Application of SDL in the Digital System Design

As a standardized formal language, the SDL has widely been used in the software development. In order to extend its application field, it has been explored to use in hardware design.This paper gives a logical gate circuit-and gate as an example to explain the method of applying SDL to describe and simulate/validate the hardware characters by the SDT tool. The various logic circuits or digital circuits may be made to the SDL packages because the SDL supports the object oriented technology. These packages can be directly invoked in the design of the complex digital system, so it is possible to describe and simulate/validate the complex digital system.The experiment has proved that the application of SDL for hardware design is feasible and rather convenient.     

Electronegativity Scale of Elements Calculated by Density Functional Theory and Related Methods

In chemistry and many related fields, electronegativity (EN) is an important fundamental concept and its scale is a useful physcochemical parameter. Here, calculations of both ionization potentials and electron affinities are extended toward 107 elements and done by density functional theory at the local density approximation(LDA) level and the LDB level, i.e., the local density approximation level with further non-local corrections for exchange and correlation included self-consistently as well as the modified Slater transition-state method. The definite-differentiation method is employed into calculations of the electronegativity scale and the related parameters of 107 elements with very good results due to the consideration of relativistic effects. The calculation presented is to examine both the LDA and LDB approximations in calculations for the ionization potential and electron affinity of the elements with an improved or modified Slater transition-state method, and relativistic effects have also been taken into account for 107 elements compared with 103, 86 or less in the previous report under a spin polarized density function theory with some approximations to the exchange-correlation function. The calculation results for the various quantities represent an obviously improvement over some previous calculations. It is shown that the results calculated by the extended technique and the improved Slater transition-state method in general agree well with experimental values presented by Pearson, and are better than the reported values in many previous literatures. The developed new electronegativity scale will widely be applicable in many fields such as molecular structural parameterization expression, chemobiological activity optimization prediction, structure-activity quantitation modeling, functional chemical adaptization designing, and so on.     

Application of Intelligent Neural Network on Prediction of Time Series Signal

The research of neural network has been maturated both in theory and practical application since 1980's, and also been employed into the prediction and analysis of nonlinear time series signal in the field of signal process system. Concerning with the problem of time series signal prediction based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, this paper presents a different neural network prediction model from the traditional ones, based on intelligent neural cell model and employing the iterative prediction method. Through the example on stock price prediction, the prediction accuracy and practical value are proved.     

The Extended Kalman Filter Data Fusion Algorithm Based on Discrete Stationary Wavelet Transformation

It is difficult to establish precise mathematical model in extended Kalman filter data fusion algorithm for GPS/ DR integrated vehicle navigation system, an improved extended Kalman filter data fusion algorithm is put forward based on Discrete stationary wavelet transformation. The simulation results show that the algorithm is better than the extended Kalman filter data fusion algorithm, and is available for GPS/DR integrated vehicle navigation system.     

棉花黄萎病菌分子生物学研究新进展

本文以分子生物学研究手段为纲 ,从RFLP、RAPD、ITS等方面 ,综述了国内外在棉花黄萎病菌种内划分及致病力分化上的研究状况及最新进展     

棉花黄萎病抗性鉴定新方法——无底塑钵菌液浇根法

通过一系列的试验 ,笔者发展了一种快速鉴定棉花品种抗黄萎病性能的新方法—无底塑钵菌液浇根法 ,此法比传统的纸钵撕底醺根法更简便 ,发病较轻 ,能准确客观地反映品种的抗性     

自组织竞争人工神经网络在土壤分类中的应用

利用自组织特征映射网络 (SOM网络 )的聚类功能 ,应用 MATL AB 5 .3软件编程 ,对三江平原地区的 2 1个土壤采样进行了分类 ,并与有关文献的模糊聚类分析结果进行了比较 ,指出 SOM网络可以很好地反映、提取土壤样本间复杂的信息 ,分类效果较好 ,可以在土壤分类中应用     

乙烯与1-甲基环丙烯对荔枝采后果皮褐变的影响

乙烯处理虽然诱导了荔枝果皮多酚氧化酶（PPO）及过氧化物酶（POD）活性的提高，在一定程度上提高了荔枝果实的乙烯释放量和呼吸速率，但对果皮褐变指数和果实营养成分没有显著影响；1－甲基环丙烯（1－MCP）处理对荔枝果实的呼吸、乙烯、PPO、POD及营养成分均无显著影响，也不能延缓果皮褐变，表明荔枝果皮褐变是一个对乙烯不敏感的生理过程，也表明了果皮褐变不能简单地归结为PPO及POD催化的酶促褐变。     

林芝牦牛毛绒纤维物理特性及其超微结构研究

对 5岁林芝牦牛 2 0头公牛和 2 5头母牛背、腹部毛绒纤维的物理特性及其超微结构进行了测定与观察。结果表明 :公、母牛背、腹部粗毛的伸直长度分别为 8.82± 3.40、2 3 .2 3± 8.2 0、5 .6 2± 1.19、18.95± 4.84cm ,母牛腹部绒毛的伸直长度为 4.74± 0 .72cm ;公、母牛背、腹部粗毛的细度分别为 5 2 .99± 10 .72、73.32± 7.2 0、5 4.6 3± 10 .0 2、6 5 .96± 6 78μm ,母牛腹部绒毛的细度为 17.35± 2 .2 2 μm ;公、母牛背、腹部粗毛的强度分别为 41.16± 9 32、38.82± 3 .2 8、31 19± 7.87、33 .88± 5 .84g ,母牛腹部绒毛的强度为 15 .2 8± 2 .96g ;公、母牛背、腹部粗毛的伸度分别为 41.84%、46 73%、41.2 1%、45 .76 % ,母牛腹部绒毛的伸度为 43 .91%。林芝牦牛粗毛和绒毛的鳞片排列形态均为覆瓦状形     

转Bt基因棉32B 不同生育期抗虫性的变化及其机理

对转Bt基因抗虫棉“32B”不同生育期抗虫性以及叶片中Bt毒蛋白、水溶性蛋白、总蛋白、单宁含量进行了测定与分析。转Bt基因棉各生育期抗虫性动态变化趋势为 :整个苗期抗虫性均较强 ,现蕾期有所下降 ,生长中后期显著下降至最低。研究表明 :32B棉叶中Bt毒蛋白含量的变化与生测抗虫性的动态变化一致 ,并与棉叶中蛋白质代谢呈正相关 ,苗期叶片中蛋白质合成代谢旺盛 ,Bt毒蛋白含量则高 ;生长后期叶片中蛋白质合成代谢衰退 ,Bt毒蛋白含量则降低 ;叶片中单宁含量与生测抗性及叶片蛋白质含量、Bt毒蛋白含量均呈负相关 ,表明单宁与Bt毒蛋白含量及抗虫性之间可能存在拮抗作用