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Recently, these have been studied by many scholars at home and abroad[4-8], but the complete CO2 capture data of long-running power plant is absent, and most of the datum are from different systems and part of the datum are assumed which maybe exists a big deviation to the actual situation.
For more than one year operating, a number of reliable data are accessed, which lays a solid foundation for research.
Power plant is equipped with selective catalytic reduction (SCR) de-NOx system, electrostatic dust removal system and limestone-gypsum wet desulphurization system. 1.
Though the scale of carbon capture demonstration project in Gao Bei-dian plant is small, it greatly promotes the development of carbon emission reduction.
The Second Power Plant of Shanghai Shi Dong-kou which operated in late 2009 is the actual carbon capture engineering application, and it plays an important role in carbon reduction work in China.

At the same time, the errors in passes 11-14 are caused by overcooled ends of the rolled product, which were not taken into account in the simulation, due to lack of actual data temperature for these areas.
In addition, partial reduction of pause time (up to 29 s and 20 s instead of 58 s and 30 s respectively) between the passes is proved by actual data when rolling 4.5×2585mm thick plates from 150mm thick slab in mill 3200 at Trametal.
By reducing pause time, it was possible to raise the metal temperature in the passes, resulting in the rolling force reduction.
Comparison of the reduction of rolling force due to the increase in metal temperature along the pass and the reduction of the time of pause by alternative is shown at Fig. 4 Fig. 4.
Summary In the paper, there has been checked the developed mathematical model based on actual data obtained at mill 3200 (Trametal).

The data allow a complete description of the roll behavior in operation.
The sectional method was applied using a stepwise reduction of the roll diameter in combination with monitoring the stress state of the roll (Fig. 1).
From these data, a 3-dimensional distribution of primary residual stress was derived.
After reduction of the maximum load to the permissible range, the rolls worked faultlessly.

And which can simplify and calculate knowledge by introducing reduction and summation [1].
Fig. 1 Prediction model of rough set neural network Sample collection According to the existing research results and national standards[5][6], 30 measured data of caving mining method are used to be training and testing sample, after the measured data is pretreated by front-end processor of rough set theory, then it is trained and predicted by the BP neural network algorithm.
Discretization of Sample information data Before the sample is reducted by rough set theory, it must be discretized, and the essence of discretization is space division by selected breakpoint.
Table 1 General situation of a copper mine Mine number Category Rock consistence coefficient soundness Ore body dip angle (°) Mining thickness (m) Minging depth (m) Footwall Upper plate Footwall Upper plate A copper mine General situation of a copper mine 6.2 8.0 Middle stable Relative stable 75 50 850 Input samples of neural network 1 2 2 1 3 3 4 According to the discretization of rough set data and attribute reduction theory, the date is preprocessed.
Table 2 Comparison to calculated results of displacement angle Displacement angle of upper plate（°） Displacement angle of footwall（°） Rough set neural network method 62.57 71.23 BP neural network method 56.12 69.25 Measured values 63.81 73.65 Conclusion In the comprehensive analysis of influence factors of stratum movement, based on the intelligent data analysis of rough set theory and nonlinear relation between the approximation ability of artificial neural network theory, this paper puts forward and designs rough set neural network model in selecting stratum movement angle.

All data were collected at the passenger breathing height in the rear seat.
All Data were collected under five different ventilation settings: (1) all windows closed and ventilation off
In the Fig.2, PM2.5 data of SHS with and without air purifier under parking condition was compared.
Obviously, the PM2.5 concentration at 30 mph driving condition was higher than the data at 60 mph speeds, which means the higher driving speeds caused the higher air exchange rate between indoor and ambient.
If only through the vehicle air-conditioning, and its reduction of PM2.5 was only 20%.

The data reduction and correction for background scattering and instrument sensitivity functions was performed using the ILL (Institute Laue Langevin) software package.
These lognormal distributions were fitted to the given Q-range available from the data in the equation 2 2 3 2 0 4 ( ) ( ) ( , ) 3 d Q R N R F Q R dR d σ η π ∞  = ∆   Ω  ∫ (4) where ∆η and R are the scattering contrast (η=scattering length density) and the radius of the spheres, respectively. 0.01 0.1 1E-3 0.01 0.1 1 10 100 1000 1.6 GPa 20 oC 100 oC 200 oC 300 oC Intensity, I(Q) (arb.)
On the data fitting, however, none of the experimental curves could be satisfactorily approximated with just a single lognormal distribution, which means that in all cases the distribution of the pores is different from this basic distribution type.
This coarsening process can also be directly seen in Fig.1, where the scattering intensity curve for 300 o C reveals a reduction of the intensity at large-Q, which means small size of scatterer, as compared to the other curves.
Numerical data for pores at different temperature.

It provides a certain reference for the reduction of noise and vibration of car’s air conditioning and refrigeration system.
Through the interior noise test in different conditions, the octave analysis, according to the formula: [5],Thus three point total sound pressure level of data are calculated, such as table 1.
Therefore, finding out the vibration noise transmission way in order to have a purpose for damping noise reduction.

So the cooling and filling time is directly proportional to the reduction of production cost. 3D model of the mould was created in Autodesk Inventor Proffesional software and then solidification of material was simulated in Autodesk Moldflow Insight software.
a) b) c) d) Fig.5 Time of mould filling analysis Fig.6 Summary of mould filling times for individual alternatives [s] Cooling time of squirt product is the longest period in a process of injection moulding; therefore it is necessary to highlight the importance of this factor, because the shortening of the time needed for squirt product cooling is directly proportional to the reduction of production costs.
Materials Vol. 440 (2013), p. 188-193 [4] Dobransky, J.Baron, P.: Application of Computer Simulation in the Manufacture of Thermoplastic Products by Injection Molding, In: ICCEE 2010 3rd International Conference on Computer and Electrical Engineering proceedings, Chengdu, China, (2010), p. 628-631 [5] Stancekova, D. et al.: Diagnostic of the Tools for Bulk-Forming and Renovation by Milling, In: ICET 2013 Proceedings of International Congress on Engineering and Technology, Dubrovnik, Croatia,(2013), p. 245-250 [6] Ress, H., C.: Selecting Injection Molds – Weighing Cost versus Productivity,Hanser Publishers, 2006 [7] Goban, J.: Optimization of mould cooling system for the plastic injection technology, Doctoral thesis, FMT TUKE, Presov, 2013 [8] Spisak, E., Majernikova, J.: Analysis of variance of mechanical properties of sheets as the input parameters for simulation of processes, In: ActaMetallurgicaSlovaca, Vol.18, no.2-3, (2012), p. 109-116 [9] Mares, A., Senderska, K., Kovac, J.: Data

Compared to Si, the SiC freewheeling diode produced over twenty times lower reverse recovery charge leading to approximately a factor-of-four-reduction in turn-on loss.
Finally, a physics based circuit model has been developed and verified against measured performance data.
Overall the JBS parts demonstrated a 20x decrease in reverse recovery charge and about 4x reduction in turn-on loss.

Since most old logging drawing is drawing in the last century, in view of the limitation of the technology level, the old logging drawings is saved at the moment, and no digital logging data.
In order to complete the development of old again, ensure the accuracy of the mining, the digital logging data need to be stored through the scanning logging drawings, then the log drawings need to be carried out all sorts of complex analysis and calculation.
In order to minimize data loss, the drawings of engineering scanning are all TIFF format, the more memory space is commonly dozens of times to hundreds of megabytes.
Thus, the calculation of image magnification is more than reduction, and the time consuming of more complex algorithm is more than simple algorithm.
Vyukhin: Optoelectronics, Instrumentation and Data Processing, Vol. 44(2008), p.52 [5] A.Z Zhang, Z.L Liu, X.C Zou and Z.Q Xiang: Microelectronics & Computer (In Chinese), Vol. 24(2007), p.49