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In order to make the system equation have the consistent results with test data, R.
Model Reduction.
From Eq.13, we can obtain the following equation: (14) So, the reduced dynamic stiffness matrix of satellite structure can be expressed as follows: (15) After the dynamic reduction, the model can be updated with measured response data.
The vibration test data is used to update its dynamic model.
Ewins, “finite element model updating using frequency response function data-1.

Coating a layer of soft silicone material on the surface of a rotating disk and determinate the rotating resistance in the fluid, according to the presentation of data, it has drag reduction effect compared with rigid surface and this kind of method also can be used on the research of flexible surface drag reduction technique.
Drag reduction in a rectangular duct using riblets.
The measurement of dynamic properties of viscoelastic materials for turbulent drag reduction//European Drag Reduction Meeting, Emerging Techniques in Drag Reduction.
Turbulent drag reduction using compliant surfaces.
Active wall motions for skin-friction drag reduction.

Because of the increasing demand of the simulation experimental data, the weapons target-injuring efficiency has become a very important indicator so as to be included in the evaluation system.
The variance reduction techniques should be combined with Monte Carlo method.
Simulation of Missile’s Flight Process While the high-speed computer is developing fast, using Monte Carlo Method to estimate statistic data of weapons system has become an important branch of military simulation [2].
Variance reduction techniques The common techniques of variance reduction are: Antithetic Variables Method, Control Variants Method, Stratified Sampling Method, Importance Sampling, Conditioning Method, etc.
We use Matlab to calculate data; 1.

With this system the user can know the forecasting data and decomposition results so as to make corresponding guiding policy.
Data Structure.
The data structures of “predicting the future carbon intensity” and “target decomposition” contain input and output data structure.
The input data of “predicting the future carbon intensity” is the specific year, the output data is the estimated carbon emission and carbon intensity in that year.
The input data of “target decomposition” is carbon intensity and the current year, the output data is the decomposed carbon emission and the target usage of coal, oil, natural gas and non-fossil fuel.

To achieve the aims, it was decided that the key parameters of the soft reduction which is soft reduction zone, total soft reduction amounts and reduction rate in the given soft reduction zone.
The proper soft reduction zone is the most important precondition to achieve the ideal effect in soft reduction practice.
The calculated values of solidus were compared with the data in dynamic secondary cooling model database in present work.
The calculation results with non-equilibrium solidus are basically consistent with pin shooting experimental data, and the max error is 5mm.
Comparison of soft reduction zone distribution.

The 30-day operation data indicated that 10mg/L 2,6-DCP can also effectively reduced the sludge production about 17.9% with the COD removal efficiency decreased about 6.99% and nitrification inhabitation was about 30.91%.
In our previous study, 2,6-DCP was selected as the metabolic uncoupler for sludge reduction, its distribution variation and its effect on sludge reduction were investigated[23].
This showed that the sludge reduction effect of 2,6-DCP depended greatly on pH.
Fig.2 Effect of 2,6-DCP on sludge reduction and nitrification inhibition Fig.3 Reduction of NH4-N, COD removal efficiency and sludge yield and nitrification inhibition Fig. 2 showed the effect of 2,6-DCP concentration on the reduction of sludge yield and nitrification inhibtion.
These 30-day operation data in Fig. 3 had further confirmed that 10 mg/L 2,6-DCP can effectively cut down the sludge production.

Among them, the values of should be set according to the expert advice or history data.
First step, selection of the sample data. the sample data should be from the same area and have the same technical conditions of the related real estate development projects.
M function files include foraging behavior, group behavior, following behavior and random behavior. according to the sample data, solve the optimal solution for the parameters a, b, c, min(a,b,c)<0.01 is for the algorithm termination conditions, and 0.01 is the tolerated error.
The evaluation results The classification criteria of evaluation results are in Table 2, the specific levels can be divided according to the average grade of each evaluation index in historical data, or can also according to the expert advice.
Depend on the carbon reduction ability of developers to give preferential policy.

Due to its high speed data rate and its ability of multipath fading channel robustness.
These services carries high data rates in wireless communication system.
OFDM has its major benefits of higher data rates and better performance.
High data rates are achieved by multiple carriers and is performance improvement is caused by the use of guard interval thus mitigating ISI [1-4].
Modulated data symbol of complex value denoted by known as Independent Identically Distributed (IID) random variable.

Table 2 Related electricity data (kWh) (kWh) 1.764 0.046 0.5 0.25 In table 2, we can find the anddata of Beijing subway line one in 2011.
Calculation about the year oil consumption of bus and car: Table 4 Beijing road transportation condition in 2011 (L) (L) 0.4-0.5 7-10 0.38 28% 16.5% Note: data come from Xinhua news network.
China produces 22179000tce sulfur dioxide for the whole year, from the above calculation, one line subway in Beijing can save 19700tce sulfur dioxide, the assume that there are ten lines subway, the data may be 6-10 times larger.
From these data, transportation may be a section needs more attention to reduce emission.
So except for , other known data stay the same.

The calculated band structure data of the Fe-CDs are summarized in Table. 1.
The band structure diagram of Fe-CDs obtained by combining data from Tacu and MS (Figure 6d) shows that the conduction band potential of Fe-CDs-13.0 is more negative than that of ScCDs, which suggests that the reduction ability of Fe-CDs-13.0 is enhanced.
The band structure data of samples Samples Band/eV Vfb/eV CB(NHE)/eV VB(NHE)/eV ScCDs 1.51 -0.87 -0.83 0.68 Fe-CDs-10.0 1.23 -1.06 -1.02 0.21 Fe-CDs-11.5 1.39 -0.98 -0.94 0.45 Fe-CDs-13.0 1.44 -0.93 -0.89 0.55 Fe-CDs-14.5 1.78 -0.95 -0.91 0.87 Fe-CDs-16.0 1.14 -0.92 -0.88 0.26 Fig. 6.
The photocatalytic performances of ScCDs and Fe-CDs were tested in pure water and the data are compared in Figure 8.
Zhao, Enhanced photocatalytic CO2 reduction in a twin reactor by separating triphase CO2 reduction and water oxidation reactions, J.