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5th International Conference on Video, Signal and Image Processing, VSIP 2023

作者： Zhou, Binbin Wang, Qingyan Zhang, Junping Wang, Yujing School Of: Measurement-Control And Communication Engineering Harbin University Of Science And Technology Harbin150080 China School Of: Electronics And Information Engineering Harbin Institute Of Technology Harbin150001 China

ISBN: (纸本)9798400709272

In the face of complex scenes, single-modal dominant classification tasks encounter limitations in performance due to insufficient information. On the other hand, joint classification of multimodal remote sensing data faces challenges such as data sample differences and lack of correlation in physical features between modalities, which can impact classification performance. To fully integrate the heterogeneous information of multimodal data and improve classification performance, we propose a dual-channel cross-transformer feature fusion extraction network. The framework leverages self-attention mechanisms to aggregate features within each modality, and the feature fusion module based on cross-modal attention fully considers the complementary information between modalities. Classification tasks are performed using the fused spatial-spectral features obtained from the joint representation of modalities. Extensive experiments conducted on the Houston and MUUFL datasets demonstrate the effectiveness of the proposed model compared to existing methods. © 2023 ACM.

关键词： Classification (of information)

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Waveform Design for Wireless Powered and Backscatter Hybrid communication System

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Journal of communications and information Networks 2024年第4期9卷 309-319页

作者： Yuxin Ding Bin Rao Jie Hu School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

For the waveform design and research of wireless powered and backscatter hybrid communication system,it is crucial to balance energy harvesting with ensuring communication rate *** the communication needs of traditional users in the hybrid communication system is particularly *** this paper,we study the model of wireless powered and backscatter hybrid communication system,while also taking the traditional orthogonal frequency division multiplexing(OFDM)user system into *** jointly design the transmitting signal waveform and the backscatter signal waveform to ensure the communication performance of the traditional user while simultaneously enhancing the communication and energy transmission performance of the hybrid communication *** maximize the signal-to-noise ratio(SNR)at the receiver by jointly optimizing the amplitude and phase of the transmitted signal waveform from the radio frequency(RF)source and the reflection coefficient of the backscatter device(BD).Furthermore,we use geometric programming methods to solve the *** simulation results confirm the effectiveness of the proposed scheme.

关键词： backscatter communication wireless powered communication OFDM waveform optimization design

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Low Latency Soft Fiberoptic Choledochoscope Robot control System

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 43-52页

作者： ZHOU Hanwei ZHU Xinping MA Youwei WANG Kundong School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University200240ShanghaiChina Shanghai Aerospace Control Technology Institute Shanghai 201109China

Soft fiberoptic choledochoscope is an important tool for the diagnose and surgical treatment of biliary ***,the traditional soft fiberoptic choledochoscope is hard to operate,due to the low position *** on the conventional soft fiberoptic choledochoscope,an electrical soft fiberoptic choledochoscope robot with a low latency was *** order to improve the controllability of the conventional choledochoscope,the wire traction mechanism and the rotation mechanism are used to bend and rotate the scope,so as to control its movement *** dead band compensation model and control algorithm of the wire traction mechanism are developed to improve the accuracy of the orientation *** human-computer interaction system and complex motion control system are developed based on ARM embedded system and *** to the high-speed synchronization channel between FPGA and peripheral,the design of low latency whole-procedure surgical mode was established and *** with a micro image sensor,real-time video back transmission was *** performance of the robot prototype was verified by animal experiment in vivo on a *** robot has an extremely low operating latency of no more than 0.402 ms,and a high bending positioning accuracy of±1.43°error margin within 99.7%confidence interval,which guarantees the safety of biliary surgery.

关键词： soft fiberoptic choledochoscope electrical control low latency in vivo animal experiment

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Hardware-friendly rate estimation algorithm and architecture design for AVS3

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Multimedia Tools and Applications 2025年 1-19页

作者： Yan, Yunyao Xiang, Guoqing Chen, Jie Huang, Xiaofeng Zhang, Peng Jia, Huizhu Xie, Xiaodong School of Electronic and Computer Engineering Peking University Shenzhen China School of Computer Science Peking University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

To enhance the capabilities of advanced video coding for emerging applications, the AVS3 standard has been introduced to double the coding efficiency compared to its predecessor, the AVS2 standard. It incorporates sophisticated coding tools, such as advanced rate-distortion optimization (RDO), to select the optimal coding mode. The AVS3 standard further refines bit rate compression through Advanced Entropy Coding (AEC) within the RDO process. However, AEC demands significant computational resources due to its high data dependency and involves complex steps like binarization, context modeling, interval subdivision, renormalization, handling of outstanding bits, and context updating. Notably, the time complexity of AEC is predominantly due to context updating and interval subdivision, which are recursive and thus pose challenges for real-time applications, particularly in hardware implementations. Addressing these challenges, this paper introduces an adaptive rate estimation algorithm using a hardware-friendly piece-wise linear function to expedite bit rate calculations for AVS3 applications. Initially, we develop a linear rate estimation method based on the statistics of bin numbers. To preserve high coding performance, we further propose an adaptive model parameter updating method that adjusts weights dynamically based on varying video content. Building on this fast rate estimation algorithm, we propose a high-throughput hardware architecture that incorporates pipelining and parallelization to meet the stringent real-time requirements for 4K@120fps ultra-high-definition video at 200 MHz, with only a minimal increase in BD-rate by 1.06% under the All-Intra (AI) configuration. To our knowledge, this is the pioneering study focusing on hardware-oriented rate estimation for the AVS3 standard, marking a significant advancement in the field of video coding technology. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

关键词： Video signal processing

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Quantum walk search algorithm for multi-objective searching with iteration auto-controlling on hypercube

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Chinese Physics B 2022年第4期31卷 157-162页

作者： Yao-Yao Jiang Peng-Cheng Chu Wen-Bin Zhang Hong-Yang Ma School of Science Qingdao University of TechnologyQingdao 266033China School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China

Shenvi et *** proposed a quantum algorithm based on quantum walking called Shenvi-Kempe-Whaley(SKW)algorithm,but this search algorithm can only search one target state and use a specific search target state ***,when there are more than two target nodes in the search space,the algorithm has certain *** though a multiobjective SKW search algorithm was proposed later,when the number of target nodes is more than two,the SKW search algorithm cannot be mapped to the same quotient *** addition,the calculation of the optimal target state depends on the number of target states *** previous studies,quantum computing and testing algorithms were used to solve this *** these solutions require more Oracle calls and cannot get a high accuracy ***,to solve the above problems,we improve the multi-target quantum walk search algorithm,and construct a controllable quantum walk search algorithm under the condition of unknown number of target *** dividing the Hilbert space into multiple subspaces,the accuracy of the search algorithm is improved from p_(c)=(1/2)-O(1/n)to p_(c)=1-O(1/n).And by adding detection gate phase,the algorithm can stop when the amplitude of the target state becomes the maximum for the first time,and the algorithm can always maintain the optimal number of iterations,so as to reduce the number of unnecessary iterations in the algorithm process and make the number of iterations reach t_(f)=(π/2)(?).

关键词： multi-objective quantum walk search algorithm accurate probability

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Turbulent drag reduction by sector-shaped counter-flow dielectric barrier discharge plasma actuator

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Chinese Physics B 2025年第2期34卷 362-370页

作者： Borui Zheng Shaojie Qi Minghao Yu Jianbo Zhang Linwu Wang Dongliang Bian School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048China Shaanxi University Key Laboratory of Photonic Power Devices and Discharge Regulation Xi’an 710048China

The primary objective in aircraft transportation is to minimize turbulent drag, thereby conserving energy and reducing emissions. We propose a sector-shaped counter-flow dielectric barrier discharge plasma actuator, which leverages jet synthesis for drag reduction. A drag control experiment was conducted in a low-speed wind tunnel with a controlled flow velocity of 9.6 m/s(Re = 1.445 × 10^(4)). This study investigated the effects of varying pulse frequencies and actuation voltages on the turbulent boundary layer. Using a hot-wire measurement system, we analyzed the pulsating and time-averaged velocity distributions within the boundary layer to evaluate the streamwise turbulent drag reduction. The results show that the local TDR decreases as the pulse frequency increases, reaching a maximum reduction of approximately 20.97% at a pulse frequency of 50 Hz. In addition, as the actuation voltage increases, the friction coefficient decreases, increasing the drag reduction rate. The maximum drag reduction of approximately 33.34% is achieved at an actuation voltage of 10 kV.

关键词： plasma flow control turbulent boundary layer turbulent drag reduction

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Extraction of Complex Sentence Relationships Based on Formalized Chinese Clause Structures 7

Extraction of Complex Sentence Relationships Based on Formal...

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7th International Conference on Machine Learning and Natural Language Processing, MLNLP 2024

作者： Hao, Wen School of Information and Control Engineering Xi'an University of Architecture Technology Xi'an710055 China

ISBN: (纸本)9798350354973

In the field of relation extraction (RE) from text, English clause structures have recently emerged as a promising method with significant practical value. However, applying this approach to Chinese clauses presents challenges due to the absence of formal structural representation. Our research shows that Chinese clauses follow a conditional probability function of the core relation P, which can be expressed as C = (S|P, O|P, SO|P), demonstrating a formal structural characteristic of discrete complementary synthesis. Notably, the O|P structure, with a high conditional probability, accounts for 79% of cases, serving as the core of complex sentence relations in Chinese. This sharply contrasts with the structural features of English clauses. Building on this, we propose the Discrete Complementary Synthesis Formal Structure (DCSFS) clause unit model. This model is employed to analyze and verify the role of the clause unit as the fundamental encoding element in Chinese sentences. Accordingly, we develop a method for automatically extracting semantic relations from complex Chinese sentences using this formalized clause unit model. Experimental results show that our approach outperforms existing punctuation-based clause determination methods and effectively addresses the challenges of extracting complex sentence relations from Chinese texts. © 2024 IEEE.

关键词： Semantics

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Dual-Path Dilated Convolutional Recurrent Network with Group Attention for Multi-Channel Speech Enhancement 48

Dual-Path Dilated Convolutional Recurrent Network with Group...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Cheng, Jiaming Pang, Cong Liang, Ruiyu Fan, Jingjie Zhao, Li Southeast University School of Information Science and Engineering China Nanjing Institute of Technology School of Information and Communication Engineering China

ISBN: (纸本)9781728163277

This paper proposes a dual-path convolutional recurrent network with group attention for ICASSP Signal Processing Grand Challenge: L3DAS23 Challenge. We design a structure based on convolutional encoder-decoder, and frequency-time blocks based on group attention are introduced in the middle. The encoder is used to extract the local representation from the complex spectrum, the correlation along the frequency axis and the time axis are captured through groups of time-frequency processing modules and the key information in the feature flow is extracted by the group attention. As a result, our system ranks the 1st place of the 3D speech enhancement task in L3DAS23 Challenge, and significantly outperforms the baseline, while achieving 0.101 WER and 0.902 STOI on the blind test-set. © 2023 IEEE.

关键词： deep learning frequency-time block group attention multi-channel speech enhancement speech enhancement

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An artificial systems,computational experiments and parallel execution-based surface electromyogram-driven anti-disturbance zeroing neurodynamic strategy for upper limb human-robot interaction control

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CAAI Transactions on Intelligence technology 2024年第2期9卷 511-525页

作者： Yongbai Liu Keping Liu Gang Wang Jiliang Zhang Yao Chou Zhongbo Sun Department of Mechanical Engineering Changchun University of TechnologyChangchunChina Department of Control Engineering Changchun University of TechnologyChangchunChina School of Electrical and Information Engineering Jilin Engineering Normal UniversityChangchunChina College of Information Science and Engineering Northeastern UniversityShenyangChina Department of Electrical and Computer Engineering Brigham Young UniversityProvoUtahUSA

In recent years,intelligent robots are extensively applied in the field of the industry and intelligent rehabilitation,wherein the human-robot interaction(HRI)control strategy is a momentous part that needs to be ***,the efficacy and robustness of the HRI control algorithm in the presence of unknown external disturbances deserve to be *** deal with these urgent issues,in this study,artificial systems,computational experiments and a parallel execution intelligent control framework are constructed for the HRI *** upper limb-robotic exoskeleton system is re-modelled as an artificial *** on surface electromyogram-based subject's active motion intention in the practical system,a non-convex function activated anti-disturbance zeroing neurodynamic(NC-ADZND)controller is devised in the artificial system for parallel interaction and HRI control with the practical ***,the linear activation function-based zeroing neurodynamic(LAF-ZND)controller and proportionalderivative(posterior deltoid(PD))controller are presented and *** results substantiate the global convergence and robustness of the proposed controller in the presence of different external *** addition,the simulation results verify that the NC-ADZND controller is better than the LAF-ZND and the PD controllers in respect of convergence order and anti-disturbance characteristics.

关键词： neural network pattern recognition robotics signal processing

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An Energy Management System with Mobile Energy Station Based Wireless Energy Transfer:System Design and Prototype Implementation

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China communications 2025年第1期22卷 89-101页

作者： Yan Kang Li Jinhui Fan Xinyu Hu Jie Yu Qin Yang Kun Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

In indoor environments,various batterypowered Internet of Things(IoT)devices,such as remote controllers and electronic tags on high-level shelves,require efficient energy ***,manually monitoring remaining energy levels and battery replacement is both inadequate and *** paper introduces an energy management system for indoor IoT,which includes a mobile energy station(ES)for enabling on-demand wireless energy transfer(WET)in radio frequency(RF),some energy receivers(ERs),and a cloud *** implementing a two-stage positioning system and embedding energy receivers into traditional IoT devices,we robustly manage their energy *** experimental results demonstrate that the energy receiver can harvest a minimum power of 58 mW.

关键词： angle of arrival(AOA) Internet of Things(IoT) mobile station prototype wireless energy transfer(WET)

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