牙冠表面三维光学测量和重建方法

选取光栅变形条纹直接分析方法,采用自制的牙冠表面形状三维测量仪和精密可调转台获得了上颌中切牙和下颌磨牙牙冠各个面的三维测量数据,将各面数据在UniGraphic软件平台上通过旋转坐标拍的方法实现数据拼合,重建了牙冠表面的三维形态,生成了牙冠实体模型。     

FTIR光谱结合曲线拟合研究萌发水稻种子

种子的萌发是种子生命历程中的主要组成部分之一,了解种子萌发过程中经历的生理生化变化,准确确定种子的活力,对农业生产很重要,因而,研究种子萌发有重要意义。采用傅里叶变换红外光谱结合曲线拟合研究不同萌发程度的水稻种子,以探寻种子贮藏物质动员情况,对不同萌发时间的水稻种子进行傅里叶变换红外光谱、二阶导数光谱、二维相关红外光谱和曲线拟合研究。结果显示,原始红外光谱整体相似,光谱反映出水稻种子的主要贮藏物质为淀粉、蛋白质和脂肪;吸收峰强度比A_{1 659}/A_{1 019},A_{1 740}/A_{1 019},A_{1 157}/A_{1 019},A_{1 157}/A_{1 081}随萌发时间的增加而降低。814～1 000和1 028～1 340 cm-1范围内的二维相关红外光谱结果显示自动峰个数和最强自动峰的位置、强度随种子萌发时间的增加而变化,表明种子在萌发过程中糖类和蛋白质发生变化。二阶导数光谱在1 200～950 cm-1范围内出现七个峰,其中988 cm-1处的峰随萌发时间的增加向较高波数蓝移,而1 053和1 158 cm-1处的峰向较低波数红移,表明水稻种子在萌发过程中多糖的结构和含量可能发生了变化;在1 700～1 600 cm-1范围内出现九个峰,其中1 641和1 692 cm-1处的峰呈现随萌发时间的增加红移到较低波数的趋势,表明水稻种子在萌发过程中蛋白质的结构和含量可能发生了变化;在1 800～1 700 cm-1范围二阶导数光谱仅观察到1 712和1 744 cm-1处的两个峰,其中1 744 cm-1由脂类物质C═O伸缩振动引起,为脂肪的特征峰。为进一步研究水稻种子萌发过程中贮藏物质的具体变化,以二阶导数光谱确定的子峰位置和数目为依据,对原始红外光谱的1 200～950与1 800～1 600 cm-1区域进行曲线拟合分析。曲线拟合结果显示,随萌发时间的增加,多糖和蛋白质的相对含量总体上呈现下降趋势,脂肪的相对含量先降后升。研究表明,傅里叶变换红外光谱结合曲线拟合可作为研究种子萌发的有效手段。     

A correlation for burn time of aluminum particles in the transition regime

A study of the combustion times for aluminum particles in the size range of 3–11 μm with oxygen, carbon dioxide, and water vapor oxidizers at high temperatures (>2400 K), high pressures (4–25 atm), and oxidizer composition (15–70% by volume in inert diluent) in a heterogeneous shock tube has generated a correlation valid in the transition regime. The deviation from diffusion limited behavior and burn times that could otherwise be accurately predicted by the widely accepted Beckstead correlation is seen, for example, in particles below 20 μm, and is evidenced by the lowering of the diameter dependence on the burn time, a dependence on pressure, and a reversal of the relative oxidizer strengths of carbon dioxide and water vapor. The strong dependence on temperature of burn time that is seen in nano-Al is not observed in these micron-sized particles. The burning rates of aluminum in these oxidizers can be added to predict an overall mixture burnout time adequately. This correlation should extend the ability of modelers to predict combustion rates of particles in solid rocket motor environments down to particle diameters of a few microns.     

Photodissociation of iodocyclohexane at 266 and 277 nm: Energy partitioning and curve crossing analysis

The photodissociation dynamics of iodocyclohexane (C₆H₁₁I) at 266 and 277 nm has been investigated by ion velocity imaging technique. The velocity distributions, angular distributions and relative quantum yields are obtained for I (²P_3/2) (denoted I) and I (²P_1/2) (denoted I*) fragments. The energy partitioning shows that about 70% of the available energy goes into the internal excitation of the photofragments for both dissociation channels. From the angular distributions, we found the value of the anisotropy parameter β for I* at the corresponding excitation wavelength was less than that for I. Based on the measured angular distributions and relative quantum yields, the relative fractions of each excited state to the products are determined. The curve crossing probabilities between the ³Q₀ and ¹Q₁ states are determined 0.503 at 266 nm and 0.443 at 277 nm.     

Parametric splines on a hyperbolic paraboloid

A hyperbolic paraboloid over a tetrahedron, constructed in B–B algebraic reduced form with its barycentric coordinate system, can be conveniently represented by two parameters. An arc on the surface, obtained by determining a type of function relation about the two parameters, has multiformity and consistent endpoint properties. We analyze the equivalence and boundedness of an arc’s curvature, and give a process of the proof. These arcs can be connected into an approximate G²$G^2$-continuity space curve for fitting to a sequence of points with their advantages, and the curves, connected by this type arcs, are quite different from other algebraic and parametric splines.     

Multi-variable Poincaré series of algebraic curve singularities over finite fields

Let be the local ring at a singular point of a geometrically integral algebraic curve defined over a finite field, and let m be the number of branches centered at the curve singularity. By encoding cardinalities of certain finite sets of ideals, we associate to each pair of ideal classes of a power series in m variables with integer coefficients, which can be represented by an integral within the framework of harmonic analysis. We prove that partial local zeta functions can be expressed in terms of these multi-variable power series. The main objective of this paper is to investigate the properties of these series, and to provide in this way a deeper insight into the nature of local zeta functions.      

无障板圆形活塞换能器的辐射阻抗*

辐射阻抗是换能器的最重要辐射声场特性参数之一,影响着换能器的谐振频率、频带宽度、效率以及辐射声功率等。经典声学理论用一阶贝塞尔函数和斯特鲁夫函数给出了圆形活塞换能器辐射阻抗的数学表达式,但仅适用于无限大障板条件。该文用ANSYS有限元软件计算了无障板圆形活塞换能器的辐射阻抗,给出了数值解结果,通过与无限大障板条件下的理论结果相比较,显示了二者之间的偏离情况,尤其是在低频时差异显著。为了借助MATLAB工具模拟无障板圆形活塞换能器的辐射阻抗,并给出较准确的数学表达,选择了一系列初等函数以及它们的复合函数进行曲线拟合,最终给出了辐射阻和辐射抗关于ka的函数表达式,在ka值从0.08到20范围内与有限元计算结果很好吻合。     

Spectral analysis and generation of certain highly oscillatory curves related to chaos

Highly oscillatory phenomena are omnipresent in applications. Two important underlying sources are stochastic fluctuations and deterministic randomness. In this paper, we will present heuristics, theorems, and a few illustrations on the Fourier spectrum and deterministic random time series, based upon our understanding of certain rapid oscillations in chaos.     

Noisy image segmentation based on nonlinear diffusion equation model

This paper addresses the segmentation problem in noisy image based on nonlinear diffusion equation model and proposes a new adaptive segmentation model based on gray-level image segmentation model. This model also can be extended to the vector value image segmentation. By virtue of the prior information of regions and boundary of image, a framework is established to construct different segmentation models using different probability density functions. A segmentation model exploiting Gauss probability density function is given in this paper. An efficient and unconditional stable algorithm based on locally one-dimensional (LOD) scheme is developed and it is used to segment the gray image and the vector values image. Comparing with existing classical models, the proposed approach gives the best performance.