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research on workflow recognition for liver rupture repair surgery

Mathematical Biosciences and engineering 2024年第2期21卷 1844-1856页

作者： Men, Yutao Zhao, Zixian Chen, Wei Wu, Hang Zhang, Guang Luo, Feng Yu, Ming Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Medical Support Technology Research Department Systems Engineering Institute Academy of Military Sciences People’s Liberation Army Tianjin300161 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as hemorrhage and shock. Surgical workflow recognition in liver rupture repair surgery videos presents a significant task aimed at reducing surgical mistakes and enhancing the quality of surgeries conducted by surgeons. A liver rupture repair simulation surgical dataset is proposed in this paper which consists of 45 videos collaboratively completed by nine surgeons. Furthermore, an end-to-end SA-RLNet, a self attention-based recurrent convolutional neural network, is introduced in this paper. The self-attention mechanism is used to automatically identify the importance of input features in various instances and associate the relationships between input features. The accuracy of the surgical phase classification of the SA-RLNet approach is 90.6%. The present study demonstrates that the SA-RLNet approach shows strong generalization capabilities on the dataset. SA-RLNet has proved to be advantageous in capturing subtle variations between surgical phases. The application of surgical workflow recognition has promising feasibility in liver rupture repair surgery. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons.

关键词： Image classification

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Robust controller Design for an Active Hexapod Platform with Prescribed Performance 8

Robust Controller Design for an Active Hexapod Platform with...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Yin, Rongji Shi, Yi Xie, Wei Lu, Jinhui Wen, Yu Cheng, Weixing Zhang, Weidong Shanghai Jiao Tong University Department of Automation Shanghai200240 China National Engineering Research Center of Ship & Shipping Control System School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9798350300178

In this paper, we use a robust controller with prescribed performance for the Stewart-Gangway system, achieving motion compensation under unknown time-varying disturbances. The designed controller is able to drive the Stewart top platform towards an arbitrarily small neighborhood of a desired trajectory, with convergence speed no less than a prespecified value, and a maximum overshoot less than a sufficiently small preseted constant. To demonstrate the effictiveness of the designed control strategy, simulation results are given. © 2023 IEEE.

关键词： Motion compensation

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Patchcore-SAM: Rail Defect Unsupervised Detection and Segmentation 27

Patchcore-SAM: Rail Defect Unsupervised Detection and Segmen...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： He, Shuyi Cao, Yuan Wang, Feng Sun, Yongkui Su, Shuai Yang, Weifeng Wang, Wenkun National Engineering Research Center of Rail Transportation Operation Control System School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Crrc Zhuzhou Institute Co Ltd Zhuzhou412001 China

ISBN: (纸本)9798331505929

The heavy-haul railways plays a crucial role in facilitating the transportation of large-scale goods, yet the challenging operational conditions significantly increase the occurrence of rail defects. Despite the growing importance of computer vision and artificial intelligence in detecting rail defects, current methods face issues of low accuracy and efficiency. The success of the Segment Anything Model (SAM) provides a promising solution to these problems. In this study, a novel two-stage rail defect evaluation methodology called Patchcore-SAM was proposed. Firstly, Patchcore enables the unsupervised detection and localization of defects. Subsequently, the detected anomalies are transformed into anomaly images and prompts, which serve as inputs for the fine-tuned SAM to achieve precise rail defect segmentation. The experimental results demonstrate the superior performance of this method, providing robust support for ensuring the safe operation of heavy-haul railways. © 2024 IEEE.

关键词： Railroads

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Towards Safe Inter-train Distance Minimization via Reachability Analysis and Mixed H2/H∞control

Towards Safe Inter-train Distance Minimization via Reachabil...

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2022 Chinese Automation Congress, CAC 2022

作者： Yang, Min Lv, Jidong Liu, Hongjie Zhang, Miao Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China China Academy of Railway Sciences Corporation Limited National Research Center of Railway Intelligence Transportation System Engineering Technology Signal and Communication Research Institute Beijing China

ISBN: (纸本)9781665465335

In high-speed railway, designing a reasonable controller of train control system is an important way to enhance the transportation capacity, while considering more dynamic behaviors of the preceding train, such as position, speed and acceleration etc, through V2V communication. In this paper we propose a novel method towards the safe inter-train distance minimization problem via reachability analysis and mixed H2/H∞ control. Firstly, by considering the disturbance behavior of the preceding train, a linear closed-loop system is modeled, in which the gains of a state feedback and a state feedback/feedforward, refer to controller A and controller B respectively, are designed using mixed H2/H∞ control theory. Then, the N-step forward reachable set for the two given controllers is presented to compute the maximum position error, which determines the minimum safe inter-train distance. Furthermore, backward reachability analysis algorithm is used to find the maximal initial state set, which guarantees that the state trajectory stay within the safe set in presence of disturbance. Finally, the proposed method is applied to a typical emergency braking scenario during two-train tracking. The experimental results show that the safety margin can be reduced by 54% and the maximal initial state set can be enlarged conspicuously when a feedforward term is used in the controller. © 2022 IEEE.

关键词： controllers

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Rail Fastener Defect Detection of Heavy Haul Railway Based on Improved YOLOv8 27

Rail Fastener Defect Detection of Heavy Haul Railway Based o...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Li, Xinman Cao, Yuan Wang, Feng Sun, Yongkui Su, Shuai Yang, Weifeng Wang, Wenkun School of Automation and Intelligence Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation Control System Beijing100044 China Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Crrc Zhuzhou Institute Co Ltd Zhuzhou412001 China

ISBN: (纸本)9798331505929

Rail fasteners play a crucial role in the heavy haul railway lines, serving as vital components of railway infrastructure. However, due to the intricate nature of the heavy haul railway environment, fasteners can often be obscured, leading to misjudgments and inaccuracies for the existing defect detection algorithms. To address this challenge, a novel method to detect rail fastener defects based on an improved YOLOv8 model is proposed. Initially, a new dataset specifically tailored for fastener defect detection in heavy haul railway lines is constructed utilizing onsite data. To enrich feature information and enhance detection accuracy, multiple improvements are introduced, including the addition of a P6 feature layer, the design of a cross-layer connection neck (CCNeck) feature fusion network, and the introduction of the DySample up-sampling operator. Furthermore, the Quality Focal Loss (QFL) function is introduced to address class imbalance problem within the datasets. Finally, experiments are conducted and the results demonstrate significant enhancements in detection mean average precision (mAP) compared to existing state-of-the-art networks. © 2024 IEEE.

关键词： Rails

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Color liquid crystal grating based color holographic 3D display system with large viewing angle

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Light(Science & Applications) 2024年第1期13卷 103-112页

作者： Di Wang Yi-Long Li Fan Chu Nan-Nan Li Zhao-Song Li Sin-Doo Lee Zhong-Quan Nie Chao Liu Qiong-Hua Wang School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing 100191China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China Display Technology Research Center Seoul National UniversityGwanak-ro 1Gwanak-guSeoul 08826Republic of Korea Key Lab of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China

Holographic 3D display is highly desirable for numerous applications ranging from medical treatments to military ***,it is challenging to simultaneously achieve large viewing angle and high-fidelity color reconstruction due to the intractable constraints of existing ***,we conceptually propose and experimentally demonstrate a simple and feasible pathway of using a well-designed color liquid crystal grating to overcome the inevitable chromatic aberration and enlarge the holographic viewing angle,thus enabling large-viewing-angle and color holographic 3D *** use of color liquid crystal grating allows performing secondary diffraction modulation on red,green and blue reproduced images simultaneously and extending the viewing angle in the holographic 3D display *** principle,a chromatic aberration-free hologram generation mechanism in combination with the color liquid crystal grating is proposed to pave the way for on such a superior holographic 3D *** proposed system shows a color viewing angle of~50.12°,which is about 7 times that of the traditional system with a single spatial light *** work presents a paradigm for achieving desirable holographic 3D display,and is expected to provide a new way for the wide application of holographic display.

关键词： holographic angle crystal

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An improved YOLOv7 for the state identification of sliding chairs in railway turnout

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High-Speed Railway 2024年第2期2卷 71-76页

作者： Yuan Cao Zongbao Liu Feng Wang Shuai Su Yongkui Sun Wenkun Wang National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China School of Automation and Intelligence Beijing Jiaotong UniversityBeijing 100044China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong UniversityBeijing 100044China Zhuzhou CRRC Times Electric Co. LTD.Zhuzhou 412001China

The sliding chairs are important components that support the switch rail conversion in the railway *** to the harsh environmental erosion and the attack from the wheel vibration,the failure rate of the sliding chairs accounts for up to 10%of the total failure number in ***,there is little research carried out in the existing literature to diagnose the deterioration states of the sliding *** fill out this gap,by utilizing the images containing the sliding chairs,we propose an improved You Only Look Once version 7(YOLOv7)to identify the state of the sliding ***,to meet the challenge brought by the small inter-class differences among the sliding chair states,we first integrate the Convolutional Block Attention Module(CBAM)into the YOLOv7 backbone to screen the information conducive to state ***,an extra detector for a small object is customized into the YOLOv7 network in order to detect the small-scale sliding chairs in ***,we revise the localization loss in the objective function as the Efficient Intersection over Union(EIoU)to optimize the design of the aspect ratio,which helps the localization of the sliding ***,to address the issue caused by the varying scales of the sliding chairs,we employ K-means++to optimize the priori selection of the initial anchor ***,based on the images collected from real-world turnouts,the proposed method is verified and the results show that our method outperforms the basic YOLOv7 in the state identification of the sliding chairs with 4%improvements in terms of both mean Average Precision@0.5(mAP@0.5)and F1-score.

关键词： Railway turnout Sliding chairs State identification Object detection

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Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit

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IEEE Transactions on Intelligent Transportation systems 2024年第1期25卷 920-928页

作者： Zhu, Guangyu Ding, Jiacun Wei, Yun Yi, Yang Xu, Sendren Sheng-Dong Wu, Edmond Q. Beijing Jiaotong University Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport The Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China Beijing Mass Transit Railway Operation Corporation Ltd. Beijing100014 China Yangzhou University College of Information Engineering Yangzhou225127 China National Taiwan University of Science and Technology Automation and Control Center The Graduate Institute of Automation and Control Taipei106335 Taiwan Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China The Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

Urban rail transit (URT) is vulnerable to natural disasters and social emergencies including fire, storm and epidemic (such as COVID-19), and real-time origin-destination (OD) flow prediction provides URT operators with important information to ensure the safety of URT system. However, hindered by the high dimensionality of OD flow and the lack of supportive information reflecting the real-time passenger flow changes, study in this area is at the beginning stage. A novel model consisting of two stages is proposed for OD flow prediction. The first stage predicts the inflows of all stations by Long Short-Term Memory (LSTM) in real time, where the dimension is reduced compared with predicting OD flows directly. In the second stage, the notion of separation rate, namely, the proportion of inbound passengers bounding for another station, is estimated. Finally, The OD flow is predicted by multiplying the inflow and separation rate. Experiments based on Hangzhou Metro dataset show the proposed model outperforms the contrast model in weighted mean average error (WMAE) and weighted mean square error (WMSE). Results also suggest that the proposed prediction model performs better on weekdays than on weekends, and with greater accuracy on larger OD flows. © 2000-2011 IEEE.

关键词： Forecasting

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A VIO-Based Localization Approach in GPS-denied Environments for an Unmanned Surface Vehicle 8

A VIO-Based Localization Approach in GPS-denied Environments...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Liu, Xinze Hu, Zhihuan Sun, Zhijian Lu, Jinhui Xie, Wei Zhang, Weidong Shanghai Jiao Tong University Department of Automation Shanghai200240 China Crossocean of Suzhou Technology No. 218 East Qingdao Road Suzhou China National Engineering Research Center of Ship & Shipping Control System

ISBN: (纸本)9798350300178

In this paper, we propose a visual inertial odometer (VIO)-based localization approach for USV in GPS-denied environments. Considering the difficulty in capturing reliable features on the water surface, we set the camera's pitch angle properly to capture high-quality features, including points and lines, distributed on the bridge wall. Our work is based on the state-of-the-art simultaneous localization and mapping (SLAM) framework, VINS-Fusion. The point and line features observed by the left and right cameras are both added into the nonlinear optimization system along with the inertial measurement unit (IMU) measurement between frames. Through the joint optimization of landmark information and system state variables, the precise positioning of USV is realized. To validate the effectiveness of the proposed localization method, experimental results are presented and analyzed. © 2023 IEEE.

关键词： Cameras

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Accurate MTPA control Based on Ferrari Method for IPMSM with Partial Derivative Term Calculation 27

Accurate MTPA Control Based on Ferrari Method for IPMSM with...

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27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Li, Yiyang Gu, Xin Wang, Zhiqiang Guo, Liyan Chen, Wei Li, Xinmin Li, Chen School of Electronics and Information Engineering Tiangong University Tianjin China School of Electrical Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tianjin China National Local Joint Engineering Research Center of Electrical Machine System Design and Manufacturing China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou China

ISBN: (纸本)9784886864406

Even if the exact motor parameters are known, the MTPA strategy cannot obtain precise maximum torque per ampere (MTPA) points under large current amplitude because the partial derivative of inductance to current is ignored in the modeling process. In view of this, the MTPA mathematical model considering the partial derivative of inductance to current is established in this paper, and the MTPA point tracking error caused by ignoring the partial derivative in the modeling process based on Ferrari method is analyzed. Then, an offline-online combined method for calculating the partial derivative term is proposed to compensate the MTPA tracking error. On this basis, an MTPA control strategy based on Ferrari method considering the partial derivative of inductance to current is proposed. Experiment to verify the feasibility and effectiveness of the proposed method. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Permanent magnets

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