Xi'an University of Science and Technology

About: Xi'an University of Science and Technology is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Coal & Coal mining. The organization has 10023 authors who have published 7317 publications receiving 51897 citations.

Research on key technology for SaaS

Abstract: Software as a Service is becoming a popular research field in software development for its feature of low costing entry, easy implementation and zero infrastructure. SaaS is a multi tenant model which is different from traditional software in user data security, software development and deployment. This paper firstly analyses SaaS architecture, secondly introduces key technology of SaaS system from user data security, configurability user application and maturity model. Finally, this paper gives the future research directions.

Nonlocal Weighted Robust Principal Component Analysis for Seismic Noise Attenuation

Abstract: Seismic data are usually contaminated by various noises. Noise suppression plays an important role in seismic processing. In this article, we propose a new denoising method based on the nonlocal weighted robust principal component analysis (RPCA). First, seismic data are divided into many patches and grouped based on the nonlocal similarity. For each group, then, we establish a similar block matrix and set up the objective function of the RPCA. Next, we introduce the iterative log-thresholding algorithm into the augmented Lagrangian method to solve the problem. Furthermore, varying weights are specified to different singular values when minimizing the objective function. Finally, aggregating all recovered matrices can obtain the denoised seismic data. The proposed method considers the nonlocal similarity and adaptively sets weights with local noise variance. It performs well also owing to the superiority of the iterative log-thresholding method. The presented method is assessed using a synthetic seismic section with several crossover events. We also apply this novel approach to a real seismic data, which shows good results. Comparison with other approaches reveals the effectiveness of the proposed approach.

Improved Dielectric Properties of Thermoplastic Polyurethane Elastomer Filled with Core-Shell Structured PDA@TiC Particles.

Abstract: Insulating interlayer between nanoparticles and polymer matrix is crucial for suppressing the dielectric loss of polymer composites. In this study, titanium carbide (TiC) particles were surface modified by polydopamine (PDA), and the obtained PDA@TiC powders were used to reinforce thermoplastic polyurethane (TPU). The results indicate that the PDA@TiC were homogenously dispersed in the matrix compared with the pristine TiC, and that the PDA@TiC/TPU composites show improved dielectric and mechanical properties, i.e., much lower dissipation factors and obviously enhanced dielectric breakdown strength, as well as higher tensile strength and elongation at break as compared to the raw TiC/TPU. The nanoscale PDA interlayer contributes to the dielectric and mechanical enhancements because it not only serves as an insulating shell that prevents TiC particles from direct contacting and suppresses the loss and leakage current to very low levels, but also enhances the interfacial interactions thereby leading to improved mechanical strength and toughness. The prepared flexible PDA@TiC/TPU with high permittivity but low loss will find potential applications in electronic and electrical applications.