Applied Mechanics and Materials Vols. 543-547

Abstract: In this paper, a novel Radio-over-Fiber scheme to simultaneously generate and transmit baseband (BB) and millimeter-wave (MMW) signal by using a single dual-electrode MZM is proposed. By employing this analog ROF signal transmission techniques, highly transparent fiber-wireless networks, which are ideal for multi-standard wireless system operation can be realized.

Abstract: In this paper, we make use of the integral method which is commonly used in partial differential equations to get the difference scheme on five points, and then construct an anisotropic diffusion model based on the partial differential equation. The numerical experimental results show the diffusion model can effectively magnify the image, and can keep the edge character and details of the image. It is proved that the numerical computational method proposed for solving the model is very effective.

Abstract: A color image watermarking scheme using the chaotic properties of 2D tent map and Chebyshev map is proposed. Given control parameters and initial values, one can iterate the 2D tent map to get one chaotic sequence and obtain one permutation by sorting the chaotic sequence in ascending order. The permutation is then utilized to shuffle the blue channel components of color image as a preprocessing stage to enhance the security, imperceptibility and robustness of watermarking. Meanwhile, one can iterate the Chebyshev map to generate another chaotic sequence to determine the embedding bit positions and strengthen the security as well. Experiment results show that the watermarking scheme is secure with large key space, imperceptible and robust against cropping, noise attacks.

Abstract: Coal rock boundary recognition is one of the core techniques to realize the automation of the fully mechanized coal face, however, this kind of technique has not been effectively resolved. We put forward a kind of coal-rock boundary recognition method based on the modal analysis, and through the theory analysis, we put forward the key parameters and recognition method for the coal rock boundary recognition. By using this method weve analyzed the vibration data from underground working face. The analyzing result indicates that this method could efficiently recognize the coal-rock boundary, which has provided a new and easily realizable method for coal-rock boundary recognition problem.

Abstract: Based on transmission model 6S, this paper uses the moderate resolution imaging spectroradiometer (MODIS) data combined with a new aerosol business inversion algorithm, V5.2 of NASA ,to retrieve the atmospheric aerosols optical depth. We take MODIS data in Shandong province as the research data, select 8 groups of MODIS LIB data set combined with Sunny weather (Sunny and cloudless or thin cloud) and AERONET release detection date (NASA release the date of detection value), and validate the retrieved results with the aerosol optical depth (AOD) of the solar luminosity observations erected by AERONET. The results show that the V5.2 inversion algorithm results and observations presented the same change trend. The retrieved results are nearly close to observed value, and the V5.2 inversion algorithm has better application in aerosol optical thickness retrieval.

Abstract: In order to accurately extract various types of industrial solid wastes from high resolution RS images, a industrial solid wastes feature fast extraction algorithm was proposed based on SVM. The reasonable image pretreatment was conducted by anisotropic diffusion filtering firstly. It is because that high resolution RS image contains abundant information and industrial solid wastes heap was very complex, we proposed the classification algorithm based on 1-v-1 which could extract multi-class industrial solid wastes fast and accurately at once. The new algorithm improved both efficiency and accuracy of industrial solid wastes recognition. The experimental results show that the industrial solid wastes feature recognition of SVM has better advantages than conventional methods. The new algorithm can recognize not only shape features of industrial solid wastes heap but also its material and type and it is constructed to recognize multi-class industrial solid wastes with higher operation efficiency.

Abstract: For suppressing multiple access interference (MAI) in a CDMA communication system, complementary sequence sets are employed as spreading sequences in such system. In this paper, we present a method for constructing a family of quaternary periodic complementary sequence sets, which arises from the conversion of the existing binary periodic complementary sequence sets with odd period of sub-sequences. The period of sub-sequences in the proposed sequence sets is twice as long as the one of the binary sequence sets employed, which is a drawback in the proposed method. Finally, some examples are given in order to illuminate the validity of the new method.

Abstract: In Recent years, with the rapid development of facial expression recognition technology, processing and classification of facial expression recognition has become a hotspot in application studies of remote sensing. Rough set theory (RS) and SVM have unique advantages in information processing and classification. This paper applies RS-SVM to facial expression recognition, briefly introduce the concepts of RS and principle of SVM, attributes reduction in RS theory as preposing system to get rid of redundancy attributes. Meanwhile, the SVM classifier works as postposing system helps training and classifying the facial expression recognition. Experimental results indicate this model not only raise the operating speed, but also improve classification performance, providing a new effective way in facial expression recognition technology.

Abstract: Among various pattern recognition methods used for liquid identification, the method based on neural network has the advantages of robustness and fault tolerance, which can study and adapt to the uncertain system. The waveform analysis is exploited for feature extraction of the liquid droplet fingerprint (LDF) in this paper, and the liquid identification is carried out by means of BP and RBF neural network. The experimental results proved that the recognition rate is excellent in both of these two methods. In condition that the training data is limited, RBF network is better than BP network in recognition speed and rate.

Abstract: Isolated-word speech-recognition system adopted the shortest distance of Dynamic Time Warping (DTW) to make recognition judgment, which has the disadvantage of high False Accept Rate (FAR), poor anti-noise and robustness. This paper proposes a new method based on DTW distance Threshold Estimation for recognition judgment. This method processes the maximum distance between template speech and training input speech multiplying adjusting coefficient, then plus noise DTW distance, which regard the final result as distance Threshold Estimation. At the time of doing speech recognition, if the distance between testing speech and template speech exceeds the Threshold Estimation, then the system will not recognize this speech. The experiment shows that this method can greatly improve the anti-noise and robustness performance of the Isolated-word speech-recognition system and solve the problem of high FAR.