Dataset classification is an essential fundament of computational intelligence in cyber-physical systems(CPS).Due to the complexity of CPS dataset classification and the uncertainty of clustering number,this paper foc...Dataset classification is an essential fundament of computational intelligence in cyber-physical systems(CPS).Due to the complexity of CPS dataset classification and the uncertainty of clustering number,this paper focuses on clarifying the dynamic behavior of acceleration dataset which is achieved from micro electro mechanical systems(MEMS)and complex image segmentation.To reduce the impact of parameters uncertainties with dataset classification,a novel robust dataset classification approach is proposed based on neighbor searching and kernel fuzzy c-means(NSKFCM)methods.Some optimized strategies,including neighbor searching,controlling clustering shape and adaptive distance kernel function,are employed to solve the issues of number of clusters,the stability and consistency of classification,respectively.Numerical experiments finally demonstrate the feasibility and robustness of the proposed method.展开更多
In this paper,we propose an improved torque sensorless speed control method for electric assisted bicycle,this method considers the coordinate conversion.A low-pass filter is designed in disturbance observer to estima...In this paper,we propose an improved torque sensorless speed control method for electric assisted bicycle,this method considers the coordinate conversion.A low-pass filter is designed in disturbance observer to estimate and compensate the variable disturbance during cycling.A DC motor provides assisted power driving,the assistance method is based on the realtime wheel angular velocity and coordinate system transformation.The effect of observer is proved,and the proposed method guarantees stability under disturbances.It is also compared to the existing methods and their performances are illustrated through simulations.The proposed method improves the performance both in rapidity and stability.展开更多
[ Objective] This study aimed at investigating the chromosomal characteristics and karyotypes of Gynura medica. [ Method ] Stem tips of G. medica seedlings were taken every 20 min from 6：30 to 10：30 am, and then wer...[ Objective] This study aimed at investigating the chromosomal characteristics and karyotypes of Gynura medica. [ Method ] Stem tips of G. medica seedlings were taken every 20 min from 6：30 to 10：30 am, and then were treated and squashed. The slices were observed under a microscope for investigating the chromosomal number and karyotypes of the cells in metaphase in which the chromosomes were well dispersed. [ Result] In the total 102 stem tip cells in meta- phase, 96.08% of cells were with 20 chromosomes, and 3.92% of cells were with 40 chromosomes. Optimal time for sampling was from 7：50 to 9：30 am, when more cells were in metaphase. [Conclusion] C. medica is the diploid plant with 20 chromosomes. Karyotype analysis gets formula 2n = 2x = 20m, and all 10 pairs of chromosomes belong to type 1A. The article reporls the chromosomes characteristics of G. rnedica firstly.展开更多
基金supported by National Natural Science Foundation of China(61403244,61304031)Key Project of Science and Technology Commission of Shanghai Municipality(14JC1402200)+3 种基金the Shanghai Municipal Commission of Economy and Informatization under Shanghai Industry-University-Research Collaboration(CXY-2013-71)the Science and Technology Commission of Shanghai Municipality under’Yangfan Program’(14YF1408600)National Key Scientific Instrument and Equipment Development Project(2012YQ15008703)Innovation Program of Shanghai Municipal Education Commission(14YZ007)
文摘Dataset classification is an essential fundament of computational intelligence in cyber-physical systems(CPS).Due to the complexity of CPS dataset classification and the uncertainty of clustering number,this paper focuses on clarifying the dynamic behavior of acceleration dataset which is achieved from micro electro mechanical systems(MEMS)and complex image segmentation.To reduce the impact of parameters uncertainties with dataset classification,a novel robust dataset classification approach is proposed based on neighbor searching and kernel fuzzy c-means(NSKFCM)methods.Some optimized strategies,including neighbor searching,controlling clustering shape and adaptive distance kernel function,are employed to solve the issues of number of clusters,the stability and consistency of classification,respectively.Numerical experiments finally demonstrate the feasibility and robustness of the proposed method.
基金supported by the National Natural Science Foundation of China(51775325)Hong Kong Scholars Program of China(XJ2013015)。
文摘In this paper,we propose an improved torque sensorless speed control method for electric assisted bicycle,this method considers the coordinate conversion.A low-pass filter is designed in disturbance observer to estimate and compensate the variable disturbance during cycling.A DC motor provides assisted power driving,the assistance method is based on the realtime wheel angular velocity and coordinate system transformation.The effect of observer is proved,and the proposed method guarantees stability under disturbances.It is also compared to the existing methods and their performances are illustrated through simulations.The proposed method improves the performance both in rapidity and stability.
基金Supported by Chinese Medical Science and Technology Program of Zhejiang Province(2011ZB132)the Science and Technology Innovation Program for Undergraduate Students of Zhejiang Province(ZJRCKJCX201007)
文摘[ Objective] This study aimed at investigating the chromosomal characteristics and karyotypes of Gynura medica. [ Method ] Stem tips of G. medica seedlings were taken every 20 min from 6：30 to 10：30 am, and then were treated and squashed. The slices were observed under a microscope for investigating the chromosomal number and karyotypes of the cells in metaphase in which the chromosomes were well dispersed. [ Result] In the total 102 stem tip cells in meta- phase, 96.08% of cells were with 20 chromosomes, and 3.92% of cells were with 40 chromosomes. Optimal time for sampling was from 7：50 to 9：30 am, when more cells were in metaphase. [Conclusion] C. medica is the diploid plant with 20 chromosomes. Karyotype analysis gets formula 2n = 2x = 20m, and all 10 pairs of chromosomes belong to type 1A. The article reporls the chromosomes characteristics of G. rnedica firstly.
