凹印机恒张力控制系统的研究

张力控制技术广泛应用于卷绕类自动化控制系统中,以凹印机为研究对象,详细论述了凹印机系统的张力控制原理;并设计了一套以GE公司的90系列可编程逻辑控制器为控制器,采用工控机监控系统实时状态的张力控制系统;选用西门子公司的WinCC作为系统的组态软件,并采用OPC作为软件接口标准实现GE和西门子两家不同公司产品的数据交换;该方案不仅适合本系统,而且对于这一类放卷、收卷结构的张力控制系统均有一定的参考价值;生产运行表明,该系统运行稳定,控制精度满足要求。     

精准施药动态仿真测控系统的设计

为对精准施药进行深入研究,设计了精准施药动态仿真测控系统,测控系统由上位管理机、数控系统及多个无线信息采集终端组成;数控系统的功能是配合上位机或独自完成仿真系统的各项控制任务及实现现场信息的收集,多个无线信息采集终端形成了无线信息采集网络;该网络能对精准施药动态仿真系统中的各影响因素进行精确、同步测定,通过定义通讯协议等措施,提高了无线信息传输的准确可靠性,为便于实现数控系统与上位管理机的连接,在数控系统设计中增设了USB转换接口;现场应用结果表明,该系统运行稳定可靠,信息检测精度高且传输准确,具有较强的实用性和推广价值。     

Quantum programming languages

After giving a bird’s view of some existing quantum programming languages, this paper reports the recent results made by the quantum computation group of the State Key Laboratory for Novel Software Technology and the Department of Computer Science and Technology at Nanjing University, i.e., the quantum programming languages NDQJava, NDQFP and their processing systems.     

Analysis of biofluids for biomarker research

While many of the developments made in high-throughput proteomics were originally applied to procaryotic and simple eucaryotic organisms, the analysis of biofluids became increasingly important as the prospect of using proteomics to discover novel biomarkers became realized. Biofluids have represented a unique challenge to proteomics as they are often present only in small amounts and, particularly in the cases of serum and plasma, can have protein concentration ranges that differ by ten orders of magnitude. While the discovery of authentic, clinically useful biomarkers in the proteomics era has been lacking, there have been a number of significant developments in the ability to more comprehensively characterize biofluid proteomes. The rapid pace of these developments suggest that the eventual discovery of clinically validate biomarkers using proteomic technologies still has a bright future.     

The forwarding indices of augmented cubes

For a given connected graph G of order n, a routing R in G is a set of n(n−1) elementary paths specified for every ordered pair of vertices in G. The vertex (resp. edge) forwarding index of G is the maximum number of paths in R passing through any vertex (resp. edge) in G. Choudum and Sunitha [S.A. Choudum, V. Sunitha, Augmented cubes, Networks 40 (2002) 71-84] proposed a variant of the hypercube Qn, called the augmented cube AQn and presented a minimal routing algorithm. This paper determines the vertex and the edge forwarding indices of AQn as and ²n−1, respectively, which shows that the above algorithm is optimal in view of maximizing the network capacity.     

Discover dependency pattern among attributes by using a new type of nonlinear multiregression

Multiregression is one of the most common approaches used to discover dependency pattern among attributes in a database. Nonadditive set functions have been applied to deal with the interactive predictive attributes involved, and some nonlinear integrals with respect to nonadditive set functions are employed to establish a nonlinear multiregression model describing the relation between the objective attribute and predictive attributes. The values of the nonadditive set function play a role of unknown regression coefficients in the model and are determined by an adaptive genetic algorithm from the data of predictive and objective attributes. Furthermore, such a model is now improved by a new numericalization technique such that the model can accommodate both categorical and continuous numerical attributes. The traditional dummy binary method dealing with the mixed type data can be regarded as a very special case of our model when there is no interaction among the predictive attributes and the Choquet integral is used. When running the algorithm, to avoid a premature during the evolutionary procedure, a technique of maintaining diversity in the population is adopted. A test example shows that the algorithm and the relevant program have a good reversibility for the data. © 2001 John Wiley & Sons, Inc.16: 949–962 (2001)     

带微处理机的楔型流量计

介绍一种带压力、温度自动补偿的电远传楔型流量计,阐述了该流量计的工作原理、基本结构和性能特点。     

改进的选择神经网络结构的方法

有关人工神经网络作为在线状态估计器组成基于神经网络的传感器故障检测的研究已有报导。但是这些文章中没有提到如何选择神经网络的结构。神经网络的输入延迟数和隐基单元数影响其对系统的拟合精度,从而影响故障检测的灵敏度。研究了一些现有的选择神经网络结构的方法,以系统化的交叉证实法为基础,经过改进,提出了针对作为在线状态估计器的神经网络选择输入延迟数和隐层单元数的系统化的方法,并用某船在试验场中航行时平台罗经输出的一段数据作了仿真,结果证明该法可行,具有工程实用意义。     

三维医学可视化系统

介绍三维医学可视化系统实现的原理及应用。系统通过应用最新的计算机图象处理和图形学技术、实现了图象输入、图象配准、三维重建,数字放射透视图等功能,提供了三维的人体组织、器官的空间形态与位置、为医生的诊断、治疗提供了强有力的可视化工具。     

Surface tension calculation of the Sn–Ga–In ternary alloy

Surface tensions of the Sn–Ga–In ternary alloy are calculated from the surface tensions of the Sn–Ga, Ga–In and In–Sn sub-binary systems by using geometric models (the Kohler model and the Toop model), and a general solution model (the Chou model). The calculated results are in excellent agreement with the experimental data (except for the Kohler model), assuming an experimental accuracy of ±2.5%. At the same time, the surface tensions of the Sn–Ga–In ternary alloy at 773 K and their sub-binary systems are predicted on the basis of Butler’s equation, in combination with thermodynamic data, and different model parameters β$\beta$ equal to the ratio of the coordination number in the surface phase to that in the bulk phase. Different values of β$\beta$ have almost no influence on the surface tensions. The predicted results agree with the experimental data. Therefore, the resulting iso-surface tension curves for the Sn–Ga–In ternary alloy at 773 K, especially those calculated by using the Toop model, are reasonable.