齿轮传递系统故障诊断检测方法研究

运用多传感器类型的选择和位置的优化配置方法,解决了由单一传感器采集信息来实现系统的多故障检测、分离和定位带来的缺陷,提高了齿轮传递系统故障检测的灵敏度和准确性,实现了对复杂机械系统进行多故障分离和高灵敏度的检测,使得运行设备故障状态得到更加准确的评价。     

计算机免疫技术在入侵检测中的应用

根据人体免疫原理，应用计算机免疫技术，采用否定选择、克隆选择等免疫算法，构建具备自主学习能力的检测模型，以提高入侵检测系统防范未知攻击和变形攻击的能力。     

葡萄糖的六种荧光检测法研究

介绍了6种葡萄糖荧光检测法.详细介绍了每种检测方法的荧光强度变化机理和葡萄糖检测原理,并在此基础上对葡萄糖荧光传感器的发展趋势作了展望.     

Techniques of Image Processing Based on Artificial Neural Networks

This paper presented an online quality inspection system based on artificial neural networks. Chromatism classification and edge detection are two difficult problems in glass steel surface quality inspection. Two artificial neural networks were made and the two problems were solved. The one solved chromatism classification. Hue, saturation and their probability of three colors, whose appearing probabilities were maximum in color histogram, were selected as input parameters, and the number of output node could be adjusted with the change of requirement. The other solved edge detection. In this neutral network, edge detection of gray scale image was able to be tested with trained neural networks for a binary image. It prevent the difficulty that the number of needed training samples was too large if gray scale images were directly regarded as training samples. This system is able to be applied to not only glass steel fault inspection but also other product online quality inspection and classification.     

Distribution-based CFAR detectors in SAR images

1. INTRODUCTION Many researches have been made on automatic target recognition (ATR) from SAR images in the past few years. Lincoln Laboratory has developed a complete, end-to-end ATR system[1-4]. The whole system inclu- des three stages: detection (or prescreening), discri- mination and classification. In the detection stage, a two-parameter CFAR (constant false alarm rate) detector is used as a prescreener to select candidate targets in an SAR image on the basis of local brightne…     

利用改进的GLA算法快速检测球场区域

球场区域检测作为球和球员检测的预处理，是体育视频语义分析和球场三维重建的关键步骤。该算法首先引入了一种分裂和合并机制对GLA进行了改进。然后，利用改进的GLA将每帧的图像象素值进行量化分类，找到主色。最后，结合找到的主色，融合多个非连通的主色区域，利用球场区域为凸多边形的性质，采用Sklansky算法确定球场区域的边界。文中所示算法全部采用基于缩略图的计算方式，实验结果证明该算法具有很高的准确性，并且计算非常快，可以满足球场区域检测的要求。     

数据挖掘技术在网络入侵检测中的应用

基于通用入侵检测轮廓,建立了一个基于数据挖掘技术的异常检测模型,采用关联规则、序列规则对数据进行挖掘,用判定树分类技术对获得的规则进行分类.实验表明,本模型具有较好的效益.     

Nonnegative matrix factorization and its applications in pattern recognition

Matrix factorization has been widely used in many fields[1]. In numerical algebra, the large-scale and com- plex problems can be transformed into small-scale sim- ple subproblems by matrix factorization; in applied statistics, low rank approximation of or…     

基于线圈与车辆号牌识别技术的治安卡口系统

随着我国经济的发展，车辆保有量及交通出行猛增，对违章逃逸、机动车盗抢及以机动车为工具流窜作案的快速侦破查处，成了我国公安交通管理部门的一大难题．全面实行对城市主要出入口、关键道路及交叉口的连续监控，对所有通过该卡口的机动车辆进行拍摄、记录与处理，是解决这一难题打击犯罪行之有效的方法．传统的使用线圈触发和视频抓拍存储的治安卡口无法有效而快速的追查目标车辆，采用线圈与车辆号牌识别技术，建设新型智能治安卡口系统可以做到对车辆号牌的自动抓拍识别、快速处理、报警，可为及时快速侦破这类案件提供强有力的技术手段．     

端点预搜索的Freeman直线段识别算法

直线段提取对于数字图像中规则目标的形状分析、识别来说是一个基本且必要的前期信息提取步骤.本文提出了一种以角点充当直线段的端点,在得到直线段端点和直线段主次方向基础上使用Freeman准则对直线段进行扫描.由于在直线段搜索前已经获取了直线段端点的位置信息,因此该算法能够高速准确地对直线段进行扫描,具有较强的抗噪声能力.实验结果验证了该算法的有效性,并且该算法对较粗直线段也具有良好的检测能力.