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In order to analyze measuring data from the manufacturing process, these data first have to be collected and condensed.
Thus, a PPR (Product, Process and Resource) model is generated that represents a virtual model of the real factory based on an integrated data model.
In production, the measuring data can be merged and compared with the appropriate measurement and quality features.
In this way, it is able to realize product and resource variants whose 3D data can be used for FEM and kinematical simulations.
Therefore, new methods in data storage have to be discovered to achieve a structured data storage of simulation models with their results of stresses, deformation degrees and the deformed model.

The carrying out of the project and implementing of the system is based on the basic structures of data in the form of a relation from a relational model of data [21].
Despite the passing of time and the development of the most modern models of data, a better method of designing and applying the structures for storing data has not been developed [20].
Data Model for Standards and Materials Modules designed in Oracle JDeveloper The original project of the layer of data has been created for the Oracle 10g database server in Oracle JDeveloper, which enabled us to model the appearance of the main modules of application.
At present, DBSMP consists of 112 tables, and it is impossible to present the full ERD diagram for the data model.
Codd, A relational model of data for large shared data banks.

The theory is that delaminating a complex surface 3D digital model along the contour line, and forming a series of section 2D data, then doing plastic forming from the top to the bottom level by level and part by part according to the section 2D data.
Under the control of computer, the forming head mounted on a 3-axis joint linking CNC machine is moved to the top position of a model first and set a rolling reduction for the sheet metal, and then plastic deformation is done along the contour line of the first level (shown in Fig. 1).
When the surface of the first level is finished, the forming head will be set another rolling reduction and be moved along the next contour line, and then the surface of the second level will be done.
The specific data of machine tools automatic programming is below, but it’s too long to show all in this article, so a small part of program at beginning is cut out to show the data

The XRD data were further analyzed qualitatively and quantitatively by means of a general structure analysis system (GSAS) software [13].
The diffraction pattern for x = 0 and 0.1 showing a single phase BaFe12O19 with no other additional peaks could be identified when refer to ref. data JCPDS: 00-043-0002.
The refined diffraction patterns as depicted in Fig. 1 has a good fit between the theoretical and experimental data.
The refined X-ray diffraction patterns of Ba1-xLaxFe12O19 (a - f) The diffraction pattern for x = 0 and 0.1 showing a single phase BaFe12O19 with no other additional peaks could be identified when refer to ref. data JCPDS: 00-043-0002.
The reduction of Ms value with x clearly due to the increase of second phase presence in the sample as x increased.

The experiment studying on the relationship between pore pressure and deep coal mine rock permeability has profound significance to guide the application of disaster prevention and reduction such as coal rock water injection and other outburst preventions.
According to the data collected by computer automatically during the test, k value of rock permeability is calculated[6, 10]: (1) Where, n is the rows of data collection; Δp(i-1) is osmotic pressure difference in the (i-1) th row (MPa); Δp(i) is osmotic pressure difference in the ith row (MPa).
Coal rock specimens are cylindrical and shall be sealed well, to prevent the water in the specimen and the oil in the triaxial indoor blending and make the test data distortion or even test failure.
The basic idea is that the specimens are applied to the designed axial compression, confining pressure, pore pressure and osmotic pressure difference respectively, and then the changes of osmotic pressure difference with time is determined in the condition, thus the permeability of the sample under the state of stress can be calculated(for the elimination of test error, we choose the relevant parameters generally in the 100~300s after pressure difference begins to stabilize the reduction).
Fig.2 Strain-permeability rate curves of DT-1 corresponding to the whole stress strain process Fig.3 Strain-permeability rate curves of DT-2 corresponding to the whole stress strain process According to the determination data of conventional triaxial compression test, 12~13 strain points are chosen to test the complete stress strain path of DT-1~DT-3 specimens.

The total pore volumes were calculated according to the Dubinin–Raduskevich equation using the N2 adsorption data.
Results and Discussion 3.1 Microstructure of CNTs N2 gas adsorption/desorption isotherm was used herein to characterize CNTs (data not shown).
It is worth mentioning that this work only dealt with a maximum adsorbent dosage of 3g as the literature indicated a reduction in the removal efficiency beyond this dosage due to the aggregation of adsorbent particles [26].
It is also clear from the outcomes obtained herein that all process parameters had a positive effect on the removal efficiency of sulfur from the heavy naphtha fuel; with the adsorbent dosage having the largest effect whereas contact time having the lowest. 3.3 Adsorption Kinetics In this work, the kinetics of the adsorptive desulfurization process utilizing CNTs and CNTs/alkali agents as adsorbents were examined by two kinetic rate models: pseudo-first order and pseudo second order to find the optimal kinetic model that well-fitting the experimental data.
Li, "Adsorption of Dibenzothiophene on Ag/Cu/Fe-Supported Activated Carbons Prepared by Ultrasonic-Assisted Impregnation," Journal of Chemical & Engineering Data, vol. 55, no. 12, pp. 5818-5823, 2010/12/09 2010

Such data is critical for evaluating the fire performance of structure members, which is a basic design requirement in buildings due to fire is one of the major risks to structures that can cause mechanical deterioration and explosive spalling of concrete1.
Moreover, these data illustrate that GGBS-FA-SF based ULGCs exhibit comparable bending strength as that of ordinary Portland cement paste of similar strength after exposure to high temperatures [16].
With an increase of fiber dosage, the compressive strength of specimens slightly increased at 25–100 °C while a reduction of strength was observed at 300–700 °C.
Moreover, these data illustrate that GGBS-FA-SF based ULGCs exhibit comparable compressive strength as that of ordinary Portland cement paste of similar strength after exposure to high temperatures[16].
To investigate and compare the statistical significance level of the variables on mass loss and mechanical properties, a two-way analysis of variance (ANOVA) test[17] was carried out for the data obtained from the specimens and the results were presented in Table 3.

The data platform is used to store all kinds of basic data of soft science laboratory.
Historical and real-time index database stores various kinds of company’s past and present data, such as business data, efficiency data and benefit data.
Economic policy database holds national and province data of finance, taxation, banking, credit policy and other data.
These data provide the foundation for power operation analysis and decision-making.
Big data analysis system based on massive historical and real-time data can uncover valuable information from massive data by use of data mining, statistical analysis and other methods.

In other words, hardware and software of the data centers are called cloud.
University Library using cloud computing service to teach, which can get at least five benefits: super computing power, user-centered, realizing green data calculation, reducing the possibility of data leakage, economy and simplicity.
Therefore, through alliance of foreign language university libraries in China, reading teaching resources integrated carefully for a long time can be stored at the same time, and to make full use of dynamic integration of data compression technology, data deduplication technology, data encryption technology, P2P technology to edit, add, delete and digitize the practical and typical audio data, video data, ROM data in need of English Reading teaching, and to form a nationwide reading teaching database “shared cloud”, which can be shared by universities all over the country.
If we adopt combined database method, we can get the scattered data aggregation together to make a solution.
Long, The choice of cloud digital library----public clouds, private cloud and traditional data center.

It guarantees the connection between business platform and network data mining control terminal.
Database: It stores data.
The business entity layer contains various business entities: the data request to gateway server and the related data analysis; the data request to platform server and the related data analysis; processing operations of database tasks and database maintenance.
The business data of status is observed.
Power consumption data acquisition system during the Q / GDW 373 - 2009 Functional Specification [S].