空间光通信控制计算机接口设计

对空间光通信捕获、跟踪、瞄准伺服系统中信息处理控制计算机的接口设计进行了详细的分析,并讨论了各部分接口电路的具体结构组成、功能和器件选择。     

钢管自动跟踪及在线自动定长切割控制器的软硬件设计

采用单片机实现了焊管机生产线钢管自动定长切割的控制，并使其具有结构小、功能强控制精度高等优点；介绍了控制器的软硬件设计思想和设计方法．     

Feature selection based on distance correlation: a filter algorithm

Feature selection (FS) is one of the most powerful techniques to cope with the curse of dimensionality. In the study, a new filter approach to feature selection based on distance correlation is presented (DCFS, for short), which keeps the model-free advantage without any pre-specified parameters. Our method consists of two steps: hard step (forward selection) and soft step (backward selection). In the hard step, two types of associations, between univariate feature and the classes and between group feature and the classes, are involved to pick out the most relevant features with respect to the target classes. Due to the strict screening condition in the first step, some of the useful features are likely removed. Therefore, in the soft step, a feature-relationship gain (like feature score) based on the distance correlation is introduced, which is concerned with five kinds of associations. We sort the feature gain values and implement the backward selection procedure until the errors stop declining. The simulation results show that our method becomes more competitive on several datasets compared with some of the representative feature selection methods based on several classification models.     

分形插值在储层参数预测中的应用

岩心分析和测井分析表明,沉积岩的物性分布常常具有分形特征;文中用改进实验变差函数分析某油田X探区测井和取心的孔渗数据,得到在某些井中孔渗参数具有分形特征,并采用fGn分形插值技术,得到井间参数的空间分布。     

Maximum likelihood and optimum location of observation sites in geodetic and spatial surveying

In geodetic and spatial surveying, accurate statistical es-timates of the Cartesian coordinates of a stationary target depend, in general, on such factors as target position, number and type of instruments, their location, their accuracy, and their mix. Direct measurements are assumed to be made in elevation, azimuth, and range with errors independently and normally distributed. For a mix of instruments, theoretical arguments are established using maximum likelihood estimation to determine the optimal siting of the instruments which minimizes (GDOP)² or the square of the geo-metric dilution of precision = sum of the variances of the estimates in the three orthogonal directions.     

“非遗”视野下邕剧闹热的审美特质

从邕剧的音乐伴奏、表演特色、题材选择等方面看，闹热性是邕剧凸显的审美特质。这一特质的形成与邕地民风、演出场合、观众欣赏水平等因素息息相关。这一审美特质使得邕剧有别于其它雅化的曲艺形式，保持了质朴的气息与粗犷的生命力，特点鲜明。认识这一审美特质，对保护与挖掘邕剧的艺术魅力，指导邕剧的非遗保护，有着重要的导向性意义。     

高等学校岗位绩效工资实施策略研究

在非线性条件下，扩展Kalman滤波(EKF)的应用最为广泛。但是，由于它采用了Taylor展开的线性变换来近似非线性模型，因而存在计算量大、实时性差、估计精度低等缺点。粒子滤波(PF)用一些带有权值的随机样本(粒子)来表示所需要的后验概率密度，并通过这些粒子的加权来估计目标运动的状态，从而得到基于物理模型的近似最优数值解，具有精度高、收敛速度快等特点。通过仿真实验将PF与EKF的性能进行了对比，并且研究了噪声协方差与粒子数对PF的影响。PF与EKF的对比实验结果表明，在强非线性条件下，PF比EKF跟踪精     

基于S-D分配的集中式多传感器不敏滤波算法

研究了非线性环境中的集中式多传感器多目标跟踪问题,提出了一种基于S-D分配的集中式多传感器不敏滤波算法。算法通过广义S-D分配技术实现每个传感器中的量测与目标的数据关联,求得所有可能互联中的最佳划分,然后按照顺序多传感器联合概率数据互联算法,依次处理最佳划分中各传感器源于同一目标的量测,在此基础上通过不敏卡尔曼滤波(UKF)解决非线性系统中的目标跟踪问题。最后给出了该算法与MSJPDA/EKF算法的仿真比较,结果表明该算法具有更高的稳定性和跟踪精度。     

论管理会计的信息质量特征

管理会计和财务会计两门会计学科在服务对象上具有较大的差别，但是，作为会计系统的两个分支，管理会计与财务会计所提供的信息在很多方面具有相同的质量特征；而作为具有不同目的和服务对象的会计分系统，两者所提供的信息的质量特征又存在很大的差异。本文就管理会计与财务会计信息质量特征中差别较大的方面作一分析研究     

Understanding the role of facial asymmetry in human face identification

Face recognition has important applications in forensics (criminal identification) and security (biometric authentication). The problem of face recognition has been extensively studied in the computer vision community, from a variety of perspectives. A relatively new development is the use of facial asymmetry in face recognition, and we present here the results of a statistical investigation of this biometric. We first show how facial asymmetry information can be used to perform three different face recognition tasks—human identification (in the presence of expression variations), classification of faces by expression, and classification of individuals according to sex. Initially, we use a simple classification method, and conduct a feature analysis which shows the particular facial regions that play the dominant role in achieving these three entirely different classification goals. We then pursue human identification under expression changes in greater depth, since this is the most important task from a practical point of view. Two different ways of improving the performance of the simple classifier are then discussed: (i) feature combinations and (ii) the use of resampling techniques (bagging and random subspaces). With these modifications, we succeed in obtaining near perfect classification results on a database of 55 individuals, a statistically significant improvement over the initial results as seen by hypothesis tests of proportions.