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The processor can be applied for data processing and be programmed or learned, communicate with data acquisition system.
All measured data immediately are available on dedicated home page.
I/O Data input/ output modules from outside world.
Database server Data storage, also highly depends on application.
Used to transmit data, tune, maintain and upgrade the system.

The experimental data have been adequately modelled using various formulations reported in the literature.
The values of a and b of Eq. (6) fitted to the experimental data are plotted as a function of the annealing temperature in Fig. 3-a.
The activation energy at the completion of recovery, QRy = 404 kJ/mol, and the values of the constants c1 = 1.471 10 15 and c2 = 228 kJ/mol have been evaluated relating the solution of the differential equation with the coefficients b and a of the logarithmic decay of the experimental data [16].
The comparison between the experimental data and predicted curves is shown in Fig. 4.
A good agreement has been found between the predictions of the model and the experimental data.

Letson and McCullough (2001) found out the relationship between SST data and soybean futures price [2].
to denoise ONI data, get the filtered signal, denoted as ONId [4].
Effect of ENSO on wheat futures yield Data Selection.
In the course of GARCH analysis, the data structure is required to be consistent.
So, it’s necessary to observe the data structure.

In the United States, lime stabilization has been effectively applied in highways, embankments, and airfields, demonstrating significant improvements in soil strength and reductions in plasticity when 4–8% lime is added [5].
Reference Type of Soil Used Stabilizer Observations [12] Various soils Lime + Zeolite Strength amplification by 7.56 times. [13] Various soils Lime + Biomass ash Retention improvement in water content observed. pH reduction beneficial for soil health noted. [14] Residual soils Lime + Activated carbon CBR enhancement by 92.79%. [15] Expansive clayey soils Lime + Sodium silicate CBR enhancement by 7.86 times. [16] Various soils Lime + Cement Structure densification verified by SEM and cohesion improvement [17] Various soils Lime + Carbon Shrinkage reduction and stability enhancement. [18] Metal-contaminated soils Lime alone Mineral phase formation (C-S-H, C-A-H) confirmed by XRD analysis. [19] Marine sediments Lime alone Porosity reduction and an increase in Moisture Dry Density.
This alteration is linked to an augmentation in the number of electrolytes, an elevated pH level, and a reduction in the thickness of the double layer due to cation exchange [22], [26], [27], [28].
This reaction kinetics decreases over time due to the reduction in available lime and the decreased mobility of lime within the soil, as the pore entry diameter is progressively reduced by the formation of cementitious compounds [34], [35].
These include the collection of data from geological maps and reconnaissance surveys.

It provides extreme water reduction, excellent fluidity and optimum cohesion, together with a very strong self-compacting effect.
Thanks to the surface adsorption and spatial separation effect on the binder particles, the hydration process also helps achieve the following properties: suitability for cements with high C3A, sulphates and alkali; suitability for Portland cement, mixed cement and high-aluminium cement; increased development of initial strengths; high water reduction; reduction of crack formation and creep resistance, as well as short absorption time [31].
Another obvious fact is the reduction in the maximum penetration value after 90 days in comparison with the penetration after 28 days.
This reduction amounts to 8 mm (28.5%) in the RL1 mix and 9 mm in the RL3 mix (29%).
[31] Product Data Sheet: Sika® ViscoCrete®-225 Powder, available at Https://usa.sika.com/dms /getdocument. get/a06ccf20-b654-3fb2-a947-2c18bdf5c4c0/pds-cpd-Sika%20ViscoCrete%20225% 20Powder-us.pdf.

Computer database refers to the organized, internal, unified managed, shared data group existing in the computer for a long term, which not only is the computer software system to manage and store the data in the data structure, but also is a new method for data management and technology.
First, the computer database can reduce the data redundancy; second, the computer database can realize the share between data; third, the computer data in the database is maintainable and consistent, and can ensure the safety and reliability of the data.
The database value lies in the data storage and sorting.
Some viruses will tamper the computer data, which may cause the data distortion of the database.
A large amount of information and data are stored in a computer database, and there is a part of the confidential information data needing to be strengthened and managed.

X-ray diffraction analysis showed that milling in beater mill in magneto fluidized bed leads to reduction of coherent-scattering region size, increase of lattice microstrain and dislocation density, making powder more active during sintering process.
ICSD database was used for structural characteristics analysis and data improvement.
Goodness-of-fit test of structural model and real experimental data was value of Rp-factor.

The investigations are done to obtain the basic cutting performance through the elaborate and literal formula, to ensure the blade to work smoothly, heat dissipation fast, and noise reduction considerable by using discontinuous and uneven distribution of working band and setting cooling--heat dissipation gaps and heat dissipation holes.
Speed: 2800 r/min, each test is cut into 10 pieces, saw blade wear according to the highest cutting 1000 incisions and resin cutting piece is cut into 250 data of incision.
Table 1 The comparison of performance and efficacy between the diamond saw and the commonly used resin discs in cutting the same workpiece Item The saw blade Resin disc Working temperature (saw) About 50 ℃ or so -- Cutting speed[m/s] 37.4 29-58(fast wear, and the corresponding diameter becomes smaller) Saw blade wear 0.5mm（After cutting 1000 tubes) 217mm(After cutting 250 tubes) Cutting disc diameter[mm] 255 400 Thickness of cutting disc1[mm] 1.8 3.2 Thickness of cutting disc2[mm] 2.0 4.2 Incision smoothness good bad Tube temperature[℃] 45 60 Pipe incision subsequent processing and finishing Not need need Note: not specified data are the corresponding value of the disc with cutting thickness of 2mm Overall saw blade can work without coolant, which is environmentally friendly, cooling-dissipating heat gap further increase the saw blade cutting department, interface of saw blades matrix and surrounding medium, accelerated cooling, improve the effect of cooling heat dissipation

More attention to manganese oxide-based catalysts has been paid due to their excellent catalytic activities in low-temperature selective catalytic reduction of NOx by NH3 (NH3-SCR) in recent years.
According to the data, the amount of supporting can be calculated.
According to the data, the amount of supporting can be calculated; making Mn/Ti is 0, 0.1, 0.2, 0.3, 0.4, 0.5 and 0.6.

Energy information acquisition is the process of data integration of heterogeneous database, heterogeneous data integration process has two steps.
This is the first heterogeneous data integration, it realizes connection and sharing of automatic data, while maintaining date real-time.
In real-time database as the core of the first time heterogeneous data integration, also to be second heterogeneous data integration, namely the real-time database data, discrete data, energy inventory data and laboratory analysis data focus on core database, and to unify and standardize the acquisition time and cycle time of data collection.
Among them, the discrete data mainly include the energy consumption data of unable automatically measure, the data from the manual input; energy inventory data obtains from the production management system; laboratory analysis data mainly point the energy calorific value and so on, obtains from the laboratory management system.
Energy data are distributed in cement enterprises’ three levels: ERP (Enterprise Resource Planning) / MES / PCS, among, most of the foundation energy management data from ERP, the data of energy efficiency analysis and energy optimization control is mainly from MES and PCS.