In the system , the rotate speed sensor and torque sensor are fixed between the engine power output shaft of yanmar combine harvester and the power input shaft of working device . the signals of torque and rotate speed are preprocessed such as v / f , amplified . and the power is computed 该系统在洋马联合收割机的发动机动力输出与工作装置的动力输入轴之间安装了转速和扭矩传感器,对转速和扭矩传感器的输出信号进行v f转换、放大等预处理,并计算出功率值。
At first , by using the feature that the excess delays of nlos propagation follow the exponential distribution , the los propagation parameters are reconstructed and the toa parameters measured from all bs are preprocessed . then , the ms ' s position is estimated by the los locating algorithm with the preprocessed data . finally , to mitigate the effect of the errors in reconstructed parameters , the estimated results are smoothed 首先,利用非视距传播时延服从指数分布的特点,对不同基站一次测量的数据进行预处理,重构视距传输参量;然后,对处理后的数据采用视距定位算法估计移动台位置;最后,对估计结果进行平滑后处理,以减小重构出的参量误差的影响,进一步提高定位精度。
Following the two crows data mining process model , the product data , transaction data and customer ' s demographic data are accumulated , such data is preprocessed by the primary component analysis method which can low the connection of variants and reduce the number of variants . one model is built by the improved dynamic cluster method . the quality of the model ' s result will be improved with deleted the outlier data 参照twocrows数据挖掘过程模型,首先收集客户购买产品的类型、交易、属性等数据;然后采用主成分分析法预处理这些数据,以降低数据之间的相关性和减少变量个数;接着采用改进的动态聚类方法建模,在聚类过程中剔除异常点,改善聚类的质量,最终得到一个客户分片的模型,并对该模型作了比较详尽的解释。
The whole work in this paper is listed as followed : firstly , this paper set forth on management of spatial data and general mining process in spatial data mining ; secondly , the deficiency of gis spatial query on the database and the necessity of data ming are referred to and the source data is preprocessed ; thirdly , the single - dimension table is discussed including three parts : the theory of rough is talked about and is used to analyze the preprocessed data . also , the data is disposed by programming ; the disadvantages of the apriori algorithm are referred to . based on the original algorithm , advaced _ apriori algorithm is put forward to by perfecting the apriori algorithm 对rough集理论算法思想进行了论述,并编程实现了对gis属性数据的处理;讨论关联规则,指出了apriori算法的不足,在原算法的基础上改进了算法;与原算法对比, advanced _ apriori算法在算法复杂度(空间复杂度与时间复杂度)上具有很大的优越性;给出这三种方法( rough集理论、 apriori算法、 advanced _ apriori算法)在算法复杂度(时间复杂度和空间复杂度)的比较,并对优劣进行评定; 4 、多维表的处理:提出空间数据挖掘模型,采用sqlserver建立星形数据模式,以此建立空间数据立方体,采用dbminer进行数据挖掘; 5 、最后是本文的结论和展望;对前面各章的总结,得出几点结论,并指出需要进一步探讨的问题。
First the sampled image is preprocessed , then five features are extracted from the image preprocessed based on spatial gray level co - occurrence matrix , at last the method of measuring and analyzing of skin texture is proved valid through the result of test of training , classifying and recognizing for skin texture images based on tfbp network 首先对采集到图像进行预处理,然后采用空间灰度共生矩阵法提取纹理图像的5个特征,最后通过tfbp网络对皮肤纹理图像的训练与分类识别实验结果很好的证明了这种纹理分析与测量方法的有效性。
The third part proposes a new compression and coding scheme with dct ( discrete consine transform ) and wavelet transform through solving the problem that is dfd ( displaced frame difference ) after motion compensation has many high - frequency coefficients which handicap compression . the new dfd which is preprocessed with dct is adaptive to wavelet transform . the new algorithm has been tested with experiment and achieved the higher psnr than the original algorithm , which proves its availability 第三部分针对基于dfd (差值帧)的小波视频压缩算法中运动补偿后的dfd具有较多的高频信号、不利于小波变换的缺陷,提出了小波变换和dct (离散余弦变换)相结合的混合编码方案,使得经过dct处理后的新的dfd更加适合于小波变换,小波变换后的高频系数大大减少,有利于压缩。
Second , some popular spatial and temporal technology about the vop segmentation were introduced . third , a modified watershed segmentation preprocessed by multi - scale morphological filters and post processed with improved fast region merging methods was proposed to obtain a good spatial segmentation 在第三章中,介绍了分水岭变换的定义、优缺点,并研究了在传统分水岭的基础上利用数学形态学滤波器缓解算法中过分割现象的改进算法,并给出一种能获取全局最优解的区域合并方法。