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| 1 | Alamouti code based on block repetition in FBMC/OQAM systems显示文摘In this paper,we address the Alamouti code in Filter-Bank Multicarrier with Offset Quadrature Amplitude Modulation(FBMC/OQAM)and propose a novel block-wise Alamouti code,in which a repeated block is designed to eliminate the imaginary interference among FBMC/OQAM symbols.The proposed approach exhibits a higher spectral efficiency than the conventional block-wise Alamouti scheme,as only one column of zero symbols is used as a guard interval instead of two.Furthermore,compared to the conventional scheme,the bit error ratio is improved in the proposed block-wise Alamouti,as the assumption on channel invariance at two adjacent sub-carriers is not required.Simulation results indicate that,with a significantly reduced overhead,the proposed Alamouti scheme achieves better performance over the conventional block-wise Alamouti scheme. | Dejin Kong Xing Zheng Yukang Tian Tao Jiang Yue Zhang | 2022 | Digital Communications and Networks2022，8，1： | 0 |
| 2 | Risk factors associated with mortality of COVID-19 in 3125 counties of the United States显示文摘Background:The number of cumulative confirmed cases of COVID-19 in the United States has risen sharply since March 2020.A county health ranking and roadmaps program has been established to identify factors associated with disparity in mobility and mortality of COVID-19 in all counties in the United States.The risk factors associated with county-level mortality of COVID-19 with various levels of prevaIence are not well understood.Methods:Using the data obtained from the County Health Rankings and Roadmaps program,this study applied a negative binomial design to the courtty-level mortality counts of COVID-19 as of August 27,2020 in the United States.In this design,the infected counties were categorized into three levels of infections using clustering analysis based on time-var ying cumulative con firmed cases from March 1 to August 27,2020.COVID-19 patients were not analyzed in dividually but were aggregated at the county-level,where the coun ty-level deaths of COVID-19 con firmed by the local health agencies.Clustering analysis and Kruskal-Wallis tests were used in our statistical analysis. | Ting Tian Jingwen Zhang Liyuan Hu Yukang Jiang Congyuan Duan Zhongfei Li Xueqin Wang Heping Zhang | 2021 | Infectious Diseases of Poverty2021，10，1： | 0 |
| 3 | Fuzzy logic algorithm of hovering control for the quadrotor unmanned aerial system显示文摘Purpose–The purpose of this paper is to present a control strategy which uses two independent PID controllers to realize the hovering control for unmanned aerial systems(UASs).In addition,the aim of using two PID controller is to achieve the position control and velocity control simultaneously.Design/methodology/approach–The dynamic of the UASs is mathematically modeled.One PID controller is used for position tracking control,while the other is selected for the vertical component of velocity tracking control.Meanwhile,fuzzy logic algorithm is presented to use the actual horizontal component of velocity to compute the desired position.Findings–Based on this fuzzy logic algorithm,the control error of the horizontal component of velocity tracking control is narrowed gradually to be zero.The results show that the fuzzy logic algorithm can make the UASs hover still in the air and vertical to the ground.Social implications–The acquired results are based on simulation not experiment.Originality/value–This is the first study to use two independent PID controllers to realize stable hovering control for UAS.It is also the first to use the velocity of the UAS to calculate the desired position. | Lie Yu Jia Chen Yukang Tian Yunzhou Sun Lei Ding | 2017 | International Journal of Intelligent Computing and Cybernetics2017，10，4： | 0 |
| 4 | Force tracking control for electrohydraulic servo system based on adaptive neuro-fuzzy inference system(ANFIS)controller显示文摘Purpose–The purpose of this paper is to apply a intelligent algorithm to conduct the force tracking control for electrohydraulic servo system(EHSS).Specifically,the adaptive neuro-fuzzy inference system(ANFIS)is selected to improve the control performance for EHSS.Design/methodology/approach–Two types of input–output data were chosen to train the ANFIS models.The inputs are the desired and actual forces,and the output is the current.The first type is to set a sinusoidal signal for the current to produce the actual driving force,and the desired force is chosen as same as the actual force.The other type is to give a sinusoidal signal for the desired force.Under the action of the PI controller,the actual force tracks the desired force,and the current is the output of the PI controller.Findings–The models built based on the two types of data are separately named as the ANFIS I controller and the ANFIS II controller.The results reveal that the ANFIS I controller possesses the best performance in terms of overshoot,rise time and mean absolute error and show adaptivity to different tracking conditions,including sinusoidal signal tracking and sudden change signal tracking.Originality/value–This paper is the first time to apply the ANFIS to optimize the force tracking control for EHSS. | Lie Yu Lei Ding Fangli Yu Jianbin Zheng Yukang Tian | 2021 | International Journal of Intelligent Computing and Cybernetics2021，14，1： | 0 |
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