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17th International Conference on Developments in esystems Engineering, DeSE 2024

作者： Shallal, Issam Haddada, Lamia Rzouga Ben Amara, Najoua Essoukri Université de Sousse Institut Supérieur d’Informatique et des Techniques de Communication de H. Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4011 Tunisia Université de Sousse Institut Supérieur des Sciences Appliquées et de Technologie de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9798350368697

MobileNet is a lightweight convolutional neural network optimized for resource-limited environments. However, its use of depthwise separable convolutions to minimize parameters and computation can reduce accuracy due to oversimplified channel interactions. Principal Component Analysis (PCA) can address this issue by reducing the dimensionality of weight matrices while preserving key features. Applying PCA can help maintain accuracy and compress the model simultaneously. Based on this, we propose a novel copy-move forgery detection approach based on MobilNetV2 and PCA for feature extraction, and a random forest for classification. This allows us to enhance MobileNet accuracy while keeping its model size compact. The results of our experiments conducted on the MICC-F2000 dataset reveal that the proposed hybrid lightweight model outperforms the individual transfer learning structures and the existing literature, achieving 96.37% accuracy. © 2024 IEEE.

关键词： Convolutional neural networks

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Enhanced Detection of Copy-Move Forgery by Fusing Scores From Handcrafted and Deep Learning-Based Detection systems 17

Enhanced Detection of Copy-Move Forgery by Fusing Scores Fro...

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17th International Conference on Developments in esystems Engineering, DeSE 2024

作者： Shallal, Issam Haddada, Lamia Rzouga Amara, Najoua Essoukri Ben Université de Sousse Institut Supérieur d’Informatique et des Techniques de Communication de H. Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4011 Tunisia Université de Sousse Institut Supérieur des Sciences Appliquées et de Technologie de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9798350368697

With the advancement and widespread use of digital devices, capturing images has become effortless in any location. Images serve as evidence, making the authenticity of digital images increasingly critical. Some individuals alter images by adding or removing elements, rendering the images unreliable. Consequently, detecting image forgery has become essential. The evolution of image editing software has intensified this issue within the realm of computer vision. Recently, a variety of algorithms have been developed to identify image forgery. However, with the progress in digital technology, the ease of image manipulation has led to a surge in forgery cases, presenting significant obstacles when verifying their authenticity. Thus, there is a pressing requirement for effective forgery detection methods. This paper introduces a novel copy-move forgery detection approach based on the fusion of a handcrafted forgery detection system utiliszing the scale-invariant feature transform and the support vector machine with a deep-learning-based forgery detection system using VGG16. The aim is to address the challenges of subtle forgery detection and blending and seamless Integration. We conduct the experiments on the MICC_F2000 image manipulation dataset and assess the efficacy of the proposed approach, achieving 96.75% accuracy, 100% precision and 95.5% F1-score. This research demonstrates superior performance compared to state-of-the-art methods. © 2024 IEEE.

关键词： Support vector machines

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Stability and Stabilization of Sampled-Data Based LFC for Power systems:A Data-Driven Method

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 291-293页

作者： Yu-Long Fan Chuan-Ke Zhang Yong He the School of Automation China University of Geosciences the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education IEEE

Dear Editor,This letter is concerned with stability analysis and stabilization design for sampled-data based load frequency control(LFC) systems via a data-driven method. By describing the dynamic behavior of LFC systems based on a data-based representation, a stability criterion is derived to obtain the admissible maximum sampling interval(MSI) for a given controller and a design condition of the PI-type controller is further developed to meet the required MSI. Finally, the effectiveness of the proposed methods is verified by a case study.

关键词： Sampled data control systems

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Finite element and analytic equivalent circuit models for MSIM feeded by MPI controlled by SVPWM strategy to minimise circulation harmonic current

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International Journal of Power Electronics 2022年第3-4期15卷 495-521页

作者： Guenenna, Thouraya Smida, Khaled B. Khedher, Adel LATIS-Laboratory of Advanced Technology and Intelligent Systems Ecole Nationale d'Ingénieurs de Sousse Université de Sousse Sousse4023 Tunisia

This article deals with the determination of the multi-stars induction machine (MSIM) equivalent circuit parameters based on the geometrical and electrical data using two methods namely analytic and finite element method (FEM). Additionally, this paper proposes a general dynamic study of MSIM. This latter is fed by a multi-phase inverter (MPI) controlled by a space vector pulse width modulation (SVPWM) and a sinusoidal pulse width modulation (SPWM). However, when this machine is fed by the voltage inverter for the case of 30° electrical shift between stator stars, large harmonic currents are observed. Thus, the main goal of this paper is to reduce the effect of these harmonic currents. Therefore, to overcome these issues, the machine stars number has been increased to three and four and the inverter has been controlled by the SVPWM. The effectiveness of this association and its capability to reduce the effect of the output harmonic current and electromagnetic torque ripple has been proved by simulation results. © 2022 Inderscience Publishers. All rights reserved.

关键词： Finite element method

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Capacity Improvement in Low Voltage Relay aided PLC based on Decode and Forward Protocol over Middleton class-A Channel

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IETE Journal of Research 2021年第4期67卷 444-452页

作者： Khyari, N. Khalfallah, S. Barouni, Y. Ben Hadj Slama, J. LATIS-Laboratory of Advanced Technology and Intelligent Systems ENISo University of Sousse Sousse Tunisia

We are adopting, in the present work, a cooperative transmission procedure for an in-home communication system as a solution to meet the contemporary needs of the smart grids and smart home. It is composed of a Low Voltage PL channel assisted by a relay station in the presence of an impulsive noise. Our contribution consists of using the Decode and Forward (DF) relaying protocol while adapting the Joint Modulation (JM) technique to the PLC context. The benefits of this integration are highlighted in a comparative study of the system capacities using the DF-JM and the Amplify and Forward (AF) relaying protocols. The transmission channel is affected by an impulsive noise of type Middleton class-A. The evaluation is based initially on signal attenuation model and eventually on Transmission Line Theory. For the latter, a multi-branched cable with loads at the ends is considered when keeping the relay at the optimal selected position. Simulations and mathematical proofs show that the DF JM relaying technique offers more capacity over the AF independently of cable configuration. Furthermore, in the current study, we analyse the effect of load impedance and branch density on the DF-JM PLC as well as their contribution to the system performance while varying the class-A model parameters. © 2021 IETE.

关键词： Cooperative communication

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Predictive Direct Power Control Strategy for Grid-Connected VSI 6

Predictive Direct Power Control Strategy for Grid-Connected ...

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6th IEEE International Conference on advanced systems and Emergent Technologies, IC_ASET 2023

作者： Mahmoud, Zouhaira Ben Khedher, Adel Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9798350321029

A key limitation of the lookup table-based direct power control strategy is that the switching frequency varies with the distinct active and reactive powers combinations, resulting in an undesirable broadband harmonic spectrum range. The current study introduces a direct power control that is based on predictive approach (P-DPC) for grid-tied VSI. This approach is established through the fusion of the DPC technique and the predictive one, providing high dynamic performance and constant switching frequency. Rather than applying one voltage vector in the DPC scheme, the recommended P-DPC makes use the sequence of voltage vectors throughout a switching period. The strategy's principle involves two essential steps. The first one consists to determine the adequate sequence of vectors which contains zero and non-zero vectors and then to arrange them so that switching losses are kept to a minimal while still supervising the exchanged powers with the grid. Secondly, the power errors are eliminated by the prediction of the duration times. A grid-connected inverter model is used for numerical testing to validate the feasibility of the suggested P-DPC algorithm. The obtained results show high steady state and dynamic performances. © 2023 IEEE.

关键词： Vectors

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Sensorless Vector Control of Dual Star Induction Machine Using Sliding Mode Flux Observer 6

Sensorless Vector Control of Dual Star Induction Machine Usi...

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6th IEEE International Conference on advanced systems and Emergent Technologies, IC_ASET 2023

作者： Latrech, Fatma Zohra Rhouma, Asma Ben Khedher, Adel Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9798350321029

This paper presents the vector control of a double-star induction machine (DSIM) using a sliding mode flux observer (SMFO). The vector control strategy is often sensitive to changes in machine parameters, and the real-time measurement of these parameters increases the cost of the system. To overcome these drawbacks, a sensorless DSIM operation can be achieved using an SMFO, which provides robust control against parameter variations without requiring speed and stator flux sensors. Simulation tests were conducted in the MATLAB/Simulink environment to demonstrate the effectiveness of the proposed structure. Finally, the simulation results are recorded and analyzed. © 2023 IEEE.

关键词： Vectors

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Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 723-733页

作者： Xiongbo Wan Chaoling Zhang Fan Wei Chuan-Ke Zhang Min Wu IEEE the School of Automation China University of Geosciencesthe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsand the Engineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationWuhan 430074China

This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative dynamic variable and an additive dynamic *** addressed DETM-based fuzzy MPC issue is described as a “min-max” optimization problem(OP).To facilitate the co-design of the MPC controller and the weighting matrix of the DETM,an auxiliary OP is proposed based on a new Lyapunov function and a new robust positive invariant(RPI) set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy MPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI *** the designed controller,the involved fuzzy system is ensured to be asymptotically *** examples show that the new DETM and DETM-based MPC algorithm have the advantages of reducing resource consumption while yielding the anticipated performance.

关键词： Dynamic event-triggered mechanism(DETM) hybrid dynamic variables model predictive control(MPC) robust positive invariant(RPI)set T-S fuzzy systems

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High-energy-density lithium manganese iron phosphate for lithium-ion batteries:Progresses,challenges,and prospects

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Journal of Energy Chemistry 2025年第1期100卷 1-17页

作者： Bokun Zhang Xiaoyun Wang Shuai Wang Yan Li Libo Chen Handong Jiao Zhijing Yu Jiguo Tu State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China Research Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 9977China Institute of Advanced Structure Technology Beijing Institute of TechnologyBeijing 100081China

The soaring demand for smart portable electronics and electric vehicles is propelling the advancements in high-energy–density lithium-ion *** manganese iron phosphate(LiMn_(x)Fe_(1-x)PO_(4))has garnered significant attention as a promising positive electrode material for lithium-ion batteries due to its advantages of low cost,high safety,long cycle life,high voltage,good high-temperature performance,and high energy *** LiMn_(x)Fe_(1-x)PO_(4)has made significant breakthroughs in the past few decades,there are still facing great challenges in poor electronic conductivity and Li-ion diffusion,manganese dissolution affecting battery cycling performance,as well as low tap *** review systematically summarizes the reaction mechanisms,various synthesis methods,and electrochemical properties of LiMn_(x)Fe_(1-x)PO_(4)to analyze reaction processes accurately and guide material ***,the main challenges currently faced are concluded,and the corresponding various modification strategies are discussed to enhance the reaction kinetics and electrochemical performance of LiMn_(x)Fe_(1-x)PO_(4),including multi-scale particle regulation,heteroatom doping,surface coating,as well as microscopic morphology ***,in view of the current research challenges faced by intrinsic reaction processes,kinetics,and energy storage applications,the promising research directions are *** importantly,it is expected to provide key insights into the development of high-performance and stable LiMn_(x)Fe_(1-x)PO_(4)materials,to achieve practical energy storage requirements.

关键词： Lithiummanganese iron phosphate High energydensity Lithium-ionbatteries Reactionmechanism Tap density

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Siamese Networks With Attention for User-Independent Offline Handwritten Signature Verification 22

Siamese Networks With Attention for User-Independent Offline...

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22nd International Conference on Cyberworlds, CW 2023

作者： Ali, Ibtissem Hadj Mahjoub, Mohamed Ali Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9798350315653

Signatures are one of the most relevant and convenient methods for user verification, despite their vulnerability to skilled tampering. In this work, we propose a user-independent offline signature verification technique based on the Siamese architecture. For the feature extraction step, we use an improved residual network by incorporating channel wise attention. Experiments conducted on the CEDAR database have validated the effectiveness and strength of our approach. © 2023 IEEE.

关键词： Deep neural networks

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