A New Adaptive Sequential Diagnosis Algorithm in the PMC Model

We present an adaptive algorithm for sequential diagnosis in the PMC model,which can directly identify a faulty processor without first identifying a fault-free processor.     

Real-time Performance of Linux System

The standard Linux is a typical time-sharing system, it has a poor real-time performance. But according to the applications of the Linux OS are expanding on real-time domain, it becomes necessary to enhance the performance of the Linux system. This paper analyses the schedule policies and schedule algorithms of the Linux kernel, and discusses several different kinds of methods about enhancing real-time performance of the Linux system from the total Linux system. They authors summarizes the current research's developments of the Linux system.     

Automatic Fingerprint Classification by GA-Based Neural Network

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.     

Avoiding Obstacle Planning for Robots on Molecular Optimization Algorithm

Interest in DNA computing has increased overwhelmingly since Adleman successfully demonstrated its capability to solve Hamiltonian Path Problem. This article introduces the improving method in virtue of the biological thery of DNA technology, a new molecular algorithm is advanced. After a numerical simulation, the result shows that it avoids the prematurely and lower convergent speed of the classic genetic algorithm, and inherits global search capability, the validity and the speed of the genetic algorithm have been increased. The best result can be obtained in few iterative times. It is fit for solving path planning problem.     

棉花对红铃虫抗性及有关性状的遗传分析

1990～1991年选用对红铃虫抗性有显著差异的8个棉花稳定基因型,按第二种双列杂交方案分析棉花对红铃虫的抗性遗传行为,测试48个性状,结果表明:(1)侵入率和子害率的h_B中等,GCV较大;铃壳厚度、衣指和衣分的h_B较高,GCV也较大;铃壳致密度、单铃重和子指h_B较高而GCV较小;铃壳含水量等11个性状h_B中偏低,GCV也较小。(2)子指和绒长的GCA和SCA差异均显著,子仁丹宁含量的SCA差异显著而GCA不显著,子害率、铃壳含水量、子仁淀粉、单铃重、衣指、衣分、纤维比强度、伸长率和麦克隆值均为GCA差异显著而SCA不显著。(3)以83—82、7211、7209、1118和华棉101为亲本可提高后代的抗性。(4)铃壳的4个厚度性状、致密度、含水量、丹宁含量和子仁的类黄酮、总酚共9个理化性状与抗性至关,而遗传特点较好或中等,子害率与主要经济性状间的遗传相关系数多为较高正值。本文还就有关问题进行了讨论。     

大麦多数量性状相关分析

穗长、穗粒重两性对小区产量直接影响较大;每穗实粒数和每穗不实粒两性状数对小区产量直接影响很小,但通过其他性状对小区产量的间接负影响很大;每穗总粒数对小区产量直接负影响很大,株高通过其他性状对小区产量间接正影响很大。     

Study on Genetic Fingerprinting Technique of Microbial Communities

The 99% of all microorganisms in naturecannot be isolated by standard culture methods without conspicuous external characters to classify them morphologically. In addition, classification based on physiological or biochemical features are often fuzzy. Molecular techniques are used for uncultured microorganisms to explore the diversity of microbial communities and novel resources without the need of cultivation. DNA dynamics and cloning of PCR products obtained from environmental DNA is now routinely used to identify microbial populations in microbial ecology. For practical reasons the approach is not suited to study the complex dynamics of microbial communities in environment. Genetic fingerprinting techniques are better tools, which give complement for the traditional microbiological methods. The methods are rapid and relatively easy to perform, and they allow the simultaneous analysis of multiple samples, which makes it possible to compare the genetic diversity of microbial communities from different habitats, or to study the behaviour of individual communities over time.     

X射线灭活活体日本沼虾精子的初步研究

为检测X射线对日本沼虾精子的灭活效果,利用X射线对雄性日本沼虾进行不同时间的照射处理,将处理后的雄虾与刚完成生殖脱壳的雌虾交配。待雌虾产卵后,计数雌虾抱卵天数,并在显微镜下观察卵的畸形情况。X射线管照射强度为100 k V,5 m A,源距10 cm,照射时间为0、30、60、90、120 min。结果发现:照射30 min组的抱卵天数及卵的畸形率较0 min组无变化,卵的畸形率为0,卵能正常发育至孵化出膜。随着照射时间的增加,在30~90 min之间,雌虾抱卵天数逐渐减少,且所抱卵的畸形率呈上升趋势。照射120 min组的抱卵天数较90 min组变化不大,卵的畸形率达100%。在本试验照射时间范围(0~120 min)内,灭活日本沼虾精子遗传物质的最佳照射时间为90~120 min。     

基于混沌算法的工程车辆自动变速神经网络控制

为了克服BP神经网络收敛速度慢和易陷入局部极小点的不足，提出了一种基于混沌算法的工程车辆自动变速神经网络控制方法，并利用ZL50型装载机传动系统换挡控制试验的数据进行了验证性仿真试验。仿真结果表明：该方法对于车辆自动换挡智能控制是可行的，可以根据操作工况实现正确的变速挡位决策。     

泵站竖井进水流道数值模拟与装置特性试验

采用雷诺平均纳维—斯托克斯方程(RANS)和标准kε湍流模型,运用SIMPLEC算法,对椭圆型线前置竖井贯流进水流道内的流动进行了三维数值计算,揭示了竖井进水流道内流场、特征断面的速度分布及水力损失规律。对椭圆型线竖井进水流道与出水流道匹配组成的模型泵装置进行动力特性试验,得出了4种叶片角度下的泵装置特性曲线。研究结果表明:采用椭圆型线设计的竖井进水流道合理;大型低扬程泵站采用卧式竖井贯流结构,泵装置效率较高。