stability, the derived stability indices were, to some extent, low and in some cases not acceptable ...  Read More

Original Research Paper Image Processing
10. Fast and Efficient Hardware Implementation of 2D Gabor Filter for a Biologically-Inspired Visual Processing Algorithm

A. Mohammadi Anbaran; P. Torkzadeh; R. Ebrahimpour; N. Bagheri

Volume 9, Issue 1 , Winter and Spring 2021, Pages 93-102


  Background and Objectives: Programmable logic devices, such as Field Programmable Gate Arrays, are well-suited for implementing biologically-inspired visual processing algorithms and among those algorithms is HMAX model. This model mimics the feedforward path of object recognition in the visual cortex. ...  Read More

Original Research Paper Channel Allocation for Power Line Communications
11. Modelling and Optimization of Channel Allocation for Power Line Communications Access Networks in the Presence of In-Line and In-Space Interference

M. Sheikh Hosseini; S. M. Nosratabadi

Volume 9, Issue 1 , Winter and Spring 2021, Pages 103-114


  Background and Objectives: Broadband power line communications (PLC) is a promising candidate for implementing access network of different telecommunication Technologies. Planning process of the PLC access network is subdivided into two main optimization problems of the generalized base station placement ...  Read More

Original Research Paper Compress Sensing
12. Stochastic Block NIHT Algorithm for Adaptive Block-Sparse System Identification

Z. Habibi; H. Zayyani; M. Shams Esfandabadi

Volume 9, Issue 1 , Winter and Spring 2021, Pages 115-126


  Background and Objectives: Compressive sensing (CS) theory has been widely used in various fields, such as wireless communications. One of the main issues in the wireless communication field in recent years is how to identify block-sparse systems. We can follow this issue, by using CS theory and block-sparse ...  Read More

1. THD Analysis in Closed-Loop Analog PWM Class-D Amplifiers

P. Amiri; M. Kohestani; M. Seifouri

Volume 2, Issue 1 , Winter and Spring 2014, , Pages 1-5


  In this paper, we investigate the parameters affecting Total Harmonic Distortion (THD) and Power Supply Rejection Ratio (PSRR) in PWM Class D Amplifiers (CDAs) on the basis of linear models with feedback. From our mathematical analysis, we show that the THD of a PWM Class D amplifier with feedback can ...  Read More

2. A 12 bit 76MS/s SAR ADC with a Capacitor Merged Technique in 0.18µm CMOS Technology

S. Mahdavi

Volume 5, Issue 2 , Summer and Autumn 2017, , Pages 121-130


  A new high-resolution and high-speed fully differential Successive Approximation Register (SAR) Analog to Digital Converter (ADC) based on Capacitor Merged Technique is presented in this paper. The main purposes of the proposed idea are to achieve high-resolution and high-speed SAR ADC simultaneously ...  Read More

3. Alleviating the Small-Signal Oscillations of the SMIB Power System with the TLBO–FPSS and SSSC Robust Controller

H. Shayeghi; A. Ahmadpour; E. Mokaramian

Volume 5, Issue 2 , Summer and Autumn 2017, , Pages 163-170


  Power systems are subjected to small–signal oscillations that can be caused by sudden change in the value of large loads. To avoid the dangers of these oscillations, the Power System Stabilizers (PSSs) are used. When the PSSs can not be effective enough, installation of the Thyristor–based ...  Read More

4. A Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity

S.A. Hossain; A. Mallik; Md. A. Arefin

Volume 5, Issue 2 , Summer and Autumn 2017, , Pages 131-138


  An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial ...  Read More

5. Finite-Time Consensus Control of Euler-Lagrange Multi-agent Systems in the Presence of Stochastic Disturbances and Actuator Faults

M. Siavash; V. Majd; M. Tahmasebi

Volume 7, Issue 2 , Summer and Autumn 2019, , Pages 163-172


  Background and Objectives: This article discusses a finite-time fault-tolerant consensus control for stochastic Euler-Lagrange multi-agent systems. Methods: First, the finite-time consensus controller of Euler-Lagrange multi-agent systems with stochastic disturbances is presented. Then, the proposed ...  Read More

Original Research Paper Nonlinear System
1. Nonlinear Analysis of Colpitts Oscillator using on Differential Transform Method

A.R. Ghomi Taheri; F. Setoudeh; M. B. Tavakoli

Articles in Press, Accepted Manuscript, Available Online from 16 January 2021


  The Differential transform method (DTM) is used to analysis of ordinary, partial and high-order differential equations. Recently, the DTM is used to nonlinear analysis of physical nonlinear dynamic systems. In this paper, DTM is applied to analyze and find approximate and analytic solutions for the accurate ...  Read More

Original Research Paper Control
2. Fault Diagnosis of a Permanent Magnet Synchronous Generator Wind Turbine

S. Khodakaramzadeh; M. Ayati; M. R. Haeri Yazdi

Articles in Press, Accepted Manuscript, Available Online from 16 January 2021


  Background and Objectives: Designing a terminal sliding mode observer (TSMO) in order to estimate the potential faults in a wind turbine with a doubly fed induction generator (DFIG) has been studied in previous research works. In this paper, a method for fault detection of a permanent magnet synchronous ...  Read More

Keywords Cloud