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Data mining method based on rough set theory and BP neural network is put up.
At last, the mining data by the experimental data of the troops marching warfare simulation system and the result with the actual reference value is obtained. 1 Introduction Essence of modern warfare simulation system is an information processing system whose core depends on the model and data.
Its process contains calling, disposing and transmitting data constantly.
In this paper, for the simulation system data, based on the analysis of military data characteristics, research data classification, sources as well as the formation process, preliminary exploration is made using BP neural networks and rough set in simulation data mining.
The firing drill result data of troops traveling are simulated and analyzed.

Analysis Model on the Environmental Benefits of Hydropower Yu Zeng1,a,Feng Qian2,b* 1.2:School of Food and Chemical Engineering,Beijing Technology and Business University, Beijing100048,China a.zeng_yu_btbu@163.com,b qianf@th.btbu.edu.cn Keywords: hydropower; emission reduction benefits model; integrated environmental benefit analysis model Abstract: A integrated environmental benefit analysis model is established based on China's hydropower installed capacity and power generation data from 2007 to 2012, by using the methods of cost-benefit method, emission reduction calculations and multi-attribute evaluation (MCDM).
Based on China's hydropower installed capacity and power generation data from 2007 to 2012,the integrated environmental benefit analysis model is established from using the methods of cost-benefit method, emission reduction calculations and multi-attribute evaluation (MCDM).
Table 4 Emission reductions for each of Hydropower Years 2,007 2,008 2,009 2,010 2,011 2,012 CO2Reductions (one hundred million t) 3231.785 3755.352 3796.083 4560.064 4399.797 5737.779 SO2Reductions (ten thousand t) 14699.41 17080.79 17266.05 20740.94 20011.98 26097.64 NOxReductions (ten thousand t) 11432.88 13285.06 13429.15 16131.84 15564.87 20298.16 PM10Reductions (ten thousand t) 1511.642 1756.536 1775.587 2132.933 2057.969 2683.8 Data from Table 4 shows that the reduction contribution of China's Hydropower is significant, with an average reduction of CO2 0.424681 trillion tons; SO2193.1614million tons, NOX150.2366 million tons, PM1019.86411 million tons.
Hydropower reduction benefits can be calculated by follow formula: (11) In which,refers to the emission reduction benefits, and GNAC isthe annual net cost of the project.E is the emissionreductionamount of atmospheric pollutants or CO2per year of the project.When the emission reduction benefits is negative, which means that the projects’ annual reduction emissions of per unit weight air pollutants or CO2 can gain X dollars.
Through calculating the data from 2007 to 2012, hydropower gets greater emissions reducing value in CO2, SO2, NOX, PM10.

Extensive research data were published in the last decade on synthesis, characterization and application of AuNPs.
Prime objective of this study was to collect time versus concentration data of AuNP precursor (chloroauric acid) and correlate the experimental data with an appropriate kinetic model.
From the slopes of the ln (C/C0) vs. time data, rate constant values were calculated ( k = 0.0178 ± 0.002 s-1 ).
CONCLUSION Experimental data on kinetic and morphological studies on synthesis of gold nanoparticles by the citrate reduction method have been reported.
Kinetic analysis of data reveal that reduction reaction could be suitably modeled by an apparent pseudo-first order kinetics and the rate constant values determined from time-concentration profiles were reported.

Information system.System S can be expressed in the form of data table called decision table.
The method includes Modeling data processing and network training of two parts: 3.1 Data Processing The study sample for a particular input data as a rough set decision table the condition attribute and the output data as a rough set of decision attributes.
Data processing as follows: 1).
Select the previous 500 training data for the network and then 500 data for testing.
Discrete input and output data constitute the variable precision rough set decision table.

The kinetics study shows that the numbers of electrons transferred for the oxygen reduction reaction are ca. 3 at potentials of the first reduction wave, indicating the peroxide produced can transfer into OH–.
At such an electrode, O2 reduction undergoes two processes at ca. –0.3 V and –0.8 V (curve d).
The first reduction peak at –0.3 V corresponds to the reduction of O2 to HO2– (reaction (I–III)) mediated by quinone-like groups at RGSs.
The second peak at ca. –0.8 V corresponds to the direct 2-electron reduction of O2 to HO2– (reaction (IV)) [6].
Data obtained from Fig. 3.

Thermodynamic analysis of self-reduction and nitridation of V2O5 Thermodynamic of V2O5 selfreduction[1,2] V2O5 is reduced by carbon following the stepwise reduction of V2O5—VO2—V2O3—VO—VC.
If a vacuum is exert on the reduction system, the partial pressure of CO will decrease, then the above reduction reactions will become More easily.
Feeding nitrogen into reduction system, the partial pressure of CO will also decrease and the reduction reactions speed up obviously.
At the same time the reduction products can be nitrided to form VN.
Thermodynamics Data Book of Inorganic Compound.

Graphene oxide (GO) reduction is a promising way for graphene large scale synthesis.
That is mainly accomplished by reduction.
The reduction of both samples was done using cobalt ion assisted reduction with NaBH4.
Data were collected with Agilent 34970A data logger.
Ajayan, “New insights into the structure and reduction of graphite oxide.,” Nat.

Two new metameric black spectral dimension reduction methods based on color difference optimization are presented, and dimension reduction effects are compared in colorimetric and spectral accuracy.
For spectral dimensionality reduction method used in color reproduction, the latter seems to be more important.
The spectral dimensionality reduction methods are evaluated separately from two aspects of chromaticity accuracy and spectral accuracy.
Experimental data show that spectrum dimension reduction method based on metamerism black is built for a specific illuminant, only when dimension reduction illuminant and used color difference illuminant is consistent, color difference of low-dimensional model (consist of the three basis vectors or above) is zero, spectral accuracy will increase with the numbers of basis vector.
The Research of Spectral Dimension Reduction Method Based On The matrix theory, Acta Optica Sinica, 2014, 34(2):0233001-1～0233001-9.

In recent years, super hydrophobic surfaces for fluid drag reduction effectively promote the development of drag reduction technique.
In recent years, super hydrophobic surfaces for fluid drag reduction effectively promote the development of drag reduction, reducing the friction resistance of underwater crafts travel and fluid pipeline transportation [3].
Therefore, the study of drag reduction for ship speed improving and energy consumption reduction by super hydrophobic surfaces has attracted more and more attention in China and abroad.
Mechanical data of specimen with different thickness Thickness[mm] Maximum stress [MPa] Maximum strain Maximum deflection [mm] 0.78 1.2 1.5 1.8 2 2.3 77.05 32.55 20.83 14.46 11.72 8.86 3.852×10-4 1.628×10-4 1.042×10-4 7.23×10-5 5.86×10-5 4.43×10-5 2.675 0.7328 0.3752 0.2181 0.1583 0.104 Calibration of resistance strain gauge.
And further, it could provide theoretical direction for the analysis of drag reduction experiments.

The system consisted of three subsystems: system basic services, data processing applications and the data display system.
Data is cached locally when the data channel is interrupted and resend afterwards.
Data Transfer -- Remote data transmission between field unit and central server is used "wired" and "wireless" ways。
Using intelligent data acquisition device for data acquisition，transmission and breakpoint resume protects the authenticity and traceability of sensitive data.
Conclusions Data acquisition smart device satisfies the requirements of accurate and reliable data transfer and storage.