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15th International Conference on Digital Image Processing, ICDIP 2023

作者： Zhang, Feng Liu, Guifu Yuan, Shuai Kong, Xiangjie Geng, Jinyu School of Electrical and Control Engineering Shenyang Jianzhu University China School of Computer Science and Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400708237

The tracker based on Siamese network usually adopts the cross-correlation of convolutional features between the object branch and the search branch to describe the visual object tracking task as a similarity matching. However, most trackers apply backbone networks to represent multi-scale features in a hierarchical manner, which has limitations in distinguishing similar object. In addition, the feature information on each channel and spatial region is treated equally in the calculation process. In fact, the feature importance of these locations is not the same, and the anchor box detection mechanism requires setting a large number of anchor boxes with redundant hyperparameters, which can lead to computational and memory overload. As for these problems, this paper proposes an object tracking algorithm using siamese attention mechanism based key point network, called SAMR (Siamese Attention Mechanism Reppoints). First of all, the backbone network res2net is used to represent fine-grained multi-scale features on a hierarchical basis for increasing the receptive field of each layer. Then the channel and spatial attention information of the attention mechanism is to enhance the discriminant ability and positioning ability of the feature map. Finally, a set of key points anchor-free frames is adopted to detect and track the object. Experiments on challenging datasets such as VOT2018, VOT2019, and OTB100 illustrate that the SAMR proposed in this paper is superior to other advanced trackers in tracking accuracy. © 2023 ACM.

关键词： Object detection

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Research of STF-CKF-SLAM algorithm using Variational Bayes 23

Research of STF-CKF-SLAM algorithm using Variational Bayes

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6th International Conference on Electronics, Communications and control engineering, ICECC 2023

作者： Yuan, Shuai Bai, Yueyan Wu, Jian Li, Aichun Guo, Pengcheng School of Computer Science and Engineering Shenyang Jianzhu University China School of Electrical and Control Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400700002

Aiming at the problem of poor robustness of the driving model and divergence of the filtering process due to time-varying or abrupt-varying noise of the driving model during simultaneous localization and mapping of mobile robots, this paper proposes a strong tracking cubature kalman based SLAM algorithm using Variational Bayes, which uses the variational bayes algorithm to iteratively estimate the prediction covariance of the cubature kalman filter. Then the strong tracking cubature kalman algorithm is used to filter and fuse the observation data and the driving model, and the optimized pose data is obtained to further construct a more accurate feature map. Finally, the effectiveness of the algorithm is illustrated by simulation and practical experiments using a mobile robot equipped with lidar sensors. The simulation results represent that the simultaneous localization and mapping errors of this algorithm are reduced by 58.43% compared with the traditional CKF algorithm. The experimental results in real environment show that the average error of acquiring environmental features is reduced by 44.46%, which further verifies the feasibility and effectiveness of the proposed algorithm. This algorithm provides a new idea for simultaneous localization and mapping of mobile robots. © 2023 ACM.

关键词： Mobile robots

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Simulation Analysis of Indoor Electromagnetic Environment Based on Correlation Coefficient

Simulation Analysis of Indoor Electromagnetic Environment Ba...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Gu, Jianfeng Mo, Yuncheng Tang, Wanchun Nanjing Normal University School of Computer and Electronic Information Nanjing China Nanjing Normal University School of Electrical and Automation Engineering Nanjing China

ISBN: (纸本)9798350375909

In this paper, the indoor electromagnetic environment of a certain campus is simulated and analyzed, providing the distribution of electromagnetic radiation field in the indoor environment of the campus. Fully considering the randomness of radiation sources in geographical space in terms of time, space, and frequency, the electromagnetic radiation field distribution in empty rooms and equipped rooms was compared and analyzed. A large number of simulation results showed that the electromagnetic radiation field distribution in empty rooms and equipped rooms had a good correlation. This could provide some reference for the layout of indoor micro base stations and WIFI. © 2024 IEEE.

关键词： Indoor air pollution

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TUTNet - A Segmentation Network for Fabric Sewing Thread in the Texture Background 7

TUTNet - A Segmentation Network for Fabric Sewing Thread in ...

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7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Liang, Xi Yu, Ye Chen, Fengxin Wang, Zilong Li, Xin Lu, Qiang School of Computer Science and Information Hefei University of Technology Hefei China School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9798350350890

Sewing thread segmentation can help locate the defects in fabric sewing process, which is a challenging problem in factory quality control. In this paper, we propose a twin U-shaped Transformer Network (TUTNet) for sewing thread segmentation. To learn high-dimensional abstract features and capture the sewing direction while ensuring the smoothness of segmentation, we propose a Twin-Attention Module (TAM), which is composed of Sewing Thread Direction (STD) and Sewing Thread Smoothness (STS) blocks. To better combine low-dimensional features with fine-grained features, and generate more continuous results, we propose a Scaled Feature Fusion Module (SFFM), which is used to calculate losses at multiple levels. We also propose a large-scale sewing thread segmentation (STSeg) dataset, which is collected from real clothing production factory. Finally, we conduct experiments on both STSeg and DGRE datasets to verify the effectiveness of our method for sewing thread and other linear object segmentation. © 2024 IEEE.

关键词： Large datasets

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Odor Source Search with a Wolf Pack Algorithm via Multi-UAV in Outdoor Environment 6

Odor Source Search with a Wolf Pack Algorithm via Multi-UAV ...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Wu, Wen-Qiang Li, Ji-Gong Yang, Jing School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China

ISBN: (纸本)9798350356618

Concerning the problem of odor source search with robots in a large outdoor environment, an odor source search method based on the improved wolf pack algorithm (IWPA) is proposed, in which each wolf corresponds to an unmanned aerial vehicle (UAV). The environment is firstly traversed by the UAVs in partitions by using rectangular wave- shaped paths. Once odor plume is detected by any UAV, the WPA is applied to guide the UAVs towards the odor source. Considering the limited number of UAVs, in order to improve the utilization rate of UAVs, the wolf pack is simplified into two roles: the alpha wolf and other wolves. Meanwhile, to avoid collisions between UAVs and enable UAVs to fully sample around the suspected target position, a besieging algorithm based on a virtual force field is designed to calculate next flight direction for the UAVs. During this period, the odor source position is determined by the alpha wolf which is constantly elected by comparing the fitness values of all wolves. Simulation results show that the IWPA method can find the odor source in short time without falling into local extremum, demonstrating good convergence and being suitable for odor source search tasks in outdoor environments. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Research on a Simplified Ray Tracing Method for Indoor Radio Wave Propagation Calculation

Research on a Simplified Ray Tracing Method for Indoor Radio...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Mo, Yuncheng Gu, Jianfeng Tang, Wanchun Nanjing Normal University School of Computer and Electronic Information Nanjing China Nanjing Normal University School of Electrical and Automation Engineering Nanjing China

ISBN: (纸本)9798350375909

With the development of indoor wireless communication technology, ray tracing method is widely used for indoor radio wave propagation analysis. This paper proposes a simplified method for indoor ray tracing. Referring to the Motley-Keenan model, the indoor environment and objects are considered as a combination of planes. The attenuation of rays after reflection and transmission through the plane is determined by the Fresnel coefficient. By identifying and labeling all non-coplanar planes (walls, doors, windows, tables) in the structure, the coplanar structures are divided into one group, this can reduce the number of mirror sources when using the image theory to determine the reflection path, thereby reducing the computational complexity of ray and panel test intersections. Numerical results demonstrate the ability of the proposed method. © 2024 IEEE.

关键词： Radio waves

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A Method for Allocating Hybrid Teaching Credit Hours Using Hierarchical Analysis 25

A Method for Allocating Hybrid Teaching Credit Hours Using H...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Meng, Xiangang Li, Xiaojing Xu, Liang School of Electrical Engineering and Automation Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin China

ISBN: (纸本)9798350366600

Hybrid teaching combines traditional teaching and flipped classroom, which is a new teaching mode with the advantages of both modes. In hybrid teaching mode, reasonable allocation of credit hours between traditional teaching and flipped classroom is an important issue for the teaching work. This paper first proposes a method of using hierarchical analysis to allocate credit hours for hybrid teaching of Digital Electronic Technology courses. Firstly, we divided hybrid teaching into stage and content layers, and determined the various elements of stage and content layers. Secondly, the requirements of the Analytic Hierarchy Process were applied to organize these two levels, and pairwise importance comparisons were made for each element within the level. Index judgment matrices were established for the stage level and content level, respectively. Then, the calculation steps of the Analytic Hierarchy Process were designed, and matrix operations were used to obtain the normalized weights of each element in the stage and content layers of traditional teaching and flipped classrooms. This weight was used to determine the class hours to be allocated for each stage and content. Finally, the feasibility and effectiveness of the method proposed in this paper were verified using the example of hybrid teaching hour allocation in Chapter 4 of the Digital Electronic Technology course at Tianjin University of Technology. © 2024 IEEE.

关键词： Hierarchical systems

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SC-YOLO: An Improved Yolo Network for PCB Defect Detection 5

SC-YOLO: An Improved Yolo Network for PCB Defect Detection

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

作者： Wang, Shuo Li, Changxian Song, Xudong Wang, Yucheng Dalian Jiaotong University School of Software Engineering Dalian China Dalian Jiaotong University School of Automation and Electrical Engineering Dalian China Dalian Jiaotong University Computer and Communication Engineering Institute Dalian China

ISBN: (纸本)9798350385557

Defect detection is a crucial aspect of quality control in the manufacturing of printed circuit boards (PCBs). In order to enhance detection accuracy and address issues related to background redundancy and small target challenges, an improved YOLOv7 network for surface defect detection on PCBs is proposed in this study. Firstly, the Shape-IOU is adopted as the loss function, focusing on the self-shape and self-scale of the bounding box for precise bounding box regression. Subsequently, the CBAM attention mechanism is introduced into the feature extraction section to augment the network's feature extraction capabilities and improve the detection ability for small target defects. Experimental results demonstrate that the proposed SCYOLO achieves a mAP of 97.6% on a public PCB dataset, surpassing the original YOLOv7 by 2.3%, signifying a significant improvement in detection accuracy. This detection network holds substantial significance for quality control in the industrial production of printed circuit boards. © 2024 IEEE.

关键词： Printed circuit boards

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Robust control of two-wheeled bicycle robot under wind disturbance 2

Robust control of two-wheeled bicycle robot under wind distu...

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2nd Asia Conference on Electronics engineering, ACEE 2024

作者： Yuan, Ruijian Zhang, Yongli Geng, Lihui Li, Xuehui Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350375251

The two-wheeled bicycle robot (TWBR) is a new intelligent transportation, which can be used for special tasks such as forest operation and disaster relief. Although the TWBR is not structurally complex, the dynamics are very complex to model. It is extremely difficult to build an accurate mathematical model. Wind disturbance is, in principle, always present on open roads and influence on the driving stability increases. Aiming at mathematical modeling error caused by mass center of the TWBR frame and external disturbance caused by wind force, this paper introduces a suitable control method. Firstly, the Kane method is adopted for modeling. Secondly, robust control can provide stability and performance guarantee for both uncertainty and disturbance. Finally, the results of simulation and physical experiment show the effectiveness of the robust H∞ control for TWBR. In this paper, MATLAB/Simulink is used to establish a combined mathematical model of wind force as an experimental external disturbance. The robust H∞ controller based on linear matrix inequality (LMI) and Linear quadratic regulator(LQR) are realized. It is verified that the robust H∞ controller has better effectiveness than the LQR controller when facing the uncertainty and external disturbance. © 2024 IEEE.

关键词： Bicycles

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High-performance and Multi-functional control of Transformerless Single-phase Smart Inverter for Grid-connected PV System

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1386-1394页

作者： Kamran Zeb Saif Ul Islam Waqar Uddin Imran Khan Muhammad Ishfaq Tiago Davi Curi Busarello H.J.Kim Department of Electrical Engineering Pusan National University School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Control Automation and Computing EngineeringFederal University of Santa Catarina Blumenau

Highly reliable and flexible control is required for distributed generation(DG) to efficiently connect to the *** inverters play a key role in the control and integration of DG into the power grid and provide advanced functionalities. In this paper, an energy-based single-phase voltage-source smart inverter(SPV-SSI) of 5 k VA is designed and analyzed in detail. SPV-SSI is capable of supplying the power to local load and the utility load up to the rated capacity of the inverter, injecting the power into the grid, storing the energy in lead-acid battery bank, controlling the voltage at the point of common coupling(PCC) during voltage sags or faults, and making decisions on real-time pricing information obtained from the utility grid through advanced metering. The complete design of smart inverter in dq frame, bi-directional DC-DC buck-boost converter, IEEE standard 1547 based islanding and recloser, and static synchronous compensator(STATCOM) functionalities is presented in this paper. Moreover, adaptive controllers, i. e., fuzzy proportional-integral(F-PI) controller and fuzzy-sliding mode controller(F-SMC) are designed. The performances of F-PI controller and F-SMC are superior, stable, and robust compared with those of conventionally tuned PI controllers for voltage control loop(islanded mode) and current control loop(grid-connected mode).

关键词： Distributed generation(DG) inverter convert-er fuzzy-sliding mode controller(F-SMC) fuzzy proportionalintegral(F-PI)controller

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