基于Agent的分形供应链自适应协同计算

应用分形、智能Ａｇｅｎｔ和神经网络自适应控制技术,研究分形供应链适应环境变化的结构模式和策略模式．探讨了分形供应链Ａｇｅｎｔ关联结构,提出了分形供应链双层自适应协同计算模式,论述了资源Ａｇｅｎｔ,信息协调Ａｇｅｎｔ,人机交互Ａｇｅｎｔ和领域计算Ａｇｅｎｔ之间的相互作用关系．以一个分形模块的策略协同为分析对象,研究了领域单元的自适应协同计算模式,分析了分形模块的成本模型,并对基于Ａｇｅｎｔ交互的神经网络模型部分进行了算例仿真．     

基于分形参数的可控木纹纹理仿真

自然景物的模拟是计算机图形学中具有挑战性的研究方向之一.木纹纹理仿真是自然环境模拟中不可缺少的重要组成部分,但由于木纹纹理生成的复杂性和随机性,使得对其进行逼真仿真十分困难.在分析分形布朗运动以及随机中点位移法的基础上,讨论了中点位移法中各参数对分形曲线的影响,提出了一种非常简单的、基于参数可控的木纹纹理生成算法.仿真结果表明,方法具有快速、简单、高效,可控的特点,通过改变参数能较好地实现真实木纹纹理的仿真.     

一种结合矩阵相关系数的快速分形图像编码

分形编码是一种非常有潜力的压象压缩技术,但其算法过程耗时较长和计算复杂性过高,因此需要一种减少编码时间的方法.针对此问题,根据分形图像编码的特点,首先利用分形后定义域和值域之间的相关系数的大小来确定最佳的定义域块,提出了旨在降低编码复杂度和缩短编码时间的一种改进的快速分形编码算法.算法在编码搜索过程中,仅搜索符合条件的父块,从而减少搜索范围,降低编码时间.实验结果表明,算法与基本分形算法比较,在峰值信噪比和图像质量可以接受的情况下,使编码速度大大加快.     

Valuations,regular expressions,and fractal geometry

Valuations — morphisms from ( _n ^* ,·,) to ((0, ), ·, 1) — are a simple generalization of so-called Bernoulli morphisms. In this paper, we show a characterization of strongly unambiguous regular expressions with the help of valuations and formal power series. We apply these algebraic results to the determination of Hausdorff dimensions of fractals described by regular expressions.     

Real time fractal image coder based on characteristic vector matching

Fractal coding algorithm has many applications including image compression. In this paper a classification scheme is presented which allows the hardware implementation of the fractal coder. High speed and low power consumption are the goal of the suggested design. The introduced method is based on binary classification of domain and range blocks. The proposed technique increases the processing speed and reduces the power consumption while the qualities of the reconstructed images are comparable with those of the available software techniques. In order to show the functionality of the proposed algorithm, the architecture was implemented on a FPGA chip. The application of the proposed hardware is shown in image compression. The resulted compression ratios, PSNR error, gate count, compression speed and power consumption are compared with the existing designs. Other applications of the proposed design are feasible in certain fields such as mass–volume database coding and also in video coder’s block matching schemes.     

A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors

A sequential model is developed to disaggregate microwave-derived soil moisture from 40 km to 4 km resolution using MODIS (Moderate Imaging Spectroradiometer) data and subsequently from 4 km to 500 m resolution using ASTER (Advanced Scanning Thermal Emission and Reflection Radiometer) data. The 1 km resolution airborne data collected during the three-week National Airborne Field Experiment 2006 (NAFE'06) are used to simulate the 40 km pixels, and a thermal-based disaggregation algorithm is applied using 1 km resolution MODIS and 100 m resolution ASTER data. The downscaled soil moisture data are subsequently evaluated using a combination of airborne and in situ soil moisture measurements. A key step in the procedure is to identify an optimal downscaling resolution in terms of disaggregation accuracy and sub-pixel soil moisture variability. Very consistent optimal downscaling resolutions are obtained for MODIS aboard Terra, MODIS aboard Aqua and ASTER, which are 4 to 5 times the thermal sensor resolution. The root mean square error between the 500 m resolution sequentially disaggregated and ground-measured soil moisture is 0.062 vol./vol. with a bias of − 0.045 vol./vol. and values ranging from 0.08 to 0.40 vol./vol.     

基于遗传算法的海底沉积物纹理特征优化方法

为了提高水下机器人对海底沉积物的自主分类感知能力,解决特征冗余问题,对利用遗传算法优化海底沉积物纹理特征进行了研究。以基于灰度共生矩阵和分形理论提取多种海底沉积物视觉纹理特征实现海底沉积物分类识别为背景,提出利用遗传算法对纹理特征项进行优化选择以实现对提取特征的降维,并将降维后的特征项作为自组织映射神经网络模型的输入,对海底沉积物进行视觉分类,提高水下机器人作业时的环境感知能力。实验结果表明,相对于未优化的纹理特征,优化后的纹理特征在海底沉积物分类识别中具有更优的分类效果。     

A fast MATLAB program to estimate the multifractal spectrum of multidimensional data: Application to fractures

A MATLAB^® program based on the Hou algorithm for estimation of fractal dimension and multifractal spectrum of fractures is presented. The program performance was tested with many synthetical fractals and field data. Interpolation and sampling effects on the fractal dimension and multifractal spectrum estimation were also studied. Some common problems related to the fractal dimension and multifractal spectrum are also discussed.     

一种新的累加自动地形生成方法*

提出了一种新的基于分形的累加自动地形生成方法,首先引入断裂形成算法作为地形高度生成器的初始模型,通过控制幅度和迭代次数,生成形态各异的地形轮廓,然后从分形理论fBM数学模型出发,使用中点位移法对初始模型进行迭代处理,生成丰富的地形细节。该方法的主要优点是自动性和可控性的结合,一方面通过设置断裂形成算法的参数可以自动生成特征模板,另一方面通过控制分形参数,生成任意层次的地形细节。实验表明,使用该方法可以生成真实感较强的地形,该方法是可行且有效的。     

植物三维建模方综述

A series of plant’s 3D modeling methods are introduced in this paper.They include fractal modeling method,A-system,particle system,L-system,layer based modeling method, mcdeling method faithtul to botanical structure and development and interactive modeling method.This will be helpful in the future research of plant’s 3D model.