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The system works well with decent economic benefits and accord with energy conservation and pollution reduction.
CO2 emission reduction is 249.4t/a, SO2 11.3t/a, smoke and dust 8.5t/a, ash 147.4t/a.
Table 3.1 Operating data of the centralized air-conditioning system Season Energy Consumption Energy Cost (RMB10,000) Cost Index comprehensive energy efficiency coefficient Electricity (10,000kWh) Vapor (t) RMB/m2 (building area) RMB/m2 (air-conditioning area) Summer 46.75 1984.5 49.37 12.03 16.32 4.83 Winter 18.91 0 15.12 3.69 5.00 23.41 Total 65.66 1984.5 64.49 15.72 21.32 — Other economic gains 1.
Table 3.2 Emission Reductions Cooling water Twice reduction of heating backwater temperature Coal saving of power plant Total Standard coal saving（t） 0.72 543.75 22.42 566.92 CO2 reduction（t） 0.32 239.25 9.88 249.44 SO2 reduction（t） 0.01 10.88 0.45 11.34 Smoke and dust reduction（t） 0.01 8.16 0.34 8.50 Ash reduction（t） 0.19 141.38 5.84 147.40 Conclusions The regional central conditional system in Xiezhuang Coal Mine has fully utilized and realized the cascade utilization of used heat mine water and recycled water of electric power plant. 1.
CO2 emission reduction is 249.4t/a, SO2 11.3t/a, smoke and dust 8.5t/a, ash 147.4t/a.

It is obvious that the reduction starts from the exterior of the oxide crystals but the complete reduction could not be achieved.
Experimental data mentioned in the literature have also showed that the reduction rate increases when the amount of H2 rises from 5% up to 15%.
Further increase (up to 25%) does not influence significantly the reduction step [2].
Literature data confirm that the reduction rate of the wüstite is the biggest between 760-850ºC.
Being known the kinetic of the reduction the time and the temperature necessary to the complete reduction of the oxide layer could also be calculated.

This distribution is an important input data for recrystallization models.
The recrystallization textures for polycrystalline copper rolled to low and high reductions were predicted in agreement with experimental results.
The used algorithm is a convenient method of function interpolation for irregularly scattered data, which is precisely the case, since we dispose of five stored energy values estimated independently for five ideal orientations (and equivalent ones given by the crystal and sample symmetries).
Stored energy values estimated from X-ray measurements for ideal orientations in copper rolled to 70% and 90% reduction [5].
Cross-sections of the interpolated SE distributions from preceding figure: (a) ideal orientations for copper; (b) SE for 70% rolling reduction; (c) SE for 90% rolling reduction.

However, data regarding the environmental effects of this program are urgently needed for scientific and objective assessment.
The data describing the planting unit was provided by the Linqing Agricultural Bureau.
Emissions reduction benefits.
The TP and NH3 emissions reduction contributed 79.78-83.20% to the eutrophication potential reduction benefits.
The acidification reduction index was 0.0140-0.0452, which also showed a significant emission reduction benefit.

Fig.2(b) shows the effects of strip profile by the variation of reduction ratio, with the increase of reduction ratio, the profile varied from middle waves to edge waves.
When the reduction ratio is 20%, a better profile result is obtained.
That mean the middle wave is increased with the reduction ratio increase.
The online measuring data before application and after application are obtained.
As shown in Fig.5(a)-(d), the crown and flatness data have significantly descent, and good performance of profile control is obtained. 0 2 4 6 8 10 1 20 39 58 77 96 115 C h ( u m ) Ch 0 2 4 6 8 10 1 20 39 58 77 96 115 F l a A v e ( I U ) FlaAve (a) (b) 0 2 4 6 8 10 1 20 39 58 77 96 115 C h ( u m ) Ch 0 1 2 3 4 5 6 1 20 39 58 77 96 115 F l a A v e ( I U ) FlaAve (c) (d) Fig.5 Comparison of measuring data before and after application of preset schedule Conclusion A elasto-plastic finite element method code has been developed to simulate the asymmetrical rolling of strip, considering unequal roll radii, unequal speed ratio between the upper roll and lower roll, different exit thickness and different reduction.

A Hybrid Fuzzy-RBFN Filter for Data Classification Balázs Tusor1,a *, Annamária R.
The suggested structure can efficiently be used for data classification.
In order to reduce the number of the neurons, the training data is clustered.
In both experiments, the training data pool consists of 10000 unique data samples generated from the problem domain.
The training of the hidden layer is achieved by clustering the training data.

The point cloud data of sighting scope is used to validate the strategy.
The original point data collected by the measuring device generally requires pre-processing operations such as noise filtering, smoothing, and data ordering for subsequent operations.
Feature-Based Section Curve Reconstruction Pre-processing the original slice of point cloud data.
Data reduction is necessary to accelerate feature point recognition.
The pre-procession including median filtering, data reducing and points sequencing is conducted.

And the data nonlinearity could be preserved by nonlinear dimensionality reduction methods such as LLE, LE and ISOMAP.
Data Set The data set that we used is Washing DC image is which was collected by the HYDICE sensor over a Mall in Wash-ington DC.
The spatial re-solution of the Washington DC data set is 2 m/pixel.
Washing DC Data Set.
Data Eng., vol. 21, no. 9, pp. 1299–1313, Sep. 2009

aemail: zkjjay1@163.com Keywords: wind power; PEVs; scenarios generation; scenarios reduction; synergistic dispatch Abstract.
Then, we used scenarios generation and reduction techniques to predict the output of wind generators.
Parameters of ARMA can be estimated from historical data.
Scenario reduction: It is required in the scenario reduction that the scenarios are streamlined while maintaining the integrity of the information.
According to historical data , 10 reduced scenarios of wind power in next 24 hours were obtained by the scenarios generation and reduction technique.

Tribometer test is generally conducted for repetitive sliding at low contact pressure (up to tens of MPa) and its use for high contact pressure such as in the current study (up to 600 MPa) presents unavoidable experimental artifacts which require correction of experimental data.
The corrected friction coefficient values were derived by subtracting the coefficient of friction above 450 MPa by the gap between the average coefficient of friction for the immediate three data points higher and lower than 425 MPa and this correction is shown in Fig. 6.
Fig. 7: Friction coefficient for textured pin on plate experiment The friction reduction throughout the range of pressures examined can be quantified by calculating the percentage of friction reduction (%Δµ, Eq. 1 and Fig. 8).
There is a region with positive effect from surface texture (positive friction reduction, 230 – 550 MPa) and another segment with negative effect from surface texture (negative friction reduction, 50 – 220 MPa).
It is important to note that the positive friction reduction is observed only above 230 MPa and that the results at contact pressure above 200 MPa were subjected to data correction (Fig. 7).