multiple unit train【铁路】 - PMC

Dalin Zhang, Yunjuan Peng, Yi Xu, Chenyue Du, Yumei Zhang, Nan Wang, Yunhao Chong, Hongwei Wang, Daohua Wu, Jintao Liu, Hailong Zhang, Lingyun Lu, Jiqiang Liu

Sci Data. 2022; 9: 244. Published online 2022 May 27. doi: 10.1038/s41597-022-01349-8

PMCID:: PMC9142585

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Personal Health Train Architecture with Dynamic Cloud Staging

Luiz Olavo Bonino da Silva Santos, Luís Ferreira Pires, Virginia Graciano Martinez, João Luiz Rebelo Moreira, Renata Silva Souza Guizzardi

SN Comput Sci. 2023; 4(1): 14. Published online 2022 Oct 17. doi: 10.1007/s42979-022-01422-4

PMCID:: PMC9574821

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The development and acceptability of an educational and training intervention for recruiters to neonatal trials: the TRAIN project

V. Smith, H. Delaney, A. Hunter, D. Torgerson, S. Treweek, C. Gamble, N. Mills, K. Stanbury, E. Dempsey, M. Daly, J. O’Shea, K. Weatherup, S. Deshpande, M. A. Ryan, J. Lowe, G. Black, D. Devane

BMC Med Res Methodol. 2023; 23: 265. Published online 2023 Nov 11. doi: 10.1186/s12874-023-02086-1

PMCID:: PMC10638723

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Disaster complexity and the Santiago de Compostela train derailment

James M. Shultz, Maria Paz Garcia-Vera, Clara Gesteira Santos, Jesús Sanz, George Bibel, Carl Schulman, George Bahouth, Yasmin Dias Guichot, Zelde Espinel, Andreas Rechkemmer

Disaster Health. 2016; 3(1): 11–31. Published online 2016 Jan 8. doi: 10.1080/21665044.2015.1129889

PMCID:: PMC5314906

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A practical model for the train-set utilization: The case of Beijing-Tianjin passenger dedicated line in China

Yu Zhou, Leishan Zhou, Yun Wang, Xiaomeng Li, Zhuo Yang

PLoS One. 2017; 12(5): e0175698. Published online 2017 May 10. doi: 10.1371/journal.pone.0175698

PMCID:: PMC5425186

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Joint optimization of high-speed train timetables, speed levels and stop plans for increasing capacity based on a compressed multilayer space-time network

Angyang Chen, Xingchen Zhang, Junhua Chen, Zhimei Wang

PLoS One. 2022; 17(3): e0264835. Published online 2022 Mar 3. doi: 10.1371/journal.pone.0264835

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Moving model analysis on the transient pressure and slipstream caused by a metro train passing through a tunnel

Shuang Meng, Dan Zhou, Zhe Wang

PLoS One. 2019; 14(9): e0222151. Published online 2019 Sep 10. doi: 10.1371/journal.pone.0222151

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User satisfaction with train fares: A comparative analysis in five Australian cities

Puteri Paramita, Zuduo Zheng, Md. Mazharul Haque, Simon Washington, Paul Hyland

PLoS One. 2018; 13(6): e0199449. Published online 2018 Jun 21. doi: 10.1371/journal.pone.0199449

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Shaping the subway microbiome through probiotic-based sanitation during the COVID-19 emergency: a pre–post case–control study

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Microbiome. 2023; 11: 64. Published online 2023 Mar 30. doi: 10.1186/s40168-023-01512-2

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Spikebench: An open benchmark for spike train time-series classification

Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor Kazantsev

PLoS Comput Biol. 2023 Jan; 19(1): e1010792. Published online 2023 Jan 10. doi: 10.1371/journal.pcbi.1010792

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Biomechanics of the Peacock’s Display: How Feather Structure and Resonance Influence Multimodal Signaling

Roslyn Dakin, Owen McCrossan, James F. Hare, Robert Montgomerie, Suzanne Amador Kane

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Model Predictive Controller Based on Online Obtaining of Softness Factor and Fusion Velocity for Automatic Train Operation

Longda Wang, Xingcheng Wang, Zhao Sheng, Senkui Lu

Sensors (Basel) 2020 Mar; 20(6): 1719. Published online 2020 Mar 19. doi: 10.3390/s20061719

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Service network design for freight railway transportation: The Chinese case

Xiaoyu Xin

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A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train

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Integrated optimization of urban rail transit line planning, timetabling and rolling stock scheduling

Chao Li, Jinjin Tang, Jun Zhang, Qingqing Zhao, Lingli Wang, Jian Li

PLoS One. 2023; 18(5): e0285932. Published online 2023 May 18. doi: 10.1371/journal.pone.0285932

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Train Distance Estimation for Virtual Coupling Based on Monocular Vision

Yang Hao, Tao Tang, Chunhai Gao

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Fault Diagnosis of Brake Train Based on Multi-Sensor Data Fusion

Yongze Jin, Guo Xie, Yankai Li, Xiaohui Zhang, Ning Han, Anqi Shangguan, Wenbin Chen

Sensors (Basel) 2021 Jul; 21(13): 4370. Published online 2021 Jun 25. doi: 10.3390/s21134370

PMCID:: PMC8271914

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Numerical Simulation and Analysis of Turbulent Characteristics near Wake Area of Vacuum Tube EMU

Hongjiang Cui, Guanxin Chen, Ying Guan, Huimin Zhao

Sensors (Basel) 2023 Mar; 23(5): 2461. Published online 2023 Feb 23. doi: 10.3390/s23052461

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PMC Images search for multiple unit train【铁路】

Fig. 2.

A: decomposition of motor units. Force and motor unit data were analyzed over a segment of 10 s before response to the stimulus (arrow). B: quantification of motor units. Single motor unit (MU) activity (left) and multiple motor unit activity (right) are shown. Interspike interval (ISI) was calculated from spike train from each motor unit (accumulated spike train for multiple motor unit). Each discrete number of interspike interval from spike train was interpolated to generate continuous signal to yield power spectrum density.

Visual information processing in older adults: reaction time and motor unit pool modulation

J Neurophysiol. 2018 Nov 1;120(5):2630-2639.
Figure 1

(a) A CRH380B high-speed EMU (electric multiple unit) under maintenance. (b) Installation position of axle box bearing on wheelset that was removed from the train. (c) A disassembled faulty axle box bearing.

A Real-Time Fault Early Warning Method for a High-Speed EMU Axle Box Bearing

Sensors (Basel). 2020 Feb;20(3):823.
Fig 3Train space-time diagram.

Electric multiple unit circulation plan optimization based on the branch-and-price algorithm under different maintenance management schemes

PLoS One. 2018;13(7):e0199910.
Figure 8

Pattern Recognition approach: the EMG signals are the input to the controller unit. Firstly the pre-processing step is done; then, in the features extraction step, the time and frequency domain features are used as input to train a single classifier or multiple classifiers. The classification output is the motion class to send as the command control to the prosthesis.

Control Strategies and Performance Assessment of Upper-Limb TMR Prostheses: A Review

Sensors (Basel). 2021 Mar;21(6):1953.