Applied Mechanics and Materials Vols. 263-266

Abstract: In this paper, a new Ant Colony Algorithm is firstly put forward based on the integration of planning recognition, pattern learning and the basic Ant Colony Algorithm. Then it is proved that the new algorithm can be effectively applied to TSP problem. That also provides new possibilities of using Ant Colony Algorithm to solve practical problems.

Abstract: we have realized network node of WSN localization algorithm through SA algorithm，and this paper puts forward a method.This method calculate network node and other relevant information through SA algorithm first and then use then as parameters to calculate again.The second calculation is Using BP neural network algorithm. The accuracy of the result has been multiplied compared with the method that does not use BP neural network algorithm

Abstract: At present the multi-stage transformation topology are more used in photovoltaic (PV) grid-connected system, although the control of this structure is relatively simple but the conversion efficiency is difficult to improve due to increase in transformation series. The single stage topology has a simple topology with high reliability and efficiency because of low power consumption, but control algorithm is more complex because of its power convert main circuit without DC-DC. This paper describes a method for maximum power point tracking (MPPT) in the single-stage and single-phase PV grid-connected system. In the paper, the nonlinear output characteristics of the PV including I-V & P-V are obtained in changed solar insulations or temperature based on MATLAB, and the MPPT algorithm which is based on the particle swarm optimization (PSO) method is also described. The simulation model of the single-stage and single-phase PV grid-connected system is built , and simulation results show the MPPT algorithm has excellent dynamic and static performances ,which verifies the PSO method is effective for MPPT in the single-stage and single-phase PV grid-connected system.

Abstract: Situation comprehension was introduced in this paper. And a new assist analyzing method based on the complex networks was presented. Through building a spatial situation network, some statistical properties were obtained and interpreted as possible situations. This research is an exploration of situation comprehension based on complex networks.

Abstract: In this paper, a new algorithm has been introduced to construct the membership function and non-membership function of uncertain reliability of a series system via non-linear programming techniques, which having components following different types of intuitionistic uncertain failure rates.

Abstract: A Mallat based wavelet de-noising algorithm in ECG analysis is studied. We use bior3.7 wavelet based on Mallat algorithm for ECG decomposition. Then we choose composite threshold and wavelet reconfiguration algorithm for signal de-noising to achieve an effective result. Data get from MIT/BIH is examined using the method. The result shows that it can not only remove the power frequency disturbance, EMG interference and baseline drift emerging in ECG, but also preserve the ECG characteristics.

Abstract: This paper expatiate the principle ,structure ,and the methods based on P2P resource searching technology by classifying the features，conclude and analyse present main developing directions and development state- Put forward a MRD algorithIT1 which is based on Distributed Hash Table(DHT), and conclude with efficiently searching probability of Networking resource searching by mathematic analysis alast.

Abstract: In the process of inertial alignment for an strapdowm inertial navigation system(SINS) on stationary base , the azimuth error’s poor observability leads to its long alignment time . In order to solve the problem,the paper considers inertial alignment as an optimizing process with the application of improved artificial fish swarm algorithm.Simulation results show that improved artificial fish swarm algorithm has rapidly,global and local optimizing characteristics.After applicating on SINS initial alignment,alignment accuracy is almost the same as the limited precision,however,the azimuth alignment times are greatly reduced.

Abstract: To quickly get the global optimum by genetic algorithm, calculated the average and standard deviation of the adaptabilities of chromosomes of one generation, designed the selection operator and the mutation operator by the average and the standard deviation, dynamically adjusted the probability of selection operator and mutation operator and decreased the blindness of genetic algorithm, increased the multiplicity of chromosomes by multiple-point crossover and repetitiveness check. The test shows that the algorithm offered in the article is feasible and effective.

Abstract: SWOT Analysis Method is improved by advantage of Analytic Hierarchy Process (AHP), qualitative and quantitative methods are combined effectively based on Analysis of traditional SWOT Method deficiency. In the end of this paper, the analytical hierarchy process (AHP)is applied in detail experiment and some sound analysis and research are implemented.