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The methods for recovery metals from the wastewater include chemical precipitation, electrolytic reduction, membrane technology, ion exchange and adsorption [2].
Fig. 5 Effect of initial concentration on the removal efficiency The equilibrium adsorption isotherm is one of the most valuable data to research the mechanism of adsorption.
Table1 Isothermal adsorption model Ion Langmuir Freundlich Qmax (mg L-1) R2 KF (mg g-1) 1/n R2 Ag+ 4.2599 0.9931 1.04 1.4257 0.9993 From table 1, we can know Freundlich isotherm model proved an excellent fit to the isotherm data, according to R2 values, which indicates that a multilayer adsorption process plays an important role in the whole process.
The Freundlich model gives an excellent fit of adsorption isotherm equilibrium data, which suggests that the most Ag+ adsorbed are multilayer arranged on the surface of vinasse.

Besides the product should meet the requirements about functional implementation, cost reduction, assemble and disassemble conveniences etc. there is a more important property a product should be monitored and controlled is its environmental impact.
Many companies and manufactory process researches also achieved many valuable data and experiences in the energy related practice process researches
And the different technical phrases have to be connected with the uniform data relationships expect for that of simple collaboration.
Fig.5 EFM application2: energy saving technological parameters optimization design Conclusions Take good use collaborative design network information and data science technology in energy footprint mapping frame methodology.

The speech signal is decomposed using EMD into the data adaptive bases up to the level of fundamental oscillations [3].
We can separate from the rest of the data by: (5) Note that the residue still contains some useful information.
Under certain statistical assumptions, soft thresholding can result in slightly greater noise reduction [4].
The noised experiment data is the pure speech signal in Figure 1 corrupted by white noise and SNR=7.5dB.

For the samples dried at 110oC/24hours, diffraction data were recorded with a RigakuMiniFlex with a fixed monocromator.
The collected data were compared with the 10-173 ICDD data from The International Centre for Diffraction Data® (ICDD®).
Data of the composite.
The Deflection Temperature data (HDT) shows that the addition of pseudoboehmite and octadecylamine promoted the increase in the HDT data.
The Melt Flow Rate Test data (Table 2) shows increased flowing properties of the composite.

The data at three special angles of RCS of the nine cars are given as Tale 1.
What’s more, RCS data change regularly with the body angles, and the changes are obvious.
The RCS data of A,B,SUV approach close, so we sort them into a type, called Ⅱranged from 20 to 32.The RCS data of minibus, light truck approach close, so we sort them into a type ,called Ⅲ ranged from 32 to 40.
Table 2 RCS data ranges of four car types [] vehicle type cars RCS trend RCS data range Ⅰ A0 increase by degrees [10,20） Ⅱ A,B,SUV [20,32） Ⅲ minibus, light truck [32,40） Ⅳ medium bus, motor bus, heavy truck [40,60） About the RCS data ranges, there must be something to add.
Moreover, if the RCS data of a car are boundary data, we acquiesce in that the car belongs to the next type to ensure safety.

Studies on stresses around hole-edge and comparisons with test values show that simulated results of xσ and yσ agree well with test data and the relative errors are no more than 15%.
Fig.1 Test principle Test Results Test data are shown in table 1.Least-squares fitting method is used to determine coefficient k .
Table 1. data from direct measurement and electric measurement methods Torque （Nm） Direct measurement Electric measurement k Pre-tightening force of force sensor[KN] pre-tightening strain[×10-6 ] pre-tightening force[KN] 0 0 0 0 Direct measurement: 0.1439 Electric measurement: 0.1472, correlation coefficient is 0.9984. 2 1.45 126 1.23 4 3.12 312 3.05 6 5.22 528 5.16 8 7.20 735 7.18 10 9.43 914 8.94 12 10.89 1001 9.78 14 12.58 1238 12.11 16 13.73 1379 13.49 18 16.05 1627 15.91 Test Conclusions (1) The relationship between pre-tightening torque and force is approximately linear.
The two groups of data are very close indicating credible test results
The main reason is that the reduction of pre-tightening torque coefficient increases pre-tightening force, causing higher interface pressure between bolt and connecting part and larger load component transmitted by friction.

Pseudo-second-order models fitted the experimental data well and kinetic parameters, rate constants, equilibrium sorption capacity and related correlation coefficients at various temperatures were calculated and discussed.
Current technologies utilized for the removal of heavy metals from water include chemical precipitation[4], ion exchange[5], flotation[6], electrochemical reduction[7], and membrane separation [8].
The adsorption isotherm data were further analyzed in terms of the Langmuir isotherm model.
Various parameters are calculated from Langmuir isotherm models and in all cases, high regression coefficient values of R2 > 0.99 were obtained, suggesting that Langmuir isotherms fitted well for the experimental data[16].
Shen, J Chem Eng Data Vol. 56(2011), p.444 [10] I.

And it can be used in national defense, disaster prevention and reduction and inertial navigation.
Smyder, 3-Dseismic;proven applications,data management options [J].World oil, 9(1996)

INTRODUCTION Experiment project is an applied methodology in several areas, aiming at the improvement of the productivity and the reduction of the variability, seeking to generate information to guide the decisions during the research and the development of new materials [1,2].
Taguchi’s method is defined by two important parameters: (a) reduction in the variability, on the other hand, the use of the Quality Engineering in the product or process representing continuous improvement and aiming at smaller loss for the society; (b) application of strategic planning in an appropriate way, with the aim of reducing variation, in a general way.
The data were analyzed using the STATISTICA program, version 6.0 for Windows.

Optical information processing systems have been widely applied, this paper studies the calculation of the amount of a reduction in the use of genetic algorithms to increase the diversity of the sample algorithm to reduce problems caused by the sample dilution with a resampling method, combined with the finite field resampling, resampling constitute a finite field of genetic algorithms.
Figure.2 DSP devices for optical information processing Completion signal processor and an external interface, the level adaptation, the data format conversion.
Central control system receives various control signals and transmission data, and converts it to a digital signal processing module adapted to receive the signal level of the data format, the transmission to the digital signal processing module.