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6th IEEE Student Conference on Electric machines and systems, SCEMS 2023

作者： Wan, Wen-Jie Li, Ze-Cheng Lu, Jin-Ping Wang, Yunchong Shi, Dan Shen, Jian-Xin Zhejiang University College of Electrical Engineering Hangzhou China Zhejiang Provincial Key Laboratory of Electrical Machine Systems Hangzhou China

ISBN: (纸本)9798350329346

Parametrization of rotor topology in synchronous reluctance machines (SynRM), particularly those with circular flux barriers, has been explored through two distinct approaches. The one with a classic model offers limited parameters, constraining design flexibility, while the other with a complete model of non-concentric barriers provides extensive design freedom at the cost of increased parameters to be optimized and potential superfluous geometries. It is essential to find a fast and effective way for rotor parametrization besides these two approaches. In this paper, a new rotor parametrization method is proposed, based on partly-concentric circular flux barriers and an equation revealed between key parameters. It exhibits a design freedom between the classic model with concentric flux barriers and the complete model with non-concentric ones. A simple but efficient equation is introduced to enlarge the parameter scan range while avoiding useless and unfeasible rotor geometries, making the method more time-efficient. The three methods are adopted to parameterize and optimize a same SynRM. Predesigned end angles of the flux barriers are introduced in the integer-slot machines to help reduce the number of parameters while maintaining a high optimization performance. At last, the performances of the optimized machines obtained from the three models are compared, validating the fastness and effectiveness of the proposed design methodology. © 2023 IEEE.

关键词： Finite element method

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Automatic Control Methods as the Basis for the Development of Intelligent Urban Traffic Control systems

Automatic Control Methods as the Basis for the Development o...

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2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex, TIRVED 2023

作者： Solovyev, A.A. Valuev, A.M. Mechanical Engineering Research Institute Named after A.A.Blagonravov of Ras Laboratory of Dynamics of Man-Machine Systems Moscow Russia

ISBN: (纸本)9798350317626

A constructive way of automatic control methods application to traffic lights regulation of intersections is proposed. The main idea is to determine the traffic lights phases' duration for the next traffic lights cycle to improve the indicators of traffic efficiency relying on their values for preceding cycles;the ways of their determination by local traffic situation monitoring are presented. The organization of computational experiments for the choice of the most proper method and its parameters for a certain traffic situation is proposed;it uses the statistical distribution of temporal headways in vehicles' clusters. The efficiency of automatic control methods for a set of traffic situations on a certain T-junction is studied and the average vehicle delay decrease for some of them is confirmed. Limitation of local application of the proposed methods resulting from the condensed traffic on exit roads may be overcome by coordinating traffic control at neighboring intersections. © 2023 IEEE.

关键词： Efficiency

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Computer Simulation of a Stochastic Traffic Flow through an Intersection Based on Monitoring Data 16

Computer Simulation of a Stochastic Traffic Flow through an ...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Valuev, Andrey M. Mechanical Engineering Research Institute Named after A.A.Blagonravov of Ras Laboratory of Dynamics of Man-Machine Systems Moscow Russia

ISBN: (纸本)9798350337907

A method is introduced for computer modeling of traffic at a signalized intersection of urban roads treated as a random process. It is based on the use of statistical dependencies for temporal headways between subsequent vehicles. Methods for obtaining such dependences from monitoring data are considered. Examples of calculations for a T-junction are presented and analyzed. © 2023 IEEE.

关键词： Random processes

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A New Approach to the Application of Automatic Control Methods to Signalized Intersections of Urban Roads 16

A New Approach to the Application of Automatic Control Metho...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Solovyev, Anatoliy A. Valuev, Andrey M. Mechanical Engineering Research Institute Named after A.A. Blagonravov of Ras Laboratory of Dynamics of Man-Machine Systems Moscow Russia

ISBN: (纸本)9798350337907

The prerequisites for the use of automatic control methods for traffic light regulation of the intersection with constant monitoring of the local traffic flow are analyzed. A set of possible controlled indicators of local traffic is defined. The methodology and results of computer experiments to identify the most efficient methods of traffic regulation are presented. © 2023 IEEE.

关键词： Process control

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A Novel Hybrid Brain-Computer Interface Based on Integration of Steady-State Visual Stimulation and Rapid Serial Visual Presentation Paradigm

A Novel Hybrid Brain-Computer Interface Based on Integration...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Xie, Jun Zhang, Huanqing Tao, Qing Fang, Peng Liu, Junjie Ge, Zengle Shao, Yixuan Ding, Yuhang School of Mechanical Engineering Xinjiang University Urumqi830017 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen518055 China

ISBN: (纸本)9781665481090

Brain-computer interface (BCI) is a kind of human-computer interaction which can realize the communication and control between human brain and the external environment. The single-modality BCI has the problems of small command set and the difficulty to realize multi-dimensional control. To address these issues, a hybrid paradigm combining steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) was proposed and designed in this study. A 16-target SSVEP-RSVP hybrid BCI (hBCI) was constructed. This novel paradigm aims to achieve fast information transmission, guarantee system performance through efficient visual stimulation, and effectively overcome the crowding effect problem in the traditional BCIs. Through offline and online experiments, the hBCI system based on the SSVEP-RSVP integration paradigm shows high performance, which provides new insights and technical and theoretical supports for the applicable hBCIs. © 2024 IEEE.

关键词： Brain computer interface

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A Closed-Loop Dynamic Controller for Active Vibration Isolation Working on A Parallel Wheel-Legged Robot

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Chinese Journal of Mechanical engineering 2023年第3期36卷 147-160页

作者： Fei Guo Shoukun Wang Daohe Liu Junzheng Wang School of Automation Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training CenterBeijing 100094China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing 100048China

Serving the Stewart mechanism as a wheel-legged structure,the most outstanding superiority of the proposed wheel-legged hybrid robot(WLHR)is the active vibration isolation function during rolling on rugged ***,it is difficult to obtain its precise dynamic model,because of the nonlinearity and uncertainty of the heavy *** paper presents a dynamic control framework with a decentralized structure for single wheel-leg,position tracking based on model predictive control(MPC)and adaptive impedance module from inside to *** the Newton-Euler dynamic model of the Stewart mechanism,the controller first creates a predictive model by combining Newton-Raphson iteration of forward kinematic and inverse kinematic calculation of *** actuating force naturally enables each strut to stretch and retract,thereby realizing six degrees-of-freedom(6-DOFs)position-tracking for Stewart *** adaptive impedance control in the outermost loop adjusts environmental impedance parameters by current position and force feedback of wheel-leg along *** adjustment allows the robot to adequately control the desired support force tracking,isolating the robot body from vibration that is generated from unknown *** availability of the proposed control methodology on a physical prototype is demonstrated by tracking a Bezier curve and active vibration isolation while the robot is rolling on decelerate *** comparing the proportional and integral(PI)and constant impedance controllers,better performance of the proposed algorithm was operated and evaluated through displacement and force sensors internally-installed in each cylinder,as well as an inertial measurement unit(IMU)mounted on the robot *** proposed algorithm structure significantly enhances the control accuracy and vibration isolation capacity of parallel wheel-legged robot.

关键词： Wheel-legged hybrid robot Adaptive impedance control Model predictive control Stewart mechanism Vibration isolation Parallel robot

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Leveraging large language models for comprehensive locomotion control in humanoid robots design

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Biomimetic Intelligence & Robotics 2024年第4期4卷 48-63页

作者： Shilong Sun Chiyao Li Zida Zhao Haodong Huang Wenfu Xu School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Inteligent Morphing Mechanisms and Adaptive Robotics Shenzhen 518055China Key University Laboratory of Mechanism&Machine Theory and Intelligent Unmanned Systems of Guangdong Shenzhen 518055China

This paper investigates the utilization of large language models(LLMs)for the comprehensive control of humanoid robot *** reinforcement learning(RL)approaches for robot locomotion are resource-intensive and rely heavily on manually designed reward *** address these challenges,we propose a method that employs LLMs as the primary designer to handle key aspects of locomotion control,such as trajectory planning,inverse kinematics solving,and reward function *** using user-provided prompts,LLMs generate and optimize code,reducing the need for manual *** approach was validated through simulations in Unity,demonstrating that LLMs can achieve human-level performance in humanoid robot *** results indicate that LLMs can simplify and enhance the development of advanced locomotion control systems for humanoid robots.

关键词： humanoid robots Large language models Locomotion control Reinforcement learning

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Towards robustness and generalization of point cloud representation:A geometry coding method and a large-scale object-level dataset

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Computational Visual Media 2024年第1期10卷 27-43页

作者： Mingye Xu Zhipeng Zhou Yali Wang Yu Qiao Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000China University of Chinese Academy of Sciences Beijing065001China Shanghai AI Laboratory Shanghai200001China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen518000China Alibaba DAMO Academy Hangzhou242332China

Robustness and generalization are two challenging problems for learning point cloud *** tackle these problems,we first design a novel geometry coding model,which can effectively use an invariant eigengraph to group points with similar geometric information,even when such points are far from each *** also introduce a large-scale point cloud dataset,*** consists of 184 categories and 51,915 synthetic objects,which brings new challenges for point cloud classification,and provides a new benchmark to assess point cloud cross-domain ***,we perform extensive experiments on point cloud classification,using ModelNet40,ScanObjectNN,and our PCNet184,and segmentation,using ShapeNetPart and *** method achieves comparable performance to state-of-the-art methods on these datasets,for both supervised and unsupervised *** and our dataset are available at https://***/MingyeXu/PCNet184.

关键词： geometry coding self-supervised learning point cloud classification segmentation 3D analysis

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Physiological-Based Comparison of Deep Learning Models for Pain Level Estimation

Physiological-Based Comparison of Deep Learning Models for P...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Wenchao Zhu Yingzi Lin Mechanical and Industrial Engineering Department Intelligent Human-Machine Systems Laboratory Northeastern University Boston MA USA

ISBN: (数字)9798350379167

ISBN: (纸本)9798350379174

Chronic pain is an unpleasant and sensory experience that affects over 30% of the global population, posing a significant public health crisis. Traditional pain assessment relies heavily on self-report measures such as numerical rating scales, which are prone to biases and are not suitable for individuals unable to communicate their pain level effectively. This study aims to develop an automatic continuous pain level estimation model using physiological sensors and deep learning models. Twenty-nine participants performed a cold pain test while wearing physiological sensors including blood volume pulse (BVP), electromyography (EMG), electrodermal activity (EDA), and respiration (RR). We explored different sensor fusion architectures (data level and feature level fusion) and deep learning models (CNN-MLP, CNN-LSTM, and CNN-XGBoost) to assess their performance in pain level estimation. The result showed that feature level fusion outperforms data level fusion in pain level estimation, and among deep learning models, CNN-XGBoost and CNN-LSTM demonstrated better performance than CNN-MLP. The result also suggests that models using fewer, specific sensors like EDA can nearly match the performance of more complex multi-modality sensor systems. Future work should focus on evaluating the computational efficiency and cost-effectiveness of these models to enhance their applicability in real-time and mobile settings, thereby potentially stemming opioid misuse and improving overall patient outcomes and quality of life.

关键词： Deep learning Pain Computational modeling Estimation Sensor fusion Physiology Electromyography Sensor systems Real-time systems Sensors

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Simultaneously quantifying hundreds of acylcarnitines in multiple biological matrices within ten minutes using ultrahigh-performance liquid-chromatography and tandem mass spectrometry

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Journal of Pharmaceutical Analysis 2024年第1期14卷 140-148页

作者： Jingxian Zhang Qinsheng Chen Lianglong Zhang Biru Shi Men Yu Qingxia Huang Huiru Tang State Key Laboratory of Genetic Engineering School of Life SciencesHuman Phenome InstituteZhangjiang Fudan International Innovation CenterMetabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular PhenomicsZhongshan HospitalFudan UniversityShanghai200032China Wuhan Laboratory for Shanghai Metabolome Institute(SMI)Ltd. Wuhan430000China

Acylcarnitines are metabolic intermediates of fatty acids and branched-chain amino acids having vital biofunctions and pathophysiological significances. Here, we developed a high-throughput method for quantifying hundreds of acylcarnitines in one run using ultrahigh performance liquid chromatography and tandem mass spectrometry (UPLC-MS/MS). This enabled simultaneous quantification of 1136 acylcarnitines (C0–C26) within 10-min with good sensitivity (limit of detection < 0.7 fmol), linearity (correlation coefficient > 0.992), accuracy (relative error < 20%), precision (coefficient of variation (CV), CV < 15%), stability (CV < 15%), and inter-technician consistency (CV < 20%, n = 6). We also established a quantitative structure-retention relationship (goodness of fit > 0.998) for predicting retention time (tR) of acylcarnitines with no standards and built a database of their multiple reaction monitoring parameters (tR, ion-pairs, and collision energy). Furthermore, we quantified 514 acylcarnitines in human plasma and urine, mouse kidney, liver, heart, lung, and muscle. This provides a rapid method for quantifying acylcarnitines in multiple biological matrices.

关键词： Acylcarnitine UPLC-MS/MS Quantitative structure-retention relationship Molecular phenotype

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