This paper improves the resampling step of particle filtering（PF） based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this pa...This paper improves the resampling step of particle filtering（PF） based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this paper uses the information coming from the particles of the previous fame image and new observation data to self-adaptively determine the selecting range of particles in current fame image.The improved selecting operator with jam gene is used to ensure the diversity of particles in mathematics,and the absolute arithmetical crossing operator whose feasible solution space being close about crossing operation,and non-uniform mutation operator is used to capture all kinds of mutation in this paper.The result of simulating experiment shows that the algorithm of this paper has better iterative estimating capability than extended Kalman filtering（EKF）,PF,regularized partide filtering（RPF）,and genetic algorithm（GA）-PF.展开更多
Intervertebral disc degeneration （IDD） is characterized by disc dehydration and herniation, which is often associated with low back pain and lumbar radiculopathy due to nerve root compression or inflammation. The pa...Intervertebral disc degeneration （IDD） is characterized by disc dehydration and herniation, which is often associated with low back pain and lumbar radiculopathy due to nerve root compression or inflammation. The pathophysiology of IDD is not completely elucidated so far. Some researchers have indicated that disc degeneration begins as early as the second decade of life （Mayer et al., 2013）. Common risk factors are considered to associate with age, gender, smoking history, occupation, disc injury, and biomechanical factors. However, some epidemiologic studies highlighted that disc degeneration may be caused to a large degree by hereditary factors with apparently a relatively minor effects of environmental and behavioral risk factors （Videman et al., 1998; Cheung et al., 2006; Eser et al., 2010; Mayer et al., 2013; Vieira et al., 2014）, which indicated that genetic factors might play an important role in the pathogenesis of IDD.展开更多
基金supported by the National Natural Science Foundation of China(61302145)
文摘This paper improves the resampling step of particle filtering（PF） based on a broad interactive genetic algorithm to resolve particle degeneration and particle shortage.For target tracking in image processing,this paper uses the information coming from the particles of the previous fame image and new observation data to self-adaptively determine the selecting range of particles in current fame image.The improved selecting operator with jam gene is used to ensure the diversity of particles in mathematics,and the absolute arithmetical crossing operator whose feasible solution space being close about crossing operation,and non-uniform mutation operator is used to capture all kinds of mutation in this paper.The result of simulating experiment shows that the algorithm of this paper has better iterative estimating capability than extended Kalman filtering（EKF）,PF,regularized partide filtering（RPF）,and genetic algorithm（GA）-PF.
文摘Intervertebral disc degeneration （IDD） is characterized by disc dehydration and herniation, which is often associated with low back pain and lumbar radiculopathy due to nerve root compression or inflammation. The pathophysiology of IDD is not completely elucidated so far. Some researchers have indicated that disc degeneration begins as early as the second decade of life （Mayer et al., 2013）. Common risk factors are considered to associate with age, gender, smoking history, occupation, disc injury, and biomechanical factors. However, some epidemiologic studies highlighted that disc degeneration may be caused to a large degree by hereditary factors with apparently a relatively minor effects of environmental and behavioral risk factors （Videman et al., 1998; Cheung et al., 2006; Eser et al., 2010; Mayer et al., 2013; Vieira et al., 2014）, which indicated that genetic factors might play an important role in the pathogenesis of IDD.
