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Damage assessment of high-rise hybrid buildings structures based on monitoring data Monitoring data is the basis of this method.
The monitoring data here refer to are the real-time monitoring data in the process of earthquake.
In this paper, there are two sources of real-time monitoring data: first, the real-time monitoring data that be got when the structure meet the real earthquake; second, the monitoring data that be got from shaking table test.
Utilize monitoring data to amend the result of finite element.
However, using the incremental loading method, a series of monitoring data will be got if the monitoring data is from shaking table test.

According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions.
According to these two plants produce energy consumption data, using the above method for calculating the integrated energy, greenhouse gas emissions, carbon intensity and carbon productivity.
Calculations and comparisons of these two sets of data in accordance with the same capacity and the same tariff case have been done.
The data of each index show in Table3.
Parameters of the decision method are determined by the calculation method of energy saving, greenhouse gases emissions, carbon productivity, the carbon intensity and the weight of each index bases on quantitative data.

Catalyst characterizations X-ray powder diffraction (XRD) data were taken Bruker D8 diffractometer equipped with CuKα(l=0.1541 nm) radiation operating at 40 kV and 40 mA for 2θ angles ranging from 1.25° to 80° with a step interval of 0.2°.
a: ML, b: OMS, c: Cu-ML, d:Cu-OMS The N2 isotherm adsorption-desorption data for ML, OMS, Cu-ML and Cu-OMS after calcined are displayed in Fig. 2.
However, commonly used method to obtain results of adsorption-desorption data and the downstream calculations may not very accurate about this type of pore structure.
The other reason is the bounded water in the interlayers, which maybe affect the desorption data, and lead to the adsorption-desorption isothermal cannot return.
So, the N2 isotherm adsorption-desorption data still meaningful at here.

The selective reduction was promoted by selecting the appropriate amount of modifier.
Reduction order was elucidated in this paper, Fe was reduced from the slag followed by P, Mn and Si and the reduction rate of Si could reach about 51%.
The metal phase was rich in Fe, Si, Mn and P as a result of the selective reduction.
Effect of Temperature on Selective Reduction.
The variations in the recovery rate of Si are shown in Fig.4; here the SiO2 30 mass% in the slag was indicated by diamonds, circles represent the data points resulting from the reduction of 40 mass% SiO2 and the triangles denotes the 50 mass% SiO2 in the slag.

OFDM can provide large data rates with sufficient robustness to radio channel impairments.
The interleaver rearranges input data such that consecutive data are spaced apart.
This interleaver produces K permuted frames of the input data sequence.
Data will be interleaving and then measure the PAPR and if it is large than the PAPRo (threshold value) the data will bass throw multi type of interleaving and select the interleaving block which gave minimum PAPR [7].
We used image signal as data source, proposed technique for PAPR reduction improvement the PSNR for the received image by 4.86 dB.

Soft Reduction of a Cast Ingot on the Incomplete Crystallization Stage Tatyana I.
Numerical and physical simulation on model samples can provide data for various aspects of metal forming, without resorting to time-consuming and costly full-scale tests.
It also provides a novel method for studying the process of soft reduction.
In the given geometry and pressure of 1 MPa, the reduction of the inner zone is 30% greater than the reduction of the solid part.
In the given geometry, the reduction of inner zone is 30% greater than the reduction of the solid part.

Principal Component Analysis (PCA) represents a powerful tool for analyzing data by reducing the number of dimensions, without important loss of information and has been applied on datasets in all scientific domains [4].
On the other hand, PCA is known as an unsupervised dimensionality reduction technique which transfers the data linearly and projects original data to a new set of parameters called the factors, while retaining as much as possible of the variation present in the data set.
So the first step in the synthesis of data comparison is dimensionless processing to the indicator's data.
The inverse indicator of the power plant data is shown in Table.2.
In our case study, we used five thermal power plant data; by means of PCA, we have got only ten factors that concentrate more than 60% of the information provided by the original five thermal power plant.

The synthesis processing of ZrB2 powders includes neutralizing precipitation and carborthermal reduction boronization.
In the present work, ZrB2 powders were synthesized based on the following carborthermal reduction boronization reaction (1) ZrO2 + 0.5B4C + 1.5C = ZrB2 + 2CO (g) (1) According to the thermodynamic data, we can calculate out the enthalpy of reaction (1) at standard condition to be ∆H298 = 589.568 kJ, indicating reaction (1) to be an endothermic reaction (thermodynamic data obtained from Ref.10).
This is due to incompletion of the carborthermal reduction boronization reaction at 1500o C.
Surface area (BET) was estimated using adsorption data in a relative pressure range from 0.05 to 0.1, and the result was shown in Table 1.
Hu: Handbook of Thermodynamic Data of Inorganics (Metallurgical Industry Publications, China, 2002,2nd edition) [11] H.

The application of storage tanks and other reduction facilities has play a key role in reducing first flush pollution.
It can also provide reference to the pre-construction and later running or related assessment standards of the initial rainwater reduction facilities.
What’s more, the basic data or information should be ready to be provided by the evaluation object part.
Collect and verify basic information In general, the basic information based on evaluation program could be collected by historical data or questionnaires and symposium, and then the evaluation team should verify it to make sure the basic information is real and effective.
Conclusions The application of storage tanks and other reduction facilities have been proved an effective way to reduce the urban initial rainwater pollution.

In order to test the effect of fast algorithm, the paper used several groups of data sets for comparison experiment.
The data sets used as shown in Table 1.
Fast Reduction Results.
The data in the decision table after making attribute reduction is used as three layer BP network training samples to train.
In Chinese [13] Jensen R,Shen Q.Semantics-preserving dimensionality reduction:rough and fuzzy- rough-based approaches.IEEE Transaction on Konowledge and Data Engineering,2004,16-(12):1457-1471