Advanced Materials Research Vols. 989-994

Abstract: The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.

Abstract: This paper designed the evaluation method and the index system. Through simulating behavior of pedestrian with mobile intelligent Bluetooth devices in the real city scene and did a quantitative analysis about the effects of flooding attacks to opportunity network in the three aspects of transmission capacity, transmission efficiency and energy consumption of nodes , in order to evaluate Direct Delivery, Spray and Wait and MaxProp the three opportunity network routing algorithm’s robustness under the flooding attack results showed that Direct Deliven algorithm robustness is best, it can withstand flooding attacks completely, robustness of the Spray and Wait algorithm is the worst, their performance will decline more than 80% in some scenarios, the performance of MaxProp algorithm under flood attacks will decrease remarkably.

Abstract: Currently, there is an urgent need for indoor positioning technology. Considering the complexity of indoor environment, this paper proposes a new positioning algorithm (N-CHAN) via the analysis of the error of arrival time positioning (TOA) and the channels of S-V model. It overcomes an obvious shortcoming that the accuracy of traditional CHAN algorithm effected by no-line-of-sight (NLOS). Finally, though MATLAB software simulation, we prove that N-CHAN’s superior performance in NLOS in the S-V channel model, which has a positioning accuracy of centimeter-level and can effectively eliminate the influence of NLOS error on positioning accuracy. Moreover, the N-CHAN can effectively improve the positioning accuracy of the system, especially in the conditions of larger NLOS error.

Abstract: In this article we achieve SDH communication network correlation analysis by the confidence fusion algorithm. We take the effect of the alarm topology relationship on the alarm timing relationship into the calculation process of confidence fusion algorithm .Thus it can get alarm correlation results more in line with objective facts. According to the correlation calculation results it forms the alarm correlation transactions, then applying the alarm correlation transactions to the alarm association rules mining. We compare the mining results with the traditional method based on sliding window. The experimental results show that the mining results are more effective after introducing the confidence fusion algorithm.

Abstract: For a more accurate prediction of the probability of consumers to purchase a commodity, this paper build a users’ behavior model based on correlation analysis with apriori algorithm. The model is built by learning from users’ history data and behaviors’ at present, an experimental result demonstrates that this model can effectively predict consumer buying behavior, and it is better than some traditional methods.

Abstract: Aiming to resolve the problems of the traditional k-means clustering algorithm such as random selecting of initial clustering centers,the low efficiency of clustering,low in the real,this paper proposed a novel k-means clustering algorithm method based on shuffled frog leaping algorithm.This algorithm combined the advantages of k-means algorithm and shunffled forg leaping algorithm.A chaotic local search was introduced to improve the quality of the initial individual,a new searching strategy was presented to update frog position,that increased the optimization ability of algorithm.According to the variation of the frog’s finess variance used k-means algorithm,it has the advantages in the global search ability and convergence speed.The experimental results show that this algorithm has higher accuracy..

Abstract: The super-resolution reconstruction technology is proposed in this paper to overcome the image degradation of shipboard optical detection system. Firstly, establish the super-resolution observation model, then analysis the inadequate of traditional regularized method through the modulation transfer function and proposed a modified regularized algorithm, experimental results shows that the proposed method has the better visual effect and objective indicators. It is a feasible method to enhance reconstruction quality of the system.

Abstract: The surge wave induced by the landslide on reservoir bank is extremely disaster .The prediction of surge height is a difficult problem because the velocity of landslide is hard to obtain. The discontinuous deformation analysis (DDA) is able to simulate landslide movement with real time and acceleration. The whole movement process of Muzhuping landslide in the Qing river reservoir is simulated by DDA method, including startup, accelerating, deceleration and stop, and velocity along time is obtained. Last, empirical formula for computing surge height is discussed.

Abstract: Because of the complexity of the progress of dynamic stall, the characteristic of dynamic stall of airfoil is always the difficulty of aerodynamics. A time-domain model has been formulated to represent the unsteady lift and pitching moment characteristics of a two-dimensional airfoil undergoing attached-flow conditions in a compressible flow and dynamic stall. The model is given as a set of first order differential state equations. The Beddoes-Leishman model was presented through modeling the effects of attached flow, separated flow and dynamic stall in the paper. A modified method is presented which includes a new stall-onset criterion and improves the position and separation conditions of the leading edge vortex, so that the B-L model is adaptive for lower Mach numbers. Then, the normal force and pitching moment on NACA0012 airfoil was calculated and compared with available experimental data to validate the reliability of the model.

Abstract: This paper investigated a new type of gas distributor with two chambers by CFD software. The distributor has a natural gas inlet and nine nozzle outlets. For the investigation of this project, the mass flow rate of the distributor was analyzed in this paper to provide a way to optimize the structure of distributor. The N-S equations approached with the RNG k-ε turbulence model and the discretization were employed second order upwind. The simulation results will provide a number of useful suggestions and references for the further design.