微分代数系统波形松弛法的收敛性

通过借助Gronwall不等式和收敛级数方法给出关于微分代数系统波形松弛法的收敛性的一个充分条件，该充分条件较以往的研究成果更易于检验其收敛性．     

基于AT89C52单片机的三相电能测量系统

本使用SAMES公司的三相电能测量芯片SA2005F，将电能转化为脉冲信号，并用AT89C52对此脉冲进行处理，最后用LED显示实际的用电量。此外本系统还有RS-485通讯功能，可将数据交给上位机处理。     

粉尘采样器空气恒流量控制方法

介绍一种用单片机实现恒流量控制的自动化检测仪器，讨论了在硬件条件限制情况下，如何从软件设计上采取措施以实现预定功能的方法。     

工件间隙对脉冲熔化极气体保护焊焊接熔深信号检测的影响

采用脉冲熔化极气体保护焊定点焊接了Q235钢对接工件。研究了工件间隙对定点焊接(模拟起始阶段)的熔深状态和非电量电测法中相应的脉冲峰值阶段电弧电压信号波动的影响。结果表明:随着工件间隙在0 mm至1.2 mm变化,焊接过程中熔池的体积和熔深逐渐增加,焊缝从未熔透逐渐向熔透和过熔透变化,脉冲峰值阶段电弧电压波信号波动先降低后增加,当工件间隙为0.9mm时,焊缝处于临界熔透状态,对应的拐点处脉冲峰值阶段电弧电压信号波动为2.79 V。这说明脉冲峰值阶段电弧电压信号波动可作为观察焊接过程中焊接熔深的特征信号。     

A color based face detection system using multiple templates

A color based system using multiple templates was developed and implemented for detecting human faces in color images. The algorithm consists of three image processing steps. The first step is human skin color statistics. Then it separates skin regions from non-skin regions. After that, it locates the frontal human face(s) within the skin regions. In the first step, 250 skin samples from persons of different ethnicities are used to determine the color distribution of human skin in chromatic color space in order to get a chroma chart showing likelihoods of skin colors. This chroma chart is used to generate, from the original color image, a gray scale image whose gray value at a pixel shows its likelihood of representing the skin. The algorithm uses an adaptive thresholding process to achieve the optimal threshold value for dividing the gray scale image into separate skin regions from non skin regions. Finally, multiple face templates matching is used to determine if a given skin region represents a frontal human face or not. Test of the system with more than 400 color images showed that the resulting detection rate was 83%, which is better than most color-based face detection systems. The average speed for face detection is 0.8 second/image (400×300 pixels) on a Pentium 3 (800 MHz) PC. Project (No. 60203013) supported by National Natural Science Foundation of China     

液晶汉字显示与汉字库实验设计

讲述了开设此实验的原因与此实验的原理及效果。     

Application of Holter ECG Signal Analysis Based on Wavelet and Data Mining Technique

A new model based on dyadic differential wavelet was developed for detecting the R peak in Holter ECG signal according to the design of data mining. The Mallat recursive filter algorithm was introduced to calculate wavelet and optimize the detection algorithm which is based on the equivalent filter technique. The detection algorithm has been verified by MIT arrhythmia database with a high efficiency of 99％. After optimization, the algorithm was put into clinical experiment and tested in the Air Force Hospital in Tianjin for about two months. After about 108 hearts beating test of more than 100 patients, the total efficient detection rate has reached 97％，Now this algorithm module has been applied in business software and shows perfect performance under the complex conditions such as the inversion of heart beating, the falling off of the electrodes, the excursion of base line and so on.     

Intrusion detection using rough set classification

Recently machine learning-based intrusion detection approaches have been subjected to extensive researches because they can detect both misuse and anomaly. In this paper, rough set classification (RSC), a modem learning algorithm,is used to rank the features extracted for detecting intrusions and generate intrusion detection models. Feature ranking is a very critical step when building the model. RSC performs feature ranking before generating rules, and converts the feature ranking to minimal hitting set problem addressed by using genetic algorithm (GA). This is done in classical approaches using Support Vector Machine (SVM) by executing many iterations, each of which removes one useless feature. Compared with those methods, our method can avoid many iterations. In addition, a hybrid genetic algorithm is proposed to increase the convergence speed and decrease the training time of RSC. The models generated by RSC take the form of"IF-THEN" rules,which have the advantage of explication. Tests and comparison of RSC with SVM on DARPA benchmark data showed that for Probe and DoS attacks both RSC and SVM yielded highly accurate results (greater than 99% accuracy on testing set).     

一种无需随机搜索策略的自动平面检测方法

本提出一种新的能快速从2幅投影图像中自动检测平面的方法．首先通过引入互相关对Scatt特征点匹配结果作后处理得到可靠的点点匹配，然后根据2幅图片间特征分布的近似不变性从特征点匹配得到特征线匹配，继而将特征点按照与特征线的几何关系进行分组，作为初始集合估计平面单应矩阵，将特征点按所属平面分组．此方法能有效地避免随机的全局搜索．此方法尤其适于人造场景的平面检测问题．实验表明了此方法的有效性．     

基于改进 SSD 网络的目标检测方法

传统目标检测方法存在准确率低、可靠性差、效率低等问题,无法满足对大量图片准确、高效处理的需求。对 SSD 网络结构进行改进,删除原网络最后两个预测层,对保留各预测层的默认框个数和宽高比进行优化,同时对保留的最后一个预测层的网络参数进行改进。改进后的 SSD 网络减少了网络参数和计算量,对存在遮挡、目标较小等情况的图片数据具有更好的检测精度和检测效果,同时模型检测的 mAP 提高了约 5.1%。改进后的网络模型解决了传统方法的不足,可以实时、准确、高效地对大量图片数据进行目标检测处理。