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2023 International Conference on Smart Transportation and City Engineering, STCE 2023

作者： Li, Saisai Beijing Key Laboratory of urban road transportation intelligent control technology North China University of technology Beijing100144 China

ISBN: (纸本)9781510673540

To alleviate the conflict problem between right-turning vehicles and crossing pedestrians at signal intersections, this paper uses the right-turn delayed release behavior control strategy to analyze the intersection's pedestrian-vehicle conflict characteristics, selects the delay and the number of conflicts as evaluation indexes for efficiency and safety, and uses the entropy weighting method for weighting to establish comprehensive indexes, so as to explore the changes of comprehensive index scores under different pedestrian and right-turning traffic, and finally in VISSIM simulation software, through the COM interface using python programming language for its secondary development, build the intersection conflict environment for simulation experiments, and analyze the simulation results. The results show that when the right-turn flow is between 200 pcu/h and 500 pcu/h and the two-way pedestrian crosswalk flow is not less than 400 ped/h, the composite index scores are improved after setting the right-turn delayed release phase. © 2024 SPIE.

关键词： Vehicles

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Detachment Behavior of Gecko Toe in Functional Strategies for Bionic Toe

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Journal of Bionic Engineering 2024年第2期21卷 707-717页

作者： Qingfei Han Wei Wang Huan Shen Xincheng Feng Haoran Zhang Qian Li Yi Sun Huapeng Wu Aihong Ji Lab of Locomotion Bioinspiration and Intelligent Robots College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing210016China Laboratory of Intelligent Machines School of Energy SystemsLappeenranta-Lahti University of Technology53850LappeenrantaFinland State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China

Geckos can efficiently navigate complex terrains due to their multi-level adhesive system that is present on their *** setae are responsible for the gecko’s extraordinary adhesion and have garnered wide attention from the scientific *** majority of the reported works in the literature that have dealt with the peeling models mainly focus on the gecko hierarchical adhesive system,with limited attention given to investigating the influence of gecko toe structure on the *** these lines,to gain a deeper understanding of the rapid and effortless detachment abilities of gecko toes,the peeling behavior of gecko toes on vertical surfaces was primarily investigated in this *** specifically,the detachment time of a single toe on a smooth acrylic plate was measured to be 0.41±0.21 ***,it was observed that the toe assumed a"U"-shaped structure upon complete ***,Finite Element Analysis(FEA)models for three different types of gecko toes were developed to simulate both the displacement-peel and the moment-peel *** the segmentation of the adhesive layer led to a gradual decrease in the resultant force,as well as the normal and tangential ***,a gecko-inspired toe model was constructed and powered by Shape Memory Alloy(SMA).A systematic comparison between the vertical drag separation and the outward flip separation was also *** our analysis,it was clearly demonstrated that outward peel separation significantly necessitated the reduction of the peeling force,thus confirming the advantageous nature of the outward motion in gecko toe *** data not only contribute to a deeper understanding of the gecko detachment behavior but also offer valuable insights for the advancement of the wall-climbing robot feet.

关键词： Gecko toes Detachment behavior Finite element analysis Gecko-inspired toe

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Motor imagery EEG signals classification based on attention mechanism and EEGNet

Motor imagery EEG signals classification based on attention ...

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2024 International Conference on Future of Medicine and Biological Information Engineering, MBIE 2024

作者： Song, Yaru Qin, Yingmei Li, Shanshan Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education Tianjin300350 China

ISBN: (纸本)9781510682825

Brain-computer interface technology (BCI) enables users to directly control external devices by establishing an information transmission path between the brain and external devices. Brain-computer interfaces based on the motor imagination paradigm have also begun to enter various fields. Therefore, the research on the brain-computer interface encoding and decoding algorithm of the motor imagination paradigm is particularly important. This paper proposes a model based on attention mechanism CBAM and EEGNet to classify motor imagination electroencephalogram signals (MI-EEG), and verified it on a public data set. Compared with a single EEGNet model, it improved by 3.7%, which is 8.1% higher than the traditional FBCSP model. The experimental results show the effectiveness of the new CBAM-EEGNet model on the four classification tasks of motor imagery. © 2024 SPIE.

关键词： Electroencephalography

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Contextual feature aggregation pyramid vision transformer for polyp segmentation

Contextual feature aggregation pyramid vision transformer fo...

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2024 International Conference on Future of Medicine and Biological Information Engineering, MBIE 2024

作者： Lin, Ziwei Zhang, Kaiyue Li, Shanshan Qin, Qing Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education Tianjin300350 China

ISBN: (纸本)9781510682825

Polyp segmentation has consistently been a difficult task because of the varying sizes of polyps and the significant intrinsic similarity between polyps and the surrounding tissues. To address the above problems, a contextual feature aggregation polyp segmentation algorithm combining Transformer and convolution is proposed. Firstly, the Pyramid Vision Transformer is used to extract image global features, and the stage bridging module(SBM) is employed to enhance the ability of the network to handle polyp details and aggregate high-level polyp features. Subsequently, a feature enhancement module (FEM) is used to explore shallow polyp information. Finally, cross-layer feature fusion is performed by a global adaptive module (GAM) to realize feature interaction. This algorithm is evaluated on the CVC-ClinicDB and Kvasir-SEG datasets and further tested for generalization capability on the CVC-ColonDB dataset. Compared to other classic segmentation networks, the proposed method demonstrates superior segmentation performance in both visual results and quantitative analysis. The method effectively segments colorectal polyp images, offering a new approach to diagnosing colorectal polyps. © 2024 SPIE.

关键词： Image enhancement

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Evaluation and Allocation of Operational Efficiency of Muti-Shared Energy Storages in the Distribution Network 7

Evaluation and Allocation of Operational Efficiency of Muti-...

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7th International Conference on Power and Energy Applications, ICPEA 2024

作者： Zhang, Guoqiang Jia, Yanbing Liu, Jiajie Tan, Ran Ministry of Education Taiyuan University of Technology Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Taiyuan China

ISBN: (纸本)9798350356113

With the introduction of the dual-carbon target, the construction of a new power system mainly based on new energy is progressing gradually, and multiple shared energy storage(SES) will be built in distribution stations to address the adequacy and flexibility caused by a high proportion of new energy. To realize the efficient call-up of multiple SES, attention needs to be paid to the comprehensive contribution of each SES to the distribution substation area. In this paper, we propose a model for evaluating and allocating the operating efficiencies of multi-SES in a station area, which takes into account the impacts of SES operation on the economy, reliability, and environment of the station area, reasonably evaluates the comprehensive operating efficiencies, and realizes the allocation of the operating efficiencies of each SES in the station area based on the Shapley model. The results show that the proposed method can effectively quantify and allocate the comprehensive performance of different SES and promote the efficient utilization of SES. © 2024 IEEE.

关键词： Storage efficiency

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Multifeature attention detection algorithm based on power spectral density and differential entropy

Multifeature attention detection algorithm based on power sp...

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2024 International Conference on Future of Medicine and Biological Information Engineering, MBIE 2024

作者： Yuan, Peng Bian, Yan Liu, Yanli Li, Shanshan Han, Chunxiao Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Technology and Education Tianjin300350 China

ISBN: (纸本)9781510682825

Attention is closely related to human life. To detect attention states quickly and accurately with fewer resources, this research propose a method for attention state detection, it is based on differential entropy (DE) and power spectral density (PSD). Electroencephalogram (EEG) data from 15 participants. It was processed using the Fast Fourier Transform (FFT) to extract DE and PSD features, which was normalized. These features were input into a Support Vector Machine (SVM). After optimizing the model parameters, it achieved a well-performing attention state detection model. The proposed method achieved a maximum classification accuracy of 85% and an average accuracy of 67%, The model described in the statement surpasses traditional SVM models that are trained solely on DE or PSD features, as well as single-channel or multi-channel SVM models. The new method can be used to learn additional features for attention verification and generalizes well for the task of developing a robust deep learning system. © 2024 SPIE.

关键词： Electroencephalography

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Design of Automatic control System for the Laying of Waterproof Plate in Tunnel Construction

Design of Automatic Control System for the Laying of Waterpr...

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International Conference on Mechanical Design, ICMD 2023

作者： Lu, Guangda Han, Xu Zhao, Zhuangzhuang Guo, Tinghang Han, Yu Li, Xiang Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9789819709212

Aiming at the problems of poor welding quality consistency and low construction efficiency of manually welded flashing, a set of automatic control system for welding flashing in tunnel construction is designed and manufactured. The equipment consists of hot melt liner storage module, hot melt liner conveying module, hot melt liner fixing module, hot melt liner welding module and automatic welding control module, introduces the working principle of the equipment as well as the workflow, and focuses on the analysis of the automatic control module of the equipment. The H5u PLC of Innovance is adopted as the core controller. Finally, based on the control module to complete the waterproof plate and 65 tunnel hot melt liner automation welding test, the results show that the equipment effectively reduce the burden of manual work, improve the quality of waterproof plate welding and construction efficiency, for the tunnel waterproof plate welding full automation welding provides an effective solution. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： controllers

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Deep Learning Super-Resolution Dictionary Network Removes CT Metal Artifacts 5

Deep Learning Super-Resolution Dictionary Network Removes CT...

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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Zheng, Yanze Dong, Jian Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China

ISBN: (纸本)9798350385557

Deep learning has demonstrated efficacy in the task of Metal Artifact Reduction (MAR) within Computed Tomography (CT) images. Despite these successes, prevailing deep learning frameworks often fall short in terms of model interpretability. Moreover, existing MAR methodologies have largely overlooked the intrinsic prior knowledge within CT images that contain metal artifacts, knowledge which could significantly enhance the effectiveness of MAR. In response to these challenges, this paper introduces an end-to-end Super-resolution Convolutional Dictionary network tailored for MAR tasks. The network integrates the inherent structural priors of metal artifacts, thereby offering enhanced interpretability for the MAR process. Additionally, the network leverages a generative adversarial structure to perform super-resolution reconstruction on images, effectively mitigating artifacts and improving image clarity. Comprehensive experimental results substantiate the superior performance of the proposed network, which exhibits robust MAR capabilities across various anatomical regions (liver, pelvis, chest, abdomen) and markedly elevates image quality. © 2024 IEEE.

关键词： Convolution

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Sampled-Data Based Robust Multi-Objective Path-Following control of Autonomous Vehicles 6

Sampled-Data Based Robust Multi-Objective Path-Following Con...

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6th International Conference on Electronic Engineering and Informatics, EEI 2024

作者： Yang, Xinduan Weng, Zhixiang Lin, Kunsong Li, Panshuo School of Automation Guangdong University of Technology Guangdong Provincial Key Laboratory of Intelligent Decision and Collaborative Control China

ISBN: (纸本)9798350353594

This paper proposes a sampled-data multi-objective path-following control method for autonomous vehicles based on the polytopic linear parameter varying (LPV) approach. Combining the active front-wheel steering (AFS) and the direct yaw moment control (DYC) strategies, an LPV path-following model is established subject to time-varying longitudinal velocity and uncertain cornering stiffness. Based on it, a sampled-data H∞/GH2 controller is obtained by solving linear matrix inequalities (LMIs), which guarantees the path-following performance and the lateral stability of the vehicle. The effectiveness of the proposed controller is verified in the simulation. © 2024 IEEE.

关键词： Sampled data control systems

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Multi-View consistency-based point cloud registration method with low overlap rate 3

Multi-View consistency-based point cloud registration method...

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2023 3rd International Conference on Measurement control and Instrumentation, MCAI 2023

作者： Cui, Zhiqiang Liao, Zhaoyang Lin, Xubin Sun, Kezheng Cheng, Taobo Zhou, Xuefeng Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Key Laboratory of Modern Control Technology Guangzhou China

Accurate and efficient workpiece measurement is crucial for workpiece processing and quality monitoring. Non-contact optical measurement methods have gained more attention due to their simplicity, efficiency, and flexibility compared to complicated and inefficient contact measurement methods. Multi-view registration of measurement data is a key issue in workpiece measurement, as it relies on the system's geometric accuracy and motion stability, presenting challenges such as the insufficient overlap of multi-viewpoint cloud data and cumulative error. To address these challenges, this paper proposes a multi-view planning and registration algorithm with a low overlap rate. The multi-view planning algorithm employs a greedy method to plan the scanning viewpoints of the workpiece to obtain complete point cloud data efficiently. The multi-view registration algorithm extracts features using a multi-scale geometric feature extraction network, matches the features based on the Hungarian algorithm, builds a graph, and optimizes workpiece positions based on the G2O algorithm for multi-view registration, effectively reducing cumulative error. Measurement experiments on blade workpieces confirm the feasibility of the proposed algorithms. © Published under licence by IOP Publishing Ltd.

关键词： Optical data processing

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