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By comparing computational results with experiment data (Fig. 2b), the result shows that STRUCT2D can be used by airfoil optimization.
The optimization result shows a great drag reduction by numerical optimization.

Mode predictions shown in both figures are quite consistent with experimental data in terms of dominant dynamic characteristic and the direction of steady state change.
The next step is model reduction and control method design.

Therefore study these uncertainties is not only necessary to Energy Plan, but also to solve our regional energy structure adjustment, energy optimization, renewable energy development, air quality management, greenhouse gas reduction and energy management system.
Interval mathematical programming variables can be treated as a simple interval upper and lower bound, which greatly reduces the amount of data requirements.

The polymerization of aniline and the reduction of HAuCl4 occurred synchronously and Au/Aniline polymerid colloid suspension is obtained.
According to experimental data, about 1 KHz with 50 V voltages maximizes the performance of field inducing.

Time-HistoryVertical Acceleration data of rail sampled are plot bellow.
Attenuation effect of damping fastener is great contrast to fastener with no damping, acceleration amplitude reduction archives 50%.

Introduction In advanced ultra large scale integration (ULSI) technology, reduction of line size and spicing width increases the metallic line resistance as well as parasitic capacitance, resulting in signal propagation delay and cross talk [1].
FTIR analysis data shows that Si-F and SiـO bonds can be created during the deposition process because F and O radicals easily react with Si.

T[℃] Young’s modulus E[Mpa] Yield strength σ0.2[Mpa] Fracture limit σb[Mpa] Elongation Δ[%] Reduction of area Ψ[%] Poisson ratio μ 20 2.034E5 382 636 26.35 46.85 0.3 400 1.761E5 345 574 20.35 48.57 0.3 Geometry of Specimens.
Fig.4 The results of 400℃ low cycle fatigue tests Data Analysis Stress and Strain Field Analysis.

The basic idea of the algorithm is according to the principle of path length no reduction produce shortest paths.
A new shortest path algorithm for massive spatial data based on Dijkstra algorithm[J].Journal of LiaoNing Technology University: (Natural Science and edition), 2009, 28(4): 554-557.

Self-Pierce Riveting is a key technique applied to automotive aluminum alloy body in weight reduction and energy conservation.
With the powerful data processing and numerical calculation function of Matlab, programs of kinematics functions can be written and solved to get the position, velocity and acceleration in the end center of the riveting manipulator, as shown in Fig. 3: Fig. 3: (a) X, Y, Z position curves (b) X, Y, Z velocity curves (c) X, Y, Z acceleration curves Analysis of kinematics simulation based on ADAMS The virtual prototype model of the riveting manipulator can be built by ADAMS, as shown in Fig.4: Fig.4 Virtual prototype model of riveting manipulator The virtual movement analysis can be made through the manipulator’s virtual prototype model built by ADAMS [8] .The position, velocity and acceleration in the end center of the riveting manipulator can be dynamically observed through the measure window in the simulation process.

This system centered on the network intelligent control data terminal products of a plan, because the product focused security, disaster prevention, for help, three table control functions such as copy, information release and home appliance, so the system has high integration, design is simplified, the cost is greatly reduced, with high cost performance.
Patent 6,231,666. 4], functional block diagram shown below: Fig.5 The network principle block diagram 3.3 The infrared receiving module This scheme uses PIC16F877 single chip microcomputer realization of infrared remote control signal forward self learning and reduction.