Applied Mechanics and Materials Vols. 556-562

Abstract: A novel space environment effects equivalence model used for space optical detection is proposed in this paper. In this model, the effects on the space optical detection system are equivalent to defocus, image motion, vibration and noise. Besides, the equivalent modulation transfer function of the space optical detection system is presented. The proposed model can avoid analyzing so many space influence factors at the same time. Moreover, the model can provide some basis to determine the parameters of the detection system which are difficult to measure. Some numerical simulations are made to test the validity and capability of the proposed model.

Abstract: The experiment of chaotic exponent extraction is carried out on the basis of nonlinear vibration system, and the responses under different conditions are processed with the improved algorithm. Firstly, the weighted wavelet denoise method is applied to filter the contaminated noise. Then, on the basis of fast search technology i.e. space grid hiberarchy inquiry method, the chaos characteristic exponent extraction algorithm is modified and applied to LE and fractal dimension calculation. Finally the piece-wise vibration system is designed, and the nonlinear dynamics under different harmonic frequencies excitation are analyzed. The comprehensive chaos judgment program is developed, in which the time domain diagram, phase space reconstruction attractor, Lyapunov exponent, fractal dimension curve of the measured data are obtained. The interesting phenomena such as AM modulation, limited cycle, and strange attractor are observed.

Abstract: This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [1] and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.

Abstract: Quorum sensing is widely distributed in bacteria and make bacteria are similar to complex adaptive systems, with intelligent features such as emerging and non-linear, the ultimate expression of the adaptive to changes in the environment. Based on the phenomenon of bacterial quorum sensing and Bacterial Foraging Optimization Algorithm, some new optimization algorithms have been proposed. In this paper, it presents research situations, such as environment-dependent quorum sensing mechanism, quorum sensing mechanism with quantum behavior, cell-to-cell communication, multi-colony communication, density perception mechanism. Areas of future emphasis and direction in development were also pointed out.

Abstract: The optimization Problem of queuing system is an important research subject in the queuing system.There are two ways to solve this problem:one is the traditional theoretical analysis, the other is the application of computer simulation. This thesis introduces the queuing theory and the simulation technique of discrete event system, including fundamental conceptions, methods, performance index and classical model of queuing system, as well as the definition of simulation and the procedure of the simulation of discrete event system. And procedure and parameters set of general modeling methods are analyzed.

Abstract: According to the defects of classical k-means clustering algorithm such as sensitive to the initial clustering center selection, the poor global search ability, falling into the local optimal solution. Artificial Bee Colony algorithm based on K-means was introduced in this article, then put forward an improved Artificial Bee Colony algorithm combined with k-means clustering algorithm at the same time. The experiments showed that the method has solved algorithm stability of k-means clustering algorithm well, and more effectively improved clustering quality and property.

Abstract: In this paper we use elastic-plastic mechanics and air dynamic to establish the mathematical model of badminton flight trajectory and deformation, and use the ANSYS software to do simulation on badminton flight process, and obtain the flight path and deformation of badminton. In order to analyze the badminton four-dimensional space-time data, we establish the one-dimensional time measurement, and use one-dimensional time transient stress to establish flight trajectory and deformation, and design the four-dimensional space-time steady-state simulation process. Through calculation we eventually get the force of badminton flight process and deformation nephogram. Comparing four times results of numerical simulation results, the mathematical model of this design model meets the design requirements. It provides technical reference for badminton athlete's training and teaching.

Abstract: Moving target detection and tracking in complex background is the key technology in the field of computer vision, which has become one of the focus researches for many scholars at home and abroad. Many applications, such as robot navigation, video tracking, are closely related with the moving object detection and tracking in complex background. In this paper, we improve the traditional stochastic model and target matching algorithm, combining with the feature optical flow method, to detect and track moving target detection in complex scene, and get online modified CRF model. It provides theoretical support and guidance technology for future research.

Abstract: Based on the correlation principles of three Hermite interpolation, combined with the optimal data correlation search method, we establish the correlation mathematical model of financing risk for supply chain management, and design the optimal search computer simulation system of financing risk data. In order to verify the availability and reliability of the system, we compare three different algorithms of risk data search times and search time. Through calculation and comparison, the minimum number of search times is the correlation algorithm designed with only 6 times; the maximum is the BP neural network algorithm with 13 times; the minimum time of search times is the correlation algorithm with only 1.8s; the maximum is the genetic algorithm with 2.9s.

Abstract: This paper uses EVA investment objective function and benefits to establish the risk assessment model of enterprise investment and financing combination, and expounds the specific processes of computer EVA investment and financing risk management and designs the elimination matrix algorithm. In order to validate the validity and reliability of risk assessment model designed in this paper, the third part has designed numerical simulation of MATLAB, and an enterprise's 2011-2013 financial statements is took as an example to assess enterprise investment and financing risk. It can find that through calculation, the calculation error can achieve good convergence effects in 20s, and obtain the MATLAB GUI visualization window of enterprise investment and financing EVA accounting. It can identify enterprise year EVA profit value by using visualization window, which provides theoretical reference for enterprises investment and financing risk management.