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This paper’s modifies and development based on Tapio model, analysis the energy consumption, carbon emissions and economic growth from the elasticity of factor decomposition, then the analysis and evaluation of the factors influence will be conduct, which contribute to the continued decoupling and choice of industrial low-carbon path of the powerful data support and advice.
The reference data for discharge coefficient of energy carbon refer the NDRC
According to the existing research results, constructed the following function: (7) (DEi=DEeg, DEcg, DEht; any of indexes are greater than zero) Example Analysis Data Preparation.
This study depends on the publication data from China Statistical Yearbook, China high-tech, Tianjin statistical yearbook issues 2000 and 2011.
Emissions influence power presents two grade, the first: 2001emissions decoupling influence is negative, in this phase the emission reduction implementation effect isn’t obvious; After 2001 decoupling influence tends to be stable, Tianjin’s emission reduction have been advancing steadily, but the influence is still weak.It shows that energy saving and emission reduction level of Tianjin is not good enough, lack of contribution.Compared with the former, industry cluster decoupling influence power was more stable and more contribution. 

According to the data, the maximum input acceleration of shaking table is 790.332gal, while the output acceleration of concrete slab is 563.61gal, reducing by 28.69%.
It is shown by the data that the creeping energy dissipation of gravel layer occupies 92.56% of the total seismic energy, and the frictional dissipation merely takes up 7.44%.
Fig. 11 is the relation chart of seismic energy, frictional energy dissipation and creeping energy dissipation under the same operating condition. t is shown by the data that the creeping energy dissipation of gravel layer occupies 92% of the total seismic energy, and the frictional dissipation amounts to 8%.
As shown by the data and figures above, for buildings and structures under the action of earthquake, sliding friction can effectively dissipate the seismic energy.
[2] Zhou Fulin, Seismic Reduction Control of Engineering Structures [M].

In connection with it, it is necessary to introduce new technological decisions, efficient pollution control facilities directed on reduction of emissions on the environment and human health.
According to the data of inventory of sources of emission on the given enterprise there are 64 heating houses distributed all over the town in which 208 boilers with the power up to 30 Gcal/hour operate.
Wind speeds were sorted from 0.5 m/sec. to the wind speed, excess frequency of which is 5% according to perennial data for the given location.
Meteorological characteristics and coefficients that determine conditions of dispersion of pollutants in the atmosphere in the region of location of enterprises were established according to publicly-published climatic data [4].
All heating houses belong to the third category for which the working-out of measures on emission reduction is not required.

The theoretical argument is supported by experimental results from synthetic and real data sets.
Introduction It is difficult to apply high dimensional data directly to classification algorithms because of the so-called dimensionality curse [1].
The embedding results of each high-dimensional data point are shown in Fig. 1(b), the projections of the high dimensional data, and are, and, respectively, in the low dimensional space.
Related works Locally linear embedding The LLE algorithm assumes that each data point is represented as a weighted linear combination of its neighbors.
The effectiveness of the proposed criterion has been experimentally confirmed by its outstanding performance on a series of benchmark data sets.

A new method is proposed which use optimization modules of finite element established by Ansys Parametric Design Language program to inverse rock mechanics parameters of surrounding rock with the logging data of casing deformation.
The method makes it possible to inverse rock mechanics parameters in the formation where the data of rock mechanics parameters measured are scarce and is more efficient than the traditional method.
The lack of the data of formation where casing deformation exists and the changes of mechanics parameters of rocks which make the casing pipes deformed lead to unreliable workover operations.
There are surely differences between the measured data and simulation results.
The results correspond to the in situ data in zhongyuan oilfield, which prove the feasibility of inversion.

A statistical analysis of St 37-3 steel de-oxidation data was performed with the aim of improving the efficiency of steel de-oxidation technology in a ladle.
The averaged production data for the production of steel St 37-3 are presented in Table 1.
The quantitative effect of metal temperature on the assimilation of deoxidizing agents can be estimated from the data in Fig. 2.
From the data presented in Figure 2, it follows that an increase in metal overheating impairs the assimilation of silicon and manganese at any level of metal oxidation.
The data in Figure 2 confirm the earlier conclusions about the adverse effect of metal oxidation on the efficiency of deoxidation.

Mining partial orders from sequence data is an important data mining task with broad applications.
Particularly, [7] worked on sequence data and investigated the problem of mining a small set of partial orders globally fitting data best.
Different from our work, they tried to find some partial order that fit the whole data set, assuming that the whole data set somehow follows a global order.
Data Eng.
Data Mining, Apr. 2005

Also, the increase of the chamfer angle has a small influence on the maximum contact pressures, although that could be also dependent on the reduction of the polyethylene thickness.
In accordance with Wolff’s law, the reduction of the mechanical stimuli of the bone relative to the natural situation causes bone to adapt itself by reducing its mass in a process of resorption around the implant leading to micro-motions and subsequent implant loosening [5].
There is still not enough data to support the hypothesis that the mechanical properties of the liner material influences periprosthetic bone remodeling [6].
The loading data used in the simulation, such as the magnitude and orientation of the resultant force, were taken from Bergman’s data, whose study was based on the maximum dynamic hip joint force applied to an instrumented prosthesis on the femoral head [7].
Also, the increase of the chamfer angle has a small influence on the maximum contact pressures, although that could be also dependent on the reduction of the polyethylene thickness.

Data will be presented from the undamaged specimens.
These methods compare the eigenvalues and eigenvectors calculated with, let's say, a finite element model with measured data.
This data are used both as reference figures and to develop a most accurate finite element model.
Obtain a reduction-expansion matrix in order to expand measured data and error vector to the size of the FEM model, in order to represent them on the model, to make a friendly interpretation of mode shapes and damage location. 2.
This data are used both as reference figures and to develop a most accurate finite element model.

Shear strength reduction approach is applied to evaluate stability of rock slope and calculate safety factor of sliding surface.
For example, input parameters are not usually measured and availability of these data is generally poor.
The factor of safety in case of slope stability analysis by strength reduction method may be defined as the ratio of the resisting shear strength of the material to the driving shear stress developed along the failure plane.
In order to evaluate the factor of safety, finite element method is applied by combining with shear strength reduction approach.