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At present, the development of power industry is facing the pressure of energy saving and emission reduction.
Power industry as the large user of energy production and consumption is the key field of energy saving and emission reduction.
At present, energy conservation and emission reduction is arduous task in the "11th five-year" plan.
It is of great significance for energy conservation and emission reduction in power industry to finish "11th five-year" plan.
[13] National Coal-fired Units Technical Association, “Competition data analysis of national thermal power plant units (600MW grade) in 2008,” Electric Power Technology,vol.6,pp.1-3,2009.

FG was a knowledge representation and data mining method to mine the intrinsic link between the data and improve the clarity of the potential knowledge.
The discrete signs attribute data sets were shown in table 3.
Discrete signs attribute data sets.
FG was a new knowledge represent and data mining method, the link between data was performed in graphical method.
The FG after reduced Through the FG can did layer reduction [11].

azhangji0548_cn@sina.com, byanhan006@163.com Keywords: WSN, LEACH, Cluster-head selection, Data reduction, Network lifetime.
(2) According to the model, if we only consider the circuit losses, Formula (3) stands for the energy consumption when receiving k bits of data, and Formula (4) represents the energy consumption when a node applies data fusion on k bits of data, wherein Esb means the energy consumption of data fusion per bit of data
Improvement Based on Data Redundancy.
(7) Set a similarity threshold ρt, if ρ ≥ ρt, we take the data collected in the nth round as redundant data which have no impact on the final data fusion.
So the data does not need to be sent to the cluster head, and the cluster head can use the data collected in the mth round when performing data fusion.

The lattice parameters, oxygen content, volume of unit cell, orthorhombic distortion, hole concentration in CuO2 plane and charge on Cu-O plane were evaluated using XRD data.
The structural data obtained from XRD patterns are tabulated in Table 1.
The oxygen content in the samples is calculated by formula [5] from X-ray diffraction data using Eq. 1 and tabulated in the Table 1
The orthorhombic distortion was evaluated using XRD data by the formula [c/(a+b)] [6].
From XRD data, it is confirmed that all samples are in orthorhombic pervoskite structure.

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).

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.

Comparison of the calculated and technological data shows that the melting ends in conditions close to chemical equilibrium.
The initial data concerning the chemical composition of the phases were treated using a mass balance equations and data concerning the mass fraction of each phase.
[wt.%] Calculation: S = 0.98 5.25 5.84 33.82 42.52 1.257 X-ray microanalysis data: – 5.28 5.89 33.90 42.48 1.253 Table 3.
The thermodynamic analysis results are in full agreement with experimental data.
This fact confirms that the method of calculation and the adjusted thermochemical data can be used for modeling a wide range of metallurgical tasks.

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.

Meanwhile, the statistical data of regional pavement diseases collected by the department of highway conservation and management are enormous.
The assumed value of affecting factor after pretreatment for disease data corresponds to the attribute value of related condition attribute.
Limited by the quantity and types of statistical data, the paper only conducts a simplified numerical example without checking on believe degree.
Therefore, the reasonability and applicability of the model should be checked on larger scale practical data and believe degree level.
Considering the incompleteness of statistical data, the rough set theory of incomplete information sysytem can be used to deal with the gathered data to objectively determine the disease genesis.

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.