化解财政审计风险的思路与措施

运用信息不对称理论分析影响财政审计风险形成的内外因素,借鉴霍尔三维结构理论探讨管理财政审计风险的基本思路,并从加强财政审计主体自身建设和优化外部环境两个方面提出风险控制的办法。     

基于SSHC的三维地形多分辨率建模(英文)

针对应急灾情态势显示系统数据量庞大与数据更新迅速而造成模型数据量大、计算时间久的问题,提出了一种多分辨率三维地形建模方法。目的是使地形模型本身既满足视觉逼真度,又可以降低调用模型所耗的计算时间。为此,采用构建三维模型的分层递阶模型(hierarchical model,HM)的方法进行多分辨率建模。将用于遥感地物识别的基于尺度空间的层次聚类算法(scale-space based hierarchical clusteringalgorithm,SSHC)引入HM的构造过程,依据HM设置三维模型的各组节点,并与基于多边形优化的多细节层次(levels of detail,LOD)建模技术相结合构建大场景的三维地形模型.实验证明该方法可以实现符合视觉原理的由宏观到微观显示的同时降低地形模型的计算量,满足应急灾情态势显示的需要.     

SPOT-5全色与多光谱遥感影像融合方法比较

随着遥感技术的发展,SPOT-5卫星数据以其优越的性价比,得到了较多的应用.在阐述遥感图像融合原理的基础上,以SPOT-5全色与多光谱影像为数据源,应用IHS变换、PCA融合、Brovey变换、乘积变换和HPF融合等5种比较常用的融合方法,从提高空间分辨率和保持原始图像光谱信息的角度进行了分析评价,探讨最适合于SPOT...     

Predicting the potential distribution of invasive exotic species using GIS and information-theoretic approaches： A case of ragweed （Ambrosia artemisiifolia L.） distribution in China

Invasive exotic species pose a growing threat to the economy,public health,and ecological integrity of nations worldwide. Explaining and predicting the spatial distribution of invasive exotic species is of great importance to prevention and early warning efforts. We are investigating the potential distribution of invasive exotic species,the environmental factors that influence these distributions,and the ability to predict them using statistical and information-theoretic approaches. For some species,detailed presence/absence occurrence data are available,allowing the use of a variety of standard statistical techniques. However,for most species,absence data are not available. Presented with the challenge of developing a model based on presence-only information,we developed an improved logistic regres-sion approach using Information Theory and Frequency Statistics to produce a relative suitability map. This paper generated a variety of distributions of ragweed(Ambrosia artemisiifolia L.) from logistic regression models applied to herbarium specimen location data and a suite of GIS layers including climatic,topographic,and land cover information. Our logistic regression model was based on Akaike's Information Criterion(AIC) from a suite of ecologically reasonable predictor variables. Based on the results we provided a new Frequency Statistical method to compartmentalize habitat-suitability in the native range. Finally,we used the model and the compartmentalized criterion developed in native ranges to “project” a potential distribution onto the exotic ranges to build habitat-suitability maps.     

试论刘少奇对马克思主义中国化两大理论成果的贡献

刘少奇作为党的第一代中央领导集体的主要成员,对马克思主义中国化的两大理论成果即毛泽东思想和邓小平理论都作出了相应的贡献。他提出的许多观点补充和丰富了毛泽东思想的内容,同时他对毛泽东思想系统而又深刻地阐述,为毛泽东思想在全党指导地位的确立做出了巨大贡献;他在建设社会主义的过程中提出的许多建设性的观点,与邓小平理论的形成有着巨大渊源。     

Classification of vegetation in North Tibet Plateau based on MODIS time-series data

Based on the 16d-composite MODIS （moderate resolution imaging spectroradiometer）-NDVI（normalized difference vegetation index） time-series data in 2004, vegetation in North Tibet Plateau was classified and seasonal variations on the pixels selected from different vegetation type were analyzed. The Savitzky-Golay filtering algorithm was applied to perform a filtration processing for MODIS-NDVI time-series data. The processed time-series curves can reflect a real variation trend of vegetation growth. The NDVI time-series curves of coniferous forest, high-cold meadow, high-cold meadow steppe and high-cold steppe all appear a mono-peak model during vegetation growth with the maximum peak occurring in August. A decision-tree classification model was established according to either NDVI time-series data or land surface temperature data. And then, both classifying and processing for vegetations were carried out through the model based on NDVI time-series curves. An accuracy test illustrates that classification results are of high accuracy and credibility and the model is conducive for studying a climate variation and estimating a vegetation production at regional even global scale.     

小波变换用于示波计时电位法中重叠峰解析

基于小波变换的分频及时移不变性,将小波变换用于示波计时电位法中重叠峰解析的研究。探讨了极化电流大小、频率和示波信号中噪音、分解次数等因素对小波变换结果的影响。实验结果表明：小波变换能从含有噪音和背景的信号中提取有用信息,使信号中重叠峰获得了较好的分离,可用于多组分的定量分析。     

拖拉机前机罩装配线平衡优化

为了优化生产,提高装配线效率,在对约束理论及装配线平衡研究的基础上,运用eM-Plant软件建立了拖拉机前机罩总成装配线的仿真模型。通过运行仿真,识别出了瓶颈工序,并提出了改进方案,消除了装配线上的堵塞现象,降低了工位闲置时间,提高了装配线平衡率。仿真分析的结果为装配线的规划与布局提供了科学依据。     

线性调频Z变换在信号频谱分析中的应用

由于快速傅里叶变换（Fast Fourier Transform,FFT）算法不能精确反应信号的局部频谱特性,对此,本文以按时间抽取（DIT）的基-2FFT算法为基础,并参考基于FFT的布鲁斯坦（Bluestein）算法,设计了新的信号频谱分析软件,用于对实序列采样信号做线性调频Z变换,即频率抽样处在Z平面上,可沿任意螺线做频率抽样的频谱分析方法.结合工程实践对相同采样点数的信号在0—50Hz频率段做频谱分析,由频谱图可以看到,采用线性调频Z变换算法远比采用FFT变换算法求得信号的频谱更精确.     

用小波变换谱均衡法提高地震资料的分辨率

谱均衡方法是提高地震资料分辨率的一种有效方法.通常,谱均衡方法是通过傅立叶正变换在频率域实现的,但是,傅立叶变换存在着先天不足的缺陷,即时-频局域性差,它不能分析信号的局部频率特性.小波变换方法的时-频局部性要优于傅立叶变换,它克服了傅立叶变换的不足,既能保证变换是可逆的,又可以分析信号的局部频率特性.文中充分利用小波变换与谱均衡的优点,利用小波变换与谱均衡相结合的方法,对不同尺度的分解结果进行谱均衡处理,以达到提高分辨率的目的.