Evaluation of tile–wall bonding integrity based on impact acoustics and support vector machine

It is well recognized that the impact-acoustic emissions contain information that can indicate the presence of the adhesive defects in the bonding structures. In our previous papers, artificial neural network (ANN) was adopted to assess the bonding integrity of the tile–walls with the feature extracted from the power spectral density (PSD) of the impact-acoustic signals acting as the input of classifier. However, in addition to the inconvenience posed by the general drawbacks such as long training time and large number of training samples needed, the performance of the classic ANN classifier is deteriorated by the similar spectral characteristics between different bonding status caused by abnormal impacts. In this paper our previous works was developed by the employment of the least-squares support vector machine (LS-SVM) classifier instead of the ANN to derive a bonding integrity recognition approach with better reliability and enhanced immunity to surface roughness. With the help of the specially designed artificial sample slabs, experiments results obtained with the proposed method are provided and compared with that using the ANN classifier, demonstrating the effectiveness of the present strategy.     

基于光纤环网的隧道火灾监控系统研究

文章对基于光纤环网的隧道群火灾报警系统进行研究,分析了其优缺点,提出了解决办法,并完成改造,应用于实际.     

A new strategy for defect inspection by the virtual inspection in semiconductor wafer fabrication

The defect of process equipments is a major factor that impairs the yields in the mass production of semiconductor wafer fabrication and it is a main supervision means to use high-resolution defect inspection tools to detect and monitor the defect damage. Due to the high investment costs of these inspection tools and the resulting decrease in the throughput, how to improve the sampling rate is an important issue for the associated inspection strategy. This paper proposes a new concept and implementation of virtual inspection (VI) to enhance the detection and monitoring of defect in semiconductor production process. The underlying theory of the VI concept is that the state variables identifications (SVIDs) of process equipments can reflect the process quality effectively and loyally. The approach of VI is to combine the application of the fault detection and classification (FDC), and the defect library and the re-engineering of inspection procedure to reach the full-scope of strategic objective. VI enables the defect monitoring to enter a new era by promoting the monitoring level of defect inspection from the previous lot-sampling basis to the wafer-sampling level, and hence upgrades the sampling strategy from random-sampling to full and right-sampling. In this study, various typical defect cases are utilized to illustrate how to create VI models and verify the reliability of the proposed approach. Furthermore, a feasible architecture of the VI implementation for mass production in semiconductor factory is presented in the paper.     

基于机器视觉的实时丸药检测系统

丸药是最为常见的药品剂型,最后成品的外观都要求圆整均匀、色泽一致,在丸药检测方面使用机器视觉技术有着良好的应用前景。通过对丸药实时检测方法和途径的分析探讨,提出了完整的工作循环模式。根据此模式,给出了利用Matlab和visual studio开发实时检测系统的完整方案。     

叶片类零件检测方法的试验研究

研究了交流电磁场信号对叶片裂纹影响的方式和规律,分析和找出了缺陷与交流电磁场信号响应特征之间的关系,提出了叶片表面采用交流电磁场检测技术的原理、方法.通过采用交流电磁场检测技术检测证实,在工程检测中有一定的实际意义.     

运行核电厂监督周报的内容与格式

本文阐述了运行核电厂监督周报的目的和作用,提出了核安全监督周报的基本内容和典型格式.     

船用双电源转换控制器的研制

传统双电源开关,多采用继电器方式控制,但在船舶等颠簸环境下使用,继电器有可能发生误触发,因而有工作不可靠的缺点.电子式数字控制双电源具有操作简便、工作可靠、能监控显示电源多种状态、可以远程控制等众多特点.介绍了P89C66x单片机为核心、在传统模拟继电器式双电源的基础上开发的电子式的数字船用双电源转换控制器的结构和软件编程.     

一种用于实现VPN的新型Tunnel技术

VPN是网络时代企业不同地区分支机构问通信的主要手段，Tunnel技术更是VPN实现的主要手段。提出并详细介绍了一种实现Tunnel的新技术，从实例出发，讲述了这种Tunnel技术的配置流程及转发流程。该Tunnel技术具有配置简单、转发速度快的优点。     

基于Windows2000的NAT技术及状态检测防火墙的应用设计

介绍了 NAT和状态检测防火墙技术 ,通过一个实例 ,给出了在 Windows2 0 0 0 server环境下 NAT及状态检测防火墙技术的应用实现方法     

斜面焊口超声波探伤中的缺陷定位

详细介绍了在斜面焊口超声波探伤中采用声程调节扫描比例进行缺陷定位的计算方法，并给出了计算公式。