Based on domain specified language mechanism(DSLM),the architecture of the robotic training system for the rehabilitation of children with cerebral palsy(CP)is designed.Application of human-computer interaction(HCI)mo...Based on domain specified language mechanism(DSLM),the architecture of the robotic training system for the rehabilitation of children with cerebral palsy(CP)is designed.Application of human-computer interaction(HCI)motion recognition technology is combined with Kinect to improve the effect of cerebral palsy rehabilitation training.In this system,Kinect's bone recognition method is used to judge the patient's training movements,and the collected bone movement information is judged.The human-computer interaction function is based on the Microsoft foundation classes function of Visual Studio based on DSLM development,which can realize real-time interactive training and evaluation of people and actions,and record the training information of patients.The system combines the designed small game to train the upper limb movement ability and reaction ability of the cerebral palsy patient,and provides key technology for improving the cerebral palsy rehabilitation training system.展开更多
色散选择性映射(dispersive selected mapping,DSLM)是降低基于偏移正交幅度调制的滤波器组多载波(filter bank multicarrier with offset quadrature amplitude modulation,FBMC/OQAM)系统峰均比(peak to average power ratio,PAPR)的...色散选择性映射(dispersive selected mapping,DSLM)是降低基于偏移正交幅度调制的滤波器组多载波(filter bank multicarrier with offset quadrature amplitude modulation,FBMC/OQAM)系统峰均比(peak to average power ratio,PAPR)的技术,但是该方法需要传输额外比特边带信息(side information,SI)。为了抑制FBMC/OQAM系统的PAPR,提高系统的频谱利用率,在DSLM的基础上,提出了一种无边带信息的色散选择性映射(without side information of DSLM,W-DSLM)方法。W-DSLM通过在相位序列中挑选特定的位置,并插入模值大于1的扩展因子对相位序列进行改进,然后利用扩展因子与相邻位置的能量差,在接收端得到最优相位序列,从而恢复出传输的符号。扩展因子的插入避免了边带信息的传输,因此能够有效提高系统的频谱效率。仿真结果验证了该方法的有效性。展开更多
Traditional linear motor optimization methods typically use analytical models combined with intelligent optimization algorithms.However,this approach has disadvantages,e.g.,the analytical model might not be accurate e...Traditional linear motor optimization methods typically use analytical models combined with intelligent optimization algorithms.However,this approach has disadvantages,e.g.,the analytical model might not be accurate enough,and the intelligent optimization algorithm can easily fall into local optimization.A new linear motor optimization strategy combining an R-deep neural network(R-DNN)and modified cuckoo search(MCS)is proposed;additionally,the thrust lifting and thrust fluctuation reductions are regarded as optimization objectives.The R-DNN is a deep neural network modeling method using the rectified linear unit(RELU)activation function,and the MCS provides a faster convergence speed and stronger data search capability as compared with genetic algorithms,particle swarm optimization,and standard CS algorithms.Finally,the validity and accuracy of this work are proven based on prototype experiments.展开更多
基金Supported by the China-Slovenia Intergovernmental Science and Technology Cooperation and Exchange Project(2017-21-12-16)China-Serbia Intergovernmental Science and Technology Cooperation and Exchange Project(266-3-1).
文摘Based on domain specified language mechanism(DSLM),the architecture of the robotic training system for the rehabilitation of children with cerebral palsy(CP)is designed.Application of human-computer interaction(HCI)motion recognition technology is combined with Kinect to improve the effect of cerebral palsy rehabilitation training.In this system,Kinect's bone recognition method is used to judge the patient's training movements,and the collected bone movement information is judged.The human-computer interaction function is based on the Microsoft foundation classes function of Visual Studio based on DSLM development,which can realize real-time interactive training and evaluation of people and actions,and record the training information of patients.The system combines the designed small game to train the upper limb movement ability and reaction ability of the cerebral palsy patient,and provides key technology for improving the cerebral palsy rehabilitation training system.
文摘色散选择性映射(dispersive selected mapping,DSLM)是降低基于偏移正交幅度调制的滤波器组多载波(filter bank multicarrier with offset quadrature amplitude modulation,FBMC/OQAM)系统峰均比(peak to average power ratio,PAPR)的技术,但是该方法需要传输额外比特边带信息(side information,SI)。为了抑制FBMC/OQAM系统的PAPR,提高系统的频谱利用率,在DSLM的基础上,提出了一种无边带信息的色散选择性映射(without side information of DSLM,W-DSLM)方法。W-DSLM通过在相位序列中挑选特定的位置,并插入模值大于1的扩展因子对相位序列进行改进,然后利用扩展因子与相邻位置的能量差,在接收端得到最优相位序列,从而恢复出传输的符号。扩展因子的插入避免了边带信息的传输,因此能够有效提高系统的频谱效率。仿真结果验证了该方法的有效性。
基金Supported by the National Natural Science Foundation of China(51837001,51907001,51707002).
文摘Traditional linear motor optimization methods typically use analytical models combined with intelligent optimization algorithms.However,this approach has disadvantages,e.g.,the analytical model might not be accurate enough,and the intelligent optimization algorithm can easily fall into local optimization.A new linear motor optimization strategy combining an R-deep neural network(R-DNN)and modified cuckoo search(MCS)is proposed;additionally,the thrust lifting and thrust fluctuation reductions are regarded as optimization objectives.The R-DNN is a deep neural network modeling method using the rectified linear unit(RELU)activation function,and the MCS provides a faster convergence speed and stronger data search capability as compared with genetic algorithms,particle swarm optimization,and standard CS algorithms.Finally,the validity and accuracy of this work are proven based on prototype experiments.
