M. DJERIOU Salim

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Electronics Electrical engineering Power electronics Electrical machines renewable energy Photo voltaic Wind energy

Contact Info

University of M'Sila, Algeria

Email : salim.djeriou@univ-msila.dz

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Recent Publications

2024-12-26

ROBUST SLIDING MODE CONTROL OF MECHANICAL POWER PRODUCED BY AN INDUCTION MOTOR (IM)

Induction motors (IM) have been used for speed variation for a very long
time, but this type of machine, combined with complex controls, is now
starting to become widespread on the market, due to their robustness
and low manufacturing costs, and also to the availability of static
converters with very high switching frequencies.
Citation

M. DJERIOU Salim, (2024-12-26), "ROBUST SLIDING MODE CONTROL OF MECHANICAL POWER PRODUCED BY AN INDUCTION MOTOR (IM)", [international] 9th ANKARA INTERNATIONAL CONGRESS ON SCIENTIFIC RESEARCH , Ankara/turky

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2024-12-19

Analysis of three-phase networks in disturbed operating conditions using symmetrical components

The calculation of the currents and voltages in electrical networks effect to the analysis of electrical phenomena, the sizing and setting of protection devices. the course is to set out the calculating all parameters in case of disturbance of three phase system using per unit and the symmetrical components method, followed by many recitations with different labs. The course intended for engineers and license in the fields of electrical networks, protection devices, renewable energy, monitoring and control.
Citation

M. DJERIOU Salim, (2024-12-19), "Analysis of three-phase networks in disturbed operating conditions using symmetrical components", [national] MOHAMED BOUDIAF UNIVERSITY OF M'SILA

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2024-12-10

A robust control strategy for a photovoltaic water pumping system Using direct torque control for six-phase induction motor

IN THIS WORK
Citation

M. DJERIOU Salim, (2024-12-10), "A robust control strategy for a photovoltaic water pumping system Using direct torque control for six-phase induction motor", [international] The international Asian congress on contemporary sciences-X , Dubai/ United Arabe Emirates

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2024-12-06

A new Maximum Power Extraction (MPPT) technique applied to a wind turbine

In this paper we present the modelling of the wind turbine and develop a new Maximum Power Extraction (MPPT) technique applied to our turbine to maximise the power collector at low wind speeds. The simulations have been carried out using Matlab/Simulink software. The results of the numerical simulations demonstrate the effectiveness of the new MPPT controller in achieving these objectives. The simulation results show that the variation of the mechanical speed is adapted to that of the wind. It can also be seen that the specific speed follows the imposed optimum reference and the power coefficient follows the desired maximum power coefficient. These results demonstrate the effectiveness of the implemented control.
Citation

M. DJERIOU Salim, (2024-12-06), "A new Maximum Power Extraction (MPPT) technique applied to a wind turbine", [international] The international world energy conference-IV , Kayseri/Turkey.

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2024-10-01

Indirect rotor field-oriented control for dual stator induction motor used in solar water pumping system

The increasing demand for irrigation in rural areas has driven advancements in photovoltaic water pumping systems (PVWPS). These systems offer a clean and sustainable alternative to traditional methods that rely on fossil fuels. Capitalizing on the remarkable progress in this field, and the valuable advantages of multi-phase induction motors, this study explores a control strategy of a dual-stator induction motor (DSIM) used in a standalone solar pumping system. This control aims to optimize the motor speed in variant irradiance conditions to improve water pumping system performance, This PVWPS control strategy mainly consists two stages: first, the maximum power from the (PV) array is tracked with a conventional P&O algorithm in the DC-DC boost converter. In the second stage, in this paper a comparative study of two methods to implementing IFOC. The principal action for both methods is study and simulated. The first method uses a three PI controller one for the speed and the others for the current, the second method replace the current controllers with the mathematical modelling of the controlling technique. Simulation results support the effectiveness and practicality of the suggested approach.
Citation

M. DJERIOU Salim, (2024-10-01), "Indirect rotor field-oriented control for dual stator induction motor used in solar water pumping system", [international] 1st International conference on Green Hydrogen, Artificial intelligent, renewable energies and electrical engineering systems (GHARES 2024) , Université de Ghardaïa, Algeria

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2024-07-07

HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR

This paper focuses on developing two innovative induction motor (IM) control techniques. These techniques are based on the hybridization of Lyapunov theory (sliding mode) and artificial intelligence (type 1 and type 2 fuzzy logic). We will then compare these two control techniques to determine which is more robust. This comparative analysis will be based on a series of tests that we have carried out, covering the system's transient and steady-state operations under identical conditions. The first test involves observing the simulation results obtained by applying these control techniques to the motor to control the generated mechanical power. This qualitative comparison enables these controls to be evaluated for and without the application of external variations. The second test quantifies the different control laws based on quantified measurements, highlighting the performance of each technique in terms of error and time. This test is called a quantitative comparison. Finally, the last examination involves altering the machine parameters, as these values naturally experience fluctuations caused by diverse physical phenomena like inductance saturation and heating of the resistors. This comparison enables the robustness of the control techniques to be assessed.
Citation

M. DJERIOU Salim, (2024-07-07), "HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR", [national] Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique , Revue Roumaine des Sciences Techniques

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HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR

This paper focuses on developing two innovative induction motor (IM) control techniques. These techniques are based on the hybridization of Lyapunov theory (sliding mode) and artificial intelligence (type 1 and type 2 fuzzy logic). We will then compare these two control techniques to determine which is more robust. This comparative analysis will be based on a series of tests that we have carried out, covering the system's transient and steady-state operations under identical conditions. The first test involves observing the simulation results obtained by applying these control techniques to the motor to control the generated mechanical power. This qualitative comparison enables these controls to be evaluated for and without the application of external variations. The second test quantifies the different control laws based on quantified measurements, highlighting the performance of each technique in terms of error and time. This test is called a quantitative comparison. Finally, the last examination involves altering the machine parameters, as these values naturally experience fluctuations caused by diverse physical phenomena like inductance saturation and heating of the resistors. This comparison enables the robustness of the control techniques to be assessed.
Citation

M. DJERIOU Salim, (2024-07-07), "HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR", [national] REVUE ROUMAINE DES SCIENCES TECHNIQUES—SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE , EA

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2024-04-01

A new robust controller based on type-2 fuzzy logic Regulator for permanent magnet synchronous motor (PMSM)

In this work, we are going to develop new control technique based on the orientation of the stator flux with type 2 fuzzy control controllers, to apply to the permanent magnet synchronous motor (PMSM) to solve the parametric variation problems to obtain robust performance in the parametric or external variation point, this motor driven by the stator variables through two converters the main function of these converters in the system under consideration is to connect our permanent magnet synchronous motor to the electrical network in two different ways: one on the network-side converter, which will enable continuous bus control and improve the network-side power factor; the other, on the motor-side converter, which will enable control and optimisation of the energy flow generated by the permanent magnet synchronous motor during periods of motor operation. In the first part we have modelled the motor and its converters. In the second part, we have developed the necessary command to control the mechanical power (speed, torque) produced by this motor in order to ensure optimum yield and production quality. The numerical simulation results obtained during the application of the type 2 fuzzy Logic control on our machine show the effectiveness of this implemented control.
Citation

M. DJERIOU Salim, (2024-04-01), "A new robust controller based on type-2 fuzzy logic Regulator for permanent magnet synchronous motor (PMSM)", [international] V. International Istanbul current scientific research congress , Istanbul, Turkey

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2024-02-02

TESTING AND DIAGNOSTIC OUT OF THE SERVICE POWER TRANSFORMER USING A SWEEP FREQUENCY RESPONSE ANALYSIS (SFRA) COMPARING WITH CHINA STANDARD

A several diagnostic methods used to evaluate and detect any potential issues or faults in the transformer before they cause significant problems. The research proposal focuses on employing the SFRA (Sweep Frequency Response Analysis) technique, renowned for its exceptional sensitivity and diagnostic capabilities.
This method serves to identify the mechanical integrity of the transformer's core, winding distortion, and clamping structures by analyzing their electrical transfer functions across a broad frequency spectrum. By utilizing SFRA, the study aims to accurately predict the internal physical condition of the transformer, making
it a highly effective and reliable indicator for assessing its overall health. The motivation of this present work is using all experiments of SFRA were conducted and validated on a three-phase 30kV/0.4KV voltage transformer with 50kVA at the laboratory of Msila university. The result of these experiments is presented and
discussed in terms of interpretation the analyses based on different standards
Citation

M. DJERIOU Salim, (2024-02-02), "TESTING AND DIAGNOSTIC OUT OF THE SERVICE POWER TRANSFORMER USING A SWEEP FREQUENCY RESPONSE ANALYSIS (SFRA) COMPARING WITH CHINA STANDARD", [national] DIAGNOSTYKA , salim djeriou

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2023-12-25

Optimization of a PID Regulator by the PSO “Particle Swarm Optimization” Technique

In this work, we are going to develop two control techniques based on the orientation of the stator flux with different controllers, namely: type 1 fuzzy control, type 1 adaptive fuzzy control to apply to the permanent magnet synchronous machine to solve the parametric variation problems to obtain robust performance in the parametric or external variation point, this machine driven by the stator variables through two converters. In the first part we have modelled the machine and its converters.
Citation

M. DJERIOU Salim, (2023-12-25), "Optimization of a PID Regulator by the PSO “Particle Swarm Optimization” Technique", [international] 3rd International Conference on Scientific and Academic Research , Ankara, Turkey

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2023-11-24

TYPE-1 ADAPTIVE FUZZY LOGIC CONTROL OF A PERMANENT MAGNET SYNCHRONOUS MACHINE (PMSM)

In this work, we are going to develop two control techniques based on the orientation of the
stator flux with different controllers, namely: type 1 fuzzy control, type 1 adaptive fuzzy control to apply
to the permanent magnet synchronous machine to solve the parametric variation problems to obtain
robust performance in the parametric or external variation point, this machine driven by the stator
variables through two converters. In the first part we have modelled the machine and its converters. In the
second part, we have developed the necessary commands to control the mechanical power (speed, torque)
produced by this machine, we have carried out a comparative study between the two control systems
developed. The numerical simulation results obtained during the application of the type 1 adaptive fuzzy
control on our machine show the effectiveness of this implemented control.
Citation

M. DJERIOU Salim, (2023-11-24), "TYPE-1 ADAPTIVE FUZZY LOGIC CONTROL OF A PERMANENT MAGNET SYNCHRONOUS MACHINE (PMSM)", [international] 8th INTERNATIONAL EDUCATION AND INNOVATIVE SCIENCES CONGRESS , Ankara/turky

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2023-11-05

Exploitation And Investment The Potable Water Distribution For Hydropower Storage Energy And Water

In this work we propose to applies the hydropower system from drinking water distribution creates a closed loop system uses as a storage energy and water at the moment of blackout.
Citation

M. DJERIOU Salim, (2023-11-05), "Exploitation And Investment The Potable Water Distribution For Hydropower Storage Energy And Water", [international] World Energy Storage Conference (WESC-2023), , University of Pittsburgh at Bradford, PA, USA

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EXPLOITATION AND INVESTMENT THE POTABLE WATER DISTRIBUTION FOR HYDROPOWER STORAGE ENERGY AND WATER

In this work we propose to applies the hydropower system from drinking water distribution creates a closed loop system uses as a storage energy and water at the moment of blackout.
Citation

M. DJERIOU Salim, (2023-11-05), "EXPLOITATION AND INVESTMENT THE POTABLE WATER DISTRIBUTION FOR HYDROPOWER STORAGE ENERGY AND WATER", [international] The World Energy Storage Conference , University of Pittsburgh, Bradford, PA, USA

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2022

Fuzzy Direct Field Oriented Control of a Double Stator Induction Motor (DSIM) with an MRAS Observer Dedicated to Photovoltaic Pumping System

This paper presents the Direct Field Oriented Control (DFOC) scheme based on fuzzy logic speed controller without mechanical sensor
(MRAS Observer) for a Double Stator Induction Motor fed by a two Pulse Width Modulation (PWM) voltage source inverters, by means of a
photovoltaic solar panel using a maximum power point tracking (MPPT) control, dedicated to solar water pumping system (SWPS). So far several
types of motors are used for solar water pumping systems and to the authors best knowledge; this is the first attempt to apply DSIM with this
proposed control method to such a system. The simulation results show that the direct field oriented control with fuzzy controller and MRAS
observer, provides good dynamic performances and presents a great robustness and efficiency
Citation

M. DJERIOU Salim, (2022), "Fuzzy Direct Field Oriented Control of a Double Stator Induction Motor (DSIM) with an MRAS Observer Dedicated to Photovoltaic Pumping System", [national] PRZEGLĄD ELEKTROTECHNICZNY , PRZEGLĄD ELEKTROTECHNICZNY

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Design and optimize in stand-alone of photovoltaic fuel pumping systems

Design and optimize in stand-alone of photovoltaic fuel pumping systems
Citation

M. DJERIOU Salim, (2022), "Design and optimize in stand-alone of photovoltaic fuel pumping systems", [international] ICAENS 2022 CONFERENCE CHAIRMAN , Konya/Turkey.

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2018

Performance Improvement of Photovoltaic Pumping System

This thesis presents two architectures of solar water pumping system with maximum overall operating efficiency. In the first scheme, a new technique based on Golden-Section-Search (GSS) optimization method is used. Compared to conventional MPPT tracking method such as Perturb and Observe (P&O), GSS technique offers two advantages namely: quick response and perturbation free. The maximum power transfer from the photovoltaic panel to the centrifugal pump is ensured by optimal selection of induction motor’s operating speed. This technique demonstrates the effectiveness of the proposed architecture. Regarding the second scheme, a tentative to employ a Dual Star Induction motor (DSIM) instead of the conventional induction motor is investigated. The conventional Perturb and Observe (P&O) algorithm is adopted to track the maximum power from the PV generator while optimum rotor speed selection is adopted in order to ensure maximum power transfer to the pump. To achieve this goal the indirect rotor field oriented control scheme is to facilitate this transfer by improving the decoupling performances. Besides, a fuzzy logic- based PI controller instead of the conventional PI speed controller is used for speed control. This controller is known to be more robust than the conventional one in terms of system uncertainties. Matlab/Simulink package is used to simulate and predict the performances of the two proposed SWPS architecture under different climate conditions.
Citation

M. DJERIOU Salim, (2018), "Performance Improvement of Photovoltaic Pumping System", [national]

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2017

A GSO-based maximum power point tracking algorithm for photovoltaic systems

The paper presents a new MPPT method based on
Golden-Section Optimization (GSO) technique for photovoltaic
systems. The GSO-based MPPT converges to the MPP by interval
shrinking. Initially, two points have been selected from the search
space that is known, evaluated then a new point is accordingly
generated. At given iteration the algorithm has a new narrowed
interval bounded by the new point and one of the initial points
according to the evaluation results. The algorithm stops iterating
when the interval is small enough and the PV is forced to operate
at the average value of the last found interval without perturbing
either the voltage or the duty cycle. This makes the PV system
converges rapidly to the MPP and without voltage or power
oscillations around the maximum power point (MPP), thereby low
energy waste. Results show that, the proposed MPPT algorithm
uses a few arithmetic operations and tracks rapidly and
accurately the MPP of PV systems under fast changing conditions
and partial shading.
Citation

M. DJERIOU Salim, Aissa Kheldoun, , (2017), "A GSO-based maximum power point tracking algorithm for photovoltaic systems", [international] The 5th International Conference on Electrical Engineering , Boumerdes (ICEE-B) , Algeria.

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Efficiency Improvement in Induction Motor-Driven Solar Water Pumping System Using Golden Section Search Algorithm

The paper applies a maximum power point tracking (MPPT) technique for stand-alone photovoltaic water pumping system to improve the overall operating efficiency. This technique is based on golden section search (GSS) optimization method. To the authors’ best knowledge, this is the first attempt to apply it to such a problem. Compared to MPPT tracking method such as perturb and observe (P&O), GSS technique offers two advantages, namely fastness and perturbation-free which both affect the overall and instantaneous efficiency of the solar water pumping system. The maximum power transfer from the photovoltaic panel to the centrifugal pump is ensured by optimal selection of induction motor’s operating speed. This allows improving the global efficiency of the water pumping system that is maximum water flow rate with respect to the solar intensity. Modeling of solar water pumping system is presented then simulated using MATLAB/Simulink under variable irradiance to demonstrate the effectiveness of the proposed architecture. Results show that GSS-based MPPT offers better dynamic efficiency without altering much the easiness and simplicity of the implementation compared to the conventional P&O.
Citation

M. DJERIOU Salim, (2017), "Efficiency Improvement in Induction Motor-Driven Solar Water Pumping System Using Golden Section Search Algorithm", [national] Arabian Journal for Science and Engineering , Adel Mellit

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2016

A fuzzy sliding mode robust control for a field oriented dual star induction machine fed by photovoltaic power supply with MPPT algorithm

This paper presents a robust control based on fuzzy logic and sliding mode for the speed regulation of a Dual Star Induction Machine (DSIM), supplied by two PWM voltage source inverter (VSI) by means of Photovoltaic Generator using a maximum power point tracking (MPPT) control, and decoupled by Field Oriented Control (FOC). However, the principal drawback of sliding mode is the Chattering effect which characterized by torque ripple, this phenomena is undesirable and harmful for the machines, it generates noises and additional forces of torsion on the machine shaft. In order to reduce the Chattering effect, the Sign function of sliding mode controller discontinuous part is replaced by a fuzzy logic function; we will have the fuzzy sliding mode controller (FSMC). The simulation results show that the proposed method is insensitive to parameter variations (rotor resistance, inertia) and load disturbances; it has very interesting dynamic performances (fast response without overtaking and fast speed inversion time). The FSMC makes it possible to combine the performances of the two types of controllers (SMC and FLC) and eliminates the Chattering effect.
Citation

M. DJERIOU Salim, Radhwane Sadouni, , (2016), "A fuzzy sliding mode robust control for a field oriented dual star induction machine fed by photovoltaic power supply with MPPT algorithm", [national] Mediterranean Journal of Measurement and Control , Radhwane Sadouni

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2015

Field Oriented Control of a Dual Star Induction Machine Fed by Photovoltaic Solar Panel with MPPT

This paper presents a maximum power point tracking (MPPT) applied to Dual Star Induction Machine supplied by photovoltaic solar panel. The indirect field oriented control with PI speed controller is used for the control of this machine fed by two PWM voltage source inverter. The simulation results using Matlab/Simulink environment prove the efficiency of the proposed method.
Citation

M. DJERIOU Salim, Radhwane Sadouni, , (2015), "Field Oriented Control of a Dual Star Induction Machine Fed by Photovoltaic Solar Panel with MPPT", [international] 2ème conférence Internationale des énergies renouvelables CIER , Tunisie

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A Simple and Accurate Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Many techniques have been proposed to seek the solar photovoltaic
system’s maximum power point from which one can list the following algorithms
Perturb and Observe (P&O) algorithm, the Incremental Conductance (IC) algorithm,
among others. Every technique has its relative merits and limitations essentially
in terms of stability and ease of implementation. This chapter presents a new
algorithm for Maximum Power Point Tracking in PVS. The algorithm uses the
Golden Section method to search for the point at which the derivative of the input
power versus voltage is zero. The power versus voltage characteristics of the
photovoltaic system is a unimodal function making the Golden Section Search
technique very suitable. The process of searching uses a variable step to shrink the
search space, hence helping to reach the optimum point of the function, the
maximum power point, within a small number of iterations. The basic advantage
of this search technique is the reduction of tracking convergence time, in comparison
with classical techniques with slow convergence time that can lead to instability.
The proposed Golden Section Search technique algorithm converges rapidly
therefore reducing the number of oscillations due to perturbations and preserving
system stability. Matlab/Simulink is used to simulate the Golden search
based MPPT.
Citation

M. DJERIOU Salim, Aissa Kheldoun,, , (2015), "A Simple and Accurate Maximum Power Point Tracking Algorithm for Photovoltaic Systems", [national] Progress in Clean Energy , Springer International Publishing

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Fuzzy indirect field oriented control of a Dual Star Induction motor water pumping system fed by photovoltaic generator

The paper proposes a new architecture of solar water pumping system (SWPS) using a Dual Star Induction motor (DSIM). So far several
types of motors are used for SWPSs and to the author best knowledge; this is the first attempt to apply DSIM with optimum speed
control to such a system. The PV output maximum power is tracked using the conventional Perturb and Observe (P&O) algorithm.
This output power is modulated through the use of two PWM inverters to match the speed control of the DSIM. The latter is driving
centrifugal pump whose speed needs to be optimized to maximize the pump’s hydraulic parameters. To achieve this goal the indirect
rotor field oriented control scheme is adopted to overcome the motor’s nonlinear coupling. Besides, instead of using the conventional
PI speed controller, the paper suggests the use of fuzzy sets based – PI controller which shows better dynamic performances and
robustness against system uncertainties. Matlab/Simulink software is used to simulate and predict the behavior of the proposed SWPS
configuration with different climate conditions.
Citation

M. DJERIOU Salim, (2015), "Fuzzy indirect field oriented control of a Dual Star Induction motor water pumping system fed by photovoltaic generator", [national] International journal of engineering intelligent systems for electrical engineering and communications , Aissa Kheldoun

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2013

Study and Simulation of Direct Torque Control (DTC) for a Six Phase Induction Machine (SPIM)

This paper presents a performances study of a Direct Torque and Flux Control (DTC) for a Six Phase Induction Machine (SPIM) dedicated to electrical drives using a two level voltage source inverter (VSI). This method has become one of the high performance control strategies for AC machine to provide a very fast torque and flux control. The simulation results show the effectiveness of the proposed method in both dynamic and steady state response.
Citation

M. DJERIOU Salim, Radhwane Sadouni, , (2013), "Study and Simulation of Direct Torque Control (DTC) for a Six Phase Induction Machine (SPIM)", [national] INTERNATIONAL JOURNAL OF ENERGY , Radhwane Sadouni

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