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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Shi, Yanpeng Hu, Jiangping Peng, Zhinan Ghosh, Bijoy Kumar School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Texas Tech University Department of Mathematics and Statistics LubbockTX79409-1042 United States

ISBN: (纸本)9798350316308

This paper investigates the finite-time output consensus of general heterogeneous clustered networks using distributed hybrid communication. To address wide-area scenarios, a more general clustered network is constructed, which includes intercluster intermittent communication and intra-cluster continuous communication. A novel finite-time hybrid control strategy is designed to solve the consensus tracking problem of global clustered networks, ensuring exponential convergence in finite time under the binary distributed and intermittent control methods. Additionally, a distributed hybrid controller is designed to achieve output consensus through feedforward control in a finite time horizon. A novel criterion for the desired finite-time hybrid control is derived using output regulation techniques. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed distributed hybrid control method. © 2023 IEEE.

关键词： Feedforward control

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Improved Blending Attention Mechanism in Visual Question Answering

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Computer Systems Science & engineering 2023年第10期47卷 1149-1161页

作者： Siyu Lu Yueming Ding Zhengtong Yin Mingzhe Liu Xuan Liu Wenfeng Zheng Lirong Yin School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Resource and Environment Engineering Guizhou UniversityGuiyang550025China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325000China School of Public Affairs and Administration University of Electronic Science and Technology of ChinaChengdu611731China Department of Geography and Anthropology Louisiana State UniversityBaton Rouge70803LAUSA

Visual question answering(VQA)has attracted more and more attention in computer vision and natural language *** are committed to studying how to better integrate image features and text features to achieve better results in VQA *** of all features may cause information redundancy and heavy computational *** mechanism is a wise way to solve this ***,using single attention mechanism may cause incomplete concern of *** paper improves the attention mechanism method and proposes a hybrid attention mechanism that combines the spatial attention mechanism method and the channel attention mechanism *** the case that the attention mechanism will cause the loss of the original features,a small portion of image features were added as *** the attention mechanism of text features,a selfattention mechanism was introduced,and the internal structural features of sentences were strengthened to improve the overall *** results show that attention mechanism and feature compensation add 6.1%accuracy to multimodal low-rank bilinear pooling network.

关键词： Visual question answering spatial attention mechanism channel attention mechanism image feature processing text feature extraction

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Signal Model Analysis of Asymmetric Spatial Heterodyne Spectral Velocimetry

Signal Model Analysis of Asymmetric Spatial Heterodyne Spect...

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2023 International Conference on Optoelectronic Information and Functional Materials, OIFM 2023

作者： Peng, Xiang Liu, En-Hai Tian, Shu-Lin Zhao, Ru-Jin Key laboratory of Science and Technology on Space Optoelectronic Precision Measurement Chengdu610209 China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610209 China Automation Engineering Academy University of Electronic Science and Technology of China Chengdu611731 China School of Optoelectronics University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510668119

The asymmetric spatial heterodyne spectral velocimetry technology is a new high-precision velocimetry method proposed in recent decades, and relevant research institutions have also obtained excellent measurement results at the application level based on this technique. However, past researchers mainly focused on the optimization of its optical characteristics and structure, and without in-depth research on its signal model. This paper analyzed the technique from the principle level, established the relevant mathematical model, and explained the origin of its high resolution. Based on the measurement mechanism described in this paper, on the one hand, it reflects the advantages of asymmetric spatial heterodyne spectral velocimetry technology;on the other hand, it also defines its application scope and defects. Through the research in this paper, the asymmetric spatial heterodyne spectral velocimetry technology can have both ultra-high measurement accuracy and low computational complexity. Furthermore, it also provided a reference for its application range. © 2023 SPIE.

关键词： Velocity measurement

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Lyapunov Matrix-Based Guaranteed Cost Dynamic Positioning Control for Unmanned Marine Vehicles with Time Delay 14

Lyapunov Matrix-Based Guaranteed Cost Dynamic Positioning Co...

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14th International Conference on Information Science and technology, ICIST 2024

作者： Yang, Xin Hao, Li-Ying Li, Tieshan Xiao, Yang Liu, Guoyong College of Navigation Dalian Maritime University Dalian China College of Marine Electrical Engineering Dalian Maritime University Dalian China College of Automation Engineering University of Electronic Science and Technology of China Chengdu China The University of Alabama Department of Computer Science Tuscaloosa United States

ISBN: (纸本)9798350353334

This paper presents a Lyapunov matrix-based guaranteed cost dynamic positioning controller for unmanned marine vehicles (UMVs) with time delays. A novel Lyapunov-Krasovskii functional (LKF) is introduced, which enhances the analysis of time delays and system states. The controller design leverages the LMI framework alongside Jensen's inequality to determine sufficient criteria for its feasibility, ensuring that the UMV s' state errors gradually reduce to zero and providing an adaptive H∞ performance guarantee. Additionally, the cost function is upperbounded, and the effectiveness of the method is demonstrated through simulation results. © 2024 IEEE.

关键词： Cost functions

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Image Domain Ultra-Sparse View CT Artifact Removal Via Conditional Denoising Diffusion Probability Model 23

Image Domain Ultra-Sparse View CT Artifact Removal Via Condi...

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Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition

作者： Feixiang Zhao Jianchao Zhao Mingzhe Liu College of Nuclear Technology and Automation Engineering Chengdu University of Technology China School of Data Science and Artificial Intelligence Wenzhou University of Technology China

ISBN: (纸本)9798400707988

X-ray computed tomography (CT) scan is commonly used for pre-diagnosis and is powerful tool for ensuring accurate diagnoses. Its potential radiation damage has raised concerns in recent years. Sparse view CT scan can effectively reduce radiation exposure and improve patient comfort by shorten scanning time. However, the incomplete measurement data obtained from sparse view CT scan can only reconstruct CT images containing a large number of artifacts. To remove these artifacts and achieve a quality similar to full view CT images, numerous deep learning (DL)-based methods have been proposed, generally employing autoencoders or generative adversarial networks (GANs). Due to the high-dimensional sparse nature of artifacts, autoencoders and GANs often fail to model artifacts well. In this work, we employ a novel generative model, the denoising diffusion probability model (DDPM), to directly model full view CT images. We use ultra-sparse view CT images as the condition for generating full view CT images, guiding the reverse process of DDPM to realize artifact removal in ultra-sparse view CT images. Our method is the first to achieve artifact removal in ultra-sparse view CT in the image domain. Experiments on a public dataset demonstrate the superiority of our proposed method over existing methods.

关键词： Artifact removal Deep learning Denoising Diffusion Probability Model Sparse view CT

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PCB Surface Defect Detection Based on TPBAS-YOLOv5 3

PCB Surface Defect Detection Based on TPBAS-YOLOv5

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Luo, Changyu Chen, Shichao Wang, Kunfeng Hu, Xiangyu Wang, Kaiyuan Han, Shuangshuang Sichuan University The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Electrical Engineering Chengdu China Chinese Academy of Sciences Beijing Huairou Academy of Pararllel Sensing The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing China Beijing University of Chemical Technology School of Information Science and Technology Beijing China Beijing Technology and Business University School of Artificial Intelligence Beijing China Sichuan University School of Electrical Engineering Chengdu China Technology Beijing School of Computer and Communication Engineering and Technology Beijing Beijing China

ISBN: (纸本)9798350318470

The use of machine vision for industrial defect detection in industrial manufacturing can effectively improve the production efficiency and production quality. Due to the complex defect background, similar defects and small defect targets of printed circuit boards(PCB), the methods of using machine vision to detect PCB defects not work well. To solve these problems, this paper proposes an algorithm model TPBAS-YOLOv5, which is based on YOLOv5 and can effectively improve the accuracy and efficiency of PCB defect detection. Firstly, to improve the accuracy of the small defect detection, a transformer module is imported into the model for obtaining the information of global variables. Secondly, the P2 detection layer is added to the neck of the model layer to obtain the more feature information of the detection target, which can also improve the detection of small targets. Thirdly, to solve the problem of missing key information of detection targets , the weighted bi-directional feature pyramid network , namely BiFPN , is imported into the new network architecture, which can realize the multi-level fusion of feature information. Furthermore, an adaptive feature fusion layer ASFF is added to the model to learn the spatial weight of feature map fusion at various scales, which can achieve better trade-off efficiency for detection *** the model fuses different parts, the size of the model has not changed almost. It can still work on the edge in the industrial field. Experimental results show that TPBAS-YOLOv5 can effectively improve recall rates to 96.1%, map@0.5 to 96.6% and map0.5:0.95 to 70.3% on open-source PCB dataset. Compared with YOLOv5, it increased by 0.9%, 1.6%, and 1.6%, respectively, and the FPS reached ***, it can realize the real-time detection of irregular defects and small target defects with high accuracy, and meet the reliability and real-time requirements of PCB defect detection in industrial scenarios. © 2023 IEEE.

关键词： Printed circuit boards

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An Ultra-Wideband Bandpass Filter Using Defected Ground Structure

An Ultra-Wideband Bandpass Filter Using Defected Ground Stru...

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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Qi Chen Chengcheng Xie Rujiao Cheng Zhang Dang Fei Liang Feng Liao School of Electronic Engineering Chengdu Technological University and University of Electronic Science and Technology of China School of Automation and Electrical Engineering Chengdu Technological University Chengdu China

ISBN: (数字)9798331533922

ISBN: (纸本)9798331533939

An Ultra-Wideband bandpass filter (BPF) using novel circle-shaped defected ground structure (DGS) resonators and inter-digital capacitors is proposed in this paper. The BPF is designed by cascading a novel microstrip highpass filter (HPF) and a lowpass filter (LPF). The LPF with a 3 dB cutoff frequency of 6.1 GHz is constructed by a ladder-shaped transmission line on the top plane and the combined open loop DGS on the bottom one, resulting high selectivity and good stopband performance. The HPF consists of a ladder-shaped transmission line with zigzag slot on the top plane and circle-shaped DGS on the bottom one, providing two transmission zeros and steep rejection slope. The designed BPF with a 3 dB bandwidth of 2.8 GHz and center frequency of 4.7 GHz exhibits wide passband and sharp cutoff frequency response. The BPF also shows good stopband performance with rejection better than 28 dB from DC to 3.1 GHz in lower stopband and with rejection better than 15 dB from 6.3 to 18 GHz in upper stopband, respectively.

关键词： Band-pass filters Microstrip filters Power transmission lines Cutoff frequency Resonator filters Low-pass filters Radar antennas Passband Microwave filters Ultra wideband technology

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Variable-length Evolutionary Optimization for Multi-objectiveWorker Transfer Scheduling in Complex Product Assembly Line

Variable-length Evolutionary Optimization for Multi-objectiv...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Shudao Cai Qiucheng Ye School of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798331540241

ISBN: (纸本)9798331540258

Scheduling in complex product assembly lines is an actively studied topic. This study focuses on the redistribution planning of workers in complex product assembly workstations, known as worker transfer scheduling (WTS). Worker transfer allows the number of workers allocated to each workstation to change, thus affecting productivity. However, due to its variable-length solution space, WTS cannot be solved well by traditional evolutionary algorithms (EAs). To address these issues, we propose a non-dominated sorting EA for variable-length encoding (NSEA-VE). Applying modified evolutionary operators, NSEA-VE can explore inter-line relationships of variable-length encodings. The mechanism of the algorithm ensures the exchange of information for solution spaces. Compared with other state-of-the-art algorithms, experimental results show that the NSEA-VE performs better in terms of commonly used evaluation metrics.

关键词： Productivity Measurement Human-machine systems Evolutionary computation Encoding Workstations Planning Assembly Optimization Sorting

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Platelet Detection Based on Improved YOLO_v3

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Cyborg and Bionic Systems 2022年第1期2022卷 109-117页

作者： Renting Liu Chunhui Ren Miaomiao Fu Zhengkang Chu Jiuchuan Guo School of Information.and Communication Engineering University of Electronic Science and TechnologyChengdu 611731China School of Automation Engineering University of Electronic Science and TechnologyChengdu 611731China

Platelet detection and counting play a greatly significant role in medical field,especially in routine blood tests which can be used to judge blood status and diagnose related ***,platelet detection is valuable for diagnosing related blood diseases such as liver-related *** analyzers and visual microscope counting were widely used for platelet detection,but the experimental procedure took nearly 20 minutes and can only be performed by a professional *** recent years,technological breakthroughs in artificial intelligence have made it possible to detect red blood cells through deep learning ***,due to the inccessibility of platelet datasets and the small size of platelets,deep learning based platelet detection studies are almost *** this paper,we carried out experiments for platelet detection based on commonly used object detection models,such as Single Shot Multibox Detector(SSD),RetinaNet,Faster rcnn,and You Only Look Once_v3(YOLO_v3).Compared with the other three models,YOLO_v3 can detect platelets more *** we proposed three ideas for improvement based on YOLO_*** study demonstrated that YOLO_v3 can be adopted for platelet detection accurately and in real *** also implemented YOLO__v3 with multiscale fusion,YOLO_v3 with anchor box clustering,and YOLO_v3 with match parameter on our self-created dataset and,respectively,achieved 1.8%higher average precision(AP),2.38%higher AP,and 2.05%higher AP than YOLO_*** comprehensive experiments revealed that YOLO_v3 with the improved ideas performs better in platelet detection than YOLO_v3.

关键词： artificial breakthrough Blood

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Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks with Tree Topologies

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2354-2369页

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Northwest A and F University College of Information Engineering Yangling712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

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