Applied Mechanics and Materials Vols. 556-562

Abstract: With the emergence of a large number of XML data, proposed the new challenge to data mining field. Traditional data mining is based on the relational database and data warehouse, how to dig out in the form of XML data becomes a hot research issue. Due to the XML document is a kind of semi-structured data, using the traditional data mining methods for mining of XML data is not applicable. Puts forward a XML mining model based on rough set theory, and has carried on the experiment, the results show that using rough set theory to XML data mining is feasible.

Abstract: For large-scale object or scene which needs high requirements of deformation detection, a comprehensive deformation analysis method is proposed based on the time-varying point cloud to perform continuous detection, to comprehensively analyze the deformation and to research its characteristics and rules. In order to improve computing efficiency, a BSP parallel algorithm based on deformation analysis of time-varying point cloud is designed according to BSP parallel computing technology, and the deformational data are handled by a HAMA computing cluster which is composed of common personal computers. Several computing results from both simulations and real cases have proved the feasibility and effectiveness of analyzing method and BSP analyzing algorithm of deformation of time-varying point cloud.

Abstract: Symbolic representation of time series has recently attracted a lot of research interest. This is a difficult problem because of the high dimensionality of the data, particularly when the length of the time series becomes longer. In this paper, we introduce a new symbolic representation based on fast segmentation, called the trend feature symbols approximation (TFSA). The experimental results show that compared to some method, the segmentation efficiency of TFSA is improved.

Abstract: In the process of satellite monitoring and control management, a lot of satellite telemetry data were generated and stored at a form of time series in the database. Time series similarity measure is the basis of these technologies, and improving its algorithm can greatly promote the efficiency of anomaly detecting. This paper presents a parallel scheme for fast similarity search based on DTW, called MRDTW, in large satellite time series. By experiment evaluation, we show our approach retained the original accuracy as DTW, and the efficiency of similarity measure has been greatly improved in large time series.

Abstract: In this paper, building a systematic equation of mathematical model and dynamic variation based on the movement of object falling into water based on the breach parabolic by virtue of the combined means of boundary layer theory and differential equation with the help of computer simulation, this paper further illustrates the features of physical characteristics and its dynamic movement process, which provides a sort of accurate and credible analytical thinking for the similar engineering calculation.

Abstract: This paper presents a security of an attachable blind signature by Yeh et al. An eavesdropper is able to construct the attaches message m’ from an intercepted blind document. Consequently, attachable blind signature is breakable and cannot protect privacy.

Abstract: By introducing the concept of weights in NURBS curve into a blending technique,the paper extends the representation of the T-Bezier curve.The generalized T-Bezier curve is denoted as α Extension T-Bezier curve,whose shape-control capability is shown to be much better than that of T-Bezier curve.The representation and properties of the extension curve is studied.The curve is easy and intuitive to reshape by varying the parameters;so it is useful in some applications of CAD/CAM .

Abstract: In view of the existing problems of traditional defogging algorithms,such as color distortion and halo phenomenon in MSR algorithm (multi-scale Retinex) , we improve it by using adaptive filter and different weighting factor.In other word,when gray levels of pixels within a certain threshold, use homomorphic filtering; otherwise use different state filtering device. Experiments shown that image details are enhanced, and contrast is enhanced, visual effect is improved.

Abstract: A motion perception model based on the relative phase is proposed in this paper. Firstly we use bilinear representation based on DTCW to derive the phase information on each subband for image series. The relationship between phase shift and edge position is theoretically proved and the distribution of relative phase is carefully explored. Numerical experiments show that the distribution of relative phase may make up the limitations of phases in providing motion information. The new proposed model is quite robust to changing contrast, complex edges and severe noise.

Abstract: Watershed distributed eco-hydrological model is an important tool in the field of global change research. Due to the complexity of eco-hydrological model, watershed distributed eco-hydrological simulation requires large amounts of computations. The compution overhead turns to be a big prolem for those basin areas. Another challenge is that the traditional sequential computation techniques cannot meet the requirements of watershed eco-hydrological model, which highly limits the application of watershed distributed eco-hydrological model in large scale areas. This paper proposed a dynamic task-scheduling based parallel processing method for eco-hydrological model. The whole simulation task are firstly decoupled into independent grid based parallel processing tasks based on the relation of upstream and downstream sequence. Then a dynamic task-tree was built up according to the dependency of each cell in the watershed, which can generate dynamic task scheduling sequence. Following the task scheduling sequence, PBS task scheduler submitted workloads, realizing parallel calculation. This approach was applied in the watershed of Walnut Gulch watershed in Arizona, USA. The result showed that this method can highly improves the efficiency of watershed eco-hydrological modeling almost 6 times compared to that of the traditional sequential eco-hydrological modeling. Therefore, this approach can effectively promote the applications of watershed eco-hydrological model.