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11th International Conference on Learning Representations, ICLR 2023

作者： Chen, Ziwei Li, Qiang Wang, Xiaofeng Yang, Wankou School of Automation Southeast University China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China Y-tech Kuaishou Technology China Institute of Automation Chinese Academy of Sciences China

Human-centric perception targets for understanding human body pose, shape and ***-training the model on large-scale datasets and fine-tuning it on specific tasks has become a well-established paradigm in human-centric ***, self-supervised learning methods have re-investigated contrastive learning to achieve superior performance on various downstream *** handling human-centric perception, there still remains untapped potential since 3D human structure information is neglected during the task-agnostic *** this paper, we propose the Lifting Contrastive Learning (LiftedCL) to obtain 3D-aware human-centric representations which absorb 3D human structure *** particular, to induce the learning process, a set of 3D skeletons is randomly sampled by resorting to 3D human kinematic *** this set of generic 3D samples, 3D human structure information can be learned into 3D-aware representations through adversarial *** results demonstrate that LiftedCL outperforms state-of-the-art self-supervised methods on four human-centric downstream tasks, including 2D and 3D human pose estimation (0.4% mAP and 1.8 mm MPJPE improvement on COCO 2D pose estimation and Human3.6M 3D pose estimation), human shape recovery and human parsing. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Large datasets

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A Detection Algorithm Based on SegFormer for Unmanned Driving

A Detection Algorithm Based on SegFormer for Unmanned Drivin...

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2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023

作者： Liu, Ziqi Guo, Shenyan Xie, Ziteng School of Ocean Engineering Harbin Institute of Technology Weihai China School of Automation Science and Engineering South China University of Technology Guangzhou China College of Electrical and Control Engineering Xi'an University of Science and Technology Xi'an China

ISBN: (纸本)9798350314670

Semantic segmentation matters in unmanned driving. The accuracy of semantic segmentation determines whether the vehicle can accurately identify the object on the road during driving. At present, the most popular semantic segmentation algorithm is deep learning network model with convolutional neural network as the main body, while SegFormer based on encoder and decoder proposed in recent years has not been introduced into the field of unmanned semantic segmentation. Aiming at this problem, this paper firstly divides the city road images into several small blocks. Secondly, the obtained block is sent to the encoder as input to get the multilayer feature maps. Finally, the feature maps are sent to the decoder predictive segmentation mask. On the Cityscape dataset, using SegFormer improved mIoU accuracy by an average of 6.564% compared to algorithms such as DeepLabV3+ and FPN, and SegFormer mIoU(ms+flip) similarly improved accuracy by an average of 6.072% in the case of data enhancement. It can be seen that SegFormer has unique advantages in the field of semantic segmentation, and will play an infinite potential in unmanned driving technology. © 2023 IEEE.

关键词： Semantic Segmentation

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A Collision-Free Pedestrian-Following System for Mobile Robots Base on Path Planning 20

A Collision-Free Pedestrian-Following System for Mobile Robo...

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20th IEEE International Conference on Mechatronics and automation, ICMA 2023

作者： Zhang, Hong Wang, Songyan Huo, Ju Chao, Tao Harbin Institute of Technology Control and Simulation Center 92 Xidazhi Street Harbin150080 China Harbin Institute of Technology School of Electrical Engineering and Automation 92 Xidazhi Street Harbin150080 China

ISBN: (纸本)9798350320831

In order to overcome the problems of collision avoidance and the pedestrian target loss in pedestrian-following system. This paper proposes a Collision-Free pedestrian following approach with a multi-sensor fusion-based pedestrian detector module and a path planning module. The pedestrian detector module use extended Kalman filter(EKF) to fuse a camera and a 3D LiDAR data for the target pedestrian positioning and perceive *** the path planning module, In order to track pedestrians in real time and collision-free, a global path planner and a local path planner will work simultaneously. Overall, we conducted experiments on pedestrian following in different environmental conditions to evaluate the performance of ours proposed approach. © 2023 IEEE.

关键词： Extended Kalman filters

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application 42

An Event-Triggered Tracking Control Scheme Based on Predicti...

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42nd Chinese control Conference, CCC 2023

作者： Cao, Lei Yumuk, Erhan Ionescu, Clara-Mihaela Liu, Guo-Ping Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Ghent University Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent9052 Belgium Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Istanbul Technical University Department of Control and Automation Engineering Istanbul34467 Turkey

ISBN: (纸本)9789887581543

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Networked control systems

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Dynamic modeling and simulation of blade-casing system with rubbing considering time-varying stiffness and mass of casing

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Applied Mathematics and Mechanics(English Edition) 2025年第5期46卷 849-868页

作者： Hui MA Hong GUAN Lin QU Xumin GUO Qinqin MU Yao ZENG Yanyan CHEN School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of ChinaNortheastern UniversityShenyang 110819China Sunny Optical Technology(Group)Co.Ltd. Ningbo 315400Zhejiang ProvinceChina Aircraft Strength Institute of China Xi’an 710065China AECC Sichuan Gas Turbine Research Institute Chengdu 610500China

As a common fault of the aero-engine,the blade-casing rubbing(BCR)has the potential to cause catastrophic *** this paper,to investigate the dynamic responses and wear characteristics of the system,the laminated shell element is used to establish the finite element model(FEM)of a flexibly coated casing *** the shell element,the blade is modeled,and the surface stress of the blade is *** stress-solving method of the blade is validated through comparisons with the measured time-domain waveform of the ***,a dynamic model of a blade-flexibly coated casing system with rubbing is proposed,accounting for the time-varying mass and stiffness of the casing caused by coating *** effects of the proposed flexible casing model are compared with those of a rigid casing model,and the stress changes induced by rubbing are *** results show that the natural characteristics of the coated casing decrease due to the coating *** flexibly coated casing model is found to be more suitable for studying casing ***,the stress changes caused by rubbing are slight,and the change in the stress maximum is approximately 5%under the influence of the abrasive coating.

关键词： dynamic modeling flexibly coated casing rubbing coating wear nonlinear vibration

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Design and analysis of a novel hybrid cooling method of high-speed high-power permanent magnet assisted synchronous reluctance starter/generator in aviation applications

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Chinese Journal of Aeronautics 2023年第3期36卷 285-302页

作者： Hong GUO Xu HE Jinquan XU Wei TIAN Xiaofeng DING Laicai JU Dehong LI School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100083China Ningbo Innovation Research Institute Ningbo 315800China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China Beijing Shuguang Aviation Electric Co.LTD Beijing 101300China Aviation Industry Helicopter Design and Research Institute Jingdezhen 333001China

To improve the heat dissipation performance,this paper proposes a novel hybrid cooling method for high-speed high-power Permanent Magnet assisted Synchronous Reluctance Starter/Generator(PMa Syn R S/G)in aerospace *** hybrid cooling structure with oil circulation in the housing,oil spray at winding ends and rotor end surface is firstly proposed for the PMa Syn R S/*** the accurate loss calculation of the PMa Syn R S/G is proposed,which includes air gap friction loss under oil spray cooling,copper loss,stator and rotor core loss,permanent magnet eddy current loss and bearing *** parameter sensitivity analysis of the hybrid cooling structure is proposed,while the equivalent thermal network model of the PMa Syn R S/G is established considering the uneven spraying at the winding ***,the effectiveness of the proposed hybrid cooling method is demonstrated on a 40 k W/24000 r/min PMa Syn R S/G experimental platform.

关键词： Air gap friction loss Oil spray cooling Permanent magnet assisted synchronous reluctance starter/generator Thermal analysis Thermal network model

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Modeling and Calculation of Temperature Field in Slotless Motor Based on a New Lumped Parameter Thermal Network Method 26

Modeling and Calculation of Temperature Field in Slotless Mo...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Zhao, Jing Guo, Penglei Zheng, Yun Wang, You Yang, Lei Beijing Institute of Technology School of Automation Beijing China Beijing Aerospace Control Instrument Research Institute Department of Motor Power Supply Beijing China Beijing Institute of Control Engineering Beijing Key Laboratory of Long-life Technology of Precise Rotation and Transmission Mechanisms Beijing China

ISBN: (纸本)9798350317589

In order to achieve accurate analysis of the motor temperature field, the temperature field of the slotless motor is modeled and calculated based on the centralized parametric thermal network method. The distribution of the motor thermal network nodes is given, and the axial model of the motor is divided. By deriving the thermal resistance model of each component of the slotless motor, a full-domain thermal resistance network model of the motor is constructed, and the accuracy of the model is verified by comparing the results with the finite element simulation. © 2023 IEEE.

关键词： Finite element method

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Data Augmentation for Vulnerability Detection Based on Code Refactoring and Mixup 35

Data Augmentation for Vulnerability Detection Based on Code ...

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35th IEEE International Symposium on Software Reliability engineering Workshops, ISSREW 2024

作者： Xing, Ying Huang, Jiaqi Wang, Guilong You, Yehao Yang, Bin Li, Xiaofeng Luo, Yixing Beijing University of Posts and Telecommunications School of Intelligent Engineering and Automation Beijing China Beijing University of Posts and Telecommunications School of Artifcial Intelligence Beijing China Yunnan Key Laboratory of Software Engineering Yunnan China China Unicom Research Institute Beijing China Beijing Institute of Control Engineering Software Development Center Beijing China

ISBN: (纸本)9798350367041

In recent years, the number of software vulnerabilities has gradually increased, posing a threat to the security of software, and identifying whether there are vulnerabilities in software is crucial for assuring its quality. With the development of deep learning, vulnerability detection based on deep learning has achieved good results. However, real-world software vulnerability datasets often suffer from class imbalance and a lack of labeled data, limiting the performance of deep learning models. Therefore, this paper proposes a data augmentation method to alleviate these two problems. Firstly, we treats samples with vulnerabilities in the dataset as code, and generates more samples with vulnerabilities through code refactoring to alleviate class imbalance issues. Secondly, we use the mixup method to perform linear interpolation on the embedding vectors which represent codes, and add the interpolated vectors into the training set, thereby increasing the amount of labeled training data. To evaluate our method, we conducted experiments on three projects of the Promise dataset. The experimental results show that our data augmentation method can effectively improve the effect of vulnerability detection. © 2024 IEEE.

关键词： Adversarial machine learning

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LiDAR Point Cloud Map Coding Framework Based on Quadric Surface Fitting and Scene Construction 5

LiDAR Point Cloud Map Coding Framework Based on Quadric Surf...

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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024

作者： Sun, Xuebin Wang, Jinxi Yang, Xiaofei School of Electrical Automation and Information Engineering Tianjin University Tianjin China School of Information and Control Engineering China University of Mining and Technology Xuzhou China Shanghai Institute of Optics and Fine Mechanics Department of Aerospace Laser Technology and System Shanghai China

ISBN: (纸本)9798350355925

Due to rapid 3D acquisition advancements, LiDAR point clouds are prevalent in emerging applications like heritage preservation, mobile robotics, and remote sensing. Yet, the sheer data volume poses challenges for transmission and storage, especially in autonomous driving. This paper introduces an efficient coding framework for compressing large dense LiDAR point cloud maps. By recording timestamps and quaternion matrices during map construction, we reduce map compression to sequence compression. The scans are segregated into intra-frames and inter-frames. For intra-frames, a quadric surface fitting intra-prediction technique eliminates spatial redundancy. For inter-frames, by constructing the 3D scene using encoded intra-frames, the inter-frame can be simulated according to its posture and LiDAR intrinsic parameters. Coding focuses on the difference between actual and predicted point cloud data. Decoding reverses this process, reconstructing the point cloud map from the decoded sequence and quaternion matrices. KITTI dataset experiments show the point cloud map can be averagely compressed to 3.43% of its original size while maintaining centimeter-level precision. This outperforms both octree and Google Draco methods. © 2024 IEEE.

关键词： Mobile robots

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International Electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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