Advanced Materials Research Vols. 219-220

Abstract: Highly skilled capacity is the aim of vocational training about the course of hydropower building construction. Modern teaching methods have some prosperity, such as immediacy, interaction, imagination and so on .These modern means break the bottleneck of traditional teaching methods. With the help of three-dimensional model and flash animation, which do help students make a good understanding of the course and master the skills.

Abstract: A saddle-shaped curve is formed by intersection of two tubes. This paper proposes a new saddle curve interpolation algorithm for automated welding system with non-Cartesian coordinate system. The trajectory interpolation of saddle-shaped curve is usually carried out through approximating the curve as segments of straight line/circular arc for intersection seam automated CNC welding. Simulation of the direct interpolation algorithm is carried out to testify its effectiveness and superiority. With this algorithm, it is demonstrated that the chord error is within the allowable limits and the algorithm has high reliability.

Abstract: According to the connotation of dematerialization, this paper states that dematerialization plays an important role in deepening the development of Circular Economy (CE), and maintaining balance and function of the eco-economic system. This paper demonstrates the dematerialization nature of CE in terms of de-coupling, and states that the de-coupling between economy and environment is the fundamental goal of CE. It is also proposed to further conceive the de-coupling index system, and to apply it as the measurement tool to the assessment of the CE practice in China.

Abstract: This paper presents the results of experimental analysis and theoretical research of piezoelectric stack actuators. The key is to understand the behavior of piezoelectric materials mechanical loads in this paper, and to determine optimum working conditions. Based on analysis of some parameters and driven model, which are necessary to performing design optimization to achieve maximum energy transfer and minimum power consume, provide relevant evidence For the subsequent theoretical research.

Abstract: It is well known that integral input-to-output stability(IIOS) is weaker than input-to -output stability(IOS).In this paper,IIOS problems for one class of discontinuous dynamical systems are considered.Piecewise smooth IIOS-Lyapunov functions are adopted.Furthermore,interconnecti ons of discontinuous dynamical systems are studied.The results for a class of discontinuous dynam ical systems and interconnection of discontinuous dynamical systems' IIOS character are shown,res pectively.

Abstract: While K-Means algorithm usually gets local optimal solution, spectral clustering method can obtain satisfying clustering results through embedding the data points into a new space in which clusters are tighter. Since traditional spectral clustering method uses Gauss Kernel Function to compute the similarity between two points, the selection of scale parameter σ is related with domain knowledge usually. This paper uses spectral method to cluster XML documents. To consider both element and structure of XML documents, this paper proposes to use path feature to represent XML document; to avoild the selection of scale parameter σ, it also proposes to use Jaccard coefficient to compute the similarity between two XML documents. Experiment shows that using Jaccard coefficient to compute the similarity is effective, the clustering result is correct.

Abstract: Along with the construction of highways in our country, many highways are crossing the mountains. The excavation of those roads will form cuttings, cutting deformation monitoring and forecast provides a good guarantee for road construction safety .This paper used simulated annealing (simulated annealing, SA) algorithm combined with BP neural network algorithm, based on monitoring data, to predict the deformation of cutting and well avoid slow convergence of network training and local minimum. In the same initial conditions, the proposed algorithm based on neural network algorithm has a higher training convergence speed and better prediction accuracy than the traditional BP neural network, is an effective forecasting method.

Abstract: This paper discusses the damage identification using artificial neural network methods for the benchmark problem set up by IASC-ASCE Task Group on Health Monitoring. A three-stage damage identification strategy for building structures is proposed. The BP network and PNN are employed for damage localization and BP network for damage extent identification. Four damage patterns (patterns i~iv) in Cases 1-6 are discussed. The comparison between BP network and PNN are carried out. The results show that PNN performs better than BP network in damage localization. The damage extent identification using BPN is successful even in Cases 2 and 5&6 in which the modeling error is quite large.

Abstract: A test-bed used to test electromagnetic eddy current retarder’s performance was designed. It can evaluate the connection of automobiles speed, excitation current, rotor temperature and brake torsion. Besides, a series of flywheels were designed which can randomly combine and simulate the running state of the automobiles. The design of flywheel is referred in many machines, not for it can solve the problem of stability, but for providing moment of inertia.

Abstract: Effluent quality of vertical tube biological reactor (VTBR) was simulated by support vector machine. Average R² of the training set and the test set were used to balance the fitness and the predictive ability of SVR models, and evaluate the general performance of SVR models. Following a special grid search procedure, optimal parameters were determined for these SVR models. Results indicted that these SVR models have good fitness and predictive ability. The developed model may be integrated into an advanced control system for the VTBR using different control strategies with further work. Furthermore, SVR was found to be a useful and promising tool that is worth consideration in the prediction of effluent of wastewater treatment processes.