Predicting protein secondary structure using a mixed-modal SVM method in a compound pyramid model

Accurate protein secondary structure prediction plays an important role in direct tertiary structure modeling, and can also significantly improve sequence analysis and sequence-structure threading for structure and function determination. Hence improving the accuracy of secondary structure prediction is essential for future developments throughout the field of protein research.In this article, we propose a mixed-modal support vector machine (SVM) method for predicting protein secondary structure. Using the evolutionary information contained in the physicochemical properties of each amino acid and a position-specific scoring matrix generated by a PSI-BLAST multiple sequence alignment as input for a mixed-modal SVM, secondary structure can be predicted at significantly increased accuracy. Using a Knowledge Discovery Theory based on the Inner Cognitive Mechanism (KDTICM) method, we have proposed a compound pyramid model, which is composed of three layers of intelligent interface that integrate a mixed-modal SVM (MMS) module, a modified Knowledge Discovery in Databases (KDD1) process, a mixed-modal back propagation neural network (MMBP) module and so on.Testing against data sets of non-redundant protein sequences returned values for the Q₃ accuracy measure that ranged from 84.0% to 85.6%,while values for the SOV99 segment overlap measure ranged from 79.8% to 80.6%. When compared using a blind test dataset from the CASP8 meeting against currently available secondary structure prediction methods, our new approach shows superior accuracy.Availability: http://www.kdd.ustb.edu.cn/protein_Web/.     

磁敏测速系统的数据采集平台实现

串口同步采集是工业控制应用的重要环节,为克服由于不准确的数据采集所带来的乘性误差,进而对多串口的同步采集进行了研究。利用VS2005编程环境,设计实现了多串口的上位机数据采集平台,该平台开辟线程对多个串口采取重叠读取方式,实现了对测速系统中大量的串口数据同步读取、保存并实现波形动态显示的功能,满足了智能测速系统的测速算法研究的需要。此平台可以广泛的应用在测速系统之中,也可辅助用于各种工业控制的高级要求。     

基于Python的Abaqus二次开发在层压板修理模拟中的应用

为加快复合材料层压板单面贴补参数设计的效率,利用基于Python的Abaqus二次开发技术,开发针对复合材料层压板单面贴补修理的快速建模及后处理程序.结果表明,程序能够通过输入单面贴补设计参数便捷地创建模型,并且计算结束后能通过快速后处理程序自动提取所需的数据和信息.该程序能够针对单面贴补修理母板的长度、宽度、单层厚度、层数和铺层顺序,补片的层数、直径和铺层顺序,以及复合材料单向预浸料和胶膜的性能等参数进行设计分析.用该程序计算得到的易破坏位置和破坏模式与试验结果的误差小于10%,证明该程序可行.     

基于D-S证据理论和BP神经网络的多传感器信息融合

针对多传感器信息融合的基本可信度分配在实际应用中难以解决的问题,提出了一种基于D-S证据理论与BP网络相结合的多传感器信息融合的改进方法。该方法充分发挥BP神经网络自学习、自适应和容错的能力,利用BP神经网络处理证据理论的基本可信度问题,再利用D-S证据理论来处理不精确、模糊的信息。最后通过一个实例证明了该方法的有效性。     

一种基于硬件的U盘隔离方法的设计与实现

U盘的普及使U盘病毒繁衍迅速,针对信息系统安全保护的需要,设计出一种U盘病毒隔离器。该隔离器具有隔离Autorun病毒、防止PC的数据通过U盘泄密、防止PC中的病毒感染U盘的功能。隔离器能够快速捕获到U盘与主机之间所有底层数据,在此基础上,隔离器中的微控制器（MCU）通过分析、审计和过滤流过隔离器中的底层数据来实现上述功能。经实际检测,该设计能够实现预定功能。     

基于Browse/Web/DBMS Server的人才管理系统

该文应用IBM推出的新技术设计实现了一种3层C／S原型系统即Browse／Web／DBMSServer,并应用这种原型系统实现了一个具有良好动态特性和交互动能的网上人才管理系统。Browse／Web／DBMSServe原型系统还可应用于其他信息系统。     

图像逆映射与融合技术

对图像逆映射与融合技术作了系统研究.通过把图像映射关系统一为位移场表示,详细讨论了消除图像缝隙的逆映射算法.给出了多张图像的迭代融合算法.实验表明,混合使用图像逆映射算法和迭代融合算法可以获得满意的结果.     

Classification of the index sets of low[n] pand high[n] p

In this paper we will first give the characterization of thep lowp degree, and prove that a p.r.e. degree      

Investigation on the explosive welding mechanism of corrosion-resisting alu-minum and stainless steel tubes through finite element simulation and experi-ments

To solve the difficulty in the explosive welding of corrosion-resistant aluminum and stainless steel tubes, three technologies were proposed after investigating the forming mechanism through experiments. Then, a 3D finite element model was established for systematic simulations in the parameter determination. The results show that the transition-layer approach, the coaxial initial assembly of tubes with the top-center-point the detonation, and the systematic study by numerical modeling are the key technologies to make the explosive welding of LF6 aluminum alloy and 1Cr18Ni9Ti stainless steel tubes feasible. Numerical simulation shows that radial contraction and slope collision through continuous local plastic deformation are necessary for the good bonding of tubes. Stand-off distances between tubes (D1 and D2) and explosives amount (R) have effect on the plastic deformation, moving velocity, and bonding of tubes. D1 of 1 mm, D2 of 2 mm, and R of 2/3 are suitable for the explosive welding of LF6-L2-1Cr18Ni9Ti three-layer tubes. The plastic strain and moving velocity of the flyer tubes in-crease with the increase of stand-off distance. More explosives (R2/3) result in the asymmetrical distribution of plastic strain and non-bonding at the end of detonation on the tubes.