激光晶体Tm3+/Yb3+:GdAl3(BO3)4的生长和光谱性能研究

采用助熔剂法生长了优质透明的Tm3+/Yb3+:GdAl3(BO3)4晶体.在室温下测试了晶体的偏振吸收谱,对谱图中的7个吸收峰进行了能级归属,并计算了偏振吸收截面.实验表明,晶体能够采用两种商业化的InGaAs LD或GaAlAs LD进行泵浦.讨论了Yb离子敏化Tm离子过程中能量传递的方式,并展示了晶体在多波长激光方面潜在的应用前景.     

X射线荧光光谱仪在水泥检测中的应用

使用粉末压片法制样，以X射线荧光光谱分析法测定水泥中Ca、Si、Al、Fe、Mg、S等主次量元素，分析方法具有较高的精密度和准确度。     

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.     

基于Matlab 与 C++Builder偏最小二乘分析的编程实现

针对工程测量和科研活动,根据回归性分析中较为先进的偏最小二乘法原理,以Matlab为平台,设计了实用的C Builder回归性分析程序.利用该程序,得到大米近红外光谱和其对应蛋白质含量的模型,模型预测结果和观测值的相关系数为0.993 2,模型的显著性检验F值为1.009 3.     

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.     

Target tracking based on frequency spectrum amplitude

1 .INTRODUCTIONIn target tracking, attribute parameters can beused to i mprove the performance of data associa-tion. The probabilistic data association ( PDA)which employ the attribute enhance the capabilityof data association and i mprove the performancefor target tracking. The method of PDA is per-formedin the environment of high signal to noise(SNR) generally and the SNRis in excess of 10dB.But the SNRinthe actual environment is lowerthan 10 dB commonly . When SNRis below0 dB,…     

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…