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Relevant Technical Data on Mining Areas Control System Control system in coal mine areas has lot of technical design, combustion parameters in these complex data must be focus on mostly.
Fig.1 PIC control diagram PIC control function is to transmit the combustion data in mining area control system to control instrument, make the terminal to control the whole system by adjusting the inverter and safety valve, and process the dashboard data quickly, which makes huge promotion to the traditional technology.
In the mean time, it also has a lot of convenience in operation, for the function keys on the operation panel can be customized and able to timely receiving data, and changing parameter.
They include gas transmission, system data automatic reset, automatic ignition, data acquisition and transmission to terminal, fault alarm, production complete system self-test and other related functions.
Applying the PIC system in the daily control of coal mining area combustion, it appears fast data operation speed, high precision, accurate and reliable, adaptability for coping with the complicated situation adeptly, and even convenience for dealing with control difficulty in the operating system.

In order to refine the microstructure and improve the mechanical properties of the thicker steel plate, the large rolling reduction should be conducted.
Improving rolling reduction is a possible way to improve inner deformation of steel plate.
But confine to mill biting angle, mill stiffness and mill power and so on, the rolling reduction can not be improved obviously.
Numerical modeling Table 1 Data used in simulation Items Name value Mill parameters Back-up roller length (mm) 4300 Working roller length (mm) 1051 Elastic modulus (GPa) 206 Poisson ratio 0.25 Plate parameters Rolling temperature(℃) 1050 Yield stress (MPa) 100 Tangent modulus (MPa) 10 Elastic modulus (GPa) 110 Poisson ratio 0.29 The snake rolling and synchronous rolling processes can be simulated by Ansys LS-DYNA.
The data used in simulation can be seen in Table 1, and the finite element model for simulation can be seen in Figure 1.

In this paper, we compare the maximum achievable data rate, i.e. the Shannon capacity, of DFT-S-OFDM and OFDM under Rayleigh and with clipping.
It is well known that the achievable data rate of any practical system is upper bounded by the Shannon capacity.
Our results show that, in case of Gaussian data symbols, OFDM outperforms DFT-S OFDM.
The channel capacity is given by (5) where is the signal-to-noise ratio of data symbol si.
Multicarrier modulation for data transmission: An idea whose time has come, IEEE Communication Magazine, May 1990

The fatigue limit of a shape memory alloy composite determined the volume ratio and reduction ratio.
In this process, the important parameters are the volume ratio and reduction ratio of fiber.
The test was conducted at the reduction ratio (Rr) of 0%, 10%, 20% and volume ratio (Vr) of 0%, 5.2%.
Because of the scatter of fatigue life data at any given stress level, it must be recognized that there is not only S-N curve for a given material, but a family of SN curves with probability of failure as the parameter.
Table 1 shows the fatigue limit by the volume ratio and reduction ratio.

Hence, linear least square fitting is used for the data of coincidence part.
With the fitted data as standard, the second section data is taked translation and rotation transformation to fit the two section data.
The three times measurements result are fitted to one data according to the section splicing measurement, then compared the data above with the one time measurement results.
For fitting evaluation method, because this method is fitting the coincidence part of the two section data, so it can close to the curve of the overall trend maximum; Another method is curvature comparison method, the curvature is bending degree of curve each point, so the curved line is made up of the point closed to curve the overall trend, and has a better error reduction.
Fig. 5 This method is shown as follows: Firstly, two sets of data from coincidence part are extracted out, and the least squares fitting method is used to fit the two sets of data and the whole data to get curve C1, C2 and C.

Also the data was clarified that the CS molecules coordinate to the surface of Nano-Ag particles through their head-groups.
Thus, during the last few years, synthesis of nanoparticles is of a great interest and many methods have been developed to prepare silver nano materials e.g., chemical reduction, photochemical method, ultrasonic-assisted reduction, electrochemical method, template, irradiating reduction and biochemical method.
The main mechanism considered for the process is plant assisted reduction due to phytochemicals.
Fig. 1, FT-IR spectra of AgNPs (a) Chemical film, (b) Green film 3.2 UV-VIS spectroscopy UV-visible spectroscopic data of Each sample was analyzed by UV-visible spectrophotometer in the range 250-750 nm and the wavelength corresponding to maximum absorption ( λmax ) was recorded which are identical to the characteristics UV-visible spectrum of metallic silver nano particles. chitosan in 1% (v/v) acetic acid solutions is used as blank sample.
From the data in Tab. 1, reveal that the silver nanoparticles synthesized via green route are highly toxic to multidrug resistant bacteria hence has a great potential in biomedical applications.

The obtained results will allow the reduction in the number of real experiments in the creation of new materials with required properties.
The diffusion processes of iron and nickel were studied on modeling the couples Fe-Ni and Fe-NiO after a reduction anneal and sintering.
The distribution of nickel concentration in the diffusion zones of Fe-Ni and Fe-NiO according to the МРСА data is shown in Fig. 2.
It is possible to explain this fact by the raised deficiency of nickel structure after reduction that is checked out by data from the X-ray analysis.
On experimental data of the distribution of the elements concentration the mutual diffusion coefficients in the phases formed in the diffusion zone have been calculated.

After making data correction for the background and intensity, the ODF was calculated to recalculate the complete pole figures of each sample using MTEX software.
A 50% reduction was achieved after 9 successive passes while the 75% reduction was achieved after 13 passes.
The 90% reduction was accomplished in a further two steps.
The evidence of RX was observed for alloy-2 to 3 at 50% reduction while for alloy-4 it only appeared after 75% reduction.
SEM/EDX analysis was employed to obtain more data about the second phase particles in alloy-4.

The image digitized by the digital camera is filtered for noise reduction and compressed with the Bit Reduce Drawing Style Engine (called “BIRDS”), which reduces digital data by a factor of 10 to store the image data efficiently.
The DXF data obtained from the captured data is compared with the reference data in the matching stage.
Also, we can measure the dimensions of the converted DXF data with the computerized caliper.
The original DXF data provided by a client is stored in the shared server in the scan center.
The shape of the test sample that is carried into the scan center is converted to the DXF data.

In this paper, the Fe-Si-Ti multiphase composite ceramic has been synthesized from the Iron ore tailings of Panzhihua region with the carbothermal reduction nitridation (CRN) method.
In the present work, the Fe3Si-Ti(C0.3,N0.7) composite ceramic has been synthesized through carbothermal reduction nitridation (CRN) method from the iron tailings of Panzhihua steel company firstly, and then its properties have been tested.
This result is similar to the reported in our previous paper [6], where the graphite has been used as the reduction agent.
Based on the thermodynamic methods and the chemical composition of the starting material, we have known the principal reactions could be happened in this system according to the following equation: Fe3O4+SiO2+6C=Fe3Si+6CO (1) FeTiO3+3.3C+0.35N2=Fe+TiC0.3N0.7+3CO (2) 3Fe+SiO2+2C=Fe3Si+2CO (3) According to thermodynamic data from literature [7], Gibbs free energies (ΔGθ) of those chemical equations have been calculated.
[7] D.L.Ye and J.H.Hu.in: Practical Data Handbook of Inorganic Thermodynamics (Metallurgy Industry press, Beijing, China 2002).