Depth-adaptive regularized reconstruction for reflection diffuse optical tomography

We study reflection diffuse optical tomography using two-dimensional (2D) continuous-wave source-detector arrays on the surface of semi-infinite medium, aiming at imaging the perfusion and the hemoglobin oxygen saturation variation of human cerebral cortex with brain activation. We had previously formulated the inverse problem with Moore-Penrose inversion. When we use simple regularization in this inverse problem, the reconstruction sensitivity decreases markedly with the depth so that the signal in the deep range may be masked by an unwanted signal in the shallow range. In this paper, we propose a depth-adaptive regularized reconstruction, in which we assign a smaller regularization parameter with the depth. We demonstrate improvement of the three-dimensional (3D) reconstruction uniformity using the proposed scheme.     

Nonlinear optical properties of stimulated Brillouin scattering process in submerged object detection

Nonlinear optical properties of stimulated Brillouin scattering(SBS)to signal detection in water are analyzed.With the threshold characteristics,SBS only occnrs when the high power laser is focused in the SBS cell.When there is an object present in front of the focus,it leads to lower incident intensity and then SBS does not occur.The backward SBS signal depends on the focusing location.The nonlinear optical properties of SBS process in the focusing regime axe analyzed theoretically.With the object coming near to the focusing center,the backward Stokes signal rises up from zero to a maximum,and then grows to saturation.The delay time of the echo signal to pump signal can give the object location.In experiment,the peak position of varying rate of energy can give object location.     

A novel pose and illumination robust face recognition with a single training image per person algorithm

In the real-world application of face recognition system, owing to the difficulties of collecting samples or storage space of systems, only one sample image per person is stored in the system, which is so-called one sample per person problem. Moreover, pose and illumination have impact on recognition performance. We propose a novel pose and illumination robust algorithm for face recognition with a single training image per person to solve the above limitations. Experimental results show that the proposed algorithm is an efficient and practical approach for face recognition.     

一类弦的快速镇定问题

本文在控制能量受限的前提下,讨论一类具有混合边界的弦的快速镇定问题.证明了快速控制一定在控制域的边界上达到.推导出快速控制的具体表达式.     

大气环境预测中一类多源问题计算方法的探讨

本文应用等效点源法,导出关于多个(点、线或面)大气污染源在某一评价点造成的总浓度的计算公式。拓广了Gifford的结果,为大气环境预测中处理多源问题,提供一种较为方便的计算方法。     

一个具有约束的指派问题

本文提出的具有约束的指派问题是指派问题的推广。具有约束的指派问题可以化为指派问题进行求解。     

交通方式选择的Logit模型

着重用离散型的出行需求模型，即 Ｍｕｌｔｉｎｏｍｉａｌ Ｌｏｇｉｔ模型，对城市交通结构迸行分析。在概率的意义下推导、论证和解释模型的合理性，说明对选择模型的变量和参数的限制条件。提出一种稳定性好、收敛速度快的参数估计算法——ＢＦＧＳ算法。Ｌｏｇｉｔ模型实用性强，便于对交通结构预测。     

带满意条件的极小—极大化问题的充分条件

本文证明了当目标函数及约束函数是三类非凸函数时,所给出的带满意条件的极小—极大化问题解的必要条件也是充分条件。     

三维心电场的计算数学模型和一种特殊的边值问题

本文主要讨论了分层均匀且各向异性的人体胸腔场域内心电场逆问题的数学模型和有限元模型,其主要涉及了下面内容:1.建立了一种微分型的心电场数学模型,使心电场逆问题可以直接应用数值计算方法求解。2.定义了一类特殊边值问题为不适定边值问题。3.建立了三维分层均匀且各向异性媒质中的心电场逆问题有限元计算公式。4.简要讨论了心电场逆问题的优化解法。     

低浓度三分子模型的分歧问题

本文应用Hopf分岐理论,研究了低浓度三分子反应模型的分岐问题。