多通道图像轮廓线提取的变分算法

针对多通道的图像分割提出一种新的活动轮廓线提取算法。对轮廓线长度采用Munford-Shah最小化泛函加上图像每个通道上的拟合误差之和。与传统C-V方法类似,该算法不需要图像的梯度信息就可以检测物体的边缘,解决了传统C-V方法不管从哪个尺度空间都无法完全分割彩色图像中物体的问题。并通过改进初始化函数提高了分割的速度。     

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.     

图像重建中的非常稀疏循环矩阵

测量矩阵是压缩传感理论的关键要素之一。针对目前大部分工作中所用的高斯等随机测量矩阵独立随机变元过多,不利于物理实现的问题,引入稀疏带状和稀疏列的概念,形成稀疏带状随机、托普利兹和循环矩阵以及稀疏列随机、循环矩阵,随机变元个数减少约三分之一。采用通用的模拟实验方法,验证此类稀疏矩阵对于真实图像的重建效果及对0-1信号的成功重建概率均与随机高斯矩阵相当。