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    • Open Access Article

      1 - Software Evaluation of Reducing the Number of Switching States and Removing the Weight Factor in the Predictive Current Control of Six-Phase Induction Motor
      Peyman Mirzaeipour esmaeel rokrok Mohsen Saniei Syed Qudrat Allah seifosadat
      Issue 4 , Vol. 20 , Winter 2022
      The simple and accurate design of the flux weighting coefficient for the predictive current control (PCC) algorithm is an important issue that can be seen in all predictive controllers. It should be said that predictive current control is a promising method to obtain fa More
      The simple and accurate design of the flux weighting coefficient for the predictive current control (PCC) algorithm is an important issue that can be seen in all predictive controllers. It should be said that predictive current control is a promising method to obtain fast torque response with a simple and flexible structure, but its development to multi-phase drives can lead to dissatisfaction. In this article, due to the challenge of computing load of PCC algorithm, the weighting coefficient removal method is used and finally modified predictive current control (VV-PCC) without weighting coefficient is used for six-phase induction motor drive. Different operating conditions such as startup, sudden loading and different speeds have been investigated. As a result, choosing a switching state in PCC leads to high x-y currents, this problem requires a small number of repetitions with the proposed VV-PCC method based on removing the weighting factor, because the number of switching states has increased from 49 to 13, and finally It will reduce copper losses and improve power quality. The results and validation of the mentioned cases are presented using MATLAB software. Manuscript profile

    • Open Access Article

      2 - Fault Tolerant Control of DFIG Wind Turbine Back-to-Back Converter Based on Developed Sliding Mode Method
      mehrnoosh Kamarzarrin Mohammad Hossein Refan پرویز امیری
      Issue 4 , Vol. 20 , Winter 2022
      Fault detection and tolerable control of wind turbine increases its reliability and availability. One of the electrical components of the wind turbine with a high error rate is the power converter. In this paper, a new method for fault tolerant (FT) control of the wind More
      Fault detection and tolerable control of wind turbine increases its reliability and availability. One of the electrical components of the wind turbine with a high error rate is the power converter. In this paper, a new method for fault tolerant (FT) control of the wind turbine back-to-back converter based on Dual Feed Induction Generator (DFIG) is presented. When a open circuit fault occurs in each of the IGBTs of the wind turbine converter, the performance of the converter is distorted and part of the current signal of each leg of the converter is lost. The classical controller cannot completely correct this change in current behavior, and for this reason, it has an abnormal performance. As a result, power generation will be accompanied by many fluctuations. In order to compensate, a new method based on sliding mode control is presented in this article. First, when an error occurs, the fault detection system identifies the faulty leg, and after reconfiguring the hardware, the proposed control system based on sliding mode control replaces the classic control system and switching operation. The fault detection method presented in this article is based on artificial neural network and it was developed based on matching with the functional parameters of the wind turbine. The proposed FT method is evaluated using a hardware simulator in a laboratory loop with a 90 kW DFIG generator. The experimental results show the proper accuracy of the fault detection method and on the other hand, the proposed FT method was able to compensate the open circuit fault of the IGBT. Manuscript profile

    • Open Access Article

      3 - Design of a Secondary Controller Based on Distributed Cooperative Control of Distributed Generators (DGs) with Multi-Agent Systems Approach Considering DoS Cyber Attacks
      Abdollah Mirzabeigi Ali Kazemy Mehdi Ramezani Seyed Mohammad Azimi
      Issue 4 , Vol. 20 , Winter 2022
      Today, in many control methods, neighboring system information is used for better control and synchronization between different units, and therefore, in the access and transmission of information through communication links, problems such as disruption, uncertainty, noi More
      Today, in many control methods, neighboring system information is used for better control and synchronization between different units, and therefore, in the access and transmission of information through communication links, problems such as disruption, uncertainty, noise, delay, and cyber-attacks occur. In this paper, the effect of the Denial of Service (DoS) cyber-attack on the microgrid in island mode is investigated and a cooperative distributed hierarchical controller is designed with the presence of this cyber-attack. Distributed Generations (DGs) have been analyzed with the help of multi-agent systems and the communication network between them using graph theory. The effects of the DoS cyber-attack on the model of DGs are mathematically formulated and in proving the stability and synchronization of frequency and voltage, the suitable Lyapunov function is presented and the stability analysis of DGs against these cyber-attacks is performed and the stability and synchronization conditions of DGs are proved. To confirm the proposed theoretical issues, a case study model is simulated despite the DoS attack on the communicative links in Matlab Simulink, and the results show the performance of the designed controller in different conditions. Manuscript profile

    • Open Access Article

      4 - One Analytical Method Based on Winding Function Theory and Magnetic Equivalent Circuit Model for Electromagnetic Analysis of Induction Motors under Healthy Condition and Broken-Rotor Bar Fault
      Farhad Rezaee-Alam Abdolsamad Hamidi Vahid Naeini
      Issue 4 , Vol. 20 , Winter 2022
      In this paper, one hybrid analytical model (HAM) based on winding function theory (WFT) was presented for cage-rotor induction motors (CRIMs), which helps from the magnetic equivalent circuit (MEC) for considering the effect of slots and magnetic saturation in stator an More
      In this paper, one hybrid analytical model (HAM) based on winding function theory (WFT) was presented for cage-rotor induction motors (CRIMs), which helps from the magnetic equivalent circuit (MEC) for considering the effect of slots and magnetic saturation in stator and rotor cores. A non-linear MEC model is used to calculate the magneto motive force (MMF) drops in iron parts of stator and rotor for every operating point under the healthy condition and broken-rotor bar (BRB) fault. The distribution of MMF drop in stator and rotor is separately expressed in terms of the distribution of equivalent virtual currents and the virtual winding function. The inductances are then calculated using WFT while considering the effect of slots and magnetic saturation. To model the starting of no-load CRIM, the system of electrical and mechanical differential equations is solved using the finite difference method (FDM) under the healthy condition and BRB fault. Hague's solution and one simple conformal mapping (CM) are used to calculate and analysis of air-gap magnetic field. To verify the proposed model, some analytical results are compared with the corresponding results obtained through finite element method (FEM). Manuscript profile

    • Open Access Article

      5 - Performance Enhancement of Unfalsified Adaptive Control Using the Model Reference
      Mojtaba Nouri Manzar
      Issue 4 , Vol. 20 , Winter 2022
      Unfalsified adaptive control is a new approach in supervisory control that ensures the selection of a stabilizing controller from a control set based on the system input-output data. A prerequisite for ensuring stability is the existence of a pre-designed controller set More
      Unfalsified adaptive control is a new approach in supervisory control that ensures the selection of a stabilizing controller from a control set based on the system input-output data. A prerequisite for ensuring stability is the existence of a pre-designed controller set that contains a stabilizing controller. The supervisor selects the controller based on the cost function calculated with the system input-output data. In this method, the control system performance is restricted to the controllers of the control set. In this paper, the controller set update is performed by introducing the concept of performance falsification along with the stability falsification of the active controller. To falsify the performance of the controller set, the structure of the model reference is proposed to evaluate the performance of the control system. In case of performance falsification, a new controller is designed and added to the controller set based on system data and without using any model. To design the controller, a linear matrix inequality problem is solved. In this paper, no system model is used, and the presented method is completely model-free and data-oriented. The simulation results show the performance improvement of the proposed method compared to other methods in a standard robust adaptive benchmark system. Manuscript profile

    • Open Access Article

      6 - Proposing a New High-Gain Switched-Capacitor Pulsed-Power Converter Using Low Input Voltage Source
      sogand nikkhah Mohammad Rezanejad Reza khosravi
      Issue 4 , Vol. 20 , Winter 2022
      In this paper a new topology of pulsed-power converter to generate high-voltage pulses by low-input source is proposed. The proposed high step-up converter can generate high output voltage with few number of elements and stages. This converter which is based on switch-c More
      In this paper a new topology of pulsed-power converter to generate high-voltage pulses by low-input source is proposed. The proposed high step-up converter can generate high output voltage with few number of elements and stages. This converter which is based on switch-capacitor structure is self-balanced and can be used in portable pulsed power supply. To show the validity of the proposed converter operation, a prototype of the proposed topology in the laboratory was constructed. The results show proper operation of the converter. Manuscript profile

    • Open Access Article

      7 - Design, Simulation and Implementation of Compact and Wideband Microwave Filter Using Semi-Hexagonal Cavity by Substrate Integrated Waveguide (SIW) Technology
      m.h. n. Rasoul Rahmani
      Issue 4 , Vol. 20 , Winter 2022
      In this paper, a compact wideband microwave filter in X band using substrate integrated waveguide technology is designed, simulated and implemented. At first, the structure of hexagonal and semi-hexagonal microwave resonators is studied and their resonate modes, resonan More
      In this paper, a compact wideband microwave filter in X band using substrate integrated waveguide technology is designed, simulated and implemented. At first, the structure of hexagonal and semi-hexagonal microwave resonators is studied and their resonate modes, resonance frequencies and field distribution inside these resonators are investigated. Then, a second order Chebyshev filter is designed by coupling matrix of two semi-hexagonal cavities with center frequency of 10 GHz and fractional bandwidth of 20%. The first designed filter based on theoretical modeling is simulated by a full wave simulator and the geometrical parameters of the structure are adjusted for the required response. A prototype of the designed filter is implemented by TLY031 substrate and its characteristics are successfully measured. The results show that the measured results agree well with those obtained by simulation. The center frequency of the implemented filter is 8.7 GHz and it provides 27.3% bandwidth, with maximum insertion loss of 2.1 dB. Manuscript profile
    Most Viewed Articles

    • Open Access Article

      1 - Modeling and Reliability Evaluation of Magnetically Controlled Reactor based on the Markov Process Technique
      M. Haghshenas R. Hooshmand
      Issue 3 , Vol. 17 , Autumn 2019
      Controlled reactors as one of the flexible AC transmission systems play an important role in the availability and reliability of power systems.However, in the conventional reliability assessment of power systems, reactive power is considered only as a constraint for the More
      Controlled reactors as one of the flexible AC transmission systems play an important role in the availability and reliability of power systems.However, in the conventional reliability assessment of power systems, reactive power is considered only as a constraint for the network, and so far no precise model for assessing the reliability of reactors has been provided. In this paper, a new reliability model based on Markov process is proposed for a magnetically controlled reactor (MCR). In the modeling process, first the MCR structure is divided into two distinct parts, and then the extracted Markov models are combined based on frequency/duration technique.Since temperature changes play a significant role in changing the failure rate of electrical equipment, the effect of temperature changes in accordance with the MIL-217F standard has been considered in the proposed model and its impact on the probability of MCR operating modes has been evaluated. The simulation results have shown that in normal temperature conditions, the control system and at high temperatures, reactor windings can have the greatest impact on the availability of MCR. Comparison of reliability indices at different temperatures has shown that under different temperature conditions, different components will affect the availability of MCR. Therefore, in this condition, the measures needed to improve the reliability of the reactor can be different. This fact highlights the importance of considering the effect of operating temperature on reliability assessment as well as planning for preventive maintenance to improve the performance of reactive power sources. Manuscript profile

    • Open Access Article

      2 - Reactive Power Management in the Presence of Wind Turbine Considering Uncertainty of Load and Generation
      E.  Moharamy S. Esmaeili
      Issue 3 , Vol. 13 , Autumn 2015
      Reactive power management is very important in power systems for the secure transmission of active power, especially when a part of system generation is provided by stochastic sources like wind energy. This paper presents a new algorithm for reactive power management in More
      Reactive power management is very important in power systems for the secure transmission of active power, especially when a part of system generation is provided by stochastic sources like wind energy. This paper presents a new algorithm for reactive power management in the presence of wind generators and considering the stochastic nature of these sources and load simultaneously .In this regard, the proposed probabilistic algorithm, minimizes the overall cost function of the system considering the cost of each of the reactive power sources including wind generators. Besides economic issues, the voltage stability margin, having sufficient reactive power reserve in each area of voltage control and considering transmission congestion probability as technical aspects of the planning, have been investigated .Another advantage of this method compared to the previous one, is using of doubly-fed induction generator (DFIG) and its capability in providing reactive power considering the constraints of grid side and rotor side converters. The proposed optimization algorithm uses a multi objective function with different weighting coefficients. This algorithm is applied to minimize total reactive power, cost and losses and maximize voltage stability margin and reactive power reserve, simultaneously, meanwhile the probabilistic nature of wind and load forecasting inaccuracy is considered in this algorithm. The proposed method is implemented on the IEEE 30-bus test system and the simulation results demonstrate the effectiveness of proposed algorithm in real conditions for PMSMs against internal faults, especially inter-turn faults. Manuscript profile

    • Open Access Article

      3 - Modeling of K-250 Compressor Using NARX and Hierarchical Fuzzy Model
      Adel Khosravi Abbas  Chatraei G. Shahgholian Seyed-Mohamad Kargar
      Issue 3 , Vol. 18 , Autumn 2020
      Due to the increasing use of compressors in the industry, it is important to determine a mathematical model for the compressor to design a control system, analysis and simulation of the computer. Also, in recent years, smart modeling such as neural network and fuzzy net More
      Due to the increasing use of compressors in the industry, it is important to determine a mathematical model for the compressor to design a control system, analysis and simulation of the computer. Also, in recent years, smart modeling such as neural network and fuzzy network have been considered by researchers for their more realistic performance, and their types have been used for modeling. Smart methods have high capability to communicate between input and output data. In this paper, modeling of K-250 compressor at Isfahan smelter company based on smart models of fuzzy neural network is presented. The Nonlinear Auto Regressive With exogenous input (Narx) and hierarchical fuzzy network are presented. For modeling, the system has been tested and the input and output data of the compressor using compressor sensors and image processing are used to convert the data into the required data in the modeling, then the above algorithms of the compressor model will be achieved with the help of software, MATLAB. The results of modeling Which NARX performed better than hierarchical fuzzy. Among the two models presented in this paper, the NARX model shows a better response than the hierarchical fuzzy network in all cases and in all aspects of the performance criteria. Manuscript profile

    • Open Access Article

      4 - Design and Analysis of a Novel Robust and Fast Sliding-Mode Control with Multi-Slope Sliding Surface for Single-Phase Three Level NPC Inverters under Different Loads and Reduce the Output THD
      B. Khajeh-Shalaly G. Shahgholian
      Issue 2 , Vol. 15 , Summer 2017
      In this paper control structure with robust performance in presence of parametric uncertainties of the converter in order to improve pure sinusoidal inverter in whole functional and loading conditions is rendered. The controller guarantees fast and accurate behavior of More
      In this paper control structure with robust performance in presence of parametric uncertainties of the converter in order to improve pure sinusoidal inverter in whole functional and loading conditions is rendered. The controller guarantees fast and accurate behavior of the converter in order to increase the output voltage quality and reduce output harmonics. This controller by sliding performance and utilizing output voltage and capacitor current used in the control process, not only has exact output voltage tracking from reference but also has ability to reject the periodic disturbances due to loading. Also, it guides error states to zero rapidly and makes transient states of the converter as well as possible at error moments that is the same high spikes and loads in output current. Another characteristic of the proposed controller is, improved stability region under wide ranges of loading in different conditions. Accuracy of proposed controller on a single-phase three level NPC inverter which has high sensitivity in control in order to increase quality, decrease harmonics and THD output has been compared with a single-slope sliding mode controller with the sane loading conditions and reference. The simulations results are obtained by MATLAB. Manuscript profile

    • Open Access Article

      5 - Close Loop Identification for Combustion System by Recurrent Adaptive Neuro-Fuzzy Inference System and Network with Exogenous Inputs
      E. Aghadavoodi G. Shahgholian
      Issue 3 , Vol. 16 , Autumn 2018
      Boiler-turbine is a multi-variable and complicated system in steam power plants including combustion, temperature and drum water level. Selecting control loops as a unique loop in order to identify and control the boiler as a whole unit is a difficult and complicated ta More
      Boiler-turbine is a multi-variable and complicated system in steam power plants including combustion, temperature and drum water level. Selecting control loops as a unique loop in order to identify and control the boiler as a whole unit is a difficult and complicated task, because of nonlinear time variant dynamic characteristics of the boiler. It is necessary to identify each control group in order to accomplish a realistic and effective model, appropriate for designing an efficient controller. Both the effective and efficient performance of the identified model during the load change is of major importance. Here, not all parts of the system should be considered as a unit part, if determining and effective and realistic model is sought. The combustion loop of the 320 MW steam power plant of Islam Abad, Isfahan is the subject. Due to the sensitivity and complexity of the system, with respect to its nonlinear and closed loop characteristics, the identification of the system is conducted through intelligent procedures like recurrent adaptive neuro-fuzzy inference system (RANFIS) and nonlinear autoregressive model with exogenous input (NARX). The comparisons of the findings with actual data collected from the plant are presented and the accuracy of the procedures is determined. Manuscript profile

    • Open Access Article

      6 - Automatic Reference Image Selecting for Histogram Matching in Image Enhancement
      N. Samadiani H. Hassanpour
      Issue 2 , Vol. 13 , Summer 2015
      In this paper, a method is proposed to automatically select reference image in histogram matching. Histogram matching is one of the simplest spatial image enhancement methods which improves contrast of the initial image based on histogram of the reference image. In the More
      In this paper, a method is proposed to automatically select reference image in histogram matching. Histogram matching is one of the simplest spatial image enhancement methods which improves contrast of the initial image based on histogram of the reference image. In the conventional histogram matching methods, user should perform several experiments on various images to find a suitable reference image. This paper presents a new method to automatically select the reference image. In this method, images are converted from RGB to HSV, and the illumination (V) components are considered to select the reference image. The appropriate reference image is selected using a similarity measure via measuring the similarity between the histograms of the initial image and histograms of the images in the data base. Indeed, an image with similar histogram to the histogram of the original images is more appropriate to choose as the reference image for histogram matching. Results in this research indicate superiority of the proposed approach, compared to other existing approaches, in image enhancement via histogram matching. In addition, the user would have no concern in selecting an appropriate reference image for histogram matching in the proposed approach. This approach is applicable to both RGB and gray scale images. Manuscript profile

    • Open Access Article

      7 - Proposing a Density-Based Clustering Algorithm with Ability to Discover Multi-Density Clusters in Spatial Databases
      A. Zadedehbalaei A. Bagheri H.  Afshar
      Issue 3 , Vol. 15 , Autumn 2017
      Clustering is one of the important techniques for knowledge discovery in spatial databases. density-based clustering algorithms are one of the main clustering methods in data mining. DBSCAN which is the base of density-based clustering algorithms, besides its benefits s More
      Clustering is one of the important techniques for knowledge discovery in spatial databases. density-based clustering algorithms are one of the main clustering methods in data mining. DBSCAN which is the base of density-based clustering algorithms, besides its benefits suffers from some issues such as difficulty in determining appropriate values for input parameters and inability to detect clusters with different densities. In this paper, we introduce a new clustering algorithm which unlike DBSCAN algorithm, can detect clusters with different densities. This algorithm also detects nested clusters and clusters sticking together. The idea of the proposed algorithm is as follows. First, we detect the different densities of the dataset by using a technique and Eps parameter is computed for each density. Then DBSCAN algorithm is adapted with the computed parameters to apply on the dataset. The experimental results which are obtained by running the suggested algorithm on standard and synthetic datasets by using well-known clustering assessment criteria are compared to the results of DBSCAN algorithm and some of its variants including VDBSCAN, VMDBSCAN, LDBSCAN, DVBSCAN and MDDBSCAN. All these algorithms have been introduced to solve the problem of multi-density data sets. The results show that the suggested algorithm has higher accuracy and lower error rate in comparison to the other algorithms. Manuscript profile

    • Open Access Article

      8 - Design and Implementation of an IGBT Gate Driver with Necessary Protections and SMD Devices
      M. Fazeli S. A. Abrishamifar
      Issue 1 , Vol. 4 , Spring_Summer 2006
      The Gate drivers in modern power converters which use the power IGBT must be provide several main operations such as electrical isolation, current amplifying, and protection against overcurrent and overvoltage conditions. This paper describes such a new circuit which is More
      The Gate drivers in modern power converters which use the power IGBT must be provide several main operations such as electrical isolation, current amplifying, and protection against overcurrent and overvoltage conditions. This paper describes such a new circuit which is made using SMD devices suitable for driving the high and medium power IGBTs. This driver includes an isolated switching power supply, buffer circuits, and several protection circuits. It can operate by an input signal at TTL level and %50 duty cycle and is able to work up to 6A peak current. Manuscript profile

    • Open Access Article

      9 - Optimal Bidding in Electricity Market Using Game Theory
      N. Baei M. Parsa-Moghaddam
      Issue 3 , Vol. 6 , Autumn 2008
      This paper, presents a new approach for bidding strategy in spot electricity markets. A two-level optimization method is used for profit maximization of non-cooperative firms, while taking into account overall system constrains. In this approach, the market equilibrium More
      This paper, presents a new approach for bidding strategy in spot electricity markets. A two-level optimization method is used for profit maximization of non-cooperative firms, while taking into account overall system constrains. In this approach, the market equilibrium points are determined as Nash Equilibria. In order to capture the behavior of all market participants and therefore, a much more competitive environment both the suppliers and consumers are considered as the players of the market. To avoid local maxima solutions, Genetic Algorithm based optimization is incorporated. The proposed method has been applied to IEEE 9 bus system with satisfactory results. Manuscript profile

    • Open Access Article

      10 - Weighted Multi-Level Fuzzy Min-Max Neural Network
      R. Davtalab M. A. Balafar M. R. Feizi-Derakhshi
      Issue 3 , Vol. 14 , Autumn 2016
      In this paper a weighted Fuzzy min-max classifier (WL-FMM) which is a type of fuzzy min-max neural network is described. This method is a quick supervised learning tool which capable to learn online and single pass through data. WL-FMM uses smaller size with higher weig More
      In this paper a weighted Fuzzy min-max classifier (WL-FMM) which is a type of fuzzy min-max neural network is described. This method is a quick supervised learning tool which capable to learn online and single pass through data. WL-FMM uses smaller size with higher weight to manipulate overlapped area. According to experimental results, proposed method has less time and space complexity rather than other FMM classifiers, and also user manual parameters has less effect on the results of proposed method. Manuscript profile
    Upcoming Articles

    • Open Access Article

      1 - Priority-Based Task Scheduling Using Fuzzy System in Mobile Edge Computing
      Entesar Hosseini Mohsen Nickray SH. GH.
      Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are i More
      Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are important issue in MEC. In this paper, we use a standard three-level system model of mobile devices, edge and cloud, and propose two offloading and scheduling algorithms. A decision-making algorithm for offloading tasks is based on the greedy Knapsack offloading algorithm (GKOA) on the mobile device side, which selects tasks with high power consumption for offloading and it saves energy consumption of the device. On the MEC side, we also present a dynamic scheduling algorithm with fuzzy-based priority task scheduling (FPTS) for prioritizing and scheduling tasks based on two criteria. Numerical results show that our proposed work compared to other methods and reduces the waiting time, latency and system overhead. Also, provides the balance of the system with the least number of resources. And the proposed system reduces battery consumption in the smart device by up to 90%. The results show that more than 92% of tasks are executed successfully in the edge environment. Manuscript profile

    • Open Access Article

      2 - High Level Synthesis of Decimal Arithmetic on Coarse Grain Reconfigurable Architectures
      Samaneh Emami
      The increasing capabilities of integrated circuits and the complexity of applications have led hardware design methods and tools to higher levels of abstraction and high-level synthesis is one of the key steps in increasing the level of abstraction. In recent years, ext More
      The increasing capabilities of integrated circuits and the complexity of applications have led hardware design methods and tools to higher levels of abstraction and high-level synthesis is one of the key steps in increasing the level of abstraction. In recent years, extensive research has been conducted on the design of decimal arithmetic reconfigurable architectures. Since, on the one hand, the effective use of these architectures depends on the existence of appropriate algorithms and tools to implement the design on the hardware, and on the other hand, research on the development of these algorithms has been very limited, this paper will present methods for the automated synthesis of decimal arithmetic circuits on a coarse-grained reconfigurable architecture. The platform chosen to execute the proposed algorithms is the DARA coarse-grained reconfigurable architecture, which is optimized for decimal arithmetic. The algorithms proposed for resource allocation of synthesis include a heuristic method and an ILP algorithm. The results show that, as expected, for the limited architectural dimensions used, the ILP algorithm performs significantly (about 30%) better than the heuristic algorithm. Manuscript profile
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    Iranian Research Institute for Electrical Engineering
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    Editor-in-Chief
    Executive Manager
    سميه عبادي (پژوهشكده برق جهاد دانشگاهي)
    Editorial Board
    M. Ehsan (Sharif University of Technology) R. Jalili (Sharif University of Technology) A. Khaki Sedigh M. H. Savoji (Shahid Beheshti University) H. Seifi (Tarbiat Modares University) M. Shafiee (Amirkabir University of Technology) M. R. Aref (Sharif University of Technology) M. Fathi M. K. Moravvej Farshi (Tarbiat Modares University) Hamid Reza Sadegh Mohammadi (ACECR)
    Print ISSN: 16823745
    Online ISSN:16823745
    Email
    ijece@acecr.ac.ir
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    Iranian Research Institute for Electrical Engineering, No. 190, Malekloo St., Haidarkhani St., Farjam Ave., Narmak, Tehran, Iran
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    77896688

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    Last Update 2/5/2023