基于特征聚类分析的大规模发电数据异常辨识方法

目前电厂发电量数据集抄已在各电网公司得到了广泛应用。针对电量集抄中首要解决的异常数据辨识问题,深入分析了不同类型电源的自身特性,基于特征聚类分析技术,提出了不同类型电源日发电量异常的辨识条件,由此构建了基于特征聚类分析的大规模发电数据异常辨识方法,最后基于某省网的实际数据,验证了所提出方法的有效性。

基于增强滤波和特征聚类分析的导线隐患识别技术研究与应用

及时发现输电线路导线隐患是保障线路安全运行的关键,鉴于现有巡检图像处理过程中存在的不足,本研究在国内外已有研究成果的基础上进行了算法优化,提出了一种基于增强滤波和特征聚类分析的导线隐患识别算法。实验测试表明该算法对于线路巡检图像中的处理速度和识别准确率均优于传统算法,能够快速准确地实现导线提取和隐患的识别。由于该算法对硬件配置要求较低,能够在巡检现场完成对图像的分析和处理,具有较大的实用价值。

Pre-stack-texture-based reservoir characteristics and seismic facies analysis

Seismic texture attributes are closely related to seismic facies and reservoir characteristics and are thus widely used in seismic data interpretation.However,information is mislaid in the stacking process when traditional texture attributes are extracted from poststack data,which is detrimental to complex reservoir description.In this study,pre-stack texture attributes are introduced,these attributes can not only capable of precisely depicting the lateral continuity of waveforms between different reflection points but also reflect amplitude versus offset,anisotropy,and heterogeneity in the medium.Due to its strong ability to represent stratigraphies,a pre-stack-data-based seismic facies analysis method is proposed using the selforganizing map algorithm.This method is tested on wide azimuth seismic data from China,and the advantages of pre-stack texture attributes in the description of stratum lateral changes are verified,in addition to the method＇s ability to reveal anisotropy and heterogeneity characteristics.The pre-stack texture classification results effectively distinguish different seismic reflection patterns,thereby providing reliable evidence for use in seismic facies analysis.

Microarray-based analysis for hepatocellular carcinoma: From gene expression profiling to new challenges

Accumulation of mutations and alterations in the expression of various genes result in carcinogenesis,and the development of microarray technology has enabled us to identify the comprehensive gene expression alterations in oncogenesis.Many studies have applied this technology for hepatocellular carcinoma(HCC),and identified a number of candidate genes useful as biomarkers in cancer staging,prediction of recurrence and prognosis,and treatment selection.Some of these target molecules have been used to develop new serum diagnostic markers and therapeutic targets against HCC to benefit patients.Previously,we compared gene expression profiling data with classification based on clinicopathological features,such as hepatitis viral infection or liver cancer progression.The next era of gene expression analysis will require systematic integration of expression profiles with other types of biological information,such as genomic locus,gene function,and sequence information.We have reported integration between expression profiles and locus information,which is effective in detecting structural genomic abnormalities,such as chromosomal gains and losses,in which we showed that gene expression profiles are subject to chromosomal bias.Furthermore,array-based comparative genomic hybridization analysis and allelic dosage analysis using genotyping arrays for HCC were also reviewed,with comparison of conventional methods.

Morphological Study of Ficus deltoidea Jack in Malaysia

Ficus deltoidea Jack （Moraceae） or Mas Cotek is a small shrub with a great morphological variation. Measurement of 40 morphological traits had been done on 50 accessions to find the most significant characters that enable differentiation being done according to its variety groups. The data were analyzed with principal component analysis （PCA） and cluster analysis （CA） using cluster software package programme to produce the scatter diagram and dendrogram relationship of the taxa. The results showed that there were 25 morphological characters having the value of factor analysis greater than 0.60 from its principal component （PC） with the Eigen value greater than 1.0. 16 out of 40 morphological characters had been identified as having high values of correlation coefficient ranging from -0.783 to 0.890. The analysis showed that the most responsible characters in grouping the samples into different groups are the shape and size of leaf, number and color of dots on the leaf surface and characters of syconium. The scatter diagram of the accessions on the PC1 against PC2 showed six major groups. The dendrogram displayed the relationship among the accessions and within the dissimilarity distance = 19, it classified the samples into five major groups. Observation on F. deltoidea resulted in the findings of high variability among the accessions. The most significant characters in grouping accessions are the shapes of leaf base （BL）, shape of leaf apex （SA）, ratio of lamina width to lamina length （R）, dots color at the lower midrib （DLM）, color of young syconium （CYS）, color of mature syconium （CMS） and the number of syconium on trees （DST）. This study provides basic information for introduction of some particular traits and effective conservation of the species breeding programme. The morphological traits were found to be useful for the diversity studies and in identifying the variation. The actual figures of F. deltoidea obtained through this study enable comparison being done to the previous and in future study. Hence, the varieties that are extinct could be recognised.

Use of REGWQ Multiple Comparisons of Qualitative Data

The REGWQ （Ryan-Einot-Gabriel-Welsch and Quiot） test produces allow us to compare a large numbers of data while controlling the probability of making at least one Type I error or Family wise error. The purpose of this study was to use the REGWQ multiple comparisons test of qualitative data. Okra characterization data was applied and submitted to ANOVA （P_0.05） with REGWQ for multiple comparisons of the means. The results of this study establish a summary strategy of following a significant ANOVA F with REGWQ test on multiple comparisons of means in summation a large entries/treatments to the small groups when variances are heterogeneous. Cluster analysis should be especially useful for grouping qualitative treatment and could also be used in conjunction of with REFWQ multiple produces. The development of study will be in REGWQ multiple producers in SAS option for distributed the large number of treatment to small group with summering the best choice of treatments.

基于小波变换的产后康复治疗仪故障在线监测方法

为了提高产后康复治疗仪故障在线监测能力,提出基于小波变换的产后康复治疗仪故障在线监测方法。构建产后康复治疗仪故障在线监测的信号检测辨识模型,结合故障信号期望函数构建故障监测信号的多分辨间隔采样模型,对采集的产后康复治疗仪故障信号进行谱特征分离,实现对故障信号的增强处理,采用自适应加权控制的方法,对产后康复治疗仪故障监测信号实现频谱特征分解,从而构建故障监测信号的特征提取模型,采用多尺度小波变换结合故障监测信号特征,计算故障信号输出包络特征系数,进行故障信号的在线诊断判决,通过时频特征点聚类分析得到故障特征点聚类结果,采用小波变换方法实现对故障监测过程中的时频转换分析,提高故障检测分辨输出能力。仿真结果表明,采用该方法进行产后康复治疗仪故障监测的实时性较好,对故障特征的准确辨识能力较强,提高了产后康复治疗仪故障在线监测性能。

Method for extracting geometrical characteristics of joint probability density based on contour lines

This paper presents a method for extracting geometrical features of the joint probability density function(PDF)of two-dimensional systems based on its contour lines,with particular interests given to the number and position of peaks and craters.In order to detect those two types of structures,a series of horizontal planes are applied to truncate the joint PDF with contour lines generated.Starting with the analysis of contour lines in a single plane,shape characteristics of the peak and the crater can be reflected on the contour lines in the aspects of gradient direction and inclusion relationship.Aided by the properties of PDF,the information about gradient direction and inclusion relationship of contour lines can be obtained simultaneously if the contour tree is built.According to the contour tree,the contour lines can be classified as two groups.Then the corresponding relation between contour lines in different planes is discussed.Based on the corresponding relation,clustering analysis about contour lines belonging to the same group but having different heights is performed.Two sets of contour lines are finally obtained as the simplest expression of geometrical characteristics of a joint PDF.They can be used to obtain the number and position of each peak and crater.Three oscillators of different types are chosen to test this method,which shows that this method can pave the way for numerical calculation about the stochastic P-bifurcation of multi-dimensional systems.