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

http://dx.doi.org/10.22061/jecei.2020.6874.344

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7191.367

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 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

http://dx.doi.org/10.22061/jecei.2020.7219.371

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7295.379

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7247.377

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7031.353

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7230.373

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7240.375

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7250.376

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7212.370

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7190.366

Abstract
  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

http://dx.doi.org/10.22061/jecei.2020.7361.384

Abstract
  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