Applied Mechanics and Materials Vols. 380-384

Abstract: The mechanism of logging signals generating was researched. In the same time, correlation dimension, largest Lyapunov exponent and approximate entropy of chaotic characteristics were extracted. On this basis, chaotic characteristic parameters were applied in processing, analysis and interpretation, try to find chaotic characteristics of different of reservoirs for example oil, water layer and the dry layer. The results showed that chaos characteristics in different reservoir is different, therefore, we can distinguish the different natures of reservoirs by extracting chaos characteristics.

Abstract: On digital image steganography, the traditional LSB method usually makes the histograms change relatively large after the image steganography; therefore,the hidden information can be detected easily. This paper puts forward a new method based on the nonlinear optimization to determine the best LSB steganography technology of histogram detecting. It can make the histograms total change to be smaller and difficulter to be detected.

Abstract: Changes of physiological signals are affected by human emotions, but also the emotional fluctuations are reflected by the body's variation of physiological signal's feature. Physiological signal is a non-linear signal ,nonlinear dynamics and biomedical engineering ,which based on chaos theory, providing us a new method for studying on the parameters of these complex physiological signals which can hardly described by the classical theory. This paper shows physiological emotion signal recognition system based on the chaotic characteristics, and than describes some current applications of chaotic characteristics for multiple physiological signals on emotional recognition.

Abstract: Source camera detecting, which is about establishing whether or not the images of interest are taken by the same camera, is a challenging problem. Most CFA(color filter array) interpolation algorithm characterize the feature of camera which take the image. In this paper, we propose an improved algorithm. Instead of using inter-channel demosaicking/color interpolation traces, we first extract four in-and-inter-channel variance maps, respectively, and then extract the shape, similarity and difference features of maps for camera model identification. The experimental results show that the method had significantly improved the accuracy rate of source digital image identification.

Abstract: In order to satisfy the transmission of mass data volume of on-board time delay integration charge coupled devices (TDICCD) image, a high speed image transmission system of space panchromatic TDICCD camera with a large field of view is designed in this paper. A 4-channel parallel high speed transmission system for 16-channel CCD image was designed. A high speed serializer TLK2711 is applied to send and receive multi channel TDICCD images. A single chip TLK2711 can processing 4 channels image. Experimental results show that the designed transmission system can reliably work. The designed transmission system can meet the application for space TDICCD camera with a large field of view.

Abstract: This paper conducts a comprehensive research and discussion on the relevant technologies and manifold learning.Traditional MFCC phonetic feature will lead a slower learning speed on account of it has high dimension and is large in data quantities. In order to solve this problem, we introduce a manifold learning, putting forward two new extraction methods of MFCC-Manifold phonetic feature. We can reduce dimensions by making use of ISOMAP algorithm which bases on the classical MDS (Multidimensional scaling). Introducing geodesic distance to replace the original European distance data will make twenty-four dimensional data, which using the traditional MFCC feature extraction down to ten dimensional data.

Abstract: To solve the communication problems in Command Information System, we introduced the Unified Communication technology which is developing rapidly in recent years, and analysised the feasibility of using this technology. We put forward a Unified Communication platform application model and made a preliminary study of its hierarchy and implementation.

Abstract: In this paper, the image analysis process, based on the characteristics of color images, were used histogram equalization, homomorphism filtering, Retinex multistage optimization and Zadeh-X transform for image processing, the use of simulation experiments, compared several methods in the image enhancement application, experimental results are presented and compared using several methods of objective evaluation.

Abstract: According to the error character of the systematic error and random error in calibration data, we put forward using wavelet analysis method to the process of separating error. We give the basic principle and method to dispose random error with Wavelet Analysis. When choosing the threshold, we use GCV(Generalized Cross Validation) principle. Then use IA to search the best value of GCV function and realize the separation simulation of random error in the MATLAB. During the selection operation of IA(Immune Algorithm), the expecting propagation probability is computed in order to guarantee the diversity of the colony and the robustness of algorithm. The results of simulation show that the combination of Wavelet Transform and IA can achieve the aim of separation and have some application prospect in this field.

Abstract: Aiming at the absorption effect of fog suspended in the atmosphere on light, the paper established the removing-fog compensation adaptive model which can improve the atmospheric visibility and restore the normal work of outdoor system. The experimental results show that the removing fog image processed by the method of removing-fog compensation optimization can accord with the requirement of human visual, and it can be used in real-time video monitoring as the fast computing speed. The method not only can be used in foggy video which the fog distributed uniformly, and can assess the visual quality for the images processed.