Automatic computation of pebble roundness using digital imagery and discrete geometry

The shape of sedimentary particles is an important property, from which geographical hypotheses related to abrasion, distance of transport, river behavior, etc. can be formulated. In this paper, we use digital image analysis, especially discrete geometry, to automatically compute some shape parameters such as roundness, i.e. a measure of how much the corners and edges of a particle have been worn away.In contrast to previous work in which traditional digital images analysis techniques, such as Fourier transform, are used, we opted for a discrete geometry approach that allowed us to implement Wadell's original index, which is known to be more accurate, but more time consuming to implement in the field.Our implementation of Wadell's original index is highly correlated (92%) with the roundness classes of Krumbein's chart, used as a ground-truth. In addition, we show that other geometrical parameters, which are easier to compute, can be used to provide good approximations of roundness.We also used our shape parameters to study a set of pebbles digital images taken from the Progo basin river network (Indonesia). The results we obtained are in agreement with previous work and open new possibilities for geomorphologists thanks to automatic computation.     

中医针灸临床治疗专家系统的研究与实现

中医针灸是国之瑰宝,构建中医针灸专家系统是本研究和实践的目标。在《中医针灸信息库》原系统基础上,结合穴位和疗法的有限可枚举性,提出映射样本穴位疗法为二进制串、一种改进的距离函数和一种通过阈值作为收敛标准的K-means聚类算法,为实践目标奠定基础。运用一种评估聚类算法效果设计平衡点的策略,为6万余例针灸治疗案例构建知识库。实践结果表明,该知识库能满足"依病求医"、"依医问病"和知识更新等核心应用需要,查全和查准率好,也能很好地为中医针灸治疗咨询和教学科研提供辅助决策依据。     

基于支持向量机的干气制乙苯反应器出口温度预测模型研究

鉴于化工过程往往机理复杂、耦合性强、高度非线性,难于建立其机理模型,这时就需要采用经验建模的方法。支持向量机是一种新的机器学习方法,其基于结构风险最小化原则,用支持向量机建模不需要考虑对象机理,且对非线性问题有很好的效果,是一种良好的经验模型,己被应用于不少化工问题中。在本文中我们把支持向量机这一新颖算法应用于干气制乙苯反应器出口温度预测模型中,简要介绍了支持向量机的一些基本理论,在此基础上详细研究支持向量机在干气制乙苯反应器出口温度预测模型建模中的应用。首先,选择支持向量机的类型为ε-SVR,通过四种核函数在实际预测中误差的比较选择径向基(RBF)核函数作为本文支持向量机模型所用的核函数,之后应用交叉验证的方法选择最佳参数C=4,γ=0.0051543,最后建立预测模型并对训练集和预测集分别预测,预测结果相关系数在90%以上,说明模型精度达到要求。对支持向量机和遗传算法优化的BP神经网络算法的建模效果进行综合比较和讨论,得出支持向量机与传统建模方法相比有更好的预测准确率的结论。     

基于ARM和DSP的嵌入式运动控制器设计与实现

针对基于PC机和专用运动控制卡的传统数控系统的不足,提出了ARM微处理器(S3C2440)和数字信号处理芯片DSP(TMSC6713)双CPU主从式结构硬件平台,嵌入式Linux操作系统软件平台构建嵌入式运动控制器的方法;分别介绍了此嵌入式运动控制器主从控制板的硬件结构设计;软件方面,在Linux2.6内核环境下设计了FPGA的驱动程序,并给出了基于MiniGUI的人机界面设计以及DSP软件实现的程序结构框架;测试结果表明,该运动控制器工作可靠、运算能力强、结构灵活,精度达到1μm,在实践中有一定的借鉴意义。     

一种基于序列译码的快速相关攻击算法

快速相关攻击是一种重要的序列密码分析方法。该文提出一种基于卷积码的序列译码的快速相关攻击算法,首先利用特殊的校验方程将线性分组码转化为低码率卷积码,然后用卷积码的序列译码算法恢复出密钥。当记忆长度较大时,该算法显著地降低了中算法的译码复杂度。     

Modal parameter identification using Z-transforms

A method for the time domain identification of modal parameters of a vibrating structure using Z-transformation sequences is presented in this paper. This identification proceeds using the Z-transfer function of a vibrating structure from which an auto-regressive and moving-average (ARMA) model of the vibrating structure is derived. From this ARMA model and time domain data, the modal parameters can be identified. The time domain data can be obtained from single point or multiple shaker excitation modal testing. To demonstrate the application and efficiency of the method, a test on a simulated cantilever beam is presented.     

石油模型研究综述

针对石油能源开发综合研究问题,从时间序列、灰色理论、神经网络以及组合预测等不同的角度,对石油产量、价格、需求等单一模型的成果进行研究,并对各类模型优缺点进行比较.为进一步开展与石油问题相关的复杂系统建模提供参考,针对国家能源政策和能源政策分析的需要,与目前国际上比较具有代表性的综合能源模型系统,从复杂系统分析与建模的角度,介绍了各系统的建模方法、功能、应用.综合以上各类研究成果和现实需求,为今后石油以及能源模型的开发提出设想和展望.     

现代战争模拟研究的新方向：社会仿真

随着世界社会经济和科技水平的不断发展,特别是现代信息技术的发展,社会因素对战争的影响越来越突出,因此,战争模拟应该把视野扩展到传统研究之外的社会领域.主要阐述社会仿真概念的基本内涵,建模仿真基本方法,然后重点介绍社会仿真研究领域的基础设施建模研究、大规模群体行为建模研究以及国内外典型的大规模社会仿真系统,最后,介绍在该领域开展的部分研究工作,并指出我国在该领域展开研究工作的重要意义.     

人体压力分布测量及其传感技术

体压分布测量系统是测试病人坐卧时,人体与接触面之间压力的可视化工具.介绍了人体压力分布测量系统的一般结构,对其关键点--传感器技术作了较为详细的叙述.它们分别是电容式压力传感器;用电阻油墨制成的电阻式压力传感器阵列;压电电阻传感器等.有针对的介绍了国外三种典型的人体压力测试产品,Xsensor、Tekscan和FSA;论述了它们的主要特点及优缺点,并对其主要性能作了对比.最后介绍了自行设计的体压分布测量系统,并给出了实测结果.     

A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty

In this paper we deal with the application of differential inclusions to modeling nonlinear dynamical systems under uncertainty in parameters. In this case, differential inclusions seem to be better suited to modeling practical situations under uncertainty and imprecision than formulations by means of fuzzy differential equations. We develop a practical algorithm to approximate the reachable sets of a class of nonlinear differential inclusion, which eludes the computational problems of a previous set-valued version of the Heun’s method. Our algorithm is based on a complete discretization (time and state space) of the differential inclusion and it suits hardware features, handling the memory used by the method in a controlled fashion during all iterations. As a case of study, we formulate a differential inclusion to model an epidemic outbreak of dengue fever under Cuban conditions. The model takes into account interaction of human and mosquito populations as well as vertical transmission in the mosquito population. It is studied from the theoretical point of view to apply the Practical Algorithm. Also, we estimate the temporal evolution of the different human and mosquito populations given by the model in the Dengue 3 epidemic in Havana 2001, through the computation of the reachable sets using the Practical Algorithm.