The required reinforcement force to prevent instability and the yield acceleration of reinforced slopes are computed under seismic loading by applying the kinematic approach of limit analysis in conjunction with the p...The required reinforcement force to prevent instability and the yield acceleration of reinforced slopes are computed under seismic loading by applying the kinematic approach of limit analysis in conjunction with the pseudo-dynamic method for a wide range of soil cohesion, friction angle, dilation angle and horizontal and vertical seismic coefficients. Each parameter threatening the stability of the slope enhances the magnitude of the required reinforcement force and vice versa. Moreover, the yield acceleration increases with the increase in soil shear strength parameters but decreases with the increase in the slope angle. The comparison of the present work with some of the available solutions in the literatures shows a reasonable agreement.展开更多
The main purpose of this paper is to introduce the matrix extension of the pseudo Laguerre matrix polynomials and to explore the formal properties of the operational rules and the principle of quasi-monomiality to der...The main purpose of this paper is to introduce the matrix extension of the pseudo Laguerre matrix polynomials and to explore the formal properties of the operational rules and the principle of quasi-monomiality to derive a number of properties for pseudo Laguerre matrix polynomials.展开更多
当前较多的图像伪造检测算法直接将未经优化的图像特征提取结果用于篡改检测,忽略了伪图像特征的影响,导致其不能较为准确地检测伪造内容。对此,本研究提出了一种优化因子耦合比值制约规则的方法,用于检测伪造图像。首先,引入高斯差分(D...当前较多的图像伪造检测算法直接将未经优化的图像特征提取结果用于篡改检测,忽略了伪图像特征的影响,导致其不能较为准确地检测伪造内容。对此,本研究提出了一种优化因子耦合比值制约规则的方法,用于检测伪造图像。首先,引入高斯差分(Difference of Gaussian,DoG)算子,通过比较像素点与其邻域点像素值的方法来提取图像特征。再利用DoG算子的二次Taylor展开式,构造优化因子,从提取的图像特征中筛选出不稳定的伪特征,以提高伪造内容的检测准确度。随后,在图像特征点的极坐标系中,建立特征点的8邻域区,用以计算特征向量。然后,通过特征向量求取特征点间的欧式距离信息,以及通过归一化互相关(Normalizedcrosscorrelation,NCC)函数求取特征点间的互相关信息,从而完成图像特征的匹配。最后,借助特征点间欧氏距离信息构造比值制约规则,对匹配特征点进行归类,以识别篡改内容。实验结果表明,较当前图像篡改检测方法而言,在各种几何变换操作下,本研究提出的算法具有更高的检测精度与鲁棒性,能够较为完整地检测出篡改内容。展开更多
文摘The required reinforcement force to prevent instability and the yield acceleration of reinforced slopes are computed under seismic loading by applying the kinematic approach of limit analysis in conjunction with the pseudo-dynamic method for a wide range of soil cohesion, friction angle, dilation angle and horizontal and vertical seismic coefficients. Each parameter threatening the stability of the slope enhances the magnitude of the required reinforcement force and vice versa. Moreover, the yield acceleration increases with the increase in soil shear strength parameters but decreases with the increase in the slope angle. The comparison of the present work with some of the available solutions in the literatures shows a reasonable agreement.
文摘The main purpose of this paper is to introduce the matrix extension of the pseudo Laguerre matrix polynomials and to explore the formal properties of the operational rules and the principle of quasi-monomiality to derive a number of properties for pseudo Laguerre matrix polynomials.
文摘当前较多的图像伪造检测算法直接将未经优化的图像特征提取结果用于篡改检测,忽略了伪图像特征的影响,导致其不能较为准确地检测伪造内容。对此,本研究提出了一种优化因子耦合比值制约规则的方法,用于检测伪造图像。首先,引入高斯差分(Difference of Gaussian,DoG)算子,通过比较像素点与其邻域点像素值的方法来提取图像特征。再利用DoG算子的二次Taylor展开式,构造优化因子,从提取的图像特征中筛选出不稳定的伪特征,以提高伪造内容的检测准确度。随后,在图像特征点的极坐标系中,建立特征点的8邻域区,用以计算特征向量。然后,通过特征向量求取特征点间的欧式距离信息,以及通过归一化互相关(Normalizedcrosscorrelation,NCC)函数求取特征点间的互相关信息,从而完成图像特征的匹配。最后,借助特征点间欧氏距离信息构造比值制约规则,对匹配特征点进行归类,以识别篡改内容。实验结果表明,较当前图像篡改检测方法而言,在各种几何变换操作下,本研究提出的算法具有更高的检测精度与鲁棒性,能够较为完整地检测出篡改内容。
