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Phase composition of the sample cannot be obtained from XRD data, thus XFS data were recalculated and qualitative phase composition was proposed for the BFS sample (Table 2).
SEM data for mechanically activated samples of pure slag with no additives are shown of Figure 1.
DLS data for VEA-treated samples is shown on fig. 2.
Data obtained is shown on figure 4.
Compressive strength data (MPa) for various concrete compositions with different time of ageing.

Integrity detection technique is used to ensure the data integrity of network communication.
Authentication mechanism is that the data communication receiver can confirm the true identity of the data sender, and whether the data has been tampered in the transmission process. 5) Access control.
This layer mainly completes the perception and polymerization for data and information.
Application layer provides users with a wealth of specific services by analyzing and processing of perception data.
Wherein, security problem of middleware exists mainly from a large number of terminal data distributed processing security, illegal access, authorization management, etc.

To each determined M, the definite network algorithm is as follow: 1) Initializing the network, giving the network parameters and the random initial value; 2) Input learning sample P and the actual output T; 3) Network self-learning, namely the use of the network structure and network parameters to calculate the output of the network and the error function; 4) Using the method of gradient descent to calculate the change of network parameters and ; 5) Error back-propagation, using back-propagation to modify network parameters and ; 6) When the error function is less than a pre-set ,stop network learning; Otherwise return to step 3); Integration of the principal component analysis and the wavelet neural network The paper [5] introduces the principle component analysis, principal component analysis is a dimensionality reduction mapping method of the optimal linear transformation, it can translate the multivariable data into the less comprehensive variable, mainly for data compression
This method combines the wavelet neural network will be able to effectively meet the above requirements, the sample data is used to principle component analysis to extract principal components, then input the processed data into neural network to perform 28 days of the prediction of cement compressive strength, so that both reaching to remain the main massage of the existing variables and to reduce the dimension of the variable, but also to streamline the structure of the neural network.
In paper [5], we use the four principal components of the raw sample data which are extracted by using the mothed of principal component analysis as the input values of the neural network, the output values are 28 days cement compressive strength values.
And using the testing data to predict the build model, the prediction results are shown in table2.
We use the method of principal component analysis to compress the raw data,the five principal components which are extracted by the principal component analysis method are the input variables of the model,the output variables are the 28 days compressive strength,using the established model to test the testing data,getting the results are shown in table 3.

Because of the particular grain morphology the EBSD data were collected on the surface ND plane of the sheet, i.e. in the plane of rolling near the surface of the sheet cf.
Relative grain boundary energy values were obtained by combining crystallographic and geometrical data at triple junctions following the procedure described in [5].
For this reason the electrolitically pure iron data are not presented here.
Hence, the present data appear to reflect the known grain boundary energy reduction of the <110> 26.5° Σ9 misorientation.
Although the present conclusion is somehow preliminary because of poor data statistics it appears that a very strong preference for a specific (low-energy) crystal plane may be excluded.

As today’s ever-competitive business environment demands reductions in product development time and cost, the need for faster turn-around times and more efficient means of producing prototype and short-run tooling has increased.
In the preprocessing process, data should be import, simulation models should be built, and simulation conditions need to be set; in the solving process, the simulation results will be obtained; in the post-processing process, the simulation results will be analyzed and evaluated.
Geomagic Qualify is the most widely used one of CAI software.The general process of Geomagic Qualify is: First, CAD data and the data needs to be detected are imported and aligned; and then the data should be compared; finally, the data error are evaluated by comparing 3D comparison, 2D comparison, GD&T Measuring etc.朗读 Geomagic Qualify can create a variety of benchmarks and features which is helpful for data; Geomagic Qualify has many ways for alignment: the alignment based on benchmarks and features, RPS (Reference Point System), 3-2-1 alignment, the best fitting and other manual alignment; Geomagic Qualify can also be used for flatness, parallelism, perpendicularity, angle, cylindrical, bit Configuration, surface profile and total eccentricity G D & T Measuring and Comparing; 3D Compare creates a full color deviation map comparing the reference to the as-built part — aiding the designer’s understanding of the problems and enabling quicker turnaround time for design changes; Additional
We use the intermediate format such as STL or IGS for Dynaform and Geomagic Qualify as a bridge between them, to ensure that they exchange and share data between.
The barrier to data exchange between CAE and CAI is fundamentally solved, and ties of cooperation between analysis departments and inspection department can be established.

Closed squares and circles indicate data using homoepitaxial film and type-IIa substrates, respectively.
Closed triangles are reference data.
Except for these data points, n-type conduction was not observed clearly.
Open squares are reference data.
From Hall effect measurements, obvious n-type conduction was not clearly observed both on P or S implanted samples, except for several data points.

Fig. 5: Schematic of low-speed open circuit wind tunnel (left), and specialized design balance (right) Data Acquisition.
The analog-digital converter can acquire 200 kilo data samples per second simultaneously.
The output data can be obtained and saved in the desired file automatically.
The measured strains were converted to force data based on the balance calibration data.
To confirm that the measured data are reasonable and acceptable, two reference airfoils were selected for comparison.

To ensure the quality of the source data of the case study, we took the triangulate method to collect data from multiple information sources.
The study collected data mainly through primary survey and secondary survey, in aspect of primary survey, since the Quanta Computer headquarters is located in Taiwan, and therefore one-hand data gathered in the study from Dafeng (Chongqing) Computer Co.
Specific data source as follow: interviewed with internal staff and mid-level leaders in enterprise and important client; contacted Quanta Computer headquarters by e-mail to supplement the relevant issues.
Secondary data includes the following sources: directly read internal newspaper, opened files and other business documents of Quanta Computer and extracted contents about enterprise adaptability and client relationships; searched news, articles and publicly available data about Quanta Computer form Internet; chose analysis reports, comments and document material from other companies about Quanta Computer.
In terms of the customer value of ingredient brand, this part of the data coding result showed that there were 18 items support the point of view that procedure adaptation of Quanta Computer impact customer value.

So, many creep rupture lifetime data are needed to use the time fraction rule.
The solid line in the figure is the uniaxial push-pull data of solid bar specimens with the principal strain ratio of -0.5.
A factor of 2 band is based on the data of bar specimens in the crystal orientation of [100].
Most of the data are estimated within a factor of 2 band in the principal strain ratio range of -1≤f ≤1, whereas some of the data are located outside of the band.
Some of the data are underestimated and overestimated and the maximum scatter reaches to a factor of 7.

In view of the data exchange portion, compared to traditional EDI ,XML has more advantages.
Two levels of the structure are not sufficient to meet the diverse needs and the complexity of the application system of business process requirements, therefore, based on this and construct the user layer, data layer and the application layer of the three layer structure of information system.
User layer is in the client browser for HTML, with Scripting, Java operation,whch is used to complete the user and application level of treatment results between the mutual communication, and interaction between data.All can be directly transferred to the requester of the corresponding database.Mainly on application layer,the data layer is to used to provide the data source.which mainly adopts distributed structure[15].
The application layer, is mainly used for the user layer application request related to treatment, to business data, calculations were completed, but also the data processing results feedback to the user.
And the use of electronic commerce accelerates effectively the product and service information storage, data analysis and transmission, which can not only avoid the limitation of time and space, but also can effectively and quickly spread all the world.