Applied Mechanics and Materials Vols. 347-350

Abstract: Genetic programming is an evolutionary algorithm that proposed to solve the automatic computer program design problem by J.R.Koza in the 1990s. It has good universality and intelligence, and has been widely applied in the field of computer engineering. But genetic programming is essentially a stochastic optimization algorithm, lack theoretic basis on the convergence of algorithm, which limit the scope of its application in some extent. The convergence mechanism of non-elitist genetic programming was studied in this paper. A recursive estimation of the probability of population contains satisfactory solution with the evolution algebra was established by the analysis of operators characteristic parameters, then a sufficient condition of population converge in probability was derived from this estimation, and thereby some operational convergence strategies for many common evolution modes were provided.

Abstract: This paper proposes a survey on smartphone security from the aspect of mobile malware, specifications related to smartphone security, and smartphone security solutions. The contribution of this paper helps people to quickly know about definition of malware, attack channels and black industry chain of smartphone security, international and domestic mobile security specification, and smartphone security solutions by security vendors.

Abstract: To establish a general and robust shot boundary detection algorithm, according to characteristics of lens conversion and the ideal of multiple video features fusion, a shot boundary detection algorithm is proposed based on YUV histogram, texture feature and edge orientation histogram in the paper. Besides, global and self-adaptive threshold are combined to use so as to control the process of shot boundary detection and enhance the accuracy of threshold selection. The experiment results show that the algorithm can effectively realize video shot boundary detection and strengthen the robustness of the detection.

Abstract: A novel algorithm which is image fusion based on GPU is proposed. The fused rule is regional energy. In recent years, the power of the computing of GPU has been greatly improved, which results that using it for the general-purpose computing has a rapid development. The essay researches on implementing the oriental field algorithm on GPU, including selecting GPU memories and dividing blocks and threads of GPU kernel functions. The results of experiment on the GPU of NVIDIA GTX560 are given, which shows that our proposed algorithm can be applied to the field of image fusion. Experiment shows the proposed algorithm has faster calcu-lation velocity and higher evaluation accuracy. The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation. Meanwhile the mutual information and Q^AB/F parameters are higher than that of the CPU-based algorithm.

Abstract: ntelligent transport system that based on Internet of Vehicles is regarded as effective measure to guarantee the safety of highway transport. Anti-worm model in vehicular IOT is constructed based on divide-and-conquer with velocity and the drive velocity of vehicle node as the conversion condition between active and passive anti-worms in hybrid anti-worms. Implement this model on the design of Internet of Vehicles terminal, the simulation results show that this model can make the performance of network improved in highway environment regardless of complex road conditions domain and provides a theoretical basis for programming real-time detection strategy and preventing worm destructive epidemics in vehicular Internet of things.

Abstract: Recently, water surface target detection and tracking for sea, lake, or river are challenging research topics. This paper presents a framework of target detection and tracing based on three-channel synchronization polarization imaging and imitation dragonfly compound eye LF-SF (large field-small field) mechanism. This framework can make full use of the advantages of polarization sensitivity of the compound eyes of a dragonfly, and be useful for effective water surface target detection and motion vector estimation.

Abstract: This paper summarizes integrated simulation technology development status of gas turbine equipment at home and abroad, makes comparative analysis of the deficiencies in the existing domestic research, forecasts the direction of development in the field of integrated simulation about gas turbine equipment at our country finally.

Abstract: An unmanned helicopter dynamic model identification method based on immune particle swarm optimization (PSO) algorithm is approved in this paper. In order to improve the search efficiency of PSO and avoid the premature convergence, the PSO algorithm is combined with the immune algorithm. The unmanned helicopter model parameters are coded as particle, the error of flight test and math simulation model is objective function, and the dynamic model of unmanned helicopter is identified. The simulation result shows that the method has high identification precision and can realistically reflect the dynamic characteristics.

Abstract: Water turbine system model is set up in MATLAB based on the three main parameters which are guide vane opening, unit flow and unit speed. Then use trainlm function and sample defaulted by the system to train the networks. The interpolation fitting process of the nonlinear relation is performed on the PC and only the right value and threshold of the non-linear relationship are transferred to the control core DSC of the local computer, which effectively improved the nonlinear real-time simulation speed. The process of realizing the nonlinear simulation based on neural network according to the actual unit HL220 is discussed and analyzed the results.

Abstract: This article poses an algorithm of the hierarchical topology in wireless sensor network based on shortest path tree algorithm to cover the shortage of LAC Routing Algorithm (LAC-T), which based on SPT(Shortest Path Tree). LAC-T algorithm elects cluster head by the remaining energy of nodes and the distance between node and base station. Meanwhile, it uses SPT to communicate among cluster heads in WSNs. The result of stimulation shows that LAC-T algorithm is not only easy to achieve, but could be better balance the energy consumption of each node, extend the lifespan of WSN (Wireless Sensor Network).