Applied Mechanics and Materials Vols. 651-653

Abstract: A method that use fuzzy inference theory to infer the functional structure model is presented. Is based on fuzzy inference theory of artificial intelligence area, analyze and study the measured data, then extract plant growth rule and growth function. When constructing functional structure that can reflect the impact of the environment, the influence of environment was taken into full account. The source and sink organs respond the surrounding virtual environment according to its inbuilt growth function, and produce, allocate and consume assimilates as well as update the L-grammar representing the plant structure, and at last produce the plant that adapt to present virtual environment. The simulation test result show that the model can accurately extract the growth rule, construct right growth function, and vividly reflect the impact of environment.

Abstract: This paper deals with the parameter identication problem for Hammerstein systems with two-segment preload nonlinearity. Taking into account the complexity of Hammerstein systems, we use theWeierstrass approximation theorem to convert a Hammerstein system into a special form that has linear-in-parameters, and propose a stochastic gradient algorithm to estimate all unknown parameters of Hammerstein systems. Furthermore, a modified stochastic gradient algorithm is given to improve the convergence rate. The applicability of the approach is illustrated by a simulation example.

Abstract: In order to automatically detect bacilli in sputum image with microscopy, an intelligent recognition method based on machine vision is presented. Firstly, a novel background filter was designed based on the single layer perceptron to realize object segmentation from background. After eliminating the short twig and small area noise, the suspicious goals and the image noise are separated. In the feature extraction, besides the base features of single bacillus two important features are presented to solve the difficult problem of identification and counting for the overlapping and winding bacilli cells. Finally, an EBP neural network classifier is designed for the accurate identification and counting of the bacilli cells. Experimental results verified the effectiveness of the presented method.

Abstract: . Aiming at the defects of weak global search ability and slow convergence speed in bacteria foraging algorithm optimization, this paper proposed an improved chaotic bacteria foraging optimization algorithm which has introduced the chaotic thoughts, improved the update operation of fitness and migration operation in optimization process. Using Logistic chaotic map initializes the bacteria population, so as to improve the convergence speed of the algorithm; Then adjust quorum sensing mechanism to optimize the chemotactic direction of the bacteria, and operate on perished bacteria with chaos disturbance in migration operation, so as to improve the global optimization ability of the algorithm. Simulation of two standard test functions show that the proposed algorithm has higher convergence speed and precision.

Abstract: In this paper, an Multi-channel blind separation of Direct Sequence Code Division Multiple Access (DS-CDMA) has been introduced. Most of which we assume statistically stationary sources as well as instantaneous mixtures of signals using blind source separation (BSS) algorithms. In practicality, the CDMA sources received are convolute mixing. A more complex blind separation algorithm is required to achieve better source separation. Based on the minimizing the average squared cross-output-channel-correlation, the proposed scheme obtains the better source separation. Simulation results show that the proposed optimal scheme not only achieves superior bit error rate (BER) performance to those of the existing ones, but also provides a guaranteed-convergent solution under different channel conditions.

Abstract: Linear feature detection in digital images is an important low-level operationin computer vision that has many applications. In remote sensing tasks, it can be usedto extract roads, railroads, and rivers from satellite or low-resolution aerialimages,which can be used for the capture or update of data for geographic information andnavigation systems. In addition, it is useful in medical imaging for the extraction ofblood vessels from an X-ray angiography or the bones in the skull from a CT or MRimage. It also can be applied in horticulture for underground plant root detection inminirhizotron images.

Abstract: The 3D laser scanning technology is a hot spot in developed measuring in recent years. In the surface reconstruction of reverse engineering, the 3D laser scanning point cloud data is too large, and is not conducive to the computation, storage and surface reconstruction. After understanding the research status of the point cloud data processing streamline method at home and abroad, and through the analysis of minimum distance algorithm and the angle-chord height combined code method applicable to engineering characteristics, at the same time, the combination algorithm, which is based on the minimum distance algorithm and the angle-chord height combined code method, is proposed to simplify the point cloud data. The scanning point cloud is simplified by using matlab line by line.

Abstract: This paper is concerned with the delay-dependent stability for linear systems. Through constructing a new augmented LKF and using a new integral inequality, the improved delay-dependent stability criteria are derived in terms of linear matrix inequalities, and it is established that the results have less conservativ`e than some existing stability conditions. Finally, numerical examples are given to illustrate the effectiveness of the proposed result.

Abstract: According to the application needs of OFDM techniques, a new method of orthogonal frequency division multiplexing (OFDM) channel estimation based on inter symbol interference (ISI) cancellation was proposed. The channel estimation was based on circular convolution, after which a low-complexity frequency-domain ZF equalization was used. The performance of bit-error-rate (BER) was also simulated and analyzed under the additive-white-Gaussian-noise (AWGN) channel, Rayleigh fading channel with mobility. The simulation results showed that this method could be applied to the channels of time-varying environments, and could get better performance than the traditional cyclic prefix (CP)-OFDM.

Abstract: The calculation of basketball trajectory involves the elastic-plastic mechanics and aerodynamics theory. Besides the deformation of basketball flight, the flight is a complex fluid solid coupling process. If wanting to simulate the flight trajectory of basketball accurately, it must consider the effect of flow field and solid fluid solid coupling field. In order to calculate the flight trajectory of basketball accurately and improve basketball shooting speed and posture training efficiency in the training process, this paper uses the FLUENT to simulate the basketball flight trajectory. Combined with the aerodynamic theory we established the mathematical model of basketball flight. Through the numerical simulation we calculate the velocity field and the monitoring point deformation curve of basketball flight, it provides a new method for computer technical training for basketball players.