自动验证

We are informed through investigation: Major now website needs to fill in test and verify piles up information, group of hair software are current cannot identify automatically and fill in information of these test and verify, that is to say, use these breath of group of hair software post a letter, must want to a person specially assigned for a task will be in charge of.

我们通过调查得知：现在大部分的网站都需要填写验证码信息，而群发软件目前不能自动识别并填写这些验证信息，也就是说，使用这些群发软件发信息，必须要有一个专人来负责。

Moreover, when a design is pronounced incorrect by model checking methods, a counterexample is reported.

而模型检测方法是一种有效的完全自动的形式验证方法，它可以完全自动的验证系统模型是否满足某种属性，并且在不满足时，能找出导致错误的输入路径。

Finally, a decidability result about LTLC is given.

此结果可用于有穷状态反应系统的自动验证。

The difficulty lies in the fact that it is hard to find a signature model that is insusceptible to intro-classes distance and at the same time is sensitive to inter-classes distance.

摘要离线中文签名的自动验证是一个极其复杂的问题，其困难主要在于难以建立能够容忍类内偏移同时对类间区别相对敏感的签名模型。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究，主要包括：首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法，改进了均值迁移方法步长取值保守的弱点，建立了快速均值迁移方法，证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法；进行了平面和3维随机分布数据集的最大概率密度搜索对比试验，试验结果表明，快速均值迁移方法大大减少了迭代次数；建立了基于快速均值迁移的目标跟踪方法，利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像，对人脸和汽车目标跟踪性能分别进行了对比试验，并进行了高噪声人脸图像目标跟踪试验，结果表明，基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能，具有很强的抗干扰能力；建立了一种新型彩色目标自动识别方法，采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算，建立了高效的搜索方法，实现了彩色目标的快速识别；将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合，建立了带有控制系统的快速目标自动识别与跟踪系统，并在不同场景下进行了目标自动识别与跟踪试验，验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

Until now, there are many kinds of machine language systemwhich are use to prove mathematical theorems, and several of them are recognized bythe mathematician and computer experts, such as HO1, Mizar, PVS, coq etc.

迄今为止，世界已有多种可用来进行数学命题证明和逻辑推理的机器语言系统，但其中只有少数几种语言可被普遍接受并受到数学家与计算机专家的认可，如HOL、Mizar、PVS、Coq等，它们各自的初衷不同，却有一个共同的特征：人类使用机器语言书写、计算、逻辑推理和证明文本性质的数学问题，并由计算机自动验证其正确性。

In this verification, according the topology of PCI Express, I have done some modification of the most popular verification environment at this moment, for example: add some modules with self-check function which has improve the efficiency of debug.

本次验证工作中，以目前国内外最流行的验证环境模型为基础，结合PCI Express的实际情况，做了许多有效的改进，增加了一些具有自动检查结果功能的模块，有效的提高了此后的调试过程的效率。

The methods of theory analyses and digital simulation have been used in this thesis and several schemes of strapdown guidance law based on analyzing the performance of several classical guidance laws have also been present according to the characteristics of strapdown Anti-Radiation homing seeker. The stapdown guidance systems were built for a certain Anti-Radiation missile, adopting acceleration autopilot and the attitude autopilot, and the paper has focus on analyzing the performance of low frequency strapdown Anti-Radiation homing seeker. The Approaches of lead correction and dead-zone relay control were given to improve the guidance precision, and also the increasable observability law was attempt and validate.

本文采用理论分析和仿真实验相结合的方法，在对经典制导律进行理论分析和验证的基础上，针对捷联反辐射导引头的特点，提出了捷联制导律多种设计方案，并以某型反辐射导弹为应用背景，分别采用姿态角反馈自动驾驶仪和过载反馈自动驾驶仪构造了捷联制导系统，重点基于反辐射导引头的低频端特性，开展了捷联制导律的导引性能对比分析工作，提出了应用超前校正和带死区继电控制提高制导精度的方法，并对提高可观测性的捷联制导算法的实现思路进行了尝试和验证。

To overcome the bad effect resulting from the nonlinearity time-variability and uncertainty on autopilot system performance during the motion process of aerodynamics missile, and to further improve the flight quality of missile, the autopilot system and used control method are researched. Firstly the integrant structure of system is discussed; then baaed un introducing the traditional PID method, controllers for missile attitude motion are designed respectively using fuzzy self-turning PID method and neural network self-adaptive PID method; at last a simulation experiment is finished. By comparing the simulation results that the designed controllers have good qualities is showed, and the feasibility and validity of applying fuzzy control and neural network into automatic control of aerodynamics missile is confirmed, and the base that other nonlinear control theory can be combined with the traditional control for missile to further improve the performance of missile control system is established.

为了克服飞航导弹运动过程中的非线性、时变性和不确定性对自动驾驶仪系统性能的不良影响，进一步提高导弹的飞行质量，对自动驾驶仪系统及其采用的控制方案进行了研究；首先对系统的整体结构进行了分析，然后在介绍经典PID方案的基础上，分别采用模糊自调整PID方案和神经网络自适应PID方案设计了导弹姿态运动控制器，最后进行了仿真实验；仿真结果的对比展示了所设计控制器良好的品质，验证了将模糊控制和神经网络应用于飞航导弹自动控制中的可行性和有效性，为其它非线性控制理论与导弹传统控制相结合以进一步提高导弹控制系统的性能奠定了基础。

The paper introduces most of Scorpion's research work up to date,including verification of whether the Dewey Decimal Classification System can be used in automatic topic recognition, experiments for Scorpion Dewey Classification Database setup and evaluations, improvement and quality evaluation of Scorpion result sets and so on.

介绍OCLC的Scorpion项目在运用杜威十进分类法探索电子资源自动标引和编目方面所做的主要研究工作，并对杜威法作为自动主题识别工具的可行性进行验证；接着建立Scorpion杜威数据库实验并对其进行结果评价和结果集改进，分析Scorpion的核心思想和技术，最后简单评价scorpion所取得的成绩以及在自动标引上取得的新进展。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新