Life science has a need for detection methods that are label-free and real-time. In this paper, we have selected staphylococcal protein A （SPA） and swine immunoglobulin G （IgG）, and monitor the bindings between SP...Life science has a need for detection methods that are label-free and real-time. In this paper, we have selected staphylococcal protein A （SPA） and swine immunoglobulin G （IgG）, and monitor the bindings between SPA and swine IgG with different concentrations, as well as the dissociations of SPA-swine IgG complex in different pH values of phosphate buffer by oblique-incidence reflectivity difference （OIRD） in a label-free and real-time fashion. We obtain the ON and OFF reaction dynamic curves corresponding to the bindings and dissociations of SPA and swine IgG. Through our analysis of the experimental results, we have been able to obtain the damping coefficients and the dissociation time of SPA and swine IgG for different pH values of the phosphate buffer. The results prove that the OIRD technique is a competing method for monitoring the dynamic processes of biomolecule interaction and achieving the quantitative information of reaction kinetics.展开更多
针对现有电力系统状态估计的不足,提出了一种基于IGG(Institute of Geodesy &Geophysics,Chinese Academy of Sciences)法的抗差估计方法。分析了抗差估计理论应用于状态估计时,初值和权函数选取的原则及一般方法,兼顾了估计结果的...针对现有电力系统状态估计的不足,提出了一种基于IGG(Institute of Geodesy &Geophysics,Chinese Academy of Sciences)法的抗差估计方法。分析了抗差估计理论应用于状态估计时,初值和权函数选取的原则及一般方法,兼顾了估计结果的准确性和数值稳定性。将抗差最小二乘法用于存在拓扑错误和坏数据时的状态估计,结合网络参数估计辨识法,得出坏数据和可疑支路的正确状态,使抗差和状态估计在计算中一次完成。算例结果表明,该法抗差能力强,收敛速度快,而且具有较好的准确性和数值稳定性。展开更多
为了提高序列图像拼接得到的全景图的质量,通常将L-M(Levenberg-Marquardt)算法用于图像拼接中变换模型的参数优化,但L-M算法不能消除误匹配点对模型求解的影响。为了消除误匹配点的影响,提出了基于IGG(Institute of Geodesy&Geophy...为了提高序列图像拼接得到的全景图的质量,通常将L-M(Levenberg-Marquardt)算法用于图像拼接中变换模型的参数优化,但L-M算法不能消除误匹配点对模型求解的影响。为了消除误匹配点的影响,提出了基于IGG(Institute of Geodesy&Geophysics)函数模型的抗差L-M算法。首先利用IGG算法的迭代过程具有良好的抗粗差能力和可靠的收敛性等特点来优化变换模型,提高图像配准的精准度。然后采用自适应区域的拉普拉斯多分辨和最优拼接缝相结合的方法对拼接结果进行融合,以消除因拼接缝及光照不均而造成的过渡不连续现象。实验结果表明,所提算法不仅有效提高了配准精度,同时还实现了无缝拼接,获得了高质量的无缝拼接全景图。展开更多
基金Supported by the Key Research Program of Chinese Academy of Sciences
文摘Life science has a need for detection methods that are label-free and real-time. In this paper, we have selected staphylococcal protein A （SPA） and swine immunoglobulin G （IgG）, and monitor the bindings between SPA and swine IgG with different concentrations, as well as the dissociations of SPA-swine IgG complex in different pH values of phosphate buffer by oblique-incidence reflectivity difference （OIRD） in a label-free and real-time fashion. We obtain the ON and OFF reaction dynamic curves corresponding to the bindings and dissociations of SPA and swine IgG. Through our analysis of the experimental results, we have been able to obtain the damping coefficients and the dissociation time of SPA and swine IgG for different pH values of the phosphate buffer. The results prove that the OIRD technique is a competing method for monitoring the dynamic processes of biomolecule interaction and achieving the quantitative information of reaction kinetics.
文摘针对现有电力系统状态估计的不足,提出了一种基于IGG(Institute of Geodesy &Geophysics,Chinese Academy of Sciences)法的抗差估计方法。分析了抗差估计理论应用于状态估计时,初值和权函数选取的原则及一般方法,兼顾了估计结果的准确性和数值稳定性。将抗差最小二乘法用于存在拓扑错误和坏数据时的状态估计,结合网络参数估计辨识法,得出坏数据和可疑支路的正确状态,使抗差和状态估计在计算中一次完成。算例结果表明,该法抗差能力强,收敛速度快,而且具有较好的准确性和数值稳定性。
文摘为了提高序列图像拼接得到的全景图的质量,通常将L-M(Levenberg-Marquardt)算法用于图像拼接中变换模型的参数优化,但L-M算法不能消除误匹配点对模型求解的影响。为了消除误匹配点的影响,提出了基于IGG(Institute of Geodesy&Geophysics)函数模型的抗差L-M算法。首先利用IGG算法的迭代过程具有良好的抗粗差能力和可靠的收敛性等特点来优化变换模型,提高图像配准的精准度。然后采用自适应区域的拉普拉斯多分辨和最优拼接缝相结合的方法对拼接结果进行融合,以消除因拼接缝及光照不均而造成的过渡不连续现象。实验结果表明,所提算法不仅有效提高了配准精度,同时还实现了无缝拼接,获得了高质量的无缝拼接全景图。
