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.

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During the pre-processing of the finite element analysis, the interactive subdivision method which combines the computer's high efficiency with human's intelligence is realized. The dummy node method, which is used to solve the subdivision problem about multiply connected region and the region with isolated verge combining the optimization algorithm in topology, is brought forward for the first time in this dissertation.

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In chapter 4, the Newlands harmonic wavelet is improved and a new type of wavelet with better time-frequency characteristic is constructed. Frequency band of signal can be divided arbitrary with the improved harmonic wavelet so that the phenomena of aliasing are reduced. Several typical fault signals in Electromechanical System are analyzed with it. In addition to the improved harmonic wavelet in chapter 4, a new half-complex wavelet is presented to improve the complex wavelet, which is given by Chaari.O. A unilateral recursive algorithm is derived to improve the real-time characteristic. A parameter n is imported to make the time-frequency and filtering characteristics of it better and its ability of extracting fault feature is enhanced.

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The sufficient conditions to guarantee robust exponential stability for the closed-loop systems are obtained based on Linear Matrix Inequality, moreover, the approach of design of robust H# output feedback controller is introduced.3 The problem of reliable H# control for a class of Lur"e systems with polytopic uncertainties is studied when all control components are operational as well as when some control components experience failures, the design approach of reliable H# controller is also obtained.4 Considering a class of uncertain Lur"e singular system with time-delays, the problem of robust stability is investigated based on Barbalats Lemma and nonsingular linear transformation of model reduction.

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In the second chapter, we obtain a sufficient condition for that there exist two elements x and y which satisfy x⊥Iyand x⊥By. As a result, it is proved that there exist elements x and y with x⊥Iyand x⊥Eyin any real two-dimensional normed linear space.

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In addition, a new synchronization scheme, Double-Timestamp Transaction-Level Synchronization model is put forward to solve the synchronization problem under the 3-tier replication architecture (Mobile Client - Synchronization Server - Database Server). DTSTLS utilizes a novel double-timestamp strategy to promote the efficiency of synchronization. Besides, it ensures serializability and consistency of the mobile database system through transaction-level conflict reconciliation.Mobile transaction processing is another key technology to provide efficient information service in mobile computing environment.

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It is shown that finally this problem turns to the estimation of the real joint eigenvalues of three real matrices and solve the joint eigenvalue estimation by a recently proposed simultaneous diagonalization algorithm.

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At present,this apparatus is used mainly for the examination of the perfectness of convergent spherical wave surface with aperture angle≤1:3,hence it can be used for the non-contact direct test of aluminized or unaluminized concave mirrors with any ...

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