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

Journal Metrics

jecei.sru.ac.ir/journal/metrics

Publication start year

2013

h-index

7

  citations

228

  No. of Volumes

8

  No. of Issues

15

  No. of Published Articles

143

  Number of Contributors

324

  Article View

174,030

  PDF Download

121,346

  View Per Article

1216.99

PDF Download Per Article

848.57

Number of Submissions

392

  Rejected Papers

219

Accepted Articles

124

  Acceptance Rate

32%

  Average Acceptance Date (Days)

82

  No. of Indexing Databases

12

  No. of Reviewers

608

 

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 based on the license No. 3/18/311320 dated 6.12.1397.

                                                                                                                                             

Original Research Paper Optoelectronics and Photonics
1. Low Delay Time All Optical NAND, XNOR and OR Logic Gates Based on 2D Photonic Crystal Structure

F. Parandin; M. Malmir

Volume 8, Issue 1 , Winter and Spring 2020, Pages 1-8

Abstract
  Background and Objectives: Recently, photonic crystals have been considered as the basic structures for the realization of various optical devices for high speed optical communication. Methods: In this research, two dimensional photonic crystals are used for designing all optical logic gates. A photonic ...  Read More

Original Research Paper Electronics
2. A Novel Method Design Multiplexer Quaternary with CNTFET

S. Rahmati; E. Farshidi; J. Ganji

Volume 8, Issue 1 , Winter and Spring 2020, Pages 9-18

Abstract
  Background and Objectives: In recent decades, due to the effect of the short channel, the use of CMOS transistors in the nanoscale has become a major concern. One option to deal with this issue is the use of nano-transistors. Methods: Using nano-transistors and multi-valued logic (MVL) can reduce the ...  Read More

Original Research Paper Power Electronic
3. Utilization of CHB Multilevel Inverter for Harmonic Reduction in Fuzzy Logic Controlled Multiphase LIM Drives

P. Hamedani; A. Shoulaei

Volume 8, Issue 1 , Winter and Spring 2020, Pages 19-30

Abstract
  Background and Objectives: Despite superior privileges that multiphase motors offer in comparison with their three-phase counterparts, in the field of multiphase linear induction motors (LIMs) few studies have been reported until now. To combine the advantages of both multiphase motors and linear induction ...  Read More

Original Research Paper Artificial Intelligence
4. Stock Price Prediction using Machine Learning and Swarm Intelligence

I. Behravan; S. M. Razavi

Volume 8, Issue 1 , Winter and Spring 2020, Pages 31-40

Abstract
  Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, ...  Read More

Original Research Paper Data Mining
5. A High-Performance Model based on Ensembles for Twitter Sentiment Classification

R. Asgarnezhad; A. Monadjemi; M. SoltanAghaei

Volume 8, Issue 1 , Winter and Spring 2020, Pages 41-52

Abstract
  Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are ...  Read More

Original Research Paper Power
6. Designing a new robust control for virtual inertia control in the microgrid with regard to virtual damping

F. Amiri; M. Moradi

Volume 8, Issue 1 , Winter and Spring 2020, Pages 53-70

Abstract
  Background and Objectives: Virtual inertia control, as a component of a virtual synchronous generator, is used for the implementation of synchronous generator behaviour in microgrids. In microgrids that include high-capacity distributed generation resources, in addition to virtual inertia, virtual damping ...  Read More

Original Research Paper Digital Design
7. Ultra-Low-Energy DSP Processor Design for Many-Core Parallel Applications

B. Soltani Farani; H. Dorosti; M. E. Salehi; Si M. Fakhraie

Volume 8, Issue 1 , Winter and Spring 2020, Pages 71-84

Abstract
  Background and Objectives: Digital signal processors are widely used in energy constrained applications in which battery lifetime is a critical concern. Accordingly, designing ultra-low-energy processors is a major concern. In this work and in the first step, we propose a sub-threshold DSP processor. ...  Read More

Original Research Paper Power Amplifier
8. A 28-36 GHz Optimized CMOS Distributed Doherty Power Amplifier with A New Wideband Power Divider Structure

M. Mirzajani Darestani; M. Tavakoli; P. Amiri

Volume 8, Issue 1 , Winter and Spring 2020, Pages 85-96

Abstract
  Background and Objectives: In this paper, a new design strategy was proposed in order to enhance bandwidth and efficiency of power amplifier. Methods: To realize the introduced design strategy, a power amplifier was designed using TSMC CMOS 0.18um technology for operating in the Ka band, i.e. the frequency ...  Read More

Original Research Paper Artificial Intelligence
9. Link Prediction using Network Embedding based on Global Similarity

S. F. Mirmousavi; S. Kianian

Volume 8, Issue 1 , Winter and Spring 2020, Pages 97-108

Abstract
  Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are ...  Read More

Original Research Paper Hybrid EV chargers
10. Bidirectional Buck-Boost Integrated Converter for Plug-in Hybrid Electric Vehicles

H. Soltani Gohari; K. Abbaszadeh

Volume 8, Issue 1 , Winter and Spring 2020, Pages 109-124

Abstract
  Background and Objectives: Power electronics infrastructures play an important role in charging different types of electric vehicles (EVs) especially Plug-in Hybrid EVs (PHEVs). Designing appropriate power converters is the topic of various studies. Method: In this paper, a novel bidirectional buck-boost ...  Read More

Original Research Paper Computational Intelligence
11. A Preprocessing Technique to Investigate the Stability of Multi-Objective Heuristic Ensemble Classifiers

Z. K. Pourtaheri

Volume 8, Issue 1 , Winter and Spring 2020, Pages 125-134

Abstract
  Background and Objectives: According to the random nature of heuristic algorithms, stability analysis of heuristic ensemble classifiers has particular importance. Methods: The novelty of this paper is using a statistical method consists of Plackett-Burman design, and Taguchi for the first time to specify ...  Read More

Original Research Paper Computer Vision
12. Action Change Detection in Video Based on HOG

M. Fakhredanesh; S. Roostaie

Volume 8, Issue 1 , Winter and Spring 2020, Pages 135-144

Abstract
  Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition ...  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

Abstract
  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

Abstract
  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

Abstract
  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

Abstract
  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

Control
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

Abstract
  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
1. Depuration‎ based Efficient Coverage Mechanism for ‎Wireless Sensor Network

S. Ashraf; T. Ahmed; Z. Aslam; D. Muhammad; A. Yahya; M. Shuaeeb

Articles in Press, Accepted Manuscript, Available Online from 20 June 2020

Abstract
  The quick response time and the coverage range are the crucial ‎factors by which the quality service of a wireless sensor network ‎can be acknowledged. In some cases, even networks possess ‎sufficient available bandwidth but due to coverage tribulations, the ‎customer satisfaction gets ...  Read More

Original Research Paper Data Preprocessing
2. Quantitative Assessment of Transformation Based Satellite Image Pan-sharpening Algorithms

F. Tabib Mahmoudi; A. Karami

Articles in Press, Accepted Manuscript, Available Online from 20 June 2020

Abstract
  Background and Objectives: Pan-sharpening algorithms integrate the spectral capabilities of the multispectral imagery with the spatial details of the panchromatic one to obtain a product with confident spectral and spatial resolutions. Due to the large diversities in the utilized pan-sharpening algorithms, ...  Read More

Original Research Paper Data Mining
3. A novel hybrid genetic algorithm to predict students' academic performance

Y. Rohani; Z. Torabi; S. Kianian

Articles in Press, Accepted Manuscript, Available Online from 20 June 2020

Abstract
  Background and objectives: Prediction of students' academic performance is essential for systems emphasizing students' greater success. The results can largely lead to increase in the quality of the educating and learning. Through the application of data mining, useful and innovative patterns can be ...  Read More

Keywords Cloud