基于C++Builder的动画方法及应用

本文以对运动目标跟踪的计算机模拟为例，提出和实现了用C^ Builder语言实现动画模拟的各种方法。     

基于VC++的山树等自然景物的模拟

根据分形迭代函数系统具有模拟自然界景物的特点，本文用面向对象的编程语言VC 实现了一类模拟山树等景物的计算机编程，模拟效果十分逼真。     

微机模拟自动拍发MORSE电报

本文从MORSE电报码和MORSE信号的数字化编码方法出发，对MORSE电报的微机模拟自动拍发进行了研究，并给出了一种精确、稳定、可靠、实用的微机模拟实现方法。     

C＋＋下的医学模拟教学系统设计与实现

医学模拟教学是现代医学教学改革的必经之路。阐述了使用C＋＋编程环境,应用MFC与GDI＋结合进行上位机界面开发,设计并实现了一种医学模拟教学系统。     

V2C＋＋——一个用C＋＋实现的VHDL翻译型模拟器

由于面向对象的Ｃ＋＋语言更贴近描述硬件对象的ＶＨＤＬ语言Ｃ＋＋实现翻译型ＶＨＤＬ模拟器，并利用Ｃ＋＋本身的编译器的优化功能，可以得到运行的时间和空间方面效率较高的ＶＨＤＬ模拟器，Ｖ２Ｃ＋＋的原型设计和初步实践表明，用Ｃ＋＋实现ＶＨＤＬ翻译性模拟器比解释性模拟器具有较高效率，利于较大规模的电路的模拟。     

空情处理系统中二维卡尔曼滤波算法及实现

空情处理系统中，要对雷达所跟踪的目标用计算机进行实时模拟再现。为了提高模拟再现的精度，系统需要使用卡尔曼滤波算法去除目标测量数据中的噪声数据。参考已有的卡尔曼滤波算法描述，给出了一组详细的方程组来描述空情处理系统中的平面直角坐标系下卡尔曼滤波算法模型，并且基于C 实现了此算法。     

油藏数值模拟实时监控的实现

利用VC 多线程的功能实现油藏数值模拟实时监控。实践证明:该方法能节约大量的计算时间,并且在多个处理器存在的情况下会自动并行运行。 (1)计算模块多线程的实现 利用全局MFC函数AfxBeginThread()创建一个线程,为了能随时对计算过程实施控制,利用SetThreadPriority(int nPriority)函数将其设置为较低的优先级,以便于对其进行监控。     

基于VC++的一种模拟电子线路CAI软件的设计

论述了基于高级语言Ｖｉｓｕａｌ　Ｃ＋＋５．０进行计算机辅助教学（ＣＡＩ）软件的设计制作过程。以模拟电子线路中的单级交流放大器为例,给出了系统分析、具体设计以及采用Ｖｉｓｕａｌ　Ｃ＋＋　在Ｗｉｎｄｏｗｓ下的实现步骤。     

基于Visual C＋＋的雷达PPI显示仿真研究

本文结合用Visual C＋＋开发某P型雷达模拟器的实际，探讨了雷达PPI显示仿真中扫描线余辉的实现、目标回波的模拟显示、无闪烁刷新PPI显示器、多目标数据结构设计等关键技术问题。     

某型飞行模拟器综合显示仿真系统设计

本文针对某型航空装备的综合显示系统的模拟需要,运用仿真软件设计开发出一套显示仿真模拟系统平台,该系统平台采用Visualc＋＋开发环境、基于OpenGL图形库和MapX组件进行软件开发,可模拟实现飞行座舱的各系统工作画面,是该型装备模拟器中的重要人机交互部分。     

Mr. Twinn’s bombes

This article discusses the history and design of the special versions of the bombe key-finding machines used by Britain’s Government Code & Cypher School (GC&CS) during World War II to attack the Enigma traffic of the Abwehr (the German military intelligence service). These special bombes were based on the design of their more numerous counterparts used against the traffic of the German armed services, but differed from them in important ways that highlight the adaptability of the British bombe design, and the power and flexibility of the diagonal board. Also discussed are the changes in the Abwehr indicating system that drove the development of these machines, the ingenious ways in which they were used, and some related developments involving the bombes used by the U.S. Navy’s cryptanalytic unit (OP-20-G).     

基于Multisim8的元件模型的导入和应用

Multisim8是一款优秀仿真软件,使用该软件可对电路进行各种参数分析。我们在享受其便利的同时,也遇到因缺少元器件导致电路仿真无法进行的阻力。解决此问题的方法就是为元件建立仿真模型并新建或扩充已有的元器件库。在不熟悉Spice编程原理的情况下,我们可通过相关网址查找到元件厂商提供的元件模型,利用模型导入的方法来建立需要的新元件。通过对新元件应用电路的仿真分析,新元件完全符合要求。在此基础上,使用元件的导入与导出功能还可对新元件进行文件备份并实现新元件在不同用户间的资源共享。     

联合外形响应的深度目标追踪器

针对追踪器使用卷积网络提取出来的特征模板进行目标位置匹配时，易产生响应噪声的问题，本文提出一种联合外形响应和卷积响应的深度目标追踪方法。在当前帧中，由前一帧提供的目标信息先分别提取卷积特征和外形信息，然后获得相应的卷积位置响应和外形位置响应；最后利用外形位置响应对卷积位置响应进行修正，从而有效地抑制响应噪声。实验表明:这种方法具有较高的位置精度，能够提高目标跟踪的准确性。     

A method of defuzzification based on the approach of areas' ratio

The new method of defuzzification of output parameters from the base of fuzzy rules for a Mamdani fuzzy controller is given in the paper. The peculiarity of the method is the usage of the universal equation for the area computation of the geometric shapes. During the realization of fuzzy inference linguistic terms, the structure changes from the triangular into a trapezoidal shape. That is why the universal equation is used. The method is limited and can be used only for the triangular and trapezoidal membership functions. Gaussian functions can also be used while modifying the proposed method. Traditional defuzzification models such as Middle of Maxima − MoM, First of Maxima − FoM, Last of Maxima − LoM, First of Suppport − FoS, Last of Support − LoS, Middle of Support − MoS, Center of Sums − CoS, Model of Height − MoH have a number of systematic errors: curse of dimensionality, partition of unity condition and absence of additivity. The above-mentioned methods can be seen as Center of Gravity − CoG, which has the same errors. These errors lead to the fact that accuracy of fuzzy systems decreases, because during the training root mean square error increases. One of the reasons that provokes the errors is that some of the activated fuzzy rules are excluded from the fuzzy inference. It is also possible to increase the accuracy of the fuzzy system through properties of continuity. The proposed method guarantees fulfilling of the property of continuity, as the intersection point of the adjustment linguistic terms equals 0.5 when a parametrized membership function is used. The causes of errors and a way to delete them are reviewed in the paper. The proposed method excludes errors which are inherent to the traditional and non- traditional models of defuzzification. Comparative analysis of the proposed method of defuzzification with traditional and non-traditional models shows its effectiveness.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

一种面向查询的多文档摘要方法

面向查询的多文档摘要技术有两个难点 第一,为了保证摘要与查询密切相关,容易造成摘要内容重复,不够全面;第二,原始查询难以完整描述查询意图,需进行查询扩展,而现有查询扩展方法多依赖于外部语义资源。针对以上问题,该文提出一种面向查询的多文档摘要方法,利用主题分析技术识别出当前主题下的子主题,综合考虑句子所在的子主题与查询的相关度以及子主题的重要度两方面因素来选择摘要句,并根据词语在子主题之间的共现信息,在不使用任何外部知识的情况下,进行查询扩展。在DUC2006评测语料上的实验结果表明,与Baseline系统相比,该系统取得了更高的ROUGE评价值,基于子主题的查询扩展方法则进一步提高了摘要的质量。     

An approach to the synthesis of fuzzy stabilization systems with a priori unknown model of an object

A method of synthesis of fuzzy stabilization systems for a broad class of dynamic objects under the assumption that the mathematical model of the object is not known a priori is proposed. The control is formulated in the form of a proportional law of adjustment as a function of a macro-variable; the square of the Euclidean norm of the phase variables is adopted as the macro-variable. An analogous variable characterizes the distance of the object from the equilibrium position. Despite the simplicity of the control law, its sign remains constant due to the fact that the macro-variable is positive-definite over the entire phase space. The switching times of the signals are determined by fuzzy identification of the system’s dynamic modes on the basis of measurement of the derivatives of the macro-variable.     

CCD camera modeling and simulation

In this paper we propose a modeling of an acquisition line made up of a CCD camera, a lens and a frame grabber card. The purpose of this modeling is to simulate the acquisition process in order to obtain images of virtual objects. The response time has to be short enough to permit interactive simulation. All the stages are modelised: in the first phase, we present a geometric model which supplies a point to point transformation that provides, for a space point in the camera field, the corresponding point on the plane of the CCD sensor. The second phase consists of modeling the discrete space which implies passing from the continous known object view to a discrete image, in accordance with the different orgin of the contrast loss. In the third phase, the video signal is reconstituted in order to be sampled by the frame grabber card. The practical results are close to reality when compared to image processing. This tool makes it possible to obtain a short computation time simulation of a vision sensor. This enables interactivity either with the user or with software for the design/simulation of an industrial workshop equipped with a vision system. It makes testing possible and validates the choice of sensor placement and image processing and analysis. Thanks to this simulation tool, we can control perfectly the position of the object image placed under the camera and in this way, we can characterise the performance of subpixel accuracy determining methods for object positioning.     

一种双优选的半监督回归算法

针对一些工业过程中存在的有标签样本少，而传统的半监督学习无法保证对无标签样本准确预测的问题，提出一种双优选的半监督回归算法。首先，确定有标签样本密集区中心，并计算无标签样本与该中心的相似度，实现对无标签样本的优选，同时根据有标签样本间相似度优选有标签样本；然后，利用高斯过程回归方法对选出的有标签样本建立辅学习器，以对优选出的无标签样本预测标签；最后，利用这些伪标签样本提升主学习器的预测效果。通过数值例子以及实际脱丁烷塔过程数据进行建模仿真，证明了所提方法在有标签样本较少的情况下有良好的预测性能。