Genetic algorithm‐based wavelength selection method for spectral calibration

In this paper, we propose a genetic algorithm‐based wavelength selection (GAWLS) method for visible and near‐infrared (Vis/NIR) spectral calibration. The objective of GAWLS is to construct robust and predictive regression models by selecting informative wavelength regions. To demonstrate the ability of the proposed method, regression models for soil properties and sugar content of apples are constructed by using GAWLS and other variable selection methods. Copyright © 2010 John Wiley & Sons, Ltd.     

Comparative study of kinetic modeling for the oxidative coupling of methane by genetic and marquardt algorithms

Overall kinetic studies on the oxidative coupling of methane, OCM, have been conducted in a tubular fixed bed reactor, using perovskite titanate as the reaction catalyst. The appropriate operating conditions were found to be: temperature 750-775 ℃, total feed flow rate of 160 ml/min, CH4/O2 ratio of 2 and GHSV of 100 min-1. Under these conditions, C2 yield of 28% was achieved. Correlations of the kinetic data have been performed with lumped rate equations for C2 and COx formation as functions of temperature, O2 and CH4 partial pressures. Six models have been selected among the common lumped kinetic models. The selected models have been regressed with the experimental data which were obtained from the Catatest system by genetic algorithm in order to obtain optimized parameters. The kinetic coefficients in the overall reactions were optimized by different numerical optimization methods such as: the Levenberg-Marquardt and genetic algorithms and the results were compared with one another. It has been found that the Santamaria model is in good agreement with the experimental data. The Arrhenius parameters of this model have been obtained by linear regression. It should be noted that the Marquardt algorithm is sensitive to the first guesses and there is possibility to trap in the relative minimum.     

Quantitative analysis of triazine herbicides in environmental samples by using high performance liquid chromatography and diode array detection combined with second-order calibration based on an alternating penalty trilinear decomposition algorithm

A novel application of second-order calibration method based on an alternating penalty trilinear decomposition (APTLD) algorithm is presented to treat the data from high performance liquid chromatography-diode array detection (HPLC-DAD). The method makes it possible to accurately and reliably analyze atrazine (ATR), ametryn (AME) and prometryne (PRO) contents in soil, river sediment and wastewater samples. Satisfactory results are obtained although the elution and spectral profiles of the analytes are heavily overlapped with the background in environmental samples. The obtained average recoveries for ATR, AME and PRO are 99.7 ± 1.5, 98.4 ± 4.7 and 97.0 ± 4.4% in soil samples, 100.1 ± 3.2, 100.7 ± 3.4 and 96.4 ± 3.8% in river sediment samples, and 100.1 ± 3.5, 101.8 ± 4.2 and 101.4 ± 3.6% in wastewater samples, respectively. Furthermore, the accuracy and precision of the proposed method are evaluated with the elliptical joint confidence region (EJCR) test. It lights a new avenue to determine quantitatively herbicides in environmental samples with a simple pretreatment procedure and provides the scientific basis for an improved environment management through a better understanding of the wastewater-soil-river sediment system as a whole.     

基于Turbo协同分集的通信方案的性能仿真

本文基于Turbo码和协同通信的相关理论,提出一种新的基于Turbo协同分集的协同通信方案。在加性高斯白噪声和瑞利快衰落的两种信道条件下的仿真结果表明,基于Turbo协同分集的协同通信方案比现有的基于Turbo编码的协同通信方案具有更优的误比特率性能。     

基于雷达杂波图的CFAR算法

在研究现代三坐标(3D)雷达中三维杂波图的形成原理的基础上,将各种恒虚警(CFAR)算法应用于轮廓杂波图中,得出采用有序统计(OS)算法不但可较好的对杂波建立标志,对杂波外的目标不建立标志位,且对慢速目标有较好的检测效果。此外,给出了其在现场可编程门阵列(FP-GA)中的实现。     

MIMO雷达正交离散频率编码波形设计

MIMO雷达通过发射相互正交的信号能有效提高雷达的性能。设计具有低自相关旁瓣和低互相关的正交信号是MIMO雷达实现的关键。本文以自相关、互相关峰和能量为代价函数,基于改进的遗传算法,采用非全码来优化设计离散频率编码,进行了仿真优化设计。结果表明该算法是有效的。     

改进的Wu-Manbe算法在网闸中的实现

通过字符串匹配算法来实现文本过滤,在深入分析了现有串匹配算法的基础上,根据网闸数据从外网过渡到内网的特点,对传统的字符串匹配算法Wu-Manber进行详细分析,设计并实现了一种适合中文字符集和网闸的模式匹配算法RWM,并对改进的算法进行了实验分析。实验表明,所设计的算法在运行时间和尝试次数方面优于其他算法,满足网闸对不良信息进行查询和过滤的要求,能够解决网闸的文本过滤问题。     

An application of univariate marginal distribution algorithm in MIMO communication systems

The paper discusses a sequence detector based on univariate marginal distribution algorithm (UMDA) that jointly estimates the symbols transmitted in a multiple input multiple output (MIMO) communication system. While an optimal maximum likelihood detection using an exhaustive search method is prohibitively complex, it has been shown that sphere decoder (SD) achieves the optimal bit error rate (BER) performance with polynomial time complexity for smaller array sizes. However, the worst‐case complexity of SD is exponential in the problem dimensions, this brings in question its practical implementation for larger number of spatial layers and for higher‐order signal constellation. The proposed detector shows promising results for this overly difficult and complicated operating environment, confirmed through simulation results. A performance comparison of the UMDA detector with SD is presented for higher‐order complex MIMO architectures with limited average transmit power. The proposed detector achieves substantial performance gain for higher‐order systems attaining a near optimal BER performance with reduced computational complexity as compared with SD. Copyright © 2009 John Wiley & Sons, Ltd.     

An improved quantum-inspired evolutionary algorithm for coding resource optimization based network coding multicast scheme

This paper investigates how to minimize the required coding resources in network-coding-based multicast scenarios. An evolutionary algorithm (MEQEA) is proposed to address the above problem. Based on quantum-inspired evolutionary algorithm (QEA), MEQEA introduces multi-granularity evolution mechanism which allows different chromosomes, at each generation, to have different rotation angle step values for update. In virtue of this mechanism, MEQEA significantly improves its capability of exploration and exploitation, since its optimization performance is no longer overly dependant upon the single rotation angle step scheme shared by all chromosomes. MEQEA also presents an adaptive quantum mutation operation which is able to prevent local search efficiently. Simulations are carried out over a number of network topologies. The results show that MEQEA outperforms other heuristic algorithms and is characterized by high success ratio, fast convergence, and excellent global-search capability.     

基于DSP与FPGA的全姿态指引仪图形显示系统设计

针对机载电子全姿态指引仪显示图形信息的特征及其变化特点,在系统初始化时将图形内容分为背景层、填充层和动态字符层三层,运算过程中只改变根据参数变化的填充层和字符层;将图形运算过程分为图形轮廓生成和硬件区域填充,分别由DSP软件标记区域边界,FPGA根据标记硬件完成区域填充;同时图形运算处理算法在所设计的DSP＋FPGA的硬件平台上进行了实现与验证,结果表明,这种图形处理方法减轻了传统处理方法中主处理器的运算负担,很大程度上提高了系统的实时性。