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This paper proposes parameter optimization method of GP-MSE based on extraction parameters model. First, we identify the function relationship between dependent and independent variables by using neural networks. Second, independent variable set is made by interpolating the original independent variables, and then input these independent variables to fitted function to generate the dependent variable set. Last, we find the maximum value on dependent variable set to confirm the optimal parameters. Experimental result shows that the proposed method is not only simple and fast, but also ideal for recovery of single analyte.

This paper presents a new method for human identification using one lead ECG signal. First, preprocessing technique is used to perform the denoising. Then, QRS detection, modified HOAC, and DCT are utilized to extract features from preprocessed data. Finally, 1-nn classifier is used to classify the extracted features. The experimental result based on the proposed method shows the good performance in human identification.

Developing effective black start plans is significant to the rapid restoration from the power system blackout. This paper makes theoretical research in some key concerns of self-excitation, over-voltage, the impact of starting loads on the voltage and frequency, and stability of the initial small system. The paper also presents countermeasures against these problems. This overview should be very useful to utility operators involved in the development of black start plans.

Fuel oil-mixture gas converter is used for heavy oil exploitation is a new equipment of thermal recovery. Strength calculations and enthalpy values are related in the design. For selection and design to each part-structure of the fuel-mixture converter. Applied the analysis software of ANSYS FLUENT, fuel-gas combustion simulation is to combustion chamber of Fuel oil-mixture gas converter. The results show that the design is feasibility.

Turn-milling technology can replace turning with milling to high speed machining rotationally body parts. So, micro-turn-milling has superiority on the productivity and the quality of workpieces, and is more suitable to machine micro-shaft parts and desirable miniature parts based on the turn-milling technology. Micro-turn-milling can be used for the machining of micro-parts in its hardened state. In this paper, the influence of cutting parameters on surface topography and tool wear is presented in micro-turn-milling of micro-screw. The interaction effect of parameters to surface topography and tool wear is investigated. The results show that micro-turn-milling technology has its peculiar advantages in realizing high-speed cutting and ensuring machining quality.

For the problem of higher transverse sensitivity ratio of the cymbal piezoelectric vibration acceleration sensors, a mathematical model of output voltage sensitivity is established which employ orthogonal and array methods to reduce the transverse sensitivity ratio of the piezoelectric vibration acceleration sensor. Two compensation methods are designed. The results showed that the array and orthogonal methods can decrease the effect of the transverse interference of acceleration sensor effectively and control the relative error in a smaller range, improve the measurement accuracy of the sensors.

Because the nonlinear and strong coupling characteristics of brushless DC motor, the classical PI controller can not control it easily. In order to solve the control problem of brushless DC motor, an improved control method is proposed which based on passivity-based control technology. According to a model of brushless DC motor (BLDCM) that based on Euler －Lagrange (EL) equation, designed a passivity-based controller. The simulation result shows that，compared with the PI controller，this method can not only improve the dynamic response property and anti-jamming ability of the system, but also get a better speed-adjustability.