查询词典 detection

Intrusion detection analysis technology is the core of intrusion detection system which includes abnormity intrusion detection and abused intrusion detection.

入侵检测分析技术是入侵检测系统的核心，主要可分为异常入侵检测和误用入侵检测。

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。

The essence of EDID is to set up a normal behavior fuzzy sub collection A on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection B with real time transfer array, then detect with the principle of minimum distance in fuzzy discernmethodThe innovation point of this paper is : Put forward the method of EDID, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of IDS; Use tree type structure to preservation the character database, have saved greatly stock space; in detection invade , carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method.

本文的创新点是：通过对特权进程的系统调用及参数序列的研究，提出了基于Euclidean距离的入侵检测方法EDID，不仅能有效降低漏报率和误报率，而且使实时入侵检测成为可能；设计有独立而完整的特征数据库，根据被监控程序的类别，分别设计正常行为、异常行为等，提高了检测系统的强健性和可伸缩性；特征数据库按树型结构存储，大大节省了存储空间；在检测入侵时，实行频度优先原则，优先分析和处理信息表中的高频度行为特征，提高检测的速度和效率，使实时入侵检测成为可能；同时实现了异常入侵检测和误用入侵检测，弥补了单一检测方法的不足。

A series PCR amplification for differential control strains and DNA samples diluted gradient (1:10) have been used to evaluate the specificity and sensitivity of PCR assay established.Results 1. Detection of GAS by PCR assay: The 345bp specific fragment of speB gene were amplified in all the tested GAS strains including three strains of scarlet fever, whereas it was detected in none of the differential control strains. The lowest limit of detection was 6.5pg genome DNA of GAS strain. 2. Detection of corynebacterium diphtheria by PCR assay: The318bp specific fragment of toxB gene were amplified in all the tested toxigenic corynebacterium diphtheria strains, whereas it was detected in none of the differential control strains. The lowest limit of detection is 850fg/μl genome DNA of corynebacterium diphtheria strain. 3. Detection of Lp by PCR assay: The 340bp specific fragments of mip gene were amplified in all the tested Lp strains, whereas it was detected in none of the differential control strains including three strains of non-pneumophila.

结果：1、用PCR方法检测A组链球菌：以A组链球菌致热性外毒素基因speB为靶序列，设计的扩增引物对全部对照菌株的扩增结果为阴性，而全部A组链球菌参考株均能扩增出特异的345bp片段，其中包括三株猩红热链球菌，检测敏感性为6.5pg／μl DNA.2、用PCR方法检测白喉杆菌：以白喉外毒素基因toxB为靶序列，设计的扩增引物对全部白喉杆菌参考株均能扩增出特异的318bp片段，而全部对照株的扩增结果为阴性，检测敏感性为850fg／μl DNA.3、用PCR方法检测嗜肺军团菌：以嗜肺军团菌巨噬细胞感染增强子基因mip为靶基因，设计的引物对嗜肺军团菌14个血清型参考株均扩增出特异的340bp片段，而鉴别对照株包括三株非嗜肺军团菌均未扩增出任何片段。

Many new detection techniques are proposed, that include: To overcome the faults of cross-terms and short unambiguity range for the common Wigner-Ville Distribution , short-time Fourier transform and Gabor transform are applied to SAR moving target detection. To improve the detection performance of WVD in noise environment, a new technique based on the Cross-WVD is proposed. The application of fractional Fourier transform to chirp signal detection is analyzed and extended to SAR moving target detection. To eliminate the restriction of chirp-Fourier transform, a new modified definition is proposed and applied to SAR moving target detection. To detect multiple moving targets whose scattering intensities are different heavily, the CLEAN technique is combined with the above techniques and the ideal detection performance is achieved. At last, the whole dissertation is concluded.

具体的研究成果如下：针对常用的Wigner-Ville分布在多目标情况下存在交叉项，并且多普勒不模糊范围小的缺点，提出将短时Fourier变换和Gabor变换应用于SAR运动目标检测，分析了其优势所在；为进一步提高Wigner-Ville分布低信噪比条件下的信号检测能力，提出基于互Wigner-Ville分布的运动目标检测方法；分析了分数阶Fourier变换在线性调频信号检测中的应用，提出基于分数阶Fourier变换的运动目标检测算法；对离散Chirp-Fourier变换的定义进行了修正，提出修正的离散Chirp-Fourier变换，克服了限制其应用的约束条件，并用于SAR运动目标检测当中；强度相差较大的多运动目标检测历来是机载SAR技术的一个重点和难点，我们将CLEAN思想融入上述多种算法当中，良好地解决了该问题。

The detection capability of single buoy is limited. To improve detection performance, we studied the detection-level fusion of several buoys based on the position and information characteristics of several airdropped buoys. On the basis of the analysis to distributed detection fusion theory, we studied the structure, rule and algorithm of the buoy signal detection-level fusion based on distributed detection.

针对单枚浮标对目标检测能力有限的问题，为了提高对目标的检测性能，根据多枚空投浮标的位置和信息特点，对多枚浮标的检测级融合进行了研究；在对分布式检测融合理论进行研究的基础上，研究了基于分布式检测的浮标信号检测级融合体系结构、融合规则、融合算法等。

The detection results of traditional edge detection method are fuzzing and sensitive to noise for convolution operation,and the detection results of morphological edge detection method are easy to lose edge information for various detection results.

针对传统的边缘检测方法因卷积运算造成模糊图像边缘，且对噪声敏感，各种形态学边缘检测方法因检测到的边缘信息类型不同而容易使边缘信息丢失，提出一种组合式抗噪型形态学边缘检测算子；并利用不同尺度的结构元素具有不同的图像边缘检测效果，进行形态结构元素的尺度调整，得到不同尺度结构元素下的图像边缘位置；然后进行加权合成来获得边缘图像；实验表明，与其他的传统或者形态学边缘检测方法相比，该文方法不仅具有更好的噪声抑制功能，而且其检测到的边缘轮廓更加清晰完整，边缘细节更加丰富。

Along with enterprise paying more attention to the importance of quality detection and detection instruments using popularly,a lot of information is stored, so it is urgent to build dealing with detective data information system. This system could get timely product quality data, and grasp the quality change trend in order to support effectively maintenance of old products and decision-making for new product development, as well as help the quality detection personnel extricating of repeated , burdensome statistic and handworked work,This paper firstly bring forward storing tabacco-quality-detection data by using database technology,aiming at data storing of product detection and further analyzing demand.

随着企业对质量检测重要性认识的不断加大，检测仪器的大量使用，许多企业已经积累了大量的检测数据，迫切需要一套储存、加工处理分析检测数据的信息系统，把质量检测人员从重复繁杂的统计计算和手工作业中解脱出来，获取及时的产品质量数据，实时把握产品质量变化趋势，以求更有效地支持老产品的维护和新产品开发的战略决策。

This thesis from the angle of signal detection, first theoretically gives out a RFOG closed signal detection design based on DSP. The signal detection system mainly includes related detection. signal conversion and the formation of feedback saw tooth. Related detection must guarantee signal synchronization sampling, and get the biggest signal noise ratio.

本文首先分析了谐振式光纤陀螺的基本原理和系统结构，并从信号检测的角度出发，从理论上给出了一个基于DSP实现的谐振式光纤陀螺的闭环信号检测方案，信号检测系统主要包括相关检测，信号的转换和反馈锯齿波的形成。

Results: The PreCS intersected the cerebral longitudinal fissure in the shape of "Y", and the detection rate of MRI was 8.33%; the PreCS intersected the superior frontal sulcus, the middle frontal sulcus and the inferior frontal sulcus in the shape of inverted "Y", and the detection rates of MRI were 90.00%, 3.33%, and 76.67%, respectively; the PreCS was not only parallel to central sulcus, hut also intersected the CS, and the detection rates of MRI were 83.33% and 16.67%, respectively; the PreCS intersected the lateral fissure in the shape of inclined "Y", and the detection rate of MRI was 80.00%; the PreCS was paralleT to the anterior ascending ramus of lateral fissure, and the detection rate of MM was 98.33%.

结果：大脑中央前沟与大脑纵裂呈&Y&形相交，MRI显示率为8.33%；大脑中央前沟与额上沟、额中沟及额下沟均呈倒&T&形相交，MRT显示率分别为90.00%、3.33%和76.67%；大脑中央前沟与中央沟有近似乎行排列和呈倒&Y&形相交2种情形，MRI显示率分别为90.00%、83.33%和16.67%；大脑中央前沟与中央沟有近似平行排列和呈倒&Y&形相交，MRI显示率为80.00%；大脑中央前沟与外侧裂前升支呈平行排列，MRI显示率为98.33%。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。