近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
[1]. Zeng Y., Yang J.T., YIN Y.H., (2019) Evolving Gaussian Process Autoregression based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG. IEEE Transactions on biomedical engineering. 2019,66(9): 2556-2565
[2]. Lin S., YIN Y.H., Research on arc-shaped wheel wear and error compensation in the arc envelop grinding. The International Journal of Advanced Manufacturing Technology,2019,103( 5-8): 1847-1859
【3】Yin, Y.H., Ren, M.J., Sun, L.J., 2017, Dependant Gaussian Processes Regression for Intelligent Sampling of Freeform and Structured Surfaces. Annals of the CIRP, 66/1:511- 514.
[2]. Yin, Y.H., Ren, M.J., Sun, L.J., Kong, L.B., 2016, Gaussian Process Based Multi-scale Modelling for Precision Measurement of Complex Surfaces, Annals of the CIRP, 65/1:487-490.
[3]. Yin Y.H., Nee, A. Y., Ong S K, Zhu, J.Y., Gu, P. H., Chen, L. J., 2015, Automating design with intelligent human-machine integration, Annals of the CIRP, 64/2:655-678.
[4]. Yin Y.H., Zhou, C., Zhu, J. Y., 2010, A pipe route design methodology by imitating human imaginal thinking, Annals of the CIRP, 59/1:167-170.
[5]. Ren M.J., Sun L.J., Kong L.B., Yin Y.H., 2017,A CAD-based Curve Network Sampling Strategy for Measurement of Freeform Surfaces on Coordinate Measuring Machine, IEEE Transactions on Instrumentation and Measurement, (Published online)
[6]. Ren M.J., Sun L.J., Liu M.Y., Cheung C.F., Yin Y.H., 2017, A Reconstruction-registration Integrated Data Fusion Method for Measurement of Multi-scaled Complex Surfaces. IEEE Transactions on Instrumentation and Measurement, 66(3):414 - 423.
[7]. Chen X., Zeng Y., YIN Y.H.,2017, Active Compliance Control of an Exoskeleton Knee Joint Based on the Understanding of Motor Intent Using Energy Kernel Method of EMG, IEEE Trans. Neural Syst. Rehab. Eng., 25(6): 577-588.
[8]. Ren M.J., Sun L.J., Liu M.Y., Cheung C.F., Yin* Y.H., Cao Y.L., 2017, A Weighted Least Square Based Data Fusion Method for Precision Measurement of Freeform Surfaces. Precision Engineering, 48:144–151.
[9]. Sun L.J., Ren M.J., Yin Y.H., 2017, Domain-specific Gaussian process based intelligent sampling for inspection planning of complex surfaces, International Journal of Production Research, 55(19): 5564-5578.
[10]. Sun L.J., Ren M.J., Hong H.B., Yin* Y.H., 2017, Thermal error reduction based on thermodynamics structure optimization method for an ultra-precision machine tool. The International Journal of Advanced Manufacturing Technology, 88(5-8): 1267-1277.
[11]. Wang, Q., Chen, X., Yin, Y.H., Lu, J., 2017, Ontology-based coupled optimisation design method using state-space analysis for the spindle box system of large ultra-precision optical grinding machine, Enterprise information systems, 11(7):1105-1118.
[12]. Yin, Y.H., Zeng Y., Chen X., Fan Y.J.,2016, The internet of things in healthcare: An overview, Journal of Industrial Information Integration,1(1):3-13.
[13]. Jiang, Z., Yin, Y., Wang, Q., Chen, X., 2016, Predictive modelling of grinding force considering wheel deformation for toric fewer-axis grinding of large complex optical mirrors, Transactions of the ASME,J. Manuf. Sci. Eng, 138 : 0610081-06100810
[14]. Hong, H., Yin, Y.H., Chen, X., 2016, Ontological Modelling of Knowledge Management for Human-machine Integrated Design of Ultra-precision Grinding Machine. Enterprise information systems, 10(9):970-981.
[15]. Hong, H., Yin, Y.H., 2016, Ontology-based conceptual design for ultra-precision hydrostatic guideways with human-machine interaction, Journal of Industrial Information Integration, 1(2):11-18.
[16]. Hong, H., Yin, Y.H., 2016, Ontology-based human-machine integrated design method for ultra-precision grinding machine spindle, Journal of Industrial Information Integration, 1:(2): 1-10.
[17]. Xu, Y., Yin, Y.H., 2016, The Effect of Varied Pressure on the Material Removal Rate and Convergence Rate of Optics Lapping, Science Bulletin , 61:862-871.
[18]. Jiang, Z., Yin, Y.H., Chen, X., 2015, Geometric Error Modeling,Separation and Compensation of Tilted Toric Wheel in Fewer-Axis Grinding for Large Complex Optical Mirrors, Transactions of the ASME,J. Manuf. Sci. Eng, 137(3): MANU-14-1125.
[19]. Chen, X., Yin, Y.H., 2014, A highly-efficient semi-phenomenological model for a half-sarcomere aiming at the real-time prediction of the mechanical behavior under various contraction modes. Transactions of the ASME, Journal of Biomechanical Engineering , 136(12): 121001-121009.
[20]. Guo, Z., Yu, H.Y., Yin, Y.H., 2014, Developing a mobile lower limb robotic exoskeleton for gait rehabilitation. Transactions of the ASME, Journal of Medical Devices, 8(4), 1189-1195.
[21]. Fan, Y.J., Yin, Y.H., XU, L.D., Zeng, Y., Wu, F., 2014, IoT based Smart Rehabilitation System,IEEE Transactions on industrial informatics, Vol.10(2): 1568 - 1577.
[22]. Chen, X., Yin, Y.H., 2014, EMG oscillator model-based energy kernel method for characterizing muscle intrinsic property under isometric contraction. Chinese Sci Bull, 59(14): 1556-1567.
[23]. Fan, Y.J., Yin, Y.H., 2013, Active and Progressive Exoskeleton Rehabilitation Using Multi-Source Information Fusion from sEMG and Force & Position-EPP, IEEE Transactions on biomedical engineering, Vol.60(12): 3314 - 3321.
[24]. Yin, Y.H., XU, L.D., Zhu M.B., Chen, H., 2013, Chen Zhou Novel Human-Machine Collaborative Interface for Aero-Engine Pipe Routing, IEEE Transactions on industrial informatics, Vol.9(4): 2187 - 2199.
[25]. Zhang, J.J., Yin, Y.H., Zhu, J.Y., 2013, Electrical Resistivity-Based Study of Self-Sensing Properties for Shape Memory Alloy-Actuated Artificial Muscle, Sensors, 13(10): 12958-12974.
[26]. Zhang, J.J., Yin, Y.H., 2013, Sigmoid-based hysteresis modeling and high-speed tracking control of SMA-artificial muscle, Sensor and Actuators A:Physical, 201: 264– 273.
[27]. Jiang Z.H., Yin, Y.H., 2013, Geometrical principium of fewer-axis grinding for large complex optical mirrors. Sci China Tech Sci, 56: 1667-1677.CHEN Xing, YIN YueHong, 2013, A dynamical system-Markov model for active postsynaptic responses of muscle spindle afferent nerve. Chinese Sci Bull, Vol.58:603-612.
[28]. Yin, Y.H., Xu, Y., Jiang, Z.H., Wang, Q.R., 2012, Tracking and understanding unknown surface with high speed by force sensing and control for robot, IEEE Sensors Journal, Vol.12(9):2910-2916.
[29]. Yin, Y.H., Fan, Y.J., XU, L.D., 2012, EMG & EPP-Integrated Human- machine Interface between the Paralyzed and Rehabilitation Exoskeleton. IEEE Transactions on information technology on Biomedicine, Vol.16(4):542-549.
[30]. Yin, Y.H., XIE, J.Y., XU, L.D., Chen, H., 2012, Imaginal thinking-based human-machine design methodology for the configuration of reconfigurable machine tools, IEEE Transactions on industrial informatics, Vol.8(3):659-668.
[31]. Zhang, J.J., Yin, Y.H., 2012, SMA-based bionic integration design of self- sensor–actuator-structure for artificial skeletal muscle, Sens. Actuators A:Phys, 181: 94–102.
[32]. Yin, Y.H., GUO, Z., Chen, X., Fan, Y.J., 2012, Studies on biomechanics of skeletal muscle based on the working mechanism of myosin motors: An overview,Chinese Sci Bull, Vol.57(35): 4533 - 4544.
[33]. Yin, Y.H., Chen, X., 2012 ,Bioelectrochemical control mechanism with variable-frequency regulation for skeletal muscle contraction -Biomechanics of skeletal muscle based on the working mechanism of myosin motors (Ⅱ).Science China-Technological Sciences, Vol.55(8):2115-2125.
[34]. Guo, Z., Yin, Y.H., 2012, A dynamic model of skeletal muscle based on collective behavior of myosin motors-Biomechanics of skeletal muscle based on working mechanism of myosin motors (I). Science China-Technological Sciences, Vol.55(6):1589–1595
[35]. Yin, Y.H., Xie, J.Y., 2011, Reconfigurable manufacturing execution system for pipe cutting, Enterprise Information Systems, Vol. 5, No. 3, 287-299.
[36]. Guo, Z., Yin, Y.H., 2011, Casimir effect on adhesion interaction between myosin molecular motor and actin filament, International journal of nanosystem, 3(1):9-15.
[37]. Fan, Y.J., Guo, Z., Yin, Y.H., 2011, sEMG-based neuro-fuzzy controller for a parallel ankle exoskeleton with proprioception, International Journal of Robotics and Automation, Vol. 26(4), 2011: 450-460.
[38]. Yin, Y.H., Guo, Z., 2011, Collective mechanism of molecular motors and a dynamic mechanical model for sarcomere, Science China Technological Sciences, Vol.54 No.8:2130-2137
[39]. Yu, J.F., Yin, Y.H., 2010, Assembly line balancing based on an adaptive genetic algorithm, The International Journal of Advanced Manufacture Technology, 48(1-4):347–354
[40]. Fang, L., Yin, Y.H., Chen, Z.N., 2008, Design and control of a novel linear wire bonding head, The International Journal of Advanced Manufacture Technology, 35(11-12):1136-1144
[41]. Zhou, C., Yin, Y.H., 2010, Pipe assembly planning algorithm by imitating human imaginal thinking, Assembly Automation, 30(1): 66-74
[42]. Guo, Z., Yin, Y.H., 2010, Coupling mechanism of multi-force interactions in the myosin molecular motor, Chinese Sci Bull, 55 (31):3538-3544
[43]. Yin, S., Yin, Y.H., 2007, Implementation of the interactive bicycle simulator with its functional subsystems, Transactions of the ASME, Journal of Computing and Information Science in Engineering, 7(2): 160-166
[44]. Fang, L., Yin, Y.H., Chen, Z.N., 2007, Robust simultaneous optimal design of structure and control for a wire bonding force control system, Proc. IMechE: Part C: J. Mechanical engineering Science, 221(2): 177-186
[45]. Yin, S., Yin, Y.H., 2007, Study on Virtual Force Sensing and Force Display Device for the Interactive Bicycle Simulator, Sensor and Actuators A : Physical, 140(1):65-74.