Advanced Materials Research Vols. 760-762

Abstract: Currently, the taxi empty crossing probability (ECP) is high, while taking a taxi is very difficult for people. This phenomenon is largely caused by the extensive mode of taxi operations. Aiming at this problem, a kind of intelligent optimization method based on the Artificial Fish-swarm Algorithm (AFSA) is proposed for taxi scheduling in this paper. Firstly, the design of this intelligent taxi dispatching system is introduced, and the taxi scheduling method based on grid dispatching algorithm is described simply. Then the method of using the AFSA to optimize the global distribution of empty taxis is mainly introduced. The purpose of this optimization method is to make the distribution of empty taxis consistent to the current distribution of passengers predicted according to the historical scheduling data. Finally, the effectiveness of the AFSA optimization method is verified by the taxis and passengers distribution which is obtained through MATLAB simulation. Moreover, this method has a better global optimizing effect compared with the method of using the Particle Swarm Optimization (PSO) algorithm to optimize the taxis distribution.

Abstract: Presently,each kind of network teaching-supporting platform is not very perfect,particularly,the network notebook computer system designed by its exploiter has not been brought to the enough attention,so the computer's function which is developed is unitary, cannot meet learners needs.This thesis analyzes the function which an ideal notebook computer system should have,then designs a new notebook system model,and uses the correlative techniques to realize its function.

Abstract: UGNX6.0 is used as the development platform by its UG/KF development tools, fusing feature and knowledge together, so as to realize the process associated with the geometric design knowledge and stamping process design. Based on the features of stamping process, the classification of stamping process knowledge has been studied. With the object-oriented method, the rule-based and instance-based technology for expressing and acquiring the stamping process knowledge is discussed. Based on this, the stamping process model driven by knowledge has been established. A bending sheet was taken as an example in introducing the designing process of progressive die based on UG_PDW. The process arrangement was mainly introduced, and the bending part feature recognition and modeling were all elaborated and related examples were given in the paper. It showed the importance of the CAD technology in designing of relatively complex progressive dies.

Abstract: Clustering System is constituted by interconnected dependent nodes, which can provide more reliable services for clients. Election is to choose a special nodes using for executing particular tasks from the nodes set. There are many election algorithms, Bully Algorithm is one of the classic algorithms, it is applied widely because it is easier to implement and the time wasting is controlled. However, the fixed priority rules of Bully Algorithm will lead the communication increasingly grow up with the system running time. Therefore, this paper presented the Balance Algorithm to solve this problem.

Abstract: The maintenance cost forecast of aviation equipment is a multifactor influenced, non-linear and little samples problem. Aiming at the problem, genetic algorithm (GA) and support vector machine (SVM) were combined to build a GA-SVM forecast model for maintenance cost of aviation equipment. The model used GA to optimize the parameters of SVM, which can avoid the blindness choice of parameters and improve its forecast efficiency. Through the example analysis, the model has more accurate results and extensibility than PSO-SVM, SVM and multivariate linear regression in the forecast of maintenance cost of aviation equipment.

Abstract: To study seakeeping capacity of a special surface vehicle, free rolling motion in static water is investigated; damping coefficient and rolling moment of inertia was taken as criterion; a mathematical model for 6-dof motion of the vehicle in viscous flow is constructed based on N-S equations and rigid body space motion equations. Forces and moments induced by flow around vehicle are computed from cells of surface on the vehicle. Local remeshing scheme is taken to remesh the field when position of the vehicle changed. Surface of vehicle is taken as non-slip wall boundary. Results indicate that damping coefficient and rolling moment of inertia deduced form computation coincide with experimental results.

Abstract: Aiming at the problem that the consuming-related factors of military aircrafts spare parts cant be revealed in the model, support vector machines (SVM) model was applied in the consuming prediction of spare parts. In the model, the main factors that affected spare parts consumption were taken as the input of SVM while the output was the consumption. Then, the test samples were input the trained model for prediction. The results show that, compared with GM (1,1) model and neural network model (ANN), the model has higher prediction accuracy and dynamic adaptability, which can provide some reference for the spare parts management sections.

Abstract: Based on the pull-off force calculation model with the liquid bridge capillarity force theory, analysis of the circumstance of the liquid bridge, puts forward an pull-off force calculation model with the consider of the edge effect. More experiment test results show, the model is effective and it can use for the exactitude calculate.

Abstract: This paper proposes a nearby phase search (NPS) algorithm based on BPS estimation algorithm in optical coherent receivers. And its suitable for arbitrary multi-level modulation. Making use of the continuity of phase change, the proposed NPS algorithm is applied to process nearby symbols by taking the pre-estimation phase of each symbol block as reference point. Compared to the traditional blind phase search (BPS) algorithm and its improved two-stage BPS algorithm, the performance of the proposed NPS algorithm is greatly improved in ultra-high speed coherent optical transmission system. By the simulation, the effectiveness and feasibility of the proposed algorithm are demonstrated in 28GBaud 16-QAM and 64-QAM system. Its shown that the computational complexity of the NPS algorithm greatly reduces in the guarantee of laser line width tolerance and bit error rate.

Abstract: A new detecting algorithm based on gray-weighted kernel function is proposed for the moving target detection (MTD) in dynamic series of image.This algorithm firstly realizes image sequence registration by using the biggest gradient point. Then divides the image into 32*32 sub-images. The moving target can be finally detected based on the changes of gray-weighted kernel function. The testing result shows that the algorithm can detect the moving target in real-time and can suppress the influence caused by image registration error and gray fluctuation effectively.