Applied Mechanics and Materials Vols. 48-49

Abstract: On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC ancillary service charges of reducing cost. This paper first takes total expense from many AGC units as an objective function, , which synthetically considers total regulation MW amount and total regulation speed constraints. A novel hybrid particle swarm optimization (PSO) algorithm is applied to solve the problem. Numerical simulation results show that the improved PSO algorithm has advantages both in the calculation accuracy and the convergence speed. Therefore, it is concluded that the algorithm is supposed to be an effective way to deal with the optimized issue in the power market.

Abstract: This paper presents a new point matching method to solve the dense point-to-point alignment of scanned 3D faces. Texture maps of 3D models are generated at first by unwrapping 3D faces to 2D space. Then, we build planar templates based on the mean shape computed by a group of annotated texture map. 34 landmarks on the unwrapped texture images are located by AAM and the final correspondence is built according to the templates. Comparing to the traditional algorithms, the presented point matching method can achieve good matching accuracy and stability.

Abstract: With the development of pulsed power technology, pulsed power equipment requires metallized capacitor with high energy density and large discharging current. Large discharging current makes leading wire pulling form the capacitor, or breaking the leading wire. This paper aims to calculate the electodynamic forces of metallized capacitor’s leading wire under DC, AC and transient state through ANSYS. The results show that electrodynamic force is smaller with annular leading wire, electrodynamic force increase with the frequency increasing under transient current, electrodynamic force increase with the rising time decreasing.

Abstract: Paper has been removed due to plagiarism. The original paper was published as a conference article by PTB in July 2010: Proceedings of Biosignals 2010, July 14-16, Berlin, German Paper title: Discrimination of reparative and cardiac displacements from ultra-wideband radar data By O. Kosch et. Al.

Abstract: The permanent magnet synchronous motor (PMSM), a nonlinear dynamic system, can exhibit prominent chaotic characteristics under some choices of system parameters and external inputs. Based on a mathematical model of the permanent magnet synchronous motor, the existence of chaotic attractor is verified by the phase trajectory, Lyapunov exponent map and the bifurcation diagram. Chaotic phenomenon, such as a strong oscillation of speed and torque, unstable operating performance, affects the normal operation of motor. It makes the PMSM in a stable state to control chaos of the PMSM with a control strategy of infinitesimal geometry, which can eliminate chaos well.

Abstract: The characteristics and the application prospect are analyzed. It is concluded that bionic flapping-wing flying has better lift fore generation efficiency, which is the development trend of aerial vehicles. By the scaling effect analysis on bionic flying mechanism, it is presented that bionic flying could be realized more easily when the sizes are decreased. In this article, the flying mechanism of inset and Aves was studied and the high lift force mechanism of flapping-winging was concluded. In order to make the flapping-flying easier, we design a new type flapping-flying mechanism. A set of flapping-wing move comparatively. It can provide lift force all the time. We test the lift force in the condition of different speed and different frequency. The lift effect is validated on a simple suspend flight device. An experimental platform to measure the aerodynamic force is devised and developed by ourselves. On this equipment, the aerodynamics force of the prototype is test. The result is that enhancing speed or frequency can improve lift force in evidence

Abstract: The heat transfer capability of the underground geothermal heat exchanger (GHE) is influenced by groundwater advection, and heat conduction and groundwater heat advection is coupled. Based on porous medium theory, the GHE’s mathematical model under coupled heat conduction and advection is established with correspond simplifications. Through numerical simulation, the performance of the GHE with groundwater advection is analyzed. The GHE’s heat transfer effect in winter in the continuous operation mode(COM) and the intermittent operation mode(IOM) is compared, furthermore the soil recovering effect in IOM is analyzed, finally the heat recovering time which the soil demands in a system running period is researched. It supplies theory support and technology accumulation for the application of ground-source heat pump (GSHP).

Abstract: The defects of artificial detection influenced the chromatic’s classification result of ceramic tile. In this paper, a kind of image registration method in space field is presented based on computer vision to match the ceramic tile. Then, CMC color algorithm based on CIELab color space is used to detect the chromatic aberration of ceramic tile. The experimental results indicate that the method of chromatic aberration classification technology used in this paper can recognize and classify ceramic tile with a high degree of precision. In addition, the measurement speed is improved and can meet the requirement of measurement of chromatic aberration on line.

Abstract: The performance optimization of cognitive radio is a multi-objective optimization problem. Existing genetic algorithms are difficult to assign the weight of each objective when the linear weighting method is used to simplify the multi-objective optimization problem into a single objective optimization problem. In this paper, we propose a new cognitive decision engine algorithm using multi-objective genetic algorithm with population adaptation. A multicarrier system is used for simulation analysis, and experimental results show that the proposed algorithm is effective and meets the real-time requirement.

Abstract: Current analysis in the relations between blast furnace production index and coke index is still using the traditional statistical analysis method，but it involves too many coke quality evaluation indexes and there are some overlap between the indexes. According to this situation, this paper puts forward a new method based on principal component analysis and decision tree mining to analyze the relations between blast furnace production index and coke index . The materials of blast furnace production mainly include ore, coke and coal, in which the coke quality index have the biggest influence on the blast furnace production index. It has profound meaning to analyze the relation between coke index and blast furnace production index to evaluate Coke quality indicators reasonably[1] and improve the blast furnace production index. Current analysis in the relations between blast furnace production index and coke index is still using the traditional statistical analysis method[2]，but it involves too many coke quality evaluation indexes and there are some overlap between the indexes. According to this situation, this paper puts forward a new method based on principal component analysis and decision-tree-based data-mining to analyze the relations between blast furnace production index and coke index. On the one hand this method can get few representative indexes from so many evaluation indexes by principal component analysis; on the other hand, decision-tree-based data-mining on the coke representative index based on the principal component analysis can get accurately quantitative relation between blast furnace production index and coke index.