在VB中调用API函数

举例说明了如何在VB中声明、调用API函数。     

PowerBuilder中调用Windows API函数

简单描述了在PowerBuilder中调用Windows API函数的重要性.重点分析了PowerBuilder如何调用API函数,以及在调用过程中需要注意的事项.     

在VB中调用API函数

举例说明了如何在VB中声明、调用API函数.     

在VB中调用Windows API函数

本文首先说明在VB中调用Windows API函数的必要性和可能性,然后给出了在VB中调用Windows API函数的方法和三个实例。     

在VB中调用Windows API函数

本文首先说明了在VB中调用Windows API函数的必要性和可能性,然后给出了在VB中调用Windows API函数的方法和三个实例。     

PowerBuilder调用API函数剖析

利用PB开发出灵活、实用、高效的应用程序,就必然涉及到对Windows API函数的调用。MSDN给出的API均为C语言格式,要在PB中调用Windows API函数,就需要将API转换成合法的PB外部函数声明,并使用正确的参数调用A-PI函数。     

VB实现不规则区域的填充

本文提出了一种简单的不规则区域快速填充算法。该算法解决了传统的递归算法在填充较大区域时堆栈溢出的缺 点,实现了填充区域的形状、大小均未知的情况下,对该区域的填充。     

基于边界扫描的快速区域填充算法

提出一种基于边界扫描的区域填充新算法．该算法能对任意复杂的单连通区域进行快速填充,弥补了扫描线算法应用受限制的缺陷。并结合例子详细的讲解了算法原理,最后进一步分析出该算法找出所有正确匹配的区域左右边界点对的时间复杂度最优情况约为O（n）。     

调用Windows API函数操作注册表

运用Windows API提供的有关操作注册表的语句和函数,有利于提高编写程序的适应性和可靠性.     

VB6.0中应用API函数实现PoWerpoint2000的链接

介绍了在VB中利用Windows API函数实现与PowerPoint2000链接的方法。     

Windows API在VB中的应用

API函数介于操作系统核心和WINDOWS应用程序之间。本文通过几个实例,介绍Windows API函数在VB中的应用。     

VB调用Windows API函数的方法

本文介绍了在 Ｖｉｓｕａｌ Ｂａｓｉｃ中利用动态连接函数库调用 Ｗｉｎｄｏｗｓ ＡＰＩ函数的方法,并通过实例介绍了部分 ＡＰＩ函数的功能。     

VB6中面向对象的数据存取API

本文介绍了在 Ｖｉｓｕａｌ Ｂａｓｉｃ ６中使用的三种数据存取 ＡＰＩ方式。通过对这三种数据存取方式的对象 层次、可连接数据库和优越性的比较,给出了在具体开发应用程序时如何选择合适的数据存取方式 的依据,并展望了未来数据库应用程序开发中数据存取方式的前景。     

基于VB技术的SolidWorks二次开发方法

介绍在VisualBasic环境中进行SolidWorks软件的二次开发。重点介绍SolidWorks对象的属性和使用方法,并给出了实例。     

基于VB的Windows API函数应用

API函数介于操作系统核心和Windows应用程序之间,能够直接控制和处理计算机的系统参数和硬件资源,实现许多高级功能。通过具体实例,阐述了在VB中调用API函数的方法。     

Using low-discrepancy sequences and the Crofton formula to compute surface areas of geometric models

The surface area of a geometric model, like its volume, is an important integral property that needs to be evaluated frequently and accurately in practice. In this paper, we present a new quasi-Monte Carlo method using low-discrepancy sequences for computing the surface area of a 3D object. We show that the new method is more efficient than a Monte Carlo method using pseudo-random numbers. This method is based on the Cauchy-Crofton formula from integral geometry, and it computes the surface area of a 3D body B by counting the number of intersection points between the boundary surface of B and a set of straight lines in E³. Low discrepancy sequences are used to generate the set of lines in E³ to reduce the estimation errors that would be caused by using statistically uniformly distributed lines. We study and compare two different methods for generating 3D random lines, and demonstrate their validity theoretically and experimentally. Experiments suggest that the new quasi-Monte Carlo method is also more efficient than the conventional approach based on surface tessellation.     

ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization

The spatial scan statistic (SaTScan) has become one of the most popular methods for detecting and evaluating spatial clusters. However, this method can only identify circular or elliptical clusters and is not a good fit for the detection of irregularly shaped clusters. Numerous methods have since been proposed to solve this problem. Nevertheless, if multiple clusters coexist, these methods may not identify the correct situation, because the interference between clusters can easily lead to a tree-like shaped cluster and cause confusion in the results. In this paper, we propose an Ant Colony Optimization based Multiple Cluster Detection (ACOMCD) algorithm, which combines classical SaTScan with the ant colony optimization (ACO) approach. In the initial stage, SaTScan is first used to mark the candidate cluster areas according to the significance of their maximum likelihood evaluations. Then ACO-based scan statistic is carried out separately on these candidate clusters to identify their natural shapes. The algorithm was designed for spatial regional count data only. Comparisons between ACOMCD, SaTScan, GaScan (genetic algorithm-based scan statistic), and FleXScan (flexibly shaped spatial scan statistic) on three kinds of simulated datasets show that ACOMCD performs the best in simultaneously determining the exact number of clusters and identifying multiple irregularly shaped clusters. A case study on esophageal cancer in eastern China further validates the correctness and effectiveness of ACOMCD.