Applied Mechanics and Materials Vols. 58-60

Abstract: Frame theory has been the focus of active research for twenty years, both in theory and applications. In this work, the notion of orthogonal vector-valued binary small-wave wraps, which is a generalization of uni-wavelet packets, is introduced. A procedure for constructing them is presented. Their orthogonality traits are investigated by using time-frequency analysis method, matrix theory and finite group theory. Orthogonality formulas concerning these binary small-wave wraps are established. Orthonormal wavelet packet bases are obtained. The pyramid decomposition scheme is obtained based on such a GMS and a sufficient condition for its existence is provided.

Abstract: Precise extraction of facial feature points is fundamental to a variety of applications including face processing and human-machine interface. In this paper, a novel method of extracting facial feature points for profile faces is presented. This program is mainly based on a 3D rotation model of head and Active Shape Model (ASM). First we transform a profile face to a corresponding frontal face. Then, we implement the ASM program on the frontal face image. According to the relation between the profile face and frontal face, the final position of feature points on the profile face is obtained. We take limited facial feature points to do experiments and results show this kind of method is pretty effective.

Abstract: GDP and industrial investment funds-added are two major factors of measuring economic development for certain countries or regions. In this paper, we use gross domestic product and industrial investment funds as original data from Qinghai Province (2005-2009), and design an improved GM (1, 1) model which is based on the traditional Gray System to analyze and forecast the overall economic growth of Qinghai Province. The improved GM (1, 1) model not only maintains the advantages of simple calculation method, but also greatly improves the traditional GM (1, 1) model to make prediction more accuracy. The experimental results show that this method using improved GM (1, 1) model is high prediction accuracy in forecasting economic growth of Qinghai province. This method is very practical, and it can provide reliable scientific basis for local government to make right directions behind economic growth and industrial development in that region.

Abstract: This paper proposes a XML-based power heterogeneous data integrating framework. The tool uses XML to describe and model the objects of power system in a similar way with rational database. It helps transform the heterogeneous data belonging to different power organizations to the data with uniform format stored as XML files. The tool can enable the heterogeneous data integrating and exchanging of power system. Thus various distributed application can be developed base on this framework. The practical application proved the efficiency of proposed framework.

Abstract: By research of simple tubular joints, thin-shell element analyses have been conducted for thousands of DTK joints frequently used in offshore structures in this paper. These joints are subjected to axial load, by use of nonlinear least squares fitter, the above results are derived a new set of parametric equations, in terms of several non-dimensional geometric ratios γ, ξ, β, τ and θ with the Origin software. Separate analyses have been conducted for the difference of SCFs in DTK joints and SCFs for TK joint from empirical formulas. The SCF results of these joints could act as a good reference for both further academic studies on SCF of other complex joints and engineering designing works.

Abstract: H.264/AVC standard uses rate-distortion optimization framework with heavy calculation and full search algorithm to select the best mode of each macroblock. Besides, 8×8 luma block prediction is added to high profile, which makes the search algorithm process more complicated. In order to reduce the amount of calculation, a filter method based on image texture feature and image complexity is adopted in this paper. Experiment results show that the new algorithm achieves an average saving of 43%-57% in encoding time ,with negligible effect on bitrate and PSNR.

Abstract: In this paper, software Inet 3.0 is applied to generate topology, which randomly generates dynamic topology nodes. Based on dynamic shortest path algorithms put forward by P.Narvaez, Xiaobin et al, we analyzed the time efficiency of dynamic and static shortest path algorithms, the different time efficiency inner dynamic shortest path algorithms, and the relationship of time efficiency between topology and dynamic shortest path algorithms. The result shows that Xiaobin algorithm is statistically better than Narvaez algorithm about 20-30 percent. Dynamic algorithms are not always better than static algorithms considering the amount of changed topology. Dynamic and static algorithms are roughly same when the amount of changed topology holds 10 percent. Dynamic algorithms perform better when less than 10 percent, otherwise static algorithms will be better. The time efficiency of dynamic algorithms is related to special topology.

Abstract: Based on the characteristics of the highway design, this paper transfers all the factors involved in the highway design to a cost-optimized-oriented model and designs a variety parallel genetic algorithm to optimize highway design. While maintaining evolution stability of excellent individual, the algorithm can improve convergence rate and accuracy and avoid premature convergence generated by single-population evolution. To some extent, it makes up generalization-lacking defects of a single species or steady parameters in premature overcoming. Finally, the algorithm is verified with a good result. This algorithm provides a useful method for highway design.

Abstract: Regarding application with smooth variation of detection, spatial correlation of sensors’ data within a small field was applied to sensor nodes’ fault diagnosis. The data were sorted into several continuous sequences by sink node. Sequence with minimum variance was regarded as normal data to determine normal nodes. For undetermined nodes, it can be determined via calculation on deviation to normal nodes’ data of vicinity area. If deviation does not exceed the threshold, the node is normal; otherwise, it is regarded as a fault node. The research on WSN in a greenhouse shows that fault node can be effectively detected in time by this method.

Abstract: A laundry detergent interval adding mode is proposed in this paper to deal with the case when the dirt is indissolvable by just adding once detergent in washing. The suggested mode is helpful to attain a better cleaning. Meanwhile, we established an optimization model for the water saving washing. Simulation shows that, when dissolving rate is high or cleaning effect requirement is low, cleaning effect of two patterns varies slightly. When dissolving rate is low while cleaning effect requirement is high, the traditional mode cannot achieve the target properly. However, if interval adding detergent pattern is applied the effect improvement will be obviously.