Applied Mechanics and Materials Vols. 701-702

Abstract: We present a parallel solution based on CUDA for accelerating the computation for solving large-scale Finite Element equations in electrical and magnetic field. JCG is used for solving equations and corresponding kernel function is designed for spMV. A computation speed test for solving FE equations is taken on NVIDIA Tesla K20c GPU hardware platform, the result proves that the method of kernel can reach 17.1 times faster than the solution using CPU, however it cannot ensure the advantage with CPU if we only use the lib functions on GPU to solve equations.

Abstract: RNA interference (RNAi) is a mechanism for sequence-specific, post-transcriptional down-regulation of gene expression. The success of RNAi gene silencing depends on siRNA feature design. The shortcoming of previously reported methods which design siRNA sequences based on limited rules is that they are difficult to accurately predict the efficacy that a candidate siRNA sequence will silence the target gene. With validated siRNA databases have been developed in recent years, machine learning methods can be applied to predict siRNA accuracy and optimize design. This paper proposed a combined prediction method of BP neural network and support vector machine (SVM) for selecting effective siRNA sequences. With SVM, siRNA sequences were classified into effective or ineffective siRNAs. Subsequently, BP neural network model with great learning ability selected highly effective candidate sequences from effective siRNAs. We applied this method to published siRNAs datasets, and the experimental results confirmed good prediction capability.

Abstract: In this paper, an algorithm concerning the primitive action affordances of learning nuclear power plant maintenance robot is presented. The algorithm generates a random matching data set through a new matching method, which is utilized for the selection of object operation, with the matching rate improved by trial and error, and then the attempt number for a successful operation is reduced. In the end, simulation is conducted to verify the feasibility and correctness of the proposed algorithm.

Abstract: This paper is study on the two-dimensional simulation of the machining process, and three-dimensional simulation. Analog three-axis CNC milling machining entity, it will be processed rough triangular facets discrete and discrete vector geometry and tool scans the body to do intersection algorithm to simulate the tool cutting process by continually updating the blank data to achieve material simulation removal process.

Abstract: With the development of the society, the power system flow calculation becomes more important. Another new method for the polar coordinates Newton Raphson power flow calculation was proposed according to the power system operating characteristics. This research eliminated the vacant of the Jacobian matrix completely, reduced the amount of computer memory requirements greatly and also canceled the inversion completely.

Abstract: To reduce the test time and test cost of 3-D ICs, this paper proposed a design method of building three-dimensional scan tree, which can optimize the number of through silicon via (TSV) when limit the leaf nodes number. The proposed technique partitioned compatible groups in every layer based on test vectors, and listed requirements for building three-dimensional scan tree, which should be translated to integral linear programming model. Integer linear programming tool sort compatible groups order to build three-dimensional scan tree with minimum number of TSV. Experimental results indicate the proposed method can effectively reduce the number of TSV compared to the existing method under the condition of the same leaf nodes number.

Abstract: Due to the lack of effective modeling and analysis methods for testability of complex electronic system, a testability index model is established to resolve this problem. First of all, the existing testability demonstration test and evaluation method are analyzed. On this basis, testability indexes statistical models based on the binomial distribution, or Beta distribution and F distribution are established. What’s more, the relationship and principle between the fault detection or isolation data and the confidence level are analyzed in these models. Finally, the result of simulation shows that these models are practical and effective, which provides a new way of effectively analyzing and evaluating testability indexes of complex electronic system.

Abstract: The design process of hydraulic pipe system has lots of contents. In order to make it logical, clear and conform to modern design principle, the IDEF0 method is proposed to analyze and design hydraulic pipe system. In the macro, it uses top-down, hierarchical approach to describe the whole system; clarifies the work, requirements and implement method of each stage. In the micro, details can be described. The whole and detailed design process of hydraulic pipe system can be obtained.

Abstract: Basing on governing Maxwell and energy equation of rail gun considering armature movement in two dimension, The total domain to be solved is divided into two subdomains: moving (armature) part and static (rail) part, finite element formulations of two subdomains are built independently, then using the interface condition of two subdomains, formulations are connected by coupled equation which is derived out by penalty method. Shifted physical quantity is used to simulate movement. The final magnetic-thermal coupled fields finite element formulations of rail gun are established by these methods. Numerical calculation results compared by theoretical and other numerical results verify that penalty method is an effective way to deal with electric sliding contact problem associating with Shifted physical quantity method.

Abstract: Image segmentation is the technique and the process to separate the image into regions which have different characteristics and extract the interested objects from the image. Meanwhile, image segmentation is a vital important issue in many fields such as image processing, pattern recognition and artificial intelligence and it has wide application in various fields. This paper performs a great deal of contrastive analysis experiments on a series of images by using improved meanshift software and Edison software. The results show that improved meanshift software is easier to segment clearly than Edison in terms of similar color; the improved meanshift software segmentation is smoother than Edison in image shadow, the segmentation results hold favorable consistency in terms of human perception; the improved meanshift software segmentation is clearer than Edison in texture segmentation such as vegetation. The improved meanshift software has a better effect on the segmentation of boundary, road, etc. Both of them can remove the noise points effectively, but improved meanshift software is more sensitive to brightness; while the Edison software has a faster speed compared to the improved meanshift software.