迭代函数系统的快速生成方法

提出了迭代函数系统的快速生成方法，采用无逃逸行为的生成算法和最少点绘制的生成算法进行分形图像的生成，算法可以并行执行，实验证明并行算法的执行时间仅为传统随机迭代算法中单个仿射变换的生成时间，为分形图像的快速生成提供了新的途径．     

来自多尺度分析的R iesz基

不采用正交化方法,给出了来自多尺度分析的R iesz小波基的具体形式以及小波基母函数ψ(x)与尺度函数φ(x)的关系.建立了基于这种R iesz基的分解与重构算法.     

多晶Co膜退火前后磁滞标度行为研究

研究了多晶Co薄膜制备态与退火态的磁滞回线与标度行为，结果表明：对易轴方向A∝A0＋H^（0.67-1.00）Ω^0.90，对难轴方向A∝A0＋H^（1.75-2.50）Ω^（1.45-0.95），与理论计算（α=0．95，β=0．28（Heisenberg模型））作比较，A与H的关系符合的较好，A与Ω的指数关系有些差异，这种差异还有待进一步研究。     

Comments on scaling effect of reciprocity in BRDF study

Reciprocity principle is a common theory in electromagnetics and optics. It is also one of the general principles of the radiation transformation theory. However, in many remote sensing studies, this principle cannot be always supported by experimental data, especially when the scaling effect of the remote sensing image pixel is considered. The debate over the issue of whether the reciprocity principle can be used as a fundamental standard in evaluating the effectiveness of remote sensing observations has lasted for years. Using geometrical optics model, Li and Wan proved the existence of the scaling effect in applying the reciprocity principle to a remote sensing image pixel in 1998. In 2002, Snyder challenged Li's proof, and attempted to prove that reciprocity principle is universally valid without any scale limitation. In this paper, we will argue with Snyder's theory and point out that Snyder's theory had neglected an important condition used in Li's proof and, as a result, drawn the wrong conclusion. Here we will restate Li's condition in his demonstration and offer a further proof to verify that reciprocity principle cannot be applied unconditionally to the study of bi-directional reflectance distribution function (BRDF) of land surfaces in field or satellite remote sensing observation scale.     

Simple scaling relations in geodynamics： the role of pressure in mantle convection and plume formation

Scaling relations are important in extrapolating laboratory experiments to the Earth‘s mantle. In planetary interiors, compression becomes an important parameter and it is useful to explore scalings that involve volume. I use simple volume scaling relations that allow one to extrapolate laboratory experiments and upper mantle behavior, in a thermodynamically self-consistent way, to predict lower mantle behavior. The relations are similar to the quasi-har-monic approximation. Slabs and plates have characteristic dimensions of hundreds of kilometers and time constants of 100 million years, but the volume scalings predict order of magnitude higher values in the deep mantle. The scaling relations imply that the deep mantle is a sluggish system with ancient features. They imply irreversible chemical stratification and do not favor the plume hypothesis.     

An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available，and able to support on-line scaling without interrupting service. To support more client’s queries without downtime and degrading the response time，more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use，i.e.，we decrease the number of data copy by reusing te backup data. Also，our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

左截断右删失数据下尺度参数与协变量相关时广义指数分布的估计及应用

在左截断右删失数据类型下,当时间变量T服从广义指数分布时,针对尺度参数是否受协变量影响建立两种模型,并用极大似然估计法给出参数估计,用Newton-Raphson算法求解参数估计.将两种模型分别应用到变压器寿命数据集和Channing house数据集中,得到了其生存函数和风险函数.     

距离修正的混沌粒子群多维标度定位算法

针对不规则网络以及网络空洞造成估计距离与欧氏距离相差较大,导致定位精度不足这一问题,提出一种距离修正的混沌粒子群多维标度定位算法(CMDS-CPSO).首先通过递推策略计算节点对距离,利用接收信号强度对距离加权修正,以减少距离误差,回避网络空洞问题.然后采用混沌粒子群算法对坐标转化参数问题进行优化,进一步降低坐标转换中参数所带来的影响.通过对比SPSO-MDS算法与MDS-DMC算法,仿真结果表明,距离修正的混沌粒子群算法能够明显改善节点定位精度,具有更好的鲁棒性和对不规则网络的适应性.     

近临界紧邻随机游动局部时的重整化极限

Lamperti于1961年证明了在适当条件下, 半直线上一类近临界的紧邻随机游动经过重整化会弱收敛到布朗运动. 考虑过程局部时重整化的极限问题, 运用随机游动的内蕴分枝结构以及非时齐分枝过程重整化极限的结果, 证明了其局部时经过适当的重整化会收敛到布朗运动的局部时.      

高盐工业废水浓缩工艺中的换热器结垢机理和阻垢技术

高盐废水处理是环境保护领域的主要研究对象，其高含盐量和高硬度的特征提高了污水处理工艺难度。国家对污染物提出的“零排放”要求使得热蒸发成为了高盐废水处理的必经之路，随之带来的换热器结垢问题给蒸发浓缩工艺带来了巨大的阻垢难题。因此，针对高盐废水的有效阻垢技术成为了研究热点。介绍了高盐废水工业处理中的结垢机理和影响因素，并对现有的阻垢技术进行总结分析，为研究高盐废水换热器结垢、除垢、阻垢问题提供研究思路。