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2024 International Symposium of systems, advanced Technologies and Knowledge, ISSATK 2024

作者： Trabelsi, Rim Nouri, Khaled Polytechnic Tunis Advanced Systems Laboratory Tunisia

ISBN: (纸本)9798331540173

Facial Recognition (FR) plays a crucial role in a variety of fields, such as surveillance, healthcare, security, and robotics. Although several facial recognition algorithms are available, many still struggle to deliver high accuracy and real-time performance due to inherent limitations. Recent breakthroughs in deep learning, especially with the implementation of advanced neural network architectures like Convolutional Neural Networks (CNNs), have significantly enhanced the effectiveness of facial recognition systems. This paper presents a novel system that integrates the Viola-Jones face detection algorithm, the Daubechies Discrete Wavelet Transform (DWT), and CNNs. This integrated approach significantly enhances recognition accuracy, achieving a 98% success rate and outperforming previous methods that relied on individual techniques for specific image sets. © 2024 IEEE.

关键词： Convolutional neural networks

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An Integrated Sensor Fault Estimation and Fault-Tolerant Control Design Approach for Continuous-Time Switched systems

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Journal of Dynamic systems, Measurement and Control 2025年第4期147卷 041006页

作者： Elouni, Mohamed Hamdi, Habib Rabaoui, Bouali Rodrigues, Mickael Braiek, Naceur Benhadj Advanced Systems Laboratory National Higher Engineering School of Tunis ENSIT University of Tunis La Marsa2078 Tunisia Advanced Systems Laboratory Tunisian Polytechnic School University of Carthage La Marsa2078 Tunisia Automation and Process Engineering Laboratory IUT Lyon1 University of Lyon CNRS UMR 5007 Lyon69100 France

This paper proposes a robust integrated fault estimation (FE) and fault-tolerant control (FTC) strategy for a class of continuous-time switched systems in the presence of unknown external disturbances and sensor faults. The main idea focuses on designing a switched descriptor observer to achieve simultaneous estimations of system states and sensor faults. With the acquired estimation information, an integrated development of the estimated state feedback fault-tolerant controller is constructed to compensate for the fault effects by stabilizing the switched closed-loop system. Based on the average dwell time (ADT) concept and the Lyapunov-Krasovskii functional method, new and less conservative stability conditions are established with a prescribed H∞ performance level in a single-step linear matrix inequality (LMI) formulation. Finally, both a numerical example and a highly maneuverable aircraft technology (HiMAT) vehicle are provided to illustrate the effectiveness of the developed strategy. Copyright © 2025 by ASME.

关键词： Continuous time 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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Enhancing Traffic Sign Recognition Through Daubechies Discret Wavelet Transform and Convolutional Neural Networks 6

Enhancing Traffic Sign Recognition Through Daubechies Discre...

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

作者： Trabelsi, Rim Nouri, Khaled Ammari, Imen Polytechnic Tunis Advanced Systems Laboratory Tunisia Iset Rades Tunisia

ISBN: (纸本)9798350321029

Traffic sign recognition (TSR) is an important task in the field of autonomous vehicles and intelligent transportation systems. In this paper, we propose a novel approach to TSR using a combination of Discrete Daubechies Wavelet Transform (DDWT) and Convolutional Neural Networks (CNN). The approach transforms the input image into a wavelet representation using the DDWT and then uses a CNN to classify the traffic sign based on the representation. The proposed TSR method, combining DDWT and CNN, demonstrates high accuracy and efficiency, making it suitable for real-time applications. © 2023 IEEE.

关键词： Discrete wavelet transforms

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Boosting Facial Recognition Accuracy through Daubechies Wavelet Techniques and Deep Convolutional Models

Boosting Facial Recognition Accuracy through Daubechies Wave...

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systems, advanced Technologies and Knowledge (ISSATK), International Symposium of

作者： Rim Trabelsi Khaled Nouri Advanced Systems Laboratory Polytechnic Tunis Tunisia

ISBN: (数字)9798331540173

ISBN: (纸本)9798331540180

Facial Recognition (FR) plays a crucial role in a variety of fields, such as surveillance, healthcare, security, and robotics. Although several facial recognition algorithms are available, many still struggle to deliver high accuracy and real-time performance due to inherent limitations. Recent breakthroughs in deep learning, especially with the implementation of advanced neural network architectures like Convolutional Neural Networks (CNNs), have significantly enhanced the effectiveness of facial recognition systems. This paper presents a novel system that integrates the Viola-Jones face detection algorithm, the Daubechies Discrete Wavelet Transform (DWT), and CNNs. This integrated approach significantly enhances recognition accuracy, achieving a ${9 8 \%}$ success rate and outperforming previous methods that relied on individual techniques for specific image sets.

关键词： Training Accuracy Face recognition Neural networks Feature extraction Real-time systems Discrete wavelet transforms Classification algorithms Face detection Convolutional neural networks

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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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Actuator Fault Estimation Based on Sliding Mode Observer for Continuous-Time Switched systems 21

Actuator Fault Estimation Based on Sliding Mode Observer for...

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21st International Multi-Conference on systems, Signals and Devices, SSD 2024

作者： Elouni, Mohamed Hamdi, Habib Rabaoui, Bouali Rodrigues, Mickael Braiek, Naceur Benhadj Polytechnic School of Tunisia University of Carthage Advanced Systems Laboratory La Marsa2078 Tunisia University of Lyon Automation and Process Engineering Laboratory Villeurbanne LyonF-69622 France

ISBN: (纸本)9798350374131

In this paper, an actuator fault reconstruction scheme for a class of continuous-time switched systems with unknown external disturbances is investigated. The proposed fault estimation approach uses a switching Sliding Mode Ob-server (SMO) which allows achieving fast and exact fault information. Sufficient conditions are formulated in terms of Linear Matrix Inequalities (LMIs) optimization by using a multiple Lyapunov-Krasovskii functional while respecting the Mode-Dependent Average Dwell Time (MDADT) constraints in the objective to obtain less conservative results. Finally, a simulation study on a two-tank process is considered to illustrate the effectiveness of the proposed fault reconstruction approach. © 2024 IEEE.

关键词： Continuous time systems

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In situ formed ultrafine metallic Ni from nickel(Ⅱ) acetylacetonate precursor to realize an exceptional hydrogen storage performance of MgH_(2)-Ni-EG nanocomposite

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Journal of Magnesium and Alloys 2023年第9期11卷 3174-3185页

作者： Shaoyang Shen Liuzhang Ouyang Jiangwen Liu Hui Wang Xu-Sheng Yang Min Zhu School of Materials Science and Engineering and Key Laboratory of Advanced Energy Storage Materials of Guangdong Province South China University of TechnologyGuangzhou510641China China-Australia Joint Laboratory for Energy&Environmental Materials Key Laboratory of Fuel Cell Technology of Guangdong ProvinceGuangzhouGuangzhou510641China Advanced Manufacturing Technology Research Centre Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Research Institute for Smart Energy The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina

It has been well known that doping nano-scale catalysts can significantly improve both the kinetics and reversible hydrogen storage capacity of MgH_(2) . However, so far it is still a challenge to directly synthesize ultrafine catalysts(e.g., < 5 nm), mainly because of the complicated chemical reaction processes. Here, a facile one-step high-energy ball milling process is developed to in situ form ultrafine Ni nanoparticles from the nickel acetylacetonate precursor in the MgH_(2) matrix. With the combined action of ultrafine metallic Ni and expanded graphite(EG), the formed MgH_(2)-Ni-EG nanocomposite with the optimized doping amounts of Ni and EG can still release 7.03 wt.% H_(2) within 8.5 min at 300 ℃ after 10 cycles. At a temperature close to room temperature(50 ℃), it can also absorb 2.42 wt.% H_(2) within 1 h. It can be confirmed from the microstructural characterization analysis that the in situ formed ultrafine metallic Ni is transformed into Mg_(2)Ni/Mg_(2)NiH_4 in the subsequent hydrogen absorption and desorption cycles. It is calculated that the dehydrogenation activation energy of the MgH_(2)-Ni-EG nanocomposite is also reduced obviously in comparison with the pure MgH_(2) . Our work provides a methodology to significantly improve the hydrogen storage performance of MgH_(2) by combining the in situ formed and uniformly dispersed ultrafine metallic catalyst from the precursor and EG.

关键词： Hydrogen storage Magnesium hydride Nickel precursor Size effect Expanded graphite

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Optimized Hybrid Control for Attitude Adjustment of Downhole Directional Drilling Tools 50

Optimized Hybrid Control for Attitude Adjustment of Downhole...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Xiao, Jing Wang, She Cai, Zhen School of Information Engineering Wuhan City Polytechnic University Wuhan430064 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9781665464543

This study delves into the critical role of attitude control in downhole directional drilling tools, focusing on the complex coupling between inclination and azimuth in the motion model, particularly the time-varying nature of azimuth adjustments. By implementing separate control strategies for inclination and azimuth, the research integrates a comprehensive hybrid control system. It rigorously examines the stability of the closed-loop systems and validates the effectiveness and applicability of the hybrid control method through extensive simulations. The system demonstrates significant robustness and adaptability, enhancing drilling precision and efficiency. © 2024 IEEE.

关键词： State feedback

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Local chemical ordering coordinated thermal stability of nanograined high-entropy alloys

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Rare Metals 2023年第5期42卷 1645-1655页

作者： Hong-Hui Wu Lin-Shuo Dong Shui-Ze Wang Gui-Lin Wu Jun-Heng Gao Xu-Sheng Yang Xiao-Ye Zhou Xin-Ping Mao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)Yangjiang529500China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityKowloon999077Hong KongChina Guangdong Province Key Laboratory of Durability for Marine Civil Engineering School of Civil EngineeringShenzhen UniversityShenzhen518060China

Nanograined(NG)materials often suffer from low thermal stability owing to the high volume fraction of grain boundaries(GBs).Herein,we investigate the possibility of utilizing local chemical ordering(LCO)for improving the thermal stability of NG FeCoNiCrMn highentropy alloys(HE As).NG HE As with two different grain sizes were *** tests and creep test simulations were then performed to reveal the influence of LCO on the mechanical properties and thermal stability of NG HE *** performing hybrid molecular dynamics and Monte Carlo simulations,Cr atoms were found to accumulate at *** analyzing the atomic structure evolution during the deformation process,we found that the formation of LCO effectively stabilized the GBs and inhibited GB *** addition,dislocation nucleation from GBs and dislocation movement was also *** inhibiting effect of LCO on GB movement and dislocation activity is more prominent than in the NG model with smaller grain *** current simulation results suggest a possible strategy for enhancing the thermal stability of NG HEAs for service in a high-temperature environment.

关键词： High-entropy alloys(HEAs) Local chemical ordering(LCO) Molecular dynamics(MD)simulation Monte Carlo(MC)approach

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