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On this basis, the use of powerful GIS software for data acquisition and build library, display and editing, storage and management, spatial analysis, using the built-in VBA (Visual Basic for Application) platform for secondary development, customization and extension functions and development of landslide stability evaluation module, so as to realize disaster prediction, avoid people's life and property damage, the aftershocks, rainfall, and other areas more frequently has important practical significance.
Data and methods The research methods.Main research train of thought: the SRTM DEM data preprocessing, the spatial analysis function of ArcGIS to extract the elevation gradient, slope direction and derived data, such as basic attribute database is established.
Major stage of landslide stability analysis and comprehensive safety [D].Disaster prevention and reduction engineering and protective engineering, Chongqing traffic university, 2010, 1-80.

· The chip clock is up to 12MHz, speedy data processing.
Sometimes the image encoding compression technique is also used which can greatly reduce the amount of information, in order to achieve the reduction of the requirements of the computer storage capacity and the transmission channels.
Of course, the data and processes of the hardware of the processor are managed by the computer [5].
“Data image processing,”.
“The software achievement of data controlling functions of electricity machines ,”Shan Xi Machinery, pp. 14-15，Feb 2008 (references)

However, our data indicate that the Ga atoms are located preferably in the 4(b) (0,1/4,5/8) sites, contrary to the 8(d) occupation of the Si atoms in R(Fe,Si)11Cx [6].
From these data we determined the Curie temperature to be TC = 400 K.
A strong reduction of µFe in comparison with that for pure iron may be due to the electron transfer from Si or Ga atoms into the 3d-band.
It should be noted that Chang et al. analyzed the first-order field-induced magnetic phase transition in NdFe9Si2C1.5 and determined the value of K1 to be -8×107 erg/cm3 at 4 K [7], in reasonable agreement with our data on the Ga-containing compound.
Moreover, the room-temperature magnetization curves for PrFe9Si2C1.5 show the anisotropy field ~35 kOe [5] which is also very close to the data for our sample.

Thermogravimetry (TG) has been used to evaluate the activity of pozzolanic materials in mixtures with cement, by measuring the reduction of the residual content of the calcium hydroxide (RCCH) in the hydrated mixtures caused by the pozzolanic material presence [6,7,8].
Thermogravimetric data on calcined cement mass basis Calcined cement mass basis was applied to thermogravimetric analysis (TG) data of the hydrated cement pastes to calculate and to compare on a same basis, the mass losses due to dehydration or decomposition steps of the main phases of the hydrated samples.
Figure 6 shows the different DTG sample thermal analysis data corresponding to the several steps of water release, on the respective cement calcined mass basis and not on the respective initial mass basis of the sample, as usually are given and plotted by default the analysis data, as shown in Figure 5.

Data from runs was considered to be completed until the COS exit concentration was 10 mg/m3.
The main reason is higher temperatures maybe detrimentally affects the reaction of COS because Fe2O3 or Fe3O4 is reduced to FeO in a stronger reduction atmosphere at high temperature.
Figure 3 shows it is the same to analyse of kinetic data in the kinetic model of shrinking core reaction or in the modified kinetic model of shrinking core reaction.
Fig.3 Fitting curves of COS conversion versus time for desulfurizer using different kinetic models(■: data; —: retract model; - - -: improved retract model) Reaction Activation Energy in Syngas.
According to data of COS in the same concentration under different temperatures, reaction activation energy Ea and pre-exponential factor k0 can be calculated

Yanjun Qi (2009) also constructed such an evaluation index system referring to the energy-saving and emission-reduction experience in the petrochemical enterprise.
However, due to different data sources, different indexes should have different methods to determine their reference values.
In this paper, the reference value is obtained by analysis and compare of the average evaluation reference data of the most advanced chemical enterprises in 2009 and the evaluation standard for clean production.
Table 1 listed the evaluation reference data.
The data used in this paper was referring to its annual report in 2009, which is shown in Table 3.

Sheets were cold rolled to 80% thickness reduction and annealed until primary recrystallization completion to produce the starting materials.
The harmonic method was applied to compute Orientation Distribution Functions (ODFs) from both global and individual orientation data.
Grain size based partial textures (b-c) were obtained from EBSD measurements by selecting only the orientation data of the largest or smallest grains, corresponding, in both cases, to a 15% surface fraction of the original EBSD map.
The global texture (5a, same as 4a) was calculated from the whole data set.
A detailed analysis of EBSD data has shown that the large grains growing abnormally are oriented close to that component, which is consistent with the fine peaks of high intensity recorded in the central area of the {00.2} X-ray diffraction pole figures. 4.

Sample The materiel studied was commercial purity aluminium AA1050 (99.5%) cold rolled to 38% thickness reduction in one pass.
Data analysis A non-overlapping spot on the detector will be located on the same pixel independent of position within the (y,z)-translation grid.
(b) the entire image recorded by the CCD-camera. 4 Title of Publication (to be inserted by the publisher) By summing the intensities in the Debye-Scherrer rings and comparing the result with the outcome of a similar analysis of the data originating from the calibration sample the thickness of the illuminated sample was estimated to be 80 µm ± 20 µm.
Following the described data analysis nine spots were found to fulfill the validation criteria.
In the present set of data the smallest subgrain grows and the second largest subgrain shrinks.

Experiments In the new experiments, a polycrystalline block of 99.995 % pure copper with a grain size of 35 µ was cold-rolled to a reduction in thickness of 92 %.
An example of the data and analysis from one of the grains is shown in Fig. 1.
The grain number Four data shown in Fig. 2 was anomalous in that there did not appear to be a rate change when the temperature was raised from 150° C to 160° C and all growth ceased before the temperature was lowered back to 150° C.
To analyze the data for all eight grains in more detail, the various growth regimes were fitted to an equation of the form r = A t−τ( ) 1−α( ) (3) where r is the spherical equivalent radius, t is the annealing time, τ is the nucleation time and A and α are fitting constants to be determined by least-squares analysis.
Unfortunately there were only very limited results that could be obtained from a data analysis at the second temperature change (from 160° C back to 150° C).

KT5A/P Hall current sensor collects three-phase current signals of spindle motor which was transferred to industrial control computer by NI6013 A/D data acquisition card.
Industrial control computers analysis and process the real-time data, connected with Single Chip Microcomputer (SCM) for serial communication to control SCM.
Table 1 presents part data of spindle current.
Table 1 Current of Spindle of One Bit (partial data) Drilling times First Phase (/mv) Second Phase (/mv) Second Phase (/mv) 1 8.665 6.432 7.456 5 8.775 7.135 8.461 10 9.251 6.892 7.957 15 9.125 7.718 8.324 20 9.245 8.231 8.039 25 9.175 8.471 8.172 30 10.151 9.450 9.372 Fig1 Experiment System of Micro-drilling on-line Monitoring Fuzzy Control Model of Drill Wear Based on Genetic Algorithm Fuzzy control model of drill wear was setted up with MATLAB, input parameters of fuzzy controller are three-phase currents of spindle motor, and output parameter is bit wear value.
Experimental results show that the fuzzy controller optimized by genetic algorithm could improve the drilling process performance and reduction of production costs by maximizing the use of drill life and preventing drills failures.