基于创达版特种设备检验管理系统的条形码开发及应用

探讨了基于创达版特种设备检验管理系统进行检验报告条形码管理的二次开发,重点介绍了条形码的选型和电子表单架构下条码的生成机制,并给出了条形码文件管理。     

台达VE系列变频器在桥式起重机中的应用

本文介绍了桥式起重机的工作原理和应用环境,详细阐述了台达VFD—VE系列变频器应用于行车电动机的变频驱动原理与功能模式。为VFD—VE变频器在行车行业中的应用提供了参考。     

The subsequence composition of a string

Words that appear as constrained subsequences in a text-string are considered as possible indicators of the host string structure, hence also as a possible means of sequence comparison and classification. The constraint consists of imposing a bound on the number ω$\omega$ of positions in the text that may intervene between any two consecutive characters of a subsequence. A subset of such ω$\omega$-sequences is then characterized that consists, in intuitive terms, of sequences that could not be enriched with more characters without losing some occurrence in the text. A compact spatial representation is then proposed for these representative sequences, within which a number of parameters can be defined and measured. In the final part of the paper, such parameters are empirically analyzed on a small collection of text-strings endowed with various degrees of structure.     

PLC高速计数模块在数控装置中的应用

本文主要介绍了PLC高速计数特殊功能模块在数控装置中的应用实例,分析了控制系统的基本原理,同时也对控制编程的要点进行了相应的介绍和分析,该实例具有一定参考价值。     

XML—WebGIS中空间信息共享和互操作的新途径

通过对现有空间信息共享技术的研究,利用最亲的XML技术,提出了一种新的解决空间信息共享的方法,设计了空间数据共享和互操作的整体框架,初步解决了地理空间信息（GSI）在Internet/Intranet上的发布、共享和互操作的问题。     

计算机专用实时母系统在VAX／VMS环境下的实现

“母系统—子系统”的工作方式是计算机专用实时系统研制中的一次重要尝试,本文闸明计算机专用实时母系统在VAX/VMS环境下的工程实现。     

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification

A classification problem is a decision-making task that many researchers have studied. A number of techniques have been proposed to perform binary classification. Neural networks are one of the artificial intelligence techniques that has had the most successful results when applied to this problem. Our proposal is the use of q-Gaussian Radial Basis Function Neural Networks (q-Gaussian RBFNNs). This basis function includes a supplementary degree of freedom in order to adapt the model to the distribution of data. A Hybrid Algorithm (HA) is used to search for a suitable architecture for the q-Gaussian RBFNN. The use of this type of more flexible kernel could greatly improve the discriminative power of RBFNNs. In order to test performance, the RBFNN with the q-Gaussian basis functions is compared to RBFNNs with Gaussian, Cauchy and Inverse Multiquadratic RBFs, and to other recent neural networks approaches. An experimental study is presented on 11 binary-classification datasets taken from the UCI repository. Moreover, aerial imagery taken in mid-May, mid-June and mid-July was used to evaluate the potential of the methodology proposed for discriminating Ridolfia segetum patches (one of the most dominant and harmful weeds in sunflower crops) in two naturally infested fields in southern Spain.     

标牌图形多对象修改的研究与应用

为了提高标牌行业绘制标牌的工作效率以及操作流程的标准化,研究标牌参数化绘制方法及技术,结合Object ARX2008与C#进行了AutoCAD的二次开发。详细阐述标牌参数化绘图系统的结构、设计流程以及应用设计结果进行参数化绘图的过程,使标牌企业绘制人员在绘制的过程中,只需输入必要参数就可以由计算机多对象修改所绘制的标牌特殊图形,从而大大提高了工作效率并扩展了CAD二次开发的范围。     

BEMD在复杂背景下弱小目标检测中的应用

针对复杂背景下的弱小目标检测与识别问题,提出了一种基于二维经验模态分解(Bidimensional Empirical Mode Decomposition,BEMD)的检测算法。待检测的原图像经过BEMD分解筛选出多个二维的内蕴模函数(Intrinsic Mode Functions,IMF)和趋势图像,使用全局门限法分割各个IMF,将处理后的IMFs综合成一个分割出待检测目标的结果图像。实验结果表明,该方法使用简洁的步骤,有效、准确地检测出弱小目标。     

The use of energy windowing to discriminate SNM from NORM in radiation portal monitors

Energy windowing is an algorithmic alarm method that can be applied to plastic scintillator-based radiation portal monitor (RPM) systems to improve operational sensitivity to certain threat sources while reducing the alarm rates from naturally occurring radioactive material. Various implementations of energy windowing have been tested and documented by industry and at Pacific Northwest National Laboratory, and are available in commercial RPMs built by several manufacturers. Moreover, energy windowing is being used in many deployed RPMs to reduce nuisance alarms and improve operational sensitivity during the screening of cargo. This paper describes energy windowing algorithms and demonstrates how these algorithms succeed when applied to “controlled” experimental measurements and “real world” vehicle traffic data.