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

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

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

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 145-160

  Background and Objectives: 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 ...  Read More

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

F. Tabib Mahmoudi; A. Karami

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 161-168

  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 Cloud Computing
3. An Energy Efficient Fault Tolerance Technique Based on Load Balancing Algorithm for High-Performance Computing in Cloud Computing

H. Jahanpour; H. Barati; A. Mehranzadeh

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 169-182

  Background and Objectives: Cloud Computing has brought a new dimension to the IT world. The technology of cloud computing allows employing a large number of Virtual Machines to run intensive applications. Each failure in running applications fails system operations. To solve the problem, it is required ...  Read More

Original Research Paper Data Mining
4. NSE-PSO: Toward an Effective Model Using Optimization Algorithm and Sampling Methods for Text Classification

R. Asgarnezhad; A. Monadjemi; M. SoltanAghaei

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 183-192

  Background and Objectives: With the extensive web applications, review sentiment classification has attracted increasing interest among text mining works. Traditional approaches did not indicate multiple relationships connecting words while emphasizing the preprocessing phase and data reduction techniques, ...  Read More

Original Research Paper Classification
5. Parallel and Exact Method for Solving n-Similarity Problem

M. Mirhosseini; M. Fazlali

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 193-200

  Background and Objectives: -similarity problem defined as measuring the similarity among  objects and finding a group of  objects from a dataset that have the most similarity to each other. This problem has been become an important issue in information retrieval and data mining. Theory of this ...  Read More

Original Research Paper Power
6. Coordinated Model Predictive DC-Link Voltage, Current, and Electromagnetic Torque Control of Wind Turbine with DFIG under Grid Faults

Z. Dehghani Arani; S. A. Taher; M. H. Karimi; M. Rahimi

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 201-218

  Background and Objectives: The wind turbines (WTs) with doubly fed induction generator (DFIG) have active and reactive power as well as electromagnetic torque oscillations, rotor over-current and DC-link over-voltage problems under grid faults. Solutions for these problems presented in articles can be ...  Read More

Original Research Paper Data Mining
7. A Novel Hybrid Genetic Algorithm to Predict Students' Academic Performance

Y. Rohani; Z. Torabi; S. Kianian

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 219-232

  Background: 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 extracted from ...  Read More

Original Research Paper Energy Hub
8. An Efficient Configuration for Energy Hub to Peak Reduction Considering Demand Response Using Metaheuristic Automatic Data Clustering

H. Hosseinnejad; S. Galvani; P. Alemi

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 233-254

  Background and Objectives: Different energy demand calls the need for utilizing Energy Hub Systems (EHS), but the economic dispatch issue has become complicated due to uncertainty in demand. So, scenario generation and reduction techniques are used to considering the uncertainty of the EH demand. Dependent ...  Read More

Original Research Paper
9. Design of a Microstrip Dual-Band Bandpass Filter Using Novel Loaded Asymmetric Two Coupled Lines for WLAN Applications

R. Salmani; A. Bijari; S. H. Zahiri

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 255-262

  Background and Objectives: Due to the rapid development in wireless communications, bandpass filters have become key components in modern communication systems. Among the microwave filter technologies, planar structures of microstrip line are chosen, due to low profile, weight, ease of fabrication, and ...  Read More

Original Research Paper Artificial Intelligence
10. Using Machine Learning Methods for Automatic Bug Assignment to Developers

M. Yousefi; R. Akbari; S. M. R. Moosavi

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 263-272

  Background and Objectives: It is generally accepted that the highest cost in software development is associated with the software maintenance phase. In corrective maintenance, the main task is correcting the bugs found by the users. These bugs are submitted by the users to a Bug Tracking System (BTS). ...  Read More

Original Research Paper Artificial Intelligence
11. A New Clustering Algorithm for Attributive Graphs through Information Diffusion Approaches

S. Kianian; S. Farzi; H. Samak

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 273-284

  Background and Objectives: Simplicity and flexibility constitute the two basic features for graph models which has made them functional models for real life problems. The attributive graphs are too popular among researchers because of their efficiency and functionality. An attributive graph is a graph ...  Read More

Original Research Paper Sliding Mode Control
12. Real-time Implementation of Sliding Mode Control for Cascaded Doubly Fed Induction Generator in both Islanded and Grid Connected Modes

H. Zahedi; G. Arab Markadeh; S. Taghipour

Volume 8, Issue 2 , Summer and Autumn 2020, Pages 285-296

  Background and Objectives: Cascaded doubly fed induction generators (CDFIGs) can directly connected to isolated load or power grid without any brushes which are needed in conventional DFIGs. Output control targets before grid connection of CDFIGs are voltage and frequency control and after that are active ...  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 Artificial Intelligence
1. A Transformer Self-attention Model for Time Series Forecasting

R. Mohammdi Farsani; E. Pazouki

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

  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

Keywords Cloud