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International Conference on Image, Vision and Computing (ICIVC)

作者： Yujie Gao Yadong Li Bin Liu Yifan Tian Minfeng Zhu Jian Luo School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Control Theory &Applications in Complicated System Tianjin University of Technology Tianjin China

Sign language plays an important role in information transmission and emotional communication between the hearing-impaired and the outside world. It is expressed through a rapid and complex combination of gestures, body postures and facial expressions. In this paper, Google's MediaPipe framework is used to extract and process key point information of hands. Depth features are used to supplement the RBG diagram. A framework of skeleton sensing multi-modal recognition suitable for complex scenes is proposed. This can be used to deal with the problem of sign language recognition of multi-modal information in different scenes. However, most of the existing sign language recognition methods are traditional convolutional networks and LSTM. Although they have excellent achievements in image recognition and video recognition, their application in sign language recognition does not conform to the characteristics of sign language. In this paper, a Swin Transformer model is used to process both depth information and RGB information. Finally, statistical data fusion method was used to fuse the depth prediction results with RGB prediction results. Experimental analysis shows that this method performs well in sign language recognition in complex scenes compared with existing methods.

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Inverse Problem of Ultrasound Beamforming With Non-Local Structure Tensor Total Variation

Inverse Problem of Ultrasound Beamforming With Non-Local Str...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Zhiyuan Li Hervé Liebgott Yue Zhao François Varray CNRS Inserm CREATIS UMR 5220 U1294 INSA-Lyon Universite Claude Bernard Lyon 1 Lyon France Control Theory and Engineering School of Astronautics Harbin Institute of Technology Harbin China

ISBN: (数字)9798350387384

ISBN: (纸本)9798350387391

The inverse problem of ultrasound beamforming has recently emerged as a novel imaging method, attracting growing interest from the research community. Inverse problems in ultrasound beamforming hypothesize that the received signal is linearly correlated with the beamformed image. Based on this assumption, a minimization problem comprises a fidelity term derived from the linear model and a regularization term that considers prior information about the underlying image. This study introduces the non-local structure tensor total variation as the regularization term to exploit the image’s local geometry and non-local self-similarity properties. Such regularization can also preserve the edge or orientation of an image. The simulation results demonstrate that using a single plane wave, the proposed method can achieve a spatial resolution of 0.34 mm full-width at half-maximum, a contrast-to-noise ratio of 16.82 dB, and a generalized contrast-to-noise ratio of 0.99.

关键词： Geometry Ultrasonic imaging Tensors Array signal processing Inverse problems Simulation Image edge detection Minimization Spatial resolution Image reconstruction

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Research progress of magnetic materials in microbial fuel cell applications 3

Research progress of magnetic materials in microbial fuel ce...

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3rd International Conference on Environmental Prevention and Pollution control Technologies, EPPCT 2021

作者： Yao-Zhao Jing-Zhang Yuqing-Peng Naiqing-Sha Yanhong-Li School of Environmental Science and Engineering Guilin University of Technology Guilin Guangxi China Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Guilin Guangxi China

As a new type of environmental protection technology that can treat sewage and generate electricity, microbial fuel cells (MFC) have broad research prospects. In recent years, MFC has made great breakthroughs, but its high internal resistance and low power generation efficiency have prevented its development. Researchers began to study the influence of magnetic fields on the MFC power generation efficiency to improve the power generation efficiency, and the results are gratifying. This shows that magnetic materials may be the solution to push MFC to practical applications. This article briefly introduces the research progress of magnetic materials as the additional structure of MFC and MFCs electrode materials, and discusses the role and influence of magnetotactic bacteria in MFC. © Published under licence by IOP Publishing Ltd.

关键词： Microbial fuel cells

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Multi-Feature Fusion Transformer for Natural Language Inference

Multi-Feature Fusion Transformer for Natural Language Infere...

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Robotics, Intelligent control and Artificial Intelligence (RICAI), International Conference on

作者： Lei Sun Xiangyang Li Hengxin Yan Tianj in Key Laboratory for Control Theory and Complicated Industry Systems School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

Natural Language Inference (NLI) is a branch of Natural Language Processing (NLP) whose main task is to determine the relationship between two sentences. Such tasks essentially use pre-trained models to ensure accuracy, and many applications are found in human-computer dialog and question-answering systems. However, in some cases where small devices are deployed offline, lightweight model implementations are often required to save computational resources. To address this problem and ensure more efficient inference capabilities, this paper describes how to improve the preexisting Transformer and proposes a Multi-Feature Fusion Transformer Network for NLI processing. The model integrates sequence features and introduces a priori information to enhance local features. It also achieves a comprehensive fusion of sequence information, local features, and non-local features, thus compensating for many potential shortcomings of Transformer. At the same time, it maintains the lightweight feature of the model and facilitates the implementation of downstream tasks. We verified the above point by experiments, our model has better inference performance compared to previous models used for the same task. The accuracy in the SNLI dataset reached 89.0%, while the matched and mismatched versions of MultiNLI reached 79.3% and 78.7%.

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High-order robust dynamic surface control for uncertain nonlinear systems based on fully actuated system approach

High-order robust dynamic surface control for uncertain nonl...

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Fully Actuated System theory and Applications (CFASTA), Conference on

作者： Yongqiang Xiao Guangbin Cai Mingzhe Hou Xunliang Yan Department of Missile Engineering Rocket Force University of Engineering Xi’an China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Astronautics Northwestern Polytechnic University Xi’an China

In this paper, a robust dynamic surface control method is designed for high-order strict feedback systems with nonlinear uncertainties. Based on the idea of dynamic surface control, a series of first-order low-pass filters are introduced to obtain the derivative of the virtual control law, and the controller is designed directly for each higher-order subsystem without converting it into the first-order one, hence is more concise and efficient. It is proved by the Lyapunov stability theory that the tracking error can converge to a small domain around zero. The effectiveness of the proposed algorithm is also verified by a simulation with the flexible joint robotic arm system.

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Vehicle Classification in Intelligent Transportation Systems Using Deep Learning and Seismic Data 20

Vehicle Classification in Intelligent Transportation Systems...

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20th IEEE International Conference on Intelligence and Security Informatics, ISI 2023

作者： Hashima, Sherief Saad, Mohamed H. Hatano, Kohei Rizk, Hamada Computational Learning Theory Team RIKEN-AIP Fukuoka819-0395 Japan Egyptian Atomic Energy Authority Engineering Dept Cairo13759 Egypt Egyptian Atomic Energy Authority Ncrrt Radiation Engineering Dept Cairo Egypt Kyushu University Department of Informatics Fukuoka819-0395 Japan Graduate School of Information Science and Technology Osaka University Suita565-0871 Japan Tanta University Computer and Control Engineering Department Tanta31733 Egypt

ISBN: (纸本)9798350337730

Intelligent transportation systems have become increasingly important for efficient traffic management and road safety. Vehicle classification is a fundamental task in these systems, enabling various applications such as traffic monitoring, congestion management, and accident prevention. Traditional methods for vehicle classification heavily rely on visual or sensor-based data, such as images or radar signals. However, these methods may encounter limitations in adverse weather conditions, poor lighting, or occlusion scenarios. To address these limitations, this paper introduces a novel approach for vehicle classification using seismic data, which captures the vibrations generated by vehicles and is less susceptible to environmental factors. The proposed approach leverages the fractional wavelet domain to extract both time and frequency signatures of vehicles from the seismic data effectively. These signatures are then used to train a recurrent neural network that captures the temporal features of the input, thereby facilitating vehicle classification. Additionally, the proposed approach incorporates various modules to improve the generalization and robustness of the deep model against noise. The implementation of the proposed approach on realistic data demonstrated its ability to classify vehicles with an accuracy of 98%, improving upon the state-of-the-art techniques. © 2023 IEEE.

关键词： Vehicles

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Consensus of Uncertain Euler-Lagrange Multi-agent Systems under Switching Digraphs and Disturbances

Consensus of Uncertain Euler-Lagrange Multi-agent Systems un...

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Automation, control and Robotics engineering (CACRE), International Conference on

作者： Lei Ju Zhiwei Wang Anqing Wang Xiaotong Zhou College of Marine Electrical Engineering Dalian Maritime University Dalian China College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China

This paper focuses on exploring the problem of achieving leader-follower consensus in uncertain Euler-Lagrange multi-agent systems, which are subjected to disturbance, and operate on switched digraph. To be more precise, the system dynamics are characterized by uncertainties that can be linearly parameterized, and the disturbances that are considered are those originating from the leader system. A novel adaptive distributed control strategy is proposed to overcome the difficulties of suppressing disturbances and achieving consistency under the condition of joint connectivity of switched digraphs. By using Lyapunov stability theory and the generalized Barbalat's lemma, it is proved that the uncertain Euler-Lagrange multi-agent systems achieves state consensus asymptotically with the proposed distributed adaptive control protocol. The efficacy of the adaptive distributed control strategy proposed in the paper is validated by presenting a case study involving a system composed of four double-link manipulators.

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Simulation of High-Definition Pixel-Headlights 15th

Simulation of High-Definition Pixel-Headlights

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15th International Symposium on Visual Computing, ISVC 2020

作者： Waldner, Mirko Bertram, Torsten TU Dortmund University Institute of Control Theory and Systems Engineering Dortmund Germany

ISBN: (纸本)9783030645557

This contribution presents a novel algorithm for real-time simulation of adaptive matrix- and pixel-headlights for motor vehicles. The simulation can generate the light distribution of a pair of pixel-headlamps with a resolution of more than one and a half million matrix-elements per light module in real-time. This performance is achieved by dividing the superposition process of the matrix-light-sources into an offline and an online part. The offline part creates a light database that is used by the online component to generate the illumination in memory access efficient way. For an ideal pixel-headlight the run-time of the approach is nearly constant by increasing the number of matrix-lights. This contribution evaluates the visual quality of the simulation. It also presents the changes in the run-time for different pixel-headlamp resolutions and solid angle discretizations. © 2020, Springer Nature Switzerland AG.

关键词： Headlights

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Computation and analysis of aero-optic imaging deviation of a blunt nosed aircraft with Mach number 0.5—3

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Optoelectronics Letters 2023年第1期19卷 55-59页

作者： XU Liang ZHAO Shiwei XUE Wei WANG Tao Tianjin Key Laboratory for Control Theory&Applications in Complicated Systems School of Electrical Engineering and AutomationTianjin University of TechnologyTianjin300384China China Academy of Aerospace Science and Innovation Beijing100083China School of Intelligent Engineering Sun Yat-sen UniversityGuangzhou510275China

Aero-optic imaging is a kind of optical effect,which describes the imaging deviation on the imaging *** this paper,the effect of the change of Mach number of blunt aircraft on the aero-optic imaging deviation is *** imaging deviations of Mach number 0.5—3 are analyzed *** results show that with the increase of Mach number,imaging deviation increases gradually,and the increase rate is gradually *** deviation slope decreases gradually with the increase of Mach number,and gradually tends to be zero,suggesting that imaging deviation is not sensitive to the change of the larger Mach *** other words,the Mach number of smaller changes can lead to larger imaging *** the Mach number of the aircraft increases,the slope of the imaging offset tends to be closer and closer to *** the Mach number of the aircraft increases to a certain extent,the change of the imaging offset will not have much ***,in order to reduce the impact of flight speed on imaging migration,the aircraft should fly at a higher Mach number.

关键词： deviation closer number

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The Future of Beyond 5G Sensing: Transforming Activity Recognition with Reconfigurable Intelligent Surfaces

The Future of Beyond 5G Sensing: Transforming Activity Recog...

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Activity and Behavior Computing (ABC), International Conference on

作者： Sherief Hashima Hamada Rizk Hirozumi Yamaguchi Computational Learning Theory Team RIKEN-AIP Fukuoka Japan Engineering Dept Egyptian Atomic Energy Authority Cairo Egypt Graduate School of Information Science and Technology Osaka University Suita Japan Computer and Control Engineering Department Tanta University Tanta Egypt

ISBN: (数字)9798350375503

ISBN: (纸本)9798350375510

The advent of Beyond 5G (B5G) and the anticipated arrival of 6G have spurred a remarkable impact on various aspects of human life. Next-generation Human Activity Recognition (HAR) systems are poised to advance healthcare, create smart environments, and enhance overall well-being. The imperative for next-gen HAR systems lies in their capability to be intelligent, privacy-preserving, and deeply accurate. These systems, leveraging the cutting-edge capabilities of B5G and 6G, such as Re-configurable Intelligent Surface (RIS), aim to revolutionize the monitoring process and intelligently discern various human activities. Hence, this paper introduces BSgActiv, a smart RIS-enhanced HAR system. BSgActiv utilizes fractional wavelet transform to effectively highlight time and frequency features of activities from the measured channel state information (CSI) reflected from RIS. Afterward, these features are utilized to train a recurrent neural network that records the temporal characteristics of the input, hence promoting activity recognition. Moreover, BSgActiv integrates diverse modules that enhance the deep model's overall observation and ability to withstand and perform well in the presence of noise. BSgActiv evaluations contain two different realistic scenarios, including both non-line-of-sight and multi-floor setups, proofing its efficacy. Particularly, BSgActiv overcomes benchmark techniques and delivers an activity recognition accuracy of 89.7%.

关键词： 6G mobile communication Wavelet transforms Time-frequency analysis Accuracy 5G mobile communication Reconfigurable intelligent surfaces Feature extraction

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