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12th International Conference on CYBER technology in Automation, Control, and intelligent systems, CYBER 2022

作者： Zuo, Guoyu Liu, Yan Huang, Gao Gong, Daoxiong Faculty of Information Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing100124 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing100081 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

The challenge in image-based visual servoing is to deal with the visibility constraints, which require the image features to always remain in the field of view (FOV) of the camera. In this paper, a novel constraint function is proposed to address this problem. The FOV constraint function represented by the coordinates of the features and the region boundaries defined in the image is added to the classical proportional controller, which leads the image features from the margin to the center of the image. Simulation results verify the efficiency of the modified controller by controlling a robot manipulator with eye-in-hand configuration. © 2022 IEEE.

关键词： Robot applications

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ResFFont: Few-Shot Font Generation based on Reversible Network 43

ResFFont: Few-Shot Font Generation based on Reversible Netwo...

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43rd Chinese Control Conference, CCC 2024

作者： Ju, Chuanying Zhang, Ziying Chen, Xin China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China China University of Geosciences School of Arts and Communication Wuhan430073 China

ISBN: (纸本)9789887581581

The technique of generating fonts with few-shot learning has become a popular research topic. The goal of this technique is to transform the source-to-target domain by using a small number of sample images to generate characters for new fonts. However, current research is limited by model frameworks and migration algorithms, which pose challenges for maintaining content integrity and stroke-level style consistency when generating Chinese characters. This paper proposes ResFFont, a reversible network-based model that uses a unique reversible framework and Global and Local Feature Fusion Module (GaLSFM) to ensure complete delivery of content information and stroke-level style consistency. The experimental results confirm the effectiveness and superiority of the ResFFont model, providing a new solution to the font generation problem. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Few-Shot Font Generation Reversible Network Style Transfer

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Accurate Prediction of Knee Joint Angles Using a Hybrid CNN-LSTM-Attention Network from Surface Electromyography

Accurate Prediction of Knee Joint Angles Using a Hybrid CNN-...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Wang, Zhuo Chen, Hui Yang, Fangliang Wang, Xiangyang Wu, Xinyu Chen, Chunjie Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781665481090

In various fields such as robotics, rehabilitation, biomechanics, human-machine interfaces, and clinical research, human motion prediction has extensive applications. A hybrid networks model based on Convolutional Neural Network-Long Short-Term Memory-Attention (CNN-LSTM-Attention) was employed in this paper to extract features from the high-dimensional space and time series of surface electromyography (sEMG) data for continuous prediction of knee angles. Five able-bodied subjects participated in the study, walking at a self-selected pace while six surface electromyography (sEMG) signals from muscles involved in knee flexion and extension, along with knee angles, were synchronously recorded. The performance was assessed using the root mean square error (RMSE), Pearson Correlation Coefficient (r), and coefficient of determination (R2) between estimated and measured knee joint angles. Compared to the CNN, LSTM, and CNN-LSTM algorithms, the adopted method estimated knee angles more accurately, achieving an average RMSE, ρ, and R2 of 3.09± 0.90,\ 0.9911 ± 0.0052, and 0.9817± 0.0108, respectively. As the advance time increased, the accuracy of knee joint angle estimation decreased, particularly when the advance time reached 100 ms, at which point the RMSE is 4.83 degress. In addition, the computing time of the prediction model was less than 1 ms, which was shorter than the advance time 100 ms it could predict, thereby facilitating real-time computation in practical environments. Compared to previous studies, the proposed method excelled at extracting features directly from raw signals, avoiding the need for handcrafted feature extraction. Consequently, the model effectively achieved continuous and accurate predictions of joint motion angles and demonstrated potential to reduce latency in the human-machine interface. © 2024 IEEE.

关键词： Clinical research

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Resonance Identification and Attenuation for EMC Study in AC-HERIC Topology

Resonance Identification and Attenuation for EMC Study in AC...

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International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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

ISBN: (纸本)9781665482622

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.

关键词： Network topology Frequency-domain analysis Electromagnetic interference Switches Predictive models Transformers Topology

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Orderly defective superstructure for enhanced pseudocapacitive storage in titanium niobium oxide

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Nano Research 2022年第2期15卷 1570-1578页

作者： Le Yang Jinfeng Zeng Lei Zhou Ruiwen Shao Wellars Utetiwabo Muhammad Khurram Tufail Saisai Wang Wen Yang Jiatao Zhang 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 and Institute of convergence in medicine and engineering Beijing institute of technologyBeijing 100081China Key Laboratory of Active Components of Xinjiang Natural Medicine and Drug Release Technology School of PharmacyXinjiang Medical UniversityUrumqi 830011China

Artificial defect engineering in transition metal oxides is of important terms for numerous *** the present work,we proposed an in-situ gas reduction strategy to introduce ordered defects into titanium niobium oxide embedding on vapor grew carbon fibers(Ti_(2)Nb_(10)O_(29-x)@VGCFs).High-resolution transmission electron microscopy(HRTEM)and fast Fourier transform(FFT)simulation indicate that the ordered oxygen defects locate at interval layers,which leads to a new superstructure in Ti_(2)Nb_(10)O_(29).The ordered defects could provide extra active sites for lithium-ion storage and modulate ionic migration,resulting an enhanced pseudocapacitive *** addition,the excellent structural stability of the superstructure was proved by in-situ HRTEM under a harsh electrochemical *** work provides a directly observation of orderly defective superstructure in transition metal oxide,and its functionality on electrochemistry was revealed.

关键词： Ti_(2)Nb_(10)O_(29) in-situ gas reduction ordered defect lithium-ion hybrid capacitor pseudocapacitance

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High Efficiency Crypto-Watermarking System Based on Clifford-Multiwavelet for 3D Meshes Security

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Computers, Materials & Continua 2022年第11期73卷 4329-4347页

作者： Wajdi Elhamzi Malika Jallouli Yassine Bouteraa Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Engineering and Sciences Higher School of Sciences and Technology of Hammam SousseUniversity of SousseSousse4011Tunisia LATIS Laboratory of Advanced Technology and Intelligent Systems University of SousseSousse4023Tunisie Control and Energy Management Laboratory(CEM Lab.) Ecole Nationale d Ingenieurs de Sfax(ENIS)Institut Superieur de Biotechnologie de Sfax(ISBS)University of SfaxSfax3038Tunisia

Since 3D mesh security has become intellectual property,3D watermarking algorithms have continued to appear to secure 3D meshes shared by remote users and saved in distant multimedia *** novelty of our approach is that it uses a new Clifford-multiwavelet transform to insert copyright data in a multiresolution domain,allowing us to greatly expand the size of the *** that,our method does two rounds of insertion,each applying a different type of Clifford-wavelet *** being placed into the Clifford-multiwavelet coefficients,the watermark,which is a mixture of the mesh description,source mesh signature(produced using SHA512),and a logo encrypted using the RSA(Ronald Shamir Adleman)technique,is encoded using *** the Least Significant Bit method steps,data embedding involves modulation and insertion ***,the watermarked mesh is reconstructed using the inverse Cliffordmultiwavelet *** to the utilization of a hybrid insertion domain,our technique has demonstrated a very high insertion rate while retaining mesh *** mesh is watermarked,and the extracted data is acquired in *** approach is also resistant to the most common types of *** findings reveal that the current approach improves on previous efforts.

关键词： Digital watermarking Clifford-multiwavelet transform Multiwavelet entropy LSB method RSA algorithm RSA algorithm Turbocode 3D multiresolution meshes

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Temporal Attention Convolution Network for Energy Time Series Forecasting 7

Temporal Attention Convolution Network for Energy Time Serie...

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7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Hu, Min Xu, Haijun Wang, Xiaohua Li, Liang Li, Hongbo Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei230009 China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei230009 China MediaTek Hefei230009 China

ISBN: (纸本)9781510656437

Energy time series are characterized by stochasticity, short-term periodicity, and long-term periodicity. Many traditional models such as the autoregressive model, Gaussian process regression are unable to capture the complex time relationships of energy time series. Recurrent neural networks (RNNs), which are widely used for energy time series forecasting, are prone to gradient disappearance or gradient explosion when processing a long sequence data. Thus, RNNs are failed to capture the complete information of the whole long sequence data. To extract complex irregular patterns of energy time series and selectively learn spatio-temporal features, a Temporal Attention Convolution Network (TACN) is proposed in this paper. This structure can extract spatial and temporal features of energy time series, which full filled with our demand. Firstly, to solve the problem that RNNs are prone to information loss when processing the long sequence data, a temporal convolutional network (TCN) is introduced. TCN enables the output to capture the complete information of the whole long sequence data. Then, to reinforce the TCN for extracting effective spatio-temporal features, Squeeze-and-Excitation Network (SENet), a module for computing channel attention, was introduced to this TCN structure. By applying this module, the ability of the acquisition of important channel information has been enhanced. Finally, to further improve the robustness of the model, an autoregressive linear module is constructed to capture the linear relationship among the variables. Experiments on the publicly available datasets Electricity and Solar-Energy show that compare with existing deep learning models, TACN achieves more ideal performance. © 2022 SPIE. All rights reserved.

关键词： Time series

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Remote platform for lung monitoring based on Electrical Impedance Tomography measurements 19

Remote platform for lung monitoring based on Electrical Impe...

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19th IEEE International Multi-Conference on systems, Signals and Devices, SSD 2022

作者： Hafsa, Mariem Bchir, Ons Bader, Oumaima Ben Amara, Najoua Essoukri Kanoun, Olfa Université de Sousse Ecole Nationale d' Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany University of Sousse National EngineeringSchool of Sousse Computer Engineering Department Sousse Tunisia

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

Electrical Impedance Tomography (EIT) is a non-invasive, non-ionizing medical imaging method that has been on the rise in biomedical field. For lung monitoring, electrodes are attached around patient's thorax. Several boundary voltages are measured on the surface of these electrodes, which result from the injection of a small alternating current. Based on these measurements, the inner conductivity distribution of the patient's lung can be determined and used for monitoring and diagnosis. EIT can be used for extended periods of time, which makes it ideal for continuous monitoring, especially for intensive care patients. Several stationary EIT-based lung monitoring platforms have been developed for this reason. In this work, however, we propose a web and cloud-based monitoring solution that allows remote access for the doctors and medical staff. The implemented solution provides real-time, continuous monitoring as well as a visualization of extracted lung features that aid the diagnosis, © 2022 IEEE.

关键词： Electrodes

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Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4966-4980页

作者： Liu, Boxun Gao, Shijian Yang, Zonghui Cheng, Xiang Yang, Liuqing Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Internet of Things Thrust Guangzhou511400 China Internet of Things Thrust Intelligent Transportation Thrust Guangzhou511400 China The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Department of Civil and Environmental Engineering SAR Hong Kong Hong Kong

Integrated sensing and communication (ISAC) emerges as a promising technology for 6G, particularly in the millimeter-wave (mmWave) band. However, the widely utilized hybrid architecture in mmWave systems compromises multiplexing gain due to the constraints of limited radio-frequency (RF) chains. Moreover, additional sensing functionalities exacerbate the impairment of spectrum efficiency (SE). In this paper, we present an optimized beam pattern modulation-embedded ISAC (BPM-ISAC) transceiver design, which spares one RF chain for sensing and uses the remaining ones for communication. To compensate for the reduced SE, index modulation across communication beams is applied. We formulate an optimization problem aimed at minimizing the mean squared error (MSE) of the sensing beampattern, subject to a symbol MSE constraint. This problem is then solved by sequentially optimizing the analog and digital parts. Both the multi-aperture structure (MAS) and the multi-beam structure (MBS) are considered in the analog part. We conduct theoretical analysis on the asymptotic pairwise error probability (APEP) and the Cramér-Rao bound (CRB) of direction of arrival (DoA) estimation. Numerical simulations validate the overall enhanced ISAC performance over existing alternatives. © 2025 IEEE. All rights reserved.

关键词： Mean square error

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Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC hightemperature pressure sensors

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Microsystems & Nanoengineering 2024年第5期10卷 231-242页

作者： Ziyan Fang Xiaoyu Wu Hu Zhao Xudong Fang Chen Wu Dong Zhang Zhongkai Zhang Bian Tian Libo Zhao Tiefu Li Prateek Verma Ryutaro Maeda Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi'an Jiaotong UniversityXi'an 710049China School of Mechanical Engineering Xi'an Jiaotong UniversityXi'an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing at Yantai Yantai 264000China Xi'an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and System Xi'anChina School of Instrument Science and Technology Xi'an Jiaotong UniversityXi'an 710049China School of Integrated Circuits Tsinghua UniversityBeijing 100084China Department of Chemical Engineering University of ArkansasFayettevilleAR72701USA

Due to the excellent mechanical,chemical,and electrical properties of third-generation semiconductor silicon carbide(SiC),pressure sensors utilizing this material might be able to operate in extreme environments with temperatures exceeding 300℃.However,the significant output drift at elevated temperatures challenges the precision and stability of ***-time in situ temperature monitoring of the pressure sensor chip is highly important for the accurate compensation of the pressure *** this study,we fabricate platinum(Pt)thin-film resistance temperature detectors(RTDs)on a SiC substrate by incorporating aluminum oxide(Al_(2)O_(3))as the transition layer and utilizing aluminum nitride(AIN)grooves for alignment through microfabrication *** composite layers strongly adhere to the substrate at temperatures reaching 950℃,and the interface of the Al2O3/Pt bilayer remains stable at elevated temperatures of approximately 950 *** stability contributes to the excellent high-temperature electrical performance of the Pt RTD,enabling it to endure temperatures exceeding 850℃ with good *** characteristics establish a basis for the future integration of Pt RTD in SiC pressure ***,tests and analyses are conducted on the interfacial diffusion,surface morphological,microstructural,and electrical properties of the Pt flms at various annealing *** can be inferred that the tensile stress and self-diffusion of Pt films lead to the formation of hillocks,ultimately reducing the electrical performance of the Pt thin-flm *** increase the upper temperature threshold,steps should be taken to prevent the agglomeration of Pt films.

关键词： resistance carbide film

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