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Yunwu Yu,Junhai Wang,Yan Wang,Wenhao Pan,Changwei Liu,Peng Liu,Lianjie Liang,Changwei Xu,Yunxue Liu 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.83 No.-
Phenolphthalein-based cardo poly(ether ether ketone) (PEEKWC)/polyethyleneimine (PEI) crosslinkingmembranes were prepared by solution casting followed by solution reaction at room temperature. Theeffects of reaction time and PEI content on the membrane structure and gas separation performanceswere investigated. Light transmittance measure and AFM evidenced the relationship between themicrophase separation in PEEKWC-PEI membranes and reaction time. The CO2 permeability increasedwith the PEI content, while the N2 and CH4 permeability remained nearly constant. This result indicatedthat only CO2 was transported by the solution–diffusion mechanism and also that PEI exhibited a positivecontribution as afixed carrier for CO2 facilitated transport. Meanwhile the PEEKWC-PEI crosslinkingmembranes showed higher selectivities than the pure PEEKWC membrane. The highest CO2/N2 and CO2/CH4 selectivities were about 131 and 122 increasing from 33 and 30, respectively. The crosslinkingstructure of membranes improved the CO2 permeability stability.
A Novel Algorithm of Joint Probability Data Association Based on Loss Function
( Hao Jiao ),( Yunxue Liu ),( Hui Yu ),( Ke Li ),( Feiyuan Long ),( Yingjie Cui ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7
In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.