智能投币机在城市公交上使用的改进分析

通过鱼骨图的方法对现有智能公交投币机存在识别率偏低的问题进行了分析,提出在智能投币机中采用闭式五角叶轮或增加硬币预处理部分,对现有的智能公交投币机进行改进,使智能公交投币机的硬币辨识率得到提高.     

数控机床的可靠性分析

从不同侧面分析了数控机床的可靠性,阐述了提高数控机床可靠性的方法。     

自动焊机监测与参数化曲线控制系统设计

设计了自动焊机的监测与参数化曲线控制系统,以可视化方式为工艺人员改变焊接过程的控制参数提供了便利,该控制系统的数据库的数据存储与查询功能为工艺人员进行离线工艺分析提供了大量的数据,且该系统与焊机的数控系统密切配合,实现了焊接自动生产线的可靠监控.     

CO2气体保护焊机操作注意事项

介绍了焊工在CO2气体保护焊机的安装、使用、维护保养及维修中的注意事项。     

机械零件刚度的模糊可靠性设计

介绍了机械零件刚度模糊可靠性设计变形分布参数和刚度隶属函数的确定,导出了零件刚度模糊可靠度的计算公式,并通过机床主轴模糊可靠性设计实例说明机械零件模糊可靠性的计算方法.     

数控机床位置伺服在线调试与动态性能分析研究

介绍一种在数控机床位置伺服系统在线调试中应用系统动态性能分析方法的基本原理，给出了一种位置伺服系统动态响应曲线、动态性能分析及其主要技术指标的实例。     

New method for determination of the pose of the grinding wheel for thinning drill points

Traditionally, twist drills are reconditioned by thinning the web so the correct chisel edge length is restored. Recently, thinning has been included in the original design of drills so as to reduce torque and tool force. Because the International Standards Organization (ISO) has a system which can comprehensively model conventional twist drills but cannot model thinning specifications, this paper presents a system for precise mathematical modeling and CNC control of a 6-axis grinding workstation for drill thinning. The presented method determines the position and orientation of the grinding wheel based on the evaluated rake and clearance angles of ISO standards for 2-flute twist drills. The mathematical model and background are discussed. For verification and demonstration, two experimental drills are produced to the identical ISO standard except that one is thinned. The modeling herein is of value to industry and research if incorporated into computer software for drill design and manufacture. It is suitable for linear notch-type cutting with controlled variable rake angle along the secondary cutting edge for purposes of thinning, notching, dubbing and advanced drill research.     

基于嵌入式电脑横机控制系统

本文分析了电脑横机的结构与功能,提出了基于嵌入式的电脑横机控制系统,采用了S3C2410为主处理芯片,通过FPGA扩展端口,系统读取织物花型数据,控制横机各个动作子系统来完成编制动作,该电脑横机控制系统与传统电脑横机系统相比较,工作效率高,可移植性强。     

Face Orientation Normalization Using Eye Positions

Despite the fact that progress in face recognition algorithms over the last decades has been made, changing lighting conditions and different face orientation still remain as a challenging problem. A standard face recognition system identifies the person by comparing the input picture against pictures of all faces in a database and finding the best match. Usually face matching is carried out in two steps： during the first step detection of a face is done by finding exact position of it in a complex background （various lightning condition）, and in the second step face identification is performed using gathered databases. In reality detected faces can appear in different position and they can be rotated, so these disturbances reduce quality of the recognition algorithms dramatically. In this paper to increase the identification accuracy we propose original geometric normalization of the face, based on extracted facial feature position such as eyes. For the eyes localization lbllowing methods has been used： color based method, mean eye template and SVM （Support Vector Machine） technique. Experimental investigation has shown that the best results for eye center detection can be achieved using SVM technique. The recognition rate increases statistically by 28% using face orientation normalization based on the eyes position.