图像欧氏距离在人脸识别中的应用研究

图像欧氏距离可以嵌入到许多传统的图像分类识别算法中,该嵌入是通过对原始图像的线性变换来实现的,给出了一种基于数据场的图像线性变换方法,将其应用到图像欧氏距离中.实验结果表明,基于数据场的线性变换方法是一种可行的图像线性变换方法,该方法可以完成大尺度图像的线性变换,方便地将图像欧氏距离嵌入到传统人脸识别算法中.     

一种非线性和时滞系统自适应控制方法

提出一种新的基于高斯基函数(GPFN-G aussian potential function networks)网络的内模控制算法,并对高斯基函数网络内部模 型和内模控制器的建立进行了深入分析．仿真及实时控制结果表明该算法是有效的,具有很 好的自适应性和鲁棒性,可以应用于具有时滞和非线性时变系统中．     

砂土的剪胀方程及其塑性势(Ⅰ):发展现状

以能量守恒原理为主线,在各向同性前提下,对Taylor剪胀方程、Cam-clay剪胀方程、修正Cam-clay剪胀方程、Rowe剪胀方程和扩展的Rowe剪胀方程等进行了较全面的综述.论证了剪胀方程和塑性势函数之间的相互转化关系.指出了Lade-Kim塑性势函数和Nova塑性势函数的缺陷之处,即这两个塑性势函数均没有合理耦合临界状态这一概念.     

新型横向磁场电机的标量磁位三维磁场分析与参数计算

提出了一种新型横向磁场电机（TFM），定子采用E型铁心，可以大大降低加工难度和制造成本。但是，该电机磁路复杂，需采用三维场场进行分析。在三维有限元磁场中，如果对电流区域进行适当处理，采用标量磁位进行分析，与采用矢量磁位相比，可大大提高计算速度。对电流区域在三维磁场计算中的处理方法进行了推导，根据所推导的原理编制三维有限元软件，利用该软件对样机磁场进行计算。试验结果表明了该方法的正确性。     

Spherical harmonic coefficients for the potential of a constant-density polyhedron

Recurrent relationships for the definitions of fully normalized spherical harmonic coefficients C?_n,m and S?_n,m are derived and integrated analytically to yield the gravitational potential of a constant-density polyhedron. The algorithm is expressed in a C language computer program.     

Molecular dynamics studies of atomic-scale tribological characteristics for different sliding systems

A slider-slab sliding model for hard-to-soft and soft-to-soft sliding systems with abrasive and non-abrasive wear conditions is used to investigate atomic-scale friction. The molecular dynamics simulation uses the Morse potential to calculate interatomic forces between atoms. Separation distance between the slider and the slab is changed to simulate repulsive and attractive interactive force fields exerted on interface between two sliding components. Effects of the interaction potential parameters on the sliding friction are investigated. The relationship of frictional force, normal force and temperature rise of the slider and the slab during sliding are established. Comparison of the hard-to-soft and the soft-to-soft sliding system are carried out and shows different tribological phenomena.     

增强蚁群算法的机器人最优路径规划

为解决复杂环境中机器人最优路径规划问题,本文结合增强学习和人工势场法的原理,提出一种基于增强势场优化的机器人路径规划方法,引入增强学习思想对人工势场法进行自适应路径规划.再把该规划结果作为先验知识,对蚁群算法进行初始化,提高了蚁群算法的优化效率,同时克服了传统人工势场法的局部极小问题.仿真实验结果表明,该方法在复杂环境中,对机器人的路径规划效果令人满意.     

不同介质环境条件下黏性土的分散性及其微观结构

采用碎块试验、双比重计试验、电动电位、扫描电镜等测试方法,对典型的分散性土和非分散性土在不同介质环境条件下的分散性及其微观结构特征进行了研究.研究表明,介质环境中的钠离子含量和pH值高低是决定土体是否产生分散的本质因素,两种因素缺一不可.如果土体中含有大量的钠离子,并且酸碱度呈强碱性,则土体具有分散性.通过掺加高价阳离子和酸性物质,降低土体中钠离子的相对含量和酸碱度,可对分散性土进行改良.在自然沉积条件下,分散性土的微观结构中含有较多的孔隙;而非分散性土比较密实,孔隙较少.     

The influence of temperature, pressure, salinity and capillary force on the formation of methane hydrate

We present here a thermodynamic model for predicting multi-phase equilibrium of methane hydrate liquid and vapor phases under conditions of different temperature, pressure, salinity and pore sizes. The model is based on the 1959 van der Waals-Platteeuw model, angle-dependent ab initio inter- molecular potentials, the DMW-92 equation of state and Pitzer theory. Comparison with all available experimental data shows that this model can accurately predict the effects of temperature, pressure, salinity and capillary radius on the formation and dissociation of methane hydrate. Online calculations of the p-T conditions for the formation of methane hydrate at given salinities and pore sizes of sediments are available on: www.geochem-model.org/models.htm.     

Venom Peptide Toxins Targeting the Outer Pore Region of Transient Receptor Potential Vanilloid 1 in Pain: Implications for Analgesic Drug Development

The transient receptor potential vanilloid 1 (TRPV1) ion channel plays an important role in the peripheral nociceptive pathway. TRPV1 is a polymodal receptor that can be activated by multiple types of ligands and painful stimuli, such as noxious heat and protons, and contributes to various acute and chronic pain conditions. Therefore, TRPV1 is emerging as a novel therapeutic target for the treatment of various pain conditions. Notably, various peptides isolated from venomous animals potently and selectively control the activation and inhibition of TRPV1 by binding to its outer pore region. This review will focus on the mechanisms by which venom-derived peptides interact with this portion of TRPV1 to control receptor functions and how these mechanisms can drive the development of new types of analgesics.