Applied Mechanics and Materials Vols. 380-384

Abstract: The paper adopts bionic intelligent algorithm including particle swarm optimization and differential evolution algorithm combined with finite element method to optimize cable on the platform of ANSYS finite element soft. Parametric programming of a single-phase cable and a three-phase cable is accomplished to optimize the maximum electric field strength of cable insulation layer by using particle swarm optimization and differential evolution algorithm combined with finite element method, that provides enlightenment for optimizing high-voltage equipment in other aspects of electromagnetic field.

Abstract: The purpose of this paper is combined with the advantages of wavelet transform and FFT, using wavelet transform to change the signal decomposition, and the use of FFT and filter for the reconstructed signal to decompose the signal and extract the different frequency components. In processing, we find that there is frequency alias in sub-band reconstruction which is caused by Mallat algorithm. In this article, we offer a solution of this problem.

Abstract: The multi-objective distribution of multi-helicopter based on the feasibility matrix was proposed in this paper, which enhanced the effectiveness of aviation emergency rescue. The horizontal track planning of helicopters was put forward based on the morphology graphic process technology and heuristic A* search algorithm, which can obtain the feasible shortest flight path with the condition of safety separation.

Abstract: Optimization of adaptive traffic signal timing is one of the most complex problems in traffic control systems. In order to obtain control parameters of transit signal priority of the urban roads, a bi-objective optimization model for signal timing is established. The delay and stop times as the goal of optimization are calculated respectively. And the corresponding constraint condition is built. The method can optimize green splits and offset at the urban arterial road. A VISSIM simulation was developed to evaluate the performance of the proposed bi-objective optimization model. The results show that the optimizer can produce TSP timing plans that benefit the transit vehicles while minimizing the impact of TSP on the general vehicles.

Abstract: This paper presents a zero decomposition algorithm for reflexive difference and differential polynomial systems. The problem of negative exponent of difference operators in DD-polynomials is solved by means of generalized term order. Our algorithm would be used to decompose the zero set of a finitely generated reflexive DD-polynomial set into the union of zero sets of coherent chains.

Abstract: The paper gave a new association rules mining algorithm based on linked list at the traditional association rules mining algorithm which based on frequent item sets and always ignore the exception rules. The algorithm first scanned the database once and generated the association rules including frequent association rules and exception rules by uses the logical and set theory operations. After example analysis, the algorithm not only with high accuracy and low cost, but also can provide some reference data for exception knowledge mining by generate exception rules.

Abstract: GPU computing is the use of a graphics processing unit together with a CPU to accelerate large scale scientific and engineering applications, such as molecule simulation. The paper use NVIDIA Tesla C2050NVIDIA GTX580 and NAMD 2.9 simulates three differences molecule systems: Beta2,SET9 and Ubiquitin. We compared and analyzed the results of the simulations experiment, and come to conclusion that the difference molecule systems will get the difference speed accelerated. The computing times of four GPU is nearly half of the time used by one GPU; and this is especially in the case of macromolecules system. Furthermore, from the GPUs memory utilization rate, the larger the protein system is, the higher the memory use of the GPU is. The performance of NVIDIA GTX580 is only half of the NVIDIAC2050. NVIDIA Tesla C2050 is can satisfy an even larger system simulation.

Abstract: A new composite reservoir simulation model of lower computation cost was used to optimize hydraulic fracture length and fracture conductivity during performing a hydraulic fracturing. The simulation model is divided into inner part and outer part. The inner part is dual-porosity and dual-permeability system, and the other is single porosity system. The research shows that the natural fracture permeability and density are the most influential parameters; a relative long fracture with high hydraulic fracture conductivity is required for a high production rate due to non-Darcy flow effects. A shorter primary fracture is better in a gas reservoir of high natural density. The composite model represents the flow characteristic more accurately and provides the optimal design of fracturing treatments to obtain an economic gas production.

Abstract: For reflecting those behaviors in the simulation that pedestrians choose to wait, scrape or round after being trapped in local minimum, based on the static spatial potential field with big grid, dynamic potential field is obtained after adding in time-consumption potential field and waiting potential field. Time-consumption potential field replaces traditional pedestrian repulsive field and changes with grid space occupancy while waiting potential field has the attribution of attenuation and enhancement together. Simulation experiments are used to verify various selections that pedestrian make when they face different space occupancy. The result shows that this model is not only able to guarantee efficiency and accuracy, but also closer to real walking characteristics.

Abstract: Nonconvex nonsmooth potential functions have superior restoration performance for the images with neat boundaries. But the nondifferentiality could cause many numerical difficulties. Thus the graduated nonconvex (GNC) method is suggested to deal with these problems. In this paper, a class of nonconvex nonsmooth approximate potential functions have been constructed, which can help our get a better initial value of the original problem. The numerical results show the restored perfprmance of the proposed methods.