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International Conference on Information Networking

作者： Hasanien Ali Talib Alothman Wafa Lejmi Safa Ameur Mohamed Ali Mahjoub ISITCom - Higher Institute of Computer Science and Communication Sousse Tunisia LATIS - Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) University of Sousse Sousse Tunisia Mechatronics Engineering Department University of Mosul Mosul Iraq

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

This study applies interpretable artificial intelligence (XAI) techniques in an unprecedented way to improve transparency in online Arabic handwriting recognition models. By using the LIME (Local Model-Independent Explanations) technique to analyze and interpret a convolutional neural network (CNN) model trained on the ADAB dataset. LIME highlights the key features that the model relies on in handwriting recognition. This research demonstrates the effectiveness of the LIME technique in uncovering the factors that the model relies on in an unconventional way and provides detailed explanations of how the decisions are made, which enhances transparency and increases users’ confidence in these models. The results provide useful information for improving the performance of handwriting recognition systems and a beginning for applying XAI techniques on a larger scale, including using more complex datasets and additional interpretation techniques to gain a deeper understanding of how models work with different handwriting styles. This study paves the way for the use of interpretable techniques in the field of Arabic handwriting recognition.

关键词： Deep learning Handwriting recognition Analytical models Explainable AI Shape Decision making Predictive models Prediction algorithms Data models Convolutional neural networks

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Hand-Motion Intention Recognition Based on One-Dimensional Convolutional Neural Network 41

Hand-Motion Intention Recognition Based on One-Dimensional C...

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第41届中国控制会议

作者： Hao Wu Feng Wang Juan Zhao Jinhua She School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Engineering Tokyo University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Surface electromyographic(sEMG) signals play an important role in human-computer interaction between patients and rehabilitation robots in rehabilitation *** paper shows the effectiveness of one-dimensional convolutional neural networks(1-D CNN) in estimating hand motion intentions from sEMG *** database 1 was employed to train the ***,the data from a single subject was used to train a model,and the accuracy was roughly maintained at 80%.Then,the whole dataset was used to train the network,and the recognition accuracy was improved to 84.16%.This shows that 1-D CNN effectively estimates hand movements and achieves high accuracy even for a small number of data.

关键词： Electromyographic hand motion intention Ninapro database one-dimensional convolutional neural network(1-D CNN)

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Hybrid approach for speaker recognition based on formant and pitch extraction 22

Hybrid approach for speaker recognition based on formant and...

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22nd International Conference on Cyberworlds, CW 2023

作者： Boujnah, Sana Ferjaoui, Radhia Khalifa, Anouar Ben University of Tunis El Manar Tunisia National Engineering School of Tunis Tunisia NOCCS-Laboratory of Networked Objects Control and Communication Systems Eniso Tunisia Istmt Tunis Tunisia Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef7100 Tunisia

ISBN: (纸本)9798350315653

Human voice is an ideal data source for identifying people in many applications. Because of the increasing need for security in different public places, voice biometrics may be a good solution, as we can easily take voice records. This paper provides a brief overview of the approaches utilized in recognizing speakers, and then presents a novel approach for recognizing speakers in degraded smart-home conditions. The suggested approach includes a pre-processing phase, a feature extraction phase, and a classification phase, where the feature extraction phase consists of formant extraction to get the spectrum energy maxima of speech audio, dynamic time warping (DTW)to find an optimal alignment between two provided temporal sequences under definite restrictions, and refinement process to improve the results of the DTW system output. The experiments are carried out on a database containing 1,248 samples in order to validate the suggested approach. The latter has good results as regards the state of the art with 94.5% accuracy. © 2023 IEEE.

关键词： Feature extraction

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Machine learning molecular dynamics simulation identifying weakly negative effect of polyanion rotation on Li-ion migration

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npj Computational Materials 2023年第1期9卷 1276-1286页

作者： Zhenming Xu Huiyu Duan Zhi Dou Mingbo Zheng Yixi Lin Yinghui Xia Haitao Zhao Yongyao Xia College of Materials Science and Technology Nanjing University of Aeronautics and Astronautics210016 NanjingChina Center for Intelligent and Biomimetic Systems Shenzhen Institutes of Advanced Technology(SIAT)Chinese Academy of Sciences(CAS)518055 ShenzhenChina Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Institute of New EnergyiChEm(Collaborative Innovation Center of Chemistry for Energy Materials)Fudan University200433 ShanghaiChina

Understanding the physical picture of Li ion transport in the current ionic conductors is quite essential to further develop lithium superionic conductors for solid-state *** traditional practice of directly extrapolating room temperature ion diffusion properties from the high-temperature(>600 K)ab initio molecular dynamics simulations(AIMD)simulations by the Arrhenius assumption unavoidably cause some ***,the ultralong-time molecular dynamics simulation based on the machine-learning interatomic potentials(MLMD)is a more suitable tool to probe into ion diffusion events at low temperatures and simultaneously keeps the accuracy at the density functional theory ***,by the low-temperature MLMD simulations,the non-linear Arrhenius behavior of Li ion was found for Li3ErCl6,which is the main reason for the traditional AIMD simulation overestimating its ionic *** 1μs MLMD simulations capture polyanion rotation events in Li_(7)P_(3)S_(11) at room temperature,in which four[PS_(4)]^(3−)tetrahedra belonging to a part of the longer-chain[P_(2)S_(7)]4−group are noticed with remarkable rotational motions,while the isolated group[PS_(4)]^(3−)does not ***,no polyanion rotation is observed in Li10GeP_(2)S12,β-Li3PS_(4),Li3ErCl6,and Li3YBr6 at 300 K during 1μs simulation ***,the ultralong-time MLMD simulations demonstrate that not only there is no paddle-wheel effect in the crystalline Li_(7)P_(3)S_(11) at room temperature,but also the rotational[PS_(4)]^(3−)polyanion groups have weakly negative impacts on the overall Li ion *** ultralong-time MLMD simulations deepen our understanding of the relationship between the polyanion rotation and cation diffusion in ionic conductors at room environments.

关键词： rotation dynamics effect

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ViT-based Terrain Recognition System for wearable soft exosuit

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Biomimetic Intelligence & Robotics 2023年第1期3卷 57-64页

作者： Fangliang Yang Chunjie Chen Zhuo Wang Hui Chen Yao Liu Gang Li Xinyu Wua Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Shenzhen College of Advanced Technology University of Chinese Academy of SciencesShenzhen 518055China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Guangdong-Hong Kong-Macao Joint Laboratory of Human–Machine Intelligence-Synergy Systems Shenzhen 518055China SIASUN Robot and Automation CO. LtdShenyang 110169China

Terrain classification and force assistance strategies in complex environments have always piqued the interest of many *** wearable soft exosuits,inaccurate terrain recognition can easily introduce undesired assist forces that can easily injure the *** of these problems,we introduced a depth camera into the exosuit system,perform classification of terrain based on a Vision Transformer(ViT),and optimized the control algorithm,which is known as a ViT-Based Terrain Recognition System(TTRS).First,we used the Transformer algorithm to achieve a considerable classification effect in terrain *** also introduced terrain recognition as prior knowledge into the force assistance strategy of the exosuit,providing different force assistance to the exosuit in different ***,we performed human experiments with seven able-bodied people(six males and one female).The promising results demonstrate that our classification accuracy can reach 99.2%under six different terrains and that it can smoothly switch the force–assist curve in different terrains to better adapt to the complex terrain and improve the walking *** aforementioned terrain recognition algorithms and force–assist strategies may positively influence the study of soft exosuit,powered prostheses,and orthotics.

关键词： Vision Transformer(ViT) Depth camera Wearable soft exosuit Force assistance strategy Terrain recognition

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Three-Dimensional Force Sensor Based on Deep Learning 1st

Three-Dimensional Force Sensor Based on Deep Learning

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1st International Conference on Cognitive Computation and systems, ICCCS 2022

作者： Duan, Qingling Zhang, Qi Luo, Dong Yang, Ruofan Zhu, Chi Liu, Zhiyuan Ou, Yongsheng Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen China

ISBN: (纸本)9789819927883

Human skin can accurately sense subtle changes of both normal and shear forces. However, tactile sensors applied to robots are challenging in decoupling 3D forces due to the inability to develop adaptive models for complex soft materials. Therefore, a new soft tactile sensor has been designed in this paper to detect shear and normal forces, including a soft probe and image acquisition device. First, to capture the deformation of the sensor, colored silicone squares were embedded in the soft probe. Capcamera movement of the colored squares under external forces. The image dataset collected at different 3D forces is then input into a deep learning model. Finally, a custom miniature image device is acquired and embedded in the soft probe to miniaturize the sensor. Computing results obtained from experimental datasets show that the proposed method can accurately decouple the 3D forces. Robots can grap vulnerable objects with sensors prepared at the robot’s tip. The tactile sensors studied in this paper are expected to be applied in robotics fields such as adaptive grasping, dexterous manipulation and human-computer interaction. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Probes

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Evolution Design Methodology of the Metamorphic Mechanisms Inspired by Gene Deduction

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Journal of Mechanical Design 2025年第8期147卷 083302页

作者： Zhang, Yang Xu, Peng Li, Bing Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong School of Robotics and Advanced Manufacture Harbin Institute of Technology Shenzhen 518052 China

This article proposes an evolutionary design method for metamorphic mechanisms inspired by gene deduction. First, the correlations between biological evolution and mechanical evolution, biological systems and mechanical systems, and genes and mechanisms are revealed. There are many similarities between biology and mechanism. Biological principles can be applied to the study and design of the mechanisms to adapt well to tasks and environments. The correlation between genetic operation and mechanical design is developed. The selection operator, recombination operator, and mutation operator of the mechanisms are deduced by inspiring genes. To verify the rationality of these operators, they are used to construct 5R (revolute joints) overconstrained closed-loop linkage, 6R metamorphic closed-loop linkage, 7R deployable closed-loop linkage, and 2RP (prismatic joint) RR metamorphic parallel mechanism (MPM). The mobilities of these mechanisms are analyzed via the atlas method. Finally, the evolutionary design method of MPMs is introduced and used to design the mechanisms with 2R1T (two rotation one translation) and 1R2T modes, which verify the effectiveness of the method. The proposed evolutionary design method provides a new theoretical tool for the design of metamorphic single-loop and parallel mechanisms.

关键词： bio-inspired design Chain Design methodology evolution design Design Parallel mechanisms Kinematics metamorphic mechanisms single-loop/parallel mechanisms Kinematic chains gene deduction atlas method Biology Bifurcation

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Superpixel Based Segmentation of Historical Document Images Using a Multiscale Texture Analysis 8th

Superpixel Based Segmentation of Historical Document Images ...

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8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunication, SETIT 2018

作者： Soyed, Emna Chaieb, Ramzi Kalti, Karim LATIS - Laboratory of Advanced Technology and Intelligent Systems ENISo Sousse University Sousse Tunisia

ISBN: (纸本)9783030210045

In this paper, a superpixel based segmentation of Historical Document Images (HDIs) using multiscale texture analysis is proposed. A Simple Linear Iterative Clustering (SLIC) superpixel technique and Kmeans classifier are applied in order to separate the input image into background and foreground superpixels. The foreground superpixels are characterized by the standard deviation and the mean of the Gabor features. These features are extracted in a multiscale fashion to adapt to the variability of the textures that may be present in HDIs. Text/graphic separation is then performed by applying a classification of the foreground superpixels for each texture analysis scale followed by a merging step of the obtained classification results. Since the classification results depend on the used classifier, a comparative study is performed for supervised (Support Vector Machine (SVM), K-Nearest Neighbors (KNN)) and unsupervised (Kmeans, Fuzzy C-Means (FCM)) techniques. Experiments show the effectiveness of our proposed method especially when compared with similar work in the literature. © 2020, Springer Nature Switzerland AG.

关键词： Superpixels

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Medical image registration and its application in retinal images:a review

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Visual Computing for Industry,Biomedicine,and Art 2024年第1期7卷 142-164页

作者： Qiushi Nie Xiaoqing Zhang Yan Hu Mingdao Gong Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Singapore Eye Research Institute Singapore 169856Singapore State Key Laboratory of Ophthalmology Optometry and Visual ScienceEye HospitalWenzhou Medical UniversityWenzhou 325027China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse informa-tion of images,which may be captured under different times,angles,or *** several surveys have reviewed the development of medical image registration,they have not systematically summarized the existing med-ical image registration *** this end,a comprehensive review of these methods is provided from traditional and deep-learning-based perspectives,aiming to help audiences quickly understand the development of medical image *** particular,we review recent advances in retinal image registration,which has not attracted much *** addition,current challenges in retinal image registration are discussed and insights and prospects for future research provided.

关键词： Computer-aided diagnosis Medical image registration Deep learning Generative model Transformer Retina

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Voltage Balance Control of Five-Level Cascaded H-Bridge Rectifier-Based Smart Transformer

Voltage Balance Control of Five-Level Cascaded H-Bridge Rect...

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International Renewable Energy Congress

作者： Hiba Helali Adel Khedher Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie

ISBN: (纸本)9781665488983

The Smart Distribution Grid (SDG) applications have a high potential to improve the power system performance under the high penetration of distributed energy resources. Nevertheless, the conventional transformer (CT), which is the most important component of the distribution system, cannot fulfill the SDG requirement. In this regard, the modular smart transformer (ST) has emerged as a promising alternative to CT in the SDG. The structure of this transformer includes power conversion stages and multiple DC buses on the Medium Voltage (MV) and Low Voltage (LV) sides. This paper proposes an ST model based on a five-level Cascaded H-Bridge (CHB) rectifier in the MV AC-DC power conversion stage, six dual active bridge converters in the high-frequency DC-DC power conversion stage, a three-phase four-leg inverter in the LV DC-AC power conversion stage, and six DC buses on the MV and LV side, for SDG applications. The use of the four-leg inverter in the ST model enables to improve the quality of the grid voltage, minimize the neutral current and provide power supply for a three-phase or single-phase load. Moreover, a voltage balance control for the CHB rectifier is presented in this paper to eliminate the voltage unbalance problems in DC buses and improve the ST performance. Finally, the simulation results verify the good performance of the proposed control system.

关键词： Simulation Soft switching Rectifiers Power system stability Transformers Control systems Inverters

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