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Data description.
The data is also restricted by statistics of energy in 2007, which was compiled by the NBS.
The only problem is the statistic of sectors in IO table and the data base do not match.
So we calculated the growth rate of exports and imports of each sector based on OECD data.
We can find another way to estimate the data.

G-f data is collected at several depletion biases near flatband.
The G-f data is then converted to GP/ω to isolate the conductance strictly due to the interface traps [10].
At 175°C, the t50 data extrapolates back to well over 100 years at 3 MV/cm.
TDDB data for nitrided thermal oxides on 4H-SiC indicating >100 years reliability up to 300ºC.
Also, MOSFET data matches MOS-C data at 175°C.

The implementation of data mining software into a company’s intranet or a web search engine is no longer a problem due to rising software performance.
In the vision of CPPS data access will be possible in real time and with high resolution.
According to Hilbert, the data processing performance of hardware devices pH is growing with a yearly rate of 8%.
Further, the performance growth of data compression capabilities of new software pS is growing with a rate of 11% per year.
· fSS: the utilised ERP-System does not allow the integration of data which is generated with isolated software applications by employees in different departments

The academic novelty of the work consists in identifying the regulations in the influence of PFM, obtained on the basis of resorcinol-formaldehyde oligomers, on the strength reduction of concretes in biologically aggressive media, which consists in the peptizing action of PFM and finely-crystalline structure formation, which contributes to cement stone compaction and reduction of micro-cracks inside concrete and on its surface.
The analysis of the obtained data (Tab.1) has demonstrated that the fungi-resistance of concretes under study is greatly influenced by the age and porosity of samples, as well as by alkalinity of medium.
Analyzing the strength properties alteration dynamics of samples (Fig. 1,2), we can see that in the initial period (1–7 months) the inoculated samples are characterized with a certain strength enhancement, but then (8–12 month) the strength reduction is observed, especially for samples LC-4 and HC-4.
The peptizing action of SP SB-3 results in the formation of more finely-crystalline structure, which contributes to cement stone compaction and reduction of micro-cracks inside concrete and on its surface.
The strength characteristics of the cement stone with the researched modifiers are not reduced at mold fungi spores’ contamination, but, on the contrary, slightly increase due to the increase of cement paste fluidity, decrease of W/C ratio, reduction of micro-cracks in concrete and compaction of its structure.

Eight methods have been developed and contrasted with each other for filtering LiDAR (Light Detection and Ranging) data.
In the second part (section 3) describes characteristics of 15 sample data sets.
The preliminary test results of samples data are presented in the third part (section 4).
Methodology Data preparing.
The study site8 was excluded in this research because no ground-truth data was available.

(Fig.1a) shows the relevant data based on data charts,We can see the distribution of a large range of energy efficiency test data, the uneven quality of Chinese product manufacturers, the majority of air-cooled air conditioning energy efficiency of 3.0 or less, significantly lower than that of Europe, Japan.
According to the measured data,we can calculate the SEER with the Eq. 1 ,Eq.2 and Eq.3.
According to Chinese meteorological data, we can find the part of the city's SEER value(see Fig.1b).
Analysis of experimental data.
The efficiency analysis of chillers Number EER SEER（spring） IPLV Effect 1# 4.10 4.30 4.90 2# 4.30 4.50 5.20 4.48% Conclusion Acording to analysis of statistical data and test data of Chinese relevant products, the energy efficiency of Chinese air-conditioned have great space for improvement.

In addition, the use of a disk laser allows to obtain significant reduction in focus diameter and increased beam quality compared to traditional rod or slab lasers.
Technical data of the welding system, which consists of a 6-axis robot and optics, are listed in Table 1.
Table 1: Welding system technical data Maximum output power [kW] 2.0 Laser light wavelength [nm] 1030 Beam Parameter Product [mm × mrad] 8.0 Focus diameter [μm] 300 Focal length [mm] 200 Maximum energy density [kW/mm2] 28.3 Table 2: Nominal chemical composition of AA 2024 (wt.%) Si Fe Cu Mn Mg Cr Zn Ti Al 0.50 0.50 3.80 ÷ 4.90 0.30 ÷ 0.90 1.20 ÷ 1.80 0.1 0.25 0.15 Bal.
Table 3: Parameters and average data of BOP beads Thermal input [J/mm] Power [kW] Welding rate [mm/s] Penetration depth [mm] Porosity content [%] 200 1300 6.50 1.71 1.59 200 1400 7.00 2.63 4.93 200 1600 8.00 3.20 1.10 200 1800 9.00 3.20 0.00 160 1300 8.13 1.75 0.36 160 1400 8.75 2.10 0.80 160 1600 10.0 3.20 5.21 160 1800 11.3 3.20 0.23 Figure 3: Penetration depth and porosity content as a function of power for given thermal inputs Parameters and average data of the beads are listed in Table 3.
Peix: Reduction of porosity content generated during Nd:YAG laser welding of A356 and AA5083 aluminium alloys, Materials Science and Engineering A, Volume 363 (2003), pp. 40-52

The earthquake emergency rescue work aiming to minimize casualties and property losses caused by the earthquake and maintain social stability plays an important role in earthquake prevention and disaster reduction.
With 2D GIS data model and structural theory and technology mature, further development of graphic theory, database theoretical technology and computer virtual reality technology, and strong promotion of the applicative demand, the emergence and development of 3D GIS have become possible [3].
Considering practicability and diversity of the channels of getting remote sensing data, this paper uses the OpenGL technology as the main implemental platform and develops this system under the C/S mode.
The data of this system can be managed by combining Oracle database and file; the effect analysis of the earthquake emergency rescue action and marking the targets can be realized in 3D system; in order to improve the display performance of the 3D geographic scene, the 3D GIS marking function can be developed by directly applying the OpenGL which is relatively outstanding in this field.
Fig.1 Architecture design Function Design. 3D earthquake marking system function includes basic terrain generation, DEM data consolidation, 3D visualization of sky and sea / river, setting location of sun / lighting, 3D scene map operations, managing 3D model library and adding 3D objects, flight and roaming, saving 3D geographic scene and setting effects of 3D geographic scene.

(a) (b) (� : 2mm thick experimental data, � : 3mm thick experimental data, � : 4mm thick experimental data, � : 8mm thick experimental data) Fig. 2 (a) Comparison of fiber volume fraction versus specimen thickness (Unidirectional ([04]ns) - T800/924C laminates), (b)Variation of longitudinal compressive strength with initial fibre waviness for a T800/924C unidirectional laminates�� � Fiber waviness is a manufacturing defect caused by the manufacturing technique used such as filament winding, weaving, braiding, etc.
Average failure strengths of the specimens decreased with increasing specimen thickness from 2[mm] to 8[mm] with the T800/924C system (36[%] strength reduction) and specimen volumes from scaling factor 1 to scaling factor 4 with the IM7/8552 system (46[%] strength reduction).

This theory while maintaining the original decision table without changing the classification ability, through knowledge reduction, value reduction, export classification decision tables and decision rules.
It is a mathematical tools to deal with the information and knowledge use the way of quantitative analysis to process the data of imprecise, inconsistent, incomplete.
Data preprocessing For the attribute set, we can get the importance of the classification for attributes subset, then get the both dependence. is mean we  classified the object, to remove some attributes subsetfrom set , then we can get the Influence.Fig 1 shows us the knowledge representation system.
That the weights have different sensitivity on the environmental.In the Rough set theory, attribute importance reflects of the impact on the current data on the environmental attributes decision.
The rough set theory to determine the importance of property is a manifestation the objective existence relative importance (which is objective existence) of large amount of historical data for each attribute.