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The advantage of the IDA is that it can readily be applied to any available data at any level of aggregation[9].
(Data resources: ASREC[4]) The article is organized as follows.
Section 2 describes the LMDI I method and the data used.
Methodology and data Principle and basic model.
Taking into account the availability and consistency of data and the detailed classification of industrial sub-sectors, the data, spanning from 2001 to 2009 used in this study, were taken from various issues of ASREC[4] and CSY[22].

Map Management Subsystem.The data of Langfang updated frequently, such as mobility, transformation of basic design, equipment updates and other data needed to update.
The map of Langfang EDPS Data Conversion Subsystem.In the spatial databases, most data came from document data (including WORD, EXCEL and text data), and the size of file had hundreds of MB, millions of data.
It could make all the document data that could be automatically converted, added data validation function and ensured data accuracy.
We used cluster analysis method to analysis the text data.
The system could provide technical support for earthquake prevention and disaster reduction.

Obtained result show a reduction in the performance of journal bearings when the thermal effects are accounted for and, this reduction is greater when the load capacity is significant.
Their low cost, the absence of external oil feeding and space reduction, makes them competitive compared to conventional bearings.
These studies showed a progressive reduction in the load capacity and an increase in the friction parameter and attitude angle as the permeability parameter was increased.
Experimental data used are those of the bearing of Mokhtar et al. [11] (the inlet groove is located at α = 0, R/L = 0.2878, radial clearance C = 82.5 µm, rotation speed 720 rpm, permeability K = 1.5 10-13 m²).
In the comparison between hydrodynamic and the thermo-hydrodynamic aspect, we noted significant reduction of the dimensionless pressure film, they are evident because the viscous forces decrease when the temperature increases.

A reduction of the interface defects correlates with an improvement of the crystal structure of the ZnO film with a preferred orientation along the c-axis.
However, heat treatment at 500�C results in a reduction of the (002) peak, which indicate a degradation of the crystal orientation along the c-axis.
Annealing at 500�C results in a degradation of the Schottky behavior with a reduction of the rectification and an increase of the series resistance (∼45kΩ).
For ZnO/p-Si samples (Fig. 2b), the heat treatment causes a reduction of the rectifying behavior and treatment above 300�C results in an Ohmic behavior.
A clear relation exists between the I-V measurements and the DLTS data, where the reduction of E(0.07) correlates with the improvement of the Schottky behavior.

All the data obtained with this thermal device were digitally processed in order to extract the two TG and DTA curves.
Heating device Furnaces 1000oC Data acquisition system Computer Thermocouples 1500oC Nitrogen Fig. 1 Heating device for determining the barium monoferrite pyrosynthesis temperatures Each green sample was placed in a refractory crucible.
The data acquisition system takes the digital quantities into the computer and records seven curves in a single file, as it can be seen in Fig. 2.
Fig. 2 Recorded data during heating of Fe2O3+BaCO3 sample The recorded data were digitally processed in order to extract the two TG and DTA curves and identify the pyrosynthesis thermal range of the compound.
From the data obtained in the particle size analysis, it can be concluded that the iron oxides used in the experiments have particles in the micro domain, but also particles at the nano range limit.

All the compounds did not influence heart rate of the rats (data not shown).
The data points represent mean values ± S.E.M.
All the compounds did not influence heart rate of the rats (data not shown).
Fig.4 Reduction of mean blood pressure in renal hypertensive rats.
The data points represent mean values ± S.E.M.

In order to perform the parametric study, previously tested data was evaluated with analysis results.
Collected data is performed by Ashour et al[2].
The main variable of test data is compressive strength of concrete and volume fraction of fiber.
Because test data were illustrated with load-deflection relation, analysis method that convert displacement ductility index to curvature ductility index was used.
(a) NSC (a) NSC (a) NSC (b) UHPC (b) UHPC (b) UHPC Fig. 5 M-φ relation according to the inclusion of steel fiber Fig. 6 Ductility Index Reduction according to Fig. 7 Ductility Index Reduction according to Summary.

The reliability of both acquired displacement data and their subsequent processing was verified through some preliminary analyses.
Firstly, data were processed to restore the fluctuation of measurements around a mean value equal to zero (linear-base correction).
Furthermore, an additional comparison of these data in the frequency domain confirmed their complete agreement.
The limited deviation of these results verified the reliability of data and confirms that any relevant information was lost.
The overall behaviour of each storey was considered equal to that represented by data obtained at the corresponding floor level.

This study analyzed the relationship between GDP increasing and total energy consumption using co-integration method based on 20 sets of annual data during 1992-2011 in Qinghai province.
So energy conservation and emissions reduction are grim.
By far, study about the relationship between Qinghai economic growth and energy consumption of the related research was not much, therefore, this study analysis the relationship between the GDP and total energy consumption of Qinghai province based on 20 groups of Qinghai province between 1992 and 2011 annual data by using co integration.
The Fig.1 Growth rate of energy consumption and GDP and elasticity ratio of energy consumption of China and Qinghai province from 1992 to 2011 trend line estimates of with the corresponding higher fitting degree between the actual data.
Empirical analysis 2.1 The selection of variables and data Data range was from 1992 to 2011(Fig.3), the total energy consumption was a mathematical measure, and unit was tce, GDP are calculated at current prices.

Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=3 cm).
Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=4 cm).
Vibration amplitude data in X (Red) Y (Green) Z(Blue) axis(at l=5 cm).
Vibration amplitude data in X(Red) Y(Green) Z(Blue) axis(at l=6 cm).
Vibration amplitude data in X (Red) Y (Green) Z(Blue) axis(at l=7cm).