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Having available the data provided by the pollution diagnosis, it is possible to assess the risk that the investigated pollution represents for the people on the site and for the natural environment.
The processing of the data obtained from the experimental determinations allowed obtaining qualitative and quantitative information related to the decontamination speed depending on the nature of the soil, the nature and concentration of the pollutant and the temperature of the decontamination air.
The processing of data obtained from experimental determinations allows obtaining qualitative and quantitative information related to the decontamination speed depending on the nature of the soil, the nature and concentration of the pollutant and the temperature of the decontamination air.
The processing of data obtained from experimental determinations allows obtaining qualitative and quantitative information related to the decontamination speed depending on the nature of the soil, the nature and concentration of the pollutant and the temperature of the decontamination air.
Starting from the same initial data (initial mass of the sample m0 = 50g; pollutant concentration cp = 20%; tair = 20 ÷ 25oC), the results showed a degree of depollution with approximately equal values.

Study on a New Extraction Method of Statistical Information of Urban Buildings Based on High Resolution Remote Sensing Images in Earthquake Damage Prediction Yongmei Zhai 1, a, QiZhao2,b ,Tiezheng Li 2,c 1 Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai, 200092, PR China 2 Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai, 200092, PR China azymww@tongji.edu.cn, bcvzhao@yahoo.com.cn, clitezeung@163.com Keywords: High resolution remote sensing image, Extraction of building information, Story number, Site area, Floor area Abstract.
This paper presents a new practical method to extract statistical information of urban buildings through rotating high resolution remote sensing images and scanning the pixels, and then compares the data from high resolution remote sensing images with measured data to verify the precision of the method.
The software used in this article to extract the site area is feature extraction module of ENVI, which extracts information according to space and spectral characteristics in a flow procedure from high resolution panchromatic data or multispectral data.

Many data need to be processed before the pictures are displayed.
Source code of the program is the input of the profiler with the input data.
Profiler is used to analyze the source code to find out the use frequency of the different parts of the data and code.
Before they are in scratchpads, they are in main memory and taken as the common data or code.
Generally, the data and code are placed in main memory.

Its core lies in fitting evaluation the implicit prices of each property through the market transaction data and establish the response function model of price and the relationship between each attribute.
In model (1) and (2), eta direct responses the size of house price appreciation when distance nearly one meter, and in model (3), the added value when distance nearly one meter is multiply house prices by eta [4]. 3 An Empirical Study 3.1 Data Acquisition.
Sample size amounted to 50, and ultimately into the model sample for 40, and the data are basically the same point, time sensitive. 3.2 Quantitative Data.
Because the distance here is the actual data, the distance here was each reduced by 1 meter; its value can be increased by 0.1%.If other characteristics are constant, the closer distance the higher housing price.
The impact of the distance loss(y) to the house prices can be expressed by, in the formula, x stand for the original distance; y is the distance reduction.

The mathematical formula description of model GM(1,1) is as follows: Suppose there is a non-negative original data sequence with the variable .
The smaller C is, the smaller S2 is, the greater S1 is, that means the original data variance is large, the residual is concentrated, the swing range is small.
The more dispersive the original data is, the greater the swing range is.
Chose the previous duration of similar projects as references and make them a data sequence.
Use the data sequence as the original data sequence of predictive coupled task set T.

In contrast with PCA, independent component analysis (ICA) employs higher-order statistics (HOS) and exploits inherently non-Gaussian features of the data.
Kurtosis is a common and widely used to estimate the PDF of EMG which is based on the fourth moment of the data (i.e., HOS).
All EMG data were measured by an EMG measurement system (Mobi6-6b, TMS International B.V.) with a gain of 19.5x and a sampling rate of 1024 Hz.
Normalized EMG data (x) with zero mean and unit variance were used for all calculations.
Limsakul, Feature reduction and selection for EMG signal classification, Expert Sys.

All the experimentally obtained data has been used to build up numerical models for adjacent welding simulation.
The material data deposited in the used software do not take into account temperature dependent mechanical and thermal properties.
The data set is bounded below to room temperature.
Measurement data obtained from experiments have been used for numerical model validation.
The calculated welding residual stresses have been compared to experimentally obtained data from X-ray diffraction.

(2) Let r(i) to express the No.i receiving data block vector,v= [v0,v1,…,v(Nb-1)]Tshowed noise vector, then after passing the channels, we haveri=H0si+H1si-1+v LetN×1 dimensional vectory(i) to express the No. i data block after canceling CP, that is yi=RCPri=RCPH0TCPxi+RCPH1TCPxi-1+v
(4) According to the theoretical knowledge of matrix, cyclic matrix can be diagonal zed with the Fourier transformation matrix, that was H=FH⋀F. (5) Did FFT operation of N points with data block after canceling CP, which is equivalent to multiply F in the left of the both ends of formula (4), which is Yi=Fy(i). (6) WhereYi=[YiN,YiN+1,…,Y(iN+N-1)]Tis the No. idimensional vector of the output of FFT module, plug formula (4) and (5) into formula (6), we have: Yi=FHxi+Fv=⋀Fxi+Fv. (7) LetXi≝FxiXiN,XiN+1,…,XiN+N-1T. (8) to be thedimensional frequency vector after N point FFT transformation from No.i data symbol vector.
Hereinto cyclic prefixis added in single carrier modulation as the previous section described, and theauxiliary data block is introduced for channel estimation in receiver to get excitation functionΦn.
We extract auxiliary data block to do channel estimation and obtain excitation function set[Φ1,…,Φn]T.
This system optimizes the existing single carrier system from the two aspects of signal transfer principle as well as math model reduction, we also overcome the multipath fading effectively and improves transferring efficiency.

The diffusivity data from this work are lower than those obtained from the extrapolation of Fe/Pt bulk diffusion couples experiment [3] and those from Fe/Pt bilayers [14].
Figure 5 (b) shows comparison of our data with others' work.
It was found that our diffusivity data are very similar to the Co/Pt epitaxial thin films data.
Temperature dependence of interdiffusion coefficients in Fe-Pt alloy systems in comparison with previous data in (a) Fe-Pt and (b) other thin film systems.
Q and D0 in Fe/Pt thin film in comparison with previous data in other systems.

Enterprises is burdening with shortening time to market, strict quality requirement, cost reduction and service improvement.
Database management: Data storage and management.
At the same time, the safety mechanic must guarantee the safety of the applications and the data.
The Meta data in the UML model is transformed to XML DTD, the advantage of DTD separating from XML file is that DTD file can be stored locally, so only XML file need to be transmitted for data exchange, which shorten the transmission time evidently.
The Meta data in the UML model can be interpreted to XML-compatible format, so as to establish a standard transmission mechanics among knowledge base, middle ware and tools.