Applied Mechanics and Materials Vols. 40-41

Abstract: Removed due to plagiarism.

Abstract: Fault symptom of a type of ammunition’s flight control system shows fuzzy, and there is no intelligent fault diagnosis method for this control system fault diagnosis. This paper studies on intelligent fault diagnosis of terminally guide projectile based on fuzzy theory. The procedure of fuzzy fault diagnosis is shown. Combining with the practical situation of a type of ammunition’s flight control system and a large quantity of expert’ experience knowledge, the fuzzy diagnosis model is established. After given fuzzy diagnosis matrix, fault diagnosis of a type of ammunition’s flight control system was done as example. It practicability and credibility is shown by fault diagnosis result, and application of fuzzy theory in diagnosing the fault of a type of ammunition’s flight control system is proved valid. Two piece of proposal is proposed after analyzing the function parameter changing of this control system stored in storehouse longtime.

Abstract: The Inverse Synthetic Aperture Radar (ISAR) is a high resolution imaging radar. Some methods used to evaluate the jamming effect of general radar are unsuitable to ISAR. Considering the principle of radar jamming and the theory of image disposal, the paper gives a new evaluation method of barrage jamming effect on ISAR, it evaluates the jamming effect through calculating the difference of two picture’s Moment Invariants, and this method can reflect distortion degree of the jammed target during the whole jamming process. The results of simulation prove the method is corrective and effective.

Abstract: This Security Gate is thought to be of great importance to aviation safety. Verification need to be done to make sure of quality of security gate. In order to do verification well, specific sampling size need to be determined first. So how to select proper sampling size is supposed to be significant. According to central limit theorem this problem is solved in this paper.

Abstract: A precise integration algorithm for solving the restricted three body problem was put forward based on precise integration method, which divided a large integration time into small intervals and only small value matrix participates in the iterative process during the computation of the exponent matrix. And another symplectic algorithm for solving non-separable Hamiltonian system constructed by flow complex was also introduced, which only had periodic variational energy. The results of both algorithms were compared with fourth Runge-Kutta algorithm and their performances and advantages were analyzed, showing the validities of these two algorithms.

Abstract: In this paper, a new method is proposed for image encryption by using Transformed Logistic map and Cat map. First, the Transformed logistic map is used to generating two coordinate sequences, and then the primary image's pixels shuffled by the two coordinate sequences. After shuffling, the key stream is produced by the Cat map to encrypt the shuffled image. Theoretical analysis and experimental results indicate that the proposed algorithm has a perfect encryption effect and can resist common attacks

Abstract: A nonlinear correlative time series prediction method is presented in this paper.It is based on the mutual information of time series and orthogonal polynomial basis neural network. Inputs of network are selected by mutual information, and orthogonal polynomial basis is used as active function.The network is trained by an error iterative learning algorithm.This proposed method for nonlinear time series is tested using two well known time series prediction problems:Gas furnace data time series and Mackey-Glass time series.

Abstract: With the rapid development of e-commerce in China, the trust problems in B2C e-commerce has become a hot issue. This paper introduces the concept of trust and analyzes the existing trust problems in e-commerce in China. And the corresponding countermeasures are proposed.

Abstract: Error Ellipse can’t correctly depict the distribution of random variables in non-normal distribution, so this paper presents the concept, theory and methods of Error Oblate. Error Oblate is the natural extension of Error Ellipse. It is widely applicable and carries great theoretical significance in data processing.

Abstract: Hurricane visualization is very import to the study of hurricane. In this paper, a particle based hurricane visualization method is introduced under distributed environments. By controlling the generation of the particles, only a few particles are used to expose the hurricane feature. A multi-resolution progressive transmission on network is adapted as the visualization module in the context of our distributed system.