Linux下面向函数的动态内存泄漏监测

动态内存泄漏是一个严重的编程错误,可以导致程序的错误行为。由于定位内存泄漏发生的位置是困难的,一些工具已被开发出来辅助程序员找出内存泄漏。论文提出了面向函数的动态内存泄漏监测的概念,阐述了它的必要性和有效性,并给出了在Linux下的实现。

面向传递函数多功能数字计算机仿真

介绍面向传递函数多功能数字计算机仿真，包括对开环系统。

基于图相似度的遥感图像道路图提取

遥感图像中的道路图是典型的曲线形结构,其提取是计算机视觉中的一个重要问题。对于这样的结构,拓扑是最重要的特征,尤其需要确保提取结果的连通性一致。在道路网中,一条道路的不连通完全改变导航结果。许多自动提取方法专注于利用更深的神经网络,但依然习惯性使用逐像素损失函数,如福卡损失。然而这种损失函数不适用于这个问题,因为它们无法反馈错误的拓扑。论文讨论一个面向曲线形结构连通性的损失函数,主要思想是根据曲线在图像背景区域之间造成的分隔来衡量曲线本身的连通性。显然,若所提取曲线断连,所产生的缝隙会导致位于曲线两侧的背景区域连通;损失函数旨在抑制背景区域之间此类不必要的连通,从而抑制预测结果中曲线的断连。此外,损失函数还惩罚背景区域错误的断开,从而减少预测曲线图中假正例的产生。在标准道路数据集上进行的实验结果表明,基于该损失函数的卷积网络改善了分割结果连通性,足以将其骨架化以生成与其它当前最先进网络媲美的道路图。该损失函数可以不加修改地放置于任何现有的深度卷积网络中。

A new method to calculate lateral force acting on stabilizing piles based on multi-wedge translation mechanism

A new method based on the multi-wedge translation mechanism is presented to calculate the lateral force acting on the stabilizing piles. At first, there is no assumption for the shape of potential sliding surface, it is just considered that the potential sliding surface is a composite of a number of straight lines. And then, the potential sliding mass is divided into a number of triangular wedges take with these straight lines as its base. The kinematic theorem of limit analysis is adopted to calculate the rate of external work and the rate of energy dissipation for each triangular wedge, respectively. Furthermore, the multivariate functions are established to calculate the lateral force acting on the stabilizing piles. The lateral force and the corresponding potential sliding surfaces can be obtained by an optimizational technique. At last, an example is taken to illustrate the method. The effect of soil strength parameters, slope angle and pile roughness on the lateral force and the corresponding potential sliding surface are analyzed.The result are compared with those obtained using other methods.

充实计算机应用内容是专业课教材改革的趋势

根据水电部科教司、水电出版社决定,1989年12月,华北水电学院、武汉水电学院三名教师负责水动专业课教材〈水电站自动控制基础理论〉一书的编写工作。经过一年的工作,1990年12月交稿,1994年出版。

Automated visual inspection of surface defects based on compound moment invariants and support vector machine

The traditional inspection methods are mostly based on manual inspection which is very likely to make erroneous judgments due to personal subjectivity or eye fatigue, and can＇t satisfy the accuracy. To overcome these difficulties, we develop a machine vision inspection system. We first compare several kinds of methods for feature extraction and classification, and then present a real-time automated visual inspection system for copper strips surface （CSS） defects based on compound moment invariants and support vector machine （SVM）. The proposed method first processes images collected by hardware system, and then extracts feature characteristics based on grayscale characteristics and morphologic characteristics （Hu and Zernike compound moment invariants）. Finally, we use SVM to classify the CSS defects. Furthermore, performance comparisons among SVM, back propagation （BP） and radial basis function （RBF） neural networks have been involved. Experimental results show that the proposed approach achieves an accuracy of 95.8% in detecting CSS defects.

Modeling of radiative properties of metallic microscale rough surface

The radiative properties of a gold surface with one-dimensional Gaussian random roughness distribution were obtained with the finite-difference time-domain （FDTD） method and the recursive convolution treatment of the Drude Model. The bi-directional reflection distribution function （BRDF） for both TM mode and TE mode were obtained and compared with the highly accurate experimental data from the earlier work. The incident wavelength varies from 1.152 μm to 3.392 μm and incident angle is at 300-70°, respectively. The results show that, the predicted values and experimental results are in good agreement. The highly specular peak in the BRDF is reproduced in the numerical simulations, and the increase of the TM mode BRDF is found to be attributed to the effect of a variation in the optical constant at the incident wavelength period.

Multi-domain Boundary Element Method with Dissipation

The wave diffraction and radiation around a floating body is considered within the framework of the linear potential theory in a fairly perfect fluid. The fluid domain extended infinitely in the horizontal directions but is limited by the sea bed, the body hull, and the part of the free surface excluding the body waterplane, and is subdivided into two subdomains according to the body geometry. The two subdomains are connected by a control surface in fluid. In each subdomain, the velocity potential is described by using the usual boundary integral representation involving Green functions. The boundary integral equations are then established by satisfying the boundary conditions and the continuous condition of the potential and the normal derivation across the control surface. This multi-domain boundary element method （MDBEM） is particularly interesting for bodies with a hull form including moonpools to which the usual BEM presents singularities and slow convergence of numerical results. The application of the MDBEM to study the resonant motion of a water column in moonpools shows that the MDBEM provides an efficient and reliable prediction method.

Modeling bidirectional reflection distribution function of microscale random rough surfaces

The radiative properties of three different materials surfaces with one-dimensional microscale random roughness were obtained with the finite difference time domain method(FDTD) and near-to-far-field transformation.The surface height conforms to the Gaussian probability density function distribution.Various computational modeling issues that affect the accuracy of the predicted properties were discussed.The results show that,for perfect electric conductor(PEC) surfaces,as the surface roughness increases,the magnitude of the spike reduces and eventually the spike disappears,and also as the ratio of root mean square roughness to the surface correlation distance increases,the retroreflection becomes evident.The predicted values of FDTD solutions are in good agreement with the ray tracing and integral equation solutions.The overall trend of bidirectional reflection distribution function(BRDF) of PEC surfaces and silicon surfaces is the same,but the silicon's is much less than the former's.The BRDF difference from two polarization modes for the gold surfaces is little for smaller wavelength,but it is much larger for the longer wavelength and the FDTD simulation results agree well with the measured data.In terms of PEC surfaces,as the incident angle increases,the reflectivity becomes more specular.

基于EXCEL函数式设计的播出排班场景系统

引言 排班场景，一直是困扰电视播出部门基层管理人员的难题。频繁倒班，人员调换班，无告警的编排，人力绩效统计。考勤表编制等等，常常使人陷入无边的数字苦海。

A function associated with spherically convex sets

This paper introduced a kind of functions associated with spherically convex sets and discussed their basic properties.Finally,it proved the spherical convexity/concavity of these functions in lower dimensional cases,which provides useful information for the essential characteristics of these functions determining spherically convex sets.The results obtained here are helpful in setting up a systematic spherical convexity theory.

Surface Reconstruction of Scanned Human Body Using Radial Basis Functions and Adaptive Partition of Unity

It is important to reconstruct a continuous surface representation of the point cloud scanned from a human body. In this paper a new implicit surface method is proposed to reconstruct the human body surface from the points based on the combination of radial basis functions （RBFs） and adaptive partition of unity （PoU）. The whole 3D domain of the scanned human body is firstly subdivided into a set of overlapping subdomalns based on the improved octrees. The smooth local surfaces are then computed in the subdomalns based on RBFs. And finally the global human body surface is reconstructed by blending the local surfaces with the adaptive PoU functions. This method is robust for the surface reconstruction of the scanned human body even with large or non-uniform point cloud which has a sharp density variation.