Applied Mechanics and Materials Vols. 58-60

Paper Title Page

Abstract: In the demand of compounding transmission with SD and HD programs, based on analyzing two kind of multiplexing models’ characteristic with monopolizing buffer and sharing buffer, it proposes a kind of highly effective multiplexing strategy for multi-channel MPEG-2/AVS real-time stream. As is indicated by theoretical derivation and simulated result, this strategy can multiplex the greatest data quantity, without transmitting loss and with the least resource, thus is more advantageous in raising channel utilization.
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Abstract: In the facial expression recognition, a dimension disaster will arise when taking the coefficient of Gabor transforms as the expression eigenvectors. To avoid this issue we draw grids on facial region, making the mean coefficient value of Gabor transforms of each gird as the eigenvectors. Furthermore we classify the expression by constructing the multi-class C-SVC, improved the accuracy and speed of the algorithm by dropping the redundant features using sequential backward selection. The experimental result proves the superiority of the algorithm we proposed to other algorithms.
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Abstract: Through testing the Munsell color index and the static fabric pressure of the tight pants, the paper has established eight related model with the method of the stepwise regression analysis. The result shows that (a) The static garment pressure of the stretch knitted pants can be predicted with stepwise regression models which are using the Munsell color index and fabric specifications as input parameters, and prediction models have the high adjusted correlation coefficients, and have smaller errors between predicted values and measured values. (b) The static garment pressure of the stretch knitted pants has some relationship with dynamic surface wetness of fabrics. (c)The relationship between the static garment pressure of the stretch knitted pants and the weft density is not obvious.
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Abstract: To address the problem of wireless communication system existing blind spots in mine tunnels, this paper proposes a novel mine mobile communication systems without blind zones, based on Ethernet Passive Optical Network (EPON) and Radio on Fiber (RoF) technologies, which adopts WiFi, WiMAX and other wireless interface, as well as leaky antenna and distributed antenna. The key technical elements for designing the mine mobile communication system are clarified, and the system components and the dual-bus-shaped network structure are presented. Also, the operating principle and the features of the system are analyzed. In addition, the trend of the technology related to the future mine mobile communication system is presented.
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Abstract: The spatial relations usually consist of topological, directional and measurement relations. It is not accurate to using single spatial relation to describe spatial scene. Double projections and interior-division matrix model in 3D space is proposed by dividing the reference object within interior rectangle box. The expression of direction relations is combined with interior, boundary and exterior direction relations. 11 transforming rules are proposed by the constraint between directional and topological relationships. Finally, the model is evaluated by Roop K.Goyal’s five required properties and the result shows the satisfaction.
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Abstract: A novel noninvasive approach to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted, with the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a vibration transducer installed by outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform (WPT) with mother wavelet db7. A probabilistic neural network (PNN) classifier with the extracted features as inputs was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy arrives at above 92.1%. The noninvasive measurement approach has great application prospect in online flow regime identification.
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Abstract: Based on the analysis of traditional maintenance mode, such as breakdown maintenance, preventive maintenance and predictive maintenance, lean maintenance strategy is disscussed according to it. To developed the equipment lean maintenance, a lean maitenance method is provided based on real-time data acquisition. The method benefites from the information integrated frame of manufacturing execution system, by which the real-time data of equipment is got. Based on the real-time data, the principle of status data trigger is discussed in detail, and the dynamic maintenance plan is given on the basis of maintenance rules automatically. Finally, maintenance planning system is developed by the way of system design, including business flow design, function design and principle design.
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Abstract: Texture feature of texture image is described by image energy. Wavelet transform is studied for image retrieval based on the texture image energy distributed in different components. An ensemble retrieval method is proposed, based on multiple methods fusion due to certain limitation of a single method. To improve the image retrieval accuracy, the main information of the image is highlighted by increasing the weight of the intermediate part. It proves that the method proposed in this paper and based on wavelet transform for texture image in ensemble retrieval has better retrieval effect.
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Abstract: The security of many emerging applications is based on broadcast encryption scheme, for example teleconference, pay-TV, etc. This Paper detailed analyzes the scenario of Cable TV, comprehensively studies the mostly all proposed broadcast encryption schemes. Finally we improved and enhanced the main broadcast encryption schemes so that they can be adapted by Cable TV.
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Abstract: A novel method combing feature constraint with multilevel strategy to improve simultaneously the registration accuracy and speed is proposed for non-parametric image registrations. To images between which the local difference is large, integrating feature constraint constructed with local structure information of images into objective function of image registration improves the registration accuracy. When applying feature constraint under multilevel strategy, parameter searching is prevented from entrapped into local extremum by using the optimization result on coarser levels as the starting points on finer levels; meanwhile traditional optimization methods without demanding intelligent optimization algorithms which consume more time can find the accurate registration parameter on finer levels, so registration speed is improved. Experimental results indicate that this method can finish fast and accurate registration for images between which there exists large local difference.
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