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Bed Depth Service Time (BDST) model was applied to analyze the experimental data and the model parameters were evaluated.
Various treatment techniques have been employed to eliminate or recycled heavy metal including chemical precipitation, ion exchange, filtration, reduction, reverse osmosis and adsorption by activated carbon.
At least nine individual column tests must be conducted to collect the laboratory data required for the original Bohart–Adams approach, an expensive and timeconsuming task.
With the modified Bohart–Adams equation [13], it is necessary to have only threefixed bed tests to collect the necessary data instead of nine.
In order to develop a BDST relation, the data of breakthrough curves plotted for different bed depths by recording the operating time to reach a certain removal at each bed depth.

Comparisons between the experimental data and the numerical data showed that characteristics of the small jet flame structure and temperature field were in good agreement.
Flame width increases so that the flame front increase in size [10].The larger volume of the flame front compensates for the reduction of the chemical reaction rate at zero gravity level.
The data from the micro flame shape, temperature field, velocity field, the chemical reaction rate and mass fraction distribution of the small jet flame structure was analyzed.

We remove the information redundancy and compress the message data in order to cause the information more convenient to transmit and store, according to the information relevance. [1]That is very essential.
Therefore, the people attribute the visual data by the region which the outline and the texture define.
The human eye visual characteristic will strengthen certain visual data, but neglects certain to the visual effect immaterial information.
The primary data after sampling and quantification must make every effort to transform conforms to the human eye visual characteristic attribute way, once obtained these regions, is belongs identical visual object each region to connect. [2]This attribute way not only may realize to the video data highly effective compression, also to realize object-oriented, region some new functions to pave the way.
FIRtree is the special single instruction multi-data stream form high speed media processing expansion language.

The output of BP network is data of error compensation of 6 objects in 3D space on machine tools.
The measurement of thermal error compensation of a NC machine tool is got on the HMC800A type three-axis vertical machining center made in China. 572 group data is used as a sample data of error compensation of a NC machine tool.
Data compression and feature extraction is based on rough sets and principal component analysis.
The output of BP network is data of error compensation on machine tools.
Over 90% of the data displacement of positioning error compensated is consistent with the requirements of error compensation on a machine tool.

Evaluation method selection For the shallow groundwater quality evaluation, the relevant amount of data is quite huge and the distribution shows discrete points from the sampling data, so many elements are difficult to be controlled and evaluated.
This thesis chose the best representative R-type factor analysis and analyzed the common and specific factors based on the sample observation data in order to further study the correlation among the variables.
Establishment of evaluation models The R-type factor analysis is performed with shallow groundwater environment geochemical survey data in the targeted district as example.
There are 35 samples in total related to the shallow groundwater data with 16 characteristic variables (indexes) extracted from each sample.
The data normalization formula (k=1,2…,12; i=1,2,…,10) is used to normalize the original data, among which , , (i=1,2,…,10) Calculate the coefficient related to such 10 variables according to the standard matrix gained, that is , (i,j=1,2,…,10) (2) So the correlation coefficient matrix is, and for the results with sampling data, see Table 2.

The data interface layer supports data persistent, maintenance data and business rules, and support outer interfaces to communicate and share data with other systems inside the same smart utilize district.
In data interface layer, all business objects are modeled with a group of model objects, which is mapped into relation data by Hibernate framework.
Spring framework integrates business logics, underlying services and data access objects.
All the business information collected by network probes will be gathered at information collection server and summed at data interface layer.
All data will be collected by different kinds of sensors and transformed to different events.

A.Virtual slice abstractions In this paper, the virtual slice shall be achieved through 3d geometry transform for the medical graphic data.
Firstly perform the 3d reconstruction for the sequence medical graph to achieve data, and then carry out the following transformation matrix R to achieve the geometric transformation of three-dimensional data
（5） As for the rotation sub-matrix in a transformation matrix , the form of rotating around x，y，z axis are separately: （6） （7） （8） The coronal view virtual slice shall be achieved through rotating the graphic data by 90 degrees around x axis and then the desired meridional virtual slice shall be achieved through rotating the coronal view virtual slice data around y axis.
Specially, the sagittal view virtual slice shall be achieved through rotating the coronal view virtual slice data around y axis by 90 degrees.
Conduct three-dimensional segmentation to data in table 1 on PC computer with configuration of Windows XP SP2，Intel Core2 2.0G，2G DDR2.

The work of adhesion, the total surface energy, and its polar and dispersion terms calculated from these data are also given in this table.
These results agree with the ESCA data for FEP films presented in Table 2.
The similar data were received for PTFE and PVDF films.
These results are consistent with the data [18] obtained in the study of the effect of a remote oxygen RF plasma on FEP films.
XPS data for the surface of the initial FEP film and the film treated in dc discharge (50 mA, 60 s).

The experiment was repeated for five times for data accuracy and reliability.
The cost of biomass and addictive (in Thailand) Material Cost Dolomite 0.1 USD / kg Cassava rhizhome 0.03 USD / kg The experimental data were analyzed from the repeating of the experiment and showed as follow Error bar = X ± SE (4) when X is the average value of data, SE = 2SDN-1, SD = 1N-1i=1N(Xi-X)2, N is the number of data and Xi is value of data No. i. 3.
From analyzing process, all data of every dolomite ratio were normalized.
From this result (Figure 8), the LHV data was polynomial decreased, and the fuel cost was straight increased.
The trend line of each data makes an intersection point, and it was an optimization point.

Rietveld analysis of X-ray powder diffraction data is a powerful tool that can quantitatively determine sample phase composition and stoichiometry of the phases.
All XRD data obtained were analysed using the Rietveld method to obtain accurate phase and sample composition.
The lattice parameters of the HA showed an anomalously high volume at the sintering temperature Fig. 1 Multiphase Rietveld analysis of X-ray diffraction data for sample sintered at 800ºC (lines for calculated and difference; crosses for observed data).
Repeated data collection and analysis confirmed the validity of this volume increase which appears to coincide with the decomposition of α-TCP and increasing content of �TCP.
No evidence was found for the reduction in occupancy of the hydroxyl sites in HA, as has been reported to occur in the formation of oxyapatite [14] Conclusions The application of Rietveld analyses on diffraction data has now become a very powerful tool in the study of materials.