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Lumbar spine localisation method based on feature fusion

CAAI Transactions on Intelligence Technology 2023年第3期8卷 931-945页

作者： Yonghong Zhang Ning Hu Zhuofu Li Xuquan Ji Shanshan Liu Youyang Sha Xiongkang Song Jian Zhang Lei Hu Weishi Li Robotics Institute School of Mechanical Engineering and AutomationBeihang UniversityBeijingChina Beijing Zhuzheng Robot Co. LTDBeijingChina Department of Mechanical Aerospace and Biomedical EngineeringUniversity of TennesseeKnoxvilleTennesseeUSA Department of Orthopaedics Peking University Third HospitalBeijingChina Engineering Research Center of Bone and Joint Precision Medicine Ministry of EducationBeijingChina Beijing Key Laboratory of Spinal Disease Research BeijingChina School of Biological Science and Medical Engineering Beihang UniversityBeijingChina Department of Computer Science University of WarwickCoventryUK

To eliminate unnecessary background information,such as soft tissues in original CT images and the adverse impact of the similarity of adjacent spines on lumbar image segmentation and surgical path planning,a two‐stage approach for localising lumbar segments is ***,based on the multi‐scale feature fusion technology,a non‐linear regression method is used to achieve accurate localisation of the overall spatial region of the lumbar spine,effectively eliminating useless background information,such as soft *** the second stage,we directly realised the precise positioning of each segment in the lumbar spine space region based on the non‐linear regression method,thus effectively eliminating the interference caused by the adjacent *** 3D Intersection over Union(3D_IOU)is used as the main evaluation indicator for the positioning *** an open dataset,3D_IOU values of 0.8339�0.0990 and 0.8559�0.0332 in the first and second stages,respectively is *** addition,the average time required for the proposed method in the two stages is 0.3274 and 0.2105 s ***,the proposed method performs very well in terms of both pre-cision and speed and can effectively improve the accuracy of lumbar image segmentation and the effect of surgical path planning.

关键词： CT image lumbar spatial orientation multi‐scale information fusion

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Design and Control of High Precision Buoyancy Adjustment System for Small AUVs

Design and Control of High Precision Buoyancy Adjustment Sys...

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Computer Science, Electronic Information engineering and Intelligent Control Technology (CEI), IEEE International Conference on

作者： Yongyao Wang Tao Sui Shuxue Yan Cong Chen Zhigang Li School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China Marine Robotics Department Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (数字)9798350378542

ISBN: (纸本)9798350378559

This paper addresses the issue of buoyancy variation caused by differences in seawater density at varying operational depths for small AUVs working within 200 meters. To tackle this, a buoyancy adjustment system is designed that uses a piston-type oil cylinder to take in and release oil. The system integrates a digital-to-analog converter with a cable sensor to achieve precise measurement and control of the oil volume by accurately measuring the piston position. A mathematical model of the buoyancy adjustment system is established, and a fuzzy PID control strategy optimized by the Beetle Antennae Search (BAS) algorithm is proposed. Through Simulink simulation analysis, the system's precision adjustment capability and stability are validated. The simulation results demonstrate that the system exhibits good control performance in terms of adjustment time, overshoot, and disturbance rejection, thereby proving its reliability and feasibility.

关键词： Pistons PI control Oils Volume measurement Sea measurements Buoyancy Position measurement Bladder Stability analysis PD control

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ANALYZING EXPERIMENTALLY THE DYNAMIC CHARACTERISTICS OF JOURNAL BEARINGS UNDER VARIOUS LOAD CONDITIONS 1

ANALYZING EXPERIMENTALLY THE DYNAMIC CHARACTERISTICS OF JOUR...

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1st International Conference on Materials Innovation in engineering and Technology, ICMIET 2024

作者： Moorthy, Appusamy Anandha Madheswaran, Subramaniyan Babu, Ganesh L. Murthi, M.K. Nanthakumar, S. Senthilkumar, Kallipatti Laxmanan Selvakumar, Andiappan Mechanical Engineering Bannari Amman Institute of Technology Tamilnadu Erode638401 India Department of Robotics and Automation Rajalakshmi Engineering College Tamil Nadu Chennai602 105 India Department of Mechanical Engineering Nandha Engineering College Tamil Nadu Perundurai638 052 India Department of Mechanical Engineering PSG Institute of Technology and Applied Research Tamil Nadu Coimbatore641 062 India Fashion Institute of Technology VIT Tamil Nadu Chennai600 046 India

This paper aims to experimentally assess the performance of plain bearings casted as self-lubricating composite materials. Metal stir casting is used to prepare plain bearings based on composite materials, which are made of AA 2218 Al alloy, 4% MoS2, and 15% fly ash. Arrangement of shafts in the textile industry is reflected in the impression of the experimental setting, which was derived from earlier literature. To obtain vibration signals, the DAQ kit and accelerometer were connected using the Laboratory Virtual Instrument engineering Workbench (LAB-view) as a graphical data collection and interpretation system. Different loads were applied to journal bearings with and without lubrication. The outcome demonstrates the amplitude fluctuation, temperature rise, and mass loss of journal bearings for Gun metal (Red brass), AA2218, and self-lubricating composite materials. © 2024 institute of Physics Publishing. All rights reserved.

关键词： Textile industry

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Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 839-858页

作者： Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power System and the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Institute of High Performance Computing(IHPC) Agency for Science Technology and Research(A*STAR)Singapore 138632Singapore

Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable *** increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization ***,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical *** paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques *** particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period ***,we recommend some potential future directions for online optimization in the power systems domain.

关键词： optimization Lyapunov optimization online convex optimization online optimization optimization-guided control

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Prediction of Emission Characteristics of Spark Ignition (S.I.) Engines with Premium Level Gasoline-Ethanol-Alkane Blends Using Machine Learning 13th

Prediction of Emission Characteristics of Spark Ignition (S....

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13th International Advanced Computing Conference, IACC 2023

作者： Kumbhar, Sujit Khot, Sanjay Jujare, Varsha Patil, Vishal Husainy, Avesahemad Shedbalkar, Koustubha Department of Technology Shivaji University Maharashtra Kolhapur416004 India Department of Automation and Robotics Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India Department of Computer Science and Engineering Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India Department of Mechanical Engineering Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India Department of Electrical Engineering Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India Department of Mechanical Engineering Sharad Institute of Technology College of Engineering Yadrav Maharastra Inchalkaranji416121 India

ISBN: (纸本)9783031566998

In the current research work, a single cylinder spark (S.I)ignition engine were used for investigations of premium level gasoline-ethanol-alkane experimentally with different operating conditions e.g. variation spark ignition timing. The Engine Lab and PE3 software were used for engine control and data acquisition system. The data obtained after experimentation were used to predict the engine emissions for different operating conditions. The engine emission characteristics were predicted using three machine learning algorithmsviz linear regression, decision tree and random forest. It was found that emissions characteristics such as carbon monoxide, unburnt hydrocarbon found to be minimum for 24°bTDC experimentally as well as predicted by machine learning algorithms with different operating conditions than other spark timing positions such as 15°, 18°, 21°, 27°, 30° bTDC. All three machine learning algorithms gave better results but the random forest algorithm were more accurate than linear regression and decision trees. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Paraffins

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A Cooperative Security Monitoring Mechanism Aided by Optimal Multiple Slave Cluster Heads for UASNs

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China Communications 2023年第5期20卷 148-169页

作者： Yougan Chen Wei Wang Xiang Sun Yi Tao Zhenwen Liu Xiaomei Xu Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Xiamen UniversityXiamen 361005China Shenzhen Research Institute of Xiamen University Shenzhen 518000China Dongshan Swire Marine Station College of Ocean and Earth SciencesXiamen UniversityXiamen 361102China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Department of Electrical and Computer Engineering University of New MexicoAlbuquerqueNM 87131USA College of Harbour and Coastal Engineering Jimei UniversityXiamen 361021China

As each cluster head(CH)sensor node is used to aggregate,fuse,and forward data from different sensor nodes in an underwater acoustic sensor network(UASN),guaranteeing the data security in a CH is very *** this paper,a cooperative security monitoring mechanism aided by multiple slave cluster heads(SCHs)is proposed to keep track of the data security of a *** designing a low complexity“equilateral triangle algorithm(ETA)”,the optimal SCHs(named as ETA-based multiple SCHs)are selected from the candidate SCHs so as to improve the dispersion and coverage of SCHs and achieve largescale data security *** addition,by analyzing the entire monitoring process,the close form expression of the probability of the failure attack identification for the SCHs with respect to the probability of attack launched by ordinary nodes is *** simulation results show that the proposed optimal ETA-based multiple SCH cooperation scheme has lower probability of the failure attack identification than that of the existing *** addition,the numerical simulation results are consistent with the theoretical analysis results,thus verifying the effectiveness of the proposed scheme.

关键词： underwater acoustic sensor networks data security cluster head nodes optimal location distribution of multiple slave cluster head nodes

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DC Fault Protection Assessment of Medium Voltage DC (MVDC) Systems for Offshore Wind Energy Transmission 20

DC Fault Protection Assessment of Medium Voltage DC (MVDC) S...

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20th International Conference on AC and DC Power Transmission 2024, ACDC 2024

作者： Li, Rui Xu, Lie Liu, Guangchen Suo, Zhiwen Li, Binbin Xu, Ying Xu, Dianguo School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Department of Electronic & Electrical Engineering University of Strathclyde Glasgow United Kingdom College of Electric Power Inner Mongolia University of Technology Hohhot China State Grid Economic and Technological Research Institute Co. Ltd. Beijing102209 China

ISBN: (纸本)9781837242672

Medium voltage DC (MVDC) systems have the advantages of fewer conversion stages and lower power losses in the MVDC collector for offshore wind energy transmission and can avoid the need of costly offshore platforms, leading to significant reduction of the capital cost. In this paper, DC fault protection of MVDC systems is assessed considering both parallel and series connection arrangements of wind turbine converters. Typical DC fault protection strategies considering selective, non-selective, and partially selective fault clearing will be assessed and their impact on fault currents and voltages and the AC onshore and MVDC offshore network will be studied. The use of different DC protection devices including fast acting DC circuit breakers (DCCBs) and DC switches/disconnectors (DCSWs), and their locations on protection and system recovery will be highlighted. © The Institution of engineering & Technology 2024.

关键词： Offshore wind turbines

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Iron-making Process Monitoring based on Wasserstein Dynamic Stationary Subspace Analysis 37

Iron-making Process Monitoring based on Wasserstein Dynamic ...

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37th Youth Academic Annual Conference of Chinese Association of automation, YAC 2022

作者： Nan, Junjie Lyu, Yating Liu, Qingqing Bai, Haojie Zhang, Hanwen Zhang, Jianxun University of Science and Technology Beijing School of Automation and Electrical Engineering Beijing China Xi'An Research Institute of High Technology Department of Automation Xi'an China

ISBN: (纸本)9781665465366

The detection of early abnormalities in blast furnaces is important for the safety of iron-making processes, the reduction of energy consumption, and the improvement of economic benefits. Due to the fluctuation of raw material composition, production schedule adjustment, equipment degradation, etc., the iron-making process data often present non-stationary characteristics, resulting in the time-varying statistical characteristics of the data even under normal conditions. To solve this problem, a dynamic stationary subspace analysis method based on Wasserstein distance to detect anomalies of the iron-making process is proposed. Firstly, the switching time of hot blast stoves is identified to reduce the false alarms caused by the hot blast stove switching;Secondly, the differences in data distribution of different time intervals are measured by the Wasserstein distance, and the stationary features are obtained by minimizing the Wasserstein distance between intervals;Finally, the abnormal furnace condition monitoring index based on Mahalanobis distance is constructed by using the stationary features. The simulation results based on an actual iron-making process dataset show that the method proposed in this paper can effectively monitor the abnormal furnace conditions. © 2022 IEEE.

关键词： Blast furnaces

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Design and Analysis of a Knee Exoskeleton with Self-alignment Capability 30

Design and Analysis of a Knee Exoskeleton with Self-alignmen...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lu, Huijuan Su, Tingting Li, Guotao Liang, Xu Liu, Shengda Xiao, Wendong Xie, Shoulie Zhang, Jie He, Guangping North China University of Technology Department of Mechanical and Electrical Engineering Beijing100144 China Beijing University of Technology Faculty of Information Technology Beijing100124 China Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China Beijing Jiaotong University School of Automation and Intelligence Beijing100044 China University of Science and Technology School of Automation and Electrical Engineering Beijing100083 China A*Star Institute for Infocomm Research Singapore

ISBN: (纸本)9798350391916

The knee exoskeleton can assist patients for knee rehabilitation exercises. In this paper, a novel knee exoskeleton with self-alignment capability is proposed. First, the structure of the knee exoskeleton is designed, which has one active and four passive joints. The four passive joints are used to realize the self-alignment function of the knee exoskeleton. Second, the kinematic model is established and analysed. Third, simulations are conducted to validate the rotation ranges of human knee and hip joints. The simulation results demonstrate that the knee exoskeleton can meet the rehabilitation needs of the patients. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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Optimal Planning of Large-Scale Wind-Storage Power Plant Considering AC Power Flow Based on Stackelberg Game Theory

Optimal Planning of Large-Scale Wind-Storage Power Plant Con...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Cheng, Miao Long, Qinfei Hou, Yunhe Liang, Liang Xu, Xiaodong The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hku Shenzhen Institute of Research and Innovation Shenzhen China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9789531842976

The imperative for decarbonization of power systems has accelerated the development of renewable energy sources. The inherent variability of these new energy sources necessitates the integration of energy storage, leading to an increase in the number of large-scale wind-storage power plants(WSPP) connected to the transmission network(TN). To enhance the profitability of these wind-storage facilities, this paper establishes a Stackelberg game model to study the optimal capacity planning of large-scale WSPP. Unlike previous models that utilized direct current optimal power flow(OPF), this study considers the alternating current(AC) OPF within the TN when making WSPP construction decisions. Additionally, a dictionary-assisted Particle Swarm Optimization(PSO) algorithm is proposed to solve the presented model. The paper discusses the necessity and challenges of including AC OPF and validates the effectiveness of the proposed model and algorithm through case studies. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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