并行求解三对角方程组的二分消元法

本文讨论用二分技术设计求解三对角方程组的并行算法,其中包括并行追赶法、奇偶消元法、奇偶约化法和块消元法等。文中阐述了这些算法的二分法特征。     

Wind vector retrieval using dual polarization imagery of ASAR

A new algorithm for retrieving wind vector using dual polarization imagery of advanced synthetic aperture radar (ASAR) is developed and tested. Based on the combination of co-polarization and cross-polarization, this new algorithm effectively eliminates the 180° ambiguity which occurs when using single imagery of the ASAR to retrieve wind vector. This algorithm also solves the problem that the retrieval results will break down on very small spatial scales. The results retrieved from dual polarization imagery of ASAR show that the wind speed and direction are in agreement with the data from Quikscat and buoy measurements. The root mean square errors of wind direction and speed between the retrieved results and data from Quikscat are 2.21° and 0.53 m/s, respectively. Comparisons between the new method and the traditional method show that the new methods fit the buoy data and Quikscat data a little better than the traditional method in this image.     

大跨度刚构桥箱梁抗剪承载力影响参数分析

以大跨度连续刚构桥箱梁的中墩附近节段和跨中弯矩变号附近节段为研究对象,建立相关分析模型,开展包括多种剪跨比与不同配箍率、不同腹板纵向普通钢筋配筋率及不同竖向预应力的组合共54种组合分析,得出各参数对抗剪承载力的影响,分析各项因素的抗剪作用和箱梁截面抗剪机理,为桥梁抗剪设计和计算方法提供依据.     

关于矩阵教学的一点探讨

本文利用相似矩阵的性质给出凯利-汉密尔顿定理,并用向量空间关于线性变换的准素分解推出n阶矩阵若当标准形及其求法.     

武夷山和九龙山崇安髭蟾的同工酶分析

本文采用聚丙烯酰胺凝胶垂直平板电泳的方法,对产于福建武夷山和浙江九龙山的崇安髭蟾(Vibrissaphora Liui Pope)作了四种器官组织(肝、心、脑、肾)乳酸脱氢酶(LDH)和酯酶(EST)同工酶的分析比较,结果表明,两个产地髭蟾的同工酶谱无差别,我们认为,武夷山和九龙山崇安髭蟾的形态差异只能是地理种群分化(geographical population differentiation),把这两个不同产地的髭蟾作为同一个种处理是恰当的。     

报业集团刊物发行量决策模型

分析了报业客户的组成,提出了有效读者和无效读者的观点;运用价值链的理论,深入探讨报业集团的价值链图.通过分析发行量与报业集团利润的关系,得出发行量决策的数学条件,并以此建立决策模型,以期为报业集团运用信息技术协助分析、建立有效的管理决策模型提供参考.     

烟酸羟基化菌株睾酮丛毛单胞菌JA1抗性质粒的消除

睾酮丛毛单胞菌JA1可羟基化烟酸产生6-羟基烟酸,并且对多种抗生素具有抗性.碱变性法提取JA1细胞内的质粒, 检测到一个约19 kb大小的质粒.用0.002 5% SDS进行质粒消除实验,结果表明,质粒消除后菌株对卡那霉素敏感,但仍对氨苄青霉素、安普霉素和链霉素具有抗性,推测质粒携带卡那霉素的抗性基因.同时,质粒消除后,JA1菌株烟酸脱氢酶酶活性没有变化,推测烟酸脱氢酶的基因并不在质粒上.     

Feature combination for classifying single-trial ECoG during motor imagery of different sessions

The input signals of brain-computer interfaces (BCIs) may be either scalp electroencephalogram (EEG) or electrocorticogram (ECoG) recorded from subdural electrodes. To make BCIs practical, the classifiers for discriminating different brain states must have the ability of session-to-session transfer. This paper proposes an algorithm for classifying single-trial ECoG during motor imagery of different sessions. Three features, derived from two physiological phenomena, movement-related potentials (MRP) and event-related desynchronization (ERD), and extracted by common spatial subspace decomposition (CSSD) and waveform mean, are combined to perform classification tasks. The specific signal processing methods utilized are described in detail. The algorithm was successfully applied to Data Set I of BCI Competition III, and achieved a classification accuracy of 91% on test set.     

Performance of information system implementation based on coupling-cohesion among subunits

The intermediate information system benefit and the coupling-cohesion of subunits are presented to study the performance of information system implementation. Based on the organizational information processing theory and the organizational behaviour theory, a theoretical model is established from the perspective of coupling-cohesion of subunits. The reliability and validity of the model are checked up with the structural equation models and the data collected with questionnaires. The results of the study give some theoretical and practical guidance.     

A Large Deviation Principle for the Risk Process with Varying Premium

Let u ∈ R ,for any ω 〉 0, the processes X^ε = {X^ε（t）; 0 ≤ t≤ 1} are governed by the following random evolution equations dX^ε（t）= b（X^ε（t）,v（t））dt-εdSt/ε, where S={St; 0≤t≤1} is a compound Poisson process, the process v={v（t）; 0≤t≤1} is independent of S and takes values in R^m. We derive the large deviation principle for{（X^ε,v（.））; ε〉0} when ε↓0 by approximation method and contraction principle, which will be meaningful for us to find out the path property for the risk process of this type.