Applied Mechanics and Materials Vols. 738-739

Abstract: Spectrum inversion method based on genetic algorithm (GA) is a kind of optimization methods for improving seismic data resolution, compared with the spectrum inversion based on conjugate gradient method,GA does not require a good starting model but rather a search space.In this paper, this algorithm is first proposed, and applied to thin layer identification,base on the resolution of odd and even component of reflection coefficient in thin layer,derive the spectrum inversion objective function, briefly describe the principle of genetic algorithm, finally in the wedge model and actual data for trial. According to the result, spectrum inversion method based on genetic algorithm can improve the ability of thin layer identification to a certain extent, improve the resolution of the seismic exploration.

Abstract: DCT is the most popular image and video coding algorithm, and is widely used. Though the design of common one-dimension DCT only consists of many adders, there are a lot of limitations in the speed of processing data and the possession of system resources. This paper introduces a kind of 8 * 8 two-dimensional DCT optimization design, and implements it in FPGA. By adopting pipeline design, multipliers and adders, we reduce the resources’ possession of FPGA and improve the operational speed. At last we use the simulation by Quartus II and the performance analysis to prove the correctness and effectiveness of the design [1].

Abstract: The stochastic resonance (SR) theory provides a new idea for the detection of weak signal submerged in the strong noise. Combined with the optimization theory, this paper puts forward a stochastic resonance system based on genetic algorithm and applied it in a low concentrations gas detection. Firstly we preprocessed the input signal to satisfy the requirements of SR system, then developed the genetic algorithm to seek the maximum output signal-to-noise ratio (SNR), which was used to evaluate the performance of the system. In the end the relationship between the maximum SNR and concentration of gas was analyzed. The results of the experiments indicated the proposed method could improve the detection ability and enhance the detection limit of low gas concentrations.

Abstract: In view of the traditional support vector machine (SVM) model in wind power prediction parameter selection problems, this paper introduced a model which using artificial colony algorithm to seek the optimal parameters of support vector machine. The experimental results show that the SVM model of artificial swarm optimization application and prediction is effective, makes the forecast precision is improved.

Abstract: High calculation precision and speed of the model parameter estimation has become the theoretical research emphasis and the key link of the applications of the time series analysis based methods. Aiming at the problem that some of the previous parameter estimation methods exist the weakness of stronger constraints, higher time complexity, lower precision of the whole recurrence process and insufficient online diagnosis power, this paper proposes an approach which repeatedly uses the auto-covariance function and the autocorrelation function throughout the recurrent process while guaranteeing not to increase the time complexity of the proposed algorithm and, hence improve the calculation speed and accuracy of parameter estimation simultaneously. As compared to related work, it has lower time complexity, shorter computation time and higher parameter estimation accuracy. The fault diagnosis steps based on the proposed parameter estimation approach are also suggested.

Abstract: For the definition of heterogeneous and non-isotropic medium diffusion equation, we have established a finite-difference algorithm for the numerical solution of diffusion problems. This algorithm not only applies to the convex meshes, but also applies to the concave grid or self-AC grid. The performance of this algorithm is comparable to other algorithms for problems with smooth coefficients and regular grids, but it is superior to the problems with rough coefficients and no-skewed grids. We will discuss the truncation error and correction algorithm of the support-operator in this article.

Abstract: Based on the propagation law of partially coherent beams, the analytical expression of the beam width, waist positions and the far-field divergence angle of partially coherent sinh-Gaussian (ShG) beams through an astigmatic lens were derived. The effect of astigmatism and spatial coherence parameter on the beam parameters was mainly analyzed. It is found that the beam width depends on the astigmatic coefficient, spatial coherence parameter, decentered parameter, fresnel number and propagation distance in general. The astigmatism results in a difference between the beam widths, waist positions and far-field divergence angles in the x and y directions.

Abstract: Based on the Rayleigh-Sommerfeld diffraction integrals, the closed-form expression of nonparaxial cosine-squared Gaussian beams in free space is derived. The power in the bucket (PIB) of nonparaxial regime is introduced to characterize the beam quality of nonparaxial beams in the far field. It is found that the intensity and PIB of nonparaxial cosine-squared Gaussian beams depends on f parameter, decentered parameter, and the PIB is additionally depends on the bucket’s size taken. For a given bucket’s size, the smaller decentered parameter and f parameter result in the better power focusability in the far field and the better beam quality.

Abstract: Today in Russia the urgent question of preparation of qualified specialists for the construction industry. Appearance of new types of work requires workers, foremen and superintendents know how most effectively to manage the construction process, and often it is impossible without a qualitatively prepared the technological card on a certain type of work. Routing is an integral part of the design and technological documentation. It is necessary to modernize the process of formation of technological cards and create a new one, following the trends of development of the construction industry. Use of modern information technologies for the formation of technological cards will eliminate a number of personnel issues facing the construction complex. Raise the level of preparation of design and technological documentation will be possible due to introduction of methods, models, algorithms for automation of documentation. The process of development of technological cards in construction is one of the most difficult and complex and, at the same time, the least automated. Therefore, development of new models and methods of automation, change the very process of creating this section of organizational and technological documentation, will allow to solve an actual problem of improvement of quality of formation of technological cards, reduce time and cost of construction. Methodological and theoretical basis of research includes: the theory and practice of CAD, system analysis and construction or for system architect, database design, theory of algorithms, thematic work of the authors, the normative documentation in the field.

Abstract: The article focused on tropical agricultural products and summarized the electronic information elements. RFID was used as information carrier. The research explored the smart identification method realization technologies for the internet of things of tropical agriculture. In the research, we set up a base information database platform of tropical agricultural products and realized the smart tag’s reading and writing operation. The smart identification of electronic information system based on RFID is designed. The system can realize functions of RFID code automatically generating and improving the tag read rate.