Estimation in Random Coefficient Autoregressive Models

Abstract. We propose the quasi‐maximum likelihood method to estimate the parameters of an RCA(1) process, i.e. a random coefficient autoregressive time series of order 1. The strong consistency and the asymptotic normality of the estimators are derived under optimal conditions.     

Interactive fuzzy stochastic multi-level 0–1 programming using tabu search and probability maximization

In this paper, we consider interactive fuzzy programming for multi-level 0–1 programming problems involving random variable coefficients both in objective functions and constraints. Following the probability maximization model together with the concept of chance constraints, the formulated stochastic multi-level 0–1 programming problems are transformed into deterministic ones. Taking into account vagueness of judgments of the decision makers, we present interactive fuzzy programming. In the proposed interactive method, after determining the fuzzy goals of the decision makers at all levels, a satisfactory solution is derived efficiently by updating satisfactory levels of the decision makers with considerations of overall satisfactory balance among all levels. For solving the transformed deterministic problems efficiently, we also introduce novel tabu search for general 0–1 programming problems. A numerical example for a three-level 0–1 programming problem is provided to illustrate the proposed method.     

COMPUTER SIMULATION OF HYDRODEMETALLATION IN FIXED-BED REACTORS

An isothermal model for hydrodemetallation (HDM) of crude oils in catalytic fixed-bed reactors is proposed. This model involves a consecutive reaction mechanism, which is capable of accounting for particle deposit profiles with interior maxima. Consistent with the fact that HDM catalysts are conglomerates formed by precipitation, the porous catalyst itself is modeled as randomly overlapping spheres of equal size. The metal is deposited as growing metal sulfide crystallites on the inner surface of the catalyst. These crystallites originate from a certain number of randomly scattered nuclei and increase in size as the deposition proceeds. The random sphere model for the catalyst and the deposit provides the changes in the catalyst pore structure—local porosity and surface area.

The mass transport within the domain of the particle is due to restricted liquid diffusion, since the diameter of the metal bearing compound (porphyrin) and the intermediate are comparable to the pore size. The diffusion restrictions taken into account are the enhanced drag imposed on a molecule by adjacent pore walls and steric partitioning.

Since the deposition process is much slower than diffusion and reaction, the pseudo-steady-state assumption can be justified. The equations of conservation for mass are solved by orthogonal collocation on finite elements. Based on this solution technique a computer simulation program of HDM is designed that allows two modes of operation: constant temperature and constant conversion. The simulation program “SIMULA” is highly flexible with regard to reaction kinetics, catalyst structure, reactor design, and operating conditions. In comparison to a base case with uniform activity, the effect of intraparticle (radial) and bed (axial) activity profiles on the conversion rate is discussed. For the case investigated, a radial distribution of activity higher at the center of the particle than at the edge can increase catalyst life by 25%, but axial distribution was less successful.     

多尺度空间特征提取的脊柱图像拼接算法

针对脊柱图像视野有限,提出一种基于优化MSFE的脊柱图像自动拼接算法。设计出一种基于尺度因子变化的高斯卷积模板尺寸自适应调整以及双向配对办法;相似性度量采用城市距离;利用RANSAC算法去除错配,从而确定待拼接图像之间的变换参数,最后利用加权平均对图像融合。对实际取得的多幅脊柱图像拼接结果表明该算法具有很好的实时性和鲁棒性。     

整数的最佳带符号二进制表示的随机生成算法

整数的带符号数字(BSD)表示广泛应用于计算机算术、密码学、数字信号处理等领域。给定整数有多种最佳带符号二进制表示。对整数的最佳带符号二进制表示的性质进行研究,给出了整数的最佳带符号二进制表示随机生成算法,所得算法能快速产生给定整数的随机最佳带符号二进制表示。     

火焰原子吸收光谱法测定硅粉中的铜

介绍了用火焰原子吸收法测定工业硅粉中微量铜的具体方法和过程，同时也给出了最佳实验条件。实验中采用新的样品处理方法，得到了令人满意的结果。其中样品回收率为99．8％—104．0%，相对标准偏差为0．31％—0.38％。本方法在实际应用过程中，简单、快速、     

φ-混合随机变量序列加权和的完全收敛性

讨论了同分布下的φ-混合随机变量序列的完全收敛性,构建了1个定理和1个推论,它改进了前人的一些研究成果,获得了更一般的结论．     

网络控制系统随机延迟的预测控制

针对网络控制系统随机时延、时变等特性造成控制效果不理想的问题,提出一种改进的广义预测控制与递推最小二乘法相结合的预测控制策略.上述控制策略将传统的预测控制运用于网络控制系统中,针对网络随机时延的特性,采用改进的广义预测控制算法对随机时延进行补偿.结合分段可变遗忘因子递推最小二乘法对被控对象模型参数进行在线辨识,可以减少网络控制系统参数突变对系统造成的不利影响.仿真结果表明,所提出的预测控制策略可以有效解决网络控制系统随机时延问题,并且在参数突变的情况下也能够获得良好的控制效果.     

车载自组织网络分布式入侵检测算法研究

随着汽车产业的发展,汽车给我们带来便利的同时也给我们带来一系列的问题,例如交通拥堵、交通安全等。为了解决这些问题车载自组织网络应运而生。但是车载自组织网络中信息安全问题一直存在,采用分布式入侵检测模型和基于此模型下的改进随机森林分类算法可以很好地解决这个问题。