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21st IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2022

作者： Kraiem, S. Slama, J. Ben Hadj Hamouda, M. Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9781665482615

In this paper, validation of a studied Electromagnetic interferences (EMI) mitigation methodology is carried out. The method is applied to AC-HERIC topology as another topology of transformerless single-phase PV inverters, which contains a variety of switching cells. For this reason, a proposed high-frequency model is simulated using a SPICE-based circuit type to predict the conducted EMI generated in this topology. The mitigation strategy entails locating the switching cell that is considered to be the most disturbing source of conducted EMI. Subsequently, variations of some intrinsic parameters of the Si-MOSFET of the selected EMI source. Then, a considerable effect on electromagnetic interference in the high-frequency range (150 kHz- 30MHz). The results are shown in the time and frequency domains to demonstrate that mitigating conducted EMI in power inverters with multiple switching cells is possible by choosing a Si-MOSFET reference with the right intrinsic parameters for the most disruptive cell. © 2022 IEEE.

关键词： Signal interference

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Suppressing high voltage chemo-mechanical degradation in single crystal nickel-rich cathodes for high-performance all-solid-state lithium batteries

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Journal of Energy Chemistry 2025年第3期102卷 377-385页

作者： Yirong Xiao Le Yang Chaoyuan Zeng Ze Hua Shuangquan Qu Niaz Ahmad Ruiwen Shao Wen Yang Key Laboratory of Cluster Science of Ministry of Education Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Medical TechnologyBeijing Institute of TechnologyBeijing 100081China School of Chemistry and Chemical Engineering Key Laboratory of Ministry of Education for Advanced Materials in Tropical Island ResourcesCollaborative Innovation Center of Ecological CivilizationHainan UniversityHaikou 570228HainanChina

Sulfide-based all-solid-state lithium batteries suffer from electrochemo-mechanical damage to Ni-rich oxide-based cathode active materials(CAMs),primarily caused by severe volume changes,results in significant stress and strain,causes micro-cracks and interfacial contact loss at potentials>4.3 V(***/Li^(+)).Quantifying micro-cracks and voids in CAMs can reveal the degradation mechanisms of Ni-rich oxidebased cathodes during electrochemical ***,the origin of electrochemical-mechanical damage remains ***,We have developed a multifunctional PEG-based soft buffer layer(SBL)on the surface of carbon black(CB).This layer functions as a percolation network in the single crystal LiNi_(0.83)Co_(0.07)Mn_(0.1)O_(2)and Li_(6)PS_(5)Cl composite cathode layer,ensuring superior ionic conductivity,reducing void formation and particle cracking,and promoting uniform utilization of the cathode active material in all-solid-state lithium batteries(ASSLBs).High-angle annular dark-field STEM combined with nanoscale X-ray holo-tomography and plasma-focused ion beam scanning electron microscopy confirmed that the PEG-based SBL mitigated strain induced by reaction heterogeneity in the *** strain produces lattice stretches,distortions,and curved transition metal oxide layers near the surface,contributing to structural degradation at elevated ***,ASSLBs with a LiNi_(0.83)Co_(0.07)Mn_(0.1)O_(2)cathode containing LCCB-10(CB/PEG mass ratio:100/10)demonstrate a high areal capacity(2.53 mAh g^(-1)/0.32 mA g^(-1))and remarkable rate capability(0.58 mAh g^(-1)at 1.4 mA g^(-1)),with88%capacity retention over 1000 cycles.

关键词： Single crystal nickel-rich oxide cathode Lattice stretches and distortions Reaction heterogeneity Percolation network All-solid-state lithium batteries

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Modeling and Control of a Grid-Connected Photovoltaic System

Modeling and Control of a Grid-Connected Photovoltaic System

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2023 IEEE International Conference on Artificial Intelligence and Green Energy, ICAIGE 2023

作者： Hadj Brahim Kechiche, Olfa Bel Mallat, Mariem HSousse4011 Tunisia University of Sousse École Nationale d'Ingenieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Sousse ESSTHSousse HSousse 4011 Tunisia

ISBN: (纸本)9798350325539

The purpose of the work was to modeling and control of a grid connected photovoltaic system. The system consists of photovoltaic panels, voltage inverter with MPPT control, filter, Phase Looked Loop (PLL) and three phase grid. The connection of the inverter to the grid is provided by an inductive filter (R, L). The MPPT control is established using Perturb & Observe (P&O) algorithm. A control strategy based on Lyapunov approach is adopted to obtain a Power Factor (PF) equal to 1 and stabilize the grid-connected PV module system. The simulation results have been performed in MATLAB/Simulink® software and show the performance control of photovoltaic systems in different illumination conditions. © 2023 IEEE.

关键词： Solar panels

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AN Optimized Genetic Algorithm (GA)-Based MPPT for Off-Grid Solar Photovoltaic System

AN Optimized Genetic Algorithm (GA)-Based MPPT for Off-Grid ...

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2023 IEEE International Conference on Artificial Intelligence and Green Energy, ICAIGE 2023

作者： Mallat, Mariem Hadj Brahim Kechiche, Olfa Bel Ezzeddine, Kawther Hamouda, Mahmoud Sousse4011 H Tunisia Université de Sousse École Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Tunis1008 Tunisia

ISBN: (纸本)9798350325539

Maximum power point tracking (MPPT) algorithms play a key role in a photovoltaic (PV) energy conversion system, which should inherently operate at its maximum available power. Genetic algorithms (GA) have shown their capability to solve different optimization problems and also their superiority to many other methods. In this paper, a GA-based MPPT algorithm is implemented to extract the maximum power from an off-grid PV system. To convert the generated DC power from the PV arrays into adequate AC power to supply different types of loads, a double-stage power conversion topology is adopted. A DC-DC boost converter is firstly, connected to the terminals of the PV modules. The GAbased MPPT algorithm is, thereafter, implemented to adjust the duty cycle of the boost converter in a way to achieve MPP operation of the PV modules. Then, a stand-alone PV inverter is connected in cascade with the boost converter to feed the AC loads. A numerical model of the whole PV conversion platform is developed using Matlab/Simulink software. Thereafter, different simulation tests are performed considering a real case of an off-grid PV installation located in the city of Mzaougha, Monastir (Tunisia) in an isolated area from distribution grid of the national company of electricity. An adequate PV module, which satisfies the energetic needs of the site is also selected and its real model is used for simulations. The obtained results confirm the feasibility of the proposed technique and its effectiveness in controlling an off-grid PV system. © 2023 IEEE.

关键词： Genetic algorithms

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Siamese Network for Face Recognition in Degraded Conditions 6

Siamese Network for Face Recognition in Degraded Conditions

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6th International Conference on advanced Technologies for Signal and Image Processing, ATSIP 2022

作者： Ouannes, Laila Khalifa, Anouar Ben Amara, Najoua Essoukri Ben Ecole Nationale d'Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse4023 Tunisia

ISBN: (纸本)9781665451161

In recent years, face recognition become a primordial technique in computer vision and machine learning. However, masks and many other accessories such as glasses, sunglasses and scarfs lead to face occlusion, which inhibits face recognition and degrades its performance. The automatic recognition of this kind of faces is challenging because: 1) the occluded area hides a significant part from the face, 2) there is a lack of annotated occluded face images for training, and 3) the various degraded conditions make the face recognition task more difficult and complex. To overcome these difficulties, we suggest a new approach for occluded face recognition grounded on the few-shot learning technique. Our suggested approach is based on a Siamese network based on the pre-trained Inception-v3 model for multi-class face recognition under degraded conditions. It aims to represent face images in a new embedding space by extracting the most significant features through the Inception-v3 network. Our proposed network is optimized utilizing the contrastive loss which is calculated between two input images. The suggested network overcomes the existing literature techniques and proves its performance against pre-trained models on both IST-EURECOM LFFD and EKFD datasets. © 2022 IEEE.

关键词： Face recognition

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Investigating the robustness of multi-view detection to current adversarial patch threats 6

Investigating the robustness of multi-view detection to curr...

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6th International Conference on advanced Technologies for Signal and Image Processing, ATSIP 2022

作者： Tarchoun, Bilel Khalifa, Anouar Ben 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)9781665451161

As deep neural networks are increasingly integrated in our daily lives, the safety and reliability of their results has become of paramount importance. However, the vulnerability of these networks to adversarial attacks are an obstacle to wider adoption, especially in safety-critical applications: A malicious actor can manipulate the results of a deep neural network by adding a nearly imperceptible noise to the input. And adversarial patch attacks make real-life implementations of these threats easier. Therefore, studying these attacks has become a rapidly growing field of artificial intelligence research. One aspect of this research is studying the behavior of patch attacks in various scenarios to understand their inner workings and find novel method to secure deep neural networks. In this paper, we examine the effectiveness of existing adversarial patch attacks against a multi-view detector. To this aim, we propose an evaluation framework where an adversarial patch is trained against a single view of a multi-view dataset and transfer the patch to the other views of the dataset with the use of perspective geometric transforms. Our results confirm that current single-view adversarial patches struggle against multi-view detectors, especially when only few views are attacked. These observations suggest that multi-view detection methods may be a step forward towards reliable and safe AI. © 2022 IEEE.

关键词： Deep neural networks

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Performance Assessment of Double Line HVAC Circuit versus Bipolar HVDC Link in Presence of Large-Scale Solar Plant

Performance Assessment of Double Line HVAC Circuit versus Bi...

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2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2022

作者： Essallah, Sirine Hussein, Israa Ismael Khedher, Adel Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (纸本)9781665451680

This paper presents a comparative study between the bipolar HVDC link and the double line HVAC circuit in the presence of a 1000 MW solar generating unit. The influence of the penetration of renewable power on system losses, voltage and transient stability is investigated. The research is performed on the Iraqi super-grid considering three types of faults are examined namely the line and the bus disturbances, and the line trip. The simulations were carried out for different transmission line length using the PSS/E software. The results showed that the bipolar HVDC link presents better results compared to the double line HVAC circuit in terms of stability, voltage improvement and power losses minimization. © 2022 IEEE.

关键词： Timing circuits

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Surface repair of wide-bandgap perovskites for high-performance all-perovskite tandem solar cells

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Journal of Energy Chemistry 2024年第6期93卷 64-70,I0003页

作者： Xiaojing Lv Weisheng Li Jin Zhang Yujie Yang Xuefei Jia Yitong Ji Qianqian Lin Wenchao Huang Tongle Bu Zhiwei Ren Canglang Yao Fuzhi Huang Yi-Bing Cheng Jinhui Tong State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070HubeiChina Key Lab of Artificial Micro-and Nano-Structures of Ministry of Education of China School of Physics and TechnologyWuhan UniversityWuhan 430072HubeiChina Department of Electrical and Electronic Engineering Photonics Research Institute(PRI)Research Institute for Intelligent Wearable Systems(iWEAR)The Hong Kong Polytechnic University999077Hong KongChina Laboratory of Advanced Materials Fudan UniversityShanghai 200438China Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan 528200GuangdongChina

Wide-bandgap(WBG)perovskite solar cells(PSCs)play a fundamental role in perovskite-based tandem solar ***,the efficiency of WBG PSCs is limited by significant open-circuit voltage losses,which are primarily caused by surface *** this study,we present a novel method for modifying surfaces using the multifunctional S-ethylisothiourea hydrobromide(SEBr),which can passivate both Pb^(-1)and FA^(-1)terminated surfaces,Moreover,the SEBr upshifted the Fermi level at the perovskite interface,thereby promoting carrier *** proposed method was effective for both 1.67 and 1.77 eV WBG PSCs,achieving power conversion efficiencies(PCEs)of 22.47%and 19.90%,respectively,with V_(OC)values of 1.28 and 1.33 V,along with improved film and device *** this advancement,we were able to fabricate monolithic all-perovskite tandem solar cells with a champion PCE of 27.10%,This research offers valuable insights for passivating the surface trap states of WBG perovskite through rational multifunctional molecular engineering.

关键词： Wide-bandgap perovskite Surface defect Multifunctional molecule All-perovskite tandem solar cells

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PV System Faults Detection and Classification Using Multi-class Support Vector Machine Algorithm

PV System Faults Detection and Classification Using Multi-cl...

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International Conference on advanced systems and Electric Technologies (IC_ASET)

作者： Eya Gassab Noureddaher Zaidi Adel Khedher Industrial Electronics Dep National Engineering School of Sousse University of Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

In this article, an in-depth analysis was conducted to solve the significant challenge of early and accurate fault detection in PV systems. In the first step, the modeling of a PV system in healthy mode and degraded mode is carried out. After this, five types of defects were considered and implemented in order to form a database for diagnosis purposes. In the second step, a diagnostic approach based on a multi-class Support Vector Machine algorithm is proposed. This approach, using an RBF (Radial Basis Function) kernel and a multiple binary classifier, has shown its high ability and efficiency to detect and classify defects in a PV system.

关键词： Support vector machines Fault diagnosis Accuracy Databases Fault detection Vectors Classification algorithms

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Approach For Probabilistic Semantic Big Data Indexing under an Uncertain Environment 17

Approach For Probabilistic Semantic Big Data Indexing under ...

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17th International Conference on INnovations in intelligent systems and Applications, INISTA 2023

作者： Omri, Asma Jalouli, Malika Benslimane, Djamal Omri, Mohammed Nazih University of Sousse Mars Research Laboratory Tunisia Université de Sousse Ecole Nationale d'Ingénieur De Sousse Latis Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia University Claude Bernard Liris Research Laboratory France

ISBN: (纸本)9798350338904

Indexing techniques are essential for efficiently storing and retrieving big data. Traditional indexing methods may not be suitable for uncertain environments due to their reliance on complete and accurate data. In such cases, probabilistic indexing techniques can be employed. These techniques assign probabilities to different values or attributes of the data, allowing for efficient retrieval even in the presence of uncertainty. Examples of probabilistic indexing techniques include inverted indexes with probabilistic weights and Bayesian networks. Handling uncertainty is a critical aspect of indexing big data in an uncertain environment. Our main objective in this paper is to propose a new method of semantic indexing of data in an uncertain environment. Basically, our proposed method is composed of two main parts: (i) a first part consists in processing the uncertain data in a textual document and, (ii) the second part consists in determining a new model of uncertain semantic *** developed a series of experiments to evaluate our proposed solution by comparing it to the approaches studied in the literature. The results found showed that our solution is more efficient. © 2023 IEEE.

关键词： Semantics

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